Multi-dimensional fusion processing method and system for intelligent risk identification of coal mine safety production

Abstract

The present application provides a multi-dimensional fusion processing method, system, computer-readable medium and electronic device for intelligent risk identification of coal mine production safety. Collect data from the data source of each coal mine production unit; obtain business information through the implementation platform and basic platform of coal mine management; identify the structured data in the business information, and build a risk monitoring system based on the big data platform for the mine side; identify the unstructured data in the production data, build a risk monitoring system based on the knowledge engineering platform, and generate an evaluation system based on the integral rule for comprehensive evaluation of the overall operation of the coal mine on the regulatory side. This solution is suitable for coal mine analysis and management needs at various levels and depths, meets the different monitoring and management needs of production teams from the grassroots to senior enterprise managers, provides strong support for the production operation and decision-making of coal mines, and improves the comprehensive operation efficiency and comprehensive management capabilities of the coal mine production risk monitoring system.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and more specifically, to a multi-dimensional fusion processing method, system, computer-readable medium and electronic device for intelligent risk identification in coal mine safety production. Background Art

[0002] In terms of risk identification and management in the coal mining industry, its information and intelligence levels are constantly improving, which is of great significance for improving production efficiency, improving production safety attributes and risk management efficiency. Based on the existing research background on the coal mining industry, in the coal mine risk management system, production data usually comes from different systems and equipment, which may cause various problems. For example, since the data comes from different systems and equipment, different systems and equipment may use different data formats and standards, resulting in the inability to directly associate and integrate data, and to achieve direct exchange and sharing, which increases the difficulty and cost of data identification and processing. It is difficult to have a unified data identification, supervision and evaluation strategy, which makes the decision-making process complicated and slow, and cannot provide a reliable and comprehensive identification and supervision basis for the operation of coal mining industry production, affecting production efficiency and safety.

[0003] At the same time, in coal mine production management, grassroots production teams need to monitor production data in real time to ensure production safety and efficiency; middle-level management departments need to identify and conduct more in-depth analysis of production data to evaluate production efficiency and resource utilization; and senior decision-makers need to fully understand the operation status and development trends of coal mines in order to formulate long-term development strategies. Therefore, the needs of coal mine production management vary, and the efficiency of production data processing and risk identification is low, and existing technologies are difficult to comprehensively solve the above problems. Summary of the invention

[0004] The embodiments of the present application provide a multi-dimensional fusion processing method, system, computer-readable medium and electronic device for intelligent risk identification in coal mine production safety, which can at least to a certain extent solve the problem of low efficiency in production data processing and risk identification.

[0005] 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.

[0006] According to one aspect of the present application, a multi-dimensional fusion processing method for intelligent risk identification of coal mine production safety is provided, including: based on the data source of each coal mine production unit, a data acquisition network is formed by establishing a unified data interface and protocol, and production data generated in each coal mine production unit is acquired through the data acquisition network; business information is acquired through the implementation platform and basic platform of coal mine management; structured data in the business information is identified, and a risk monitoring system based on a big data platform is constructed based on the structured data and applied to the mine side; unstructured data in the production data is identified, and a risk monitoring system based on a knowledge engineering platform is constructed based on the unstructured data, which is used to count data of different dimensions on the mining area side; an evaluation system based on an integral rule is generated through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, which is used to conduct a comprehensive evaluation of the overall operation of the coal mine on the regulatory side.

[0007] In the present application, based on the aforementioned scheme, the identifying of the structural data in the business information includes: identifying whether the data in the business information has an arrangement of rows and columns, or whether it conforms to a predefined data model, and using the qualified data as the structural data; identifying the target field in the business information, the target field having a fixed name and data type, and using the target field as the structural data; using a structured query language to query the data in the business information, and using the queried data as the structural data.

[0008] In the present application, based on the aforementioned scheme, the business information is obtained through the implementation platform and basic platform of coal mine management, including: obtaining identity information input by the user; authenticating the identity information based on historical input information; after the identity authentication is passed, obtaining business information through the implementation platform and basic platform of coal mine management.

[0009] In the present application, based on the aforementioned scheme, the risk monitoring system on the mine side and the risk monitoring system on the mining area side generate an evaluation system based on integral rules, including: obtaining preset indicators for risk assessment; constructing an indicator center and a strategy center through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, in combination with the preset indicators; performing weighted comprehensive management of the indicator data of the indicator center and the evaluation strategy of the strategy center, and generating an evaluation system based on integral rules for comprehensive evaluation of the overall operation of the coal mine.

[0010] In the present application, based on the aforementioned scheme, after constructing the indicator center and the strategy center through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, combined with the preset indicators, it also includes: obtaining task information; detecting the task type of the task information; based on the task type, combining the strategies in the strategy center to generate a combined strategy; based on the combined strategy and the evaluation indicators in the indicator center, identifying risks of the task information.

[0011] In the present application, based on the aforementioned scheme, the method further includes: in the risk monitoring system, the risk surveillance system and the evaluation system, real-time production images and production data of the coal mine are displayed on the screen.

[0012] In the present application, based on the aforementioned solution, the method further includes: when a risk is identified, detecting the risk type and risk level; based on the risk type and the risk level, obtaining and executing a matching emergency response procedure.

[0013] According to one aspect of the present application, a multi-dimensional fusion processing system for intelligent risk identification of coal mine safety production is provided, comprising:

[0014] A data unit is used to form a data acquisition network based on the data source of each coal mine production unit by establishing a unified data interface and protocol, and to obtain the production data generated in each coal mine production unit through the data acquisition network;

[0015] Business unit, used to obtain business information through the implementation platform and basic platform of coal mine management;

[0016] A monitoring unit, used for identifying structural data in the business information, and building a risk monitoring system based on a big data platform and applied to the mine side based on the structural data;

[0017] A supervision unit, used for identifying unstructured data in production data, and building a risk monitoring system based on a knowledge engineering platform based on the unstructured data, for collecting statistics of data of different dimensions on the mining area side;

[0018] The evaluation unit is used to generate an evaluation system based on integral rules through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, which is used to conduct a comprehensive evaluation of the overall operation of the coal mine on the supervision side.

[0019] In the present application, based on the aforementioned scheme, the business information is obtained through the implementation platform and basic platform of coal mine management, including: obtaining identity information input by the user; authenticating the identity information based on historical input information; after the identity authentication is passed, obtaining business information through the implementation platform and basic platform of coal mine management.

[0020] In the present application, based on the aforementioned scheme, the risk monitoring system on the mine side and the risk monitoring system on the mining area side generate an evaluation system based on integral rules, including: obtaining preset indicators for risk assessment; constructing an indicator center and a strategy center through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, in combination with the preset indicators; performing weighted comprehensive management of the indicator data of the indicator center and the evaluation strategy of the strategy center, and generating an evaluation system based on integral rules for comprehensive evaluation of the overall operation of the coal mine.

[0021] In the present application, based on the aforementioned scheme, after constructing the indicator center and the strategy center through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, combined with the preset indicators, it also includes: obtaining task information; detecting the task type of the task information; based on the task type, combining the strategies in the strategy center to generate a combined strategy; based on the combined strategy and the evaluation indicators in the indicator center, identifying risks of the task information.

[0022] In the present application, based on the aforementioned scheme, the method further includes: in the risk monitoring system, the risk surveillance system and the evaluation system, real-time production images and production data of the coal mine are displayed on the screen.

[0023] In the present application, based on the aforementioned solution, the method further includes: when a risk is identified, detecting the risk type and risk level; based on the risk type and the risk level, obtaining and executing a matching emergency response procedure.

[0024] 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 fusion processing method for intelligent risk identification of coal mine safety production as described in the above-mentioned embodiment is implemented.

[0025] 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 fusion processing method for intelligent risk identification of coal mine safety production as described in the above-mentioned embodiments.

[0026] 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 fusion processing method for intelligent risk identification of coal mine safety production provided in the above-mentioned various optional implementations.

[0027] In the technical solution of the present application, based on the data source of each coal mine production unit, a data acquisition network is formed by establishing a unified data interface and protocol, and the production data generated in each coal mine production unit is obtained through the data acquisition network; business information is obtained through the implementation platform and basic platform of coal mine management; structured data in the business information is identified, and a risk monitoring system based on a big data platform is constructed based on the structured data for application on the mine side; unstructured data in the production data is identified, and a risk monitoring system based on a knowledge engineering platform is constructed based on the unstructured data, which is used to count data of different dimensions on the mining area side; an evaluation system based on an integral rule is generated through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, which is used to conduct a comprehensive evaluation of the overall operation of the coal mine on the regulatory side. The technical solution of this application constructs a risk monitoring system on the mine side, a risk monitoring system on the mining area side, and an evaluation system on the supervision side through the industrial environment of coal mine production and operation. It is adaptable to coal mine analysis and management needs at various levels and depths, and meets the different monitoring and management needs of grassroots production teams to senior corporate managers. It provides strong support for coal mine production operations and decision-making, and improves the comprehensive operational efficiency and comprehensive management capabilities of the coal mine production risk monitoring system.

