Digital factory production safety intelligent monitoring and early warning system

Abstract

The application provides a kind of digital chemical plant production safety intelligent monitoring and early warning system, belongs to the technical field of safety management, specifically includes: wherein equipment division module determines core equipment and the auxiliary equipment of the core equipment, and the production equipment except the core equipment and the auxiliary equipment of the core equipment is as general equipment;Core equipment risk assessment module is responsible for obtaining the safety risk assessment value of core equipment based on the operation data of core equipment, the predicted operation data after the prediction length in the future;Correction safety risk assessment module is responsible for correcting the safety risk assessment value of core equipment based on the safety risk assessment value of the auxiliary equipment of core equipment to obtain the corrected safety risk assessment value;Safety risk assessment module is responsible for determining the safety risk assessment value of factory based on the safety risk assessment value of general equipment, the safety risk assessment value of the core equipment;So as to ensure the comprehensive monitoring of the safety of factory production.

Description

Technical Field

[0001] This invention belongs to the field of safety management technology, and in particular relates to an intelligent monitoring and early warning system for production safety in digital factories. Background Technology

[0002] To achieve safe monitoring of the production status of a digital factory, the authorized invention patent announcement number CN107369303B, "Factory Early Warning Implementation Method, Device and System," calculates the corresponding predicted input and output variables at multiple time points by inputting predictive control output variables and early warning model variables into an early warning dynamic model. Based on the predicted input and output variables at subsequent time points, early warning reminders are sent to the user terminal. However, the following technical problems exist: 1. The monitoring methods for the impact of the factory's production equipment on normal production operations and the safety risks were not considered. For example, in steelmaking enterprises, the importance of blast furnaces and rotary kilns is significantly higher than that of forging equipment and cutting machine tools. Therefore, if the above factors of production equipment are not taken into account, it is impossible to accurately assess the safety risks of the factory.

[0003] 2. The assessment of the safety operation status of the core production equipment is not considered in conjunction with the safety production status of the auxiliary equipment. For blast furnaces or rotary kilns, the operation status of their auxiliary equipment, such as fans and fuel supply systems, will have a certain impact on the safety production status of the blast furnace. Therefore, if the above factors are not considered, it is impossible to accurately assess the safety risks of the plant.

[0004] To address the aforementioned technical problems, this invention provides a digital factory production safety intelligent monitoring and early warning system. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted: According to one aspect of the present invention, a method for intelligent monitoring and early warning of production safety in a digital factory is provided.

[0006] A method for intelligent monitoring and early warning of production safety in a digital factory, characterized by comprising: S11 determines the evaluation value of the production equipment by the type of the production equipment in the factory, the degree of impact on production operation after failure, and the degree of impact after a safety accident, and determines the core equipment and the auxiliary equipment of the core equipment based on the evaluation value, and regards the production equipment other than the core equipment and the auxiliary equipment of the core equipment as general equipment. S12 determines the predicted duration of the core equipment based on the evaluation value of the core equipment, historical fault data, and historical safety accident data, and obtains the safety risk assessment value of the core equipment based on the operating data of the core equipment and the predicted operating data after the predicted duration. Based on the safety risk assessment value, it is determined whether there is a safety risk. If so, an early warning signal is output; otherwise, proceed to step S13. S13 determines the safety risk assessment value of the auxiliary equipment based on the operating data of the auxiliary equipment of the core equipment, and corrects the safety risk assessment value of the core equipment based on the safety risk assessment value of the auxiliary equipment to obtain a corrected safety risk assessment value. Based on the corrected safety risk assessment value, it is determined whether there is a safety risk. If so, an early warning signal is output; otherwise, proceed to step S14. S14 uses the operating data of the general equipment to determine the safety risk assessment value of the general equipment, and determines the safety risk assessment value of the factory based on the safety risk assessment value of the general equipment and the safety risk assessment value of the core equipment, and determines whether to output a warning signal based on the safety risk assessment value of the factory.

[0007] A further technical solution is that the type of production equipment is classified according to its role in the factory, specifically into specific types of production equipment and other production equipment.

[0008] A further technical solution is that the impact of the production equipment failure on production operation includes shutdown, reduction, and no impact; the impact of the production equipment safety accident is determined based on the scope of the impact of the production equipment after the safety accident, whether there is a risk of personal injury, whether there is a risk of explosion or fire, and whether there is a risk of leakage of toxic and harmful gases. Specifically, the values ​​of the impact of the production equipment failure on production operation and the impact of the production equipment safety accident are both between 0 and 1.

[0009] A further technical solution is that when the evaluation value of the production equipment is greater than a preset threshold, the production equipment is determined to be core equipment.

