CN119339034B

CN119339034B - Information superposition method of intelligent perception information in virtual space

Info

Publication number: CN119339034B
Application number: CN202411885974.2A
Authority: CN
Inventors: 郑东; 赵五岳; 刘浩
Original assignee: Hangzhou Yufan Intelligent Technology Co ltd
Current assignee: Hangzhou Yufan Intelligent Technology Co ltd
Priority date: 2024-12-20
Filing date: 2024-12-20
Publication date: 2025-05-06
Anticipated expiration: 2044-12-20
Also published as: CN119339034A

Abstract

The embodiment of the present application provides a method for superimposing intelligent perception information in a virtual space, which establishes a data stratification mechanism based on importance weights by evaluating the information completeness and relevance of multi-source data such as images, temperature, and sound. A hierarchical display buffer is used to implement hierarchical management of information, and the visual effect between layers is optimized by combining edge clarity evaluation and fuzzy processing technology. Intelligent superposition of multiple layers of data is achieved through contrast enhancement and transparency control, and the display refresh strategy is dynamically adjusted based on the timeliness of the data. This method effectively solves the problems of chaotic display and visual interference in traditional superposition solutions when processing multi-dimensional perception information, and improves the quality of information display in virtual space.

Description

Information superposition method of intelligent perception information in virtual space

Technical Field

The application relates to the field of data processing, in particular to an information superposition method of intelligent perception information in a virtual space.

Background

In the development of virtual reality and augmented reality technologies, multi-dimensional superimposed display of intelligent perception information is a key technology for realizing immersive experience. The traditional information superposition method generally adopts simple hierarchical superposition and lacks an intelligent evaluation and dynamic adjustment mechanism for data importance. Although some display schemes based on data priority exist, there are significant shortcomings in handling the superposition effects and visual experience of multi-source heterogeneous data.

The existing system has the problems of disordered display, unclear hierarchical relationship and the like when processing multidimensional sensing data. Especially when a plurality of types of data are simultaneously superimposed for display, visual disturbance and information redundancy are liable to occur. Meanwhile, the existing method lacks comprehensive evaluation of timeliness and integrity of data, and cannot realize intelligent layered display of information, so that perception and understanding of key information in a virtual space by a user are affected.

Therefore, how to build an intelligent data evaluation mechanism, realize effective layering and dynamic display of multidimensional information, and improve visual presentation quality of a system is a technical problem to be solved currently. The information display effect of the virtual space is related, and the information display effect is an important basis for improving user interaction experience.

Disclosure of Invention

Aiming at the problems in the prior art, the application provides an information superposition method for intelligent perception information in a virtual space, which can effectively solve the problems of chaotic display and visual interference when the traditional superposition scheme processes multidimensional perception information and improve the information display quality in the virtual space.

In order to solve at least one of the problems, the application provides the following technical scheme:

in a first aspect, the present application provides an information superposition method for intelligent perception information in a virtual space, including:

collecting image data, temperature data and sound data in a scene space, carrying out type labeling on the data, constructing a data priority evaluation model, calculating information integrity and relevance score of the data, generating an importance weight coefficient based on the integrity score and the relevance score, taking the importance weight coefficient as a data layering basis, and establishing a virtual space coordinate mapping function;

Performing layered slicing on the virtual space coordinate system, constructing a layered display buffer zone, calculating each layer of display parameters according to the importance weight coefficient, distributing data with the greatest importance weight coefficient to a top layer display buffer zone, calculating the edge definition score of each layer of data, setting a fuzzy radius parameter based on the edge definition score, performing fuzzy processing on non-top layer data, constructing an interlayer contrast enhancement matrix, adjusting the display parameters by using the interlayer contrast enhancement matrix, setting a minimum interlayer interval threshold value, adding layered marking bits in the display buffer zone, mapping the layered marking bits into transparency control parameters, generating a mixed weight coefficient based on the transparency control parameters, and performing superposition processing on different layers of data by using the mixed weight coefficient;

and establishing a display strategy mapping table, selecting a corresponding visual template according to the type label, calculating a data timeliness score, converting the timeliness score into a display refresh period, updating the information state in the virtual space based on the display refresh period, executing smoothing processing on the information state, and synchronously displaying the processed result to the virtual space interface.

Further, the collecting image data, temperature data and sound data in the scene space, performing type labeling on the data, constructing a data priority evaluation model, and calculating information integrity and relevance scores of the data, including:

collecting three-dimensional image data, temperature field data and sound field data in a scene space, uniformly storing the data into a buffer queue, reading data items from the buffer queue, extracting distribution characteristics of the data items, establishing a data type characteristic library, matching the distribution characteristics with the data type characteristic library, and adding type identifiers to the data items;

And converting the data item into a vector representation form, constructing a neural network evaluation model based on the vector representation form, calculating a data redundancy coefficient and a spatial correlation coefficient for the data item, mapping the data redundancy coefficient into an information integrity score, and mapping the spatial correlation coefficient into a correlation score.

Further, the generating an importance weight coefficient based on the integrity score and the relevance score, using the importance weight coefficient as a data layering basis, and establishing a virtual space coordinate mapping function includes:

Normalizing the integrity score and the relevance score, constructing a linear combination model, inputting the integrity score and the relevance score into the linear combination model, calculating the comprehensive score of the data item, generating an importance weight coefficient based on the comprehensive score, prioritizing the data item by using the importance weight coefficient, and dividing the ordering result into a plurality of layers;

establishing a three-dimensional coordinate transformation matrix, converting data position information in a scene space coordinate system into virtual space coordinate values, constructing a uniform grid in a virtual space, calculating position deviation of grid nodes, constructing a coordinate interpolation function based on the position deviation, and taking the coordinate interpolation function as a virtual space coordinate mapping function.

Further, the layering slicing is performed on the virtual space coordinate system, a layering display buffer area is constructed, each layer of display parameters are calculated according to the importance weight coefficient, and data with the largest importance weight coefficient is distributed to the top layer display buffer area, including:

Setting a slice interval threshold in the virtual space coordinate system, dividing a space level based on the slice interval threshold, calculating a depth value of each layer of slice, carrying out quantization processing on the depth value, storing the quantized depth value into a depth buffer zone, distributing an independent display buffer zone for each layer of slice, and establishing an interlayer data index table;

reading the importance weight coefficient, constructing a display parameter calculation model, inputting the importance weight coefficient into the display parameter calculation model, generating a display scale coefficient and a position offset of each slice, screening a data set with the maximum importance weight coefficient, and distributing the data set to a display buffer zone corresponding to a top slice.

Further, the construction of the interlayer contrast enhancement matrix, the adjustment of the display parameters by using the interlayer contrast enhancement matrix, the setting of an interlayer minimum interval threshold, the addition of a layering mark bit in the display buffer, the mapping of the layering mark bit into a transparency control parameter, the generation of a mixing weight coefficient based on the transparency control parameter, and the superposition of different layers of data by using the mixing weight coefficient, includes:

Calculating brightness difference values of adjacent level data, constructing a contrast adjustment coefficient matrix, performing matrix multiplication operation on the contrast adjustment coefficient matrix and the display parameters, setting an interlayer minimum distance value, adjusting a level interval based on the minimum distance value, adding a level identification field in a data structure of the display buffer area, and mapping the level identification field to a transparency numerical value interval;

and carrying out nonlinear transformation on the transparency values, generating normalized mixed weight coefficients, establishing a hierarchical data mixed operation buffer zone, writing each layer of data into the mixed operation buffer zone according to the size sequence of the mixed weight coefficients, carrying out weighted average calculation on the data in the mixed operation buffer zone, and outputting calculation results to a display buffer zone.

Further, the step of establishing a display strategy mapping table, selecting a corresponding visual template according to the type label, calculating a data timeliness score, and converting the timeliness score into a display refresh period, includes:

Constructing a visual strategy database, establishing a mapping relation between a data type identifier and a visual template, storing the mapping relation in a display strategy mapping table, reading the type marking information, searching a matching item in the display strategy mapping table, and obtaining corresponding visual template parameters;

Adding a time stamp field to each data item, calculating the difference between the current time and the time stamp of the data item, substituting the difference into a time-efficiency decay function, generating a data time-efficiency score, establishing a refresh period mapping function, inputting the time-efficiency score into the refresh period mapping function, and calculating a display refresh time interval.

