CN118682317B - Remote electrical digital control system and method for high-speed intelligent laser cutting machine - Google Patents
Remote electrical digital control system and method for high-speed intelligent laser cutting machine Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K26/00—Working by laser beam, e.g. welding, cutting or boring
- B23K26/36—Removing material
- B23K26/38—Removing material by boring or cutting
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- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K26/00—Working by laser beam, e.g. welding, cutting or boring
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Abstract
本发明公开了高速智能激光切割机远程电气数字化控制系统及方法，涉及控制调节系统技术领域。包括构建历史数据库；获取高速智能激光切割机实时运行数据；构建检索方法，检索方法基于实时运行数据检索历史数据库内的历史运行数据。本发明通过设置工艺整合模型和参数矫正与优化模块，实现了对高速智能激光切割机运行参数的精确控制和优化，首先，工艺整合模型通过对实时运行数据的特征向量进行分析，结合历史数据库中的数据集，能够准确找到与当前运行状态相匹配的历史数据，为参数矫正提供了有力支持，使得在面对复杂多变的磁性材料的场景时，能够做到快速调节参数，提高了高速智能激光切割机使用时的灵活性。
The present invention discloses a remote electrical digital control system and method for a high-speed intelligent laser cutting machine, and relates to the technical field of control and adjustment systems. It includes constructing a historical database; obtaining real-time operation data of a high-speed intelligent laser cutting machine; and constructing a retrieval method, wherein the retrieval method retrieves historical operation data in a historical database based on real-time operation data. The present invention realizes precise control and optimization of the operating parameters of a high-speed intelligent laser cutting machine by setting a process integration model and a parameter correction and optimization module. First, the process integration model analyzes the characteristic vector of the real-time operation data, and combines the data set in the historical database to accurately find the historical data that matches the current operating status, which provides strong support for parameter correction, so that when facing complex and changeable magnetic material scenarios, the parameters can be adjusted quickly, thereby improving the flexibility of the high-speed intelligent laser cutting machine when in use.
Description
Technical Field
The invention relates to the technical field of control and regulation systems, in particular to a remote electrical digital control system and method for a high-speed intelligent laser cutting machine.
Background
The laser cutting machine is an efficient and accurate cutting tool, has an important role in the field of magnetic material preparation, and has wide application in the magnetic material preparation process, but is limited by a current control system, and the performance of the laser cutting machine still has a large improvement space, particularly in the aspects of remote operation and monitoring.
Through searching, the Chinese patent of publication No. CN112987629A discloses a remote electrical digital control system and method of a high-speed intelligent laser cutting machine, and the application corrects cutting control program parameters according to the received operation error of the laser cutting equipment; through the BP neural network system and the collaborative operation with the BP neural network system, the simulation learning is carried out, the statistics is carried out on errors existing in the current laser cutting machine, and the error compensation is carried out when the subsequent laser cutting machine equipment carries out the assembly of the cutting control program; analyzing and summarizing the error change rule of the current laser cutting machine to obtain the error change rule of the current laser cutting machine, and generating a maintenance plan and a fault early warning system of the laser cutting machine according to the error change rule of the current laser cutting machine, so as to achieve the aim of improving the machining precision, the running stability and the reliability of the laser cutting machine.
In addition, the chinese patent of publication No. CN115509166a discloses a "distributed remote control method and remote control system", where the application determines, by a crane, connection states with other remote consoles when the other remote consoles send connection requests based on remote control states of the remote consoles, the connection states including a connection permission state and a connection prohibition state, and the remote consoles establish connection with the crane in the connection permission state according to the connection states, so as to establish a distributed system in which any crane is controlled by a plurality of remote consoles.
Finally, the Chinese patent of the publication No. CN110174844A discloses a generalized order sliding mode prediction control method of a remote control system, and the application establishes a discretized remote control system model with variable time delay; constructing a generalized order sliding mode of a remote control system, and designing a sliding mode prediction model; the control performance index is selected, the complete controller design is given, the system closed loop is realized, in addition, in the actual use, generalized order calculus is added into the controller design process, the dynamic performance and steady-state precision of the closed loop system are improved, meanwhile, the influence of disturbance, parameter uncertainty and time delay uncertainty on the system stability is reduced, and the reliability and transparency of the remote control system are improved.
