Operation safety risk management and control method and device, electronic equipment and storage medium

Abstract

The invention discloses an operation safety risk management and control method and device, electronic equipment and a storage medium, and the method and device can achieve the real-time collection of the multi-source monitoring data of an operation site, carry out the dynamic analysis, actively recognize the safety risk, timely trigger the early warning, and execute the targeted risk intervention. Meanwhile, data of the whole process of risk identification, early warning, intervention and verification are completely recorded, a traceable safety management record is formed, dependence on fragmented artificial experience and tedious checking of paper documents are avoided, the real-time management and control and traceability of the maintenance process are enhanced, and the maintenance efficiency is improved. The technical effects of improving the timeliness and accuracy of maintenance safety risk identification, realizing traceable management and control of the whole maintenance process, reducing the dependence on artificial experience, simplifying the acceptance flow, meeting the real-time requirement of high-parameter equipment maintenance, and ensuring the maintenance quality and operation safety are achieved.

Description

Technical Field

[0001] This disclosure relates to the field of data processing technology, and in particular to a method and apparatus for managing operational safety risks, electronic equipment, and storage medium. Background Technology

[0002] Thermal power equipment maintenance, as a core component of power production assurance, is widely applied to the maintenance and management of critical equipment such as boilers, steam turbines, and generators. Related technologies utilize a collaborative approach combining manual inspections, written instructions, and traditional sensors to construct a maintenance system based on safety control, quality inspection, and acceptance management. Specifically, this system covers the entire process from equipment condition monitoring to maintenance acceptance, including key aspects such as safety protection, process execution, and quality assessment. With the increasing demands for higher parameters and intelligent transformation of thermal power units, existing technologies typically employ a management model dominated by manual experience. However, this approach suffers from multiple technical shortcomings: safety warnings rely on post-event verification, quality control lacks process traceability, technical guidance depends on fragmented experience transmission, and the acceptance process requires manual verification of numerous paper documents, making it difficult to meet the real-time requirements of high-parameter equipment maintenance. Summary of the Invention

[0003] This disclosure provides a method, apparatus, electronic device, and storage medium for managing operational safety risks.

[0004] According to a first aspect of this disclosure, a method for managing and controlling operational safety risks is provided, comprising: Collect multi-source monitoring data from the work site; The multi-source monitoring data is analyzed in real time to identify safety risks during the operation. Based on the identified security risks, trigger warnings and execute corresponding risk intervention operations; Record data throughout the entire process of risk identification, early warning, intervention, and verification, and create a traceable safety management record.

[0005] Optionally, the multi-source monitoring data collected at the work site includes: Collect video information and personnel movement information; Environmental sensors are used to collect environmental status information of the work area.

[0006] Optionally, the real-time analysis of multi-source monitoring data to identify security risks includes: Based on image recognition technology, video information is analyzed to determine whether work behavior complies with safety regulations; Based on motion capture technology, people's movement information is analyzed to identify unauthorized or dangerous postures.

[0007] Optionally, performing the corresponding risk intervention operations includes: Send early warning notifications that match the risk level to operators and remote supervisors; Based on identified high-risk operations, temporarily restrict or disable the control functions of associated devices.

[0008] Optionally, the recording of data throughout the entire process and the formation of traceable security management records include: The data on the operation process, risk events, handling measures, and verification results are stored together. The stored data is used to generate a job safety and quality evaluation report.

[0009] Optionally, before collecting the multi-source monitoring data, the method further includes: Send work task instructions containing safety requirements to the work terminal; Before the operation begins, the safety procedures for the operators are confirmed through the operation terminal.

[0010] According to a second aspect of this disclosure, a work safety risk management and control device is provided, comprising: The data acquisition unit is also used to collect multi-source monitoring data from the work site; The analysis unit is also used to perform real-time analysis of the multi-source monitoring data to identify safety risks during the operation process; The triggering unit is also used to trigger an early warning and perform corresponding risk intervention operations based on the identified security risks; The recording unit is also used to record data throughout the entire process of risk identification, early warning, intervention and verification, and to form a traceable safety management record.

