CN119573891A

CN119573891A - Method, device and processor for testing mountain fire heat radiation distribution

Info

Publication number: CN119573891A
Application number: CN202411790161.5A
Authority: CN
Inventors: 欧阳亿; 冯涛; 张华玉
Original assignee: Hunan Disaster Prevention Technology Co ltd; State Grid Corp of China SGCC; State Grid Hunan Electric Power Co Ltd; Disaster Prevention and Mitigation Center of State Grid Hunan Electric Power Co Ltd
Current assignee: Hunan Disaster Prevention Technology Co ltd; State Grid Corp of China SGCC; State Grid Hunan Electric Power Co Ltd; Disaster Prevention and Mitigation Center of State Grid Hunan Electric Power Co Ltd
Priority date: 2023-12-08
Filing date: 2024-12-06
Publication date: 2025-03-07

Abstract

The application discloses a method, a device and a processor for mountain fire heat radiation distribution test, and belongs to the technical field of remote sensing application. The method comprises the steps of obtaining satellite observation data, air observation data and ground observation data of mountain fire heat radiation conditions of a mountain fire occurrence area, carrying out fusion processing on the satellite observation data, the air observation data and the ground observation data according to a preset data fusion algorithm to obtain fused data, and determining a mountain fire heat radiation detection result of the mountain fire occurrence area according to the fused data. According to the application, the heat radiation detection result of the mountain fire occurrence area can be determined by fusing the multi-source data, the heat radiation distribution is covered on the whole, the accuracy of the detection result is improved, and the actual influence condition of the mountain fire heat radiation is clearer and more definite.

Description

Method, device and processor for mountain fire heat radiation distribution test

Technical Field

The application relates to the technical field of remote sensing application, in particular to a method, a device and a processor for mountain fire heat radiation distribution test.

Background

The frequent occurrence of mountain fires in China is 7 ten thousand years, which brings serious threat to the ecological environment and human society. The mountain fire heat radiation is one of main manifestations of mountain fire, and has important significance for fire source identification, fire scene diffusion simulation, emergency decision and the like. However, the conventional mountain fire heat radiation test method has a series of problems such as data limitation in comprehensiveness and accuracy, the conventional method mainly depends on limited ground observation data, has low spatial resolution, is difficult to cover a large-range mountain fire area comprehensively, causes omission and inaccuracy of heat radiation distribution, has mismatched spatial dimensions, can not meet the high-precision requirement of local areas and cannot accurately capture fine changes of mountain fire heat radiation although satellite remote sensing can provide a global view angle, and has insufficient comprehensiveness, and the method for comprehensively considering satellite, air and ground multi-source data is lacking, so that the test result cannot comprehensively and accurately reflect the actual distribution situation of heat radiation.

Disclosure of Invention

The embodiment of the application aims to provide a method, a device, a processor and a machine-readable storage medium for testing mountain fire heat radiation distribution, which are used for solving the problem that a test result in the prior art cannot comprehensively and accurately reflect the actual distribution situation of heat radiation.

To achieve the above object, a first aspect of the present application provides a method for mountain fire heat radiation distribution test, including:

Acquiring satellite observation data, air observation data and ground observation data of mountain fire heat radiation conditions in a mountain fire occurrence area;

according to a preset data fusion algorithm, carrying out fusion processing on satellite observation data, air observation data and ground observation data to obtain fused data;

and determining a mountain fire heat radiation detection result of the mountain fire occurrence area according to the fused data.

In the embodiment of the application, the mountain fire heat radiation detection result comprises a heat radiation spatial distribution diagram of a mountain fire occurrence area, and the mountain fire heat radiation detection result of the mountain fire occurrence area is determined according to the fused data.

The method further comprises the steps of obtaining the actual observation temperature of the mountain fire occurrence area, determining feedback information according to the actual observation temperature and the thermal radiation spatial distribution map, and optimizing a spatial difference algorithm according to the feedback information.