Since different materials and processes often require different laser cutting parameters in the preparation process of the magnetic material, the methods and systems disclosed in the above patent and similar patents have certain limitations in remote electrical digital intelligent parameter adjustment when facing complex and variable preparation processes of the magnetic material, because characteristics and process requirements of actual processed objects are not considered.
Disclosure of Invention
The invention aims to provide a remote electrical digital control system and a remote electrical digital control method for a high-speed intelligent laser cutting machine, so as to solve the problems in the background art.
In order to solve the above problems, the present invention proposes the following technical solutions: the remote electric digital control method of the high-speed intelligent laser cutting machine comprises the following steps:
Constructing a history database;
Acquiring real-time operation data of the high-speed intelligent laser cutting machine;
constructing a search method, wherein the search method searches historical operation data in a historical database based on the real-time operation data;
an error monitoring model is constructed, the error monitoring model identifies a deviation item in the operation process based on comparison of historical operation data and real-time operation data, the characteristics of the deviation item are obtained, and a characteristic mark is output and acts on a historical database;
Acquiring a data set marked based on the characteristics in a historical database;
Building a process identification integration model, wherein the process identification integration model is used for retrieving process characteristics in a data set, integrating and outputting parameter correction data based on network interconnection and an application scene of the high-speed intelligent laser cutting machine, and directly acting on the high-speed intelligent laser cutting machine;
constructing a verification unlocking model, wherein the verification unlocking model acts on the parameter correction data, limits the parameter correction data value and the characteristic attribute change, presets a threshold range of the verification unlocking model, sets unlocking grades based on the threshold range, and derives unlocking keys based on the number of grades based on the unlocking grades;
constructing an association protocol, inputting verification data to a verification unlocking model by the intelligent communication equipment based on the association protocol, retrieving the matching degree between the verification data and an unlocking key, and releasing unlocking level authorities in a threshold range based on the matching degree;
the process identification integration model comprises:
Based on a network interconnection preset process template library, the process template library comprises a plurality of standard process parameters and corresponding scene labels, scene data of the high-speed intelligent laser cutting machine are obtained, the scene data are matched with the corresponding scene labels in the process template library, a process parameter subset based on the scene labels is constructed, a process characteristic set in the data set is obtained, the process parameter subset and the process characteristic set are compared, an adjustment standard is created, and parameter correction data based on the adjustment standard is output.
As a further preferred aspect of the present invention, the adjustment criteria include: the deviation range which can be adjusted manually is preset, when the deviation value of the process parameter subset and the process feature set exceeds the deviation range which is adjusted manually, a parameter correction flow is automatically triggered, the parameter correction flow covers the parameters in the process parameter subset into the process feature set, and the parameter correction data are generated by regression of the data set.
As a further preferred aspect of the present invention, the search method includes:
extracting a feature vector of real-time operation data;
Constructing a character matching algorithm, searching matched data sets in a historical database by the character matching algorithm based on characters in the feature vector, constructing a screening standard, removing the acquired data sets based on the screening standard, and selecting the data sets meeting preset conditions as historical operation data.
As a further preferred embodiment of the present invention, the operation formula of the character matching algorithm is:
；
Wherein a represents a feature vector set of real-time running data, B represents a data set in a history database, a i is an ith feature vector in a, B j is a feature vector of a jth data set in B, sim (a i, bj) is a similarity calculation function between a i and B j, N is the total number of feature vectors in a, M is the total number of data sets in B, and S (a, B) represents the overall similarity between a and B;
where Sim (a i, bj) is the similarity calculation function between a i and b j as:
；
Wherein f (a i) and f (B j) are frequency vectors of characters a i and B j in character strings a and B;
integrating the similarity calculation function into an operation formula of the character matching algorithm to form an integrated formula:
；
wherein the numerator within the integrated formula represents the total number of character matching terms in the character matching algorithm, wherein the denominator within the integrated formula is a weighted sum of cosine similarities of all character pairs (a i,bj).