[0028] 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

[0029] 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.

[0030] Figure 1 A flowchart of a multi-dimensional fusion processing method for intelligent risk identification of coal mine safety production in an embodiment of the present application is schematically shown.

[0031] Figure 2 The flowchart of generating an evaluation system based on a scoring rule in one embodiment of the present application is schematically shown.

[0032] Figure 3 A schematic diagram of a multi-dimensional fusion processing system for intelligent risk identification of coal mine safety production in an embodiment of the present application is schematically shown.

[0033] 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

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] The implementation details of the technical solution of this application are described in detail below:

[0039] Figure 1 The flowchart of the multi-dimensional fusion processing method for intelligent risk identification of coal mine safety production according to an embodiment of the present application is shown. Figure 1 As shown, the multi-dimensional fusion processing method for intelligent risk identification of coal mine safety production includes at least steps S110 to S150, which are described in detail as follows:

[0040] In step S110, based on the data sources of each coal mine production unit, a data acquisition network is formed by establishing a unified data interface and protocol, and the production data generated in each coal mine production unit is acquired through the data acquisition network.

[0041] Since the data sources of various coal mine production units may differ, such as data type, format, storage method, etc., it is necessary to integrate and standardize the data sources first. This can be achieved by establishing a unified data interface and protocol to achieve automatic data capture and conversion. At the same time, a complete set of data cleaning and verification mechanisms needs to be designed to ensure the quality of the collected data is reliable.

[0042] In one embodiment of the present application, in order to obtain the latest coal mine production data, real-time data collection and transmission need to be achieved. This can be achieved through the Internet of Things technology. For example, a sensor network is deployed to monitor key parameters in the coal mine production process in real time, such as temperature, humidity, gas concentration, etc. At the same time, it is also necessary to build an efficient data transmission network to ensure that data can be transmitted to the data center in real time and accurately.

[0043] Furthermore, in the present application, the process of obtaining the production data generated in each coal mine production unit through the data acquisition network specifically includes:

[0044] Obtaining the gateway information of each coal mine production unit; the gateway information includes: location information, weight information and output information of the coal mine production unit;

[0045] According to the gateway information, a transfer unit for collecting data is selected from each coal mine production unit, and a data subnet is constructed according to the gateway information of the remaining coal mine production units;

[0046] The production data of the remaining production units in the data subnet are collected through the transfer unit, and the collected production data are forwarded to the server.

[0047] Specifically, in the embodiment of the present application, the gateway information includes: location information of coal mine production unit i , weight information and coal mine production information .

[0048] According to the location information of coal mine production units , determine the production unit and other production units The distance parameter between them is calculated, and then the transfer parameters of each coal mine production unit are calculated based on the gateway information and distance parameters. for:

[0049]

[0050] in, represents the randomly generated network factor, and k represents the number of production units in the network. After the transfer parameter is calculated, the target unit with the highest transfer parameter is selected from the production units within the range threshold as the transfer unit.

[0051] In the selection of transit units in the present application, distance conditions and production conditions are taken into consideration. By selecting production units with moderate locations, higher weights and higher output as transit units, the efficiency of data transmission is improved and the cost of data transmission is reduced.

[0052] In one embodiment of the present application, the data collection method can be obtained through a QR code, near field communication, such as Bluetooth, RFID, etc., or through sensor readings, API interfaces, etc.

[0053] In one embodiment of the present application, the collected data types include image, location, list and other data.

[0054] In one embodiment of the present application, the above-mentioned collected data can be input into the AI ​​model as training data for model training, and relevant data can be obtained through the AI ​​model at the same time.

[0055] In one embodiment of the present application, it may also include: data governance and cleaning. The data governance center is responsible for data cleaning, formatting and standardization.

[0056] In step S120, business information is obtained through the implementation platform and basic platform of coal mine management.

[0057] Through the basic platform, we can obtain the master data generated during the operation of the coal mine, the workflow generated during the work flow, and the authority information corresponding to each relevant personnel during the work execution process. Then, we can build forms and reports based on the above information to realize data statistics.

[0058] The business center obtains relevant information generated in coal mine production, including production planning information, production scheduling information, production execution information, safety inspection information, project management information and relevant information in knowledge engineering.

