A mine site hazard source identification and early warning method and system

Abstract

This invention discloses a method and system for identifying and warning of hazardous sources in mines, relating to the field of mine safety monitoring technology. The method includes: constructing a wireless network inspection system based on the mine inspection area, target facility coordinates, airport deployment location, and wireless communication coverage; controlling a drone to collect inspection control data of the target facilities; performing association and encapsulation on the inspection control data to generate a network inspection data packet; performing consistency verification and validity screening on the network inspection data packet according to a data verification mechanism; sending the screened network inspection data packet into a hazardous source identification model and performing joint judgment based on temperature judgment rules; performing location verification on the joint judgment result to generate a hazardous source control judgment result. This invention, by constructing a wireless network inspection system, achieves collaborative identification and accurate location of hazardous sources in mines, thereby improving the reliability of judgment and reducing data mismatch and false alarms / missed alarms.

Description

Technical Field

[0001] This invention relates to the field of mine safety monitoring technology, and in particular to a method and system for identifying and warning of hazardous sources at the mine site. Background Technology

[0002] With the continuous expansion of open-pit mines, spoil heaps, and ancillary work areas, the methods for identifying and warning of hazards at mine sites are gradually evolving from manual inspections and fixed-point monitoring to intelligent sensing, automatic identification, and collaborative early warning. Regarding issues such as slope anomalies, power transmission facility anomalies, drainage facility anomalies, fires, and intrusion by people and vehicles, related technologies are constantly being introduced, including drone inspections, visible light imaging, thermal imaging, intelligent identification models, and platform-based management methods. These technologies are combined with wireless networking to improve inspection coverage, information transmission, and early warning response capabilities in complex mining environments. This is leading to a trend towards multi-source sensing, spatial correlation, and wireless networking collaboration in the identification and early warning of hazards at mine sites.

[0003] Existing methods have some shortcomings. The visible light images, thermal images, video data, location information, and link information acquired during the inspection process lack a unified wireless network association organization and corresponding verification mechanism, which can easily lead to data mismatch, missing data, or unclear correspondence, thus affecting the accuracy of hazard identification and location determination. In addition, existing methods focus more on anomaly detection and result output, and lack joint analysis of hazard type, spatial location, affected objects, and wireless network link status. This makes it difficult to achieve warning, close reconnaissance, and verbal warning configurations that match the risk level, resulting in insufficient early warning priority, targeted response, and feedback loop. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides a method for identifying and warning of hazardous sources at the mine site to solve the problems of insufficient coordination of inspection data and weak linkage in early warning and response.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a method for identifying and issuing early warnings of hazardous sources at mine sites, comprising: constructing a wireless network inspection system based on the mine inspection area, target facility coordinates, airport deployment location, and wireless communication coverage relationship; controlling drones to collect inspection control data of target facilities; performing association encapsulation on the inspection control data to generate network inspection data packets; performing consistency verification and validity screening on the network inspection data packets according to a data verification mechanism; sending the screened network inspection data packets into a hazardous source identification model and performing joint judgment in conjunction with temperature judgment rules; performing location verification on the joint judgment results to generate hazardous source control judgment results; using the hazardous source control judgment results as the basis for early warning judgment; combining the hazardous source category, spatial location, affected objects, and network link status to perform early warning level classification; and generating corresponding reminder information, close-range reconnaissance control instructions, and verbal disposal control instructions to form a hierarchical early warning control instruction set; sending the hierarchical early warning control instruction set to drones, airports, and platforms through the wireless network inspection system; controlling drones, airports, and platforms to perform corresponding early warning linkage disposal operations; and storing the feedback data generated during the disposal process to form hazardous source early warning control results.

[0007] As a preferred embodiment of the mine site hazard identification and early warning method of the present invention, the specific steps of constructing the wireless network inspection system are as follows: The coordinates of the mine inspection area, target facilities, airport deployment location, and wireless communication coverage are organized to form the corresponding target facility coverage results. Based on the coverage correspondence results of the target facilities, a network correspondence relationship based on the wireless communication coverage relationship is established between the coordinates of the target facilities and the deployment location of the airport, forming a wireless network inspection system.

[0008] As a preferred embodiment of the mine site hazard identification and early warning method of the present invention, the specific steps for generating the network inspection data packet are as follows: The system uses a wireless network inspection system to control drones to collect inspection and control data of target facilities. The target facility coordinates, airport deployment location, wireless communication coverage relationship and inspection control data are encapsulated accordingly to generate network inspection data packets.

[0009] As a preferred embodiment of the mine site hazard identification and early warning method of the present invention, the specific steps for generating the hazard control determination result are as follows: Based on the data verification mechanism, the network inspection data packets are subjected to consistency verification and validity screening to form the screened network inspection data packets; A hazard identification model is constructed based on YOLOv8. The filtered network inspection data packets are sent into the hazard identification model and a joint judgment is performed in conjunction with temperature judgment rules to form a joint judgment result. The joint judgment results are verified by location and organized according to the coordinates of the target facilities to generate the hazard source control judgment results.

[0010] As a preferred embodiment of the mine site hazard identification and early warning method of the present invention, the specific steps of forming a hierarchical early warning control instruction set are as follows: The results of the hazard source control assessment are organized according to the coordinates of the target facilities, and the hazard source category, spatial location, affected objects and network link status are collected to form the results to be classified and assessed. Based on the results of the pending classification, the warning level is determined by combining the hazard source category, spatial location, affected objects and network link status, and the warning level determination result is formed. According to the correspondence between the early warning level determination result and the reminder information, the close reconnaissance control instruction and the verbal disposal control instruction, the instruction configuration processing is executed to form a single early warning control result; Based on the results of individual early warning control, the reminder information, close reconnaissance control instructions, and verbal response control instructions are merged to form a hierarchical early warning control instruction set.

[0011] As a preferred embodiment of the mine site hazard identification and early warning method of the present invention, the specific steps for forming the hazard source early warning and control result are as follows: The wireless network inspection system sends the hierarchical early warning and control command set to the drones, airports and platforms to form the command transmission results. Based on the command transmission results, control drones, airports, and platforms to perform corresponding early warning and linkage response operations, and generate response feedback results; The feedback results of the handling are stored and merged to form feedback data, and the hazard source early warning and control results are generated based on the feedback data.