As a further preferred aspect of the present invention, the filtering criteria are dynamically adjusted based on the number of characters, and the filtering criteria reject all data sets other than the data sets satisfying all character features based on all character features.
As a further preferred aspect of the present invention, the error monitoring model includes:
Constructing a dynamic evaluation table based on the real-time operation data and the historical operation data, recording deviation item values of the real-time operation data and the historical operation data in a time point in the dynamic evaluation table, extracting the deviation item values and correlating the deviation item values with the time point in the dynamic evaluation table to form a deviation value time sequence;
Constructing a fluctuation graph based on the time sequence of the deviation value, wherein the fluctuation graph reflects the trend of the change of the deviation value along with time, analyzing the fluctuation graph, and identifying abnormal fluctuation points of the deviation value, wherein the abnormal fluctuation points correspond to abnormal moments in the operation of the high-speed intelligent laser cutting machine;
And extracting the characteristics of the abnormal fluctuation points as characteristic marks and outputting the characteristic marks.
As a further preferable aspect of the present invention, the verification unlocking model includes:
setting operation interfaces of different authority levels based on the unlocking level, wherein the operation interfaces comprise parameter adjustment, data viewing and equipment control;
the verification unlocking model receives verification data sent by intelligent communication equipment, wherein the verification data comprises equipment identification codes, user identity information and operation requests;
The verification unlocking model verifies the verification data, wherein the verification data comprises a comparison device identification code and user identity information, and judges whether an operation request meets the authority range of the current unlocking level;
If the verification data meets the conditions, unlocking the corresponding authority level, and sending confirmation information to the intelligent communication equipment, and allowing the intelligent communication equipment to execute corresponding operation;
and if the verification data does not meet the conditions, rejecting the operation request and sending reject information to the intelligent communication equipment.
As a further preferred aspect of the present invention, the association protocol includes:
And integrating a data transmission format between the intelligent communication equipment and the verification unlocking model based on a network communication protocol, defining a data structure of verification data, including an equipment identification code, user identity information and an operation request, setting identity authentication of the intelligent communication equipment, carrying out communication with the verification unlocking model based on identity authentication authorization, presetting a communication frequency and a response time range threshold between the intelligent communication equipment and the verification unlocking model, and selecting verification data within the range threshold for output.
In a second aspect, in order to perfect the technical scheme, the invention further provides: the remote electrical digital control system of the high-speed intelligent laser cutting machine adopts the technical scheme and comprises:
the data acquisition module is used for acquiring operation data from the high-speed intelligent laser cutting machine in real time;
The data storage and management module is used for establishing and maintaining a historical database and storing and managing the real-time operation data acquired from the data acquisition module and the historical data set subjected to the characteristic marking;
The data retrieval and analysis module is used for providing a retrieval method, retrieving relevant historical operation data from a historical database based on real-time operation data by using the retrieval method, and analyzing and identifying deviation items in the operation process by using an error monitoring model;
the parameter correction and optimization module is used for identifying process characteristics from the historical data set and matching with the current real-time data to output parameter correction data;
The verification and unlocking module is used for verifying the parameter correction data, limiting the change of the parameter correction data and the characteristic attribute, and ensuring that the unlocking authority is released only in a set threshold range;
The communication and control module is used for carrying out data exchange and control instruction transmission with the high-speed intelligent laser cutting machine and the intelligent communication equipment;
And the user interface module is used for monitoring the running state of the cutting machine in real time, checking the analysis result and adjusting the parameter correction setting.