Further, the updating the information state in the virtual space based on the display refresh period, performing smoothing processing on the information state, and synchronously displaying the processed result to the virtual space interface, including:

Constructing a display state update queue, setting the display refresh period as a state update trigger condition, reading latest data when the trigger condition is detected to be met, writing the latest data into a virtual space information buffer area, calculating a state difference value of adjacent data items, and performing linear interpolation operation on the state difference value to generate a state transition sequence;

and executing average filtering operation on the state transition sequence, writing the filtered data into a display state buffer area, establishing a virtual space display controller, transmitting the data in the display state buffer area to the display controller, and synchronously outputting the data to a virtual space display interface by the display controller.

In a second aspect, the present application provides an information superimposing apparatus for intelligently sensing information in a virtual space, including:

The virtual mapping module is used for collecting image data, temperature data and sound data in a scene space, carrying out type labeling on the data, constructing a data priority evaluation model, calculating information integrity and relevance score of the data, generating an importance weight coefficient based on the integrity score and the relevance score, and establishing a virtual space coordinate mapping function by taking the importance weight coefficient as a data layering basis;

The information superposition module is used for carrying out layered slicing on the virtual space coordinate system, constructing a layered display buffer zone, calculating display parameters of each layer according to the importance weight coefficient, distributing data with the greatest importance weight coefficient to the top layer display buffer zone, calculating the edge definition score of each layer of data, setting a fuzzy radius parameter based on the edge definition score, carrying out fuzzy processing on non-top layer data, constructing an interlayer contrast enhancement matrix, regulating the display parameters by utilizing the interlayer contrast enhancement matrix, setting an interlayer minimum interval threshold value, adding layered marking bits in the display buffer zone, mapping the layered marking bits into transparency control parameters, generating a mixed weight coefficient based on the transparency control parameters, and carrying out superposition processing on different layers of data by adopting the mixed weight coefficient;

And the visualization module is used for establishing a display strategy mapping table, selecting a corresponding visualization template according to the type label, calculating a data timeliness score, converting the timeliness score into a display refresh period, updating the information state in the virtual space based on the display refresh period, executing smoothing processing on the information state, and synchronously displaying the processed result to the virtual space interface.

In a third aspect, the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the information superposition method of intelligent perception information in a virtual space when the processor executes the program.

In a fourth aspect, the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method for information superposition of intelligent awareness information in a virtual space.

In a fifth aspect, the present application provides a computer program product comprising computer programs/instructions which, when executed by a processor, implement the steps of the method for information superposition of intelligent awareness information in a virtual space.

According to the technical scheme, the information superposition method for intelligent perception information in the virtual space is provided, and a data layering mechanism based on importance weights is established by evaluating the information integrity and association degree of multi-source data such as images, temperatures, sounds and the like. Layered display buffer areas are adopted to realize layered management of information, and interlayer visual effects are optimized by combining edge definition evaluation and fuzzy processing technology. The intelligent superposition of the multi-layer data is realized through contrast enhancement and transparency control, and the display refreshing strategy is dynamically adjusted based on the timeliness of the data. The method effectively solves the problems of chaotic display and visual interference when the traditional superposition scheme processes multidimensional sensing information, and improves the information display quality in the virtual space.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic flow chart of an information superposition method of intelligent perception information in a virtual space according to an embodiment of the present application;

FIG. 2 is a second flow chart of an information superposition method of intelligent perception information in a virtual space according to an embodiment of the present application;

FIG. 3 is a third flow chart of an information superposition method of intelligent perception information in a virtual space according to an embodiment of the present application;

FIG. 4 is a flow chart of a method for superimposing information of intelligent perception information in a virtual space according to an embodiment of the present application;

FIG. 5 is a flowchart of an information superposition method of intelligent perception information in a virtual space according to an embodiment of the present application;

FIG. 6 is a flowchart illustrating a method for superimposing information of intelligent perception information in a virtual space according to an embodiment of the present application;

FIG. 7 is a flow chart of a method for superimposing information of intelligent perception information in a virtual space according to an embodiment of the present application;

FIG. 8 is a block diagram of an information superimposing apparatus for intelligent perception information in a virtual space according to an embodiment of the present application;

Fig. 9 is a schematic structural diagram of an electronic device in an embodiment of the application.

Reference numerals:

an electronic device 9600, a central processor 9100, a memory 9140, a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, a power supply 9170, a buffer memory 9141, an application/function storage portion 9142, a data storage portion 9143, a driver storage portion 9144, an antenna 9111, a speaker 9131, and a microphone 9132.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

The technical scheme of the application obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws and regulations.

In consideration of the problems existing in the prior art, the application provides an information superposition method of intelligent perception information in a virtual space, and a data layering mechanism based on importance weight is established by evaluating the information integrity and association degree of multi-source data such as images, temperatures, sounds and the like. Layered display buffer areas are adopted to realize layered management of information, and interlayer visual effects are optimized by combining edge definition evaluation and fuzzy processing technology. The intelligent superposition of the multi-layer data is realized through contrast enhancement and transparency control, and the display refreshing strategy is dynamically adjusted based on the timeliness of the data. The method effectively solves the problems of chaotic display and visual interference when the traditional superposition scheme processes multidimensional sensing information, and improves the information display quality in the virtual space.

In order to effectively solve the problems of chaotic display and visual interference when the traditional superposition scheme processes multidimensional sensing information and improve the information display quality in a virtual space, the application provides an embodiment of an information superposition method of intelligent sensing information in the virtual space, and referring to fig. 1, the information superposition method of intelligent sensing information in the virtual space specifically comprises the following contents:

S101, collecting image data, temperature data and sound data in a scene space, carrying out type labeling on the data, constructing a data priority evaluation model, calculating information integrity and relevance score of the data, generating an importance weight coefficient based on the integrity score and the relevance score, and establishing a virtual space coordinate mapping function by taking the importance weight coefficient as a data layering basis;

Optionally, the embodiment constructs an omnibearing multisource sensor network system in an industrial production workshop. The method comprises the steps of arranging high-definition camera arrays around key equipment at uniform intervals, collecting RGB image data with high frame rate, monitoring the running state of the equipment and the operation behavior of workers in real time, arranging an infrared thermal imager in a high-temperature area of the equipment, continuously collecting temperature field data, monitoring the temperature distribution condition of the equipment, arranging acoustic sensor arrays around the equipment, and collecting environmental noise and the running acoustic characteristics of the equipment. And data acquired by all sensors are transmitted to the central processing unit in real time through the industrial Ethernet, so that the real-time performance and reliability of the data are ensured.

The embodiment designs an intelligent data type labeling flow. Firstly, extracting key feature points and outline features from image data, analyzing spatial distribution features and temperature change trends from temperature data, and performing frequency domain analysis on acoustic data to obtain frequency spectrum features. And then inputting the extracted feature vectors into a pre-trained deep learning classification network, wherein the network adopts a multi-layer convolution structure and a full connection layer, and intelligent recognition and labeling of the data types are realized through deep learning.

The present embodiment innovatively builds a data priority assessment model. The model adopts an improved cyclic neural network structure and comprises a feature coding module and a priority evaluation module. The feature coding module can effectively capture time sequence features and space features of the data, and the priority evaluation module calculates the importance degree of the data through the multi-layer neural network. The model is trained through large-scale historical data, network parameters are optimized continuously, and evaluation accuracy is improved.

The present embodiment exploits a complete data integrity assessment scheme. The quality level of the data is comprehensively evaluated by analyzing three dimensions of sampling density, signal-to-noise ratio and continuity of the data. The sampling density reflects the sufficiency of the data in the spatial distribution, the signal-to-noise ratio characterizes the reliability degree of the data, and the continuity index measures the integrity of the data in the time dimension. And obtaining the integrity score of the data by weighting and combining the indexes.

