Coal yard safety monitoring method, device and equipment and readable storage medium

Abstract

The invention relates to a coal yard safety monitoring method, device and equipment and a readable storage medium, and belongs to the technical field of safety monitoring. The monitoring information comprises infrared thermal image information of all coal piles, side wall temperature parameters of all coal retaining walls, infrared thermal image information of belt open fire coal and gas parameters, smoke body parameters and dust parameters of all positions in a coal yard; the coal storage information comprises storage time, type and stock of each coal pile; and based on the monitoring information and the coal storage information, whether abnormal information exists in the coal yard is judged, and if the abnormal information exists in the coal yard, corresponding alarm information is generated according to the abnormal information. The method has the effect of improving the safety of the coal yard.

Description

Technical Field

[0001] The present invention relates to the field of safety monitoring technology, and in particular to a coal yard safety monitoring method, device, equipment and readable storage medium. Background Art

[0002] With the development of economy and society and the demand for environmental protection, closed coal yards with small footprint and low environmental pollution have been increasingly used in thermal power plants. While the coal piles in the closed coal yards continue to volatilize combustible gases and coal dust, they are also constantly undergoing oxidation reactions to generate heat. Due to the high density of coal piles, the heat and polluting gases or coal dust are difficult to remove in time, and the risk of spontaneous combustion or explosion of coal piles exists from time to time.

[0003] The monitoring data of various areas of the coal yard are uniformly transmitted and displayed in the coal yard monitoring center, and are monitored in real time by the monitoring personnel in the coal yard monitoring center. However, if the monitoring personnel in the coal yard monitoring center leave or fall asleep, monitoring and reminder cannot be carried out, resulting in a situation where there is no monitoring personnel in the coal yard monitoring center for a long time, posing a safety hazard. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a coal yard safety monitoring method, device, equipment and readable storage medium, aiming to solve at least one of the above technical problems.

[0005] The technical solution of the present invention to solve the above technical problems is as follows:

[0006] In the first aspect, the present application provides a coal yard safety monitoring method, which adopts the following technical solution:

[0007] A coal yard safety monitoring method, comprising:

[0008] Acquire monitoring information and coal storage information in the coal yard, the monitoring information includes infrared thermal image information of all coal piles, side wall temperature parameters of all coal retaining walls, infrared thermal image information of all belt open fire coals, and gas parameters, smoke parameters and dust parameters at various locations in the coal yard; the coal storage information includes storage time, type and inventory of each coal pile;

[0009] Based on the monitoring information and the coal storage information, it is determined whether there is abnormal information in the coal yard. If there is abnormal information in the coal yard, corresponding alarm information is generated according to the abnormal information.

[0010] The beneficial effect of the present invention is that by real-time monitoring of various parameters in the coal yard, potential safety hazards in the coal yard can be discovered in time, such as spontaneous combustion of coal piles, open flame coal during belt transportation, and accumulation of harmful gases. Monitoring the storage of coal in the coal yard facilitates understanding the storage time and type of coal piles, which can better manage coal resources and avoid the risk of spontaneous combustion caused by long-term accumulation. It also helps to reasonably arrange the entry and exit of coal. When an abnormality is detected, an alarm message can be generated immediately, allowing management personnel to respond and deal with the problem quickly, thereby improving the efficiency of dealing with potential safety hazards.

[0011] Based on the above technical solution, the present invention can also be improved as follows.

[0012] Further, judging whether there is abnormal information in the coal yard based on the monitoring information and the coal storage information includes:

[0013] The determining whether there is abnormal information in the coal yard based on the monitoring information and the coal storage information includes:

[0014] Based on the coal storage information and preset modeling rules, a three-dimensional coal stacking model of the coal yard is generated, wherein the three-dimensional coal stacking model is used to display the stacking position, volume, inventory and stacking time of various types of coal in the coal yard;

[0015] Performing spatial matching between the monitoring information and the three-dimensional model of coal stacking to generate a monitoring data model of the coal yard, wherein the monitoring data model is used to display the monitoring information in the coal yard in real time;

[0016] Based on the monitoring data model and current environmental information, a threshold combination is obtained from a preset indicator threshold database, wherein the threshold combination includes thresholds corresponding to monitoring information of various monitoring types in the coal yard, and the indicator threshold database is established based on historical monitoring information of the coal yard;

[0017] Based on the monitoring data model and the threshold combination, abnormal information of the coal yard is determined, and the abnormal information is displayed in the monitoring data model.

[0018] The beneficial effect of adopting the above further scheme is: the monitoring information and coal stacking status are displayed in the form of a three-dimensional model, which not only enables managers to intuitively understand the overall situation of the coal yard, but also clearly see the specific location of abnormal information in the coal yard. The visual display method helps to quickly locate problems and improve the speed of emergency response. By combining the three-dimensional model of coal stacking and current environmental information, a threshold combination that matches the actual situation is obtained from the indicator threshold database, so that it can be more accurately judged whether there is an abnormality in the coal yard. The judgment method based on the three-dimensional model and dynamic threshold can better adapt to the complex and changeable environmental conditions of the coal yard.

[0019] Further, the determining of abnormal information of the coal yard based on the monitoring data model and the threshold combination includes:

[0020] For any of the coal piles in the monitoring data model, based on the type of the coal pile, the current storage time of the coal pile is compared with the corresponding storage time threshold, and if the current storage time exceeds the corresponding storage time threshold, it is determined that the coal yard has a first abnormality;

[0021] Based on the infrared thermal image information of each of the coal piles in the monitoring data model, determining a plurality of surface temperature parameters corresponding to each of the coal piles;

[0022] For any of the coal piles in the monitoring data model, based on the type of the coal pile, all surface temperature parameters corresponding to the coal pile are compared with the corresponding first temperature thresholds respectively, and if any of the surface temperature parameters exceeds the corresponding first temperature threshold, it is determined that the coal yard has a second abnormality;

[0023] Comparing the side wall temperature parameters of all coal retaining walls in the monitoring data model with the second temperature threshold respectively, and if any of the side wall temperature parameters exceeds the second temperature threshold, determining that the coal yard has a third abnormality;

[0024] Based on the infrared thermal image information of the open-fire coal on all belts in the monitoring data model, determine the temperature parameters of the open-fire coal corresponding to each belt;

[0025] For any belt in the monitoring data model, based on the type of open-fire coal on the belt, a corresponding open-fire coal temperature parameter on the belt is compared with a corresponding third temperature threshold, and if the open-fire coal temperature parameter exceeds the corresponding third temperature threshold, it is determined that a fourth abnormality exists in the coal yard;

[0026] Compare the gas parameters at each position in the monitoring data model with the gas concentration threshold respectively, and if any of the gas parameters exceeds the gas concentration threshold, determine that the coal yard has a fifth anomaly;

[0027] Comparing the smoke parameters at each position in the monitoring data model with the smoke concentration threshold respectively, and if any of the smoke parameters exceeds the smoke concentration threshold, determining that the coal yard has a sixth abnormality;

[0028] Comparing the dust parameters at each position in the monitoring data model with the dust concentration threshold respectively, and if any of the dust parameters exceeds the dust concentration threshold, determining that the coal yard has the seventh abnormality;

[0029] Based on the first abnormality, the second abnormality, the third abnormality, the fourth abnormality, the fifth abnormality, the sixth abnormality and the seventh abnormality, abnormal information of the coal yard is determined.