Compared with the prior art, the invention has the beneficial effects that:
the process integration model analyzes the characteristic vector of real-time operation data, combines the data set in a history database, can accurately find the history data matched with the current operation state, provides powerful support for parameter correction, can quickly adjust parameters when facing complex and changeable magnetic material scenes, and improves the flexibility of the high-speed intelligent laser cutting machine when in use;
Secondly, the parameter correction and optimization module utilizes an error monitoring model to identify deviation items in the operation process, and selects proper process characteristics from a historical data set based on screening standards to correct parameters, so that the high-speed intelligent laser cutter can operate in a stable and efficient state;
Further, the safety and the stability of the system are enhanced through the arrangement of the verification and unlocking module, and the verification and unlocking module judges whether the operation request meets the authority range of the current unlocking level through verifying verification data sent by the intelligent communication equipment, so that the damage to the system caused by illegal operation is avoided;
Meanwhile, the communication and control module ensures smooth data exchange and control instruction transmission between the system and the high-speed intelligent laser cutting machine as well as between the system and the intelligent communication equipment, and improves the response speed and reliability of the system.
In addition, the invention provides an intuitive and convenient operation interface through the user interface module, so that a user can monitor the running state of the cutting machine in real time, check analysis results and adjust parameter correction settings, thereby improving user experience and enabling the system to be easier to operate and maintain.
Drawings
FIG. 1 is a logic diagram of the operation of the method of the present invention;
FIG. 2 is a logic diagram of the operation of the process identification integration model of the present invention;
FIG. 3 is a logic diagram of the operation of the error monitoring model of the present invention;
FIG. 4 is a logic diagram of the operation of the association protocol of the present invention;
fig. 5 is a block diagram of the system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
When facing to complex and changeable magnetic materials, the high-speed intelligent laser cutting machine has the characteristics of an actual processing object and the process requirements to change, so that the operation parameters of the high-speed intelligent laser cutting machine need to be adjusted and optimized in real time. Whether the temperature and humidity in the workshop or the external electromagnetic interference can have non-negligible influence on the operation stability and cutting precision of the high-speed intelligent laser cutting machine, therefore, in the design of the remote electric digital control system and method, the environmental factors must be fully considered, and corresponding measures are taken to prevent and compensate, for example, in the design process of the remote electric digital control system and method, a series of advanced technical means and strategies can be adopted to cope with the challenges brought by the environmental factors.
Firstly, temperature and humidity sensors can be integrated in the system for the influence of temperature and humidity, environmental conditions in a workshop are monitored in real time, and when the environmental conditions are detected to exceed a preset range, the control system automatically starts environmental conditioning equipment such as an air conditioner, a dehumidifier and the like to ensure that the working environment is always maintained in the optimal state of the operation of the laser cutting machine.
Secondly, for the problem of external electromagnetic interference, electromagnetic shielding technology and anti-interference circuit design can be adopted to reduce the influence of electromagnetic interference on a control system and a laser cutting machine, for example, in an electrical control system of a high-speed intelligent laser cutting machine, electromagnetic shielding materials can be introduced to protect key circuits and sensitive elements so as to reduce the radiation and absorption of electromagnetic waves, meanwhile, a circuit structure with strong anti-interference capability is designed, and the influence of electromagnetic interference on signal transmission and data processing is reduced by adopting technical means such as filtering, isolation and the like.
As shown in fig. 1 to 4, the present invention provides a technical solution: the remote electric digital control method of the high-speed intelligent laser cutting machine comprises the following steps: the method comprises the steps of constructing a historical database, acquiring real-time operation data of a high-speed intelligent laser cutting machine, constructing a retrieval method, retrieving the historical operation data in the historical database based on the real-time operation data, constructing an error monitoring model, identifying deviation items in the operation process based on comparison of the historical operation data and the real-time operation data, acquiring characteristics of the deviation items, outputting characteristic marks, enabling the characteristic marks to act on the historical database, acquiring a data set based on the characteristic marks in the historical database, constructing a process identification integration model, using the process identification integration model for retrieving process characteristics in the data set, and based on network interconnection and an application scene of the high-speed intelligent laser cutting machine, integrating output parameter correction data, directly acting on the high-speed intelligent laser cutting machine by the parameter correction data, constructing a verification unlocking model, verifying the unlocking model to act on the parameter correction data, limiting parameter correction data values and characteristic attribute change, verifying an unlocking model preset threshold range, setting an unlocking level based on the threshold range, deriving an unlocking key based on the number of levels, constructing an association protocol, and enabling intelligent communication equipment to input verification data to the verification model based on the association protocol, retrieving the verification data and unlocking key based on the release level matching threshold level.