The embodiment realizes an innovative association degree evaluation mechanism. By constructing a correlation network between data items, the time sequence correlation, the space correlation and the logic dependency relationship between the data items are analyzed. And processing the correlation matrix by adopting a graph neural network, fully mining deep correlation characteristics among data items, and generating an accurate correlation degree score. The method can effectively identify complex association modes among data and provide important basis for subsequent data processing.

The embodiment designs an adaptive importance weight calculation method. Firstly, carrying out standardization processing on the integrity score and the association score, and then dynamically adjusting the weight proportion of the two scores according to the requirements of different application scenes. For example, in the equipment fault diagnosis scene, the weight of the relevance score is improved to better reflect the fault propagation characteristics, and in the equipment state monitoring scene, the weight of the integrity score is properly improved to ensure the quality of the monitored data.

The present embodiment employs a hierarchical data organization strategy. And determining an optimal hierarchical division scheme through cluster analysis based on the importance weights obtained through calculation. By optimizing the inter-layer threshold, it is ensured that data at different levels has significant differences in importance while maintaining the relative uniformity of the data within the layers. This hierarchical organization provides a clear data structure for subsequent virtual space displays.

The embodiment realizes a high-precision coordinate mapping algorithm. By establishing the corresponding relation between the physical space and the virtual space, the accurate conversion of the coordinate system is realized. And carrying out surface fitting on the sampling points by adopting an interpolation algorithm to generate a continuous mapping function, so as to ensure that the data positions in the virtual space are consistent with the actual scene. The scheme remarkably improves the spatial accuracy of virtual display.

By means of the technical implementation, the method and the device for processing the multi-source heterogeneous data in the industrial field effectively solve the processing problem of the multi-source heterogeneous data in the industrial field, remarkably improve the data processing efficiency and accuracy, provide reliable technical support for information superposition of the virtual space, and achieve good effects in practical application.

Step S102, carrying out layered slicing on the virtual space coordinate system, constructing a layered display buffer zone, calculating each layer of display parameters according to the importance weight coefficient, distributing data with the greatest importance weight coefficient to a top layer display buffer zone, calculating the edge definition score of each layer of data, setting a fuzzy radius parameter based on the edge definition score, carrying out fuzzy processing on non-top layer data, constructing an interlayer contrast enhancement matrix, regulating the display parameters by using the interlayer contrast enhancement matrix, setting an interlayer minimum interval threshold, adding layered marking bits in the display buffer zone, mapping the layered marking bits into transparency control parameters, generating a mixed weight coefficient based on the transparency control parameters, and carrying out superposition processing on different layers of data by adopting the mixed weight coefficient;

optionally, the embodiment first performs a refinement hierarchical slicing process on the virtual space coordinate system. And determining the optimal slice quantity and slice thickness by adopting a self-adaptive slicing algorithm according to the distribution characteristics and service requirements of the spatial data. In industrial field applications, the space is typically divided into 3-5 major levels, each level corresponding to a different degree of business importance, such as a device core component layer, an operating state monitoring layer, an environmental parameter layer, and the like. And in the slicing process, the spatial continuity of data is considered, and the transition smoothness of interlayer information is ensured.

The present embodiment innovatively builds a hierarchical display buffer architecture. And (3) distributing independent display buffer space for each slice level, and adopting a double-buffer mechanism to ensure the fluency of data updating and display processes. The size of the buffer zone is dynamically adjusted according to the data quantity and the updating frequency, so that the waste of memory resources is avoided. In industrial field application, larger buffer space is configured for the level where key information such as equipment fault early warning is located, and display response speed is improved.

The present embodiment develops a display parameter calculation method based on importance weights. And dynamically distributing display resources for each layer by analyzing importance weight coefficients of the data, wherein the display resources comprise parameters such as resolution, refresh rate, color depth and the like. The data with higher importance weight is preferentially distributed to the top display buffer area, so that clear presentation of key information is ensured. For example, device abnormal state data having a higher importance weight will be placed on top of and employ the highest display quality parameters.

The embodiment realizes an intelligent edge definition evaluation mechanism. The edge feature significance of the data is assessed by computing image gradients and local variances. For each layer of data, an edge detection operator is constructed to calculate an edge sharpness score that reflects the visual clarity of the data. Based on the definition score, the radius parameters of Gaussian blur are adaptively set, and blur processing with different degrees is performed on non-top-layer data, so that layering is created.

This embodiment devised an innovative interlayer contrast enhancement strategy. By constructing a contrast enhancement matrix, the brightness and color differences between adjacent levels are analyzed, and display parameters are dynamically adjusted to enhance inter-layer visual differentiation. In industrial field application, the strategy is particularly beneficial to highlighting the difference between equipment fault information and normal running states, and improves the recognition efficiency of abnormal states.

The present embodiment establishes a strict inter-layer spacing control mechanism. By setting the minimum interval threshold, proper visual distance between different layers is ensured, and information mixing is avoided. In the virtual space, the arrangement of the interlayer interval considers the human eye perception characteristic and the actual application requirement, thereby ensuring the definition of hierarchical distinction and not affecting the consistency of the whole information.

The present embodiment achieves an accurate transparency control scheme. And adding a layering marking bit in the display buffer area, and establishing a mapping relation between the marking bit and the transparency parameter. By dynamically adjusting the marking bits, accurate control of the hierarchical transparency is achieved. In this way the important information layer has a high opacity, while the secondary information layer exhibits a semitransparent effect, resulting in a well-defined visual effect.

The present embodiment develops an adaptive data superimposition processing algorithm. And generating a mixing weight coefficient based on the transparency control parameter, and performing superposition processing on data of different levels in a weighted mixing mode. The algorithm considers the importance, visual definition and hierarchical relation of the data, ensures that the superimposed display effect not only maintains the integrity of information, but also highlights the display effect of important data.

Through the technical implementation, the method and the device effectively solve the problem of multi-level data display in the virtual space, remarkably improve the definition and layering of information display, and provide visual and efficient visual support for monitoring and decision making of an industrial field. The scheme has good display effect and stability in practical application, and is approved by field operators.

And step 103, a display strategy mapping table is established, a corresponding visual template is selected according to the type label, a data timeliness score is calculated, the timeliness score is converted into a display refresh period, the information state in the virtual space is updated based on the display refresh period, smoothing processing is carried out on the information state, and the processed result is synchronously displayed on the virtual space interface.

Optionally, in this embodiment, a comprehensive display policy mapping table is first established, and corresponding display policies are formulated for different types of data in the industrial field. The mapping table contains key information such as data types, display templates, updating strategies and the like, for example, an instrument panel type display template is adopted for equipment operation parameters, a thermodynamic diagram display template is adopted for temperature distribution data, and a waveform diagram display template is adopted for vibration data. The establishment of the mapping relation ensures that the display modes of different types of data not only accord with the data characteristics, but also are convenient for operators to understand and use.

In this embodiment, the most suitable visualization template is intelligently selected according to the type label of the data. The most appropriate display mode is matched from the template library by analyzing the time characteristics, the space characteristics and the service attributes of the data. For example, a three-dimensional thermodynamic diagram template is selected for device temperature data having spatially distributed features, a real-time waveform display template is selected for device vibration data having strong timing, and a status indicator template is selected for discrete device status data.

The present embodiment innovatively develops a data timeliness evaluation mechanism. And comprehensively evaluating the timeliness score of the data by calculating the difference value between the data generation time and the current time and combining the business importance degree of the data. The evaluation process considers factors such as the update frequency requirement of the data, the service response time requirement and the like. For example, the equipment failure early warning information has higher timeliness requirements, and the timeliness score calculation is more strict.

The embodiment realizes the intelligent conversion from the timeliness score to the display refresh cycle. And dynamically adjusting the display refresh period according to different intervals of the timeliness score. For data with high timeliness requirements, such as real-time running states of equipment, a shorter refresh period is adopted, and for data with slow change, such as environmental parameters, a longer refresh period is adopted. The differentiated refreshing strategy not only ensures the timely updating of key information, but also avoids the waste of system resources.

The embodiment designs a dynamic update mechanism of the virtual space information state. Based on the calculated display refresh period, various information in the virtual space is updated at regular time. The update process adopts a double-buffer technology, so that the fluency of the display process is ensured. For important data needing real-time response, such as equipment alarm information, an interrupt type updating mechanism is realized, and timely display of the information is ensured.