[0030] The beneficial effect of adopting the above further scheme is: by monitoring and comparing multiple dimensions such as the storage time of the coal pile, surface temperature, side wall temperature of the coal retaining wall, belt open flame coal temperature, gas parameters, smoke parameters and dust parameters, it is possible to comprehensively cover various abnormal situations that may exist in the coal yard. Potential safety hazards are discovered and dealt with in a timely manner. Different storage time thresholds, temperature thresholds, gas concentration thresholds, smoke concentration thresholds and dust concentration thresholds are set according to different factors such as the type of coal pile and the type of open flame coal on the belt. This flexible threshold setting can better adapt to the complex and changeable environmental conditions of the coal yard and improve the accuracy and reliability of abnormal judgment.

[0031] Further, the generating corresponding warning information according to the abnormal information includes:

[0032] If the abnormal information is a first abnormality, determining at least one target coal pile corresponding to the first abnormality, and generating first alarm information according to the locations and current storage durations of all the target coal piles;

[0033] If the abnormal information is a second abnormality, determining at least one target surface temperature parameter corresponding to the second abnormality, and generating second alarm information according to the temperature regions corresponding to all the target surface temperature parameters;

[0034] If the abnormal information is the third abnormality, determining at least one target sidewall temperature parameter corresponding to the third abnormality, determining a corresponding sidewall area in the monitoring data model according to a position of a sidewall temperature monitoring device corresponding to each target sidewall temperature parameter, and generating a third warning information according to all the sidewall areas;

[0035] If the abnormal information is the fourth abnormality, determining at least one target open flame temperature parameter corresponding to the fourth abnormality, determining the corresponding belt position in the monitoring data model according to the position of the open flame coal temperature monitoring device corresponding to each target open flame temperature parameter, and generating fourth alarm information according to all belt positions;

[0036] If the abnormality is the fifth abnormality, determining at least one target gas parameter corresponding to the fifth abnormality, and generating fifth alarm information according to the location of the gas monitoring device corresponding to each target gas parameter;

[0037] If the abnormality is the sixth abnormality, determining at least one target smoke parameter corresponding to the sixth abnormality, and generating sixth alarm information according to the location of the smoke monitoring device corresponding to each target smoke parameter;

[0038] If the abnormality is the seventh abnormality, at least one target dust parameter corresponding to the seventh abnormality is determined, and according to the location of the dust monitoring device corresponding to each target dust parameter, the seventh alarm information is generated.

[0039] The beneficial effect of adopting the above further solution is that each abnormal information generates specific and accurate alarm information for its specific problem point and impact range, which helps managers to directly locate the source of the problem, reduce troubleshooting time and improve processing efficiency.

[0040] Further, after generating corresponding warning information according to the abnormal information, the method further includes:

[0041] According to a preset area division rule, the three-dimensional model of coal stacking is divided to obtain multiple areas of the coal yard;

[0042] Based on the warning information, determining at least one target area where abnormal information exists from all the areas;

[0043] Generate a processing strategy based on the corresponding abnormal information in each target area and the three-dimensional model of coal stacking, and start the processing equipment in the corresponding target area based on the processing strategy; wherein the processing equipment includes any one or a combination of a sprinkler, a ventilation device and a fire extinguishing device;

[0044] Determine the abnormality priority of each area based on the corresponding abnormal information in each target area and the three-dimensional model of coal stacking;

[0045] Based on the abnormal priority of each of the target areas, inspection information is generated to remind staff to conduct inspections.

[0046] The beneficial effect of adopting the above further scheme is that by dividing the coal stacking three-dimensional model into regions, the coal yard is divided into multiple management areas, which helps to achieve regional management. This management method can locate the problem area more accurately, reduce invalid inspections, and improve management efficiency. Once the target area with abnormal information is determined, a processing strategy is immediately generated based on the abnormal information and coal storage information of the area, and the corresponding processing equipment is started. This rapid response and automatic processing mechanism can quickly control abnormal situations, prevent the situation from escalating, and ensure the safety of the coal yard.

[0047] By determining the abnormality priority of each target area, inspection and processing resources can be allocated more reasonably. Prioritize the abnormalities in high-priority areas to ensure the safety and stability of key areas, while optimizing the overall management effect.

[0048] Furthermore, the method for establishing the indicator threshold database includes:

[0049] For any type of coal mine, obtain the historical monitoring data of the coal mine in the coal yard, the historical monitoring data includes abnormal data, timestamp and environmental factors when any abnormality occurs, the environmental factors include weather conditions, temperature and season;

[0050] For each monitoring type, a characteristic curve of the monitoring type changing over time under different weather conditions, temperatures and seasons is constructed based on historical data;

[0051] For each monitoring type, based on the abnormal data of the monitoring type in the historical monitoring data and each of the characteristic curves, determine the thresholds of different environmental factors corresponding to the monitoring type;

[0052] The indicator threshold database is established based on the thresholds of different environmental factors corresponding to all monitoring types corresponding to various coal mines.

[0053] The beneficial effect of adopting the above further scheme is: a comprehensive indicator threshold database is established, providing rich data support for coal yard managers. Considering the impact of environmental factors such as weather, temperature and season on monitoring data, the threshold constructed by this method has better environmental adaptability. Under different environments, the trend and range of monitoring data will be different. The use of thresholds with strong environmental adaptability can more accurately reflect the actual situation and improve the practicality of the early warning system.