The mountain fire thermal radiation detection results comprise thermal radiation atmospheric attenuation curves of mountain fire occurrence areas, the mountain fire thermal radiation detection results comprise weather data of the mountain fire occurrence areas, atmospheric transparency and temperature at different heights and different distances are determined according to weather data based on a preset atmospheric model, thermal radiation transmission results in the atmosphere are determined according to the atmospheric transparency and temperature at different heights and different distances based on a preset radiation transmission model, and the thermal radiation atmospheric attenuation curves are generated according to the thermal radiation transmission results and the fused data.

In the embodiment of the application, satellite observation data comprises the ground surface brightness and the heat radiation intensity of a mountain fire occurrence area, and the acquisition of the satellite observation data of the mountain fire heat radiation condition of the mountain fire occurrence area comprises the steps of acquiring satellite remote sensing data, preprocessing the satellite remote sensing data to obtain processed data, wherein the preprocessing comprises atmospheric correction, radiation correction and/or geographical correction, converting the radiation value of a preset infrared wave band in the processed data into the ground surface brightness temperature based on a preset radiation calculation model, and according to the ground surface brightness Wen Queding heat radiation intensity.

In the embodiment of the application, ground observation data is acquired through ground observation equipment, and the ground observation equipment comprises a thermometer, a thermal imager and a multispectral infrared camera.

In the embodiment of the application, the air observation data are collected through an air observation device, and an infrared sensor and a heat radiometer are mounted on the air observation device.

A second aspect of an embodiment of the present application provides a processor configured to perform the above-described method for mountain fire heat radiation distribution testing.

A third aspect of the embodiments of the present application provides an apparatus for mountain fire heat radiation distribution testing, the apparatus comprising:

The data acquisition module is used for acquiring satellite observation data, air observation data and ground observation data of mountain fire heat radiation conditions of a mountain fire occurrence area;

The data fusion module is used for carrying out fusion processing on satellite observation data, air observation data and ground observation data according to a preset data fusion algorithm so as to obtain fused data;

and the data determining module is used for determining a mountain fire heat radiation detection result of the mountain fire occurrence area according to the fused data.

A fourth aspect of an embodiment of the present application provides a machine-readable storage medium having stored thereon instructions for causing a machine to perform the above-described method for mountain fire heat radiation distribution testing.

According to the technical scheme, satellite observation data, air observation data and ground observation data of the mountain fire heat radiation condition of a mountain fire occurrence area are obtained, then fusion processing is carried out on the satellite observation data, the air observation data and the ground observation data according to a preset data fusion algorithm, so that fused data are obtained, and finally a mountain fire heat radiation detection result of the mountain fire occurrence area is determined according to the fused data. According to the application, the heat radiation detection result of the mountain fire occurrence area can be determined by fusing the multi-source data, the heat radiation distribution is covered on the whole, the accuracy of the detection result is improved, and the actual influence condition of the mountain fire heat radiation is clearer and more definite.

Additional features and advantages of embodiments of the application will be set forth in the detailed description which follows.

Drawings

The accompanying drawings are included to provide a further understanding of embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain, without limitation, the embodiments of the application. In the drawings:

FIG. 1 is a flow chart of a method for mountain fire heat radiation distribution testing according to an embodiment of the present application;

FIG. 2 is a spatial distribution diagram of mountain fire heat radiation provided by the embodiment of the application;

fig. 3 is a schematic structural diagram of a device for testing distribution of heat radiation of mountain fire according to an embodiment of the present application.

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 should be understood that the detailed description described herein is merely for illustrating and explaining the embodiments of the present application, and is not intended to limit the 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.

It should be noted that, if directional indications (such as up, down, left, right, front, and rear are referred to in the embodiments of the present application), the directional indications are merely used to explain the relative positional relationship, movement conditions, and the like between the components in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indications are correspondingly changed.

In addition, if there is a description of "first", "second", etc. in the embodiments of the present application, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present application.