[0011] Optionally, the acquisition unit is further configured to: Collect video information and personnel movement information; Environmental sensors are used to collect environmental status information of the work area.

[0012] Optionally, the analysis unit is further configured to: Based on image recognition technology, video information is analyzed to determine whether work behavior complies with safety regulations; Based on motion capture technology, people's movement information is analyzed to identify unauthorized or dangerous postures.

[0013] Optionally, the triggering unit is further configured to: Send early warning notifications that match the risk level to operators and remote supervisors; Based on identified high-risk operations, temporarily restrict or disable the control functions of associated devices.

[0014] Optionally, the recording unit is further configured to: The data on the operation process, risk events, handling measures, and verification results are stored together. The stored data is used to generate a job safety and quality evaluation report.

[0015] Optionally, the device further includes: The issuing unit is also used to issue work task instructions containing safety requirements to the work terminal; The confirmation unit is also used to confirm the safety procedures of the operators through the work terminal before the start of the operation.

[0016] According to a third aspect of this disclosure, an electronic device is provided, comprising: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect above.

[0017] According to a fourth aspect of this disclosure, a non-transitory computer-readable storage medium is provided storing computer instructions, wherein the computer instructions are configured to cause the computer to perform the method described in the first aspect above.

[0018] According to a fifth aspect of this disclosure, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the method described in the first aspect above.

[0019] The operational safety risk management method, device, electronic equipment, and storage medium disclosed herein, through real-time acquisition and dynamic analysis of multi-source monitoring data at the work site, proactively identify safety risks, promptly trigger early warnings and execute targeted risk interventions, and simultaneously record the entire process of risk identification, early warning, intervention, and verification, forming a traceable safety management record. This eliminates reliance on fragmented manual experience and cumbersome paper document verification, strengthening the real-time control and traceability capabilities of the maintenance process. Therefore, it can solve the technical defects of existing thermal power equipment maintenance technology, such as safety early warning relying on post-event verification, lack of process traceability in quality control, reliance on fragmented experience in technical guidance, and cumbersome and insufficient real-time acceptance procedures. It achieves the technical effects of improving the timeliness and accuracy of maintenance safety risk identification, realizing traceable control of the entire maintenance process, reducing reliance on manual experience, simplifying the acceptance process, meeting the real-time requirements of high-parameter equipment maintenance, and ensuring maintenance quality and operational safety.

[0020] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0021] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein: Figure 1 A flowchart illustrating a work safety risk management method provided in an embodiment of this disclosure; Figure 2 This is a schematic diagram of the structure of a work safety risk management and control device provided in an embodiment of the present disclosure; Figure 3 This is a schematic diagram of the structure of a work safety risk management and control device provided in an embodiment of the present disclosure; Figure 4 A schematic block diagram of an example electronic device provided for embodiments of this disclosure. Detailed Implementation

[0022] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0023] The following description, with reference to the accompanying drawings, outlines a method, apparatus, electronic device, and storage medium for managing operational safety risks according to embodiments of this disclosure.

[0024] Figure 1 This is a flowchart illustrating a method for managing operational safety risks provided in an embodiment of this disclosure.