[0059] In one embodiment of the present application, business information is obtained through the implementation platform and the basic platform of coal mine management, including:

[0060] Get the identity information entered by the user;

[0061] Authentication of the identity information based on historical input information;

[0062] After identity authentication is passed, business information is obtained through the implementation platform and basic platform of coal mine management.

[0063] In an embodiment of the present application, the identity information input by the user is first obtained, and the identity information may include an identity code, facial information, etc. After the identity information is obtained, the user's identity information is verified based on the previously entered information, specifically:

[0064] quantifying the identity information and the input information to generate first information and second information in a unified format respectively;

[0065] determining a correlation parameter between the first information and the second information;

[0066] If the relevant parameter is less than or equal to the set threshold, the identity authentication is passed.

[0067] Specifically, in this solution, based on the preset character format correspondence, the identity information and the input information are quantified to generate the first information and the second information respectively. In this way, the uniformity of the data format is ensured and the accuracy of identity authentication is improved. The first information with a uniform format obtained by quantization And the second information , calculate the correlation parameters between the two for:

[0068]

[0069] in, Indicates the relevant factors determined according to historical data. In this embodiment, after the identity authentication is passed, the business information is obtained through the implementation platform and the basic platform of the coal mine management. The above method improves the accuracy of identity authentication and improves the system security of the implementation platform and the basic platform.

[0070] In step S130, the structural data in the business information is identified, and a risk monitoring system based on a big data platform and applied to the mine side is constructed based on the structural data.

[0071] In one embodiment of the present application, the business information includes structured data and unstructured data.

[0072] Among them, structural data can include production data, operation data, etc., and through data collection, data governance and data sharing of structural data, a big data platform and its corresponding risk monitoring system are built. The risk monitoring system is used to realize the collection and monitoring of each single data.

[0073] The process of identifying the structural data in the business information specifically includes the following steps:

[0074] 1. Identify whether the data in the business information has a clear row and column arrangement, or whether it conforms to a predefined data model (such as a table structure of a relational database), and treat the data that meets the conditions as structural data.

[0075] 2. Identify a target field in the data in the business information, where the target field has a fixed name and data type (such as date, name, address, etc.), and use the target field as structured data.

[0076] 3. Use SQL or other structured query languages ​​to query the data in the business information to verify its structured characteristics and treat the data that meets the conditions as structured data.

[0077] In one embodiment of the present application, in the application of the risk monitoring system, the following steps are included:

[0078] 1. Real-time data collection: By deploying sensors and equipment at various key links in coal mines, the risk monitoring system can collect various production data in real time, such as gas concentration, mine pressure changes, equipment operating status, etc.

[0079] 2. Data processing and analysis: The collected data will undergo preliminary processing and analysis to extract valuable information and trends.

[0080] 3. Anomaly detection: The system can automatically identify and alarm data that exceeds the preset safety range, providing decision-making basis for the risk monitoring system.

[0081] In step S140, unstructured data in the production data is identified, and a risk monitoring system based on a knowledge engineering platform is constructed based on the unstructured data to count data of different dimensions on the mining area side.

[0082] Among them, unstructured data includes data in the form of documents and tables. Corresponding lists are generated based on the above unstructured data, and archived and retrieved, and relevant data templates are generated through compilation.

[0083] The process of identifying the unstructured data in the business information specifically includes the following steps:

[0084] 1. Identify text content without a fixed format or structure from data in business information.

[0085] 2. Identify multimedia data such as images, audio, and video in business information, which are not stored in a structured manner.

[0086] 3. Identify free-format target data such as emails, social media posts, documents, etc., which have no fixed structure or pattern.

[0087] In one embodiment of the present application, in the application of the risk monitoring system, the following functions are included:

[0088] 1. Display the real-time production images and key data of the coal mine through the high-definition large screen to help supervisors fully understand the production situation.

[0089] 2. Multi-department collaboration: The risk monitoring system can coordinate the work of multiple departments such as production, safety, and technology to ensure smooth information flow and collaborative operations among departments.

[0090] 3. Emergency response: Once an abnormal situation or safety hazard is discovered, the risk monitoring system can quickly initiate the emergency response procedure and direct on-site personnel to take corresponding measures.

[0091] In summary, at the monitoring level, the above risk monitoring system and risk monitoring system are used to collect statistics of data in different dimensions. For example:

[0092] In terms of production dimension, it includes: 1. Coal production: statistics on daily, weekly, monthly or annual coal production to monitor production progress and efficiency; 2. Production efficiency: evaluate production efficiency by calculating the ratio between coal production and input resources (such as labor, equipment operating time, etc.); 3. Equipment utilization: statistics on the ratio of actual equipment operating time to total planned operating time to understand the equipment utilization efficiency and possible bottlenecks.

[0093] In terms of the safety dimension, it includes: 1. Safety accident statistics: record all safety accidents, including accident type, time, location, cause and consequences, in order to analyze the root causes and trends of safety issues; 2. Safety training effectiveness: count the number of times employees receive safety training, the content of training and behavioral changes after training to evaluate the effectiveness of safety training; 3. Safety facility operation status: monitor the operating status and maintenance records of safety facilities (such as gas detectors, fire alarm systems, etc.) to ensure their normal operation.

[0094] In step S150, an evaluation system based on integral rules is generated through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, which is used to conduct a comprehensive evaluation of the overall operation of the coal mine on the supervision side.

[0095] like Figure 2 As shown, in one embodiment of the present application, an evaluation system based on integral rules is generated through a risk monitoring system on the mine side and a risk monitoring system on the mining area side, including:

[0096] S210, obtaining preset indicators for assessing risks;

[0097] S220, constructing an indicator center and a strategy center by combining the preset indicators through the risk monitoring system on the mine side and the risk monitoring system on the mining area side;

[0098] S230, performing comprehensive weight management on the indicator data of the indicator center and the evaluation strategy of the strategy center, and generating an evaluation system based on integral rules for comprehensive evaluation of the overall operation of the coal mine.

[0099] In one embodiment of the present application, after building the indicator center and the strategy center by combining the preset indicators through the risk monitoring system on the mine side and the risk monitoring system on the mining area side in step S220, the following is further included:

[0100] Acquire task information, and detect the task type of the task information;

[0101] Based on the task type, combining the strategies in the strategy center to generate a combined strategy;

[0102] Based on the combined strategy and the evaluation indicators in the indicator center, risk identification is performed on the task information.

[0103] After generating the risk monitoring system and the risk monitoring system, a strategy center is built based on preset indicators to realize the judgment of related tasks through strategy combination.

[0104] Among them, the preset indicators may include: production indicators, safety indicators, environmental indicators, etc. Specifically, production indicators, such as daily coal output, production efficiency, equipment utilization, etc., are used to evaluate production conditions; safety indicators, such as gas concentration, mine pressure changes, safety hazard rectification rate, etc., are used to monitor safety performance; environmental indicators, such as pollutant emissions, ecological restoration effects, etc., are used to evaluate the impact of coal mines on the environment.

[0105] In this embodiment, the strategy center is used to realize the judgment of related tasks through strategy combination. Based on preset indicators, the strategy center can combine a variety of different strategies, such as strategies to improve production efficiency, strategies to reduce safety risks, strategies to optimize environmental impacts, etc. By introducing advanced algorithms and models, the strategy center can automatically determine which strategy should be adopted in the current production environment to reduce manual intervention and improve decision-making efficiency. As the production environment and data change, the strategy center can dynamically adjust the strategy combination to ensure that the decision always meets the actual needs of the coal mine. By building such an intelligent management system based on risk monitoring system, risk monitoring system and strategy center, coal mining enterprises can carry out production activities more efficiently and safely, while reducing operating costs and improving economic benefits.

[0106] In the intelligent management of the coal mining industry, the strategy center is the core decision-making body, responsible for integrating, analyzing and applying data from the risk monitoring system and the risk monitoring system. In order to ensure the effectiveness and scientificity of the strategy, it is crucial to conduct comprehensive management of the weights of the evaluation strategies in the strategy center. Furthermore, by introducing the integral rule, an evaluation system based on the integral rule can be constructed to comprehensively and systematically evaluate the operating status of the coal mine.

[0107] 1. Comprehensive weight management is to assign corresponding importance values ​​to different evaluation strategies to reflect their status and role in the overall evaluation. This process usually involves the following steps:

[0108] 2. Strategy identification and classification: First, all evaluation strategies in the strategy center need to be identified and classified. These strategies may involve production efficiency, safety performance, environmental impact, economic benefits and other aspects.

[0109] 3. Weight assignment: For each strategy, a reasonable weight value is assigned according to its importance, scope of influence, operability and other factors. Weight assignment can be done through various methods such as expert scoring, historical data analysis, simulation and so on.