Fig. 1 is a flowchart of a method for mountain fire heat radiation distribution test according to an embodiment of the present application. As shown in fig. 1, an embodiment of the present application provides a method for mountain fire heat radiation distribution test, which may include the steps of:

step S101, acquiring satellite observation data, aerial observation data and ground observation data of mountain fire heat radiation conditions in a mountain fire occurrence area.

Step S102, according to a preset data fusion algorithm, fusion processing is carried out on satellite observation data, air observation data and ground observation data so as to obtain fused data.

And step S103, determining a mountain fire heat radiation detection result of the mountain fire occurrence area according to the fused data.

In the embodiment of the application, satellite observation data such as the ground surface bright temperature, the thermal radiation intensity and the like of a mountain fire area can be obtained by utilizing a satellite remote sensing technology. The air observation device is equipped with the infrared sensor, the heat radiometer and other equipment, and is used for carrying out air observation on the forest fire heat radiation to obtain finer and local control observation data. And arranging ground observation equipment in the mountain fire occurrence area to capture the heat radiation condition on the ground and acquire ground observation data of an observation result, a surrounding temperature field and a radiation energy field which are closer to an actual fire source.

Further, the multisource observation data is subjected to fusion processing to form a unified and accurate data set. Prior to fusion, preprocessing of the source data, including data cleansing, format conversion, calibration, etc., is required to ensure consistency and accuracy of the data. And selecting a proper data fusion algorithm, such as weighted average, kalman filtering, bayesian network and the like, and fusing the multi-source data. In the fusion process, factors such as weight, correlation and the like of data are required to be considered so as to ensure the accuracy and reliability of a fusion result. Preferably, quality control and consistency check are performed on the fused data to ensure accuracy and integrity of the data.

And finally, generating a mountain fire heat radiation detection result by using the fused data, wherein the mountain fire heat radiation detection result comprises key information such as heat radiation intensity, distribution range and the like. And (3) carrying out deep analysis on the fused data, and extracting key characteristics of mountain fire heat radiation, such as heat radiation intensity, distribution range, change trend and the like. And generating a mountain fire heat radiation detection result including a heat radiation distribution diagram, a heat radiation intensity curve and the like according to the analysis result. The results can provide scientific basis for mountain fire early warning, emergency response and post-disaster evaluation.

After the fused data is obtained, a thermal radiation spatial distribution map is generated by using a spatial difference algorithm. Spatial difference algorithms are a common data processing technique that can estimate the value of an unknown data point from the known data point to generate a continuous spatial distribution map. After the spatial difference algorithm is applied, distribution diagrams of heat radiation in a satellite layer, an air layer and a ground layer can be generated. These profiles show the distribution of the heat radiation at different heights, respectively. The satellite layer profile provides wide area coverage but may be limited by resolution. The sky layer profile provides higher resolution data that captures fine variations in the source of the fire. The ground layer distribution map provides the observation result closest to the actual fire source, and has important significance for knowing the intensity of the fire source and the distribution of the surrounding temperature field.

Therefore, the embodiment provides powerful support for mountain fire monitoring and emergency response by fusing multisource observation data and generating a thermal radiation spatial distribution map by utilizing a spatial difference algorithm. The method not only improves the accuracy and reliability of mountain fire monitoring, but also provides a basis for scientific decision for related departments.

In order to verify the accuracy and reliability of the thermal radiation spatial distribution map, it is necessary to acquire the actual observed temperature of the mountain fire occurrence region. These observations may come from ground observation stations, temperature sensors onboard the drone, or other reliable temperature measurement devices. The actual observation temperature provides the actual temperature information of the scene of the fire and is an important basis for evaluating the accuracy of the thermal radiation spatial distribution diagram. After the actual observation temperature is obtained, it is required to compare and analyze it with the thermal radiation spatial distribution map. The purpose of this step is to find the differences and deviations between the thermal radiation spatial distribution map and the actual observed temperature. By means of a comparative analysis it can be determined which areas have an overestimated or underestimated heat radiation intensity and which areas have a heat radiation distribution which does not correspond to the actual one. This information will be summarized as feedback information for guiding the subsequent optimization of the spatial difference algorithm.

