Mine safety early warning emergency management decision and linkage response system based on'scene-quick response chain-response '

Abstract

The invention relates to a mine safety early warning emergency management decision and linkage response system based on'scene-quick response chain-response ', and belongs to the technical field of mine safety early warning emergency management decision and linkage response. The system comprises a multivariate information acquisition and input module, a multi-chain data fusion module, a disaster situation analysis and evaluation display module, an emergency knowledge platform based on a knowledge graph, a command scheduling and emergency capability evaluation display module, an emergency information intelligent receiving and issuing module, an emergency drilling and training module and the like. And an emergency management closed loop based on knowledge, expert group intelligence, an emergency process and an intelligent decision rule set is realized. According to the invention, the scientificity, compliance and timeliness of mine safety emergency management decision and linkage response can be effectively improved, and the mine safety service guarantee level and the working efficiency are improved.

Description

Technical Field

[0001] The present invention relates to a mine safety early warning emergency management decision-making and linkage response system based on "scenario - rapid response chain - response", belonging to the technical field of mine safety early warning emergency management decision-making and linkage response. Background Art

[0002] With the rapid development and wide application of information communication and artificial intelligence (AI) technology in various industries, people have many confusions and questions about whether these emerging technologies can be widely applied to mine safety early warning emergency management decision-making and linkage response. Through patent inventions, not only can these confusions and questions be further solved, but also the progress of science and technology in industries such as China's energy and metallurgical mine safety technology and engineering can be vigorously promoted, which has important contemporary significance for improving the existing coal mine safety early warning emergency management and service guarantee level. How to coordinate mine economic development and safety and achieve high-quality and efficient emergency management level has become a research hotspot and key point in the field of mine safety decision-making and response technology.

[0003] The prior art with the publication number CN111914100A discloses a method for representing emergency decision-making knowledge based on ontology, which solves the defect of no technical data guidance for emergency decision-making in case of emergencies compared with the prior art. The invention includes the following steps: determining an emergency decision-making ontology model for emergencies, and by analyzing emergency plans, emergency cases, and emergency business rules for emergencies, proposing an emergency decision-making knowledge ontology model for emergencies; constructing based on the ontology in the field of emergency decision-making for emergencies. By constructing an emergency decision-making knowledge ontology for emergencies, a corresponding relationship between knowledge nodes and data subclasses is formed through the ontology based on attributes, providing fast and efficient knowledge management for the intelligence of emergency decision-making for emergencies. The invention

[0004] The prior art with the publication number CN115423213A discloses an intelligent analysis and early warning system for mine safety risks based on data analysis, including a processor, which is communicatively connected to a data acquisition unit, an operating environment monitoring unit, a natural environment monitoring unit, a geological environment monitoring unit, a comprehensive safety risk analysis unit, a safety early warning feedback unit, and a display terminal. This prior art judges the mine safety risk level, focusing on the investigation and pre-control of mine hazard sources and hidden dangers, without paying attention to the emergency response and decision-making of mine safety accidents, only analyzing data without data driving and emergency linkage. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide a mine safety early warning emergency management decision-making and linkage response system based on "scenario - rapid response chain - response".

[0006] To achieve the above purpose, the present invention provides the following technical solutions:

[0007] A mine safety early warning emergency management decision-making and linkage response system based on "scenario - quick response chain - response", which includes: an information input module, a multi-chain data fusion platform, a disaster situation analysis and assessment module, an emergency knowledge center, a command and dispatch and emergency capacity assessment module, an emergency information reception and release module, an emergency unit response feedback reception module, an emergency response execution feedback reception module, a status display module, and an emergency drill and training module.

[0008] The information input module inputs various types of information into the system, and the multi-chain data fusion platform sorts out the accident chain, information chain, plan chain, and quick response chain according to various types of information. Then, the disaster situation analysis and assessment module analyzes and assesses the disaster situation based on the "four-chain fusion", obtains a disaster trend map and judges whether there is a disaster situation. If there is no disaster situation or the disaster situation has been disposed of, continuous monitoring information or the recovery situation after the disaster is disposed of is output at the status display module. If a disaster occurs or there is still a disaster situation, the disaster trend map and various types of information are transmitted to the emergency knowledge center for emergency decision-making. The emergency knowledge center gives a decision-making plan, and the command and dispatch and emergency capacity assessment module evaluates the implementation capacity of the current rescue response unit according to the given decision-making plan. If the current response unit has the implementation capacity, an execution instruction is output. If the implementation capacity of the current response unit is insufficient, the disaster situation and the decision-making plan are sent to other emergency rescue units through the emergency information reception and release module, and the information of the responding emergency units is confirmed through the emergency unit response feedback reception module, and the implementation capacity is evaluated again until the implementation capacity is available and then an execution instruction is issued; after all response units receive the execution instruction and execute the decision according to the decision-making plan, the execution feedback is transmitted to the disaster situation analysis and assessment module again through the emergency response execution feedback reception module for evaluation, and the corresponding decision is executed again according to the evaluation result.

[0009] Among them, at least a decision-making model based on "scenario - quick response chain - response" is set in the emergency knowledge center, and the decision-making process of the decision-making model is as follows:

[0010] First, match the disaster situation information in the case library to find whether there are the same or similar cases;

[0011] If there are the same or similar cases in the case library, further query their corresponding disposal methods and disposal effects. In the case of good disposal effects, the decision-making model selects the disposal method of the same or similar cases for recommendation. When there are multiple same or similar cases, the decision-making model screens the cases according to the similarity; in the case of multiple good disposal methods for each case, the decision-making model screens the disposal methods according to the disposal effects;

[0012] If there is no matching identical or similar case in the case library, or the corresponding handling method in the matching identical or similar case is not effective, the decision model will query whether there is a corresponding accident plan in the plan library. If there is a corresponding accident plan, the accident plan will be used as the handling suggestion; if there is no corresponding accident plan, the expert knowledge base will be further searched for handling method suggestions; the decision model sends a suggestion request to the expert knowledge base management module and sends the accident information to the expert knowledge base management module at the same time. After receiving the suggestion request, the expert knowledge base management module immediately sends a suggestion request through the APP installed on the communication device of each expert, and the decision model uses the expert's suggestion plan as the recommended plan.

[0013] Furthermore, the emergency knowledge center sets up an expert knowledge base management module to dispatch the emergency expert knowledge base. The expert knowledge base management module uses software to set up an APP for handling emergency accidents on each preset expert communication terminal device. The APP is installed on the communication terminal of each expert and has higher authority after being authorized by the expert.

[0014] First, when an accident occurs, if there is a corresponding case processing method or pre-processing method in the case library or plan library, the expert knowledge base management module is only used for communication devices, and the relevant messages are notified to each expert through the APP installed in each expert's communication device. In this case, the expert can choose to further view the detailed message or close it directly;

[0015] Second, when an accident occurs, if there is no corresponding case handling method or pre-handling method in the case library or plan library, the APP in the expert knowledge base management module will pop up directly and cannot be closed before the expert gives the corresponding solution or opinion, and will continue to remind the expert by sound, vibration, light, etc. When the expert handles an emergency accident, the handling methods include: directly proposing a new plan, agreeing or opposing a plan, and remaining neutral;

[0016] Among them, when agreeing with a certain plan, the reasons for agreeing with the plan must be given, including an analysis of the advantages and disadvantages of the plan, and an explanation of why the plan is still agreed with on the premise of the aforementioned advantages and disadvantages analysis; similarly, when opposing a certain plan, the reasons for opposing the plan must be given, including an analysis of the advantages and disadvantages of the plan, and an explanation of why the plan is still opposed on the premise of the aforementioned advantages and disadvantages analysis; maintaining neutrality means that when there are multiple pre-selected plans, there is no clear agreement or opposition to a certain plan. In this case, the expert needs to analyze the advantages and disadvantages of all plans, and on the premise of giving the advantages and disadvantages analysis of all plans, an explanation is given to show that each plan is in the same position.

[0017] Furthermore, after the accident is handled, the expert knowledge base management module also scores the experts according to the results of the corresponding solutions and the corresponding opinions of each expert. The specific rules include:

[0018] If the plan achieves beneficial results, experts who propose the plan will be awarded points according to the first bonus level, experts who agree with the plan will be awarded points according to the second bonus level, experts who give neutral opinions will not be awarded points, and experts who oppose the plan will be deducted points according to the second deduction level;

[0019] In the case that the beneficial effect of the plan is insufficient but no major losses are caused, the expert who proposed the plan will be awarded extra points according to the second bonus level, and the scores of the other experts will remain unchanged;

[0020] In the event that a plan has defects that cause significant losses, experts who proposed the plan will be deducted points according to the first deduction level, experts who agree with the plan will be deducted points according to the second deduction level, experts who proposed a neutral plan will have their scores remain unchanged, and experts who oppose the plan will be awarded points according to the first bonus level;

[0021] In addition, a corresponding reward and punishment mechanism is set up for each expert's score, and a corresponding reward and punishment mechanism is also set up for a single change in score.

[0022] Furthermore, when a certain plan is approved, opposed or neutrally approved by several experts, the decision-making model based on “scenario-rapid response chain-response” decides whether to recommend the plan in the following way:

[0023] First, according to the majority principle, if the number of experts who support the plan is greater than the number of experts who oppose it, the plan will be recommended; if the number of experts who support the plan is less than the number of experts who oppose it, the plan will not be recommended;

[0024] If the number of experts who support the plan is equal to the number of experts who oppose the plan, the total score of all experts who support the plan and the total score of all experts who oppose the plan will be compared to decide whether to recommend it;

[0025] If the total score of all experts who support the plan is greater than the total score of all experts who oppose the plan, the plan will still be recommended; if the total score of all experts who support the plan is less than the total score of all experts who oppose the plan, the plan will not be recommended;

[0026] If the total score of all experts who support the plan is equal to the total score of all experts who oppose the plan, the decision model will give a prompt and the person in charge will decide whether to recommend it.

[0027] Further, the information input module is provided with an information collection module for collecting information. The information collection module includes a front-end collection sub-module and a back-end collection sub-module. Among them, the front-end collection sub-module is used to collect the situation at the mine site, which is divided into sensor-based collection devices and video surveillance-based collection devices;

[0028] The sensor-based collection devices include temperature sensors, pressure sensors, vibration sensors, gas sensors, noise sensors, displacement sensors, etc.;

[0029] The video surveillance-based collection devices include fixed cameras, inspection robots, and inspection drones;

[0030] The back-end collection sub-module is directly connected to the Internet to obtain various relevant information from the Internet; the information obtained by the back-end collection sub-module from the Internet includes safety instruction information and safety dynamic information.

[0031] The back-end collection sub-module also accesses the mine safety monitoring station through an authorized interface to obtain corresponding information from the monitoring station.

[0032] Further, the types of information input into the system by the information input module include: the types of information input into the system by the information input module include: monitoring information data, specification information data, accident information data, case information data, pre-plan information data, hidden danger investigation information, emergency medical information, expert information data, expert opinion data, personnel and material information data, GIS information;

[0033] The monitoring information data refers to the real-time monitored mine safety data; the specification information data refers to the data used to predict whether an accident will occur in the mine, which stipulates the safety indicators of various parameters under each accident; the accident information data refers to the information data at the time of the accident; the case information data refers to the treatment plans taken for the accidents that have occurred; the pre-plan information data refers to the pre-treatment plans given for the accident information that has not occurred but can be predicted; the hidden danger investigation information refers to the hidden danger information detected in real time during the operation of the mine, the emergency medical information refers to the relevant information of the medical teams dispatched at all levels after there are casualties in the mine, the expert information data refers to the relevant information of the experts registered in the system; the expert opinion data refers to the treatment plan information given by the experts for the event; the personnel and material information data refers to the relevant data of the rescue team members, rescue materials, and technical equipment that have actually arrived at the rescue site, including human and material resources. The GIS information refers to the relevant data information of the emergency map, such as time, location, position, name of the disaster or accident, casualties and losses, etc., the distribution of the on-site temporary emergency command post, rescue materials, and medical resources.

[0034] Furthermore, the emergency knowledge center platform includes a knowledge graph module. The knowledge graph module establishes a knowledge graph for judging whether a mine accident will occur or what kind of accident has occurred in the form of a knowledge graph, which includes the following processes:

[0035] Entity extraction: For structured data, use regular expression matching technology to extract entities; for unstructured data, extract entity information based on part-of-speech tagging, keyword association analysis, and named entity recognition technology.

[0036] Relationship extraction: The relationships of structured data are obtained by directly parsing their relational structures; for unstructured data, adopt advanced word vector combined with convolutional neural network technology to mine the complex relationship network between entities.

[0037] Alignment step: Through linear transformation, fuse the attribute vectors and word vectors of entities into feature vectors, and then calculate the similarity between entities to achieve alignment.

[0038] Knowledge graph construction: Based on the knowledge content after alignment and fusion processing, store it in the database to construct a mine disaster knowledge graph.

[0039] Furthermore, at least a general database management module is set in the emergency knowledge center platform, including a case library management module and a pre-plan library management module. Among them, the case library management module continuously incorporates the accident information that has occurred, its corresponding disposal methods, and the final benefits of these disposal methods into the case library over time.

[0040] The pre-plan library management module gives a targeted pre-treatment plan based on the actual data obtained from on-site surveys by professional and technical personnel. The pre-treatment plan includes a prevention plan before an accident occurs and an emergency pre-treatment plan after an accident occurs. The pre-plan library is updated specifically for a certain mine.

[0041] Furthermore, the command and dispatch and emergency response capacity assessment module is used to manage the human and material resources for emergency rescue and evaluate the corresponding emergency response capacity and implementation capacity. Among them, the emergency rescue material library management module classifies the human and material resources into at least three levels. The first level is the human and material resources for the emergency rescue of the mine enterprise itself, the second level is the human and material resources that can provide corresponding rescue measures by the enterprises or specialized rescue agencies around the accident site, and the third level is the human and material resources for emergency rescue mobilized from a long distance.

[0042] The command and dispatch and emergency response capability assessment module determines the mobilization of human and material resources according to the decisions given by the emergency knowledge center, and immediately sends the call information of human and material resources to the corresponding units or institutions after confirmation. The corresponding units and institutions call human and material resources according to the plan in the call information after receiving the call information, and give feedback to the emergency response execution feedback receiving module; the emergency response execution feedback receiving module records the feedback information of each called unit or institution; the emergency drill and training module interacts with the command and dispatch and emergency response capability assessment module to train emergency personnel or conduct drills on emergency decisions in the way of "combining peacetime and wartime", where "combining peacetime and wartime" means conducting drills when no disaster occurs and carrying out actual rescue when a disaster occurs.

[0043] Furthermore, the mine safety early warning and emergency management decision-making system can be directly connected to the existing safety accident handling systems of coal mines or non-coal mines, and participate in the early warning decision-making of the existing safety accident handling systems; among them:

[0044] In the existing safety accident handling system for coal mines, when a disaster accident occurs, it is first reported to the mine emergency duty office, and then reported to the accident unit, the general commander and all deputy commanders of the emergency command headquarters from there. Then, the command headquarters decides whether to initiate off-mine emergency management decision-making and linkage response, and at the same time reports to its own emergency duty office by the command headquarters; if so, the county, city, department and emergency management and support service departments issue early warnings, and the county, city, department and emergency management and support service departments initiate the mine safety early warning and emergency management decision-making system to make auxiliary decisions, and send relevant instructions to the corresponding parts according to the decision results; if not, the in-mine emergency response plan is initiated, then a on-site emergency rescue command headquarters is established and an emergency meeting is held, and at the same time all members of the emergency command headquarters are notified to arrive at the emergency duty office. The on-site emergency rescue command headquarters also reports to the general commander; then the rescue operation is carried out, including providing emergency rescue materials and equipment by the material supply group, providing technical support by the technical support group, providing security and logistics support by the security and protection group, and the rescue and relief group entering the accident area for rescue and relief, and the medical rescue group of the rescue and relief group treating the wounded; at the same time, the on-site emergency rescue command headquarters continuously optimizes the rescue plan according to the disaster; further judge whether the situation is under control. If so, the accident is eliminated, the emergency ends, and the fund guarantee group is responsible for verifying the expenses generated by the accident rescue and appropriating them in a timely manner; the aftermath handling group conducts aftermath handling; the accident unit resumes production order, and the general commander and deputy commanders of the emergency rescue command headquarters conduct an end summary, and the rescue assessment group evaluates the process of the accident emergency rescue; if not, the rescue is expanded. Specifically, the emergency command headquarters requests help from the production command center of the superior company, the agreement rescue team, the agreement hospital, the local government, and neighboring enterprises, and applies for a response upgrade. The mine safety early warning and emergency management decision-making system can be the upgrade response party;

[0045] In the existing safety accident handling system for non-coal mines, when a safety accident occurs, the first discoverer makes an alarm, and the mine emergency leading group judges the level of the alarm situation to confirm whether to initiate off-mine emergency management decision-making and linkage response. If so, the mine safety early warning and emergency management decision-making system conducts auxiliary decision-making; if not, the in-mine plan is initiated, reported to the higher-level competent unit of the mine, and at the same time, it is notified that the on-site commander of the mine arrives, the mine emergency personnel arrive, and the ore emergency resources are allocated in place, and then rescue operations are carried out, including personnel rescue, medical treatment, personnel evacuation, on-site monitoring, environmental protection, expert support, engineering emergency rescue, and security and traffic control; it is judged whether it is under control according to the rescue result. If so, emergency recovery is carried out, including on-site cleaning, lifting of the security cordon, aftermath handling, and accident investigation. At the same time, the in-mine emergency response ends, and a summary review is conducted; if not, reinforcement is requested, and the reinforcement includes initiating the mine safety early warning and emergency management decision-making system for auxiliary decision-making; each decision in the above process undergoes information closed-loop feedback and is promptly fed back to the alarm person.

[0046] The beneficial effects of the present invention are as follows:

[0047] Quick response and decision-making: Through the "scenario - quick response chain - response" mode, the system can quickly collect and analyze accident information, and quickly generate emergency treatment plans based on the case library, pre-plan library, and expert knowledge library, greatly shortening the accident response and decision-making time and improving the efficiency of emergency management.

[0048] Intelligent auxiliary decision-making: The intelligent rule set management module uses the knowledge graph to intelligently process accident information, improving the accuracy and efficiency of information processing. The emergency response decision voting management module can automatically match similar cases in the case library and screen them according to the handling effect and similarity, providing a scientific reference basis for decision-makers.

[0049] Comprehensive resource integration: The system integrates resources such as the case library, pre-plan library, expert knowledge library, and emergency rescue material library, realizing the comprehensive integration and efficient utilization of resources. When an accident occurs, relevant resources can be quickly mobilized to ensure the smooth progress of emergency rescue work.

[0050] Real-time participation of experts: The expert knowledge library management module connects with experts in real time through the APP to ensure that professional opinions of experts can be obtained in critical moments. This not only improves the professionalism of emergency treatment plans but also enhances the scientific nature and reliability of decision-making.

[0051] Transparency and clear responsibility: The general management module has the ultimate decision-making power and finally confirms the plan, ensuring the transparency of the decision-making process. At the same time, when experts give opinions, whether they are in favor, against, or neutral, they need to give clear reasons, which helps to clarify responsibilities and improve the fairness and rationality of decision-making.

[0052] Continuous improvement and optimization: After the accident handling is completed, the system will also score the experts based on the effectiveness of the plan and the opinions of the experts. This helps to evaluate the professional capabilities and contributions of the experts, and at the same time provides data support for the continuous optimization of the system. Through continuous experience accumulation and improvement, the emergency management ability of the system will be continuously enhanced.

[0053] Improve safety management level: Through the implementation of this system, the safety management level of mining enterprises will be significantly improved. It can not only respond quickly when an accident occurs, but also continuously improve the prediction and prevention and control capabilities of potential risks through the accumulation of case libraries and pre-plan libraries, reducing the probability and losses of accidents.

[0054] Other advantages, objectives and features of the present invention will be described to some extent in the subsequent specification, and to some extent, will be obvious to those skilled in the art based on the study of the following text, or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be realized and obtained through the following specification. Brief Description of the Drawings

[0055] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in detail preferably with reference to the accompanying drawings, where:

[0056] Figure 1 is a schematic diagram of the overall architecture of the system of the present invention;

[0057] Figure 2 is a schematic diagram of the process for the emergency response decision voting management module of the present invention to determine the proposed plan;

[0058] Figure 3 is a schematic diagram of the functional structure of the knowledge graph module of the present invention;

[0059] Figure 4 is a combined schematic diagram of the system of the present invention and the existing safety accident handling system for coal mines;

[0060] Figure 5 is a combined schematic diagram of the system of the present invention and the existing safety accident handling system for non-coal mines. Detailed Description of the Specific Embodiment

[0061] The following specific examples illustrate the implementation manners of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the drawings provided in the following embodiments only schematically illustrate the basic concept of the present invention. Without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0062] Among them, the drawings are only for illustrative purposes, showing only schematic diagrams, not physical diagrams, and should not be construed as a limitation to the present invention; in order to better illustrate the embodiments of the present invention, some components in the drawings will be omitted, enlarged or reduced, which do not represent the dimensions of actual products; for those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0063] In the drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components; in the description of the present invention, it should be understood that if there are terms such as "upper", "lower", "left", "right", "front", "rear", etc. indicating the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, it is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, the terms describing the positional relationship in the drawings are only for illustrative purposes and should not be construed as a limitation to the present invention. For those of ordinary skill in the art, the specific meanings of the above terms can be understood according to specific circumstances.

[0064] Please refer to Figures 1 to 5 , which is a mine safety early warning and emergency management decision-making system based on "scenario - quick response chain - response".

[0065] As Figure 1 shown, the system at least includes an information input module, a multi-chain data fusion platform, a disaster situation analysis and assessment module, an emergency knowledge middle platform, a command and dispatch and emergency capacity assessment module, an emergency information receiving and publishing module, an emergency unit response feedback receiving module, an emergency response execution feedback receiving module, a status display module, and an emergency drill and training module, and it has the following functions and advantages:

[0066] 1. The system dynamically constructs the disaster knowledge graph of this mine in real time based on the historical disaster cases of the mine and the current safety hazard library found, and realizes the knowledge middle platform for emergency management auxiliary decision-making response with multi-source data fusion.

[0067] 2. A closed-loop emergency management decision-making model and a rapid linkage response architecture system driven by the integration of the "accident chain, pre-plan chain, information chain, and response chain" are proposed. An emergency expert knowledge base, an emergency personnel / material / technical equipment database, an accident case and disaster response emergency plan database, and a smart decision rule set and algorithm library (referred to as the "Four Databases and One Collection") are built to form the decision-making model foundation for multi-source data integration.

[0068] 3. The system has functional modules such as an intelligent portal, system management, event management, disaster situation and assessment, an emergency knowledge middle platform based on a knowledge graph, emergency response and decision-making deduction, emergency information reception and release, command and dispatch and emergency capacity assessment, the Four Databases and One Collection, disaster emergency drills and training, emergency intelligent decision-making services, and a rapid response terminal.

[0069] 4. The system can process disaster information in real time based on the knowledge graph and quickly match the intelligent matching of various emergency decision-making reference elements in the Four Databases and One Collection. If there are no matchable historical cases or existing emergency plans are invalid and there are conflict sets in the Four Databases and One Collection, it will automatically seek help from experts or the AI system.

[0070] 5. The platform automatically collects, analyzes, and collates opinions from all parties, forms a decision-making recommendation reference plan and report through the principle of democratic centralism. The decision-making commander operates the general management module to finally weigh and decide on the response plan, which is automatically transmitted to relevant responsible parties and persons in real time through this system, realizing the closed-loop of emergency management and linkage response, thereby improving the scientificity, compliance, and timeliness of mine disaster emergency management and decision-making response.

[0071] Specifically, in this embodiment, the information input module is set as an information collection module for collecting information. The information collection module includes a front-end collection sub-module and a back-end collection sub-module. Among them, the front-end collection sub-module is used to collect the situation at the mine site, which can be specifically divided into sensor-based collection devices and video surveillance-based collection devices. Sensor-based collection devices include temperature sensors, pressure sensors, vibration sensors, gas sensors, noise sensors, displacement sensors, etc.; the temperature sensor is used to monitor the temperature changes of mining equipment or the environment to prevent accidents caused by overheating; the pressure sensor is used to monitor the pressure changes of equipment or pipelines to detect problems such as leaks and blockages in a timely manner; the vibration sensor is installed on the equipment to monitor the vibration of the equipment in real time to detect faults such as looseness, wear, and imbalance; the gas sensor is used to monitor the gas concentration in the mine air, especially combustible gases and toxic gases, to ensure that the air quality meets safety standards; the noise sensor is used to monitor the noise level of mining operations to protect the hearing health of workers; the displacement sensor is used to monitor geological displacement, equipment position changes, etc. to prevent geological disasters and equipment accidents. Video surveillance-based collection devices include fixed cameras, inspection robots, inspection drones, etc. Among them, the fixed cameras are arranged in the form of surveillance videos to monitor the mining operation site in real time and record the equipment operation status and personnel activities; the inspection robots are used to conduct inspections according to the planned areas, including equipment status, personnel activities, etc.; the inspection drones are used to conduct inspections of the entire mine from high altitudes to monitor situations such as wildfires and slope collapses.

[0072] The back-end collection sub-module is directly connected to the Internet to obtain various relevant information from the Internet. Specifically, the information obtained by the back-end collection sub-module from the Internet includes safety instruction information and safety dynamic information. Safety instruction information refers to laws, regulations, policy documents, standards and specifications related to mine safety production; safety dynamic information includes industry trends: including development trends, technological innovations, market dynamics and other information in the domestic and international mine industries. Accident cases: case analysis, investigation reports, handling results of mine safety accidents, etc. Safety training and education: including mine safety training courses, popularization of safety knowledge, emergency drills and other contents.

[0073] The back-end collection sub-module can also access the mine safety monitoring station through an authorized interface to obtain corresponding information from the monitoring station.

[0074] Specifically, in this embodiment, the information input module is used to automatically classify the information collected by the information collection module, and then input it into the system after classification. Additionally, the information input module can also be used for operators to manually input information, such as relevant information data recorded by security personnel during on-site exploration, treatment plans for certain safety hazard events given by professionals based on their own experience, etc. When classifying information, the information input module divides it into at least monitoring information data, specification information data, accident information data, case information data, pre-plan information data, hidden danger investigation information, emergency medical information, expert information data, expert opinion data, personnel and material information data, and GIS information;

[0075] Monitoring information data refers to the real-time monitored mine safety data; specification information data refers to the data used to predict whether a mine accident will occur, which stipulates the safety indicators of various parameters under each accident; accident information data refers to the information data at the time of an accident; case information data refers to the treatment plans already taken for accidents that have occurred; pre-plan information data refers to the pre-treatment plans given for accident information that has not occurred but can be predicted; hidden danger investigation information refers to the hidden danger information detected in real time during the operation of the mine, emergency medical information refers to the relevant information of medical teams dispatched at all levels after there are casualties in the mine, expert information data refers to the relevant information of experts registered in the system; expert opinion data refers to the treatment plan information given by experts for an event; personnel and material information data refers to the relevant data of rescue team members, rescue materials, and technical equipment that have actually arrived at the rescue site, including human and material resources. GIS information refers to the relevant data information of the emergency map, such as time, place, location, name of the disaster or accident, casualties and losses, etc., the distribution of the on-site temporary emergency command post, rescue materials, and medical resources.

[0076] Specifically, in this embodiment, the emergency knowledge center includes a knowledge graph module, which is used to extract the corresponding accident prediction rules or accident judgment rules from the information input module and form a knowledge graph. Specifically, the knowledge graph module establishes a knowledge graph for judging whether a mine accident will occur or what kind of accident has occurred in the form of a knowledge graph. Specifically, it includes the following processes:

[0077] Knowledge extraction process:

[0078] Data source: It covers the official records of historical mine disasters and in-depth research literature materials, which not only record the geological conditions, disaster causes, and disaster types of the mine, but also describe the damage situation in detail. The data forms include both highly organized structured data and semi-structured data, such as text information like disaster details.

[0079] Entity extraction: For structured data, use regular expression matching technology to accurately extract entities; for unstructured data, innovatively combine the template method (based on part-of-speech tagging and keyword association analysis) with named entity recognition technology to comprehensively capture entity information. Relationship extraction: The relationships of structured data are obtained by directly parsing their relational structures; for unstructured data, this embodiment adopts advanced word vector combined with convolutional neural network (CNN) technology to deeply mine the complex relationship network between entities. Mine disaster event extraction: It is subdivided into the extraction of basic attributes (such as occurrence location, time, administrative region) and digital attributes (such as casualties, affected people, resettled people) to ensure a comprehensive understanding of disaster events.

[0080] Knowledge alignment and integration: Alignment step: Through a series of linear transformations, fuse the attribute vectors and word vectors of entities into feature vectors, and then calculate the similarity between entities to achieve accurate alignment. This process ensures the consistency and coherence among entities in the knowledge system. Fusion processing: Use disambiguation algorithms to eliminate redundancy and integrate similar or duplicate entity and relationship information. At the same time, with the help of entity linking technology, identify and connect entities with different expressions but the same essence, and merge different values of the same or similar attributes, effectively cleaning up the noise and duplicate items in the data and improving the accuracy and usability of the knowledge graph.

[0081] Knowledge graph construction: Finally, based on the high-quality knowledge content after the above alignment and fusion processing, store it in the database to construct a comprehensive and accurate mine disaster knowledge graph. This graph not only provides strong data support for mine safety management and emergency response, but also lays a solid foundation for future disaster prevention and mitigation strategy formulation.

[0082] As Figure 3 shown, the knowledge graph module draws the structured data obtained from all parties into a mine accident knowledge graph through methods such as computational reasoning, enhanced semantic computing, knowledge processing, enhanced automatic construction, modeling indexing, association mining, and enhanced knowledge representation. Specifically, the computational reasoning process means that entities (such as equipment, personnel, environment, etc.) and relationships (such as causal relationships, time sequences, spatial positions, etc.) in the knowledge graph can be used for complex logical reasoning. For example, by analyzing the timeline of equipment failures and accident occurrences, it can be inferred that certain equipment failures may be the direct causes of accidents.

[0083] The enhanced semantic computing process means that through semantic technologies (such as natural language processing, ontology, etc.), the knowledge graph can understand and interpret the deep meaning of data. This helps to capture patterns and trends that are difficult to directly observe from surface data in accident analysis, such as potential safety hazards or risk factors.

[0084] The knowledge processing process refers to the process of building a knowledge graph, which includes steps such as cleaning, integrating, and standardizing the original data. These steps ensure the quality and consistency of the data. Through knowledge processing, scattered and fragmented data can be transformed into a structured knowledge base that is easy to understand and analyze.

[0085] Enhanced automatic construction process means: using machine learning and artificial intelligence technology, the knowledge graph can automatically extract entities and relationships from multiple data sources such as text, images, and videos, thereby accelerating the graph construction process. This can not only improve construction efficiency, but also reduce the cost and error rate of manual intervention.

[0086] Modeling indexing and association mining means that the indexing and association mining functions in the knowledge graph enable users to quickly find all information related to a specific accident, including historical records of similar accidents, relevant safety regulations, possible solutions, etc. This association mining helps to discover the commonalities and differences between accidents and provides a basis for formulating more effective preventive measures.

[0087] Enhanced knowledge representation refers to the process of using a graphical representation of knowledge graphs to make complex relationships and concepts more intuitive and understandable. In mine accident management, this graphical representation helps decision makers quickly understand the overall picture and key elements of an accident, thereby making more informed decisions.

[0088] Through computational reasoning, enhanced semantic computing, knowledge processing, enhanced automatic construction, modeling indexing, association mining and enhanced knowledge representation, the application of knowledge graphs in mine accident management can significantly improve the capabilities of accident prevention, emergency response and post-event analysis, and provide strong technical support for mine safety.

[0089] Specifically, in this embodiment, at least a general database management module is set in the emergency knowledge center, including a case library management module and a plan library management module, wherein the case library management module is used to match past accidents and corresponding disposal methods, and record the final benefits obtained by the corresponding disposal methods. As time goes by, the case library management module continuously collects the accident information that has occurred and its corresponding disposal method and the final benefits of the disposal method into the case library to expand the case reserve.

[0090] Specifically, in this embodiment, the plan library management module is used to record accidents that have not occurred but are foreseeable to occur and the corresponding pre-processing plans. The plan library management module is composed of experienced professional and technical personnel who provide targeted pre-processing plans based on the actual data of the on-site survey. The pre-processing plans include prevention plans when accidents have not occurred and emergency pre-processing plans after accidents occur. The plan library is updated specifically for a certain mine.

[0091] Specifically, in this embodiment, the emergency knowledge middle platform sets up an expert knowledge base management module to schedule the emergency expert knowledge base and the hidden danger investigation set. The expert knowledge base management module is in the form of software and sets up an APP for handling emergency accidents on each preset expert communication terminal device. This APP can be installed on communication terminals such as the experts' computers and mobile phones, and has relatively high permissions after being authorized by the experts. First, when an accident occurs, if there are corresponding case handling methods or preprocessing methods in the case library or the preplan library, the expert knowledge base management module is only used for communication devices to notify relevant messages to each expert through the APP installed in each expert communication device. In this case, the expert can choose to further view the detailed message or directly close it; Second, when an accident occurs, if there are no corresponding case handling methods or preprocessing methods in both the case library and the preplan library, the APPs in the expert knowledge base management module and the hidden danger investigation set will pop up directly and cannot be closed until the expert gives corresponding solutions or opinions, and will continuously remind the expert in ways such as sound, vibration, and light to prevent the expert from ignoring the handling of this accident due to other things. When handling an emergency accident, the expert can directly propose a new solution, or approve or oppose a certain solution, or remain neutral. Among them, when approving a certain solution, the reason for approving the solution must be given, including an analysis of the advantages and disadvantages of the solution, and an explanation of still approving the solution based on the above analysis of the advantages and disadvantages; Similarly, when opposing a certain solution, the reason for opposing the solution must be given, including an analysis of the advantages and disadvantages of the solution, and an explanation of still opposing the solution based on the above analysis of the advantages and disadvantages; Remaining neutral means that in the case of multiple preselected solutions, if there is no clear approval or opposition to a certain solution, in this case, the expert needs to analyze the advantages and disadvantages of all solutions, and on the premise of giving the analysis of the advantages and disadvantages of all solutions, state that each solution is in the same position.

[0092] After the accident handling is completed, the expert knowledge base management module also scores the experts according to the effects obtained from the corresponding solutions and the opinions of each expert. The specific rules are as follows: for example, in the case where the solution achieves beneficial effects, the expert who proposed the solution is scored according to the first scoring bracket, the expert who gave an opinion in favor of the solution is scored according to the second scoring bracket, the expert who gave a neutral opinion is not scored, and the expert who gave an opinion against the solution is deducted points according to the second deduction bracket; in the case where the beneficial effects of the solution are insufficient but no major losses are caused, the expert who proposed the solution is scored according to the second scoring bracket, and the scores of the other experts remain unchanged; in the case where major losses are caused due to the defects of the solution itself, the expert who proposed the solution is deducted points according to the first deduction bracket, the expert who gave an opinion in favor of the solution is deducted points according to the second deduction bracket, the scores of the experts who gave neutral solutions remain unchanged, and the expert who gave an opinion against the solution is scored according to the first scoring bracket. Moreover, corresponding reward and punishment mechanisms are set for the scores of each expert, and corresponding reward and punishment mechanisms are also set for single-point score changes to improve the enthusiasm of the experts. The above rules are adopted when each expert has fully fulfilled their obligations and has not violated relevant laws and regulations. If an expert violates relevant laws and regulations, safety regulations and other relevant provisions, the prescribed disposal methods shall be given priority.

[0093] Specifically, in this embodiment, the decision-making model of the emergency knowledge center based on "scenario - rapid response chain - response" makes decisions on emergency handling plans when an accident occurs. As Figure 2 shown, after the emergency knowledge center receives the disaster information, the decision-making model first matches in the case library according to the accident information to find out whether there are the same or similar cases. If there are the same or similar cases, it further queries the corresponding handling methods and handling effects. In the case of good handling effects, the decision-making model selects the handling method of the same or similar case for recommendation. When there are multiple same or similar cases, the decision-making model screens the cases according to the similarity; in the case where each case has multiple good handling methods, the decision-making model screens the handling methods according to the handling effects. If the decision-making model does not match the same or similar cases in the case library, or the handling effects of the corresponding handling methods in the matched same or similar cases are not good, the decision-making model queries whether there is a corresponding accident plan in the plan library. If there is a corresponding accident plan, it takes the accident plan as the handling recommendation; if there is no corresponding accident plan, it further searches for handling method recommendations in the expert knowledge base. Specifically, the decision-making model sends a recommendation request to the expert knowledge base management module and at the same time sends the accident information to the expert knowledge base management module. After receiving the recommendation request, the expert knowledge base management module immediately sends the recommendation request through the APP installed on the communication devices of each expert and pops up a relevant interface on the device. Each expert completes the handling plan recommendation according to the requirements of the expert knowledge base management module, and the decision-making model takes the recommended plan of the expert as the recommended plan.

[0094] In the decision-making model, when a certain plan is given approval, opposition, or neutral opinions by several experts, it decides whether to recommend the plan through the following methods: First, according to the majority principle, if the number of experts in favor of the plan is greater than the number of experts against the plan, the plan is recommended; if the number of experts in favor of the plan is less than the number of experts against the plan, the plan is not recommended; if the number of experts in favor of the plan is equal to the number of experts against the plan, it is decided whether to recommend based on comparing the total scores of all experts in favor of the plan and the total scores of all experts against the plan. If the total score of all experts in favor of the plan is greater than the total score of all experts against the plan, the plan is still recommended; if the total score of all experts in favor of the plan is less than the total score of all experts against the plan, the plan is not recommended; if the total score of all experts in favor of the plan is equal to the total score of all experts against the plan, the decision-making model gives a prompt and the overall person in charge decides whether to recommend.

[0095] Specifically, in this embodiment, the command and dispatch and emergency response capacity assessment module is used to manage the human and material resources for emergency rescue. Among them, the command and dispatch and emergency response capacity assessment module divides the human and material resources into at least three levels. The first level is the human and material resources for the emergency rescue of the mining enterprise itself, the second level is the human and material resources that enterprises or specialized rescue agencies around the accident site can provide corresponding rescue measures, and the third level is the human and material resources mobilized from a long distance for emergency rescue. The command and dispatch and emergency response capacity assessment module determines the mobilization situation of human and material resources according to the final plan given by the general management module, and immediately sends the call information of human and material resources to the corresponding unit or agency after confirmation. The corresponding unit and agency call human and material resources according to the plan in the call information after receiving the call information, and give feedback to the command and dispatch and emergency response capacity assessment module. The command and dispatch and emergency response capacity assessment module records the feedback information of each called unit or agency for subsequent reference. The human and material resources at least refer to personnel or equipment such as emergency personnel / materials / technical equipment, etc.

[0096] The output module is used to display the final processing plan recommended by the decision-making model. Among them, the output module transmits the final processing plan to display devices with display functions such as a central display screen and an expert terminal for viewing. Preferably, in the final plan output by the output module to each display device, only the accident information, the corresponding disposal plan, or the opinions of approval, opposition, or neutrality for a certain plan are displayed, without displaying their identity information.

[0097] The general management module is logged in by the general manager through an authorized personal account. The person logging in to the general management module is the general person in charge, who has the ultimate decision-making authority. After the general manager of the general management module confirms the final plan, the general management module immediately sends the determined plan to relevant personnel such as grass-roots personnel and management personnel, and immediately sends the determined plan to the command and dispatch and emergency capacity assessment module, which mobilizes the corresponding human and material resources according to the plan, so as to form a "scenario - rapid response chain - response" rapid emergency management decision integrating the accident chain, the pre-plan chain, the information chain and the rapid response chain, improving the timeliness, scientificity and standardization when emergency events occur.

[0098] Additionally, the present invention also sets up an emergency drill and training module. Based on the mine safety and emergency management corresponding decision-making system of the present invention, during idle time, that is, when no safety accidents occur, relevant personnel can be trained on mine safety and emergency management drills of mine safety accidents through this system. For example, the drills and training can be carried out from the following aspects:

[0099] Design realistic emergency drill scenarios by using the knowledge graph constructed from mine historical disaster cases and the current safety hazard library. Incorporate the concept of "integration of accident chain, pre-plan chain, information chain and response chain" into the drills, and simulate the full-chain response process when real disasters occur.

[0100] Formulate comprehensive emergency training content by combining multiple data such as the emergency expert knowledge base, the emergency personnel / material / technical equipment library, accident cases and disaster response emergency pre-plans. Emphasize the application of the intelligent decision-making rule set and algorithm library in the training to improve the scientific decision-making ability of the trainees in disaster response.

[0101] Organize and manage emergency drill and training activities by using the intelligent portal and management functions of the system. During the drills and training, the content of the knowledge graph and the four libraries and one set are called in real time to provide intelligent assistance and reference for the trainees.

[0102] Design special emergency drill scenarios for the situation where there are no matchable historical cases in the four libraries and one set or the existing emergency pre-plans are invalid and there are conflict sets. Teach the trainees how to seek help from experts or AI systems during the training and learn how to quickly form a decision recommendation reference plan.

[0103] Emphasize the closed-loop concept of emergency management and joint response, and simulate the whole process from disaster occurrence to response, decision-making, and communication to the responsible parties during the drill. During the training, teach the participants how to use the system to achieve the closed-loop of emergency management and response, and improve the scientificity and timeliness. Provide specialized emergency decision-making and command ability training for key roles such as the decision-making commander. The training content includes how to use the system for democratic centralism decision-making, weigh and decide on response plans, etc. Simulate the process of the system transmitting the response plan to relevant responsible parties and persons in charge in real time during the drill. Train the participants on how to quickly respond to and execute the emergency decisions and instructions transmitted by the system.

[0104] The system sets up a permission management module for corresponding permission allocation to different personnel accounts.

[0105] The system also sets up a login management module for recording, modifying, and verifying the account information of logged-in personnel, preventing external personnel from accessing the system randomly, and enhancing the system security.

[0106] Additionally, the mine safety early warning and emergency management decision-making system can be directly connected to the existing safety accident handling systems of coal mines or non-coal mines, and participate in the early warning decision-making of the existing safety accident handling systems; among which:

[0107] Such as Figure 4Combined schematic diagram of the system of the present invention shown and the existing safety accident handling system for coal mines. When a disaster accident occurs, it is first reported to the mine emergency duty office and then reported from there to the accident unit, the general commander of the emergency command center, and all deputy commanders. Then, the command center decides whether to initiate off-mine emergency management decision-making and linkage response. At the same time, the command center reports to its own emergency duty office. If so, the county, city, department, and emergency management and support service departments issue early warnings, and the county, city, department, and emergency management and support service departments initiate the mine safety early warning and emergency management decision-making system for auxiliary decision-making and send relevant instructions to the corresponding parts according to the decision results. If not, the in-mine emergency response plan is initiated, and then a on-site emergency rescue command center is established and an emergency meeting is held. At the same time, all members of the emergency command center are notified to arrive at the emergency duty office. The on-site emergency rescue command center reports to the general commander at the same time. Then, rescue operations are carried out, including the material supply group providing emergency rescue materials and equipment, the technical support group providing technical support, the security and protection group providing security and protection logistics support, and the emergency rescue group entering the accident area for emergency rescue. The medical rescue group of the emergency rescue group treats the injured. At the same time, the on-site emergency rescue command center continuously optimizes the rescue plan according to the disaster. Further judge whether the situation is under control. If so, the accident is eliminated, the emergency ends, and the fund guarantee group is responsible for verifying the expenses generated by the accident rescue and appropriating them in a timely manner. The aftermath handling group conducts aftermath handling. The accident unit resumes production order, and the general commander and deputy commanders of the emergency rescue command center conduct an end summary. The rescue evaluation group evaluates the process of the accident emergency rescue. If not, the rescue is expanded. Specifically, the emergency command center requests help from the production command center of the superior company, the agreement rescue team, the agreement hospital, the local government, and neighboring enterprises, and applies for an upgrade of the response. The mine safety early warning and emergency management decision-making system can be the upgrade response party;

[0108] As Figure 5Combined schematic diagram of the system of the present invention shown and the existing safety accident handling system for non-coal mines. When a safety accident occurs, the first discoverer makes an alarm, and the mine emergency leading group judges the level of the alarm situation and confirms whether to initiate off-mine emergency management decision-making and linkage response. If so, the mine safety early warning and emergency management decision-making system makes an auxiliary decision; if not, the in-mine plan is initiated, reported to the higher-level competent unit of the mine, and at the same time, it is notified that the on-site commander of the mine arrives, the mine emergency personnel arrive, and the ore emergency resources are allocated in place, and then rescue operations are carried out, including personnel rescue, medical treatment, personnel evacuation, on-site monitoring, environmental protection, expert support, engineering emergency rescue, and security and traffic control; it is judged whether it is under control according to the rescue result. If so, emergency restoration is carried out, including on-site cleaning, lifting of the security cordon, aftermath handling, and accident investigation. At the same time, the in-mine emergency response ends, and a summary review is carried out; if not, reinforcement is requested, and the reinforcement includes initiating the mine safety early warning and emergency management decision-making system to make an auxiliary decision; for each decision in the above process, information closed-loop feedback is carried out and timely feedback is sent to the alarm person.

[0109] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the purpose and scope of the present technical solution, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A mine safety early warning and emergency management decision-making system based on "scenario-rapid response chain-response", characterized by: It includes: Information input module, multi-chain data fusion platform, disaster situation analysis and assessment module, emergency knowledge center, command dispatch and emergency capability assessment module, emergency information receiving and publishing module, emergency unit response feedback receiving module, emergency response execution feedback receiving module, status display module and emergency drill and training module, The information input module inputs various types of information into the system, and the multi-chain data fusion platform organizes the accident chain, information chain, plan chain and rapid response chain based on various types of information. The disaster situation analysis and assessment module then analyzes and assesses the disaster situation based on the "four-chain fusion", obtains a disaster trend chart and determines whether there is a disaster. If there is no disaster or the disaster has been dealt with, the status display module outputs continuous monitoring information or recovery status after the disaster is dealt with. If a disaster occurs or still exists, the disaster trend chart and various types of information are transmitted to the emergency knowledge center for emergency decision-making. The emergency knowledge center gives a decision-making plan, and the command and dispatch and emergency capability assessment modules respond to the decision-making plan given. The implementation capability of the previous rescue response unit is evaluated. If the current response unit has the implementation capability, the execution instruction is output. If the implementation capability of the current response unit is insufficient, the disaster situation and decision-making plan are released to other emergency rescue units through the emergency information receiving and publishing module, and the information of the responding emergency unit is confirmed through the emergency unit response feedback receiving module, and the implementation capability is evaluated again until the implementation capability is able to be issued. After all response units receive the execution instruction and execute the decision according to the decision plan, the execution feedback is passed to the disaster situation analysis and assessment module again through the emergency response execution feedback receiving module for evaluation, and the corresponding decision is executed again according to the evaluation result. Among them, the emergency knowledge center at least has a decision model based on "scenario-rapid response chain-response", and the decision-making process of the decision-making model is: Based on the disaster information, firstly match the historical case database (not limited to the historical disaster or accident case database that occurred in this mine) to find out whether there are the same or similar cases; If there are identical or similar cases in the case library, further query the corresponding disposal methods and disposal effects. If the disposal effect is good, the decision model selects the disposal method of the identical or similar case for recommendation push. If there are multiple identical or similar cases, the decision model screens the cases according to the similarity. If there are multiple good disposal methods for each case, the decision model screens the disposal methods according to the disposal effect. If no identical or similar cases are matched in the case library, or the corresponding handling methods in the identical or similar cases that are matched are not effective, the decision model will query whether there is a corresponding accident plan in the existing plan library of the mine. If there is a corresponding accident plan, the accident plan will be used as the handling suggestion; if there is no corresponding accident plan, further handling method suggestions will be sought in the expert knowledge base and the hidden danger investigation center that is updated in real time; the decision model sends a suggestion request to the expert knowledge base management module and the hidden danger investigation center that is updated in real time, and at the same time sends the accident information to the expert knowledge base management module and the hidden danger investigation center that is updated in real time. After receiving the suggestion request, the expert knowledge base management module and the hidden danger investigation center that is updated in real time will immediately send a suggestion request through the APP installed on the communication equipment of each expert, and the decision model will use the expert's suggestion plan as the recommended plan.

2. The mine safety early warning and emergency management decision-making system based on "scenario-rapid response chain-response" according to claim 1 is characterized by: The emergency knowledge center sets up an expert knowledge base management module to centrally dispatch the emergency expert knowledge base and the hidden danger investigation that is updated in real time. The expert knowledge base management module and the hidden danger investigation that is updated in real time use software to set up an APP for handling emergency accidents on each preset expert communication terminal device. The APP is installed on the communication terminal of each expert and has higher authority after being authorized by the expert. First, when an accident occurs, if there is a corresponding case processing method or pre-processing method in the case library or plan library, the expert knowledge base management module is only used for communication devices, and the relevant messages are notified to each expert through the APP installed in each expert's communication device. In this case, the expert can choose to further view the detailed message or close it directly; Second, when an accident occurs, if there is no corresponding case handling method or pre-processing method in the case library or plan library, the expert knowledge base management module and the real-time updated hidden danger investigation concentrated APP will pop up directly and cannot be closed before the expert gives the corresponding solution or opinion, and will continue to use sound, vibration, and light to remind the expert; When dealing with emergencies, experts can: directly propose new solutions, agree or disagree with a solution, or remain neutral; Among them, when agreeing with a certain plan, the reasons for agreeing with the plan must be given, including an analysis of the advantages and disadvantages of the plan, and an explanation of why the plan is still agreed with on the premise of the aforementioned advantages and disadvantages analysis; similarly, when opposing a certain plan, the reasons for opposing the plan must be given, including an analysis of the advantages and disadvantages of the plan, and an explanation of why the plan is still opposed on the premise of the aforementioned advantages and disadvantages analysis; maintaining neutrality means that when there are multiple pre-selected plans, there is no clear agreement or opposition to a certain plan. In this case, the expert needs to analyze the advantages and disadvantages of all plans, and on the premise of giving the advantages and disadvantages analysis of all plans, an explanation is given to show that each plan is in the same position.

3. The mine safety early warning and emergency management decision-making system based on "scenario-rapid response chain-response" according to claim 2 is characterized by: After the accident is handled, the expert knowledge base management module and the real-time updated hidden danger investigation set will also score the experts according to the results of the corresponding solutions and the corresponding opinions of each expert. The specific rules include: If the plan achieves beneficial results, experts who propose the plan will be awarded points according to the first bonus level, experts who agree with the plan will be awarded points according to the second bonus level, experts who give neutral opinions will not be awarded points, and experts who oppose the plan will be deducted points according to the second deduction level; In the case that the beneficial effect of the plan is insufficient but no major losses are caused, the expert who proposed the plan will be awarded extra points according to the second bonus level, and the scores of the other experts will remain unchanged; In the event that a plan has defects that cause significant losses, experts who proposed the plan will be deducted points according to the first deduction level, experts who agree with the plan will be deducted points according to the second deduction level, experts who proposed a neutral plan will have their scores remain unchanged, and experts who oppose the plan will be awarded points according to the first bonus level; In addition, a corresponding reward and punishment mechanism is set up for each expert's score, and a corresponding reward and punishment mechanism is also set up for a single change in score.

4. The mine safety early warning and emergency management decision-making system based on "scenario-rapid response chain-response" according to claim 3 is characterized by: The decision-making model based on "scenario-rapid response chain-response" decides whether to recommend a plan in the following ways when several experts give a favorable, unfavorable or neutral opinion on the plan: First, according to the majority principle, if the number of experts who support the plan is greater than the number of experts who oppose it, the plan will be recommended; if the number of experts who support the plan is less than the number of experts who oppose it, the plan will not be recommended; If the number of experts who support the plan is the same as the number of experts who oppose the plan, the decision on whether to recommend it is based on comparing the total scores of all experts who support the plan with the total scores of all experts who oppose the plan; If the total score of all experts who support the plan is greater than the total score of all experts who oppose the plan, the plan is still recommended; If the total score of all experts who support the plan is less than the total score of all experts who oppose the plan, the plan will not be recommended; If the total score of all experts who support the plan is the same as the total score of all experts who oppose the plan, the decision model will give a prompt and the person in charge will decide whether to recommend it.

5. The mine safety early warning and emergency management decision-making system based on "scenario-rapid response chain-response" according to claim 1 is characterized by: The information input module is provided with an information collection module for collecting information. The information collection module includes a front-end collection submodule and a back-end collection submodule. The front-end collection submodule is used to collect the situation at the mine site, and is divided into sensor collection equipment and video monitoring collection equipment; Sensor acquisition equipment includes temperature sensors, pressure sensors, vibration sensors, gas sensors, noise sensors, and displacement sensors; Video surveillance acquisition equipment includes fixed cameras, inspection robots, and inspection drones; The back-end collection submodule is directly connected to the Internet to obtain various relevant information from the Internet; the information obtained by the back-end collection submodule from the Internet includes security instruction information and security dynamic information; The back-end acquisition submodule also accesses the mine safety monitoring station through an authorized interface to obtain corresponding information from the monitoring station.

6. The mine safety early warning and emergency management decision-making system based on "scenario-rapid response chain-response" according to claim 1 is characterized by: The information input module inputs information types into the system including: monitoring information data, specification information data, accident information data, case information data, plan information data, hidden danger investigation information, emergency medical information, expert information data, expert opinion data, personnel and material information data, and GIS information; Monitoring information data refers to the real-time monitoring of mine safety data; normative information data refers to the data used to predict whether an accident will occur in a mine, which stipulates the safety indicators of various parameters under each accident; accident information data refers to the information data at the time of the accident; case information data refers to the treatment plan that has been taken for the accident that has occurred; plan information data refers to the pre-treatment plan given for the accident information that has not occurred but is foreseeable; hidden danger investigation information refers to the hidden danger information found in real time during the operation of the mine; emergency medical information refers to the relevant information of the medical team dispatched at all levels after there are casualties in the mine; expert information data refers to the relevant information of experts registered in the system; expert opinion data refers to the treatment plan information given by experts for the incident; personnel and material information data refers to the data related to the rescue team members, rescue materials and technical equipment that are actually in place for rescue, including manpower and material resources; GIS information refers to the data information related to an emergency map, such as time, place, location, name of the disaster or accident, casualties and losses, on-site temporary emergency command center, and distribution of rescue materials and medical resources.

7. The mine safety early warning and emergency management decision-making system based on "scenario-rapid response chain-response" according to claim 1 is characterized by: The emergency knowledge platform includes a knowledge graph module, which uses the knowledge graph to establish a knowledge graph for judging whether an accident will occur in a mine or what kind of accident has occurred. The process includes: Entity extraction: For structured data, regular expression matching technology is used to extract entities; for unstructured data, entity information is extracted based on part-of-speech tagging, keyword association analysis, and named entity recognition technology; Relationship extraction: The relationships of structured data are obtained by directly parsing their relational structures; for unstructured data, advanced word vectors combined with convolutional neural network technology are used to mine the complex relationship network between entities; Alignment step: Through linear transformation, the attribute vector of the entity and the word vector are merged into a feature vector, and then the similarity between entities is calculated to achieve alignment; Knowledge graph construction: Based on the knowledge content after alignment and fusion processing, it is stored in various databases (case library, plan library, experts and their knowledge base, algorithm library or rule set, personnel and material library) to build a mine disaster knowledge graph.

8. The mine safety early warning and emergency management decision-making system based on "scenario-rapid response chain-response" according to claim 1 is characterized by: The emergency knowledge center is provided with at least a general database management module, including a case library management module and a plan library management module, wherein the case library management module continuously records the accident information and the corresponding disposal methods and the final benefits of the disposal methods into the case library over time; The plan library management module is provided by professional technicians based on the actual data of on-site surveys to provide targeted pre-processing plans. The pre-processing plans include prevention plans before accidents occur and emergency pre-processing plans after accidents occur. The plan library is updated specifically for a certain mine.

9. The mine safety early warning and emergency management decision-making system based on "scenario-rapid response chain-response" according to claim 1 is characterized by: The command and dispatch and emergency capability assessment module is used to manage the manpower and material resources for emergency rescue, and to assess the corresponding emergency capability and implementation capability. The emergency rescue material warehouse management module divides the manpower and material resources into at least three levels, of which the first level is the manpower and material resources for emergency rescue of the mining enterprise itself, the second level is the manpower and material resources that can provide corresponding rescue measures from enterprises around the accident site or special rescue agencies, and the third level is the manpower and material resources for emergency rescue mobilized over long distances; The command and dispatch and emergency capability assessment module determines the mobilization of manpower and material resources according to the decision made by the emergency knowledge center, and immediately sends the manpower and material resource call information to the corresponding units or institutions after confirmation. After receiving the call information, the corresponding units and institutions call manpower and material resources according to the plan in the call information, and provide feedback to the emergency response execution feedback receiving module; the emergency response execution feedback receiving module records the feedback information of each called unit or institution; The emergency drill and training module interacts with the command and dispatch and emergency capability assessment module to train emergency personnel or drill emergency decision-making in a "peacetime and wartime" manner. "Peacetime and wartime" means conducting drills when no disaster occurs and carrying out actual rescue when a disaster occurs.

10. The mine safety early warning and emergency management decision-making system based on "scenario-rapid response chain-response" according to any one of claims 1 to 9, characterized in that: The mine safety early warning and emergency management decision-making system can be directly connected to the existing safety accident handling system of coal mines or non-coal mines, and participate in the early warning decision-making of the existing safety accident handling system; wherein, In the existing safety accident handling system for coal mines, when a disaster accident occurs, it is first reported to the mine emergency duty office and then reported to the accident unit and the commander-in-chief and all deputy commanders of the emergency command center. The command center then decides whether to initiate emergency management decisions and joint responses outside the mine, and reports to its own emergency duty office at the same time; if so, the county, city, department and emergency management and support service departments will issue an early warning, and the county, city, department and emergency management and support service departments will activate the mine safety early warning and emergency management decision-making system to assist in decision-making, and send relevant instructions to the corresponding parts based on the decision results; if not, the mine emergency response plan will be activated, and then an on-site emergency rescue command center will be established and an emergency meeting will be held. At the same time, all members of the emergency command center will be notified to be in place at the emergency duty office, and the on-site emergency rescue command center will report to the commander-in-chief at the same time; then rescue operations will be carried out, including emergency rescue provided by the material supply group Materials and equipment, technical support provided by the technical support group, security and logistical support provided by the security group, and emergency rescue team entering the accident area for emergency rescue, and the medical rescue team of the emergency rescue team treats the wounded; at the same time, the on-site emergency rescue headquarters continuously optimizes the rescue plan according to the disaster; further judges whether the situation is under control, if so, the accident is eliminated, the emergency is over, the financial support group is responsible for verifying the cost of accident rescue and timely payment; the aftermath handling group conducts aftermath handling; the accident unit restores production order and the commander-in-chief and deputy commander-in-chief of the emergency rescue headquarters make a summary, and the rescue assessment group evaluates the accident emergency rescue process; if not, the rescue is expanded, and the emergency headquarters specifically seeks help from the superior company's production command center, the agreed rescue team, the agreed hospital, the local government, and neighboring enterprises to apply for response upgrade, and the mine safety early warning and emergency management decision-making system can serve as the upgraded responder; In the existing safety accident handling system for non-coal mines, when a safety accident occurs, the first discoverer will report it to the police, and the mine emergency leadership group will judge the alarm level and confirm whether to initiate emergency management decisions and linkage responses outside the mine. If so, the mine safety early warning and emergency management decision-making system will assist in decision-making; if not, the mine plan will be activated and reported to the superior competent unit of the mine, and at the same time, the mine site commander, mine emergency personnel, and ore emergency resources will be notified to be in place, and then rescue operations will be carried out, including personnel rescue, medical rescue, personnel evacuation, on-site monitoring, environmental protection, expert support, engineering rescue, warning and traffic control; it will be determined whether it is under control based on the rescue results. If so, emergency recovery will be carried out, including on-site cleaning, lifting of the warning, post-accident handling and accident investigation. At the same time, the emergency response in the mine will be completed and a summary and review will be conducted; if not, reinforcements will be requested, and reinforcements will include activating the mine safety early warning and emergency management decision-making system to assist in decision-making; each decision in the above process will conduct information closed-loop feedback and be fed back to the person who reported the accident in a timely manner.

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