[0110] 4. Weight adjustment and optimization: With the changes in the coal mine production environment and the feedback on the effectiveness of strategy implementation, the weights need to be adjusted and optimized regularly to ensure the accuracy and effectiveness of the evaluation results.

[0111] The scoring rule is the core of the evaluation system. It sets corresponding scoring standards for each strategy based on the weights of different evaluation strategies and the actual performance of coal mines. These standards can be linear or nonlinear, depending on the nature and objectives of the strategy. The evaluation system obtains real-time data from the risk monitoring system and the risk monitoring system, and cleans, converts and standardizes the data to ensure the accuracy and consistency of the data. According to the scoring rule, the evaluation system calculates the scores of coal mines on various strategies and summarizes these scores to obtain a comprehensive score. At the same time, multiple coal mines can also be compared and ranked horizontally to identify advantages and disadvantages. The evaluation results are presented to decision makers and managers in an intuitive and easy-to-understand way, helping them to quickly understand the operating status and potential problems of coal mines. At the same time, these results can also serve as an important basis for formulating improvement measures and optimization strategies.

[0112] In one embodiment of the present application, the method further includes:

[0113] In the risk monitoring system, the risk surveillance system and the evaluation system, real-time production images and production data of the coal mine are displayed on the screen.

[0114] In one embodiment of the present application, the method further includes:

[0115] When risks are identified, detect the risk type and risk level;

[0116] Based on the risk type and the risk level, a matching emergency response procedure is obtained and executed.

[0117] In one embodiment of the present application, in addition to this, the present application also includes:

[0118] Based on existing data, rules and strategies, a virtual system is built through digital twin technology to facilitate the synchronous management of coal mine production systems.

[0119] Visual large-screen management of various data, tables, lists, monitoring results and regulatory results can improve the efficiency of information display and data utilization, thereby improving management efficiency.

[0120] Build a report center to display the evaluation results generated by the evaluation system in the form of reports.

[0121] A push center was built as a data and message transmission hub to push task information to relevant units, and then push test results and report results to relevant user terminals.

[0122] In the above system, the workflow of the entire information flow processing system is a complex and efficient collaborative process, which ensures the accuracy, consistency and security of data from collection to end-user use. Through the cooperation and collaboration of multiple links, the system provides users with fast and accurate information processing services.

[0123] In the technical solution of the present application, based on the data source of each coal mine production unit, a data acquisition network is formed by establishing a unified data interface and protocol, and the production data generated in each coal mine production unit is obtained through the data acquisition network; business information is obtained through the implementation platform and basic platform of coal mine management; structured data in the business information is identified, and a risk monitoring system based on a big data platform is constructed based on the structured data for application on the mine side; unstructured data in the production data is identified, and a risk monitoring system based on a knowledge engineering platform is constructed based on the unstructured data, which is used to count data of different dimensions on the mining area side; an evaluation system based on an integral rule is generated through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, which is used to conduct a comprehensive evaluation of the overall operation of the coal mine on the regulatory side. The technical solution of this application constructs a risk monitoring system on the mine side, a risk monitoring system on the mining area side, and an evaluation system on the supervision side through the industrial environment of coal mine production and operation. It is adaptable to coal mine analysis and management needs at various levels and depths, and meets the different monitoring and management needs of grassroots production teams to senior corporate managers. It provides strong support for coal mine production operations and decision-making, and improves the comprehensive operational efficiency and comprehensive management capabilities of the coal mine production risk monitoring system.

[0124] The following introduces an embodiment of the device of the present application, which can be used to execute the multi-dimensional fusion processing method for intelligent risk identification of coal mine safety production 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 fusion processing method for intelligent risk identification of coal mine safety production mentioned above in the present application.

[0125] Figure 3 A block diagram of a multi-dimensional fusion processing system for intelligent risk identification in coal mine production safety according to an embodiment of the present application is shown.

[0126] Reference Figure 3 As shown, a multi-dimensional fusion processing system for intelligent risk identification of coal mine safety production according to an embodiment of the present application includes:

[0127] The data unit 310 is used to construct a data acquisition network based on the data sources of each coal mine production unit by establishing a unified data interface and protocol, and to obtain the production data generated in each coal mine production unit through the data acquisition network;

[0128] A business unit 320, for obtaining business information through an implementation platform and a basic platform for coal mine management;

[0129] A monitoring unit 330, configured to identify structural data in the business information, and to construct a risk monitoring system based on a big data platform and applied to the mine side based on the structural data;

[0130] A supervision unit 340 is used to identify unstructured data in production data, and to construct a risk monitoring system based on a knowledge engineering platform based on the unstructured data, so as to collect statistics of data of different dimensions on the mining area side;

[0131] The evaluation unit 350 is used to generate an evaluation system based on integral rules through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, so as to comprehensively evaluate the overall operation of the coal mine on the supervision side.