The present embodiment develops a smoothing algorithm for information states. And smoothing by adopting a moving average and interpolation technology aiming at possible jump phenomena in the data updating process. For example, gradual transition effect is adopted for abrupt change of equipment parameters to avoid display jump feeling, and a spatial interpolation algorithm is adopted for change of a temperature field to ensure display continuity. The smooth processing ensures the authenticity of the data and improves the visual experience of the display effect.

The embodiment realizes a synchronous display mechanism of the virtual space interface. By establishing the mapping relation between the display buffer area and the virtual space interface, the processed data can be ensured to be accurately synchronized to the display interface. And in the display process, a view synchronization technology is adopted, so that the consistency of information display under multiple visual angles is ensured. The synchronization mechanism provides a stable and reliable information display effect for operators.

Through the technical implementation, the visual display problem of the complex data in the industrial field is effectively solved, the intuitiveness and instantaneity of information display are obviously improved, and clear and timely data support is provided for field operators. The scheme shows good display effect and running stability in practical application, and effectively improves the monitoring and management efficiency of the industrial field.

From the above description, the information superposition method of intelligent perception information in a virtual space provided by the embodiment of the application can establish a data layering mechanism based on importance weight by evaluating the information integrity and association degree of multi-source data such as images, temperatures, sounds and the like. Layered display buffer areas are adopted to realize layered management of information, and interlayer visual effects are optimized by combining edge definition evaluation and fuzzy processing technology. The intelligent superposition of the multi-layer data is realized through contrast enhancement and transparency control, and the display refreshing strategy is dynamically adjusted based on the timeliness of the data. The method effectively solves the problems of chaotic display and visual interference when the traditional superposition scheme processes multidimensional sensing information, and improves the information display quality in the virtual space.

In an embodiment of the information superposition method of intelligent perception information in a virtual space according to the present application, referring to fig. 2, the method may further specifically include the following:

Step S201, three-dimensional image data, temperature field data and sound field data are collected in a scene space, the data are uniformly stored in a buffer queue, data items are read from the buffer queue, the distribution characteristics of the data items are extracted, a data type characteristic library is established, the distribution characteristics are matched with the data type characteristic library, and a type identifier is added to the data items;

Step S202, converting the data item into a vector representation form, constructing a neural network evaluation model based on the vector representation form, calculating a data redundancy coefficient and a space association coefficient for the data item, mapping the data redundancy coefficient into an information integrity score, and mapping the space association coefficient into an association score.

Optionally, the embodiment first implements data acquisition by deploying a multi-modal sensor network in an industrial scene space. The method comprises the steps of arranging a high-resolution industrial camera array to collect three-dimensional image data of equipment, dynamically adjusting the collection frequency according to the motion characteristics of the equipment, installing a thermal infrared imager array to collect temperature field data, enabling the spatial distribution of the thermal infrared imager to ensure that the temperature field of key equipment parts is free from blind area coverage, deploying an acoustic sensor array to collect sound field data, and optimizing the positions of the sensors through sound field simulation to obtain the optimal acoustic feature capturing effect.

The embodiment realizes unified storage management of heterogeneous data by designing a hierarchical buffer queue structure. The buffer queue adopts a three-layer architecture, wherein the first layer is an original data buffer area and is stored in a partitioning mode according to data types, the second layer is a preprocessing data buffer area and is used for storing data subjected to noise reduction and calibration, and the third layer is a characteristic data buffer area and is used for storing extracted characteristic vectors. And maintaining data association relations among layers through a bidirectional linked list, and ensuring continuity and traceability of data processing.

The present embodiment innovatively develops a multimodal data feature extraction algorithm. The method comprises the steps of extracting SIFT feature points and depth information from three-dimensional image data to construct three-dimensional outline features of equipment, calculating a temperature gradient matrix and hot spot distribution features from temperature field data to identify a temperature abnormal region, carrying out time-frequency analysis on sound field data to extract spectrogram features, and capturing acoustic features of equipment operation. All features take into account time series correlation to form a dynamic feature description.

The embodiment establishes an adaptive data type feature library. The feature library adopts a hierarchical structure and comprises a normal operation feature template, a typical fault feature template and an environment interference feature template of the equipment. The feature library is continuously updated through an online learning mechanism, and when a new feature mode is detected, the feature library is automatically added into the feature library after verification, so that the accuracy and the adaptability of feature matching are improved.

The embodiment realizes a data vectorization representation method based on deep learning. The encoder-decoder network architecture is designed to map multi-modal data to a unified feature space. The encoding process preserves the physical properties and spatio-temporal correlation of the data, ensuring the integrity of the vector representation. For example, the vectorization process of temperature field data preserves the spatial continuity of the temperature distribution, and the vectorization process of sound field data preserves the temporal nature of the spectral features.

The embodiment builds an innovative neural network evaluation model. The model adopts a multi-branch structure, and comprises a redundancy evaluation branch and a relevance evaluation branch. The redundancy evaluation branch calculates the information redundancy degree by comparing the similarity of the data item and the historical data, and the relevance evaluation branch calculates the relevance strength by analyzing the spatial relevance of the data item and the peripheral data. The outputs of the two branches are weighted and fused to generate a final evaluation result.

The present embodiment exploits an adaptive scoring mapping mechanism. And converting the redundancy coefficient into an information integrity score and converting the association coefficient into an association score by establishing a nonlinear mapping function. The mapping process takes into account the business importance of the data, and adopts stricter scoring criteria for the key device data. For example, the integrity of the main bearing temperature data requires higher than normal components, and the mapping function adjusts the slope accordingly to improve differentiation.

Through the implementation of the technology, the method and the device effectively solve the problems of acquisition, feature extraction and evaluation of multi-source heterogeneous data in an industrial field. The scheme remarkably improves the accuracy and the real-time performance of data processing, and provides reliable data support for industrial equipment state monitoring and fault diagnosis. In practical application, the scheme shows excellent adaptability and expandability, and can rapidly respond to the processing requirements of different types of data.

In an embodiment of the information superposition method of intelligent perception information in a virtual space according to the present application, referring to fig. 3, the method may further specifically include the following:

Step 301, normalizing the integrity score and the relevance score, constructing a linear combination model, inputting the integrity score and the relevance score into the linear combination model, calculating the comprehensive score of the data item, generating an importance weight coefficient based on the comprehensive score, and using the importance weight coefficient to prioritize the data item and divide the sequencing result into a plurality of levels;

Step S302, a three-dimensional coordinate transformation matrix is established, data position information in a scene space coordinate system is converted into virtual space coordinate values, a uniform grid is constructed in the virtual space, position deviation of grid nodes is calculated, a coordinate interpolation function is constructed based on the position deviation, and the coordinate interpolation function is used as a virtual space coordinate mapping function.

Optionally, the embodiment first performs an adaptive normalization process on the integrity score and the association score. And a dynamic maximum and minimum value normalization method is adopted, and normalization parameters are updated periodically, so that the normalization process can adapt to dynamic changes of data distribution. Aiming at the data characteristics in different industrial scenes, a segmentation normalization strategy is designed, finer normalization interval division is adopted for key equipment data, and grading discrimination is improved.

The present embodiment innovatively designs a linear combination model with weight adaptation. The model introduces a dynamic weight adjustment mechanism, and automatically adjusts the weight coefficients of the integrity score and the association score according to the running state of the equipment and the monitoring requirement. For example, when the equipment is in a fault early warning state, the weight of the relevance score is increased to strengthen the relevance analysis among the data, and when the performance of the equipment is evaluated, the weight of the integrity score is increased to ensure the quality of the evaluated data.

The embodiment adopts a cumulative probability distribution method to generate the importance weight coefficient. And mapping the scoring value into a weight coefficient by constructing a probability distribution function of the data comprehensive scoring. The mapping process considers the business value of the data and sets differentiated mapping curves for different types of data. For example, a steep mapping curve is adopted for monitoring data of the core component of the equipment to obtain a higher weight coefficient, and a gentle mapping curve is adopted for environmental parameter data.