[0054] Further, determining the abnormality priority of each area based on the corresponding abnormal information in each target area and the three-dimensional model of coal stacking includes:

[0055] Determining the amount of coal in each target area based on the three-dimensional model of coal stacking;

[0056] According to the abnormality type in each of the target areas and the preset abnormality type priority, the target areas are sorted to obtain a first sorting result, the priority of the second abnormality, the third abnormality, the fourth abnormality and the fifth abnormality is higher than the priority of the sixth abnormality and the seventh abnormality, the priority of the sixth abnormality and the seventh abnormality is higher than the priority of the first abnormality, the second abnormality, the third abnormality, the fourth abnormality and the fifth abnormality have the same priority, and the sixth abnormality and the seventh abnormality have the same priority;

[0057] sorting the target areas according to the amount of coal in each target area to obtain a second sorting result;

[0058] Sorting the target areas according to the sum of the areas of the abnormal areas corresponding to the abnormal types in each target area to obtain a third sorting result;

[0059] Based on the first sorting result, the second sorting result and the third sorting result of each of the target areas, an abnormality priority of each of the target areas is determined.

[0060] The beneficial effect of adopting the above further solution is that by comprehensively considering multiple factors such as coal quantity, abnormality type and priority, and abnormal area distribution, the severity and urgency of abnormalities in each target area can be more accurately assessed. This helps managers prioritize those areas with the greatest impact and highest risk on coal yard operations, thereby improving the pertinence and efficiency of abnormal handling. After determining the abnormality priority of each target area, the coal yard can reasonably allocate resources such as manpower, material resources and time. For high-priority areas, more resources can be invested to quickly solve the problem.

[0061] In the second aspect, the present application provides a coal yard safety monitoring device, which adopts the following technical solution:

[0062] A coal yard safety monitoring device, comprising:

[0063] An acquisition module is used to acquire monitoring information and coal storage information in the coal yard, wherein the monitoring information includes infrared thermal image information of all coal piles, side wall temperature parameters of all coal retaining walls, infrared thermal image information of all belt open fire coals, and gas parameters, smoke parameters, and dust parameters at various locations in the coal yard; the coal storage information includes the storage time, type, and inventory of each coal pile;

[0064] A judgment module, used for judging whether there is abnormal information in the coal yard based on the monitoring information and the coal storage information, and if there is abnormal information in the coal yard, switching to an alarm module;

[0065] The alarm module is used to generate corresponding alarm information according to the abnormal information.

[0066] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0067] An electronic device comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the coal yard safety monitoring method described in any one of the first aspects.

[0068] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0069] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute the coal yard safety monitoring method described in any one of the first aspects.

[0070] Additional aspects and advantages of the present application will be partially given in the following description, which will become apparent from the following description, or will be understood through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 A schematic flow chart of a coal yard safety monitoring method provided by an embodiment of the present invention;

[0072] Figure 2 A schematic structural diagram of a coal yard safety monitoring device provided by an embodiment of the present invention;

[0073] Figure 3 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0074] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments 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 this field without creative work are within the scope of protection of this application.

[0075] 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.

[0076] An embodiment of the present application provides a coal yard safety monitoring method, which can be executed by an electronic device, which can be a server or a mobile terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services; the mobile terminal device can be a laptop computer, a desktop computer, etc., but is not limited to this.

[0077] like Figure 1 As shown, a coal yard safety monitoring method includes:

[0078] Step S1, obtaining monitoring information and coal storage information in the coal yard, wherein the monitoring information includes infrared thermal image information of all coal piles, side wall temperature parameters of all coal retaining walls, infrared thermal image information of all belt open fire coals, and gas parameters, smoke parameters, and dust parameters at various locations in the coal yard; the coal storage information includes storage time, type, and inventory of each coal pile;

[0079] In the implementation mode of the present application, combustible gas, harmful gas and dust concentration detection devices are installed on the coal yard horseway platform in the coal yard. The horizontal coverage of each group of sensors is not less than 15m*15m, and the distance between two probes cannot be greater than 10m. Each group of probes consists of 1 CO probe, 1 CH4 probe, 1 flue gas probe and 1 temperature probe. A total of 60 groups of probes are installed in the entire coal yard, including 60 CO probes, 60 CH4 probes and 60 flue gas probes. At the same time, 1 set of dust concentration detection devices is set for every 4 groups of detectors, with a total of 15 dust concentration detection devices. The signals of the hazardous gas detection device and the dust concentration detection device are collected by the intelligent controller arranged on site, converted into digital quantities and entered into the PLC host through the industrial bus. The PLC host is connected to the coal yard safety platform through the industrial Ethernet to realize information sharing.

[0080] The side wall temperature parameters are measured by the wall temperature detection rods installed on the coal retaining wall of the coal yard. The temperature measurement points of the coal retaining wall of the coal yard are evenly distributed on the wall of the coal retaining wall. One wall temperature detection is set at about 15 meters of the coal retaining wall. The temperature measurement points are installed according to the height of the coal retaining wall. Every 8 wall temperature detection rods communicate with a regional control controller on site through the industrial bus, and then transmit the data to the PLC host. There are 120 wall temperature detection rods in the coal yard. The intelligent controllers of each area communicate with the dual redundant CPU of the coal yard safety platform.

[0081] The surface temperature of the coal pile is measured accurately by using an infrared thermal imager, and the accessories are installed on the symmetrical arrangement of the horseway above the steel structure of the coal yard for scanning. The infrared thermal imager is used as a temperature sensor to measure the surface temperature of the coal pile, and the spatial positioning control mechanism is used as the action carrier. The equipment monitors the temperature changes on the surface of the coal pile and accurately determines the location of the high temperature point.

[0082] The infrared thermal image information of the open fire coal on the belt is collected by the open fire coal monitoring device. The open fire coal monitoring device mainly uses infrared thermal imager scanning and multi-point positioning sensing technology to accurately monitor and locate the "hot spots" of the moving coal on the coal conveyor belt.

[0083] Step S2: based on the monitoring information and the coal storage information, determine whether there is abnormal information in the coal yard; if there is abnormal information in the coal yard, generate corresponding alarm information according to the abnormal information.

[0084] In the implementation manner of the present application, the form of the alarm information includes any one or any combination of the following: an alarm prompt, a voice prompt, a text message prompt, and an email prompt.

[0085] In the implementation manner of the present application, specifically, judging whether there is abnormal information in the coal yard based on the monitoring information and the coal storage information mainly includes the following sub-steps:

[0086] Step S21, based on the coal storage information and preset modeling rules, generating a three-dimensional coal stacking model of the coal yard, wherein the three-dimensional coal stacking model is used to display the stacking position, volume, inventory and stacking time of various types of coal in the coal yard;

[0087] Step S22, spatially matching the monitoring information with the coal stacking three-dimensional model to generate a monitoring data model of the coal yard, wherein the monitoring data model is used to display the monitoring information in the coal yard in real time;

[0088] Step S23, based on the monitoring data model and the current environmental information, a threshold combination is obtained from a preset indicator threshold database, wherein the threshold combination includes thresholds corresponding to monitoring information of various monitoring types in the coal yard, and the indicator threshold database is established based on historical monitoring information of the coal yard; the indicator threshold database contains normal fluctuation ranges and comparison thresholds of various monitoring types corresponding to various coal mine types under different weather, temperature, seasons and other conditions.