Further, the spatial difference algorithm may be optimized based on the feedback information. The optimization aims to improve the accuracy and the robustness of the algorithm, so that the heat radiation distribution situation of the mountain fire occurrence area can be reflected more accurately. The optimization process may include adjusting algorithm parameters, improving interpolation methods, or introducing new data preprocessing steps, etc. Through continuous iteration and optimization, the difference between the thermal radiation spatial distribution map and the actual observation temperature can be gradually reduced, and the accuracy and the reliability of mountain fire monitoring are improved.

In summary, the embodiment of the application optimizes the spatial difference algorithm by introducing the actual observation temperature and feedback information. The method not only improves the accuracy of the thermal radiation spatial distribution diagram, but also provides more reliable scientific basis for mountain fire monitoring and emergency response. The efficiency and accuracy of mountain fire monitoring can be further improved through continuous optimization algorithm, and timely and accurate information support is provided for related departments.

It is understood that meteorological conditions (e.g., temperature, humidity, wind speed, wind direction, etc.) have a significant impact on the spread of forest fires, the spread of thermal radiation, and the transparency of the atmosphere. The preset atmosphere model is a mathematical model describing the change of atmosphere conditions (such as temperature, pressure, density, composition, etc.) with altitude. In one example, the meteorological data may be acquired by a variety of means, such as ground observation stations, satellite telemetry, radar detection, and the like.

Specifically, according to meteorological data and a preset atmosphere model, the transparency and the temperature of the atmosphere at different heights and different distances can be calculated. The transparency of the atmosphere reflects the absorption and scattering capabilities of the atmosphere for radiation, while the temperature affects the emission and absorption of radiation. The radiation transport model describes the interaction process of radiation with atmospheric components (such as water vapor, carbon dioxide, dust, etc.) as it propagates through the atmosphere. By inputting parameters such as the transparency and the temperature of the atmosphere, the radiation transmission model can calculate the transmission path and attenuation condition of the radiation in the atmosphere, the radiation intensity reaching the ground, and the like. Further, by combining the heat radiation transmission result and the fused data, a heat radiation atmospheric attenuation curve can be generated, wherein the curve describes the attenuation condition of heat radiation generated by mountain fires in the atmosphere at different heights and different distances.

In summary, the embodiment of the application finally generates the heat radiation atmospheric attenuation curve describing the heat radiation characteristics of the mountain fire occurrence area by acquiring meteorological data, calculating by utilizing a preset atmospheric model and a radiation transmission model and combining the fused data. This result is of great importance in assessing the severity of mountain fires, predicting the tendency of fire to spread, and developing effective fire extinguishing strategies.

It will be appreciated that satellite telemetry data typically includes thermal radiation information in a plurality of bands. To ensure accuracy of the data, the satellite remote sensing data needs to be preprocessed, where the preprocessing includes atmospheric correction, radiation correction, and/or geographic correction. Wherein the atmospheric correction is used to eliminate the effect of the atmosphere on the radiation data. The atmospheric water vapor, carbon dioxide and other components absorb and scatter radiation, resulting in a difference in the observed radiation value from the actual radiation value emitted by the earth's surface. Atmospheric correction aims to correct this discrepancy. The radiation correction is used to convert the radiation values observed by the satellites into actual radiation values at the earth's surface. This typically involves converting the observed radiation values to absolute radiation values (e.g., watts per square meter per stokes), and taking into account the response characteristics of the satellite sensor. The georectification is used to correspond the data observed by the satellites to their geographic locations. As satellites orbit, the observed data may require geometric transformations to ensure that they match the actual location of the earth's surface.