The present embodiment implements a multi-level prioritization mechanism. Based on the importance weight coefficient, an improved rapid ordering algorithm is adopted for data ordering. And introducing timeliness factors in the sorting process, and providing preferential treatment for data with high real-time requirements. The sorting result is divided into a plurality of layers according to actual application requirements, such as an emergency treatment layer, a focus attention layer, a conventional monitoring layer and the like, so that subsequent grading treatment is facilitated.

This embodiment develops a three-dimensional coordinate transformation scheme with high accuracy. And constructing a complete transformation matrix containing the rotation matrix, the translation vector and the scaling factor, and realizing accurate mapping from the scene space to the virtual space. The transformation parameters are solved through a least square optimization method, and the transformation accuracy is ensured. Aiming at a complex space structure of large-scale equipment, a block transformation strategy is introduced, and the mapping accuracy of local details is improved.

The embodiment designs a self-adaptive grid dividing method. And constructing a non-uniform grid of the octree structure in the virtual space, wherein the grid density is dynamically adjusted according to the data distribution characteristics. Finer grid division is adopted at key parts of the equipment and the data-intensive area, so that the accuracy of spatial expression is improved. The grid structure supports dynamic refinement and merging, and is suitable for space expression requirements of different scales.

The present embodiment innovatively develops a grid node position deviation compensation algorithm. And (3) establishing a local coordinate correction model by analyzing the deviation between the actual mapping position and the ideal grid position. The bias compensation process takes into account spatial continuity constraints, ensuring smooth transitions of adjacent regions. And for the region with larger deformation, adopting an iterative optimization method to gradually reduce the position deviation.

The embodiment realizes an accurate coordinate interpolation mechanism. And constructing a three-dimensional spatial interpolation function based on the radial basis function, and realizing coordinate mapping of any point. The interpolation process adopts a local weighting strategy, the distance attenuation effect is considered, and the smoothness and continuity of the interpolation result are ensured. In order to improve the calculation efficiency, a rapid multipole expansion method is adopted to accelerate interpolation calculation.

Through the implementation of the technology, the method and the device effectively solve the problems of evaluation grading and space mapping of industrial field data. The scheme has excellent adaptability and reliability in practical application, remarkably improves the data processing efficiency and the space display effect, and provides powerful support for visual monitoring of industrial equipment. Particularly, under a complex industrial environment, the scheme can accurately reflect the spatial relationship of equipment and effectively support the application of equipment state monitoring, fault diagnosis and the like.

In an embodiment of the information superposition method of intelligent perception information in a virtual space according to the present application, referring to fig. 4, the method may further specifically include the following:

Step S401, a slice interval threshold value is set in the virtual space coordinate system, space levels are divided based on the slice interval threshold value, depth values of each layer of slices are calculated, quantization processing is carried out on the depth values, the quantized depth values are stored in a depth buffer zone, an independent display buffer zone is allocated for each layer of slices, and an interlayer data index table is established;

step S402, reading the importance weight coefficient, constructing a display parameter calculation model, inputting the importance weight coefficient into the display parameter calculation model, generating a display scale coefficient and a position offset of each slice, screening a data set with the maximum importance weight coefficient, and distributing the data set to a display buffer area corresponding to a top slice.

Optionally, the present embodiment first sets a reasonable slice spacing threshold based on spatial features of the industrial scene. By analyzing the spatial distribution of the equipment and the density distribution of the monitoring data, a self-adaptive interval setting method is adopted. In the device dense region, smaller slice spacing is selected to provide finer spatial layering, and in the device sparse region, slice spacing is increased appropriately to optimize display. For example, for a monitoring scenario of a large mechanical device, the slice pitch of the core area may be set smaller, while the peripheral area may employ a larger pitch.

This embodiment innovatively develops a multi-level spatial partitioning algorithm. Based on the slice interval threshold, a top-down recursion layering method is adopted to ensure the spatial coverage uniformity of each layer of slices. In the layering process, the geometric characteristics of the equipment and the spatial distribution of the monitoring points are considered, the number of the layers is dynamically adjusted, and the situation that data are excessively concentrated or excessively sparse is avoided.

The embodiment realizes an efficient depth value calculation and quantization processing mechanism. Normalized depth values are calculated for each slice plane, using a non-linear quantization strategy, using finer quantization levels in the region of interest. The quantization process takes the human eye perception characteristics into consideration, and provides more accurate depth expression in the visual key areas. The quantized depth value is stored in a depth buffer area through compression coding, so that the storage efficiency is improved.

The present embodiment designs a hierarchical display buffer management architecture. And an independent display buffer area is configured for each slice, and the smoothness of the display process is ensured by adopting a double-buffer mechanism. The buffer size is dynamically adjusted according to the slice data amount, supporting real-time data update. Meanwhile, a rapid exchange and synchronization mechanism of buffer data is realized, and coordinated display of multiple layers of data is ensured.

This embodiment exploits an efficient inter-layer data indexing mechanism. And constructing a hierarchical index table, and recording the spatial association relationship and the data corresponding relationship among the slices. The index table adopts a hash structure, and supports rapid data positioning and retrieval. Linkage updating and interactive operation of cross-layer data are realized by maintaining the relevance of the interlayer data.

The present embodiment innovatively designs a display parameter calculation model based on the importance of data. The model adopts a multi-factor fusion calculation method, combines the importance weight coefficient with the space position information, and generates the display control parameters of each slice. The calculation of the display scale coefficient considers the business importance degree of the data, the important data obtains a larger display proportion, and the calculation of the position offset considers the rationality of the space layout, thereby avoiding the visual occlusion of the important data.

The embodiment realizes an intelligent data distribution strategy. The key data set is identified by analyzing the distribution characteristics of the importance weight coefficients. And a priority queue management mode is adopted, so that important data is ensured to be preferentially distributed to the top slice, and the display effect is improved. And the spatial balance is considered in the data distribution process, so that the data is prevented from being excessively concentrated in a certain area.

The present embodiment exploits a dynamic display parameter adjustment mechanism. And adjusting display parameters in real time according to the interactive operation and the display requirements of the user. For example, when a user focuses on a certain area, the display proportion and definition of the area slice are automatically adjusted, and when abnormal data are detected, the relevant area is highlighted to provide visual cues.

Through the realization of the technology, the embodiment effectively solves the problem of multi-level visual display of industrial monitoring data. The scheme shows excellent display effect and interactive experience in practical application, can clearly display equipment state and abnormal information, and provides visual support for monitoring and management of industrial equipment. Particularly in a complex industrial environment, the scheme can effectively highlight key information and support rapid state evaluation and decision analysis.

In an embodiment of the information superposition method of intelligent perception information in a virtual space according to the present application, referring to fig. 5, the method may further specifically include the following:

Step S501, calculating brightness difference values of adjacent level data, constructing a contrast adjustment coefficient matrix, performing matrix multiplication operation on the contrast adjustment coefficient matrix and the display parameters, setting an interlayer minimum distance value, adjusting a level interval based on the minimum distance value, adding a level identification field in a data structure of the display buffer area, and mapping the level identification field to a transparency numerical value interval;

Step S502, carrying out nonlinear transformation on the transparency values, generating normalized mixed weight coefficients, establishing a hierarchical data mixed operation buffer zone, writing each layer of data into the mixed operation buffer zone according to the size sequence of the mixed weight coefficients, carrying out weighted average calculation on the data in the mixed operation buffer zone, and outputting calculation results to a display buffer zone.

Optionally, in this embodiment, an adaptive interlayer contrast adjustment mechanism is developed for display characteristics of industrial field monitoring data. The interlayer luminance difference value is calculated by analyzing the luminance distribution characteristics of the adjacent level data. And a sliding window method is adopted to carry out statistical analysis on the brightness difference of the local area, so as to ensure the local adaptability of contrast adjustment. For example, in the equipment failure area, abnormal information is highlighted by increasing brightness contrast, and in the normal operation area, moderate contrast is maintained to provide a pleasant visual effect.

