Coal mine post standardization operation whole-process intelligent management and control system

Abstract

The application provides a coal mine post standardization operation whole-process intelligent management and control system, and relates to the technical field of coal mine safety. The system comprises a mobile terminal post standardization operation management and control APP and a background management and control platform. The background management and control platform is pre-provisioned with structured operation units obtained by decomposing post regulations. The mobile terminal APP pushes visual operation instructions in each process during operation, and performs compliance verification based on a lightweight AI model. Only when the human confirmation and AI verification pass the double verification, the next process can be unlocked. Meanwhile, rectification requirements are generated for irregular behaviors, and rectification supporting materials are received to initiate re-examination. The personnel, time, process and verification results are automatically collected and associated throughout the whole process. Through the digital process guidance, rigid process constraint and automatic trace mechanism, the rigid guarantee of post standard execution, the instant closed loop of irregular disposal and the credible traceability of the whole operation process are realized.

Description

Technical Field

[0001] This application relates to the field of coal mine safety technology, and in particular to an intelligent control system for the entire process of standardized operations in coal mines. Background Technology

[0002] Coal mine safety is a core prerequisite for the stable development of the energy industry. Standardized operation of work positions is the core foundation for preventing on-site operational risks and curbing production safety accidents, and it is also a core component of the coal mine safety management system. In related technologies, standardized management of coal mine positions generally adopts the traditional model of "paper-based procedure dissemination + manual on-site supervision + post-event record filling." With the advancement of intelligent construction, although some mines have introduced mobile applications for safety management and intelligent video monitoring systems, significant limitations remain: existing mobile applications mostly focus on single functions such as attendance and hazard reporting, failing to provide real-time operational guidance; video monitoring systems "emphasize identification but neglect handling," only issuing alarms after violations and failing to correct them on the spot, resulting in a certain lag in management. Therefore, there is an urgent need for a full-process intelligent management and control technology solution that can deeply integrate standardized guidance, rigid execution, closed-loop handling, and adaptation to the underground environment. Summary of the Invention

[0003] This application aims to at least partially address one of the technical problems in the related art.

[0004] Therefore, the first aspect of this application proposes an intelligent control system for the entire process of standardized operations in coal mines, including a back-end control platform and a mobile operation control application; wherein,

[0005] The back-end management platform includes: The standardized operation digital library is used to pre-store structured operation units obtained by breaking down the standardized operation procedures of various positions in the coal mine and sorting them by operation steps. Each structured operation unit includes at least operation prompts, step details, risk point warnings and compliance check items. The workflow visualization guidance module is used to push structured operation units corresponding to the current job position to the mobile job management application; The mobile job management application includes: The AI-assisted self-inspection and real-time violation warning module is used to collect real-time on-site data during the operation and perform compliance verification on the operation behavior and environment based on a lightweight AI inference model, and output the verification results. When the current process receives a manual confirmation instruction and the verification result is compliant, the permission for the next process is unlocked. The closed-loop management module for handling violations is used to generate rectification requirements and push them to the operators in response to the verification result being a violation, and to receive supporting materials for rectification to initiate a review application; The automatic work process recording module is used to automatically collect and record operator information, work timestamps, process confirmation records, AI verification results, violation records and rectification records throughout the entire work process, so as to generate an electronic archive of the entire work process.

[0006] In some embodiments of this application, the mobile operation management application further includes: a downhole special scenario adaptation module; the downhole special scenario adaptation module includes: The interface adaptation unit is used to adapt the contrast, font size and UI design to the display characteristics and low light operating environment of the underground explosion-proof mobile terminal. The offline operation unit is used to pre-download the corresponding job operation guidelines, standardized processes and lightweight AI inference models before the operation, so as to support full-function offline operation in downhole environments with no network or weak network, and automatically synchronize the offline operation data to the background management platform after the network is restored.

[0007] In some embodiments of this application, the AI-assisted self-check and real-time violation warning module includes: The on-site video AI inspection unit is used to collect real-time video streams of the work site through the mobile operation management application, and call the lightweight AI inference model to verify compliance of at least one of the following: workers' protective equipment wearing, equipment operation standardization, work environment safety conditions, and warning area settings. The real-time violation warning unit is used to push warning information and standard correction guidance through at least one of the following methods in the mobile terminal operation management application when the verification result is a violation: pop-up window, vibration, and sound and light prompts. The rigid process control unit is used to bind the verification result to the current work process. When it receives the manual confirmation instruction of the current process and the verification result is compliant, it unlocks the permission for the next process.

[0008] In some embodiments of this application, the process rigid control unit also supports custom configuration of the dependencies and unlocking conditions of parallel processes or branch processes.

[0009] In some embodiments of this application, the closed-loop management module for handling violations further includes: The rectification and handling unit is used to generate a rectification confirmation application in response to the work personnel uploading supporting materials for the rectification results. The result review and feedback unit is used to push the rectification confirmation application to the management personnel terminal for online review. If the review is successful, the closed-loop processing is completed; if the review fails, it is returned to the rectification stage. The assessment linkage unit is used to automatically synchronize the violation records and corresponding rectification results generated by the AI-assisted self-inspection and real-time violation early warning module to the employee safety assessment ledger, so as to establish a link with work assessment.

[0010] In some embodiments of this application, the automatic job recording module further includes: The ledger management and data analysis unit is used to summarize the electronic files of the entire process of each operation into a management ledger, and to statistically analyze the operation compliance rate, high-frequency violation types and process adaptability.

[0011] In some embodiments of this application, the back-end management and control platform further includes a third-party system linkage and docking module; the third-party system linkage and docking module is used to provide standardized API interfaces to dock with at least one of the existing coal mine integrated management and control system, safety monitoring system, personnel positioning system and video surveillance system.

[0012] The second aspect of this application proposes a method for intelligent control of the entire process of standardized operations in coal mines, applied to the system described in the first aspect above. The method includes the following steps: The standardized operating procedures for each position in the coal mine are broken down into structured operating units arranged by process. Each unit is matched with operation prompts, step details, risk warnings and compliance check items to form a digital library of standardized operations for each position and synchronize it to the mobile operation management application. Visual operation guidance is pushed out step by step according to the process sequence. Each process is subject to dual verification of manual confirmation and compliance verification by a lightweight AI inference model. After receiving the manual confirmation instruction and the verification result of compliance for the current process, the process is unlocked and proceeds to the next process. During the operation, real-time on-site data is collected, and a lightweight AI inference model is used to verify the compliance of the operation behavior and the environment, and the verification results are output. In response to the verification result being a violation, the violation information is automatically recorded, rectification requirements are pushed to the operators, and supporting rectification materials are received to initiate a review application. After online review and approval by the management personnel, the violation is archived in a closed loop, and the handling result is synchronized to the assessment ledger. Throughout the entire operation, information on the operators, timestamps, process confirmation records, AI verification results, violation records, and rectification records are automatically collected and linked to generate an electronic archive of the entire operation process.

[0013] In some embodiments of this application, the method further includes: before entering a network-free or weak network environment, pre-downloading the corresponding job operation guidelines, standardized processes and lightweight AI inference models through a mobile job management application, and automatically transmitting offline operation data back after the network is restored.

[0014] In some embodiments of this application, the method further includes: summarizing the electronic files of the entire process of each operation to form a management ledger, and statistically analyzing the operation compliance rate, high-frequency violation types, and process adaptability.

[0015] The intelligent control system for standardized operations in coal mines provided in this application deeply integrates a mobile operation control application with a back-end control platform, constructing a closed-loop control system covering the entire operation process. Before operation, the mobile operation control application retrieves pre-set structured operation units from the back-end control platform, transforming abstract paper procedures into visual operation guidelines ordered by process. It pushes operation prompts, risk warnings, and compliance checks to operators step by step, enabling them to receive accurate and timely standardized guidance at each process node, fundamentally solving the problem of the disconnect between job standards and on-site operations. During operation, the system uses a lightweight AI inference model to perform real-time compliance verification of work behavior and the environment, rigidly binding the verification results to the process progress. Unlocking is only possible when both manual operation confirmation and AI verification compliance are simultaneously met. Moving to the next process, the system rigorously ensures the strict and rigid implementation of job standards from a technical perspective, eliminating non-standard operations such as skipping steps or omitting items. At the same time, the system immediately generates rectification requirements for violations detected during verification and pushes them to the operators. It also receives supporting materials for rectification and initiates review applications, seamlessly connecting the identification, warning, and rectification links to form a handling chain. Throughout the entire operation, the system automatically collects and records personnel information, timestamps, process confirmation records, AI verification results, and violation rectification records. No manual intervention is required throughout the entire process, and the system automatically generates an unalterable electronic archive of the entire operation process, achieving a reliable and traceable record of the entire chain from standard implementation and process control to post-event traceability.

[0016] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0017] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 A schematic diagram of a standardized operation process intelligent control system for coal mine positions provided in this application embodiment; Figure 2 A schematic diagram of the operation list display interface of a standardized operation process intelligent management and control system for coal mine positions, provided in an embodiment of this application, applied to a terminal. Figure 3 A schematic diagram of the operation step details display interface of a coal mine standardized operation full-process intelligent control system provided in this application embodiment; Figure 4 This is a flowchart illustrating a method for intelligent control of the entire standardized operation process in a coal mine, as provided in an embodiment of this application. Detailed Implementation

[0018] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0019] Specifically, the following describes an embodiment of the intelligent control system for the entire process of standardized operations in coal mines, with reference to the accompanying drawings.

[0020] Figure 1 This is a schematic diagram of a standardized operation process intelligent control system for coal mine positions, provided as an embodiment of this application. Figure 1 As shown, the intelligent control system 100 for the entire process of standardized operation in coal mines may include a back-end control platform 200 and a mobile operation control application 300.

[0021] The back-end management platform 200 includes a standardized job operation digital database 210 and a work process visualization guidance module 220.

[0022] The Standardized Operations Digital Library 210 is used to pre-store structured operation units ordered by work procedures, derived from the breakdown of standardized operation procedures for various positions in coal mines. Each structured operation unit includes at least operation prompts, step details, risk warnings, and compliance check items. As an example, the Standardized Operations Digital Library 210 can pre-store standardized operation procedures for all critical positions in coal mines, such as installation and withdrawal in fully mechanized mining faces, underground tunneling, and surface high-altitude operations, breaking down paper operation procedures into structured operation units ordered by work procedures.

[0023] The workflow visualization guidance module 220 is used to push structured operation units corresponding to the current job position to the mobile job management application.

[0024] The mobile operation management application 300 can synchronously access the structured operation units of the corresponding positions and push visual operation guidance step by step during the operation. At the same time, it has a built-in compliance verification engine based on the fine-tuning of the large mine model, which can extract the core inspection points of the job and assist the operators in completing the on-site compliance self-check before the operation. Only after the verification is passed can the formal operation start.

[0025] In some embodiments of this application, the back-end management platform 200 may further include a third-party system integration module 230; the third-party system integration module 230 is used to provide standardized API interfaces to integrate with at least one of the existing coal mine integrated management and control system, safety monitoring system, personnel positioning system, and video surveillance system. This enables bidirectional data exchange, synchronizing mobile terminal operation data to the existing management system, while simultaneously retrieving data from existing systems to assist in compliance assessment.

[0026] The mobile operation management application 300 includes: an AI-assisted self-inspection and real-time violation warning module 310, a closed-loop management module for violation handling 320, and an automatic operation process recording module 330.

[0027] The AI-assisted self-inspection and real-time violation warning module 310 is used to collect real-time on-site data during the operation and perform compliance verification on the operation behavior and environment based on a lightweight AI inference model, and output the verification results. When it receives the dual verification of the current process manual confirmation instruction and the verification result being compliant, it unlocks the permission for the next process.

[0028] In some embodiments of this application, the AI-assisted self-inspection and real-time violation warning module 310 may include: an on-site video AI inspection unit 311, a real-time violation warning unit 312, and a process rigid control unit 313.

[0029] Among them, the on-site video AI inspection unit 311 is used to collect real-time video streams of the work site through the mobile operation management application, and call a lightweight AI inference model to verify compliance of at least one of the following: workers' protective clothing, equipment operation specifications, work environment safety conditions, and warning area settings. The real-time violation warning unit 312 is used to push warning information and standard correction guidance through at least one of the following methods when the verification result is a violation: pop-up window, vibration, and sound and light prompts in the mobile operation management application. The rigid control unit 313 is used to bind the verification result to the current work process. When it receives the manual confirmation instruction of the current process and the verification result is compliant, it unlocks the permission of the next process, thereby realizing rigid control of the work process.

[0030] Optionally, the rigid control unit 313 can also support custom configuration of the dependencies and unlocking conditions of parallel processes or branch processes to adapt to the needs of multi-shift collaborative operations and complex cross-operations.

[0031] The closed-loop management module 320 for handling violations is used to generate rectification requirements and push them to the operators in response to the verification result of a violation, and to receive supporting materials for rectification to initiate a review application.

[0032] In some embodiments of this application, the closed-loop management module 320 for handling violations may include: a rectification and handling unit 321, a result review and feedback unit 322, and an assessment linkage unit 323.

[0033] Among them, the rectification and disposal unit 321 is used to generate a rectification confirmation application in response to the operator uploading supporting materials for the rectification results; The result review and feedback unit 322 is used to push the rectification confirmation application to the management personnel terminal for online review. If the review is successful, the closed-loop processing is completed; if the review fails, it is returned to the rectification stage. The assessment linkage unit 323 is used to automatically synchronize the violation records and corresponding rectification results generated by the AI-assisted self-inspection and real-time violation warning module to the employee safety assessment ledger, so as to establish a link with the work assessment and directly link it with the individual's work assessment and safety points.

[0034] The automatic work process recording module 330 is used to automatically collect and record operator information, work timestamps, process confirmation records, AI verification results, violation records and rectification records throughout the entire work process to generate an electronic archive of the entire work process.

[0035] In some embodiments of this application, the automatic recording module 330 for the work process may include: an automatic recording unit for the entire process 331 and an automatic electronic file generation unit 332.

[0036] Among them, the full-process automatic recording unit 331 is used to collect data on the entire life cycle of the operation in real time, including operator information, operation timestamp, process confirmation record, AI recognition result, violation rectification record, and personnel location trajectory, without the need for manual data entry throughout the entire process; The electronic record automatic generation unit 332 is used to automatically integrate the data and image materials of the entire process after the operation is completed, generate standardized electronic records of the operation, classify and store them according to preset rules, and support access and viewing within the authorized permissions.

[0037] Optionally, in some embodiments, the automatic work process recording module 330 may also include a ledger management and data analysis unit 333, which is used to summarize the electronic files of the entire work process generated by each work into a management ledger, and to statistically analyze the work compliance rate, high-frequency violation types and process adaptability, so as to provide data support for process optimization and training adjustment.

[0038] To adapt to the special environment of low light, weak network, and limited performance of explosion-proof terminals in underground coal mines, and to enable the control system to be effectively implemented on the front-line operation site, in some embodiments of this application, the mobile operation control application 300 may further include an underground special scenario adaptation module 340. The underground special scenario adaptation module 340 includes an interface adaptation unit 341 and an offline operation unit 342.

[0039] The interface adaptation unit 341 is used to adapt the contrast, font size, and UI design to the display characteristics and low-light operating environment of the underground explosion-proof mobile terminal. For example, it adopts a UI design with large fonts, high contrast, and minimalist interaction to adapt to the screen size and display characteristics of the underground explosion-proof mobile phone, meeting the need for quick viewing in low-light environments.

[0040] The offline operation unit 342 is used to pre-download the corresponding job operation guidelines, standardized processes and lightweight AI inference models before the operation, so as to support full-function offline operation in downhole environments with no network or weak network, and automatically synchronize offline operation data to the background management platform after the network is restored.