[0025] like Figure 1 As shown, the method includes the following steps: Step 101: Collect multi-source monitoring data at the work site; This is achieved through an intelligent data acquisition terminal, which integrates multiple sensors to comprehensively capture on-site information. A smart safety helmet serves as the core acquisition device, equipped with a wide-angle camera to record real-time video of the operation, ensuring complete visual coverage. A six-axis attitude sensor continuously monitors personnel posture to assess operational stability. An infrared temperature sensor detects changes in ambient temperature to prevent high-temperature risks. A gas sensor monitors the concentration of harmful gases such as methane, providing early warning of potential leaks. These sensors work synchronously, forming a multi-source monitoring data stream including video data, attitude data, temperature data, and gas concentration data. A portable inspection instrument serves as an interactive terminal, receiving and displaying the above data, while also supporting manual input of inspection parameters such as torque or measured values, supplementing the limitations of automated data acquisition. The acquisition process transmits data to the processing node in real-time via wireless communication technologies such as Bluetooth or mobile networks, ensuring data timeliness and continuity. The multi-source monitoring data covers multiple dimensions, including personnel operation behavior, environmental conditions, and equipment conditions, providing a comprehensive and accurate input foundation for subsequent processes. This effectively avoids the limitations of traditional single data sources and reduces errors and omissions that may be introduced by manual intervention through automated acquisition, thereby improving overall data quality and reliability.

[0026] Step 102: Perform real-time analysis on the multi-source monitoring data to identify safety risks during the operation. This is accomplished through an analytics engine deployed on edge computing nodes or cloud platforms, built upon artificial intelligence models and a domain knowledge base. The analytics engine simultaneously receives and processes video streams, sensor signals, and manually entered data. It uses computer vision algorithms to analyze video images, identify worker actions, and compares these with a predefined safety operating procedure knowledge base to determine if any violations exist. Simultaneously, the analytics engine analyzes data streams from various sensors in real time, including temperature, gas concentration, and personnel posture data. It compares these real-time values ​​with preset risk thresholds to identify potential hazards such as abnormal environmental conditions and unstable personnel postures. Through the fusion analysis and comprehensive judgment of multi-dimensional data, this step can automatically and in real time identify various typical safety risks, including but not limited to personnel violations, lack of safety protection, environmental anomalies, and equipment malfunctions. It also creates structured risk event records with the identified risk types, risk levels, and associated data, providing a clear basis for subsequent risk warnings and interventions. This represents a shift from passive monitoring to proactive risk identification, significantly improving the timeliness and accuracy of safety risk discovery.

[0027] Step 103: Based on the identified security risks, trigger an early warning and execute corresponding risk intervention operations; The system activates immediately upon identifying a specific risk event. Based on the risk type and level, the early warning trigger mechanism sends immediate alerts to operators and relevant management personnel through multiple sensing channels. For on-site personnel, the warning information is delivered via voice broadcast through the voice module integrated into the smart safety helmet, providing clear risk warnings and corrective instructions. Simultaneously, a bright, flashing visual warning is displayed on the portable inspection device's screen, possibly accompanied by tactile feedback from a vibration motor, creating a multimodal alert to ensure effective information delivery. For serious violations or equipment malfunctions requiring immediate intervention, the system automatically executes preset intervention actions, such as remotely locking or restricting the portable inspection device's access to specific equipment, technically forcibly interrupting the risky behavior. Simultaneously, the system pushes the warning event and handling suggestions to the mobile terminals of safety officers or managers in real time, guiding them to intervene on-site or remotely. For environmental risks, in addition to alarms, the system automatically pushes specific emergency response plans to guide personnel. All warnings and interventions are recorded by the system, forming a closed-loop response system, ensuring that every identified risk is tracked and addressed, thereby achieving immediate prevention and effective management of safety risks.

[0028] Step 104: Record the entire process data of risk identification, early warning, intervention and verification, and form a traceable safety management record.

[0029] The system's data archiving and traceability module automatically captures and structures all relevant information from risk identification to closed-loop verification. The recorded data covers the time point of risk identification, specific type and judgment criteria, triggered warning methods and recipients, executed intervention instructions and their execution status, and subsequent verification results of the effectiveness of risk elimination or control measures. The system integrates these time-series related data items and generates a complete electronic safety management event record. This record is bound to specific maintenance tasks, equipment numbers, and operator information, and is persistently stored in a cloud database in an immutable manner, forming a continuous and complete traceability chain. This safety management record supports rapid retrieval and backtracking based on multiple key fields, facilitating post-event review, responsibility identification, and statistical analysis. Simultaneously, this record serves as an important component of the equipment's full lifecycle health record, providing a reliable data foundation for evaluating maintenance operation safety performance and optimizing risk control strategies, ultimately achieving an improvement in safety management from single-point event handling to a fully traceable and analyzable closed-loop management system.

[0030] In some embodiments, the multi-source monitoring data collected at the work site includes: Collect video information and personnel movement information; Environmental sensors are used to collect environmental status information of the work area.

[0031] The system uses a smart safety helmet integrated with a wide-angle camera to collect real-time video information from the work site. This video continuously records the overall scene and personnel activities in the work area. Simultaneously, the posture sensor built into the smart safety helmet continuously monitors changes in the worker's head and body posture, generating personnel action information reflecting their specific movements. Furthermore, the system collects environmental status information through environmental sensors deployed in the smart safety helmet and work area. These sensors include at least an infrared temperature sensor and multiple gas sensors, used to collect ambient temperature data and specific gas concentration data such as methane. Video information, personnel action information, and environmental status information together constitute the multi-source monitoring data. This data is transmitted in real-time to the processing unit via wireless communication, providing a comprehensive data foundation covering visual, behavioral, and environmental dimensions for subsequent analysis, achieving a comprehensive rather than isolated perception of the work site's status.

[0032] In some embodiments, the real-time analysis of multi-source monitoring data to identify security risks includes: Based on image recognition technology, video information is analyzed to determine whether work behavior complies with safety regulations; Based on motion capture technology, people's movement information is analyzed to identify unauthorized or dangerous postures.

[0033] The system uses image recognition technology to analyze the acquired video information in real time. This technology employs computer vision algorithms to analyze each frame of the video stream, detecting and identifying target objects and their states within the images, and automatically comparing them with a pre-set safety regulations knowledge base to determine whether the operator's actions comply with safety procedures. Simultaneously, the system analyzes the acquired personnel movement information using motion capture technology. This technology processes continuous data streams from posture sensors, uses posture estimation algorithms to reconstruct the spatial positions and movement trajectories of the operator's key body points, and matches this sequence of movements with pre-set models of prohibited or dangerous postures to identify potential safety hazards such as imbalance or excessive extension. These two technologies are processed in parallel, diagnosing safety compliance during operations from both visual behavioral representation and deep limb movement dimensions. Together, they constitute the ability to identify operational safety risks, providing accurate judgment for subsequent early warnings.

[0034] In some embodiments, performing the corresponding risk intervention operation includes: Send early warning notifications that match the risk level to operators and remote supervisors; Based on identified high-risk operations, temporarily restrict or disable the control functions of associated devices.

[0035] For on-site workers, early warning notifications are delivered through multiple sensing channels on their personal smart terminals, such as voice broadcasts, screen flashing prompts, or equipment vibrations, ensuring that the warning information is received promptly and clearly. For remote safety officers or managers, early warning notifications are pushed in real time through their mobile applications or monitoring platforms, including risk details, location of occurrence, and suggested handling measures. On the other hand, when the system identifies specific high-risk operations, it automatically implements temporary restrictions or prohibitions on the control functions of related equipment. This function is achieved through software logic or a linkage interface with the equipment control system. For example, the system can remotely lock the operation permissions of specific valves or electrical switches on a portable maintenance instrument, or issue prohibition commands in the management backend, thereby forcibly interrupting potentially serious violations from a technical perspective until the risk is confirmed and eliminated. These intervention operations work together to achieve a multi-layered, three-dimensional rapid risk response and prevention, from on-site warnings to remote collaboration and technical enforcement.

[0036] In some embodiments, recording the entire process data and forming a traceable security management record includes: The data on the operation process, risk events, handling measures, and verification results are stored together. The stored data is used to generate a job safety and quality evaluation report.

[0037] The system automatically associates and stores various status data generated during operations, identified risk events, response measures taken against risks, and subsequent verification information of the response results. This association operation is achieved through unified task identifiers, equipment codes, and timestamps, ensuring that the logical relationships and time sequences between data are completely preserved. Based on the structured data stored in this association, the system's built-in evaluation module automatically performs data statistics, compliance calculations, and comprehensive analysis by calling pre-set evaluation models and algorithms, ultimately generating a structured operation safety quality evaluation report. This report not only includes risk event statistics and closed-loop handling information but may also cover quantitative scoring and qualitative evaluation of the overall safety of the operation process, thus providing an intuitive and reliable basis for safety management decisions and serving as a long-term traceable electronic archive.

[0038] In some embodiments, prior to collecting the multi-source monitoring data, the method further includes: Send work task instructions containing safety requirements to the work terminal; Before the operation begins, the safety procedures for the operators are confirmed through the operation terminal.

[0039] The system issues work task instructions containing specific safety requirements to the work terminals equipped with operators. These instructions are generated by the management platform based on the maintenance plan, clearly defining the target equipment, process flow, required tools, and key safety precautions for the operation. The instructions are simultaneously pushed to the operator's portable maintenance device via wireless network and clearly displayed on their interface. Subsequently, before the work begins, the system uses the work terminal to confirm the safety procedures with the operator. This confirmation process typically includes the terminal automatically playing a voice and text explanation of the specific safety precautions for the operation, and requiring the operator to complete an interactive confirmation or short-answer test based on the stated safety requirements. Operators must complete the learning and confirmation on the terminal. Only after the system verifies that their confirmation operation or test results meet the standards are subsequent work function modules unlocked, allowing them to enter the actual on-site operation and data acquisition phase. This preparatory process ensures that operators are fully aware of and committed to complying with relevant safety procedures before starting work, strengthening safety awareness from the outset and laying the foundation for the safe execution of subsequent processes.

[0040] Corresponding to the above-described method for managing operational safety risks, this invention also proposes an operational safety risk management device. Since the device embodiments of this invention correspond to the method embodiments described above, details not disclosed in the device embodiments can be referred to in the method embodiments, and will not be repeated here.

[0041] Figure 2 This is a schematic diagram of the structure of a work safety risk control device provided in an embodiment of this disclosure, as shown below. Figure 2 As shown, it includes: The acquisition unit 21 is also used to acquire multi-source monitoring data at the work site; The analysis unit 22 is also used to perform real-time analysis on the multi-source monitoring data to identify safety risks during the operation process; Triggering unit 23 is also used to trigger an early warning and perform corresponding risk intervention operations based on the identified security risks; Recording unit 24 is also used to record data throughout the entire process of risk identification, early warning, intervention and verification, and to form a traceable safety management record.

[0042] Furthermore, in one possible implementation of this disclosure, the acquisition unit 21 is further configured to: Collect video information and personnel movement information; Environmental sensors are used to collect environmental status information of the work area.

[0043] Furthermore, in one possible implementation of this disclosure, the analysis unit 22 is further configured to: Based on image recognition technology, video information is analyzed to determine whether work behavior complies with safety regulations; Based on motion capture technology, people's movement information is analyzed to identify unauthorized or dangerous postures.

[0044] Furthermore, in one possible implementation of this disclosure, the triggering unit 23 is further configured to: Send early warning notifications that match the risk level to operators and remote supervisors; Based on identified high-risk operations, temporarily restrict or disable the control functions of associated devices.

[0045] Furthermore, in one possible implementation of this disclosure, the recording unit 23 is further configured to: The data on the operation process, risk events, handling measures, and verification results are stored together. The stored data is used to generate a job safety and quality evaluation report.

[0046] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 3 As shown, the device further includes: The issuing unit 25 is also used to issue work task instructions containing safety requirements to the work terminal; The confirmation unit 26 is also used to confirm the safety regulations of the operators through the operation terminal before the operation begins.

[0047] It should be noted that the foregoing explanation of the method embodiments also applies to the apparatus of the embodiments of this disclosure, and the principle is the same. Therefore, the embodiments of this disclosure are not limited thereto.