[0089] Step S24: determining abnormal information of the coal yard based on the monitoring data model and the threshold combination, and displaying the abnormal information in the monitoring data model.

[0090] In the above implementation, the preset modeling rules include the shape, size ratio and color coding of the coal stacking, etc. First, the electronic generates a three-dimensional model of the coal stacking in the coal yard in the three-dimensional modeling software through the coal storage information and the preset modeling rules. The three-dimensional model of the coal stacking can intuitively display the position, shape, size and monitoring type of each coal pile in the coal yard. Then, according to the current environmental information and the monitoring type (such as temperature, humidity, gas concentration, etc.) and coal type in the three-dimensional model of the coal stacking, the corresponding threshold combination is queried from the preset indicator threshold database.

[0091] Afterwards, the monitoring information collected by the sensors installed at the monitoring points in each area of ​​the coal yard is spatially matched with the three-dimensional model of coal stacking, the location of the monitoring point is mapped to the corresponding location in the three-dimensional model, and the monitoring data of the monitoring point is marked in the model. Finally, the monitoring data in the monitoring data model is compared with the threshold combination to determine whether there is abnormal information in the coal yard. The determined abnormal information is marked in the three-dimensional model of coal stacking, and the abnormal information is displayed by changing the color of the abnormal area, adding a warning icon, or popping up a prompt box.

[0092] By displaying the monitoring information and coal stacking status in the form of a three-dimensional model, managers can not only intuitively understand the overall situation of the coal yard, but also clearly see the specific location of abnormal information in the coal yard. Visual display helps to quickly locate problems and improve emergency response speed. By combining the three-dimensional model of coal stacking and current environmental information, and obtaining a threshold combination that matches the actual situation from the indicator threshold database, it is possible to more accurately determine whether there is an abnormality in the coal yard. The judgment method based on the three-dimensional model and dynamic threshold can better adapt to the complex and changeable environmental conditions of the coal yard.

[0093] The method for establishing the indicator threshold database includes:

[0094] First, the electronic device obtains historical monitoring data of each coal mine in the coal yard, wherein the historical monitoring data includes abnormal data, timestamps, and environmental factors when any abnormality occurs, wherein the environmental factors include weather conditions, temperature, and season;

[0095] Afterwards, for each monitoring type, a characteristic curve of the monitoring type changing over time under different weather conditions, different temperatures and different seasons is constructed based on historical data; statistical analysis, data mining or machine learning methods may be used to construct the characteristic curve.

[0096] Afterwards, for each monitoring type, based on the abnormal data of the monitoring type in the historical monitoring data and each of the characteristic curves, the threshold value of the monitoring type corresponding to different environmental factors is determined. In the embodiment of the present application, fuzzy logic, the abnormal data of the monitoring type and each of the characteristic curves can be used to determine the threshold value of the monitoring type corresponding to different environmental factors;

[0097] Finally, based on the thresholds of different environmental factors corresponding to all monitoring types corresponding to various coal mines, the indicator threshold database is established.

[0098] By considering the impact of environmental factors such as weather, temperature and season on monitoring data, the threshold constructed by this method has better environmental adaptability. Under different environments, the trend and range of monitoring data will be different. The use of thresholds with strong environmental adaptability can more accurately reflect the actual situation and improve the practicality of the early warning system.

[0099] In the implementation manner of the present application, specifically, determining the abnormal information of the coal yard based on the monitoring data model and the threshold combination mainly includes:

[0100] For any of the coal piles in the monitoring data model, based on the type of the coal pile, the current storage time of the coal pile is compared with the corresponding storage time threshold, and if the current storage time exceeds the corresponding storage time threshold, it is determined that the coal yard has a first abnormality;

[0101] Based on the infrared thermal image information of each of the coal piles in the monitoring data model, determining a plurality of surface temperature parameters corresponding to each of the coal piles;

[0102] For any of the coal piles in the monitoring data model, based on the type of the coal pile, all surface temperature parameters corresponding to the coal pile are compared with the corresponding first temperature thresholds respectively, and if any of the surface temperature parameters exceeds the corresponding first temperature threshold, it is determined that the coal yard has a second abnormality;

[0103] Comparing the side wall temperature parameters of all coal retaining walls in the monitoring data model with the second temperature threshold respectively, and if any of the side wall temperature parameters exceeds the second temperature threshold, determining that the coal yard has a third abnormality;

[0104] Based on the infrared thermal image information of the open-fire coal on all belts in the monitoring data model, determine the temperature parameters of the open-fire coal corresponding to each belt;

[0105] For any belt in the monitoring data model, based on the type of open-fire coal on the belt, a corresponding open-fire coal temperature parameter on the belt is compared with a corresponding third temperature threshold, and if the open-fire coal temperature parameter exceeds the corresponding third temperature threshold, it is determined that a fourth abnormality exists in the coal yard;

[0106] Compare the gas parameters at each position in the monitoring data model with the gas concentration threshold respectively, and if any of the gas parameters exceeds the gas concentration threshold, determine that the coal yard has a fifth anomaly;

[0107] Comparing the smoke parameters at each position in the monitoring data model with the smoke concentration threshold respectively, and if any of the smoke parameters exceeds the smoke concentration threshold, determining that the coal yard has a sixth abnormality;

[0108] Comparing the dust parameters at each position in the monitoring data model with the dust concentration threshold respectively, and if any of the dust parameters exceeds the dust concentration threshold, determining that the coal yard has the seventh abnormality;

[0109] Based on the first abnormality, the second abnormality, the third abnormality, the fourth abnormality, the fifth abnormality, the sixth abnormality and the seventh abnormality, abnormal information of the coal yard is determined.

[0110] By monitoring and comparing multiple dimensions such as the storage time of the coal pile, surface temperature, side wall temperature of the coal retaining wall, belt open fire coal temperature, gas parameters, smoke parameters and dust parameters, it can fully cover various abnormal conditions that may exist in the coal yard.

[0111] In the implementation manner of the present application, corresponding alarm information is generated according to the abnormal information, including:

[0112] If the abnormal information is the first abnormality, at least one target coal pile corresponding to the first abnormality is determined, and a first alarm information is generated based on the locations and current storage time of all the target coal piles. The first alarm information can be text information, a highlighted display on a graphical interface, or a sound alarm, etc.

[0113] If the abnormal information is the second abnormality, at least one target surface temperature parameter corresponding to the second abnormality is determined, and a second alarm information is generated based on the temperature areas corresponding to all the target surface temperature parameters. The second alarm information can be used to mark the abnormal area with a specific color or icon in the monitoring model, and send detailed alarm information to relevant personnel.

[0114] If the abnormal information is the third abnormality, determine at least one target side wall temperature parameter corresponding to the third abnormality, determine the corresponding side wall area in the monitoring data model according to the position of the side wall temperature monitoring equipment corresponding to each target side wall temperature parameter, and generate a third warning information based on all the side wall areas. The third alarm information can be used to mark the side wall of the coal retaining wall in the monitoring data model.

[0115] If the abnormal information is the fourth abnormality, determine at least one target open flame temperature parameter corresponding to the fourth abnormality, determine the corresponding belt position in the monitoring data model according to the location of the open flame coal temperature monitoring equipment corresponding to each target open flame temperature parameter, and generate a fourth alarm information based on all belt positions. The fourth alarm information can be used to mark the abnormal belt position in the monitoring data model.

[0116] If the abnormality is the fifth abnormality, determine at least one target gas parameter corresponding to the fifth abnormality, and generate a fifth alarm message based on the location of the gas monitoring equipment corresponding to each target gas parameter. The fifth alarm message may be an area marked with the target gas parameter in the monitoring data model.

[0117] If the abnormality is the sixth abnormality, at least one target smoke parameter corresponding to the sixth abnormality is determined, and a sixth alarm message is generated according to the location of the smoke monitoring device corresponding to each target smoke parameter. The sixth alarm message may be an area where the target smoke parameter is marked in the monitoring data model.

[0118] If the abnormality is the seventh abnormality, determine at least one target dust parameter corresponding to the seventh abnormality, and generate the seventh alarm information according to the location of the dust monitoring equipment corresponding to each target dust parameter. The seventh alarm information may be an area marked with the target dust parameter in the monitoring data model.

[0119] Each type of abnormal information is targeted at its specific problem point and impact range, generating specific and accurate alarm information, which helps managers directly locate the source of the problem, reduce troubleshooting time, and improve processing efficiency.

[0120] As another optional implementation in the embodiment of the present application, after generating corresponding alarm information according to the abnormal information, the method further includes steps S31 to S35:

[0121] Step S31, dividing the coal stacking three-dimensional model according to a preset area division rule to obtain multiple areas of the coal yard;

[0122] Step S32, based on the alarm information, determining at least one target area where abnormal information exists from all the areas;

[0123] Step S33, generating a processing strategy based on the corresponding abnormal information in each target area and the three-dimensional model of coal stacking, and starting the processing equipment in the corresponding target area based on the processing strategy; wherein the processing equipment includes any one or a combination of a sprinkler, a ventilation device and a fire extinguishing device;

[0124] Step S34, determining the abnormality priority of each area based on the corresponding abnormal information in each target area and the three-dimensional model of coal stacking;

[0125] Step S35, based on the abnormality priority of each target area, generate inspection information to remind the staff to conduct inspections. The inspection information should include the location of the target area, abnormality type, abnormality description, processing strategy recommendations, and inspection priority.

[0126] In the implementation mode of the present application, the three-dimensional model of the coal pile can be divided into multiple areas according to the size of the preset grid, and multiple processing equipment is arranged in each area. The electronic device determines multiple processing equipment to be started according to the location of the target area, and then selects the target equipment from the multiple processing equipment to be started according to the abnormal information to handle the abnormality. For example, for a coal pile with too high surface temperature (the second abnormality), the spray device is started to cool it down, and the angle and water spray volume of the nozzle are adjusted according to the abnormal information. For areas where the gas concentration exceeds the standard (the fifth abnormality), the ventilation equipment can be started for ventilation.

[0127] At the same time, inspection information is generated according to the abnormal priority of each target area, and sent to relevant staff by SMS, email and system notification, so that the staff can arrange human resources for inspection according to the abnormal priority of the target area.

[0128] In the implementation manner of the present application, specifically, based on the corresponding abnormal information in each target area and the three-dimensional model of coal stacking, determining the abnormal priority of each area includes:

[0129] Determining the amount of coal in each target area based on the three-dimensional model of coal stacking;

[0130] According to the abnormality type in each of the target areas and the preset abnormality type priority, the target areas are sorted to obtain a first sorting result, the priority of the second abnormality, the third abnormality, the fourth abnormality and the fifth abnormality is higher than the priority of the sixth abnormality and the seventh abnormality, the priority of the sixth abnormality and the seventh abnormality is higher than the priority of the first abnormality, the second abnormality, the third abnormality, the fourth abnormality and the fifth abnormality have the same priority, and the sixth abnormality and the seventh abnormality have the same priority;

[0131] According to the amount of coal in each target area, the target areas are sorted to obtain a second sorting result; the area with a larger amount of coal has a greater loss and impact once an abnormality occurs, so the priority should be higher;

[0132] The target areas are sorted according to the sum of the areas of the abnormal areas corresponding to the abnormal types in each target area to obtain a third sorting result; an area with a larger sum of the areas of the abnormal areas indicates that there are multiple or widespread abnormalities in the area at the same time, and a higher priority is required to be processed.

[0133] Based on the first sorting result, the second sorting result and the third sorting result of each of the target areas, an abnormality priority of each of the target areas is determined.

[0134] In the implementation mode of the present application, the priorities of different abnormal types are set according to the safety level. The second abnormality (abnormal surface temperature of the coal pile), the third abnormality (abnormal side wall temperature of the coal retaining wall), the fourth abnormality (abnormal belt open fire coal temperature) and the fifth abnormality (abnormal gas concentration) are directly leading to fire or serious safety problems. The priorities of different abnormal types can also be set in other ways, and are not limited to this.

[0135] By dividing the coal yard into multiple management areas by dividing the coal stacking 3D model, it is helpful to achieve regional management. This management method can locate the problem area more accurately, reduce invalid inspections, and improve management efficiency. By comprehensively considering multiple factors such as coal quantity, abnormality type and priority, and abnormal area distribution, the severity and urgency of the abnormality in each target area can be more accurately assessed, so that inspections can be carried out according to the abnormality priority of each target area or more human resources can be matched to quickly solve the problem.

[0136] Once the target area with abnormal information is determined, a processing strategy is immediately generated based on the abnormal information and coal storage information in the area, and the corresponding processing equipment is started. This rapid response and automatic processing mechanism can quickly control abnormal situations, prevent the situation from escalating, and ensure the safety of the coal yard.

[0137] Figure 2 A schematic structural diagram of a coal yard safety monitoring device 200 provided in one embodiment of the present invention.

[0138] like Figure 2 As shown, the coal yard safety monitoring device 200 mainly includes:

[0139] The acquisition module 201 is used to acquire monitoring information and coal storage information in the coal yard, wherein the monitoring information includes infrared thermal image information of all coal piles, side wall temperature parameters of all coal retaining walls, infrared thermal image information of all belt open fire coals, and gas parameters, smoke parameters and dust parameters at various locations in the coal yard; the coal storage information includes storage time, type and inventory of each coal pile;

[0140] A judgment module 202 is used to judge whether there is abnormal information in the coal yard based on the monitoring information and the coal storage information. If there is abnormal information in the coal yard, the process proceeds to the alarm module 203;

[0141] The alarm module 203 is used to generate corresponding alarm information according to the abnormal information.

[0142] Optionally, the determination module 202 includes:

[0143] A three-dimensional model generation submodule, for generating a three-dimensional model of coal stacking in the coal yard based on the coal storage information and preset modeling rules, wherein the three-dimensional model of coal stacking is used to display the stacking position, volume, inventory and stacking time of various types of coal in the coal yard;

[0144] A matching submodule, used for spatially matching the monitoring information with the three-dimensional model of coal stacking, and generating a monitoring data model of the coal yard, wherein the monitoring data model is used for displaying the monitoring information in the coal yard in real time;

[0145] A threshold combination acquisition submodule is used to acquire a threshold combination from a preset indicator threshold database based on the monitoring data model and current environmental information, wherein the threshold combination includes thresholds corresponding to monitoring information of various monitoring types in the coal yard, and the indicator threshold database is established based on historical monitoring information of the coal yard;

[0146] The determination submodule is used to determine the abnormal information of the coal yard based on the monitoring data model and the threshold combination, and display the abnormal information in the monitoring data model.

[0147] Optionally, determine the submodules used to:

[0148] For any of the coal piles in the monitoring data model, based on the type of the coal pile, the current storage time of the coal pile is compared with the corresponding storage time threshold, and if the current storage time exceeds the corresponding storage time threshold, it is determined that the coal yard has a first abnormality;

[0149] Based on the infrared thermal image information of each of the coal piles in the monitoring data model, determining a plurality of surface temperature parameters corresponding to each of the coal piles;

[0150] For any of the coal piles in the monitoring data model, based on the type of the coal pile, all surface temperature parameters corresponding to the coal pile are compared with the corresponding first temperature thresholds respectively, and if any of the surface temperature parameters exceeds the corresponding first temperature threshold, it is determined that the coal yard has a second abnormality;

[0151] Comparing the side wall temperature parameters of all coal retaining walls in the monitoring data model with the second temperature threshold respectively, and if any of the side wall temperature parameters exceeds the second temperature threshold, determining that the coal yard has a third abnormality;

[0152] Based on the infrared thermal image information of the open-fire coal on all belts in the monitoring data model, determine the temperature parameters of the open-fire coal corresponding to each belt;

[0153] For any belt in the monitoring data model, based on the type of open-fire coal on the belt, a corresponding open-fire coal temperature parameter on the belt is compared with a corresponding third temperature threshold, and if the open-fire coal temperature parameter exceeds the corresponding third temperature threshold, it is determined that a fourth abnormality exists in the coal yard;

[0154] Compare the gas parameters at each position in the monitoring data model with the gas concentration threshold respectively, and if any of the gas parameters exceeds the gas concentration threshold, determine that the coal yard has a fifth anomaly;

[0155] Comparing the smoke parameters at each position in the monitoring data model with the smoke concentration threshold respectively, and if any of the smoke parameters exceeds the smoke concentration threshold, determining that the coal yard has a sixth abnormality;

[0156] Comparing the dust parameters at each position in the monitoring data model with the dust concentration threshold respectively, and if any of the dust parameters exceeds the dust concentration threshold, determining that the coal yard has the seventh abnormality;

[0157] Based on the first abnormality, the second abnormality, the third abnormality, the fourth abnormality, the fifth abnormality, the sixth abnormality and the seventh abnormality, abnormal information of the coal yard is determined.

[0158] Optionally, the alarm module 203 is specifically used for:

[0159] If the abnormal information is a first abnormality, determining at least one target coal pile corresponding to the first abnormality, and generating first alarm information according to the locations and current storage durations of all the target coal piles;

[0160] If the abnormal information is a second abnormality, determining at least one target surface temperature parameter corresponding to the second abnormality, and generating second alarm information according to the temperature regions corresponding to all the target surface temperature parameters;

[0161] If the abnormal information is the third abnormality, determining at least one target sidewall temperature parameter corresponding to the third abnormality, determining a corresponding sidewall area in the monitoring data model according to a position of a sidewall temperature monitoring device corresponding to each target sidewall temperature parameter, and generating a third warning information according to all the sidewall areas;

[0162] If the abnormal information is the fourth abnormality, determining at least one target open flame temperature parameter corresponding to the fourth abnormality, determining the corresponding belt position in the monitoring data model according to the position of the open flame coal temperature monitoring device corresponding to each target open flame temperature parameter, and generating fourth alarm information according to all belt positions;

[0163] If the abnormality is the fifth abnormality, determining at least one target gas parameter corresponding to the fifth abnormality, and generating fifth alarm information according to the location of the gas monitoring device corresponding to each target gas parameter;

[0164] If the abnormality is the sixth abnormality, determining at least one target smoke parameter corresponding to the sixth abnormality, and generating sixth alarm information according to the location of the smoke monitoring device corresponding to each target smoke parameter;

[0165] If the abnormality is the seventh abnormality, at least one target dust parameter corresponding to the seventh abnormality is determined, and according to the location of the dust monitoring device corresponding to each target dust parameter, the seventh alarm information is generated.

[0166] Optional, threshold combination acquisition submodule, specifically used for:

[0167] For any type of coal mine, obtain the historical monitoring data of the coal mine in the coal yard, the historical monitoring data includes abnormal data, timestamp and environmental factors when any abnormality occurs, the environmental factors include weather conditions, temperature and season;

[0168] For each monitoring type, a characteristic curve of the monitoring type changing over time under different weather conditions, temperatures and seasons is constructed based on historical data;

[0169] For each monitoring type, based on the abnormal data of the monitoring type in the historical monitoring data and each of the characteristic curves, determine the thresholds of different environmental factors corresponding to the monitoring type;

[0170] The indicator threshold database is established based on the thresholds of different environmental factors corresponding to all monitoring types corresponding to various coal mines.

[0171] Optionally, a coal yard safety monitoring device 200 further includes a processing module, and the processing module includes:

[0172] A division submodule, configured to divide the three-dimensional model of coal stacking into multiple areas of the coal yard according to a preset area division rule after generating corresponding alarm information according to the abnormal information;

[0173] A target area determination submodule, configured to determine at least one target area of ​​the existing abnormal information from all the areas based on the alarm information;

[0174] A processing strategy generation submodule is used to generate a processing strategy based on the corresponding abnormal information in each target area and the three-dimensional model of coal stacking, and start the processing equipment in the corresponding target area based on the processing strategy; wherein the processing equipment includes any one or a combination of a sprinkler, a ventilation device and a fire extinguishing device;

[0175] A priority determination submodule, for determining the abnormality priority of each area based on the corresponding abnormality information in each of the target areas and the three-dimensional model of coal stacking;

[0176] The inspection information generation submodule is used to generate inspection information based on the abnormal priority of each target area to remind the staff to conduct inspections.

[0177] Optional, priority determination submodule, specifically used for:

[0178] Determining the amount of coal in each target area based on the three-dimensional model of coal stacking;

[0179] According to the abnormality type in each of the target areas and the preset abnormality type priority, the target areas are sorted to obtain a first sorting result, the priority of the second abnormality, the third abnormality, the fourth abnormality and the fifth abnormality is higher than the priority of the sixth abnormality and the seventh abnormality, the priority of the sixth abnormality and the seventh abnormality is higher than the priority of the first abnormality, the second abnormality, the third abnormality, the fourth abnormality and the fifth abnormality have the same priority, and the sixth abnormality and the seventh abnormality have the same priority;

[0180] sorting the target areas according to the amount of coal in each target area to obtain a second sorting result;

[0181] Sorting the target areas according to the sum of the areas of the abnormal areas corresponding to the abnormal types in each target area to obtain a third sorting result;

[0182] Based on the first sorting result, the second sorting result and the third sorting result of each of the target areas, an abnormality priority of each of the target areas is determined.

[0183] In one example, the module in any of the above devices can be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or, one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0184] For another example, when the modules in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0185] Various objects such as various messages / information / equipment / network elements / systems / devices / actions / operations / processes / concepts that may appear in this application are named. It can be understood that these specific names do not constitute a limitation on the relevant objects. The names assigned may change with factors such as scenarios, contexts or usage habits. The understanding of the technical meaning of the technical terms in this application should be mainly determined from the functions and technical effects embodied / executed in the technical scheme.

[0186] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and modules described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0187] Figure 3 This is a structural block diagram of an electronic device 300 according to an embodiment of the present application.

[0188] like Figure 3As shown, the electronic device 300 includes a processor 301 and a memory 302 , and may further include one or more of an information input / information output (I / O) interface 303 and a communication component 304 .

[0189] The processor 301 is used to control the overall operation of the electronic device 300 to complete all or part of the steps in the above-mentioned coal yard safety monitoring method; the memory 302 is used to store various types of data to support the operation of the electronic device 300, and these data may include, for example, instructions for any application or method used to operate on the electronic device 300, and data related to the application. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0190] The I / O interface 303 provides an interface between the processor 301 and other interface modules, and the above-mentioned other interface modules can be keyboards, mice, buttons, etc. These buttons can be virtual buttons or physical buttons. The communication component 304 is used to test the wired or wireless communication between the electronic device 300 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 304 can include: Wi-Fi components, Bluetooth components, NFC components.

[0191] The communication bus 305 may include a path to transmit information between the above components. The communication bus 305 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 305 may be divided into an address bus, a data bus, a control bus, etc.

[0192] The electronic device 300 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the coal yard safety monitoring method given in the above embodiment.

[0193] The computer-readable storage medium provided in the embodiment of the present application is introduced below. The computer-readable storage medium described below and the coal yard safety monitoring method described above can be referenced to each other.

[0194] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned coal yard safety monitoring method are implemented.

[0195] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0196] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.

[0197] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.

Claims

1. A coal yard safety monitoring method, characterized in that: include: Acquire monitoring information and coal storage information in the coal yard, the monitoring information includes infrared thermal image information of all coal piles, side wall temperature parameters of all coal retaining walls, infrared thermal image information of all belt open fire coals, and gas parameters, smoke parameters and dust parameters at various locations in the coal yard; the coal storage information includes storage time, type and inventory of each coal pile; Based on the monitoring information and the coal storage information, it is determined whether there is abnormal information in the coal yard. If there is abnormal information in the coal yard, corresponding alarm information is generated according to the abnormal information.

2. A coal yard safety monitoring method according to claim 1, characterized in that: The determining whether there is abnormal information in the coal yard based on the monitoring information and the coal storage information includes: Based on the coal storage information and preset modeling rules, a three-dimensional coal stacking model of the coal yard is generated, wherein the three-dimensional coal stacking model is used to display the stacking position, volume, inventory and stacking time of various types of coal in the coal yard; Performing spatial matching between the monitoring information and the three-dimensional model of coal stacking to generate a monitoring data model of the coal yard, wherein the monitoring data model is used to display the monitoring information in the coal yard in real time; Based on the monitoring data model and current environmental information, a threshold combination is obtained from a preset indicator threshold database, wherein the threshold combination includes thresholds corresponding to monitoring information of various monitoring types in the coal yard, and the indicator threshold database is established based on historical monitoring information of the coal yard; Based on the monitoring data model and the threshold combination, abnormal information of the coal yard is determined, and the abnormal information is displayed in the monitoring data model.