It should be noted that, in the present application, the data stored in the history database includes: operating data of the high-speed intelligent laser cutting machine under different environmental conditions, such as operating parameters of the cutting machine when temperature and humidity change; data recording of the influence of electromagnetic interference on cutting precision and stability; and cutting process parameters for different magnetic materials, different thicknesses and different processing requirements.
In addition, in the application, the real-time operation data of the high-speed intelligent laser cutting machine is obtained by carrying out real-time monitoring and acquisition through various sensors installed on the high-speed intelligent laser cutting machine, wherein the sensors comprise, but are not limited to, a temperature sensor, a humidity sensor, an electromagnetic interference sensor, a position sensor, a speed sensor and the like, and can comprehensively capture various state parameters of the cutting machine in the operation process, such as temperature, humidity, electromagnetic interference intensity, cutting head position, cutting speed and the like, and the working state of the cutting machine can be accurately known through real-time acquisition of the data.
As a preferred embodiment, referring to fig. 2, in this embodiment, the process identification integrated model includes: based on a network interconnection preset process template library, the process template library comprises a plurality of standard process parameters and corresponding scene labels, scene data of the high-speed intelligent laser cutting machine are obtained, the scene data are matched with the corresponding scene labels in the process template library, a process parameter subset based on the scene labels is constructed, a process characteristic set in the data set is obtained, the process parameter subset and the process characteristic set are compared, an adjustment standard is created, and parameter correction data based on the adjustment standard is output.
It should be added that, in this embodiment, the standard process parameters and the corresponding scene tags included in the process template library include:
Scene tag "sheet fine cut": the standard technological parameters are that the laser power is 800W, the cutting speed is 1500mm/min, the focal length is 2.5mm, the cutting device is suitable for cutting metal plates with the thickness of 0.5-1mm, the cutting surface is smooth, and the edge is free from burrs.
Scene label "efficient cutting of thick plate": the standard technological parameters are that the laser power is 1500W, the cutting speed is 1000mm/min, the focal length is 3.5mm, the method is suitable for cutting metal plates with the thickness of 2-6mm, the cutting efficiency is optimized, and the cutting quality is guaranteed.
Scene label "high durometer material cut": the standard technological parameters are 2000W laser power, 800mm/min cutting speed and 4.0mm focal length, and the cutting speed is high enough for cutting high-hardness alloy materials.
It should be noted that the standard process parameters and the corresponding scene labels actually existing in the process template library are far more than the above mentioned ones, but cover various metal plates, non-metal plates and detailed process parameters under different processing requirements, and the rest standard process parameters and the corresponding scene labels of the applicant are not excessively described.
In this embodiment, the adjustment criteria include: the deviation range which can be adjusted manually is preset, when the deviation value of the process parameter subset and the process feature set exceeds the deviation range which is adjusted manually, a parameter correction flow is automatically triggered, the parameter correction flow covers the parameters in the process parameter subset into the process feature set, and the parameter correction data are generated by regression of the data set.
In a preferred embodiment, the search method includes: extracting feature vectors of real-time operation data, constructing a character matching algorithm, searching matched data sets in a historical database by the character matching algorithm based on characters in the feature vectors, constructing screening standards, eliminating the acquired data sets based on the screening standards, and selecting the data sets meeting preset conditions as historical operation data.
In this embodiment, the operation formula of the character matching algorithm is as follows:
；
Wherein a represents a feature vector set of real-time running data, B represents a data set in a history database, a i is an ith feature vector in a, B j is a feature vector of a jth data set in B, sim (a i, bj) is a similarity calculation function between a i and B j, N is the total number of feature vectors in a, M is the total number of data sets in B, and S (a, B) represents the overall similarity between a and B;
where Sim (a i, bj) is the similarity calculation function between a i and b j as:
；
Wherein f (a i) and f (B j) are frequency vectors of characters a i and B j in character strings a and B;
integrating the similarity calculation function into an operation formula of the character matching algorithm to form an integrated formula:
；
wherein the numerator within the integrated formula represents the total number of character matching terms in the character matching algorithm, wherein the denominator within the integrated formula is a weighted sum of cosine similarities of all character pairs (a i,bj).
It should be added that, the preprocessing of the data is the basis of successful operation of the character matching algorithm, and in practical application, the real-time operation data a and the data B in the history database may contain problems such as noise, inconsistent formats or missing values, so before the algorithm is executed, the data needs to be cleaned, converted and standardized to ensure that they meet the requirements of the algorithm.
Further, in addition to the present embodiment, in the present embodiment, the screening criteria are dynamically adjusted based on the number of characters, and the screening criteria reject all data sets other than the data sets satisfying all character features based on all character features.
As a preferred embodiment, referring to fig. 3, in the present embodiment, the error monitoring model includes: the method comprises the steps of constructing a dynamic evaluation table based on real-time operation data and historical operation data, recording deviation item values of the real-time operation data and the historical operation data in time points in the dynamic evaluation table, extracting the deviation item values and correlating the deviation item values with the time points in the dynamic evaluation table to form a deviation value time sequence, constructing a fluctuation graph based on the deviation value time sequence, analyzing the fluctuation graph to reflect the trend of the deviation value changing along with time, identifying abnormal fluctuation points of the deviation value, wherein the abnormal fluctuation points correspond to abnormal moments in the operation of the high-speed intelligent laser cutting machine, and extracting characteristics of the abnormal fluctuation points to serve as characteristic marks to be output.
It should be noted that, in the present embodiment, during actual operation, the operation data of the high-speed intelligent laser cutting machine are continuously collected and updated into the dynamic evaluation table, where the data includes the cutting speed, the power, the focal length and the material thickness, which together form a comprehensive evaluation system, and along with the lapse of the operation time, the data in the dynamic evaluation table is continuously enriched, so as to provide a more accurate reference basis for the error monitoring model.
In addition, in actual operation, on the basis of a dynamic evaluation table, the model can extract the deviation item values of all time points in real time, and correlate the values with the time points to form a continuous deviation value time sequence, the time sequence can intuitively reflect the change condition of all parameters of the high-speed intelligent laser cutting machine in the operation process, and then the model can construct a fluctuation graph according to the deviation value time sequence, wherein the fluctuation graph takes time as a horizontal axis and takes a deviation value as a vertical axis, and the trend of the deviation value changing along with time is shown in a curve form.
As a preferred embodiment, in the present embodiment, verifying the unlock model includes: the method comprises the steps that operation interfaces with different authority levels are set based on unlocking levels, the operation interfaces comprise parameter adjustment, data check and equipment control, a verification unlocking model receives verification data sent by intelligent communication equipment, the verification data comprise equipment identification codes, user identity information and operation requests, the verification unlocking model verifies the verification data and comprises the steps of comparing the equipment identification codes with the user identity information and judging whether the operation requests meet the authority range of the current unlocking level, if the verification data meet the conditions, the corresponding authority levels are unlocked, confirmation information is sent to the intelligent communication equipment, the intelligent communication equipment is allowed to execute corresponding operation, if the verification data do not meet the conditions, the operation requests are refused, the refused information is sent to the intelligent communication equipment, and meanwhile the information of the operation attempt is recorded.
It should be added that in this embodiment, the ability to adaptively learn and optimize can also be added to the verification unlock model at the time of actual operation, and whenever an operation request is processed, whether it is a successful unlock or a rejection operation, the model records detailed information of this operation attempt, including verification data, type of operation request, result, timestamp, etc., which will be used to analyze the user's operation habits, and evaluate the security and stability of the system, and specifically, the model will periodically analyze these records to identify potential security risks or changes in the user's operation mode.
As a preferred embodiment, referring to fig. 4, in this embodiment, the association protocol includes: and integrating a data transmission format between the intelligent communication equipment and the verification unlocking model based on a network communication protocol, defining a data structure of verification data, wherein the data structure comprises an equipment identification code, user identity information and an operation request, setting identity authentication of the intelligent communication equipment, carrying out communication with the verification unlocking model based on identity authentication authorization, presetting a communication frequency and response time range threshold between the intelligent communication equipment and the verification unlocking model, and selecting verification data within the range threshold for output.
It should be noted that, in this embodiment, the device identifier ensures the security and traceability of data through the unique identifier of the intelligent communication device, the user identity information is used to verify the legitimacy and authority level of the user, the operation request is a specific action or task that the user wants to verify the unlock model to execute, and it is necessary to supplement that identity authentication is used as a basis for secure communication, and multiple verification mechanisms, such as password, fingerprint, facial recognition, etc., are adopted to ensure that only authorized devices can communicate with the verify unlock model, which effectively prevents the risk of accessing unauthorized devices and data leakage.
In addition, in this embodiment, the setting of the threshold value of the communication frequency and the response time range is to ensure the communication efficiency and stability between the intelligent communication device and the verification unlocking model, and when the communication frequency is too high or the response time exceeds the threshold value, the system will automatically trigger an alarm and perform exception handling, so as to ensure the normal operation of the whole system.
It should be added that in this embodiment, in terms of output selection of verification data, the system selects verification data within a range threshold according to a preset algorithm and a preset policy, where the verification data is not only representative, but also can accurately reflect the state of the intelligent communication device and the operation intention of the user.
In addition, in this embodiment, the network communication protocol is a widely used TCP/IP protocol family in the prior art, which provides a stable and reliable basis for network communication, and in the data transmission process between the intelligent communication device and the verification unlocking model, the TCP/IP protocol family ensures the integrity, the sequence and the security of data.
Further, in order to improve the efficiency and security of data transmission, the present embodiment further introduces data compression and encryption techniques.
As a preferred embodiment, referring to fig. 5, the present invention provides a technical solution: the high-speed intelligent laser cutting machine remote electrical digital control system uses the high-speed intelligent laser cutting machine remote electrical digital control method and comprises the following steps: the system comprises a data acquisition module, a data storage and management module, a data retrieval and analysis module, a parameter correction and optimization module, a parameter correction data and unlocking module, a parameter correction and optimization module, a parameter correction and unlocking module, a parameter correction data and characteristic attribute verification module, a communication and control module and a user interface module, wherein the data acquisition module is used for acquiring operation data from a high-speed intelligent laser cutting machine in real time, the data storage and management module is used for establishing and maintaining a historical database, the data storage and management module is used for storing and managing the real-time operation data acquired from the data acquisition module and a characteristic marked historical data set, the data retrieval and analysis module is used for providing a retrieval method, retrieving related historical operation data from the historical database based on the real-time operation data by the retrieval method, analyzing and identifying deviation items in the operation process by an error monitoring model, the parameter correction and optimization module is used for identifying process characteristics from the historical data set and matching with the current real-time data, the parameter correction data is output, the parameter correction data is used for verifying the parameter correction data, the parameter correction data is used for limiting the parameter correction data and characteristic attribute change, unlocking permission is ensured to be released only within a set threshold range, and the communication and the parameter correction command is transmitted by the communication module is used for carrying out with the high-speed intelligent laser cutting machine.
In this embodiment, the data acquisition module is a sensor group in the prior art, and the sensors can capture various operation parameters of the high-speed intelligent laser cutting machine, such as focal length, material thickness, laser power, cutting speed, and the like, and the sensors are connected with the data acquisition module in a wired or wireless manner, so that the real-time performance and accuracy of the data are ensured.
In addition, in the embodiment, the data retrieval and analysis module, the parameter correction and optimization module, the verification and unlocking module and the communication and control module are all computer processors in the prior art, and are the core parts of a remote electrical digital control system of the high-speed intelligent laser cutting machine.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made hereto without departing from the spirit and scope of the invention as defined by the appended embodiments and equivalents thereof.
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