[0012] As a preferred embodiment of the mine site hazard identification and early warning method of the present invention, the specific steps for forming a joint determination result are as follows: The visible light image data in the filtered network inspection data packets is fed into the hazard identification model to obtain the hazard category and hazard location. The thermal image data in the filtered network inspection data packets are matched with the coordinates of the target facility, and the abnormal temperature location and abnormal temperature status are obtained according to the temperature determination rules. The categories of hazards, their locations, the locations of temperature anomalies, and the states of temperature anomalies are categorized and combined to form a joint judgment result.

[0013] As a preferred embodiment of the mine site hazard identification and early warning method of the present invention, the specific steps for forming the early warning level determination result are as follows: Content whose spatial location coincides with the coordinates of the target facility is identified as directly affected content, while other content located within the target facility area is identified as indirectly affected content. The network link status that can continuously send hierarchical early warning control commands is determined as the normal link status, and the network link status that is interrupted or delayed in sending hierarchical early warning control commands is determined as the restricted link status. The items that affect people, vehicles, power lines or drainage pipes are identified as key affected items, and the remaining items are identified as general affected items. The warning level is determined by combining the category of hazard source, the content of direct or indirect impact, the status of normal or restricted links, and the key or general impact objects.

[0014] As a preferred embodiment of the mine site hazard identification and early warning method of the present invention, the graded early warning control instruction set includes content corresponding to low-level early warning, content corresponding to medium-level early warning, and content corresponding to high-level early warning.

[0015] Secondly, this invention provides a mine site hazard identification and early warning system, comprising: a network inspection module, a verification and judgment module, an early warning control module, and a linkage feedback module; the network inspection module is used to construct a wireless network inspection system based on the mine inspection area, target facility coordinates, airport deployment location, and wireless communication coverage relationship, and control drones to collect inspection control data of the target facilities, perform correlation encapsulation on the inspection control data, and generate network inspection data packets; the verification and judgment module is used to perform consistency verification and validity screening on the network inspection data packets according to the data verification mechanism, and send the screened network inspection data packets into the hazard identification model and perform linkage with temperature judgment rules. The system comprises four modules: a joint judgment module and an early warning control module. The joint judgment results are used for location verification to generate hazard source control judgment results. The early warning control module uses the hazard source control judgment results as the basis for early warning judgment, and combines the hazard source category, spatial location, affected objects, and network link status to classify early warning levels, and generates corresponding reminder information, close-range reconnaissance control instructions, and verbal disposal control instructions to form a hierarchical early warning control instruction set. The linkage feedback module sends the hierarchical early warning control instruction set to UAVs, airports, and platforms through the wireless network inspection system, controls UAVs, airports, and platforms to perform corresponding early warning linkage disposal operations, and stores the feedback data generated during the disposal process to form hazard source early warning control results.

[0016] The beneficial effects of this invention are as follows: By constructing a wireless network inspection system and performing association encapsulation, verification screening, and joint judgment on inspection control data, collaborative identification and accurate positioning of hazardous sources in the mine are achieved, thereby improving the reliability of judgment and reducing data mismatch and false alarms / missed alarms; by combining the type of hazardous source, spatial location, affected objects, and network link status to perform hierarchical early warning and coordinated handling, differentiated early warning control and feedback closed loop are achieved, thereby improving the pertinence of early warning response and the orderliness of handling. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of a method for identifying and issuing early warnings of hazards at a mine site.

[0019] Figure 2 This is a schematic diagram of a mine site hazard identification and early warning system.

[0020] Figure 3 This is a flowchart for hazard source control determination and graded early warning control.

[0021] Figure 4 This is a flowchart for early warning, coordinated response, and feedback control.

[0022] Figure 5 This is a comparison chart of the results of hazard source control assessment.

[0023] Figure 6 This is a comparison chart of the performance data of the early warning linkage closed loop. Detailed Implementation

[0024] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0025] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0026] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0027] Reference Figures 1-6 As one embodiment of the present invention, this embodiment provides a method for identifying and warning of hazardous sources at a mine site, comprising the following steps: S1. Based on the mine inspection area, target facility coordinates, airport deployment location and wireless communication coverage relationship, construct a wireless network inspection system, control drones to collect inspection control data of target facilities, perform association encapsulation on the inspection control data, and generate network inspection data packets.

[0028] S1.1 Organize the coordinates of the mine inspection area, target facilities, airport deployment location and wireless communication coverage to form the target facility coverage correspondence results.

[0029] It should be noted that the boundary of the mine inspection area is confirmed, and the coordinates of target facilities located within the mine inspection area are extracted and collected; the location of each airport deployment location is matched with the coordinates of each target facility to obtain the location correspondence between the coordinates of each target facility and the deployment location of each airport; based on the wireless communication coverage relationship, the location correspondence between the coordinates of each target facility and the deployment location of each airport is checked for coverage, and the coordinates of target facilities that can maintain wireless communication access are established with the corresponding airport deployment location, while the coordinates of target facilities that cannot maintain wireless communication access are distinguished and marked in the location correspondence relationship; according to the correspondence between the target facility coordinates, airport deployment locations, and wireless communication coverage relationships, the target facilities within the mine inspection area are uniformly organized to form the target facility coverage correspondence result.

[0030] When extracting and collecting the coordinates of target facilities, the target facility area corresponding to each target facility coordinate is determined simultaneously. The target facility area is the area where the target facility itself is located, corresponding to the target facility coordinates, and is used to characterize the actual coverage area or corresponding coverage area of ​​the target facility in the inspection screen. Specifically, for point-shaped target facilities, the target facility area is a local coverage area with the target facility coordinates as the positioning center; for linear target facilities, the target facility area is a continuous coverage area formed along the extension direction of the target facility; for area-shaped target facilities, the target facility area is the overall coverage area corresponding to the target facility itself. Subsequent position verification between the location of the hazard source, the location of the temperature anomaly, and the target facility coordinates all use the target facility area corresponding to the target facility coordinates as the position reference range.

[0031] S1.2 Based on the target facility coverage correspondence results, establish a network correspondence between the target facility coordinates and the airport deployment location based on the wireless communication coverage relationship, and form a wireless network inspection system.

[0032] It should be noted that the target facility coordinates, airport deployment locations, and wireless communication coverage relationships in the target facility coverage correspondence results are systematically organized. Then, the target facility coordinates corresponding to the same airport deployment location are aggregated to obtain the aggregated target facility coordinates for each airport deployment location. The wireless communication coverage relationship between the target facility coordinates and the airport deployment locations in the aggregated target facility coordinates for each airport deployment location is verified. Target facility coordinates that maintain wireless communication access with the same airport deployment location are retained in the aggregated results, while target facility coordinates that cannot maintain wireless communication access, which have been clearly marked, are removed from the aggregated results. After verification, the retained target facility coordinates and their corresponding airport deployment locations are organized into a network correspondence, forming a network correspondence based on wireless communication coverage relationships between each target facility coordinate and its corresponding airport deployment location. The expression is as follows: , ; in, Indicates the first The target facility and the first Wireless coverage indications between airport deployment locations; Indicates the first Coordinates of the target facility; Indicates the first The wireless communication access area corresponding to the deployment location of each airport; Indicates the relationship with the first A target airport index that establishes a network correspondence between target facilities; Indicates the first Airport deployment locations; Indicates the target facility index; This indicates the airport deployment location index.

[0033] Based on the coordinates of the target facility Whether it falls within the airport's corresponding wireless communication access area Determine whether a wireless communication access relationship can be maintained between the target facility and the airport deployment location; when a wireless communication access relationship can be maintained, record... Otherwise remember From the airports that meet the wireless communication access conditions, select the airport with the smallest distance from the target facility as the network corresponding airport of the target facility, thereby establishing a network correspondence between the coordinates of the target facility and the deployment location of the airport based on the wireless communication coverage relationship.

[0034] All network mapping relationships are uniformly summarized to form a wireless network inspection system.

[0035] S1.3 Control the UAV to collect inspection control data of the target facility through the wireless network inspection system, and encapsulate the target facility coordinates, airport deployment location, wireless communication coverage relationship and inspection control data accordingly to generate network inspection data packets.

[0036] It should be noted that, according to the network correspondence in the wireless network inspection system, the coordinates of the target facilities corresponding to the deployment locations of each airport are arranged and organized. The UAV is controlled to conduct inspection and control data collection on each target facility one by one under the wireless communication coverage corresponding to the deployment locations of each airport. During the inspection and control data collection process, the target facility coordinates, airport deployment locations, wireless communication coverage, and collected inspection and control data are recorded synchronously each time they are collected. After the inspection and control data collection of each target facility is completed, the target facility coordinates, airport deployment locations, wireless communication coverage, and inspection and control data are merged and organized according to the correspondence between the same target facility coordinates and the same airport deployment location and the same wireless communication coverage. The data is then encapsulated according to the target facility coordinates to form a network inspection data packet corresponding to the coordinates of each target facility.

[0037] Inspection control data refers to the visible light image data, thermal image data, and corresponding video data collected by UAVs during the inspection of target facilities.

[0038] S2. Based on the data verification mechanism, perform consistency verification and validity screening on the network inspection data packets, send the screened network inspection data packets into the hazard identification model and perform joint judgment in conjunction with the temperature judgment rules, perform location verification on the joint judgment results, and generate hazard control judgment results.

[0039] S2.1. Based on the data verification mechanism, perform consistency verification and validity screening on the network inspection data packets to form the screened network inspection data packets.

[0040] It should be noted that a corresponding check is performed on the target facility coordinates, airport deployment location, wireless communication coverage relationship, and inspection control data in the network inspection data packet. Contents in the same network inspection data packet that do not correspond between the target facility coordinates and the airport deployment location, do not correspond between the wireless communication coverage relationship and the target facility coordinates or the airport deployment location, or do not correspond between the inspection control data and the target facility coordinates are marked as inconsistent content, while the remaining content is retained as consistency verification content.

[0041] For the inspection control data in the consistency verification content, a validity screening is performed. Inspection control data that is missing visible light image data, missing thermal image data, missing video data, or where the coordinates of the same target facility cannot correspond to each other are directly screened out. Inspection control data with the following conditions are also screened out: visible light image data in which the target facility is not fully in the frame, the target facility is obscured, the edge contour of the target facility cannot be identified, or the image is blurred so that the abnormal features of the target facility cannot be identified; thermal image data in which the thermal area of ​​the target facility does not correspond to the actual position of the target facility, the thermal image shows abnormal brightness or abnormal low brightness covering the main imaging area of ​​the target facility, the thermal distribution boundary is broken, or the contour of the thermal area cannot be identified; and video data in which the target facility does not appear continuously in the frame, the continuous video frame containing the main body of the target facility is interrupted, the image is constantly shaking so that the abnormal features of the target facility cannot be identified, or the video content does not correspond to the coordinates of the target facility.

[0042] After the validity screening is completed, the retained inspection control data is reorganized and merged according to the target facility coordinates, airport deployment location and wireless communication coverage relationship in the original network inspection data package to form the screened network inspection data package.

[0043] S2.2. Based on YOLOv8, a hazard identification model is constructed. The filtered network inspection data packets are sent into the hazard identification model and the temperature judgment rules are associated to perform joint judgment and form a joint judgment result.

[0044] It should be noted that historical visible light image data collected during automatic inspections of mining areas and spoil heaps are categorized and labeled with their locations. Category labeling includes slope fissures, landslides, water pipe leaks, fires, people and vehicles, and broken wires. Location labeling includes the corresponding positions of each abnormal target in the visible light image data. After performing image scaling, normalization, and data augmentation on the labeled historical visible light image data, it is fed into YOLOv8 for training. The training loss for each round of training is recorded. The ratio of the difference between the training losses of two adjacent rounds to the training loss of the previous round is used as the rate of decrease in training loss. A preset loss change threshold is determined by comparing the results of multiple consecutive rounds of training. When the rate of decrease in training loss does not exceed the preset loss change threshold in ten consecutive rounds of training, the training is considered complete, and the hazard identification model is obtained.

[0045] The expression for determining the convergence of YOLOv8 training is: , ; in, Indicates the first The rate of decrease in training loss in one round of training compared to the previous round of training; Indicates the training round index; Indicates the first The training loss corresponding to each round of training; Indicates the first The training loss corresponding to each round of training; This represents the maximum decrease in loss over ten consecutive training rounds; This indicates the preset threshold for loss variation; This indicates the round offset index when looking back at the most recent ten consecutive training rounds.

[0046] An example value of one percent is set for the preset loss change threshold. The reason is that when the training loss decreases by less than one percent for several consecutive periods, the improvement in the hazard source category identification and hazard source location identification results after further training is small. If the preset loss change threshold is set to more than one percent, training may end prematurely before it is fully trained, resulting in insufficient identification of abnormal targets by the hazard source identification model. If the preset loss change threshold is set to less than one percent, the number of training rounds will increase, but the improvement in the hazard source category identification and hazard source location identification results will be limited.

[0047] The reason for using ten consecutive rounds as the training completion judgment interval is that the training results of a single round or a few rounds are easily affected by the fluctuation of sample batches, making it difficult to stably reflect the true trend of training loss. The training results of ten consecutive rounds can more stably reflect whether the hazard identification model has entered the convergence stage. If the training completion judgment interval is less than ten rounds, the training is likely to end prematurely when there are short-term fluctuations in the training loss, resulting in insufficient training of the hazard identification model. If the training completion judgment interval is significantly more than ten rounds, it will increase the number of training rounds and the training time, while the improvement on the hazard category identification results and hazard location identification results will be limited.

[0048] The visible light image data from the filtered network inspection data packets is fed into the hazard identification model. Slope fissures, landslides, leaking water pipes, fires, people and vehicles, and broken wire strands in the visible light image data are identified to obtain the hazard category and location. The thermal image data from the filtered network inspection data packets is then mapped to the coordinates of the target facilities. The temperature values ​​of each pixel within the corresponding area of ​​the target facility are matrix-organized to obtain the target facility temperature matrix. Anomaly detection is then performed on the target facility temperature matrix according to temperature judgment rules, expressed as follows: ; in, Indicates the first The target facility corresponds to the first in the thermal image. Temperature anomaly status of individual pixels; Indicates the first The target facility corresponds to the first in the thermal image. Temperature value of each pixel; Indicates the first The environmental reference temperature for each target facility; Indicates the first Temperature anomaly increment threshold corresponding to each target facility; superscript This indicates an abnormal temperature condition; Indicates the first The threshold for suspected abnormal incremental changes corresponding to each target facility; superscript Indicates a suspected abnormal state; Indicates the first Temperature thresholds corresponding to each target facility; This indicates the pixel index within the target facility area in the thermal image corresponding to the target facility.

[0049] The temperature determination rules include determining the environmental reference temperature, the suspected anomaly increment threshold, the temperature anomaly increment threshold, the temperature threshold, and the temperature anomaly area determination. Specifically, the target facility area is extracted from the thermal image corresponding to the current target facility, and a surrounding area adjacent to the current target facility and not overlapping with other target facility areas is selected as a reference area outside the target facility area. The temperature distribution within the reference area is screened, and areas with obvious high temperature accumulation, obvious low temperature absence, boundary breaks, or interference from other heat sources are removed. The temperature levels that appear continuously and are stably distributed in the remaining areas are determined as the regional reference temperature corresponding to the current thermal image. In conjunction with the environmental temperature corresponding to the current acquisition time in the on-site tracking and survey records, the regional reference temperature is checked for consistency, and the regional reference temperature that is consistent with the on-site temperature environment is determined as the environmental reference temperature corresponding to the current target facility.

[0050] Historical thermal imaging data, on-site inspection records, and historical hazardous conditions were organized according to the type of target facility. Corresponding historical samples were divided into normal state samples, suspected abnormal state samples, and abnormal state samples. The temperature changes of the target facility area relative to the environmental reference temperature were extracted from each of the three types of samples. The range of temperature changes that remained consistently high in the normal state samples was compared with the range of temperature changes that began to stabilize in the suspected abnormal state samples to determine the suspected abnormality increment threshold. The range of temperature changes that remained consistently high in the suspected abnormal state samples was compared with the range of temperature changes that began to stabilize in the abnormal state samples to determine the temperature abnormality increment threshold. The lowest stable temperature that continuously appeared in the abnormal state samples and could be distinguished from the normal state samples and suspected abnormal state samples was determined as the temperature threshold.

[0051] The temperature of each pixel within the current target facility area is determined one by one. Pixels that reach the suspected abnormality increment threshold but not the temperature threshold are identified as suspected abnormal pixels. Pixels that reach both the temperature abnormality increment threshold and the temperature threshold are identified as temperature abnormal pixels. The remaining pixels are identified as normal pixels. Suspected abnormal pixels and temperature abnormal pixels that are spatially adjacent are merged. Boundary recognition is performed on the merged area. The area containing only suspected abnormal pixels is identified as a suspected abnormal area, and the area containing temperature abnormal pixels is identified as a temperature abnormal area. This yields the temperature abnormality location and temperature abnormality status, where the temperature abnormality status includes both suspected abnormality status and temperature abnormality status.

[0052] For example, in identifying overheating circuit breakers, areas 15 degrees Celsius above the ambient reference temperature but below 70 degrees Celsius are identified as suspected abnormal areas, while areas 25 degrees Celsius above the ambient reference temperature and above 70 degrees Celsius are identified as temperature abnormal areas. The example of using 70 degrees Celsius as the temperature threshold is because circuit breakers operating at temperatures above 70 degrees Celsius are usually significantly deviating from their normal operating temperature range and are prone to poor contact, local overload, or insulation aging. The ambient reference temperature increment is used as an auxiliary judgment condition to eliminate the influence of diurnal temperature differences, seasonal changes, and external heat sources on the thermal image data in the mine.

[0053] Hazard category, hazard location, temperature anomaly location, and temperature anomaly status are matched and merged according to the same airport deployment location and wireless communication coverage relationship corresponding to the same target facility coordinates. Content that corresponds to the hazard location and temperature anomaly location is retained as joint anomaly content. Content that only has hazard category and hazard location or only has temperature anomaly location and temperature anomaly status but can still be matched to the target facility coordinates is retained as single anomaly content. The joint anomaly content and single anomaly content are then uniformly organized to form a joint judgment result.