[0048] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0049] Figure 4 A schematic block diagram of an example electronic device 400 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0050] like Figure 4As shown, device 400 includes a computing unit 401, which can perform various appropriate actions and processes based on a computer program stored in ROM (Read-Only Memory) 402 or a computer program loaded from storage unit 408 into RAM (Random Access Memory) 403. RAM 403 may also store various programs and data required for the operation of device 400. The computing unit 401, ROM 402, and RAM 403 are interconnected via bus 404. I / O (Input / Output) interface 405 is also connected to bus 404.

[0051] Multiple components in device 400 are connected to I / O interface 405, including: input unit 406, such as keyboard, mouse, etc.; output unit 407, such as various types of monitors, speakers, etc.; storage unit 408, such as disk, optical disk, etc.; and communication unit 409, such as network card, modem, wireless transceiver, etc. Communication unit 409 allows device 400 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0052] The computing unit 401 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, CPUs (Central Processing Units), GPUs (Graphics Processing Units), various special-purpose AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, DSPs (Digital Signal Processors), and any suitable processor, controller, microcontroller, etc. The computing unit 401 performs the various methods and processes described above, such as job safety risk management methods. For example, in some embodiments, the job safety risk management method may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed on device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by the computing unit 401, one or more steps of the methods described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the aforementioned job safety risk management method by any other suitable means (e.g., by means of firmware).

[0053] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System-on-Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0054] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0055] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0056] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0057] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include LANs (Local Area Networks), WANs (Wide Area Networks), the Internet, and blockchain networks.

[0058] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service system that addresses the shortcomings of traditional physical hosts and VPS (Virtual Private Server) services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0059] It's important to note that artificial intelligence (AI) is the study of enabling computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). It encompasses both hardware and software technologies. AI hardware technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily include computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graph technologies.

[0060] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0061] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for managing operational safety risks, characterized in that, include: Collect multi-source monitoring data from the work site; The multi-source monitoring data is analyzed in real time to identify safety risks during the operation. Based on the identified security risks, trigger warnings and execute corresponding risk intervention operations; Record data throughout the entire process of risk identification, early warning, intervention, and verification, and create a traceable safety management record.

2. The method according to claim 1, characterized in that, The multi-source monitoring data collected at the work site includes: Collect video information and personnel movement information; Environmental sensors are used to collect environmental status information of the work area.

3. The method according to claim 1, characterized in that, The real-time analysis of multi-source monitoring data to identify security risks includes: Based on image recognition technology, video information is analyzed to determine whether work behavior complies with safety regulations; Based on motion capture technology, people's movement information is analyzed to identify unauthorized or dangerous postures.

4. The method according to claim 1, characterized in that, The execution of the corresponding risk intervention operations includes: Send early warning notifications that match the risk level to operators and remote supervisors; Based on identified high-risk operations, temporarily restrict or disable the control functions of associated devices.

5. The method according to claim 1, characterized in that, The process of recording data throughout the entire process and forming a traceable security management record includes: The data on the operation process, risk events, handling measures, and verification results are stored together. The stored data is used to generate a job safety and quality evaluation report.

6. The method according to claim 1, characterized in that, Prior to collecting the multi-source monitoring data, the method further includes: Send work task instructions containing safety requirements to the work terminal; Before the operation begins, the safety procedures for the operators are confirmed through the operation terminal.

7. A work safety risk control device, characterized in that, include: The data acquisition unit is also used to collect multi-source monitoring data from the work site; The analysis unit is also used to perform real-time analysis of the multi-source monitoring data to identify safety risks during the operation process; The triggering unit is also used to trigger an early warning and perform corresponding risk intervention operations based on the identified security risks; The recording unit is also used to record data throughout the entire process of risk identification, early warning, intervention and verification, and to form a traceable safety management record.

8. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-6.

10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method according to any one of claims 1-6.

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