[0132] In the present application, based on the aforementioned scheme, the identifying of the structural data in the business information includes: identifying whether the data in the business information has an arrangement of rows and columns, or whether it conforms to a predefined data model, and using the qualified data as the structural data; identifying the target field in the business information, the target field having a fixed name and data type, and using the target field as the structural data; using a structured query language to query the data in the business information, and using the queried data as the structural data.

[0133] In the present application, based on the aforementioned scheme, the business information is obtained through the implementation platform and basic platform of coal mine management, including: obtaining identity information input by the user; authenticating the identity information based on historical input information; after the identity authentication is passed, obtaining business information through the implementation platform and basic platform of coal mine management.

[0134] In the present application, based on the aforementioned scheme, the risk monitoring system on the mine side and the risk monitoring system on the mining area side generate an evaluation system based on integral rules, including: obtaining preset indicators for risk assessment; constructing an indicator center and a strategy center through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, in combination with the preset indicators; performing weighted comprehensive management of the indicator data of the indicator center and the evaluation strategy of the strategy center, and generating an evaluation system based on integral rules for comprehensive evaluation of the overall operation of the coal mine.

[0135] In the present application, based on the aforementioned scheme, after constructing the indicator center and the strategy center through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, combined with the preset indicators, it also includes: obtaining task information; detecting the task type of the task information; based on the task type, combining the strategies in the strategy center to generate a combined strategy; based on the combined strategy and the evaluation indicators in the indicator center, identifying risks of the task information.

[0136] In the present application, based on the aforementioned scheme, the method further includes: in the risk monitoring system, the risk surveillance system and the evaluation system, real-time production images and production data of the coal mine are displayed on the screen.

[0137] In the present application, based on the aforementioned solution, the method further includes: when a risk is identified, detecting the risk type and risk level; based on the risk type and the risk level, obtaining and executing a matching emergency response procedure.

[0138] In the technical scheme of the present application, data is collected from the data sources of each coal mine production unit; business information is obtained through the implementation platform and basic platform of coal mine management; structural data in the business information is identified, and a risk monitoring system based on a big data platform applied to the mine side is constructed based on the structural data; unstructured data in production data is identified, and a risk monitoring system based on a knowledge engineering platform is constructed based on the unstructured data, which is used to count data of different dimensions on the mining area side; an evaluation system based on integral rules is generated through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, which is used to comprehensively evaluate the overall operation of the coal mine on the supervision side. The technical scheme of the present application constructs a risk monitoring system on the mine side, a risk monitoring system on the mining area side, and an evaluation system on the supervision side through the industrial environment of coal mine production and operation, which is adapted to coal mine analysis and management needs of various levels and depths, meets the different monitoring and management needs of production teams from the grassroots to senior enterprise managers, provides strong support for the production operation and decision-making of coal mines, and improves the comprehensive operation efficiency and comprehensive management capabilities of the coal mine production risk monitoring system.

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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 fusion processing method for intelligent risk identification of coal mine safety production, characterized in that: include: Based on the data sources of each coal mine production unit, a data acquisition network is formed by establishing a unified data interface and protocol, and the production data generated in each coal mine production unit is obtained through the data acquisition network; Obtain business information through the implementation platform and basic platform of coal mine management; Identify the structural data in the business information, and build a risk monitoring system based on a big data platform for application at the mine side based on the structural data; Identify the unstructured data in the production data, and build a risk monitoring system based on the knowledge engineering platform based on the unstructured data, so as to collect statistics of data of different dimensions on the mining area side; Through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, an evaluation system based on integral rules is generated to conduct a comprehensive evaluation of the overall operation of the coal mine on the supervision side; Wherein, identifying the structural data in the business information includes: Identify whether the data in the business information has a row and column arrangement, or conforms to a predefined data model, and use the data that conforms to the condition as the structural data; and identifying a target field in the business information, the target field having a fixed name and data type, and using the target field as the structured data; and Using structured query language to query the data in the business information, and using the queried data as the structured data; The identifying of the non-structured data in the production data includes at least one of the following methods: identifying textual content having no fixed format or structure from data in said production data; identifying multimedia data in the production data, the multimedia data including images, audio, and video; identifying free-format target data from the production data, the target data comprising emails, social media posts, documents; Among them, through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, an evaluation system based on integral rules is generated, including: Get pre-set indicators for assessing risk; Through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, combined with the preset indicators, an indicator center and a strategy center are constructed; Comprehensively manage the index data of the index center and the evaluation strategy of the strategy center by weight, and generate an evaluation system based on integral rules for comprehensive evaluation of the overall operation of the coal mine; wherein, in the comprehensive management of weight, it includes: identifying and classifying the evaluation strategies in the strategy center; generating weight values ​​by expert scoring, historical data analysis or simulation according to the importance, scope of influence and operability of each evaluation strategy; obtaining feedback information on changes in the coal mine production environment and the effect of strategy execution, and adjusting and optimizing the weights according to the feedback information; Among them, after building the indicator center and the strategy center through the risk monitoring system on the mine side and the risk monitoring system on the mining area side in combination with the preset indicators, it also includes: Acquire task information, and detect the task type of the task information; Based on the task type, combining the strategies in the strategy center to generate a combined strategy; Based on the combined strategy and the evaluation indicators in the indicator center, risk identification is performed on the task information.