[0054] It should also be noted that during the inspection and control data acquisition process, the coordinates of the target facility corresponding to each acquisition and the position of the main body of the target facility in the corresponding image are recorded synchronously, so that the visible light image data, thermal image data and the target facility coordinates maintain the same correspondence. After the location of the hazard source and the temperature anomaly location are formed, the location mapping process is performed on the hazard source location and the temperature anomaly location based on the target facility coordinates recorded synchronously during acquisition and the position of the main body of the target facility in the corresponding image, so that the hazard source location and the temperature anomaly location can be mapped to the target facility area corresponding to the target facility coordinates. When the hazard source location or the temperature anomaly location falls into the target facility area corresponding to the target facility coordinates, it is determined that the location correspondence is valid; otherwise, it is determined that the location correspondence is invalid.

[0055] S2.3 Perform location verification on the joint judgment results and organize them according to the coordinates of the target facilities to generate the hazard source control judgment results.

[0056] It should be noted that the locations of the hazard sources and temperature anomalies in the joint judgment results are respectively checked against the target facility area corresponding to the target facility coordinates. Specifically, for content that has both hazard source locations and temperature anomaly locations, the content where both hazard source locations and temperature anomaly locations are located within the target facility area corresponding to the target facility coordinates is judged as having passed the location check; for content that only has hazard source locations, the content where the hazard source locations are located within the target facility area corresponding to the target facility coordinates is judged as having passed the location check; for content that only has temperature anomaly locations, the content where the temperature anomaly locations are located within the target facility area corresponding to the target facility coordinates is judged as having passed the location check; the remaining content is judged as having failed the location check and is filtered out.

[0057] The content that has passed the location verification is merged and organized according to the coordinates of the target facility. Content that simultaneously has hazard category, hazard location, temperature anomaly location and temperature anomaly status is organized into joint hazard content. Content that only has hazard category and hazard location or only has temperature anomaly location and temperature anomaly status and has passed the location verification is organized into single hazard content. The joint hazard content and single hazard content are then uniformly organized according to the coordinates of the target facility to generate hazard control judgment results.

[0058] Figure 5 The key differences between the proposed solution and the control solution in the hazard source control and determination process are illustrated in the figure. As can be seen from the figure, the proposed solution is lower than the control solution in negative indicators such as data mismatch rate, false alarm rate, and missed alarm rate, while it is significantly higher than the control solution in positive indicator of location verification pass rate. This indicates that by constructing a wireless network inspection system and performing association encapsulation, consistency verification, validity screening, joint determination, and location verification on the inspection control data, the proposed solution can more effectively maintain the correspondence between the target facility coordinates, airport deployment location, wireless communication coverage relationship, and inspection control data. This improves the collaborative identification and accurate location capabilities of hazard sources in the mine, reduces data mismatch and false alarm / missed alarm phenomena, and thus improves the reliability of hazard source control and determination results.

[0059] Figure 5The "Solution of the Invention" refers to the hazard source control and judgment scheme that adopts the complete technical process of the Invention, namely, constructing a wireless network inspection system based on the mine inspection area, target facility coordinates, airport deployment location and wireless communication coverage relationship, controlling drones to collect inspection control data of target facilities and generate network inspection data packets, performing consistency verification and validity screening on the network inspection data packets, sending the screened network inspection data packets into the hazard source identification model and performing joint judgment in conjunction with temperature judgment rules, performing location verification on the joint judgment results, and finally generating the hazard source control and judgment results. Figure 5 The “comparison scheme” refers to a comparison scheme that only identifies hazards and outputs results based on basic inspection images or inspection data, without performing wireless networking association encapsulation, consistency verification, validity screening, joint judgment of temperature judgment rules, and location verification. It is used to demonstrate the improvement effect of this invention in collaborative identification and accurate positioning.

[0060] It should also be noted that existing technologies typically identify hazards and determine temperatures directly from visible light and thermal images obtained by automatic inspections. However, they lack sufficient understanding of data correspondence and multi-source information synergy, and are prone to affecting the accuracy of judgments due to data mismatch, missing data, or image quality fluctuations. This solution performs consistency verification and validity screening on network inspection data packets, and then uses a hazard identification model based on YOLOv8 combined with temperature judgment rules for joint judgment. This can eliminate abnormal data in advance, enhance the mutual verification between visible light anomaly features and temperature anomaly features, improve the accuracy and consistency of hazard identification and judgment, reduce false alarms and missed alarms, and improve the reliability of subsequent location verification and early warning control.

[0061] S3. Use the hazard source control judgment results as the basis for early warning judgment, combine the hazard source category, spatial location, affected objects and network link status to perform early warning level classification, and generate corresponding reminder information, close reconnaissance control instructions and verbal disposal control instructions to form a graded early warning control instruction set.

[0062] S3.1 Organize the hazard source control judgment results according to the target facility coordinates, and collect the hazard source category, spatial location, affected objects and network link status to form the judgment results to be classified.

[0063] It should be noted that the hazard category in the hazard control judgment result is retained, and the hazard location and temperature anomaly location are checked against each other. When the hazard location and temperature anomaly location exist simultaneously and correspond to each other, the common location corresponding to the hazard location and temperature anomaly location is determined as the spatial location; when only the hazard location exists, the hazard location is determined as the spatial location; when only the temperature anomaly location exists, the temperature anomaly location is determined as the spatial location; the target facility body corresponding to the target facility coordinates and at least one of the personnel, vehicles, power supply lines, drainage pipes, or surrounding work areas that have a related influence relationship with the spatial location corresponding to the target facility coordinates are determined as the affected objects; the airport deployment location and wireless communication coverage relationship corresponding to the same target facility coordinates are matched and merged, and combined with the link access status of the graded early warning control command under the corresponding target facility coordinates, a network link status is formed; after the matching is completed, the hazard category, spatial location, affected objects, and network link status corresponding to the same target facility coordinates are merged and organized to form the result to be graded.

[0064] S3.2 Based on the results of the classification, and in combination with the hazard source category, spatial location, affected objects and network link status, the early warning level is divided to form the early warning level determination result.