[0041] This application adopts a full-chain intelligent closed-loop management paradigm of "perception-response-execution-traceability" anchored by standardized job operations, which connects the entire process of "standardization-execution-supervision-assessment-traceability" and solves the core pain points of existing systems such as fragmented application and lack of closed loop.

[0042] Figure 2 This is a schematic diagram of the operation list display interface of a standardized operation process intelligent management and control system for coal mine positions, provided in an embodiment of this application, applied to a terminal. Figure 3 This is a schematic diagram of the operation step details display interface of a standardized operation full-process intelligent control system for coal mine positions, provided in an embodiment of this application.

[0043] By implementing the embodiments of this application, a closed-loop management system covering the entire operation process is constructed through deep integration of the mobile operation management application and the back-end management platform. Before the operation, the mobile operation management application retrieves pre-set structured operation units from the back-end management platform, transforming abstract paper procedures into visual operation guidelines ordered by process. It then pushes operation prompts, risk warnings, and compliance checks to the operators step by step, enabling them to receive accurate and timely standardized guidance at each process node, fundamentally solving the problem of the disconnect between job standards and on-site operations. During the operation, the system uses a lightweight AI inference model to perform real-time compliance verification of the operation behavior and environment, and rigidly binds the verification results to the process progress. The system can only be unlocked under the dual conditions of simultaneous manual operation confirmation and AI verification compliance. Moving to the next process, the system rigorously ensures the strict and rigid implementation of job standards from a technical perspective, eliminating non-standard operations such as skipping steps or omitting items. At the same time, the system immediately generates rectification requirements for violations detected during verification and pushes them to the operators. It also receives supporting materials for rectification and initiates review applications, seamlessly connecting the identification, warning, and rectification links to form a handling chain. Throughout the entire operation, the system automatically collects and records personnel information, timestamps, process confirmation records, AI verification results, and violation rectification records. No manual intervention is required throughout the entire process, and the system automatically generates an unalterable electronic archive of the entire operation process, achieving a reliable and traceable record of the entire chain from standard implementation and process control to post-event traceability.

[0044] Figure 4 This is a flowchart illustrating a method for intelligent control of the entire standardized operation process in coal mines, provided as an embodiment of this application. This method is applied to the intelligent control system for the entire standardized operation process in coal mines in any of the foregoing embodiments. Figure 2As shown, the intelligent control method for the entire process of standardized operations in coal mines may include the following steps: Step 401: Decompose the standardized operating procedures for each position in the coal mine into structured operating units ordered by process, and match each unit with operation prompts, step details, risk warnings and compliance check items to form a digital library of standardized operations for each position and synchronize it to the mobile operation management application.

[0045] Step 402: Push visual operation guidance step by step according to the process sequence. Perform dual verification of each process by manual confirmation and compliance verification by a lightweight AI inference model. After receiving the manual confirmation instruction and the verification result of compliance for the current process, unlock and proceed to the next process.

[0046] In some embodiments of this application, operators can log in to a mobile operation management application (APP) through an explosion-proof mobile terminal, select the corresponding job operation process, and pre-download offline resources and lightweight AI models; the APP pushes compliance check items before operation, and combines AI visual recognition to assist operators in completing on-site pre-condition self-checks. After all checks are passed, formal operation is started.

[0047] Step 403: Collect real-time data during the operation, use a lightweight AI inference model to perform compliance verification on the operation behavior and environment, and output the verification results.

[0048] The mobile operation management application pushes visual operation guidance step by step according to the process sequence. Each process requires dual verification: manual confirmation of the current process instruction and compliance verification result. Only after successful verification can the next process be started. During the operation, a lightweight AI inference model collects on-site video in real time, identifies violations and non-compliant operations, and immediately pushes early warning information and corrective guidance, realizing real-time intervention throughout the entire operation process.

[0049] Step 404: In response to the verification result being a violation, the violation information is automatically recorded, rectification requirements are pushed to the operators, and supporting rectification materials are received to initiate a review application. After online review and approval by the management personnel, the process is closed and archived, and the handling results are synchronized to the assessment ledger.

[0050] Upon identifying a violation, the system automatically records all elements of the violation and sends a rectification request. After completing the rectification, the operator uploads supporting documentation to the standardized work operation database and submits a review application. Once the management personnel review and approve the application online, the closed-loop process is complete. The violation record and rectification results are synchronized to the employee's safety assessment log and linked to work performance evaluations.

[0051] Step 405: Automatically collect and associate records of operator information, operation timestamps, process confirmation records, AI verification results, violation records and rectification records throughout the entire operation process to generate an electronic archive of the entire operation process.

[0052] Throughout the entire operation, data is automatically collected without manual input, ensuring a reliable record of the entire process. After the operation is completed, the system automatically integrates all data and image materials to generate a standardized electronic archive of the entire operation process, which is categorized and stored according to preset rules and can be accessed and viewed within authorized permissions.

[0053] In some embodiments of this application, before entering a network-free or weak network environment, the operation guidelines, standardized processes, and lightweight AI inference models for the corresponding positions can be pre-downloaded through a mobile job management application, and the offline operation data can be automatically transmitted back after the network is restored.

[0054] In some embodiments of this application, the electronic records of the entire work process generated from each operation can be aggregated into a management ledger, and the compliance rate, high-frequency violation types, and process adaptability can be statistically analyzed. The electronic records are automatically synchronized to the back-end management platform to form a company-level job operation management ledger. By analyzing data to identify management pain points and high-frequency risks, job operation procedures can be optimized in a targeted manner, safety training content can be adjusted, and the existing comprehensive management and control platform of the coal mine can be connected to achieve system-wide data collaboration and promote the continuous improvement of the job standardization system.

[0055] By implementing the embodiments of this application, standardized operating procedures are pre-digitally broken down into structured operational units ordered by process, and visual operation guidance is pushed step by step during the operation. This allows operators to obtain accurate and timely operation prompts and compliance check basis at each process node, thereby eliminating the drawbacks of paper procedures being disconnected from on-site operations. By enforcing a dual verification mechanism of manual confirmation and AI compliance verification at each process node, the next process can only be unlocked after both are passed. This rigidly constrains the standardized progress of the work process from the execution logic, preventing non-standard operating behaviors such as skipping steps or omitting items. For violations identified in the operation, rectification tasks are automatically generated, and online review of rectification results is supported, organically connecting the identification, handling, and review links. Throughout the entire operation, personnel information, timestamps, process confirmation, verification results, and rectification records are all automatically collected and associated by the system. Unalterable full-process electronic archives can be generated without manual intervention, fundamentally ensuring the credible traceability and auditability of the operation process.

[0056] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0057] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0058] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0059] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0060] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0061] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0062] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A fully intelligent control system for standardized operations in coal mines, characterized in that, This includes a back-end management platform and a mobile job management application; among which, The back-end management platform includes: The standardized operation digital library is used to pre-store structured operation units obtained by breaking down the standardized operation procedures of various positions in the coal mine and sorting them by operation steps. Each structured operation unit includes at least operation prompts, step details, risk point warnings and compliance check items. The workflow visualization guidance module is used to push structured operation units corresponding to the current job position to the mobile job management application; The mobile job management application includes: The AI-assisted self-inspection and real-time violation warning module is used to collect real-time on-site data during the operation and perform compliance verification on the operation behavior and environment based on a lightweight AI inference model, and output the verification results. When the current process receives a manual confirmation instruction and the verification result is compliant, the permission for the next process is unlocked. The closed-loop management module for handling violations is used to generate rectification requirements and push them to the operators in response to the verification result being a violation, and to receive supporting materials for rectification to initiate a review application; The automatic work process recording module is used to automatically collect and record operator information, work timestamps, process confirmation records, AI verification results, violation records and rectification records throughout the entire work process, so as to generate an electronic archive of the entire work process.

2. The system according to claim 1, characterized in that, The mobile operation management application also includes: a downhole special scenario adaptation module; the downhole special scenario adaptation module includes: The interface adaptation unit is used to adapt the contrast, font size and UI design to the display characteristics and low light operating environment of the underground explosion-proof mobile terminal. The offline operation unit is used to pre-download the corresponding job operation guidelines, standardized processes and lightweight AI inference models before the operation, so as to support full-function offline operation in downhole environments with no network or weak network, and automatically synchronize the offline operation data to the background management platform after the network is restored.

3. The system according to claim 1, characterized in that, The AI-assisted self-inspection and real-time violation early warning module includes: The on-site video AI inspection unit is used to collect real-time video streams of the work site through the mobile operation management application, and call the lightweight AI inference model to verify compliance of at least one of the following: workers' protective equipment wearing, equipment operation standardization, work environment safety conditions, and warning area settings. The real-time violation warning unit is used to push warning information and standard correction guidance through at least one of the following methods in the mobile terminal operation management application when the verification result is a violation: pop-up window, vibration, and sound and light prompts. The rigid process control unit is used to bind the verification result to the current work process. When it receives the manual confirmation instruction of the current process and the verification result is compliant, it unlocks the permission for the next process.

4. The system according to claim 3, characterized in that, The rigid control unit for the process also supports custom configuration of the dependencies and unlocking conditions of parallel processes or branch processes.

5. The system according to claim 1, characterized in that, The closed-loop management module for handling violations also includes: The rectification and handling unit is used to generate a rectification confirmation application in response to the work personnel uploading supporting materials for the rectification results. The result review and feedback unit is used to push the rectification confirmation application to the management personnel terminal for online review. If the review is successful, the closed-loop processing is completed; if the review fails, it is returned to the rectification stage. The assessment linkage unit is used to automatically synchronize the violation records and corresponding rectification results generated by the AI-assisted self-inspection and real-time violation early warning module to the employee safety assessment ledger, so as to establish a link with work assessment.

6. The system according to claim 1, characterized in that, The automatic recording module for the work process also includes: The ledger management and data analysis unit is used to summarize the electronic files of the entire process of each operation into a management ledger, and to statistically analyze the operation compliance rate, high-frequency violation types and process adaptability.

7. The system according to claim 1, characterized in that, The back-end management and control platform also includes a third-party system linkage and integration module; the third-party system linkage and integration module is used to provide standardized API interfaces to connect with at least one of the coal mine's existing integrated management and control system, safety monitoring system, personnel positioning system and video surveillance system.

8. A method for intelligent control of the entire process of standardized operations in coal mines, applied to the system described in any one of claims 1 to 8, characterized in that, The method includes the following steps: The standardized operating procedures for each position in the coal mine are broken down into structured operating units arranged by process. Each unit is matched with operation prompts, step details, risk warnings and compliance check items to form a digital library of standardized operations for each position and synchronize it to the mobile operation management application. Visual operation guidance is pushed out step by step according to the process sequence. Each process is subject to dual verification of manual confirmation and compliance verification by a lightweight AI inference model. After receiving the manual confirmation instruction and the verification result of compliance for the current process, the process is unlocked and proceeds to the next process. During the operation, real-time on-site data is collected, and a lightweight AI inference model is used to verify the compliance of the operation behavior and the environment, and the verification results are output. In response to the verification result being a violation, the violation information is automatically recorded, rectification requirements are pushed to the operators, and supporting rectification materials are received to initiate a review application. After online review and approval by the management personnel, the violation is archived in a closed loop, and the handling result is synchronized to the assessment ledger. Throughout the entire operation, information on the operators, timestamps, process confirmation records, AI verification results, violation records, and rectification records are automatically collected and linked to generate an electronic archive of the entire operation process.

9. The method according to claim 8, characterized in that, Also includes: Before entering a network-free or weak network environment, the corresponding job operation guide, standardized process and lightweight AI inference model are pre-downloaded through the mobile job management application, and the offline operation data is automatically transmitted back after the network is restored.

10. The method according to claim 8, characterized in that, Also includes: The electronic files of the entire process of each operation are compiled into a management ledger, and the operation compliance rate, high-frequency violation types and process adaptability are statistically analyzed.

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