Intelligent safety monitoring method and system for coal yard of thermal power plant

Abstract

The invention relates to the technical field of safety monitoring, in particular to an intelligent safety monitoring method and system for a coal yard of a thermal power plant, and the method comprises the steps: carrying out the multi-dimensional safety monitoring analysis based on a coal pile infrared thermogram, a coal yard monitoring image and environment monitoring data, and determining a multi-dimensional safety monitoring analysis result. When the multi-dimensional safety monitoring analysis result is abnormal, emergency processing analysis is carried out based on abnormal data, emergency measure information is determined, and the emergency measure information is sent to the corresponding linkage equipment, so that the linkage equipment is controlled to automatically execute emergency measures. In the process of carrying out safety monitoring on the coal yard of the thermal power plant, multi-dimensional monitoring analysis on the safety of the coal yard is realized by integrating multiple monitoring means and data resources, the limitation of a single monitoring mode in related technologies is solved, the discovery and processing efficiency of potential safety hazards is improved, and the safety of the coal yard is ensured. And powerful technical support is provided for safety management of the coal yard of the thermal power plant.

Description

Technical Field

[0001] The present application relates to the technical field of safety monitoring, and in particular to an intelligent safety monitoring method and system for a coal yard of a thermal power plant. Background Art

[0002] As an important facility for coal-fired power generation, the safety of coal yards in thermal power plants is directly related to the continuity and stability of power production. However, coal yards face a variety of safety hazards during operation, such as spontaneous combustion of coal piles, accumulation of harmful gases, and dust explosions. These safety hazards not only threaten the lives of coal yard workers, but may also have a serious impact on the surrounding environment. At present, the safety monitoring of coal yards in thermal power plants mainly relies on manual inspections, but manual inspections have problems such as long inspection cycles and difficulty in ensuring inspection quality, making it difficult to detect and deal with safety hazards in a timely manner.

[0003] With the advancement of automation and sensor technology, some coal yards of thermal power plants have begun to introduce intelligent equipment for auxiliary monitoring. Therefore, in related technologies, infrared thermal imaging technology is used to monitor the temperature of coal piles, and the risk of spontaneous combustion is determined by setting temperature thresholds; gas concentration sensors are used to monitor the concentration of harmful gases in the coal yard, and once the concentration exceeds the set value, an alarm is triggered. However, these methods can often only monitor a single safety hazard, lack a comprehensive safety monitoring solution, and it is difficult to achieve timely discovery and effective treatment of safety hazards.

[0004] Therefore, how to solve the above technical defects is an urgent problem to be solved by those skilled in the art. Summary of the invention

[0005] The purpose of this application is to provide an intelligent safety monitoring method and system for a coal yard of a thermal power plant, so as to solve at least one of the above technical problems.

[0006] The above invention objectives of the present application are achieved through the following technical solutions: In the first aspect, the present application provides an intelligent safety monitoring method for a coal yard of a thermal power plant, which adopts the following technical solution: An intelligent safety monitoring method for a coal yard of a thermal power plant, comprising: Obtain infrared thermal images of coal piles collected by infrared thermal imagers, coal yard monitoring images collected by image acquisition equipment, and environmental monitoring data collected by environmental monitoring equipment; Perform multi-dimensional safety monitoring analysis based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data, and determine the multi-dimensional safety monitoring analysis result; When the result of the multi-dimensional safety monitoring and analysis is abnormal, an emergency processing analysis is performed based on the abnormal data, emergency measures information is determined, and the emergency measures information is sent to the corresponding linkage device to control the linkage device to automatically execute emergency measures, wherein the abnormal data is data detected to deviate from the normal range in the multi-dimensional safety monitoring and analysis.

[0007] By adopting the above technical scheme, the infrared thermal image of the coal pile collected by the infrared thermal imager, the coal yard monitoring image collected by the image acquisition device and the environmental monitoring data collected by the environmental monitoring device are obtained, and multi-dimensional safety monitoring analysis is performed based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data to determine the multi-dimensional safety monitoring analysis results. When the multi-dimensional safety monitoring analysis result is abnormal, emergency processing analysis is performed based on the abnormal data, emergency measures information is determined, and the emergency measures information is sent to the corresponding linkage equipment to control the linkage equipment to automatically execute emergency measures. In the process of safety monitoring of the coal yard of the thermal power plant, the impact of multiple factors such as coal pile temperature, personnel behavior, equipment operation status, harmful gas and dust concentration on the safety of the coal yard of the thermal power plant is considered at the same time, that is, by integrating multiple monitoring means and data resources, multi-dimensional monitoring and analysis of coal yard safety is realized, the limitations of the single monitoring method in the relevant technology are solved, and the efficiency of discovering and handling safety hazards is improved, which provides strong technical support for the safety management of the coal yard of the thermal power plant.

[0008] In a preferred example, the present application may be further configured as follows: performing multi-dimensional safety monitoring analysis based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data, and determining the multi-dimensional safety monitoring analysis result, including: Preprocessing is performed based on the infrared thermal image of the coal pile to obtain a preprocessed infrared thermal image, and temperature distribution analysis is performed on the preprocessed infrared thermal image using an image processing algorithm to determine a first area and a second area; Acquire a high temperature abnormal temperature threshold, perform temperature abnormality detection based on the temperature data corresponding to the first area and the high temperature abnormal temperature threshold, determine a temperature abnormality detection result, and perform uniformity analysis based on the first area and the second area to determine a temperature uniformity analysis result; Performing target recognition based on the coal yard monitoring image to determine the target object to be monitored, wherein the types of the target object to be monitored include: personnel and equipment; and performing behavior analysis based on the target object to be monitored to determine the behavior analysis result; An environmental safety analysis is performed based on the environmental monitoring data to determine the environmental safety analysis result, and the temperature anomaly detection result, the temperature uniformity analysis result, the behavior analysis result and the environmental safety analysis result are integrated to obtain a multi-dimensional safety monitoring analysis result.

[0009] In a preferred example, the present application may be further configured as follows: the behavior analysis based on the target object to be monitored and the behavior analysis result determined include: When the type of the target object to be monitored is equipment, performing equipment operation status analysis based on the coal yard monitoring image to determine the equipment operation analysis result; When the type of the target object to be monitored is a person, personnel behavior extraction is performed based on the coal yard monitoring image to determine the walking trajectory, operating behavior and working area of ​​the person; Performing personnel work status analysis based on the personnel's walking trajectory, the personnel's operating behavior, and the personnel's work area, and determining the personnel work analysis result; The equipment operation analysis results and the personnel work analysis results are combined to obtain a behavior analysis result.

[0010] In a preferred example, the present application may be further configured as follows: after acquiring the infrared thermal image of the coal pile acquired by the infrared thermal imager, the coal yard monitoring image acquired by the image acquisition device, and the environmental monitoring data acquired by the environmental monitoring device, the following further configuration is included: Acquire three-dimensional modeling data corresponding to the coal yard of a thermal power plant, and construct a model based on the three-dimensional modeling data to obtain an initial three-dimensional model; Based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data, the initial three-dimensional model is rendered in real time to obtain a three-dimensional model of the coal yard of the thermal power plant; Virtual reality technology is used to display the three-dimensional model of the coal yard of the thermal power plant, so that the coal yard of the thermal power plant can support remote inspection.

[0011] In a preferred example, the present application may be further configured as follows: after sending the emergency measure information to the corresponding linkage device to control the linkage device to automatically execute the emergency measure, it further includes: When the emergency measures are completed, the drone is controlled to fly to the emergency response target location to collect multi-dimensional information; The multi-dimensional information sent by the drone is obtained, and an emergency response effect evaluation is performed based on the multi-dimensional information to determine the effect evaluation result, wherein the multi-dimensional information includes: high-definition images after emergency measures, infrared thermal images after emergency measures, and environmental data after emergency measures.

[0012] In a preferred example, the present application may be further configured as follows: after performing multi-dimensional safety monitoring analysis based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data and determining the result of the multi-dimensional safety monitoring analysis, the configuration further includes: When the multi-dimensional safety monitoring analysis result is normal, historical infrared thermal images and historical environmental monitoring data are obtained, and the temperature trend of the coal pile is predicted based on the historical infrared thermal images and the infrared thermal images of the coal pile to determine the temperature prediction data; Performing environmental data trend prediction based on the historical environmental monitoring data and the environmental monitoring data to determine environmental prediction data; A potential risk analysis is performed based on the temperature prediction data and the environment prediction data to determine potential risk information.

[0013] In the second aspect, the present application provides an intelligent safety monitoring system for a coal yard of a thermal power plant, which adopts the following technical solution: An information acquisition module is used to acquire infrared thermal images of coal piles collected by infrared thermal imagers, coal yard monitoring images collected by image acquisition equipment, and environmental monitoring data collected by environmental monitoring equipment; A safety monitoring and analysis module, used to perform multi-dimensional safety monitoring and analysis based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data, and determine the multi-dimensional safety monitoring and analysis results; The emergency processing analysis module is used to perform emergency processing analysis based on abnormal data, determine emergency measures information, and send the emergency measures information to the corresponding linkage device to control the linkage device to automatically execute emergency measures when the multi-dimensional safety monitoring analysis result is abnormal. The abnormal data is data that deviates from the normal range detected in the multi-dimensional safety monitoring analysis.

[0014] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the above-mentioned intelligent safety monitoring method for a coal yard of a thermal power plant.

[0015] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program, which, when executed in a computer, causes the computer to execute the above-mentioned intelligent safety monitoring method for a coal yard of a thermal power plant.

[0016] In summary, the present application includes at least one of the following beneficial technical effects: The infrared thermal image of the coal pile collected by the infrared thermal imager, the coal yard monitoring image collected by the image acquisition device, and the environmental monitoring data collected by the environmental monitoring device are obtained, and multi-dimensional safety monitoring analysis is performed based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data to determine the multi-dimensional safety monitoring analysis results. When the multi-dimensional safety monitoring analysis result is abnormal, emergency processing analysis is performed based on the abnormal data, emergency measures information is determined, and the emergency measures information is sent to the corresponding linkage equipment to control the linkage equipment to automatically execute emergency measures. In the process of safety monitoring of the coal yard of the thermal power plant, the impact of multiple factors such as coal pile temperature, personnel behavior, equipment operation status, harmful gas and dust concentration on the safety of the coal yard of the thermal power plant is considered at the same time. That is, by integrating multiple monitoring means and data resources, multi-dimensional monitoring and analysis of coal yard safety is realized, which solves the limitations of the single monitoring method in related technologies, and improves the efficiency of discovering and handling safety hazards, providing strong technical support for the safety management of the coal yard of the thermal power plant.

[0017] When the type of the target object to be monitored is equipment, the equipment operation status analysis is performed based on the coal yard monitoring image to determine the equipment operation analysis results. When the type of the target object to be monitored is personnel, personnel behavior extraction is performed based on the coal yard monitoring image to determine the personnel walking trajectory, personnel operation behavior and personnel work area, and personnel work status analysis is performed based on the personnel walking trajectory, personnel operation behavior and personnel work area to determine the personnel work analysis results. Finally, the equipment operation analysis results and personnel work analysis results are combined to obtain the behavior analysis results. Through real-time monitoring and analysis of the operating status of the equipment, the potential safety hazards of the equipment can be predicted, which helps to reduce the probability of safety accidents. At the same time, through monitoring and analysis of personnel behavior, personnel operation behavior can be standardized to prevent accidents caused by improper operation and enhance the safety management level of the coal yard. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flow chart of an intelligent safety monitoring method for a coal yard of a thermal power plant according to one embodiment of the present application; Figure 2 It is a structural schematic diagram of an intelligent safety monitoring system for a coal yard of a thermal power plant according to one embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device according to one embodiment of the present application. DETAILED DESCRIPTION

[0019] The following combination Figures 1 to 3 This application is described in further detail.

[0020] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, a person skilled in the art may make non-creative modifications to the present embodiment as needed, but such modifications are protected by the patent law as long as they are within the scope of the present application.

[0021] In order to make the purpose, technical scheme and advantages of the embodiment of the present application clearer, the technical scheme in the embodiment of the present application will be clearly and completely described in conjunction with the drawings in the embodiment of the present application. Obviously, the described embodiment is a part of the embodiment of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application. It should be noted that in the optional embodiments of the present application, the object information and other related data involved, when the embodiments in the present application are applied to specific products or technologies, need to obtain the permission or consent of the object, and the collection, use and processing of the relevant data need to comply with the relevant laws, regulations and standards of the relevant countries and regions. In other words, if the data related to the object is involved in the embodiment of the present application, it needs to be obtained through the authorization and consent of the object, the authorization and consent of the relevant departments, and in accordance with the relevant laws, regulations and standards of the country and region. If personal information is involved in the embodiment, the acquisition of all personal information needs to obtain the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained, and the embodiment also needs to be implemented with the authorization and consent of the object.

[0022] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0023] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0024] The present application embodiment provides an intelligent safety monitoring method for a coal yard of a thermal power plant, such as Figure 1 As shown, the method includes step S101, step S102 and step S103, wherein: Step S101: obtaining an infrared thermal image of a coal pile collected by an infrared thermal imager, a coal yard monitoring image collected by an image acquisition device, and environmental monitoring data collected by an environmental monitoring device.

[0025] For the embodiment of the present application, in the process of intelligent safety monitoring of the coal yard of a thermal power plant, the heat generated by the internal oxidation reaction during the long-term accumulation of the coal pile may cause the temperature to rise, thereby causing spontaneous combustion. Spontaneous combustion will not only cause a waste of coal resources, but may also cause fires, posing a serious threat to the coal yard and surrounding facilities. Therefore, using an infrared imager to collect the temperature distribution of the coal pile is convenient for timely detection of potential high-temperature points or abnormal temperature changes, providing an important basis for preventing natural disasters. Among them, the infrared thermal imager is recommended to use a model with high sensitivity and the ability to work at a long distance.

[0026] In the coal yard of a thermal power plant, long-term operation may cause equipment failure due to wear, overload, etc., resulting in equipment shutdown or damage. The complex workflow may allow foreign objects such as coal blocks and anchors to enter the equipment, causing equipment damage or abnormal operation. At the same time, personnel in the coal yard may violate regulations due to unfamiliarity with operating procedures or negligence, which may lead to safety accidents, such as entering dangerous areas without permission or not wearing protective equipment. Therefore, image acquisition equipment is used to collect coal yard monitoring images in order to comprehensively monitor the behavior of personnel and equipment operation status in the coal yard of a thermal power plant. It is recommended to select a product model with waterproof and dustproof performance and certified by industrial standards.

[0027] During storage, coal will react with air to produce harmful gases such as methane, carbon monoxide, and carbon dioxide. The generation of harmful gases will pose a serious threat to the safety of the coal yard and may also pollute the surrounding environment. At the same time, due to the strong sealing and poor ventilation of the fully enclosed coal yard, a large amount of dust will be generated when the stacker is operating, which will not only cause damage to the health of the on-site workers, but also when the dust accumulates to a certain concentration, there is a risk of explosion when it encounters electric sparks or open flames. Therefore, environmental monitoring equipment is used to collect environmental monitoring data in order to timely discover and deal with the hazards caused by excessive harmful gases and dust.

[0028] The infrared thermal imager, image acquisition device and environmental monitoring device are transmitted wirelessly to the electronic device, so that the electronic device can obtain the relevant data collected by the infrared thermal imager, image acquisition device and environmental monitoring device in real time.

[0029] Step S102: Perform multi-dimensional safety monitoring analysis based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data to determine the multi-dimensional safety monitoring analysis result.

[0030] For the embodiments of the present application, a multi-dimensional safety monitoring and analysis is performed based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data to determine the multi-dimensional safety monitoring and analysis results. That is, in the process of safety monitoring of the coal yard of the thermal power plant, the impact of multiple factors such as coal pile temperature, personnel behavior, equipment operating conditions, harmful gases and dust concentrations on the safety of the coal yard of the thermal power plant is taken into account at the same time. That is, by integrating a variety of monitoring means and data resources, a multi-dimensional monitoring and analysis of the safety of the coal yard is realized, which solves the limitations of the single monitoring method in the relevant technology, and improves the efficiency of discovering and handling safety hazards, providing strong technical support for the safety management of the coal yard of the thermal power plant.

[0031] There are many specific implementation methods for multi-dimensional safety monitoring and analysis, which are no longer limited in the embodiments of the present application. In one feasible method, preprocessing is performed based on the infrared thermal image of the coal pile to obtain a preprocessed infrared thermal image, and a temperature distribution analysis is performed on the preprocessed infrared thermal image using an image processing algorithm to determine the first area and the second area; a high temperature abnormal temperature threshold is obtained, and a temperature abnormality detection is performed based on the temperature data corresponding to the first area and the high temperature abnormal temperature threshold to determine the temperature abnormality detection result, and a uniformity analysis is performed based on the first area and the second area to determine the temperature uniformity analysis result; target recognition is performed based on the coal yard monitoring image to determine the target object to be monitored, wherein the types of the target object to be monitored include: personnel and equipment; and behavior analysis is performed based on the target object to be monitored to determine the behavior analysis result; environmental safety analysis is performed based on the environmental monitoring data to determine the environmental safety analysis result, and the temperature abnormality detection result, temperature uniformity analysis result, behavior analysis result and environmental safety analysis result are integrated to obtain a multi-dimensional safety monitoring and analysis result.

[0032] Step S103: When the result of the multi-dimensional security monitoring analysis is abnormal, emergency processing analysis is performed based on the abnormal data, emergency measures information is determined, and the emergency measures information is sent to the corresponding linkage device to control the linkage device to automatically execute emergency measures, wherein the abnormal data is data detected to deviate from the normal range in the multi-dimensional security monitoring analysis.

[0033] For the embodiment of the present application, when the result of the multi-dimensional safety monitoring analysis is abnormal, an emergency processing analysis is performed based on the abnormal data that deviates from the normal range detected in the multi-dimensional safety monitoring analysis to determine the emergency measures information, that is, the correspondence between the abnormal data and the emergency measures is pre-stored in the electronic device, so that the most appropriate emergency measures can be quickly matched, wherein the emergency measures include but are not limited to: starting fire-fighting equipment, shutting down dangerous equipment, starting air purification devices, warning personnel to operate in a standardized manner, etc. The specific content of the emergency measures is no longer limited in the embodiment of the present application. Then, the emergency measures information is sent to the corresponding linkage device to control the linkage device to automatically execute the emergency measures. For example, when the emergency measures information is to start the fire-fighting equipment, the fire pump, automatic sprinkler fire extinguishing system, etc. will be automatically started to perform the fire extinguishing operation.

[0034] It can be seen that in the embodiment of the present application, the infrared thermal image of the coal pile collected by the infrared thermal imager, the coal yard monitoring image collected by the image acquisition device, and the environmental monitoring data collected by the environmental monitoring device are obtained, and a multi-dimensional safety monitoring analysis is performed based on the infrared thermal image of the coal pile, the coal yard monitoring image, and the environmental monitoring data to determine the multi-dimensional safety monitoring analysis result. When the multi-dimensional safety monitoring analysis result is abnormal, an emergency processing analysis is performed based on the abnormal data, the emergency measures information is determined, and the emergency measures information is sent to the corresponding linkage device to control the linkage device to automatically execute the emergency measures. In the process of safety monitoring of the coal yard of a thermal power plant, the impact of multiple factors such as coal pile temperature, personnel behavior, equipment operation status, harmful gas and dust concentration on the safety of the coal yard of a thermal power plant is considered at the same time, that is, by integrating multiple monitoring means and data resources, a multi-dimensional monitoring and analysis of the safety of the coal yard is realized, the limitations of the single monitoring method in the relevant technology are solved, and the efficiency of discovering and handling safety hazards is improved, which provides strong technical support for the safety management of the coal yard of a thermal power plant.

[0035] Furthermore, in order to ensure the safety of coal storage in the coal yard of a thermal power plant, timely discover potential safety hazards, and avoid the occurrence of safety accidents, in an embodiment of the present application, a multi-dimensional safety monitoring analysis is performed based on the infrared thermal image of the coal pile, the coal yard monitoring image, and the environmental monitoring data to determine the multi-dimensional safety monitoring analysis results, including: Preprocessing is performed based on the infrared thermal image of the coal pile to obtain a preprocessed infrared thermal image, and temperature distribution analysis is performed on the preprocessed infrared thermal image using an image processing algorithm to determine a first area and a second area; Acquire a high temperature abnormal temperature threshold, perform temperature abnormality detection based on the temperature data corresponding to the first area and the high temperature abnormal temperature threshold, determine the temperature abnormality detection result, and perform uniformity analysis based on the first area and the second area to determine the temperature uniformity analysis result; For the embodiments of the present application, coal is naturally a common safety hazard during storage. In order to ensure the safety of coal storage in the coal yard of a thermal power plant, infrared imaging technology is used to monitor the temperature distribution of the coal pile in real time, promptly detect and deal with abnormal temperature areas, and effectively prevent the occurrence of safety accidents such as fire.

[0036] Specifically, preprocessing is performed based on the infrared thermal image of the coal pile to obtain a preprocessed infrared thermal image, wherein the preprocessing includes but is not limited to: image format conversion, image noise reduction, image enhancement, etc., and the preprocessing operation is performed to improve the image quality of the infrared thermal image of the coal pile. However, the color in the infrared thermal image is mapped to the temperature, usually the first area is presented as a bright color or warm color, and the second area is dark or cold color, and the color in the preprocessed infrared thermal image is converted into a specific temperature value according to the calibration parameters of the infrared thermal imager. Then, the preprocessed infrared thermal image is divided into a first area and a second area using an image processing algorithm, and the temperature of each area is calculated to obtain the highest temperature of the first area, the lowest temperature of the second area, and the average temperature of the entire area. In the process of performing area division, the temperature boundary value for dividing the high temperature area and the low temperature area is pre-set. When the area temperature is lower than the temperature boundary value, the area is characterized as a low temperature area and recorded as the second area; when the area temperature is not lower than the temperature boundary value, the area is characterized as a high temperature area and recorded as the first area.

[0037] At the same time, the electronic device pre-stores a high temperature abnormal temperature threshold, which is a reasonable temperature threshold set by technicians based on specific application scenarios and experience. That is, when the temperature of the coal pile is higher than the high temperature abnormal temperature threshold, it indicates that the temperature of the coal pile is abnormal, and there is a hidden danger of causing coal natural hazards. Then, based on the temperature data corresponding to the first area and the high temperature abnormal temperature threshold, temperature abnormality detection is performed to determine the temperature abnormality detection result, that is, when the average temperature corresponding to the first area is higher than the high temperature abnormal temperature threshold, the temperature abnormality detection result is determined to be temperature abnormality; otherwise, the temperature abnormality detection result is determined to be normal temperature.

[0038] Furthermore, based on the temperature value of each pixel point in the first area, the difference between the pixel point and the average temperature corresponding to the first area is calculated, and the square sum of the above differences is calculated. The square sum is divided by the total number of data to obtain the variance, and then the square root of the variance is taken to obtain the standard deviation of the first area; similarly, the standard deviation of the second area is calculated. Then, the standard deviation of the first area is divided by the average temperature to obtain the coefficient of variation of the first area; the standard deviation of the second area is divided by the average temperature to obtain the coefficient of variation of the second area. For the standard deviation or coefficient of variation, the smaller the standard deviation or coefficient of variation, the more uniform the temperature distribution. Furthermore, based on the standard deviation and coefficient of variation corresponding to the first area, and the standard deviation and coefficient of variation corresponding to the second area, a uniformity analysis is performed to determine the temperature uniformity analysis result, wherein the temperature uniformity analysis result includes two categories: uniform temperature and non-uniform temperature. In the process of performing the uniformity analysis, the standard deviation evaluation threshold and the coefficient of variation evaluation threshold are pre-stored in the electronic device, that is, when the calculated standard deviation or coefficient of variation is greater than the corresponding evaluation threshold, the temperature uniformity analysis result is determined to be uniform temperature; otherwise, the temperature uniformity analysis result is determined to be non-uniform temperature.

[0039] Performing target recognition based on the coal yard monitoring image to determine the target object to be monitored, wherein the types of the target object to be monitored include: personnel and equipment; and performing behavior analysis based on the target object to be monitored to determine the behavior analysis result; For the embodiments of the present application, the coal yard is an important place for coal storage and transportation, and its safety management is of vital importance. Through target recognition and behavior analysis, the personnel and equipment in the coal yard can be monitored in real time, and potential safety hazards can be discovered in time, thereby avoiding the occurrence of safety accidents.

[0040] Specifically, a target recognition model is obtained, which is obtained by training a convolutional neural network model using a large amount of training data, and the target recognition model can automatically identify the target object included in the image. Therefore, the coal yard monitoring image is input into the target recognition model, and the target recognition model automatically identifies the objects included in the coal yard monitoring image, and outputs the target object to be monitored and its category. Then, a behavior analysis is performed based on the target object to be monitored to determine the behavior analysis result, wherein the behavior analysis result includes: equipment operation analysis result and personnel work analysis result. There are many specific implementation processes for behavior analysis, and the embodiment of the present application is no longer limited. In an achievable manner, when the type of the target object to be monitored is equipment, the equipment operation status analysis is performed based on the coal yard monitoring image to determine the equipment operation analysis result; when the type of the target object to be monitored is personnel, personnel behavior extraction is performed based on the coal yard monitoring image to determine the personnel walking trajectory, personnel operation behavior and personnel work area; personnel work status analysis is performed based on the personnel walking trajectory, personnel operation behavior and personnel work area to determine the personnel work analysis result; the equipment operation analysis result and the personnel work analysis result are integrated to obtain the behavior analysis result.

[0041] Conduct environmental safety analysis based on environmental monitoring data, determine the environmental safety analysis results, integrate temperature anomaly detection results, temperature uniformity analysis results, behavior analysis results and environmental safety analysis results, and obtain multi-dimensional safety monitoring analysis results.

[0042] For the embodiment of the present application, the environmental monitoring data includes the concentration of various harmful gases and dust. At the same time, the electronic device also pre-stores the environmental data safety threshold corresponding to each data item. Therefore, based on the environmental monitoring data and each environmental data safety threshold, a numerical match is performed. When any value is higher than the environmental data safety threshold, the environmental safety analysis result is determined to be an abnormal environment; otherwise, the environmental safety analysis result is determined to be a normal environment. Finally, the temperature anomaly detection results, temperature uniformity analysis results, behavior analysis results, and environmental safety analysis results are combined to obtain a multi-dimensional safety monitoring analysis result.

[0043] It can be seen that in the embodiment of the present application, in order to ensure the safety of coal storage in the coal yard of a thermal power plant, timely discover and deal with temperature abnormality areas, and effectively prevent the occurrence of safety accidents such as fires, preprocessing is performed based on the infrared thermal image of the coal pile to obtain the preprocessed infrared thermal image, and the image processing algorithm is used to perform temperature distribution analysis on the preprocessed infrared thermal image to determine the first area and the second area. Then, temperature anomaly detection is performed based on the temperature data corresponding to the first area and the high temperature abnormal temperature threshold to determine the temperature anomaly detection result, and uniformity analysis is performed based on the first area and the second area to determine the temperature uniformity analysis result. At the same time, target recognition is performed based on the coal yard monitoring image to determine the target object to be monitored, and behavior analysis is performed based on the target object to be monitored to determine the behavior analysis result. Through target recognition and behavior analysis, the personnel and equipment in the coal yard can be monitored in real time, and potential safety hazards can be discovered in time, thereby avoiding the occurrence of safety accidents. Furthermore, environmental safety analysis is performed based on environmental monitoring data to determine the environmental safety analysis result, and the temperature anomaly detection result, temperature uniformity analysis result, behavior analysis result and environmental safety analysis result are integrated to obtain a multi-dimensional safety monitoring analysis result.

[0044] Furthermore, in order to reduce the probability of safety accidents and enhance the safety management level of the coal yard, in the embodiment of the present application, a behavior analysis is performed based on the target object to be monitored to determine the behavior analysis result, including: When the type of the target object to be monitored is equipment, the equipment operation status analysis is performed based on the coal yard monitoring image to determine the equipment operation analysis result; When the type of the target object to be monitored is a person, the person's behavior is extracted based on the coal yard monitoring image to determine the person's walking trajectory, person's operating behavior and person's working area; Analyze personnel work status based on personnel walking trajectories, personnel operation behaviors and personnel work areas, and determine personnel work analysis results; The behavior analysis results are obtained by integrating the equipment operation analysis results and the personnel work analysis results.

[0045] For the embodiments of the present application, the coal yard is an important place for coal storage and transportation, and its safety management is of vital importance. Through target recognition and behavior analysis, the personnel and equipment in the coal yard can be monitored in real time, and potential safety hazards can be discovered in time. That is, through real-time monitoring and analysis of the operating status of the equipment, the possible safety hazards of the equipment can be predicted, and the probability of safety accidents can be reduced; through monitoring and analysis of personnel behavior, personnel operating behavior can be standardized, accidents caused by improper operation can be prevented, and the safety management level of the coal yard can be enhanced.

[0046] Specifically, when the type of the target object to be monitored is equipment, the equipment operation status analysis is performed based on the coal yard monitoring image to determine the equipment operation analysis results, wherein the equipment operation analysis results include: normal equipment operation and equipment operation failure, that is, in the process of performing the equipment operation status analysis, by matching the current status of the equipment in the coal yard monitoring image with the image with the operation failure, when the match is successful, the equipment operation failure is determined; otherwise, the equipment operation is determined to be normal. The dimensions for the equipment operation status analysis include but are not limited to: coal yard conveying status, crushing and screening status, that is, the coal yard conveying status is used to monitor the operation status of equipment such as belt conveyors and bucket wheel reclaimers, to determine whether the equipment is operating normally, and whether there are abnormal conditions such as jamming and slipping; the crushing and screening status is used to monitor the operation status of equipment such as crushers and screeners, to determine whether the equipment has blockages, vibrations and other failures.

[0047] Furthermore, when the type of the target object to be monitored is a person, the person behavior is extracted based on the coal yard monitoring image to determine the walking trajectory, operating behavior and working area of ​​the person. For the extraction of walking trajectory of the person, the identity is automatically identified based on the coal yard monitoring image, and the walking trajectory of the person in the coal yard is drawn by combining the personnel positioning technology and the trajectory analysis algorithm. For the extraction of operating behavior of the person, the coal yard monitoring image is intelligently analyzed and processed by machine learning or deep learning algorithms to identify the operating behavior of the person, such as turning on the equipment, moving materials, etc., and the operating behavior of the person can be further verified and evaluated by combining the equipment operation status data. For the extraction of the working area of ​​the person, first, the coal yard is divided into different working areas according to the layout of the coal yard and the coverage of the surveillance camera. Then, the position of the person in the monitoring image is determined by image recognition technology, and it is mapped to the corresponding working area to determine the working area of ​​the person.

[0048] After that, the personnel work status analysis is conducted based on the personnel walking trajectory, personnel operating behavior and personnel working area to determine the personnel work analysis results, where the personnel work analysis results include: normal personnel work and abnormal personnel work. For the personnel work status analysis, on the one hand, analyze whether the personnel's walking trajectory complies with the safety regulations and operating procedures of the coal yard, and detect whether there are unauthorized personnel entering dangerous areas or sensitive areas; on the other hand, evaluate whether the personnel's operating behavior complies with the operating procedures and safety requirements of the equipment, so as to detect whether there are any illegal operations or misoperations; on the third hand, analyze whether the number and distribution of personnel in each work area are reasonable, and detect whether there are any abnormal gathering or evacuation of personnel.

[0049] It can be seen that in the embodiment of the present application, when the type of the target object to be monitored is equipment, the equipment operation status analysis is performed based on the coal yard monitoring image to determine the equipment operation analysis result. When the type of the target object to be monitored is personnel, personnel behavior extraction is performed based on the coal yard monitoring image to determine the personnel walking trajectory, personnel operation behavior and personnel work area, and personnel work status analysis is performed based on the personnel walking trajectory, personnel operation behavior and personnel work area to determine the personnel work analysis result. Finally, the equipment operation analysis result and the personnel work analysis result are combined to obtain the behavior analysis result. By real-time monitoring and analysis of the operating status of the equipment, the potential safety hazards of the equipment can be predicted, which helps to reduce the probability of safety accidents. At the same time, by monitoring and analyzing the behavior of personnel, the operating behavior of personnel can be standardized to prevent accidents caused by improper operation and enhance the safety management level of the coal yard.

[0050] Furthermore, in order to save time and transportation costs, avoid technicians personally entering the coal yard site where there may be danger or complex environment, and reduce the risk of safety accidents, in the embodiment of the present application, after obtaining the infrared thermal image of the coal pile collected by the infrared thermal imager, the coal yard monitoring image collected by the image acquisition device, and the environmental monitoring data collected by the environmental monitoring device, it also includes: Obtain the 3D modeling data corresponding to the coal yard of the thermal power plant, construct the model based on the 3D modeling data, and obtain an initial 3D model; Based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data, the initial 3D model is rendered in real time to obtain the 3D model of the coal yard of the thermal power plant. Virtual reality technology is used to display the three-dimensional model of the coal yard of a thermal power plant to facilitate remote inspection of the coal yard of the thermal power plant.

[0051] For the embodiment of the present application, the three-dimensional modeling data corresponding to the coal yard of the thermal power plant is obtained. The three-dimensional modeling data includes but is not limited to: on-site survey data, coal yard design drawings, construction drawings and other related materials. The three-dimensional modeling data usually includes information such as the plane layout, equipment layout, and building structure of the coal yard, which is an important reference for building a three-dimensional model. Preferably, preprocessing is performed based on the three-dimensional modeling data. The preprocessing is used to remove redundant and erroneous information, and to convert the data format and unify the coordinates to ensure that all data are in the same coordinate system. Then, a three-dimensional modeling software is used to build a model based on the three-dimensional modeling data to obtain an initial three-dimensional model. The three-dimensional modeling software can provide a wealth of modeling tools and precise computing capabilities to meet the modeling needs of different scales. The initial three-dimensional model can truly and accurately reflect the actual structural conditions of the coal yard of the thermal power plant, so that management personnel can more clearly understand the overall situation of the coal yard.

[0052] Furthermore, data mapping is performed based on the infrared thermal image of the coal pile, the coal yard monitoring image, the environmental monitoring data and the initial three-dimensional model, that is, according to the spatial position and attribute information of the data, the temperature distribution of the coal pile, the real-time image of the coal yard, and the environmental parameters are accurately mapped to the corresponding position of the initial three-dimensional model. Then, the rendering engine is controlled to render the initial three-dimensional model in real time according to the infrared thermal image of the coal pile, the coal yard monitoring image, and the environmental monitoring data to obtain a three-dimensional model of the coal yard of the thermal power plant. The three-dimensional model of the coal yard of the thermal power plant is a dynamic model that can display the current operating status of the coal yard of the thermal power plant in real time. The specific implementation method of the real-time rendering is no longer limited in the embodiment of the present application. In an achievable method, based on the temperature data in the infrared thermal image of the coal pile, the corresponding coal pile model in the initial three-dimensional model is rendered into a color that can show the temperature situation; based on the coal yard monitoring image, the corresponding equipment model and personnel model in the initial three-dimensional model are rendered into the current working state; based on the environmental monitoring data, the corresponding sensor model in the initial three-dimensional model is marked with the corresponding environmental monitoring data. Finally, virtual reality technology is used to display the three-dimensional model of the coal yard of a thermal power plant, so that the coal yard of the thermal power plant can support remote inspection. The application of this virtual reality technology allows managers to wear virtual reality head-mounted displays (VR helmets) and other virtual reality devices to immerse themselves in the virtual environment of the coal yard of the thermal power plant for remote inspection. Remote inspection allows technicians to complete inspection operations without having to go to the site, which not only saves time and transportation costs, but also avoids technicians from personally entering the coal yard site where there may be dangers or complex environments, reducing the risk of safety accidents.

[0053] It can be seen that in the embodiment of the present application, the three-dimensional modeling data corresponding to the coal yard of the thermal power plant is obtained, and the model is constructed based on the three-dimensional modeling data to obtain an initial three-dimensional model. Then, based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data, the initial three-dimensional model is rendered in real time to obtain a three-dimensional model of the coal yard of the thermal power plant. Finally, the three-dimensional model of the coal yard of the thermal power plant is displayed using virtual reality technology to facilitate remote inspection of the coal yard of the thermal power plant. Remote inspection enables technicians to complete inspection operations without arriving at the site, which not only saves time and transportation costs, but also avoids technicians from personally entering the coal yard site where there may be dangers or complex environments, thereby reducing the risk of safety accidents.

[0054] Furthermore, in order to ensure the effectiveness and safety of the emergency measures, in the embodiment of the present application, after the emergency measures information is sent to the corresponding linkage device to control the linkage device to automatically execute the emergency measures, the following is further included: When the emergency measures are completed, the drone is controlled to fly to the emergency response target location to collect multi-dimensional information; Acquire the multi-dimensional information sent by the drone, conduct emergency response effect evaluation based on the multi-dimensional information, and determine the effect evaluation result, wherein the multi-dimensional information includes: high-definition images after emergency measures, infrared thermal images after emergency measures, and environmental data after emergency measures.

[0055] For the embodiments of the present application, after the emergency measures are executed, in order to ensure the effectiveness and safety of the emergency measures, it is necessary to monitor and evaluate the emergency response target location in real time to evaluate whether the on-site situation after the emergency measures is safe. Therefore, after the emergency measures are executed, the drone is controlled to fly to the emergency response target location for multi-dimensional information collection, wherein the emergency response target location is the location where the emergency measures are executed. The drone is equipped with a variety of environmental sensors, such as gas detectors, temperature and humidity sensors, infrared thermal imagers, and high-definition cameras. Therefore, after the drone flies to the emergency response target location, it will use the various environmental sensors it carries to collect multi-dimensional information.

[0056] Furthermore, the multi-dimensional information is transmitted between the drone and the electronic device through wireless communication so that the electronic device can receive the multi-dimensional information in time. Then, the emergency response effect is evaluated based on the multi-dimensional information to determine the effect evaluation result, wherein the effect evaluation result includes: the emergency effect meets the standard and the emergency effect does not meet the standard. The implementation process of the emergency response effect evaluation is as follows: based on the high-definition image after the emergency measures are analyzed, the relevant features reflecting the emergency effect are extracted, and the high-definition image evaluation result is determined based on the comparison of the relevant features and the emergency response effect evaluation standard. For example, if the emergency measure is to control the opening of the sprinkler, then the relevant feature can be the current working state of the sprinkler (on or off) or the ground condition of the sprinkler area; if the emergency measure is to control the opening of the exhaust and smoke exhaust device, then the relevant feature can be the current working state of the exhaust and smoke exhaust device (on or off). Based on the infrared thermal map after the emergency measures, the temperature distribution analysis is performed to determine the temperature data of the emergency response target position, and the infrared thermal map evaluation result is determined based on the comparison of the temperature data of the emergency response target position and the corresponding normal temperature range. Based on the concentration of harmful gases and dust in the environmental data after the emergency measures, it is compared with the corresponding normal environmental data to determine the environmental data evaluation result. Only when the high-definition image assessment results, infrared thermal map assessment results and environmental data assessment results are all up to standard, will the effect assessment result be determined as that the emergency effect meets the standard; otherwise, the effect assessment result is determined as that the emergency effect does not meet the standard.

[0057] It can be seen that in the embodiment of the present application, in order to ensure the effectiveness and safety of emergency measures, it is necessary to monitor and evaluate the emergency response target location in real time to evaluate whether the on-site situation after the emergency measures are safe. Therefore, after the emergency measures are completed, the drone is controlled to fly to the emergency response target location to collect multi-dimensional information, and the emergency response effect is evaluated based on the multi-dimensional information to determine the effect evaluation result.

[0058] Furthermore, in order to identify the potential safety hazards in the coal pile and coal yard environment and take preventive measures in advance to reduce the losses caused by safety accidents, in the embodiment of the present application, a multi-dimensional safety monitoring analysis is performed based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data. After determining the multi-dimensional safety monitoring analysis result, it also includes: When the multi-dimensional safety monitoring analysis result is normal, obtain historical infrared thermal images and historical environmental monitoring data, predict the temperature trend of the coal pile based on the historical infrared thermal images and the infrared thermal images of the coal pile, and determine the temperature prediction data; Conduct environmental data trend forecasts based on historical environmental monitoring data and environmental monitoring data to determine environmental forecast data; Conduct potential risk analysis based on temperature prediction data and environmental prediction data to determine potential risk information.

[0059] For the embodiment of the present application, when the result of the multi-dimensional safety monitoring analysis is normal, it indicates that the current working condition of the coal yard of the thermal power plant is normal. However, the normal monitoring result at the current moment does not mean that there are no potential risks in the coal yard of the thermal power plant. In order to facilitate managers to take preventive measures in advance and reduce the risk of safety accidents such as spontaneous combustion of coal piles, coal pile temperature trend prediction and environmental data trend prediction are performed to grasp the changing rules of coal pile temperature and the changing trend of the coal yard in the future. After that, potential risk analysis is performed to help identify potential safety hazards in the coal pile and coal yard environment and take preventive measures in advance to reduce the losses caused by safety accidents.

[0060] Specifically, when the result of the multi-dimensional safety monitoring analysis is normal, the historical infrared thermal map and the historical environmental monitoring data are obtained, the historical infrared thermal map is all the historical infrared thermal maps within the preset time length before the current moment, and the historical environmental monitoring data is all the historical environmental monitoring data within the preset time length before the current moment. Then, the temperature trend of the coal pile is predicted based on the historical infrared thermal map and the infrared thermal map of the coal pile, and the temperature prediction data is determined, that is, the infrared thermal map of the coal pile of the current coal pile is compared with the historical infrared thermal map, and the changes in the temperature distribution are observed. The changes include but are not limited to: the moving direction of the highest temperature point, the changes in temperature acceleration, etc., the size, shape and temperature changes of the temperature abnormality area, and then, based on the changes in the temperature distribution, the future change trend of the coal pile temperature is predicted to determine the temperature prediction data, which includes but is not limited to: the highest temperature prediction value, the average temperature prediction value and the temperature change trend of the future period.

[0061] Based on historical environmental monitoring data and environmental monitoring data, environmental data trend forecasting is performed to determine environmental forecasting data. The specific implementation process for environmental data trend forecasting is as follows: based on historical environmental monitoring data and environmental monitoring data, charts are drawn, such as line charts, bar charts, etc., and trend analysis is performed based on the drawn environmental data charts to determine the trend and periodicity of environmental data changes, and environmental data trend forecasting is performed based on the environmental data charts, the trend and periodicity corresponding to the data, and environmental forecasting data is determined, wherein the environmental forecasting data includes but is not limited to: the highest concentration forecast value, the lowest concentration forecast value, the average concentration forecast value, and the concentration change trend.

[0062] Finally, a potential risk analysis is performed based on the temperature prediction data and the environmental prediction data to determine the potential risk information, that is, the temperature prediction data is compared with the high temperature abnormal temperature threshold, and the environmental prediction data is compared with the environmental data safety threshold. When the average temperature prediction value is higher than the high temperature abnormal temperature threshold, it is determined that there is a high temperature risk; when the average concentration prediction value is higher than the environmental data safety threshold, it is determined that there is an environmental abnormality risk.

[0063] It can be seen that in the embodiment of the present application, in order to facilitate management personnel to take preventive measures in advance and reduce the risk of safety accidents such as spontaneous combustion of coal piles, when the result of the multi-dimensional safety monitoring analysis is normal, the temperature trend of the coal pile is predicted based on the historical infrared thermal map and the infrared thermal map of the coal pile to determine the temperature prediction data, and the environmental data trend is predicted based on the historical environmental monitoring data and the environmental monitoring data to determine the environmental prediction data. Furthermore, a potential risk analysis is performed based on the temperature prediction data and the environmental prediction data to determine the potential risk information. Performing a potential risk analysis helps to identify potential safety hazards in the coal pile and coal yard environment and take preventive measures in advance to reduce the losses caused by safety accidents.

[0064] The above embodiment introduces an intelligent safety monitoring method for a coal yard of a thermal power plant from the perspective of a method flow, and the following embodiment introduces an intelligent safety monitoring system for a coal yard of a thermal power plant from the perspective of a virtual module or a virtual unit. For details, please refer to the following embodiment.

[0065] The present application embodiment provides an intelligent safety monitoring system for a coal yard of a thermal power plant, such as Figure 2 As shown, the intelligent safety monitoring system of the coal yard of the thermal power plant may specifically include: The information acquisition module 210 is used to acquire the infrared thermal image of the coal pile collected by the infrared thermal imager, the coal yard monitoring image collected by the image acquisition device, and the environmental monitoring data collected by the environmental monitoring device; The safety monitoring and analysis module 220 is used to perform multi-dimensional safety monitoring and analysis based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data, and determine the multi-dimensional safety monitoring and analysis results; The emergency processing analysis module 230 is used to perform emergency processing analysis based on abnormal data, determine emergency measures information, and send the emergency measures information to the corresponding linkage device to control the linkage device to automatically execute emergency measures when the multi-dimensional security monitoring analysis result is abnormal. The abnormal data is data that is detected to deviate from the normal range in the multi-dimensional security monitoring analysis.

[0066] For the embodiment of the present application, the infrared thermal image of the coal pile collected by the infrared thermal imager, the coal yard monitoring image collected by the image acquisition device, and the environmental monitoring data collected by the environmental monitoring device are obtained, and a multi-dimensional safety monitoring analysis is performed based on the infrared thermal image of the coal pile, the coal yard monitoring image, and the environmental monitoring data to determine the multi-dimensional safety monitoring analysis result. When the result of the multi-dimensional safety monitoring analysis is abnormal, an emergency processing analysis is performed based on the abnormal data, the emergency measures information is determined, and the emergency measures information is sent to the corresponding linkage device to control the linkage device to automatically execute the emergency measures. In the process of safety monitoring of the coal yard of a thermal power plant, the impact of multiple factors such as coal pile temperature, personnel behavior, equipment operation status, harmful gas and dust concentration on the safety of the coal yard of a thermal power plant is considered at the same time, that is, by integrating multiple monitoring means and data resources, a multi-dimensional monitoring and analysis of the safety of the coal yard is realized, which solves the limitations of the single monitoring method in the relevant technology, and improves the efficiency of discovering and handling safety hazards, providing strong technical support for the safety management of the coal yard of a thermal power plant.

[0067] In a possible implementation of the embodiment of the present application, the safety monitoring and analysis module 220, when performing multi-dimensional safety monitoring and analysis based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data, and determining the multi-dimensional safety monitoring and analysis result, is used to: Preprocessing is performed based on the infrared thermal image of the coal pile to obtain a preprocessed infrared thermal image, and temperature distribution analysis is performed on the preprocessed infrared thermal image using an image processing algorithm to determine a first area and a second area; Acquire a high temperature abnormal temperature threshold, perform temperature abnormality detection based on the temperature data corresponding to the first area and the high temperature abnormal temperature threshold, determine the temperature abnormality detection result, and perform uniformity analysis based on the first area and the second area to determine the temperature uniformity analysis result; Performing target recognition based on the coal yard monitoring image to determine the target object to be monitored, wherein the types of the target object to be monitored include: personnel and equipment; and performing behavior analysis based on the target object to be monitored to determine the behavior analysis result; Conduct environmental safety analysis based on environmental monitoring data, determine the environmental safety analysis results, integrate temperature anomaly detection results, temperature uniformity analysis results, behavior analysis results and environmental safety analysis results, and obtain multi-dimensional safety monitoring analysis results.

[0068] In a possible implementation of the embodiment of the present application, when the security monitoring and analysis module 220 performs behavior analysis based on the target object to be monitored and determines the behavior analysis result, it is used to: When the type of the target object to be monitored is equipment, the equipment operation status analysis is performed based on the coal yard monitoring image to determine the equipment operation analysis result; When the type of the target object to be monitored is a person, the person's behavior is extracted based on the coal yard monitoring image to determine the person's walking trajectory, person's operating behavior and person's working area; Analyze personnel work status based on personnel walking trajectories, personnel operation behaviors and personnel work areas, and determine personnel work analysis results; The behavior analysis results are obtained by integrating the equipment operation analysis results and the personnel work analysis results.

[0069] A possible implementation of the embodiment of the present application is an intelligent safety monitoring system for a coal yard of a thermal power plant, further comprising: A model building module is used to obtain the three-dimensional modeling data corresponding to the coal yard of the thermal power plant, build a model based on the three-dimensional modeling data, and obtain an initial three-dimensional model; Based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data, the initial 3D model is rendered in real time to obtain the 3D model of the coal yard of the thermal power plant. Virtual reality technology is used to display the three-dimensional model of the coal yard of a thermal power plant to facilitate remote inspection of the coal yard of the thermal power plant.

[0070] A possible implementation of the embodiment of the present application is an intelligent safety monitoring system for a coal yard of a thermal power plant, further comprising: The effect evaluation module is used to control the drone to fly to the emergency response target location to collect multi-dimensional information after the emergency measures are completed; Acquire the multi-dimensional information sent by the drone, conduct emergency response effect evaluation based on the multi-dimensional information, and determine the effect evaluation result, wherein the multi-dimensional information includes: high-definition images after emergency measures, infrared thermal images after emergency measures, and environmental data after emergency measures.

[0071] A possible implementation of the embodiment of the present application is an intelligent safety monitoring system for a coal yard of a thermal power plant, further comprising: Potential risk analysis module, which is used to obtain historical infrared thermal images and historical environmental monitoring data when the multi-dimensional safety monitoring analysis results are normal, and to predict the temperature trend of the coal pile based on the historical infrared thermal images and the infrared thermal images of the coal pile, and determine the temperature prediction data; Conduct environmental data trend forecasts based on historical environmental monitoring data and environmental monitoring data to determine environmental forecast data; Conduct potential risk analysis based on temperature prediction data and environmental prediction data to determine potential risk information.

[0072] Technical personnel in the relevant field can clearly understand that, for the convenience and simplicity of description, the specific working process of the intelligent safety monitoring system for a coal yard of a thermal power plant described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0073] An electronic device is provided in an embodiment of the present application, such as Figure 3 As shown, Figure 3 The electronic device 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0074] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0075] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but it does not mean that there is only one bus or only one type of bus.

[0076] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0077] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0078] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0079] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0080] The embodiment of the present application provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the method in any of the above embodiments is implemented. Compared with the related art, the embodiment of the present application obtains the infrared thermal image of the coal pile collected by the infrared thermal imager, the coal yard monitoring image collected by the image acquisition device, and the environmental monitoring data collected by the environmental monitoring device, and performs multi-dimensional safety monitoring analysis based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data, and determines the multi-dimensional safety monitoring analysis result. When the multi-dimensional safety monitoring analysis result is abnormal, an emergency processing analysis is performed based on the abnormal data, the emergency measure information is determined, and the emergency measure information is sent to the corresponding linkage device to control the linkage device to automatically execute the emergency measure. In the process of safety monitoring of the coal yard of a thermal power plant, the impact of multiple factors such as coal pile temperature, personnel behavior, equipment operation status, harmful gas and dust concentration on the safety of the coal yard of a thermal power plant is considered at the same time, that is, by integrating multiple monitoring means and data resources, a multi-dimensional monitoring and analysis of the safety of the coal yard is realized, the limitations of the single monitoring method in the related art are solved, and the efficiency of discovering and handling safety hazards is improved, which provides strong technical support for the safety management of the coal yard of a thermal power plant.

[0081] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0082] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. An intelligent safety monitoring method for a coal yard in a thermal power plant, characterized in that: include: Obtain infrared thermal images of coal piles collected by infrared thermal imagers, coal yard monitoring images collected by image acquisition equipment, and environmental monitoring data collected by environmental monitoring equipment; Perform multi-dimensional safety monitoring analysis based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data, and determine the multi-dimensional safety monitoring analysis result; When the result of the multi-dimensional safety monitoring and analysis is abnormal, an emergency processing analysis is performed based on the abnormal data, emergency measures information is determined, and the emergency measures information is sent to the corresponding linkage device to control the linkage device to automatically execute emergency measures, wherein the abnormal data is data detected to deviate from the normal range in the multi-dimensional safety monitoring and analysis.

2. The intelligent safety monitoring method for a coal yard of a thermal power plant according to claim 1 is characterized in that: The multi-dimensional safety monitoring analysis is performed based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data to determine the multi-dimensional safety monitoring analysis result, including: Preprocessing is performed based on the infrared thermal image of the coal pile to obtain a preprocessed infrared thermal image, and temperature distribution analysis is performed on the preprocessed infrared thermal image using an image processing algorithm to determine a first area and a second area; Acquire a high temperature abnormal temperature threshold, perform temperature abnormality detection based on the temperature data corresponding to the first area and the high temperature abnormal temperature threshold, determine a temperature abnormality detection result, and perform uniformity analysis based on the first area and the second area to determine a temperature uniformity analysis result; Performing target recognition based on the coal yard monitoring image to determine the target object to be monitored, wherein the types of the target object to be monitored include: personnel and equipment; and performing behavior analysis based on the target object to be monitored to determine the behavior analysis result; An environmental safety analysis is performed based on the environmental monitoring data to determine the environmental safety analysis result, and the temperature anomaly detection result, the temperature uniformity analysis result, the behavior analysis result and the environmental safety analysis result are integrated to obtain a multi-dimensional safety monitoring analysis result.

3. The intelligent safety monitoring method for a coal yard of a thermal power plant according to claim 2 is characterized in that: The step of performing behavior analysis based on the target object to be monitored and determining a behavior analysis result includes: When the type of the target object to be monitored is equipment, performing equipment operation status analysis based on the coal yard monitoring image to determine the equipment operation analysis result; When the type of the target object to be monitored is a person, personnel behavior extraction is performed based on the coal yard monitoring image to determine the walking trajectory, operating behavior and working area of ​​the person; Performing personnel work status analysis based on the personnel's walking trajectory, the personnel's operating behavior, and the personnel's working area, and determining the personnel work analysis result; The equipment operation analysis results and the personnel work analysis results are combined to obtain a behavior analysis result.

4. The intelligent safety monitoring method for a coal yard of a thermal power plant according to claim 1 is characterized in that: After obtaining the infrared thermal image of the coal pile collected by the infrared thermal imager, the coal yard monitoring image collected by the image acquisition device, and the environmental monitoring data collected by the environmental monitoring device, the method further includes: Acquire three-dimensional modeling data corresponding to the coal yard of a thermal power plant, and construct a model based on the three-dimensional modeling data to obtain an initial three-dimensional model; Based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data, the initial three-dimensional model is rendered in real time to obtain a three-dimensional model of the coal yard of the thermal power plant; The three-dimensional model of the coal yard of the thermal power plant is displayed using virtual reality technology, so that the coal yard of the thermal power plant can support remote inspection.

5. The intelligent safety monitoring method for a coal yard of a thermal power plant according to claim 1 is characterized in that: After sending the emergency measure information to the corresponding linkage device to control the linkage device to automatically execute the emergency measure, the method further includes: When the emergency measures are completed, the drone is controlled to fly to the emergency response target location to collect multi-dimensional information; The multi-dimensional information sent by the drone is obtained, and an emergency response effect evaluation is performed based on the multi-dimensional information to determine the effect evaluation result, wherein the multi-dimensional information includes: high-definition images after emergency measures, infrared thermal images after emergency measures, and environmental data after emergency measures.

6. The intelligent safety monitoring method for a coal yard of a thermal power plant according to claim 1, characterized in that: After performing multi-dimensional safety monitoring analysis based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data and determining the multi-dimensional safety monitoring analysis result, the method further includes: When the multi-dimensional safety monitoring analysis result is normal, historical infrared thermal images and historical environmental monitoring data are obtained, and the temperature trend of the coal pile is predicted based on the historical infrared thermal images and the infrared thermal images of the coal pile to determine the temperature prediction data; Performing environmental data trend prediction based on the historical environmental monitoring data and the environmental monitoring data to determine environmental prediction data; A potential risk analysis is performed based on the temperature prediction data and the environment prediction data to determine potential risk information.

7. An intelligent safety monitoring system for a coal yard in a thermal power plant, characterized in that: include: An information acquisition module is used to acquire infrared thermal images of coal piles collected by infrared thermal imagers, coal yard monitoring images collected by image acquisition equipment, and environmental monitoring data collected by environmental monitoring equipment; A safety monitoring and analysis module, used to perform multi-dimensional safety monitoring and analysis based on the infrared thermal image of the coal pile, the coal yard monitoring image and the environmental monitoring data, and determine the multi-dimensional safety monitoring and analysis results; The emergency processing analysis module is used to perform emergency processing analysis based on abnormal data, determine emergency measures information, and send the emergency measures information to the corresponding linkage device to control the linkage device to automatically execute emergency measures when the multi-dimensional safety monitoring analysis result is abnormal. The abnormal data is data that deviates from the normal range detected in the multi-dimensional safety monitoring analysis.

8. An electronic device, characterized in that: include: at least one processor; Memory; At least one application, wherein at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the intelligent safety monitoring method for a coal yard of a thermal power plant as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed in a computer, the computer is caused to execute the intelligent safety monitoring method for a coal yard of a thermal power plant as described in any one of claims 1 to 6.

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