3. A coal yard safety monitoring method according to claim 2, characterized in that: The determining of abnormal information of the coal yard based on the monitoring data model and the threshold combination includes: For any of the coal piles in the monitoring data model, based on the type of the coal pile, the current storage time of the coal pile is compared with the corresponding storage time threshold, and if the current storage time exceeds the corresponding storage time threshold, it is determined that the coal yard has a first abnormality; Based on the infrared thermal image information of each of the coal piles in the monitoring data model, determining a plurality of surface temperature parameters corresponding to each of the coal piles; For any of the coal piles in the monitoring data model, based on the type of the coal pile, all surface temperature parameters corresponding to the coal pile are compared with the corresponding first temperature thresholds respectively, and if any of the surface temperature parameters exceeds the corresponding first temperature threshold, it is determined that the coal yard has a second abnormality; Comparing the side wall temperature parameters of all coal retaining walls in the monitoring data model with the second temperature threshold respectively, and if any of the side wall temperature parameters exceeds the second temperature threshold, determining that the coal yard has a third abnormality; Based on the infrared thermal image information of the open-fire coal on all belts in the monitoring data model, determine the temperature parameters of the open-fire coal corresponding to each belt; For any belt in the monitoring data model, based on the type of open-fire coal on the belt, a corresponding open-fire coal temperature parameter on the belt is compared with a corresponding third temperature threshold, and if the open-fire coal temperature parameter exceeds the corresponding third temperature threshold, it is determined that a fourth abnormality exists in the coal yard; Compare the gas parameters at each position in the monitoring data model with the gas concentration threshold respectively, and if any of the gas parameters exceeds the gas concentration threshold, determine that the coal yard has a fifth anomaly; Comparing the smoke parameters at each position in the monitoring data model with the smoke concentration threshold respectively, and if any of the smoke parameters exceeds the smoke concentration threshold, determining that the coal yard has a sixth abnormality; Comparing the dust parameters at each position in the monitoring data model with the dust concentration threshold respectively, and if any of the dust parameters exceeds the dust concentration threshold, determining that the coal yard has the seventh abnormality; Based on the first abnormality, the second abnormality, the third abnormality, the fourth abnormality, the fifth abnormality, the sixth abnormality and the seventh abnormality, abnormal information of the coal yard is determined.

4. A coal yard safety monitoring method according to claim 3, characterized in that: The generating corresponding alarm information according to the abnormal information includes: If the abnormal information is a first abnormality, determining at least one target coal pile corresponding to the first abnormality, and generating first alarm information according to the locations and current storage durations of all the target coal piles; If the abnormal information is a second abnormality, determining at least one target surface temperature parameter corresponding to the second abnormality, and generating second alarm information according to the temperature regions corresponding to all the target surface temperature parameters; If the abnormal information is the third abnormality, determining at least one target sidewall temperature parameter corresponding to the third abnormality, determining a corresponding sidewall area in the monitoring data model according to a position of a sidewall temperature monitoring device corresponding to each target sidewall temperature parameter, and generating a third warning information according to all the sidewall areas; If the abnormal information is the fourth abnormality, determining at least one target open flame temperature parameter corresponding to the fourth abnormality, determining the corresponding belt position in the monitoring data model according to the position of the open flame coal temperature monitoring device corresponding to each target open flame temperature parameter, and generating fourth alarm information according to all belt positions; If the abnormality is the fifth abnormality, determining at least one target gas parameter corresponding to the fifth abnormality, and generating fifth alarm information according to the location of the gas monitoring device corresponding to each target gas parameter; If the abnormality is the sixth abnormality, determining at least one target smoke parameter corresponding to the sixth abnormality, and generating sixth alarm information according to the location of the smoke monitoring device corresponding to each target smoke parameter; If the abnormality is the seventh abnormality, at least one target dust parameter corresponding to the seventh abnormality is determined, and according to the location of the dust monitoring device corresponding to each target dust parameter, the seventh alarm information is generated.

5. A coal yard safety monitoring method according to claim 4, characterized in that: After generating corresponding alarm information according to the abnormal information, the method further includes: According to a preset area division rule, the three-dimensional model of coal stacking is divided to obtain multiple areas of the coal yard; Based on the warning information, determining at least one target area where abnormal information exists from all the areas; Generate a processing strategy based on the corresponding abnormal information in each target area and the three-dimensional model of coal stacking, and start the processing equipment in the corresponding target area based on the processing strategy; wherein the processing equipment includes any one or a combination of a sprinkler, a ventilation device and a fire extinguishing device; Determine the abnormality priority of each area based on the corresponding abnormal information in each target area and the three-dimensional model of coal stacking; Based on the abnormal priority of each of the target areas, inspection information is generated to remind staff to conduct inspections.

6. A coal yard safety monitoring method according to claim 2, characterized in that: The method for establishing the indicator threshold database comprises: For any type of coal mine, obtain the historical monitoring data of the coal mine in the coal yard, the historical monitoring data includes abnormal data, timestamp and environmental factors when any abnormality occurs, the environmental factors include weather conditions, temperature and season; For each monitoring type, a characteristic curve of the monitoring type changing over time under different weather conditions, temperatures and seasons is constructed based on historical data; For each monitoring type, based on the abnormal data of the monitoring type in the historical monitoring data and each of the characteristic curves, determine the thresholds of different environmental factors corresponding to the monitoring type; The indicator threshold database is established based on the thresholds of different environmental factors corresponding to all monitoring types corresponding to various coal mines.

7. A coal yard safety monitoring method according to claim 5, characterized in that: Determining the abnormality priority of each area based on the corresponding abnormal information in each target area and the coal stacking three-dimensional model includes: Determining the amount of coal in each target area based on the three-dimensional model of coal stacking; According to the abnormality type in each of the target areas and the preset abnormality type priority, the target areas are sorted to obtain a first sorting result, the priority of the second abnormality, the third abnormality, the fourth abnormality and the fifth abnormality is higher than the priority of the sixth abnormality and the seventh abnormality, the priority of the sixth abnormality and the seventh abnormality is higher than the priority of the first abnormality, the second abnormality, the third abnormality, the fourth abnormality and the fifth abnormality have the same priority, and the sixth abnormality and the seventh abnormality have the same priority; sorting the target areas according to the amount of coal in each target area to obtain a second sorting result; Sorting the target areas according to the sum of the areas of the abnormal areas corresponding to the abnormal types in each target area to obtain a third sorting result; Based on the first sorting result, the second sorting result and the third sorting result of each of the target areas, an abnormality priority of each of the target areas is determined.

8. A coal yard safety monitoring device, characterized in that: include: An acquisition module is used to acquire monitoring information and coal storage information in the coal yard, wherein the monitoring information includes infrared thermal image information of all coal piles, side wall temperature parameters of all coal retaining walls, infrared thermal image information of all belt open fire coals, and gas parameters, smoke parameters, and dust parameters at various locations in the coal yard; the coal storage information includes the storage time, type, and inventory of each coal pile; A judgment module, used for judging whether there is abnormal information in the coal yard based on the monitoring information and the coal storage information, and if there is abnormal information in the coal yard, switching to an alarm module; The alarm module is used to generate corresponding alarm information according to the abnormal information.

9. An electronic device, characterized in that: comprising a processor coupled to a memory; The processor is configured to execute a computer program stored in the memory, so that the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The method comprises a computer program or an instruction, and when the computer program or the instruction is executed on a computer, the computer is caused to execute the method according to any one of claims 1 to 7.

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