Further, the radiation value of a specific infrared band in the processed satellite remote sensing data is converted into the surface brightness temperature based on a preset radiation calculation model, wherein the preset radiation calculation model can be a variant of the Planck law. The surface bright temperature is the equivalent blackbody temperature corresponding to the radiation intensity of the surface on a specific wave band. After the surface bright temperature is obtained, the heat radiation intensity of the surface can be further determined by utilizing a heat radiation theory, such as the Stefan-Boltzmann law. Thermal radiation intensity describes the radiant energy emitted per unit area of the earth's surface.

In summary, the embodiment of the application successfully acquires satellite observation data of mountain fire heat radiation conditions in a mountain fire occurrence area through a series of steps of acquiring satellite remote sensing data, preprocessing, converting the ground surface brightness temperature by using a preset radiation calculation model, determining the heat radiation intensity and the like. The data provides important scientific basis for subsequent fire monitoring, early warning and emergency response.

According to the embodiment of the application, the ground observation data of the forest fire occurrence area are collected through ground observation equipment such as a thermometer, a thermal imager, a multispectral infrared camera and the like. The data provides important scientific basis and practical tools for subsequent fire monitoring, early warning, analysis and emergency response.

According to the embodiment of the application, the infrared sensor and the heat radiometer are mounted through the air observation device, the infrared and visible light loads are mainly utilized to acquire image data through different angles, and the accurate observation and data acquisition of heat radiation sources such as mountain fires are realized. The data provides important scientific basis and practical tools for subsequent fire monitoring, early warning, analysis and emergency response.

In summary, the embodiment of the application acquires the surface temperature and heat radiation data of the mountain fire occurrence area through the satellite remote sensing technology. And simultaneously, an unmanned plane is used for carrying infrared and visible light equipment in the area to shoot a mountain fire area from the right above the air, so as to acquire the air mountain fire radiation data. Next, a floor measurement device, including a bolometer and an infrared camera, is deployed to capture the floor thermal radiation. By integrating remote sensing and ground measurement data, an advanced data analysis algorithm is adopted to generate a spatial distribution map of mountain fire heat radiation. Finally, through matching of three data of the sky and the ground, the atmospheric attenuation of the heat radiation energy in the region is estimated by combining the atmospheric data of the region, and the heat radiation diffusion rule is revealed. The method not only fuses multi-source data and improves the test precision, but also provides reliable basis for mountain fire management and strategy countermeasures. The method has the advantages that the distribution of heat radiation is covered on the whole, so that the actual influence of mountain fire heat radiation is more definite, and an effective tool is provided for scientific research and management in the related field.

In one embodiment of the present application, a method for testing mountain fire heat radiation distribution based on multivariate data is provided, the method comprising the steps of:

And step 1, satellite remote sensing data acquisition.

Specifically, key parameters such as the surface brightness temperature, the thermal radiation intensity and the like of a mountain fire occurrence area are obtained by utilizing a satellite remote sensing technology. First, satellites suitable for the thermal infrared band, such as the MODIS, landsat series, or dedicated thermal infrared satellites, are selected to determine the region and transit time. The satellite data is then preprocessed, including atmospheric corrections, radiation corrections, geographic corrections, etc. Then, a thermal infrared band, typically in the range of 3-5um in the mid band and 8-14um in the long band, is selected from the satellite data. Further, the radiation calculation model is utilized to convert the radiation value of the thermal infrared band into the surface brightness temperature. Finally, the heat radiation intensity is further calculated through the result obtained through the surface brightness temperature calculation.

And 2, acquiring air observation data.

It can be understood that the embodiment of the application is provided with the air observation device in advance, the air observation device comprises the mounted infrared sensor, the heat radiometer and other devices, and the air observation device can acquire finer and local data of the mountain fire heat radiation of the mountain fire occurrence area through different angles. Specifically, a carrier suitable for aerial observation can be selected, and the flying height and speed of the carrier can be selected according to task requirements. The devices on which the infrared sensor and the heat radiometer are mounted are selected, so that the devices are ensured to be in a proper wave band range and the heat radiation signals of mountain fires can be captured. The infrared sensor is consistent with the satellite in the 3-5um and 8-14um wave bands. The infrared sensor, the heat radiometer and other devices are installed on the air observation device, stability and good working state of the devices are ensured, pre-flight inspection is carried out, and normal operation of the devices is ensured, wherein the pre-flight inspection comprises device calibration, power supply, a communication system and the like.

Further, air infrared data are acquired at different angles through an air observation device according to requirements. And then post-processing the acquired air infrared data, including removing noise, performing radiation correction, calibrating temperature values and the like.

And 3, collecting ground observation data.

Ground observation equipment, including a thermometer, a thermal imager and a multispectral infrared camera, is arranged in the mountain fire occurrence area to capture the heat radiation condition on the ground and provide the observation result which is closer to the actual fire source and the distribution data of the surrounding temperature field and the radiation energy field. Specifically, firstly, equipment calibration is required to be carried out so as to ensure that the temperature measurement of the thermometer is accurate, the thermal image quality of the thermal imager is good, and the band matching and calibration of the multispectral infrared camera are accurate. And then, according to the topography and the fire source distribution condition of the mountain fire occurrence area, the ground observation equipment is reasonably arranged, so that the goal and the peripheral area can be fully covered. After the layout is completed, the ground observation equipment is started, and parameters such as ground temperature, heat radiation and the like are monitored in real time.

And 4, multi-source data fusion and processing.

After the satellite remote sensing data, the ground observation data and the air observation data are acquired, an advanced data fusion algorithm is adopted to integrate and process the multi-source data of the satellite, the air and the ground. The method comprises the steps of acquiring thermal radiation energy data based on long thermal radiation wave bands in satellites, acquiring aerial thermal radiation energy data of different angles, and acquiring thermal radiation energy data of the ground surface and the periphery. Then, combining other parameters such as aerosol, atmosphere, wind direction, satellite altitude and the like of the research area, and constructing a thermal radiation atmospheric attenuation model MA=MB+Mq through satellite energy MA and aerial energy value MB at the same angle, wherein Mq=F1, and F1 comprises atmospheric components, temperature, humidity, aerosol and altitude. It will be appreciated that for the same forest fire investigation region, an appropriate mathematical model may be selected to reflect the relationship between the raw thermal radiation data acquired by the satellites and the actual ground conditions, including mathematical expressions that take into account factors such as atmospheric transparency, ground reflectivity, observation geometry, satellite altitude, etc. And then, utilizing the air observation data MB, combining the ground observation data MC and the thermal radiation data acquired by the satellite, inputting the satellite data into a correction model, calculating correction coefficients C1 and C2 according to the root, utilizing a statistical method to perform parameter fitting on the established correction model, and applying the established correction model to output according to the model for correction to obtain the thermal radiation data which is closer to the actual ground condition. Further ma=f2 can be obtained, where F2 includes atmospheric transparency, ground reflectivity, observation geometry and satellite altitude, and further ma=f (C1, MB) +f (C2, MC) +b, b is a constant.

And 5, determining a thermal radiation detection result.

It is understood that the heat radiation detection result of the mountain fire occurrence region may include a heat radiation spatial distribution map and a heat radiation atmospheric attenuation curve. Specifically, by utilizing the integrated data, a distribution map of the mountain fire heat radiation at different layers, including a satellite layer, an air layer and a ground layer, can be generated by adopting a data processing and analysis algorithm, and a heat radiation atmospheric attenuation curve is generated at the same time. Fig. 2 is a spatial distribution diagram of mountain fire heat radiation according to an embodiment of the present application. As shown in fig. 2, the thermal radiation spatial distribution map includes spatial distribution maps of forest fire thermal radiation at a satellite layer, an air layer, and a ground layer. In the embodiment of the application, the spatial distribution map of the mountain fire heat radiation in the satellite layer, the air layer and the ground layer can be generated by utilizing the integrated data and adopting a spatial interpolation algorithm. In one example, atmospheric transparency and temperature at different heights and distances can also be calculated using meteorological data and an atmospheric model. In another example, a radiation transfer model, such as a radiation transfer equation, may also be used to calculate the propagation of thermal radiation in the atmosphere. In yet another example, an atmospheric attenuation curve of thermal radiation at different heights and distances may be generated in conjunction with actual observed data.