[0010] A further technical solution is that, before determining the predicted duration of the core equipment based on its historical safety accident assessment value, historical fault assessment value, and assessment value, it is also necessary to determine the historical safety risk assessment value of the core equipment based on its historical safety accident assessment value and historical fault assessment value, and to determine whether to use a preset duration as the predicted duration of the core equipment based on its historical safety risk assessment value.

[0011] A further technical solution is that the predicted operating data after the predicted time period is obtained by predicting the operating data of the core device.

[0012] A further technical solution is that the safety risk assessment value of the factory is constructed using a mathematical model based on the analytic hierarchy process (AHP) by taking the safety risk assessment values ​​of the general equipment and the core equipment.

[0013] On the other hand, embodiments of this application provide a digital factory production safety intelligent monitoring and early warning system, employing the aforementioned digital factory production safety intelligent monitoring and early warning method, specifically including: Equipment segmentation module; core equipment risk assessment module; corrective safety risk assessment module; safety risk assessment module; early warning module; The equipment classification module is responsible for determining the evaluation value of the production equipment based on the type of the production equipment in the factory, the degree of impact on production operation after failure, and the degree of impact after a safety accident. Based on the evaluation value, the core equipment and the auxiliary equipment of the core equipment are determined, and the production equipment other than the core equipment and the auxiliary equipment of the core equipment are regarded as general equipment. The core equipment risk assessment module is responsible for determining the predicted duration of the core equipment based on the assessment value of the core equipment, historical fault data, and historical safety accident data, and obtaining the safety risk assessment value of the core equipment based on the operating data of the core equipment and the predicted operating data after the predicted duration. The modified security risk assessment module is responsible for determining the security risk assessment value of the auxiliary equipment based on the operating data of the auxiliary equipment of the core equipment, and modifying the security risk assessment value of the core equipment based on the security risk assessment value of the auxiliary equipment to obtain the modified security risk assessment value. The safety risk assessment module is responsible for determining the safety risk assessment value of the general equipment using the operating data of the general equipment, and determining the safety risk assessment value of the factory based on the safety risk assessment value of the general equipment and the safety risk assessment value of the core equipment. The early warning module is responsible for outputting early warning signals.

[0014] On the other hand, this application provides a computer system, including: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes the above-described intelligent monitoring and early warning method for production safety in a digital factory.

[0015] The beneficial effects of this invention are as follows: By identifying core equipment based on the type of production equipment in the factory, the degree of impact of failure on production operations, and the degree of impact of safety accidents, the identification of core equipment is achieved from multiple perspectives. This not only takes into account safety accidents but also the impact of failures on production operations, thus laying the foundation for differentiated safety monitoring and assessment.

[0016] By determining the predicted duration of the core equipment based on its evaluation value, historical fault data, and historical safety incident data, differential processing of the predicted operating data of the core equipment is achieved. In actual operation, the predicted duration for equipment with a large number of historical faults, historical safety incidents, and high evaluation values ​​can be further reduced, ensuring the real-time monitoring and security of important core equipment. Furthermore, based on the operating data of the core equipment and the predicted operating data after the predicted duration, the safety risk assessment value of the core equipment is obtained. This achieves the assessment of safety risks from both real-time and predicted operating data perspectives, ensuring the comprehensiveness and accuracy of the assessment.

[0017] The safety risk assessment value of the auxiliary equipment is determined by using the operating data of the auxiliary equipment of the core equipment, and the safety risk assessment value of the core equipment is corrected based on the safety risk assessment value of the auxiliary equipment to obtain the corrected safety risk assessment value. This ensures that the safety risk assessment of the core equipment not only considers the core equipment alone, but also the auxiliary equipment of the core equipment, thus guaranteeing the comprehensiveness and accuracy of the assessment.

[0018] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0019] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0020] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0021] Figure 1 This is a flowchart of a digital factory production safety intelligent monitoring and early warning method according to Embodiment 1; Figure 2 This is a framework diagram of a digital factory production safety intelligent monitoring and early warning system according to Embodiment 3. Detailed Implementation

[0022] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore their detailed description will be omitted.

[0023] The terms “a,” “one,” “the,” and “the” are used to indicate the existence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended meaning of inclusion and that other elements / components / etc. may exist in addition to the listed elements / components / etc.

[0024] Example 1 To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, a method for intelligent monitoring and early warning of production safety in a digital factory is provided, characterized by comprising: S11 determines the evaluation value of the production equipment by the type of the production equipment in the factory, the degree of impact on production operation after failure, and the degree of impact after a safety accident, and determines the core equipment and the auxiliary equipment of the core equipment based on the evaluation value, and regards the production equipment other than the core equipment and the auxiliary equipment of the core equipment as general equipment. It should be noted that the types of production equipment are classified according to their functions in the factory. