Coal mine safety multi-dimensional control method and system based on compliance identification and judgment

Abstract

The present application provides a method, system, computer-readable medium and electronic device for multi-dimensional management and control of coal mine safety based on compliance identification and judgment. Collect production data generated during the coal mine production process; based on the production data, construct a clue indicator model for identifying clue information; based on the clue indicator model and the indicator rules during the operation of the coal mine, generate clue information for identifying mine safety compliance; based on the clue information, construct a management and control system applied to mine safety compliance; based on the management and control systems of multiple mines, construct a supervision system applied to mining area safety compliance; based on the supervision systems of multiple mining areas, construct a multi-dimensional management and control system for safety compliance that supports scientific supervision from a supervisory perspective. This solution replaces the traditional law enforcement model of the supervisory role and the traditional supervisory work model of the supervisory role, avoids errors caused by relying on manual experience for problem discovery and analysis, and greatly improves the accuracy and efficiency of compliance identification and judgment, supervision and supervisory law enforcement.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and more specifically, to a method, system, computer-readable medium and electronic device for multi-dimensional coal mine safety management and control based on compliance identification and determination. Background Art

[0002] In the field of coal mine production, risk identification, assessment and management of the production process can be said to be the basis of safety management. Effective risk identification and assessment research can provide relevant basis for safety managers to make decisions, thus providing important guarantees for the safety of production. Therefore, it is necessary to effectively use coal mine safety big data, determine appropriate evaluation criteria, and select efficient identification and evaluation models to effectively evaluate the overall safety situation of coal mines.

[0003] In view of the accident risks existing in the production process of coal mining enterprises, if the safety situation can be effectively identified, evaluated and managed during the production process, the occurrence of coal mining accidents can be reduced to a great extent. However, in the actual safety compliance management and control of mining industry, there are the following problems:

[0004] 1. Currently, there are no safety standards and laws and regulations that meet the actual development needs of mining companies. In particular, there are no corresponding standard texts to support daily production compliance assessments in terms of safety technical standards. There is also a lack of effective and scientific assessment standards for daily inspections. Some mine inspectors complete safety inspections based solely on experience, which is highly artificial and subjective, and it is difficult to ensure the accuracy and consistency of identification and assessment results.

[0005] 2. In the mining industry, since it involves many complex production links and potential safety risks, it is necessary to carry out compliance identification, judgment, evaluation and management in multiple aspects, and generate corresponding evaluation standards for each module and production line. This will result in a large amount of standard preparation work in the early stage of safety compliance, as well as a series of challenges such as the possible inconsistency of evaluation and identification standards, resource allocation and priority issues, cross-departmental coordination and cooperation difficulties, and continuous updating and adaptability issues. Summary of the invention

[0006] The embodiments of the present application provide a method, system, computer-readable medium and electronic device for multi-dimensional coal mine safety management and control based on compliance identification and judgment, which can at least to a certain extent solve the problem of low efficiency in the coal mine safety management and control process.

[0007] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by the practice of the present application.

[0008] According to one aspect of the present application, a multi-dimensional coal mine safety management and control method based on compliance identification and determination is provided, comprising:

[0009] Collect production data generated during the coal mine production process; based on the production data, construct a clue indicator model for identifying clue information; based on the clue indicator model and the indicator rules during the operation of the coal mine, generate clue information for identifying mine safety compliance; based on the clue information, construct a management and control system for mine safety compliance; based on the management and control systems of multiple mines, construct a supervision system for mine area safety compliance; based on the supervision systems of multiple mining areas, construct a multi-dimensional management and control system for safety compliance that supports scientific supervision from a supervisory perspective.

[0010] In the present application, based on the aforementioned scheme, the collection of production data generated during the coal mine production process includes: obtaining the production data generated during the coal mine production process through various sensors; connecting to the gateway through a serial port gateway, and uploading the production data to a monitoring host computer or cloud platform through the gateway.

[0011] In the present application, based on the aforementioned scheme, after obtaining the production data generated in the coal mine production process through various sensors, it also includes: integrating the collected data to form a unified data set; cleaning the data in the data set to obtain the cleaned production data.

[0012] In the present application, based on the aforementioned scheme, a clue indicator model for identifying clue information is constructed based on the production data, including: obtaining safety compliance specifications applied to coal mines; based on the safety compliance specifications, standardizing the production data to generate standard data; based on coal mine production rules, instantiating the standard data to generate a clue indicator model for identifying clue information.

[0013] In the present application, based on the aforementioned scheme, the management and control system based on multiple mines constructs a supervision system for safety and compliance in mining areas, including: integrating the safety management systems and data sources of each mine based on the management and control system of multiple mines, and establishing a unified data interface and protocol; using data analysis technology to construct a supervision system for safety and compliance in mining areas.

[0014] In the present application, based on the aforementioned scheme, the management and control system based on multiple mines, after building a supervision system for safety and compliance in mining areas, also includes: analyzing input data based on predefined program instructions in the supervision system; when the supervision system detects safety risks or potential accidents, it automatically triggers a warning notification according to preset warning thresholds and rules.

[0015] In this application, based on the aforementioned solution, the forms of the warning notification include SMS, email, and APP push.

[0016] According to one aspect of the present application, a coal mine safety multi-dimensional management and control system based on compliance identification and determination is provided, comprising:

[0017] A collection unit, used to collect production data generated during the coal mine production process;

[0018] A model unit, for constructing a clue indicator model for identifying clue information based on the production data;

[0019] A clue unit, for generating clue information for identifying safety compliance of the mine based on the clue indicator model and the indicator rules in the coal mine operation process;

[0020] A control unit, used to build a control system for mine safety and compliance based on the clue information;

[0021] Supervision unit, which is used to build a supervision system for safety and compliance in mining areas based on the management and control systems of multiple mines;

[0022] The monitoring unit is used to build a multi-dimensional safety and compliance management and control system that supports scientific monitoring from a monitoring perspective based on the supervision system of multiple mining areas.

[0023] In the present application, based on the aforementioned scheme, the collection of production data generated during the coal mine production process includes: obtaining the production data generated during the coal mine production process through various sensors; connecting to the gateway through a serial port gateway, and uploading the production data to a monitoring host computer or cloud platform through the gateway.

[0024] In the present application, based on the aforementioned scheme, after obtaining the production data generated in the coal mine production process through various sensors, it also includes: integrating the collected data to form a unified data set; cleaning the data in the data set to obtain the cleaned production data.

[0025] In the present application, based on the aforementioned scheme, a clue indicator model for identifying clue information is constructed based on the production data, including: obtaining safety compliance specifications applied to coal mines; based on the safety compliance specifications, standardizing the production data to generate standard data; based on coal mine production rules, instantiating the standard data to generate a clue indicator model for identifying clue information.

[0026] In the present application, based on the aforementioned scheme, the management and control system based on multiple mines constructs a supervision system for safety and compliance in mining areas, including: integrating the safety management systems and data sources of each mine based on the management and control system of multiple mines, and establishing a unified data interface and protocol; using data analysis technology to construct a supervision system for safety and compliance in mining areas.

[0027] In the present application, based on the aforementioned scheme, the management and control system based on multiple mines, after building a supervision system for safety and compliance in mining areas, also includes: analyzing input data based on predefined program instructions in the supervision system; when the supervision system detects safety risks or potential accidents, it automatically triggers a warning notification according to preset warning thresholds and rules.

[0028] In this application, based on the aforementioned solution, the forms of the warning notification include SMS, email, and APP push.

[0029] According to one aspect of the present application, a computer-readable medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the multi-dimensional coal mine safety management and control method based on compliance identification and judgment as described in the above embodiment is implemented.

[0030] According to one aspect of the present application, an electronic device is provided, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the multi-dimensional coal mine safety management and control method based on compliance identification and judgment as described in the above-mentioned embodiments.

[0031] According to one aspect of the present application, a computer program product or a computer program is provided, the computer program product or the computer program including computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the multi-dimensional coal mine safety management and control method based on compliance identification and determination provided in the above-mentioned various optional implementations.

[0032] In the technical solution of the present application, production data generated during the production process of a coal mine is collected; based on the production data, a clue indicator model for identifying clue information is constructed; based on the clue indicator model and the indicator rules during the operation of the coal mine, clue information for identifying mine safety compliance is generated; based on the clue information, a management and control system for mine safety compliance is constructed; based on the management and control systems of multiple mines, a supervision system for mine area safety compliance is constructed; based on the supervision systems of multiple mining areas, a multi-dimensional management and control system for safety compliance that supports scientific supervision from a supervisory perspective is constructed.

[0033] The technical solution of this application is to analyze and judge the relevant provisions and normative clauses, so as to analyze them into subdivided indicators and form an indicator model, so as to solve the current problems that coal mine personnel do not understand information technology, information personnel do not understand coal mine business, etc., which leads to the difficulty of accurate abstraction of indicator rule models. The construction of the rule engine breaks down industry barriers and solves the problems of non-standard data, difficult to split indicators, and difficult to establish rules. Through the three-layer role-end architecture design, data standardization processing and multi-dimensional adaptation open up the vertical and horizontal scenes of coal mines, supervision, and inspection, forming a system of autonomous management of the whole process of safety compliance and clue identification throughout the "mine-supervision-supervision". Replace the manual inspection method of coal mines, replace manual inspections and manual research and analysis with scientific, accurate and effective identification methods, provide coal mines with identification and early warning of safety hazards, and form a safety guarantee mechanism for timely handling of problems and early detection of hazards. Replace the traditional law enforcement model of the supervisory role and the traditional supervision work model of the supervisory role, avoid the errors caused by relying on manual experience to discover and judge problems, greatly improve the accuracy and efficiency of identification, judgment, supervision and supervision law enforcement, and form an intelligent clue inspection system for scientific decision-making, scientific supervision, and supervision law enforcement.

[0034] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0036] Figure 1 A flowchart of a multi-dimensional coal mine safety management and control method based on compliance identification and judgment in one embodiment of the present application is schematically shown.

[0037] Figure 2 The schematic diagram schematically shows the data flow on the mine side in an embodiment of the present application.

[0038] Figure 3 A schematic diagram of a coal mine safety multi-dimensional management and control system based on compliance identification and judgment in an embodiment of the present application is schematically shown.

[0039] Figure 4 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown. DETAILED DESCRIPTION

[0040] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this application will be more comprehensive and complete and fully convey the concept of the example embodiments to those skilled in the art.

[0041] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, known methods, systems, implementations or operations are not shown or described in detail to avoid blurring the various aspects of the application.

[0042] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0043] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0044] The implementation details of the technical solution of this application are described in detail below:

[0045] Figure 1 The flowchart of the multi-dimensional coal mine safety control method based on compliance identification and determination according to an embodiment of the present application is shown. Figure 1 As shown, the multi-dimensional coal mine safety control method based on compliance identification and determination includes at least steps S110 to S160, which are described in detail as follows:

[0046] In step S110, production data generated during the coal mine production process is collected.

[0047] In one embodiment of the present application, coal mine sensor data and document data are collected through databases, message queues (MQTT / KFK, etc.), document files, APIs, manual entry, etc., supporting access to multiple data sources, including structured data, unstructured data, and semi-structured data.

[0048] Data access supports multiple protocols, and data pre-processing such as cleaning and deduplication can be performed during collection.

[0049] This embodiment supports the creation or connection of information from multiple resource libraries, and automatically imports the data sources existing in the corresponding resource libraries. In addition, it also includes the following functions:

[0050] 1. Data integration, obtain the data collection source and conversion script information in the resource library, and display them on the interface. Support manual configuration, real-time adjustment of data collection and data conversion logic, and have a graphical interface;

[0051] 2. Timing strategy: configure data access tasks according to the frequency of data changes in each subsystem;

[0052] 3. Task management: manage data conversion tasks, classify conversion scripts in a visual way and bind corresponding timing strategies, and support the start, stop, and retry mechanism of control conversion tasks;

[0053] 4. Data supervision: graphically display the number of converted tasks, successes, and failures, and provide a detailed list and log of specific task execution. The corresponding accessed data list is intuitively displayed through historical data.

[0054] In one embodiment of the present application, the production data generated during the coal mine production process is collected, including:

[0055] Acquire production data generated during coal mine production through various sensors;

[0056] The serial port gateway is connected to the gateway, and the production data is uploaded to the monitoring host computer or cloud platform through the gateway.

[0057] Various sensors at the coal mine site (such as gas concentration sensors, temperature sensors, humidity sensors, etc.) will monitor and collect production data in the coal mine production process in real time. These sensors will convert the collected data into electrical signals or digital signals and prepare to send them to the serial gateway. The serial gateway acts as a data transfer station, and the sensor sends the collected production data to the serial gateway through the serial port. After receiving the data, the serial gateway will perform necessary data processing (such as data format conversion, data verification, etc.). The gateway sends the data to the target location through the network according to the pre-configured target address (such as the network address of the monitoring host computer or the interface address of the cloud platform).

[0058] Specifically, in this embodiment, the process of obtaining the production data generated by each unit through the gateway includes the following steps:

[0059] Generate tag information of the gateway corresponding to each data generation unit, wherein the tag information includes gateway priority, important data parameters, gateway performance and gateway location;

[0060] Based on the tag information of the gateway, an ad hoc network is generated and the central gateway in each network is determined;

[0061] The central gateway collects data from other gateways in the self-organizing network and transmits the collected data to the cloud platform.

[0062] Specifically, in the process of self-organizing networks, the network is formed based on the type of data collected by each gateway, and gateways with the same data type are divided into the same self-organizing network. Gateway priority based on gateway , important data parameters , Gateway Performance and gateway location , determine the central parameters corresponding to each gateway for:

[0063]

[0064] in, Represents the preset distance threshold, and r represents the current number of networking rounds. The gateway with the highest central parameter is selected as the central gateway. In the above manner, the central gateway of the ad hoc network is determined to collect data in the ad hoc network through the central gateway, and the data is integrated and transmitted to the cloud platform, which reduces the bandwidth occupied during data transmission and improves data transmission efficiency.

[0065] In one embodiment of the present application, after obtaining the production data generated in the coal mine production process through various sensors, the method further includes:

[0066] Integrate the collected data to form a unified data set;

[0067] The data in the data set is cleaned to obtain cleaned production data.

[0068] If the data comes from multiple different data sources (such as multiple mines, multiple systems), data integration is required to merge the data from different sources according to certain rules or logic to form a unified data set.

[0069] Check whether there are missing values ​​(i.e., empty values ​​or NULL values) in the data set. For missing values, you can fill them (such as using the mean, median, or mode) or delete them according to the specific situation. Use statistical methods or machine learning algorithms to detect outliers in the data (i.e., values ​​that significantly deviate from the normal range). For outliers, you can correct, delete, or mark them as abnormal according to the actual situation. Check whether there are duplicate records or rows in the data set. For duplicate values, you can choose to keep one record and delete other duplicate records, or merge the information in the duplicate records to obtain the cleaned production data.

[0070] In step S120, a clue indicator model for identifying clue information is constructed based on the production data.

[0071] In one embodiment of the present application, the modeling analysis of safety compliance clue indicators is based on various regulations and specifications issued by the state, provinces and cities, as well as the actual business of coal mines, and the metadata such as perception data and document data in coal mines are processed according to different application logics and the results are obtained. In this way, a clue analysis indicator model is constructed to form a scientific automated analysis system for application in actual scenarios.

[0072] In one embodiment of the present application, a clue indicator model for identifying clue information is constructed based on the production data, including:

[0073] Obtain safety compliance regulations applied to coal mines;

[0074] Based on the safety compliance specification, the production data is standardized to generate standard data;

[0075] Based on the coal mine production rules, the standard data is instantiated to generate a clue indicator model for identifying clue information.

[0076] Specifically, based on the coal mine production rules, the standard data is instantiated to generate a clue indicator model for identifying clue information, which specifically includes the following steps:

[0077] According to the coal mine production rules, identify clues that may affect the safety or efficiency of the coal mine. These indicators may include equipment maintenance records, cleanliness of the working area, efficiency of the ventilation system, gas concentration, etc.;

[0078] Filter out data subsets related to clue indicators from standard data. Instantiate these data subsets, that is, convert the data into specific clue instances according to specific coal mine production instances (such as a certain time period, a certain equipment, a certain area, etc.);

[0079] Using the filtered and instantiated data, a clue indicator model is constructed. This model can automatically identify and extract potential problems or opportunities related to coal mine production safety or efficiency based on given clue indicators;

[0080] Use historical data or simulated data to verify the clue indicator model to ensure its accuracy and effectiveness. Optimize the model based on the verification results to improve the accuracy and efficiency of clue identification. As the key to the precise application of data alignment scenarios, reusable standardized data must be stored and processed. Based on the "Coal Mine Safety Regulations", combined with various regulations and specifications issued by the state, provinces and cities, and the actual business of coal mines, the indicator definition is formed.

[0081] Depending on the application scenarios, a hierarchical indicator management model is adopted, and each indicator is managed independently, and adjusted and associated at any time according to changes in regulations and actual application scenarios.

[0082] like Figure 2 As shown in the figure, after policy interpretation, judgment clauses, hierarchical decomposition, and indicator arrangement, the abstract indicators in the indicator library correspond to the instances in the business scenarios, so as to accurately and clearly generate scientific risk assessment clues that can be checked and traced. For example, the indicator "the ratio of the mechanization degree of coal tunneling in the mine to the comprehensive mechanization degree of coal mining" involves multiple physical machines, each of which has its corresponding data, which needs to be accurately collected and processed.

[0083] Through multi-dimensional and multi-category instantiation, there is no need to rearrange indicators due to changes in actual scenarios such as equipment. It can be flexibly applied to a variety of scenarios by directly calculating the minimum instantiated data.

[0084] In this embodiment, instantiation includes instantiation of specific measuring points such as equipment, systems, coal mining faces, locations, etc., and also includes instantiation based on types, such as a certain type of equipment, a certain type of system, etc.

[0085] In step S130, based on the clue indicator model and the indicator rules in the coal mine operation process, clue information for identifying mine safety compliance is generated.

[0086] In one embodiment of the present application, a multi-dimensional composite operation is performed on the indicators through a safety compliance indicator model and rule strategy to form clue conclusions that comply with national, provincial and municipal standards for determining major safety hazards and safety compliance regulations and specifications.

[0087] Safety compliance clues are the discovery and prediction of risks and hidden dangers in mines. According to the configuration of indicator strategies, indicator rules can be flexibly applied to complex actual scenarios. It supports the adaptation and application of different role objects such as mines, supervision, and inspection.

[0088] Calculations are performed based on indicator rules and judgment strategies. Multiple subdivision indicator rules have combination relationships such as "and" or "or". The "and" and "or" combination rules are configured for the disassembled subdivision indicators based on the actual judgment terms. When the final calculation result reaches the configured trigger condition, a clue conclusion is formed for display and reminder.

[0089] Taking the clues of organizing production without meeting the gas extraction standards as an example, it is broken down into many rules and combined with the results of operations. If any of the disassembly indicators such as "the absolute gas outburst volume of any coal mining face is greater than 5m³ / min and no extraction system is established", or "the absolute gas outburst volume of any tunneling face is greater than 3m³ / min and no extraction system is established" is triggered, the conclusion is drawn as to whether the gas extraction is not organized for production without meeting the standards.

[0090] For the clues obtained, basic compliance clue information applicable to the different users such as mines, supervision, and inspection is generated and conveyed to the users in the form of intuitive and concise information.

[0091] Basic information is read from multiple data channels such as safety and compliance inspection process data, deployment initial data, operation data, etc. The display of basic information includes clue name, coal mine name, administrative region, responsible department, clue confirmation personnel, confirmation time, confirmation notes and other basic situations. The generated information display is different according to different roles.

[0092] Conclusion template, based on detailed safety compliance specifications and disassembly configuration conclusion display template, the template supports manual modification and management. For situations that trigger risk and hidden danger conditions, the corresponding data information is automatically filled into the template to generate compliance analysis conclusions. The analysis conclusion can include basic information, explanations of the safety compliance issues, and other information.

[0093] Analyze key indicators, check and analyze the various detailed indicators that trigger the judgment criteria, display the key indicators in detail, and provide users with information such as the value, time, source, etc. of the detailed indicators to facilitate users to check and trace.

[0094] Trend analysis of key indicators: In the clauses that trigger the non-compliance judgment criteria, a visual analysis of the key indicators involved is formed, such as trend analysis of related indicators.

[0095] In step S140, a management and control system for mine safety and compliance is constructed based on the clue information.

[0096] In one embodiment of the present application, a management and control system for mine safety compliance is constructed based on the clue information. The normalized inspection mechanism is a working mechanism that uses an intelligent system to automatically, periodically, and long-term conduct inspections based on indicators and rules.

[0097] By utilizing the underlying safety and compliance clue indicator modeling analysis system, a stable indicator data operation mechanism is formed, and real-time scanning of mine operation conditions is carried out on a regular basis. Through visual analysis methods, result-oriented, directional, evaluative, and analytical data are presented to help users locate the direction of the problem from a macro perspective, quickly find the crux of the problem in massive data, prescribe the right remedy, and liberate manpower through intelligent means.

[0098] It supports regular inspections by time period, displays result-based inspection data, ensures the accuracy and consistency of data users, and presents real-time compliance clue discovery, compliance clue closure, and real-time operation of compliance clues.

[0099] In step S150, a monitoring system for safety and compliance in mining areas is constructed based on the management and control systems of multiple mines.

[0100] In one embodiment of the present application, based on the management and control systems of multiple mines, a supervision system for safety and compliance in mining areas is constructed, including:

[0101] Based on the management and control systems of multiple mines, integrate the safety management systems and data sources of each mine and establish a unified data interface and protocol;

[0102] Utilize data analysis technology to build a supervision system for mine safety and compliance.

[0103] Specifically, in the above-mentioned management and control system based on multiple mines, the process of integrating the safety management systems and data sources of each mine and establishing a unified data interface and protocol includes the following steps:

[0104] 1. Select appropriate middleware and interface technologies based on the characteristics of the data model and data source. The middleware can be responsible for data transmission and conversion between different protocols, unifying the data protocols of different data sources. Support a unified authentication and authorization mechanism to ensure that only authenticated users or applications can access the data interface.

[0105] 2. Use data format mapping and conversion tools to unify the data formats of different data sources. According to the definition of the data model, map and convert the data fields to conform to the unified data format. Considering the consistency and accuracy of the data, the data can be cleaned and verified as necessary.

[0106] 3. Implement a unified authentication and authorization mechanism to ensure the security of data interfaces. You can use existing authentication and authorization services to manage user identity authentication and interface access rights. Set different permission levels for different users or applications to control their access to and operations on data.

[0107] 4. Develop a unified data interface based on the data model and interface technology selection. Ensure that the interface supports various data operations, such as query, insert, update, and delete. Perform rigorous testing on the interface, including functional testing, performance testing, and security testing, to ensure the stability and reliability of the interface.

[0108] 5. Deploy the developed interface to the production environment and perform necessary configuration and optimization.

[0109] It supports the linkage of compliance clue messages at the mine side and the supervision side. When the superior supervision unit finds compliance clues in the subordinate mine unit through the operation rules, it will directly supervise and remind through the system message with one click. The subordinate can obtain the superior supervision message in real time, shorten the message path, and reduce the probability of coal mine safety accidents. The superior directly establishes work supervision and guidance for the subordinates within the system, promotes the optimization and improvement of the work process, and improves the overall operation efficiency.

[0110] The intelligent analysis and control mode is based on the above indicators and rules. The system performs intelligent calculations and operations, and analyzes security and compliance clues from multiple angles and displays them in multiple ways according to the rules and display templates.

[0111] Through the analysis of safety and compliance clues, the intelligent system automatically generates the ranking, distribution, occurrence trend and other content of the clues, providing mine users with a basis for scientific decision-making in a visual form.

[0112] In step S160, based on the supervision systems of multiple mining areas, a multi-dimensional safety and compliance management and control system is constructed to support scientific supervision from a supervisory perspective.

[0113] According to their own needs, users can generate inspection reports regularly through a variety of inspection methods to provide decision support for safety supervision and inspection. Automatic inspection: Through single or repeated timing, real-time multi-dimensional inspection and scanning of collected mine data indicators, inspection reports are generated regularly to meet the needs of different scenarios; manual inspection: Through the one-button manual real-time inspection mode, inspection reports are quickly generated to conduct physical examinations for coal mines at any time.

[0114] The normalized inspection mechanism is based on the above data indicators and rules for normal operation, and realizes a long-term, regular automatic inspection mechanism according to the set inspection cycle or irregular temporary inspection requirements.

[0115] In one embodiment of the present application, after building a supervision system for safety and compliance in mining areas based on the management and control systems of multiple mines, it also includes:

[0116] Analyzing the input data based on predefined program instructions in the supervision system;

[0117] When the supervision system detects safety risks or potential accidents, it automatically triggers warning notifications based on preset warning thresholds and rules.

[0118] According to the inspection needs within a certain period of time, full data inspection is carried out according to the security compliance clue indicator model, and the inspection results are displayed, including real-time compliance clue discovery, compliance clue closed-loop status, and real-time operation status of compliance clues.

[0119] The warning notification may be in the form of SMS, email, or APP push.

[0120] The intelligent supervision and inspection model refers to relying on an intelligent system to achieve automatic inspections and manual one-click inspections of security and compliance clues based on the above-mentioned data indicators, rules and strategies, forming a supervision and inspection model suitable for the actual scenarios of supervision users and monitoring users, replacing the traditional manual supervision and inspection work model.

[0121] The data of the coal mines under its jurisdiction are collected, and a detailed ledger of compliance clues is established to centrally manage the operation of the mines scanned in real time, display key information fields, and record all clues details of the mines under its jurisdiction, so that managers can understand the specific indicators involved in the occurrence of clues and the evidence basis for triggering clues, and trace back to the original records of the occurrence of clues. It supports fast retrieval of clues and provides multi-dimensional retrieval methods, such as keyword retrieval, retrieval by time, retrieval by clue type, retrieval by mine, etc.

[0122] By collecting and processing the data of the coal mines under its jurisdiction, the intelligent system operates according to the clue rules, and the results of the routine inspections of safety and compliance clues are displayed in the dimensions that users care about and in an intuitive manner, including clue rankings, rankings of subordinate coal mines under supervision and regulation, clue discovery trends, etc.

[0123] Through the data connection of the three-tier architecture of mines, supervision and inspection, the supervision and inspection roles are supported to supervise the coal mines where compliance clues are found with one click, remind the subordinate coal mines to promptly check the various locations, equipment and personnel involved in the clues in the coal mines according to the issued clue vouchers, troubleshoot problems as soon as possible and prevent safety problems from occurring.

[0124] In the technical solution of this application, the production data generated during the production process of the coal mine is collected; based on the production data, a clue indicator model for identifying clue information is constructed; based on the clue indicator model and the indicator rules in the operation process of the coal mine, clue information for identifying mine safety compliance is generated; based on the clue information, a control system applied to mine safety compliance is constructed; based on the control system of multiple mines, a supervision system applied to mine safety compliance is constructed; based on the supervision system of multiple mines, a multi-dimensional control system for safety compliance supporting scientific supervision is constructed from the perspective of supervision. The technical solution of this application is analyzed into subdivided indicators and an indicator model is formed by disassembling and judging the relevant provisions and normative clauses, so as to solve the current situation that coal mine personnel do not understand information technology, information personnel do not understand coal mine business, etc., which causes the indicator rule model to be difficult to accurately abstract. The construction of the rule engine breaks down the industry barriers and solves the problems of non-standard data, difficult indicator splitting, and difficult rule establishment. Through the three-layer role-end architecture design, the multi-dimensional adaptation of data standardization processing opens up the vertical and horizontal scenes of coal mines, supervision, and supervision, forming a system of autonomous management of the whole process of safety compliance clues throughout "mine-supervision-supervision". It replaces the manual inspection method of coal mines, and replaces manual inspections and manual research and analysis in a scientific, accurate and effective way, providing early warning of safety hazards for coal mines, forming a safety guarantee mechanism for timely handling of problems and early detection of hidden dangers. It replaces the traditional law enforcement model of the supervisory role and the traditional supervision work model of the regulatory role, avoiding the errors caused by relying on manual experience to discover and judge problems, greatly improving the accuracy and efficiency of supervision and law enforcement, and forming an intelligent clue inspection system for scientific decision-making, scientific supervision, and law enforcement.

[0125] The following introduces an embodiment of the device of the present application, which can be used to execute the multi-dimensional management and control method of coal mine safety based on compliance identification and judgment in the above-mentioned embodiment of the present application. It can be understood that the device can be a computer program (including program code) running in a computer device, for example, the device is an application software; the device can be used to execute the corresponding steps in the method provided in the embodiment of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the multi-dimensional management and control method of coal mine safety based on compliance identification and judgment in the above-mentioned embodiment of the present application.

[0126] Figure 3 A block diagram of a coal mine safety multi-dimensional management and control system based on compliance identification and determination according to an embodiment of the present application is shown.

[0127] Reference Figure 3 As shown, a coal mine safety multi-dimensional management and control system based on compliance identification and determination according to an embodiment of the present application includes:

[0128] The collection unit 310 is used to collect production data generated during the coal mine production process;

[0129] A model unit 320, for constructing a clue indicator model for identifying clue information based on the production data;

[0130] A clue unit 330, for generating clue information for identifying safety compliance of the mine based on the clue indicator model and the indicator rules in the coal mine operation process;

[0131] A management and control unit 340 is used to build a management and control system for mine safety and compliance based on the clue information;

[0132] A supervision unit 350 is used to build a supervision system for safety and compliance in mining areas based on the management and control systems of multiple mines;

[0133] Monitoring Unit 360 is used to build a multi-dimensional safety and compliance management and control system that supports scientific monitoring from a monitoring perspective based on the supervision system of multiple mining areas.

[0134] In the present application, based on the aforementioned scheme, the collection of production data generated during the coal mine production process includes: obtaining the production data generated during the coal mine production process through various sensors; connecting to the gateway through a serial port gateway, and uploading the production data to a monitoring host computer or cloud platform through the gateway.

[0135] In the present application, based on the aforementioned scheme, after obtaining the production data generated in the coal mine production process through various sensors, it also includes: integrating the collected data to form a unified data set; cleaning the data in the data set to obtain the cleaned production data.

[0136] In the present application, based on the aforementioned scheme, a clue indicator model for identifying clue information is constructed based on the production data, including: obtaining safety compliance specifications applied to coal mines; based on the safety compliance specifications, standardizing the production data to generate standard data; based on coal mine production rules, instantiating the standard data to generate a clue indicator model for identifying clue information.

[0137] In the present application, based on the aforementioned scheme, the management and control system based on multiple mines constructs a supervision system for safety and compliance in mining areas, including: integrating the safety management systems and data sources of each mine based on the management and control system of multiple mines, and establishing a unified data interface and protocol; using data analysis technology to construct a supervision system for safety and compliance in mining areas.

[0138] In the present application, based on the aforementioned scheme, the management and control system based on multiple mines, after building a supervision system for safety and compliance in mining areas, also includes: analyzing input data based on predefined program instructions in the supervision system; when the supervision system detects safety risks or potential accidents, it automatically triggers a warning notification according to preset warning thresholds and rules.

[0139] In this application, based on the aforementioned solution, the forms of the warning notification include SMS, email, and APP push.

[0140] In the technical solution of this application, the production data generated during the production process of the coal mine is collected; based on the production data, a clue indicator model for identifying clue information is constructed; based on the clue indicator model and the indicator rules in the operation process of the coal mine, clue information for identifying mine safety compliance is generated; based on the clue information, a control system applied to mine safety compliance is constructed; based on the control system of multiple mines, a supervision system applied to mine safety compliance is constructed; based on the supervision system of multiple mines, a multi-dimensional control system for safety compliance supporting scientific supervision is constructed from the perspective of supervision. The technical solution of this application is analyzed into subdivided indicators and an indicator model is formed by disassembling and judging the relevant provisions and normative clauses, so as to solve the current situation that coal mine personnel do not understand information technology, information personnel do not understand coal mine business, etc., which causes the indicator rule model to be difficult to accurately abstract. The construction of the rule engine breaks down the industry barriers and solves the problems of non-standard data, difficult indicator splitting, and difficult rule establishment. Through the three-layer role-end architecture design, the multi-dimensional adaptation of data standardization processing opens up the vertical and horizontal scenes of coal mines, supervision, and supervision, forming a system of autonomous management of the whole process of safety compliance clues throughout "mine-supervision-supervision". It replaces the manual inspection method of coal mines, and replaces manual inspections and manual research and analysis in a scientific, accurate and effective way, providing early warning of safety hazards for coal mines, forming a safety guarantee mechanism for timely handling of problems and early detection of hidden dangers. It replaces the traditional law enforcement model of the supervisory role and the traditional supervision work model of the regulatory role, avoiding the errors caused by relying on manual experience to discover and judge problems, greatly improving the accuracy and efficiency of supervision and law enforcement, and forming an intelligent clue inspection system for scientific decision-making, scientific supervision, and law enforcement.

[0141] Figure 4 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown.

[0142] It should be noted that the computer system 400 of the electronic device shown in the figure is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0143] The computer system 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 402 or the program loaded from the storage part 408 to the random access memory (RAM) 403, such as executing the method described in the above embodiment. Various programs and data required for system operation are also stored in the RAM 403. The CPU 401, the ROM 402 and the RAM 403 are connected to each other through the bus 404. The input / output (I / O) interface 405 is also connected to the bus 404.

[0144] The following components are connected to the I / O interface 405: an input section 406 including a keyboard, a mouse, etc.; an output section 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed so that a computer program read therefrom is installed into the storage section 408 as needed.

[0145] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 409, and / or installed from a removable medium 411. When the computer program is executed by the central processing unit (CPU) 401, various functions defined in the system of the present application are executed.

[0146] It should be noted that the computer-readable medium shown in the embodiment of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable computer program. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0147] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0148] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0149] According to one aspect of the present application, a computer program product or a computer program is provided, the computer program product or the computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the methods provided in the above-mentioned various optional implementations.

[0150] As another aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by an electronic device, the electronic device implements the method described in the above embodiment.

[0151] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0152] Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the example implementation methods described here can be implemented by software, or by combining software with necessary hardware. Therefore, the technical solution according to the implementation method of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation method of the present application.

[0153] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not disclosed in the present application.

[0154] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A multi-dimensional coal mine safety control method based on compliance identification and judgment, characterized in that: include: Collect production data generated during coal mine production; Based on the production data, construct a clue indicator model for identifying clue information; Based on the clue indicator model and the indicator rules in the coal mine operation process, generating clue information for identifying mine safety compliance; Based on the clue information, a management and control system for mine safety and compliance is constructed; Based on the management and control systems of multiple mines, a supervision system for safety and compliance in mining areas is built; Based on the supervision systems of multiple mining areas, a multi-dimensional safety and compliance management and control system supporting scientific supervision is established from the perspective of supervision; Specifically, based on the production data, a clue indicator model for identifying clue information is constructed, including: Obtain safety compliance regulations applied to coal mines; Based on the safety compliance specification, the production data is standardized to generate standard data; Based on coal mine production rules, instantiate the standard data to generate a clue indicator model for identifying clue information; Specifically, instantiating the standard data to generate a clue indicator model for identifying clue information includes: According to the coal mine production rules, determining clue indicators that affect the safety or efficiency of the coal mine, wherein the indicators include at least one of the following: equipment maintenance records, cleanliness of the working area, efficiency of the ventilation system, and gas concentration; Screening out a data subset related to clue indicators from the standard data, instantiating the data subset, and converting the data subset into clue instances according to coal mine production instances; According to the clue instances obtained after instantiation, a clue indicator model is constructed to identify and extract information related to coal mine production safety based on given clue indicators; Validating the clue indicator model using historical data or simulated data; Among them, the production data generated during the coal mine production process is collected, including: Acquire production data generated during coal mine production through various sensors; Connect to the gateway via the serial port gateway, and upload the production data to the monitoring host computer or cloud platform via the gateway; Among them, the production data generated by each unit is obtained through the gateway, including: Generate tag information of the gateway corresponding to each data generation unit, wherein the tag information includes gateway priority, important data parameters, gateway performance and gateway location; Based on the tag information of the gateway, an ad hoc network is generated and the central gateway in each network is determined; The central gateway collects data from other gateways in the ad hoc network and transmits the collected data to the cloud platform; Specifically, in the process of self-organizing network, based on the type of data collected by each gateway, the network is formed, and the gateways of the same data type are divided into the same self-organizing network. , important data parameters , Gateway Performance and gateway location , determine the central parameters corresponding to each gateway for: in, Represents the preset distance threshold, and r represents the current number of networking rounds.

2. The method according to claim 1, characterized in that After obtaining the production data generated in the coal mine production process through various sensors, it also includes: Integrate the collected data to form a unified data set; The data in the data set is cleaned to obtain cleaned production data.

3. The method according to claim 1, characterized in that Based on the management and control systems of multiple mines, a supervision system for mine safety and compliance is built, including: Based on the management and control systems of multiple mines, integrate the safety management systems and data sources of each mine and establish a unified data interface and protocol; Utilize data analysis technology to build a supervision system for mine safety and compliance.

4. The method according to claim 1, characterized in that: Based on the management and control systems of multiple mines, the supervision system applied to mine safety and compliance is built, which also includes: Analyzing the input data based on predefined program instructions in the supervision system; When the supervision system detects safety risks or potential accidents, it automatically triggers warning notifications based on preset warning thresholds and rules.

5. The method according to claim 4, characterized in that The warning notification may be in the form of SMS, email, or APP push.

6. A multi-dimensional coal mine safety management and control system based on compliance identification and judgment, characterized in that: include: A collection unit, used to collect production data generated during the coal mine production process; A model unit, for constructing a clue indicator model for identifying clue information based on the production data; A clue unit, for generating clue information for identifying safety compliance of the mine based on the clue indicator model and the indicator rules in the coal mine operation process; A control unit, used to build a control system for mine safety and compliance based on the clue information; Supervision unit, which is used to build a supervision system for safety and compliance in mining areas based on the management and control systems of multiple mines; The supervision unit is used to build a multi-dimensional safety and compliance management and control system that supports scientific supervision from the perspective of supervision based on the supervision system of multiple mining areas; Specifically, based on the production data, a clue indicator model for identifying clue information is constructed, including: Obtain safety compliance regulations applied to coal mines; Based on the safety compliance specification, the production data is standardized to generate standard data; Based on coal mine production rules, instantiate the standard data to generate a clue indicator model for identifying clue information; Specifically, instantiating the standard data to generate a clue indicator model for identifying clue information includes: According to the coal mine production rules, determining clue indicators that affect the safety or efficiency of the coal mine, wherein the indicators include at least one of the following: equipment maintenance records, cleanliness of the working area, efficiency of the ventilation system, and gas concentration; Screening out a data subset related to clue indicators from the standard data, instantiating the data subset, and converting the data subset into clue instances according to coal mine production instances; According to the clue instances obtained after instantiation, a clue indicator model is constructed to identify and extract information related to coal mine production safety based on given clue indicators; Validating the clue indicator model using historical data or simulated data; Among them, the production data generated during the coal mine production process is collected, including: Acquire production data generated during coal mine production through various sensors; Connect to the gateway via the serial port gateway, and upload the production data to the monitoring host computer or cloud platform via the gateway; Among them, the production data generated by each unit is obtained through the gateway, including: Generate tag information of the gateway corresponding to each data generation unit, wherein the tag information includes gateway priority, important data parameters, gateway performance and gateway location; Based on the tag information of the gateway, an ad hoc network is generated and the central gateway in each network is determined; The central gateway collects data from other gateways in the ad hoc network and transmits the collected data to the cloud platform; Specifically, in the process of self-organizing network, based on the type of data collected by each gateway, the network is formed, and the gateways of the same data type are divided into the same self-organizing network. , important data parameters , Gateway Performance and gateway location , determine the central parameters corresponding to each gateway for: in, Represents the preset distance threshold, and r represents the current number of networking rounds.

7. A computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the multi-dimensional coal mine safety management and control method based on compliance identification and judgment as described in any one of claims 1 to 5 is implemented.

8. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the multi-dimensional coal mine safety management and control method based on compliance identification and judgment as described in any one of claims 1 to 5.

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