And 6, verifying and optimizing.

It can be appreciated that by verifying the generated thermal radiation profile with the actual observed temperature and then optimizing the algorithm using the feedback information, the accuracy and reliability of the test can be improved.

The technical scheme combines satellite, aerial and ground measurement technologies, can more accurately evaluate the space-time distribution situation of mountain fire heat radiation, provides more comprehensive data support for scientific researches such as fire source tracking, mountain fire development simulation and the like, and promotes the development of related fields. Accurate testing of mountain fire heat radiation is helpful for formulating a more effective environment monitoring scheme, and timely finding and coping with mountain fire events. The accuracy of mountain fire heat radiation test is improved, more reliable information is provided for emergency decision, and adverse effects of mountain fire on society are slowed down.

The above is only an example of the present application, and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.

The embodiment of the application also provides a processor configured to execute the method for mountain fire heat radiation distribution test in the embodiment.

Fig. 3 is a schematic structural diagram of a device for testing distribution of heat radiation of mountain fire according to an embodiment of the present application. As shown in fig. 3, an embodiment of the present application further provides an apparatus 300 for mountain fire heat radiation distribution testing, where the apparatus 300 includes:

the data acquisition module 310 is configured to acquire satellite observation data, aerial observation data and ground observation data of a mountain fire heat radiation condition of a mountain fire occurrence area.

The data fusion module 320 is configured to fuse satellite observation data, air observation data, and ground observation data according to a preset data fusion algorithm, so as to obtain fused data.

The data determining module 330 is configured to determine a mountain fire heat radiation detection result of the mountain fire occurrence area according to the fused data.

The device 300 for mountain fire heat radiation distribution test obtains satellite observation data, air observation data and ground observation data of mountain fire heat radiation conditions of a mountain fire occurrence area, then performs fusion processing on the satellite observation data, the air observation data and the ground observation data according to a preset data fusion algorithm to obtain fused data, and finally determines mountain fire heat radiation detection results of the mountain fire occurrence area according to the fused data. According to the application, the heat radiation detection result of the mountain fire occurrence area can be determined by fusing the multi-source data, the heat radiation distribution is covered on the whole, the accuracy of the detection result is improved, and the actual influence condition of the mountain fire heat radiation is clearer and more definite.

In one embodiment, the mountain fire thermal radiation detection result comprises a thermal radiation spatial distribution map of the mountain fire occurrence region, and the data determination module 330 is further configured to generate, according to the fused data, a thermal radiation spatial distribution map of the mountain fire occurrence region by a spatial difference algorithm, where the thermal radiation spatial distribution map comprises distribution maps of thermal radiation in a satellite layer, an air layer and a ground layer.

In one embodiment, the data determination module 330 is further configured to obtain an actual observed temperature of the forest fire occurrence area, determine feedback information based on the actual observed temperature and the thermal radiation spatial distribution map, and optimize a spatial difference algorithm based on the feedback information.

In one embodiment, the mountain fire thermal radiation detection result comprises a thermal radiation atmospheric attenuation curve of a mountain fire occurrence area, and the data determination module 330 is further configured to acquire meteorological data of the mountain fire occurrence area, determine the atmospheric transparency and the temperature at different heights and different distances according to the meteorological data based on a preset atmospheric model, determine the thermal radiation transmission result in the atmosphere according to the atmospheric transparency and the temperature at different heights and different distances based on a preset radiation transmission model, and generate the thermal radiation atmospheric attenuation curve according to the thermal radiation transmission result and the fused data.

In one embodiment, the satellite observation data comprises the ground lighting and thermal radiation intensity of the mountain fire occurrence area, and the data acquisition module 310 is further configured to acquire satellite remote sensing data, perform preprocessing on the satellite remote sensing data to obtain processed data, where the preprocessing includes atmospheric correction, radiation correction and/or geographical correction, convert the radiation value of the preset infrared band in the processed data into the ground lighting temperature based on the preset radiation calculation model, and according to the ground lighting Wen Queding thermal radiation intensity.

In one embodiment, the ground observation data is collected by a ground observation device including a thermometer, a thermal imager, and a multispectral infrared camera.

In one embodiment, the airborne observation data is collected by an airborne observation device, on which an infrared sensor and a heat radiometer are mounted.

Embodiments of the present application also provide a machine-readable storage medium having stored thereon instructions for causing a machine to perform the method for mountain fire heat radiation distribution testing in the above-described embodiments.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application 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 application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. 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.

In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises an element.

The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.

Claims

1. A method for mountain fire thermal radiation distribution testing, comprising:

According to a preset data fusion algorithm, carrying out fusion processing on the satellite observation data, the air observation data and the ground observation data to obtain fused data;

2. The method of claim 1, wherein the mountain fire thermal radiation detection result includes a thermal radiation spatial profile of the mountain fire occurrence region, and wherein determining the mountain fire thermal radiation detection result of the mountain fire occurrence region from the fused data includes:

and generating a thermal radiation spatial distribution map of the mountain fire occurrence area through a spatial difference algorithm according to the fused data, wherein the thermal radiation spatial distribution map comprises distribution maps of thermal radiation on a satellite layer, an air layer and a ground layer.

3. The method according to claim 2, wherein the method further comprises:

Acquiring the actual observation temperature of the mountain fire occurrence area;

Determining feedback information according to the actual observation temperature and the thermal radiation spatial distribution map;

and optimizing the spatial difference algorithm according to the feedback information.

4. The method of claim 1, wherein the mountain fire thermal radiation detection result includes a thermal radiation atmospheric attenuation curve of the mountain fire occurrence region, and wherein determining the mountain fire thermal radiation detection result of the mountain fire occurrence region from the fused data includes:

Acquiring meteorological data of the mountain fire occurrence area;

determining the transparency and the temperature of the atmosphere at different heights and different distances according to the meteorological data based on a preset atmosphere model;

Determining a thermal radiation transmission result in the atmosphere according to the transparency and the temperature of the atmosphere at different heights and different distances based on a preset radiation transmission model;

and generating the thermal radiation atmospheric attenuation curve according to the thermal radiation transmission result and the fused data.

5. The method of claim 1, wherein the satellite observation data comprises a surface lighting and thermal radiation intensity of the mountain fire occurrence area, and wherein the acquiring satellite observation data of mountain fire thermal radiation conditions of the mountain fire occurrence area comprises:

Acquiring satellite remote sensing data;

preprocessing the satellite remote sensing data to obtain processed data, wherein the preprocessing comprises atmospheric correction, radiation correction and/or geographic correction;

converting a radiation value of a preset infrared band in the processed data into the surface brightness temperature based on a preset radiation calculation model;

And determining the heat radiation intensity according to the surface brightness temperature.

6. The method of claim 1, wherein the surface observation data is acquired by a surface observation device comprising a thermometer, a thermal imager, and a multispectral infrared camera.

7. The method of claim 1, wherein the aerial survey data is collected by an aerial survey device having an infrared sensor and a bolometer mounted thereon.

8. A processor configured to perform the method for mountain fire thermal radiation profile testing according to any one of claims 1 to 7.

9. An apparatus for mountain fire thermal radiation distribution testing, the apparatus comprising:

The data fusion module is used for carrying out fusion processing on the satellite observation data, the air observation data and the ground observation data according to a preset data fusion algorithm so as to obtain fused data;

10. A machine-readable storage medium having stored thereon instructions for causing a machine to perform the method for mountain fire thermal radiation distribution testing according to any one of claims 1 to 7.