[0065] It should be noted that, in the hazard source category, spatial location, affected objects, and network link status in the classification judgment results, a corresponding match is performed. Content whose spatial location overlaps with the coordinates of the target facility is determined as directly affected content, while content whose spatial location is located in the target facility area corresponding to the target facility coordinates but does not overlap with the coordinates of the target facility is determined as indirectly affected content. Network link status where the wireless communication coverage relationship is maintained and the classification warning control command can be continuously sent is determined as normal link status, while network link status where the wireless communication coverage relationship is maintained but the transmission of classification warning control commands is interrupted or delayed is determined as restricted link status. Content that includes personnel, vehicles, power lines, or drainage pipelines among the affected objects is determined as key affected objects, while content that only includes the target facility itself or the surrounding work area among the affected objects is determined as general affected objects.

[0066] Content categorized as hazard sources such as fire, landslides, and broken power lines is classified as basic high-level warning content. Content categorized as other hazard sources is classified as basic medium-level warning content. Among these, fire, landslides, and broken power lines are more likely to directly cause personal injury, equipment damage, or loss of control over the area. Any content within the basic high-level warning content that falls under the categories of directly affected content, restricted link status, or key affected objects is designated as high-level warning content. Content within the basic high-level warning content that falls under the categories of indirectly affected content, normal link status, and corresponds to general affected objects is designated as medium-level warning content.

[0067] For basic intermediate-level early warning content that simultaneously meets any two of the following criteria, it is identified as high-level early warning content: directly impacting content, in a restricted link state, or corresponding to a key affected object; for basic intermediate-level early warning content that meets any one of the following criteria, it is identified as medium-level early warning content: directly impacting content, in a restricted link state, or corresponding to a key affected object; for basic intermediate-level early warning content that is indirectly impacting content, in a normal link state, and corresponds to a general affected object, it is identified as low-level early warning content; after completing the early warning level classification, the early warning levels corresponding to the coordinates of each target facility are merged and organized to form the early warning level determination result.

[0068] The expression for classifying warning levels is as follows: ; ; ; ; ; in, Indicates the first The warning level corresponding to each target facility This indicates a high-level warning. This indicates a medium-level warning. This indicates a low-level warning; Indicates the first Each target facility corresponds to a basic level of hazard source; Indicates the first The hazard category corresponding to each target facility; Indicates the first The direct impact indicator quantity of each target facility corresponding to the hazard source; Indicates the first The number of restricted link markers corresponding to the hazard source of each target facility; Indicates the first The key impact indicators of each target facility corresponding to the hazard source.

[0069] S3.3. Execute instruction configuration processing according to the correspondence between the early warning level determination result and the reminder information, the close reconnaissance control instruction and the verbal disposal control instruction to form a single early warning control result.

[0070] It should be noted that low-level warning content is configured as reminder information, medium-level warning content is configured as reminder information and close-range reconnaissance control instructions, and high-level warning content is configured as reminder information, close-range reconnaissance control instructions, and verbal warning control instructions. Warning levels, reminder information, close-range reconnaissance control instructions, and verbal warning control instructions corresponding to the same target facility coordinates are aggregated to maintain a correspondence between the warning levels, reminder information, close-range reconnaissance control instructions, and verbal warning control instructions under the same target facility coordinates. The aggregated content is then compiled into a single warning control result.

[0071] It should also be noted that the reminder information includes the hazard category, warning level and spatial location corresponding to the target facility coordinates; the close-range reconnaissance control command is the control content used to control the drone to approach the spatial location corresponding to the target facility coordinates and perform close-range inspection control data collection; and the verbal response control command is the control content used to control the drone to perform voice reminders or verbal warnings at the spatial location corresponding to the target facility coordinates.

[0072] S3.4 Based on the results of individual early warning control, the reminder information, close reconnaissance control instructions, and verbal response control instructions are merged to form a hierarchical early warning control instruction set.

[0073] It should be noted that single-item early warning control results containing only reminder information are designated as low-level early warning content; single-item early warning control results containing both reminder information and close-in reconnaissance control instructions are designated as medium-level early warning content; and single-item early warning control results containing reminder information, close-in reconnaissance control instructions, and verbal control instructions are designated as high-level early warning content. Configured content corresponding to the same early warning level under the same target facility coordinates is merged to maintain a consistent correspondence between configured content and corresponding early warning level under the same target facility coordinates. All low-level, medium-level, and high-level early warning content corresponding to all target facility coordinates is uniformly summarized to form a tiered early warning control instruction set.

[0074] It should also be noted that existing technologies typically identify hazards based on inspection images and then directly push the results, conduct close-range reconnaissance, or issue remote warnings. However, they lack a unified classification of hazard categories, spatial impacts, and link status, which can easily lead to unclear warning priorities, simplistic handling methods, and insufficient targeted responses. This solution classifies the hazard control judgment results and, in conjunction with the hazard category, spatial location, affected objects, and network link status, configures corresponding reminder information, close-range reconnaissance control instructions, and warning control instructions. This further forms a graded early warning control instruction set, which can improve the accuracy of early warning classification and the targeted nature of handling configuration, strengthen the priority response capability for high-risk content, reduce the waste of handling resources, and enhance the orderliness and linkage of early warning control.

[0075] S4. The hierarchical early warning and control command set is sent to the drones, airports and platforms through the wireless network inspection system. The drones, airports and platforms are controlled to perform corresponding early warning and linkage response operations. The feedback data generated during the response process is stored to form the early warning and control results of the hazard source.

[0076] S4.1 The hierarchical early warning and control command set is sent to the drones, airports and platforms through the wireless network inspection system to form the command transmission result.

[0077] It should be noted that, according to the correspondence between target facility coordinates, warning levels, reminder information, close-in reconnaissance control instructions, and verbal response control instructions in the hierarchical early warning control instruction set, the target of each target facility coordinate is determined. The reminder information is sent to the platform, and the close-in reconnaissance control instructions and verbal response control instructions are sent to the UAV and the airport. The sending process is performed based on the corresponding airport deployment location and wireless communication coverage. The sending status of the UAV, airport, and platform is recorded accordingly. Content that has been sent and received by the UAV, airport, or platform is determined as sent completed content, and content that has not been sent or received by the UAV, airport, or platform is determined as sent incomplete content. The sent completed content and sent incomplete content under the same target facility coordinates are merged and organized to form the instruction sending result.

[0078] S4.2 Based on the command transmission results, control the drone, airport and platform to perform corresponding early warning linkage and response operations, and generate response feedback results.

[0079] It should be noted that, based on the correspondence between the target facility coordinates, warning level, reminder information, close-range reconnaissance control instructions, and verbal control instructions in the instruction transmission results, completed and incomplete transmission content are processed separately. Completed transmission content is used as warning linkage response content, while incomplete transmission content is retained as pending response content. Reminder information sent to the platform within the warning linkage response content is processed with warning notification push notifications, and a notification notification push status is established based on whether the notification has been successfully pushed. Close-range reconnaissance control instructions sent to drones and airports are processed with control measures, causing the airport to control drones to approach the target facility's coordinates and perform close-range inspection and control data collection according to the close-range reconnaissance control instructions. The system establishes a close-range reconnaissance execution status based on whether the drone has completed the acquisition of close-range inspection and control data; it executes the control commands sent to the drone and the airport, enabling the airport to control the drone to perform voice reminders or drive-away calls at the spatial location corresponding to the target facility coordinates, and establishes a call-away execution status based on whether the drone has completed the voice reminder or drive-away call; it establishes a command forwarding status based on whether the airport has forwarded the corresponding command to the drone; after completing the early warning linkage operation, it merges the reminder information push status, close-range reconnaissance execution status, call-away execution status, command forwarding status, and inspection and control data generated during the close-range reconnaissance process to form a response feedback result.

[0080] S4.3 Store and organize the feedback results to form feedback data, and generate hazard source early warning and control results based on the feedback data.

[0081] It should be noted that the feedback results are categorized and stored. The alert information push status, close reconnaissance execution status, verbal response execution status, instruction forwarding status, and inspection control data corresponding to the same target facility coordinates are stored under the same target facility coordinates. The alert information push status, close reconnaissance execution status, verbal response execution status, instruction forwarding status, and inspection control data under the same target facility coordinates are merged and organized to form feedback data. The alert information push status, close reconnaissance execution status, verbal response execution status, and instruction forwarding status in the feedback data are judged as complete. Content where all four statuses are complete is defined as completed early warning control content, and content where any status is incomplete is defined as incomplete early warning control content. Combined with the inspection control data, the completed and incomplete early warning control content are uniformly organized to generate the hazard source early warning control results.

[0082] Figure 6The figure illustrates the changes in the closed-loop performance of the early warning linkage between the proposed solution and the control solution under the condition that the proportion of restricted link states gradually increases. As shown in the figure, with the increase of the proportion of restricted link states, the command transmission success rate, closed-loop completion rate, and early warning level classification accuracy of both solutions all show a downward trend. However, the proposed solution maintains a higher overall level, with smaller fluctuations in the local amplification range and stronger stability at key peaks. The point of greatest difference between the two solutions also indicates that the proposed solution still has better performance maintenance capability under the condition of restricted links. This shows that the proposed solution, by combining the hazard source control judgment result with the hazard source category, spatial location, affected object, and network link status to perform early warning level classification, and further forming a hierarchical early warning control command set, completing command transmission, handling feedback, and feedback data merging, can achieve more targeted differentiated early warning control and a more complete feedback closed loop, thereby improving the targeting and orderly handling of early warning response.

[0083] Figure 6 The “Success Rate of Command Sending in This Invention Scheme”, “Closed-Loop Completion Rate in This Invention Scheme”, and “Correctness Rate of Early Warning Level Classification in This Invention Scheme” refer to the corresponding statistical results obtained under the condition of adopting the complete early warning control process of this invention.

[0084] Figure 6 The “Comparison Scheme - Command Sending Success Rate”, “Comparison Scheme - Closed-Loop Completion Rate”, and “Comparison Scheme - Early Warning Level Classification Accuracy Rate” refer to the corresponding statistical results obtained under the comparison scheme. The comparison scheme refers to the scheme that directly pushes the results, conducts close-range reconnaissance, or makes remote announcements after the hazard source is identified, without performing unified classification on the hazard source category, spatial location, affected objects, and network link status, and without forming a complete feedback closed loop corresponding to the graded early warning control command set. It is used to reflect the improvement effect of this embodiment in terms of the pertinence of early warning response, the orderliness of linkage and handling, and the completeness of feedback closed loop.

[0085] This embodiment also provides a mine site hazard identification and early warning system, including: a network inspection module, a verification and judgment module, an early warning control module, and a linkage feedback module; The network inspection module is used to build a wireless network inspection system based on the mine inspection area, target facility coordinates, airport deployment location and wireless communication coverage relationship, and to control the drone to collect inspection control data of the target facility, perform correlation encapsulation on the inspection control data, and generate network inspection data packets. The verification and judgment module is used to perform consistency verification and validity screening on the network inspection data packets according to the data verification mechanism. The filtered network inspection data packets are sent into the hazard identification model and combined with the temperature judgment rule to perform joint judgment. The joint judgment result is used to perform location verification and generate hazard control judgment result. The early warning and control module is used to take the hazard source control judgment result as the basis for early warning judgment, combine the hazard source category, spatial location, affected objects and network link status to perform early warning level classification, and generate corresponding reminder information, close reconnaissance control instructions and public address control instructions to form a hierarchical early warning and control instruction set; The linkage feedback module is used to send the hierarchical early warning control command set to drones, airports and platforms through the wireless network inspection system, control drones, airports and platforms to perform corresponding early warning linkage response operations, and store the feedback data generated during the response process to form the hazard source early warning control results.

[0086] In summary, this invention achieves collaborative identification and accurate location of hazardous sources in mines by constructing a wireless network inspection system and performing association encapsulation, verification screening, and joint judgment on inspection control data, thereby improving the reliability of judgment and reducing data mismatch, false alarms, and missed alarms. By combining the type of hazardous source, spatial location, affected objects, and network link status to perform hierarchical early warning and coordinated handling, differentiated early warning control and feedback closed loop are achieved, thereby improving the pertinence of early warning response and the orderliness of handling.

[0087] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for identifying and issuing early warnings of hazardous sources at a mine site, characterized in that: include: A wireless network inspection system is constructed based on the mine inspection area, target facility coordinates, airport deployment location, and wireless communication coverage. The system controls drones to collect inspection control data of the target facilities, performs association encapsulation on the inspection control data, and generates network inspection data packets. Based on the data verification mechanism, the network inspection data packets are subjected to consistency verification and validity screening. The screened network inspection data packets are then sent into the hazard identification model and associated with the temperature judgment rule to perform joint judgment. The joint judgment result is then verified to generate the hazard control judgment result. The results of hazard source control assessment are used as the basis for early warning assessment. The early warning level is divided in combination with the hazard source category, spatial location, affected objects and network link status. Corresponding reminder information, close reconnaissance control instructions and verbal control instructions are generated to form a hierarchical early warning control instruction set. The wireless network inspection system sends a set of hierarchical early warning and control instructions to drones, airports, and platforms, controls drones, airports, and platforms to perform corresponding early warning and linkage response operations, and stores the feedback data generated during the response process to form the early warning and control results of the hazard source.

2. The method for identifying and warning of hazardous sources at a mine site as described in claim 1, characterized in that, The specific steps for constructing the wireless network inspection system are as follows: The coordinates of the mine inspection area, target facilities, airport deployment location, and wireless communication coverage are organized to form the corresponding target facility coverage results. Based on the coverage correspondence results of the target facilities, a network correspondence relationship based on the wireless communication coverage relationship is established between the coordinates of the target facilities and the deployment location of the airport, forming a wireless network inspection system.

3. The method for identifying and warning of hazardous sources at a mine site as described in claim 2, characterized in that, The specific steps for generating the network inspection data packet are as follows: The system uses a wireless network inspection system to control drones to collect inspection and control data of target facilities. The target facility coordinates, airport deployment location, wireless communication coverage relationship and inspection control data are encapsulated accordingly to generate network inspection data packets.

4. The method for identifying and warning of hazardous sources at a mine site as described in claim 1, characterized in that, The specific steps for generating the hazard source control determination result are as follows: Based on the data verification mechanism, the network inspection data packets are subjected to consistency verification and validity screening to form the screened network inspection data packets; A hazard identification model is constructed based on YOLOv8. The filtered network inspection data packets are sent into the hazard identification model and a joint judgment is performed in conjunction with temperature judgment rules to form a joint judgment result. The joint judgment results are verified by location and organized according to the coordinates of the target facilities to generate the hazard source control judgment results.

5. The method for identifying and warning of hazardous sources at a mine site as described in claim 1, characterized in that, The specific steps for forming the hierarchical early warning control instruction set are as follows: The results of the hazard source control assessment are organized according to the coordinates of the target facilities, and the hazard source category, spatial location, affected objects and network link status are collected to form the results to be classified and assessed. Based on the results of the pending classification, the warning level is determined by combining the hazard source category, spatial location, affected objects and network link status, and the warning level determination result is formed. According to the correspondence between the early warning level determination result and the reminder information, the close reconnaissance control instruction and the verbal disposal control instruction, the instruction configuration processing is executed to form a single early warning control result; Based on the results of individual early warning control, the reminder information, close reconnaissance control instructions, and verbal response control instructions are merged to form a hierarchical early warning control instruction set.

6. The method for identifying and warning of hazardous sources at a mine site as described in claim 5, characterized in that, The specific steps for generating the hazard source early warning and control results are as follows: The wireless network inspection system sends the hierarchical early warning and control command set to the drones, airports and platforms to form the command transmission results. Based on the command transmission results, control drones, airports, and platforms to perform corresponding early warning and linkage response operations, and generate response feedback results; The feedback results of the handling are stored and merged to form feedback data, and the hazard source early warning and control results are generated based on the feedback data.

7. The method for identifying and warning of hazardous sources at a mine site as described in claim 4, characterized in that, The specific steps for forming the joint determination result are as follows: The visible light image data in the filtered network inspection data packets is fed into the hazard identification model to obtain the hazard category and hazard location. The thermal image data in the filtered network inspection data packets are matched with the coordinates of the target facility, and the abnormal temperature location and abnormal temperature status are obtained according to the temperature determination rules. The categories of hazards, their locations, the locations of temperature anomalies, and the states of temperature anomalies are categorized and combined to form a joint judgment result.

8. The method for identifying and warning of hazardous sources at a mine site as described in claim 5, characterized in that, The specific steps for forming the early warning level determination result are as follows: Content whose spatial location coincides with the coordinates of the target facility is identified as directly affected content, while other content located within the target facility area is identified as indirectly affected content. The network link status that can continuously send hierarchical early warning control commands is determined as the normal link status, and the network link status that is interrupted or delayed in sending hierarchical early warning control commands is determined as the restricted link status. The items that affect people, vehicles, power lines or drainage pipes are identified as key affected items, and the remaining items are identified as general affected items. The warning level is determined by combining the category of hazard source, the content of direct or indirect impact, the status of normal or restricted links, and the key or general impact objects.

9. The method for identifying and warning of hazardous sources at a mine site as described in claim 5, characterized in that, The hierarchical early warning control instruction set includes content corresponding to low-level early warnings, medium-level early warnings, and high-level early warnings.

10. A system for identifying and warning of hazardous sources at a mine site, based on the method for identifying and warning of hazardous sources at a mine site as described in any one of claims 1 to 9, characterized in that, include: The system includes a network inspection module, a verification and judgment module, an early warning and control module, and a linkage feedback module. The network inspection module is used to build a wireless network inspection system based on the mine inspection area, target facility coordinates, airport deployment location and wireless communication coverage relationship, and to control the drone to collect inspection control data of the target facility, perform correlation encapsulation on the inspection control data, and generate network inspection data packets. The verification and judgment module is used to perform consistency verification and validity screening on the network inspection data packets according to the data verification mechanism. The filtered network inspection data packets are sent into the hazard identification model and combined with the temperature judgment rule to perform joint judgment. The joint judgment result is used to perform location verification and generate hazard control judgment result. The early warning and control module is used to take the hazard source control judgment result as the basis for early warning judgment, combine the hazard source category, spatial location, affected objects and network link status to perform early warning level classification, and generate corresponding reminder information, close reconnaissance control instructions and public address control instructions to form a hierarchical early warning and control instruction set; The linkage feedback module is used to send the hierarchical early warning control command set to drones, airports and platforms through the wireless network inspection system, control drones, airports and platforms to perform corresponding early warning linkage response operations, and store the feedback data generated during the response process to form the hazard source early warning control results.

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