The present embodiment innovatively designs the contrast adjustment coefficient matrix. Each element of the matrix corresponds to a contrast adjustment parameter of a local area, and the importance degree and the spatial position relation of the data are considered. And fusing the adjusting coefficient and the display parameter through matrix multiplication operation to realize accurate contrast control. And smooth constraint is introduced in the adjusting process, so that gradual transition between adjacent areas is ensured.

The embodiment realizes an intelligent hierarchical interval adjustment mechanism. And optimizing the hierarchical layout by adopting a dynamic programming method based on the set minimum distance value. In the data-dense region, more display details are provided by fine hierarchical division, and in the data-sparse region, hierarchical spacing is appropriately increased to optimize space utilization. The hierarchy adjustment process considers the spatial continuity of the data, avoiding the appearance of display faults.

This embodiment exploits an efficient hierarchical identity management scheme. And adding a hierarchy identification field in the data structure of the display buffer area, and improving the storage efficiency by adopting a bitmap coding mode. The identification field and the transparency value establish a mapping relation, and the mapping function considers human eye perception characteristics and provides finer transparency control at an important level.

The present embodiment designs an innovative transparency nonlinear transformation algorithm. Based on the visual perception model, the linear transparency values are converted into a nonlinear perception space, providing a more natural hierarchical transition effect. In the transformation process, the importance degree of the data is considered, steeper transformation curves are adopted for key information, and visual expressive force is enhanced.

The embodiment realizes an efficient mixed weight calculation mechanism. The transparency values are converted into mixed weight coefficients by normalization processing. The weight calculation takes the time characteristic and the space characteristic of the data into consideration, and the recent data and the data of important positions obtain larger weights. The weight distribution process introduces an adaptive adjustment mechanism, and dynamically optimizes weight distribution according to the display effect.

This embodiment innovatively exploits a hierarchical data mix operation buffer. And a multi-level cache structure is adopted to support the rapid reading, writing and updating of data. The organization mode of the buffer areas is based on weight sorting, and important data priority processing is ensured. By maintaining the dependency of the data, an efficient incremental update mechanism is achieved.

The embodiment realizes an accurate weighted average calculation method. And carrying out hierarchical weighting processing on the buffer data based on the mixed weight coefficient. The calculation process adopts a parallel optimization strategy, so that the calculation efficiency is improved. And gamma correction is carried out when the result is output, so that the accuracy of the display effect is ensured. To process large-scale data, a block computing mechanism is introduced to support the streaming processing of the data.

Through the implementation of the technology, the multi-level fusion display problem of the industrial monitoring data is effectively solved. The scheme has excellent display effect and operation efficiency in practical application, can clearly display data relations of different levels, and provides visual support for state monitoring of industrial equipment. Particularly in a complex industrial environment, the scheme can effectively process display conflict of multi-layer data, provide smooth interaction experience, and support operators to quickly identify and process abnormal conditions.

In an embodiment of the information superposition method of intelligent perception information in a virtual space according to the present application, referring to fig. 6, the method may further specifically include the following:

Step S601, constructing a visual strategy database, establishing a mapping relation between a data type identifier and a visual template, storing the mapping relation in a display strategy mapping table, reading the type marking information, searching a matching item in the display strategy mapping table, and obtaining corresponding visual template parameters;

step S602, adding a time stamp field for each data item, calculating the difference value between the current time and the time stamp of the data item, substituting the difference value into a time-lapse function, generating a data time-lapse score, establishing a refresh period mapping function, inputting the time-lapse score into the refresh period mapping function, and calculating a display refresh time interval.

Optionally, this embodiment develops an intelligent visualization policy management mechanism for the data visualization requirements of the industrial monitoring scenario. By constructing a visualization strategy database, display schemes of different types of data are systematically managed. The database adopts a layered architecture, comprises a basic display template, a combined display rule and an interaction control strategy, and supports flexible strategy expansion and updating.

The embodiment creatively realizes an intelligent mapping mechanism of the data types and the visual templates. Aiming at different types of monitoring data such as temperature, pressure, vibration and the like, a corresponding specialized display template is designed. For example, the temperature data is displayed in a thermodynamic diagram mode, the pressure data is represented by a contour line, and the vibration data is displayed by a waveform diagram. The mapping relation is maintained through a display strategy mapping table, and the query efficiency is improved through a multi-level index structure.

The present embodiment exploits an efficient type-tagging information handling mechanism. Through semantic analysis technology, the type characteristics and service attributes of the data are accurately identified. The labeling information contains the contents such as the physical meaning, the measuring unit, the display priority and the like of the data, and provides basis for selecting a proper display template. When processing the composite type data, a multi-template combination mode is adopted, so that a richer display effect is provided.

The embodiment realizes the functions of intelligent matching and optimizing of the template parameters. And dynamically adjusting template parameters based on the statistical characteristics and the display requirements of the data. For example, the display scale is adjusted according to the fluctuation range of the data, the animation effect is adjusted according to the update frequency of the data, and the rationality and intuitiveness of the display effect are ensured.

The present embodiment contemplates an innovative timestamp management mechanism. And adding high-precision time stamps for all the monitoring data, and adopting a unified time reference to ensure the time sequence consistency of the data. The format design of the time stamp considers the special requirements of the industrial field, supports the time precision of millisecond level, and is convenient for tracking the rapidly-changed process parameters.

This embodiment developed an advanced timeliness assessment method. And (3) evaluating the timeliness of the data by calculating the real-time difference value of the data and adopting a nonlinear decay function. The characteristics of different types of data are considered in the design of the decay function, and stricter timeliness requirements are adopted for key process parameters. For example, the device safety-related parameters employ a rapid decay curve, while the environmental parameters may use a more gradual decay characteristic.

The embodiment realizes an intelligent display refresh management mechanism. The timeliness score is converted into a reasonable display update interval by establishing a refresh cycle mapping function. The mapping function adopts a segmented design, provides higher refreshing frequency when the data is changed rapidly, properly reduces the refreshing frequency when the data is stable, and optimizes the use of system resources.

This embodiment innovatively develops an adaptive refresh control strategy. The refresh policy is dynamically adjusted based on the importance and change characteristics of the data. For abnormal data or key process parameters, a more frequent refresh mechanism is adopted, and for auxiliary information, a lower refresh frequency is adopted. By means of the differentiated refreshing strategy, real-time performance of important information is guaranteed, and waste of system resources is avoided.

Through the technical implementation, the intelligent visualization problem of the industrial monitoring data is effectively solved. The scheme shows excellent display effect and operation efficiency in practical application, and can automatically select a proper display mode according to the data characteristics, thereby providing visual and timely information display for operators. Particularly in a complex industrial environment, the scheme can effectively process the display requirements of different types of data, support rapid state evaluation and decision analysis, and improve the monitoring efficiency of industrial production.

In an embodiment of the information superposition method for intelligent perception information in a virtual space according to the present application, referring to fig. 7, the method may further specifically include the following:

step S701, constructing a display state update queue, setting the display refresh period as a state update trigger condition, reading latest data when the trigger condition is detected to be met, writing the latest data into a virtual space information buffer area, calculating a state difference value of adjacent data items, and performing linear interpolation operation on the state difference value to generate a state transition sequence;

And step 702, performing mean filtering operation on the state transition sequence, writing the filtered data into a display state buffer area, establishing a virtual space display controller, transmitting the data in the display state buffer area to the display controller, and synchronously outputting the data to a virtual space display interface by the display controller.

Optionally, this embodiment develops an efficient display state management mechanism for dynamic display requirements of the industrial virtual space. By constructing the display state update queue, the ordered control of data update is realized. The queue adopts a priority management strategy to ensure that important state changes can be processed preferentially, and meanwhile, congestion of data update is avoided through a caching mechanism.

This embodiment innovatively designs a refresh cycle based trigger mechanism. The display refresh period is used as a trigger condition for state update, and the update time sequence is accurately controlled by a timer. The judgment of the triggering condition considers the importance degree and the change rate of the data, adopts a shorter refreshing period for the state of the key equipment, and ensures the timeliness of state display.

The embodiment realizes an efficient virtual space data caching strategy. And establishing a multi-level cache structure of the data through the virtual space information buffer area. The buffer area design considers the characteristics of the industrial field and supports the rapid access of the state data of the large-scale equipment. For example, for parameters requiring high real-time performance such as temperature and pressure, a special cache region is used.

This embodiment develops an accurate state difference analysis method. By calculating the state difference value of adjacent data items, the change characteristics of the state of the device are accurately captured. The difference calculation process considers the characteristics of different types of data, such as numerical difference calculation for continuous quantity, and state code comparison for discrete state, so as to ensure the accuracy of difference analysis.

The embodiment realizes an innovative state transition processing mechanism. And generating a smooth state transition sequence through linear interpolation operation. The interpolation algorithm considers the physical characteristics of the data and ensures that the state change accords with the actual rule. For example, the parameter change in the equipment start-stop process adopts a specific interpolation curve to reflect the actual transitional characteristic.

The present embodiment designs an advanced signal filtering processing scheme. And the average filtering operation is carried out on the state transition sequence, so that data noise and interference are effectively suppressed. Parameters of the filtering algorithm are dynamically adjusted according to data characteristics, and display stability is ensured while quick response capability of signals is maintained.

The present embodiment exploits a specialized display state buffer management mechanism. By displaying the status buffer, smooth transmission of data is realized. The design of the buffer area adopts a double-buffer structure, supports asynchronous updating of data, and avoids flickering and jitter in the display process.

The embodiment realizes an efficient virtual space display control mechanism. By establishing the virtual space display controller, the transmission and synchronization of display data are uniformly managed. The controller adopts an event-driven mode to dynamically adjust the display strategy according to the data updating condition. For example, when data changes rapidly, the smoothness of the display is maintained by adjusting rendering parameters.

The present embodiment innovatively develops a display synchronization mechanism. And the consistency of the virtual space interface display is ensured by precisely controlling the transmission time sequence of the data. The synchronization process considers the characteristics of different display terminals and supports the consistent display of multi-terminal data.

By the aid of the technology, the real-time display problem of the equipment state in the industrial virtual space is effectively solved. The scheme shows excellent display effect and running performance in practical application, can smoothly display the dynamic change process of the equipment state, and provides visual monitoring experience for operators. Particularly in a complex industrial environment, the scheme can effectively process the status updating display of a large number of equipment, support operators to quickly find and respond to abnormal conditions, and improve the monitoring efficiency of industrial production.

In order to effectively solve the problems of chaotic display and visual interference when the traditional superposition scheme processes multidimensional sensing information and improve the information display quality in a virtual space, the application provides an embodiment of an information superposition device of intelligent sensing information in the virtual space for realizing all or part of the content of the information superposition method of the intelligent sensing information in the virtual space, and referring to fig. 8, the information superposition device of the intelligent sensing information in the virtual space specifically comprises the following contents:

The virtual mapping module 10 is used for collecting image data, temperature data and sound data in a scene space, carrying out type labeling on the data, constructing a data priority evaluation model, calculating information integrity and relevance score of the data, generating an importance weight coefficient based on the integrity score and the relevance score, and establishing a virtual space coordinate mapping function by taking the importance weight coefficient as a data layering basis;

The information superimposing module 20 is configured to slice the virtual space coordinate system hierarchically, construct a hierarchical display buffer, calculate each layer of display parameters according to the importance weight coefficient, distribute data with the greatest importance weight coefficient to the top layer display buffer, calculate an edge definition score of each layer of data, set a blur radius parameter based on the edge definition score, perform blur processing on non-top layer data, construct an interlayer contrast enhancement matrix, adjust the display parameters by using the interlayer contrast enhancement matrix, set an interlayer minimum interval threshold, add a hierarchical marker bit in the display buffer, map the hierarchical marker bit to a transparency control parameter, generate a mixed weight coefficient based on the transparency control parameter, and perform superimposition processing on different layers of data by using the mixed weight coefficient;

The visualization module 30 is configured to establish a display policy mapping table, select a corresponding visualization template according to the type label, calculate a data timeliness score, convert the timeliness score into a display refresh period, update an information state in the virtual space based on the display refresh period, perform smoothing processing on the information state, and synchronously display the processed result to the virtual space interface.

From the above description, the information superposition device for intelligent perception information in a virtual space provided by the embodiment of the application can establish a data layering mechanism based on importance weight by evaluating the information integrity and association degree of multi-source data such as images, temperatures, sounds and the like. Layered display buffer areas are adopted to realize layered management of information, and interlayer visual effects are optimized by combining edge definition evaluation and fuzzy processing technology. The intelligent superposition of the multi-layer data is realized through contrast enhancement and transparency control, and the display refreshing strategy is dynamically adjusted based on the timeliness of the data. The method effectively solves the problems of chaotic display and visual interference when the traditional superposition scheme processes multidimensional sensing information, and improves the information display quality in the virtual space.

In order to effectively solve the problems of chaotic display and visual interference when the traditional superposition scheme processes multidimensional sensing information and improve the information display quality in a virtual space, the application provides an embodiment of an electronic device for realizing all or part of contents in an information superposition method of intelligent sensing information in the virtual space, wherein the electronic device specifically comprises the following contents:

The system comprises a processor (processor), a memory (Communications Interface), a communication interface (Communications Interface) and a bus, wherein the processor, the memory and the communication interface are used for completing communication among each other through the bus, the communication interface is used for realizing information transmission between an information superposition device of intelligent perception information in a virtual space and related equipment such as a core service system, a user terminal and a related database, and the logic controller can be a desktop computer, a tablet computer, a mobile terminal and the like. In this embodiment, the logic controller may refer to an embodiment of the information superposition method of the intelligent sensing information in the virtual space and an embodiment of the information superposition device of the intelligent sensing information in the virtual space, and the contents thereof are incorporated herein, and the repetition is omitted.

It is understood that the user terminal may include a smart phone, a tablet electronic device, a network set top box, a portable computer, a desktop computer, a Personal Digital Assistant (PDA), a vehicle-mounted device, a smart wearable device, etc. Wherein, intelligent wearing equipment can include intelligent glasses, intelligent wrist-watch, intelligent bracelet etc..

In practical application, part of the information superposition method of the intelligent perception information in the virtual space can be executed on the electronic device side as described in the above description, or all operations can be completed in the client device. Specifically, the selection may be made according to the processing capability of the client device, and restrictions of the use scenario of the user. The application is not limited in this regard. If all operations are performed in the client device, the client device may further include a processor.

The client device may have a communication module (i.e. a communication unit) and may be connected to a remote server in a communication manner, so as to implement data transmission with the server. The server may include a server on the side of the task scheduling center, and in other implementations may include a server of an intermediate platform, such as a server of a third party server platform having a communication link with the task scheduling center server. The server may include a single computer device, a server cluster formed by a plurality of servers, or a server structure of a distributed device.

Fig. 9 is a schematic block diagram of a system configuration of an electronic device 9600 according to an embodiment of the present application. As shown in fig. 9, the electronic device 9600 can include a central processor 9100 and a memory 9140, the memory 9140 being coupled to the central processor 9100. It is noted that this fig. 9 is exemplary, and that other types of structures may be used in addition to or in place of the structures to implement telecommunications functions or other functions.

In an embodiment, the information superposition method functionality of the intelligent awareness information in the virtual space may be integrated into the central processor 9100. The central processor 9100 may be configured to perform the following control:

As can be seen from the above description, the electronic device provided by the embodiment of the present application establishes a data layering mechanism based on importance weights by evaluating the information integrity and association degree of multi-source data such as images, temperatures, sounds, and the like. Layered display buffer areas are adopted to realize layered management of information, and interlayer visual effects are optimized by combining edge definition evaluation and fuzzy processing technology. The intelligent superposition of the multi-layer data is realized through contrast enhancement and transparency control, and the display refreshing strategy is dynamically adjusted based on the timeliness of the data. The method effectively solves the problems of chaotic display and visual interference when the traditional superposition scheme processes multidimensional sensing information, and improves the information display quality in the virtual space.

In another embodiment, the information superimposing apparatus of the intelligent sensing information in the virtual space may be configured separately from the central processor 9100, for example, the information superimposing apparatus of the intelligent sensing information in the virtual space may be configured as a chip connected to the central processor 9100, and the information superimposing method function of the intelligent sensing information in the virtual space is implemented by the control of the central processor.

As shown in fig. 9, the electronic device 9600 may further include a communication module 9110, an input unit 9120, an audio processor 9130, a display 9160, and a power supply 9170. It is noted that the electronic device 9600 does not necessarily include all the components shown in fig. 9, and furthermore, the electronic device 9600 may include components not shown in fig. 9, to which reference is made in the prior art.

As shown in fig. 9, the central processor 9100, sometimes referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, which central processor 9100 receives inputs and controls the operation of the various components of the electronic device 9600.

The memory 9140 may be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information about failure may be stored, and a program for executing the information may be stored. And the central processor 9100 can execute the program stored in the memory 9140 to realize information storage or processing, and the like.

The input unit 9120 provides input to the central processor 9100. The input unit 9120 is, for example, a key or a touch input device. The power supply 9170 is used to provide power to the electronic device 9600. The display 9160 is used for displaying display objects such as images and characters. The display may be, for example, but not limited to, an LCD display.

The memory 9140 may be a solid state memory such as Read Only Memory (ROM), random Access Memory (RAM), SIM card, etc. But also a memory which holds information even when powered down, can be selectively erased and provided with further data, an example of which is sometimes referred to as EPROM or the like. The memory 9140 may also be some other type of device. The memory 9140 includes a buffer memory 9141 (sometimes referred to as a buffer). The memory 9140 may include an application/function storage portion 9142, the application/function storage portion 9142 storing application programs and function programs or a flow for executing operations of the electronic device 9600 by the central processor 9100.

The memory 9140 may also include a data store 9143, the data store 9143 for storing data, such as contacts, digital data, pictures, sounds, and/or any other data used by an electronic device. The driver storage portion 9144 of the memory 9140 may include various drivers of the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging applications, address book applications, etc.).

The communication module 9110 is a transmitter/receiver that transmits and receives signals via the antenna 9111. The communication module 9110 (transmitter/receiver) is coupled to the central processor 9100 to provide input signals and receive output signals, as in the case of conventional mobile communication terminals.

Based on different communication technologies, a plurality of communication modules 9110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, etc., may be provided in the same electronic device. The communication module 9110 (transmitter/receiver) is also coupled to a speaker 9131 and a microphone 9132 via an audio processor 9130 to provide audio output via the speaker 9131 and to receive audio input from the microphone 9132 to implement usual telecommunications functions. The audio processor 9130 can include any suitable buffers, decoders, amplifiers and so forth. In addition, the audio processor 9130 is also coupled to the central processor 9100 so that sound can be recorded locally through the microphone 9132 and sound stored locally can be played through the speaker 9131.

An embodiment of the present application further provides a computer-readable storage medium capable of implementing all steps in the information superimposing method of the intelligent perception information of the server or the client as the execution subject in the above embodiment, the computer-readable storage medium storing thereon a computer program which, when executed by a processor, implements all steps in the information superimposing method of the intelligent perception information of the server or the client as the execution subject in the above embodiment, for example, the processor implements the following steps when executing the computer program:

As can be seen from the above description, the computer readable storage medium provided by the embodiments of the present application establishes a data layering mechanism based on importance weights by evaluating the information integrity and association of multi-source data such as images, temperatures, sounds, and the like. Layered display buffer areas are adopted to realize layered management of information, and interlayer visual effects are optimized by combining edge definition evaluation and fuzzy processing technology. The intelligent superposition of the multi-layer data is realized through contrast enhancement and transparency control, and the display refreshing strategy is dynamically adjusted based on the timeliness of the data. The method effectively solves the problems of chaotic display and visual interference when the traditional superposition scheme processes multidimensional sensing information, and improves the information display quality in the virtual space.

The embodiment of the present application further provides a computer program product capable of implementing all the steps in the information superposition method of intelligent perception information in a virtual space for a server or a client by an execution subject in the above embodiment, where the computer program/instructions implement the steps of the information superposition method of intelligent perception information in a virtual space when executed by a processor, for example, the computer program/instructions implement the steps of:

As can be seen from the above description, the computer program product provided by the embodiments of the present application establishes a data layering mechanism based on importance weights by evaluating the information integrity and association degree of multi-source data such as images, temperatures, sounds, and the like. Layered display buffer areas are adopted to realize layered management of information, and interlayer visual effects are optimized by combining edge definition evaluation and fuzzy processing technology. The intelligent superposition of the multi-layer data is realized through contrast enhancement and transparency control, and the display refreshing strategy is dynamically adjusted based on the timeliness of the data. The method effectively solves the problems of chaotic display and visual interference when the traditional superposition scheme processes multidimensional sensing information, and improves the information display quality in the virtual space.

It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While the principles and embodiments of the present invention have been described in detail in the foregoing application of the principles and embodiments of the present invention, the above examples are provided for the purpose of aiding in the understanding of the principles and concepts of the present invention and may be varied in many ways by those of ordinary skill in the art in light of the teachings of the present invention, and the above descriptions should not be construed as limiting the invention.

Claims

1. An information superposition method of intelligent perception information in a virtual space, which is characterized by comprising the following steps:

Collecting image data, temperature data and sound data in a scene space, carrying out type labeling on the data, constructing a data priority evaluation model, calculating information integrity and association degree score of the data, generating an importance weight coefficient based on the integrity score and the association degree score of the information integrity, and establishing a virtual space coordinate mapping function by taking the importance weight coefficient as a data layering basis;

2. The method for superimposing information of intelligent perception information in a virtual space according to claim 1, wherein the collecting image data, temperature data, sound data in a scene space, labeling the data by type, constructing a data priority evaluation model, and calculating information integrity and relevance scores of the data comprises:

3. The method for superimposing information of intelligent perception information in a virtual space according to claim 1, wherein generating an importance weight coefficient based on the integrity score and the association score, and establishing a virtual space coordinate mapping function by using the importance weight coefficient as a data layering basis comprises:

Establishing a three-dimensional coordinate transformation matrix, converting data position information in a scene space coordinate system into virtual space coordinate values, constructing a uniform grid in a virtual space, calculating position deviation of grid nodes of the uniform grid, constructing a coordinate interpolation function based on the position deviation, and taking the coordinate interpolation function as a virtual space coordinate mapping function.

4. The method for superimposing information of intelligent perception information in a virtual space according to claim 1, wherein slicing the virtual space coordinate system hierarchically, constructing a hierarchical display buffer, calculating each layer of display parameters according to the importance weight coefficient, and distributing data with the greatest importance weight coefficient to a top layer display buffer, comprises:

5. The method for superimposing information of intelligent perception information in a virtual space according to claim 1, wherein the constructing an interlayer contrast enhancement matrix, adjusting the display parameter by using the interlayer contrast enhancement matrix, setting an interlayer minimum interval threshold, adding a layering flag bit in the display buffer, mapping the layering flag bit into a transparency control parameter, generating a mixed weight coefficient based on the transparency control parameter, and superimposing different levels of data by using the mixed weight coefficient, includes:

6. The method for superimposing information of intelligent perception information in a virtual space according to claim 1, wherein the creating a display policy mapping table, selecting a corresponding visualization template according to the type label, calculating a data timeliness score, and converting the timeliness score into a display refresh period, includes:

7. The method for superimposing information of intelligent perception information in a virtual space according to claim 1, wherein updating the information state in the virtual space based on the display refresh period, performing smoothing processing on the information state, and synchronously displaying the processed result to the virtual space interface, comprises:

8. An information superimposing apparatus for intelligently sensing information in a virtual space, the apparatus comprising:

The virtual mapping module is used for collecting image data, temperature data and sound data in a scene space, carrying out type labeling on the data, constructing a data priority evaluation model, calculating information integrity and relevance score of the data, generating an importance weight coefficient based on the integrity score and the relevance score of the information integrity, and establishing a virtual space coordinate mapping function by taking the importance weight coefficient as a data layering basis;

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the information superposition method of the intelligent awareness information of any of claims 1 to 7 in a virtual space when executing the program.

10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the information superposition method of intelligent perception information in a virtual space according to any of claims 1 to 7.