2. The method according to claim 1, characterized in that Obtain business information through the implementation platform and basic platform of coal mine management, including: Get the identity information entered by the user; Authentication of the identity information based on historical input information; After identity authentication is passed, business information is obtained through the implementation platform and basic platform of coal mine management.

3. The method according to claim 1, characterized in that: The method further comprises: In the risk monitoring system, the risk surveillance system and the evaluation system, real-time production images and production data of the coal mine are displayed on the screen.

4. The method according to claim 1, characterized in that: The method further comprises: When risks are identified, detect the risk type and risk level; Based on the risk type and the risk level, a matching emergency response procedure is obtained and executed.

5. A multi-dimensional fusion processing system for intelligent risk identification of coal mine safety production, characterized in that: include: A data unit, used to collect data from data sources of various coal mine production units; Business unit, used to obtain business information through the implementation platform and basic platform of coal mine management; A monitoring unit, used for identifying structural data in the business information, and building a risk monitoring system based on a big data platform and applied to the mine side based on the structural data; A supervision unit, used for identifying unstructured data in production data, and building a risk monitoring system based on a knowledge engineering platform based on the unstructured data, for collecting statistics of data of different dimensions on the mining area side; An evaluation unit is used to generate an evaluation system based on integral rules through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, so as to comprehensively evaluate the overall operation of the coal mine on the supervision side; Wherein, identifying the structural data in the business information includes: Identify whether the data in the business information has a row and column arrangement, or conforms to a predefined data model, and use the data that conforms to the condition as the structural data; and identifying a target field in the business information, the target field having a fixed name and data type, and using the target field as the structured data; and Using structured query language to query the data in the business information, and using the queried data as the structured data; The identifying of the non-structured data in the production data includes at least one of the following methods: identifying textual content having no fixed format or structure from data in said production data; identifying multimedia data in the production data, the multimedia data including images, audio, and video; identifying free-format target data from the production data, the target data comprising emails, social media posts, documents; Among them, through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, an evaluation system based on integral rules is generated, including: Get pre-set indicators for assessing risk; Through the risk monitoring system on the mine side and the risk monitoring system on the mining area side, combined with the preset indicators, an indicator center and a strategy center are constructed; Comprehensively manage the index data of the index center and the evaluation strategy of the strategy center by weight, and generate an evaluation system based on integral rules for comprehensive evaluation of the overall operation of the coal mine; wherein, in the comprehensive management of weight, it includes: identifying and classifying the evaluation strategies in the strategy center; generating weight values ​​by expert scoring, historical data analysis or simulation according to the importance, scope of influence and operability of each evaluation strategy; obtaining feedback information on changes in the coal mine production environment and the effect of strategy execution, and adjusting and optimizing the weights according to the feedback information; Among them, after building the indicator center and the strategy center through the risk monitoring system on the mine side and the risk monitoring system on the mining area side in combination with the preset indicators, it also includes: Acquire task information, and detect the task type of the task information; Based on the task type, combining the strategies in the strategy center to generate a combined strategy; Based on the combined strategy and the evaluation indicators in the indicator center, risk identification is performed on the task information.

6. A computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the multi-dimensional fusion processing method for intelligent risk identification of coal mine safety production as described in any one of claims 1 to 4.

7. 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 fusion processing method for intelligent risk identification of coal mine safety production as described in any one of claims 1 to 4.

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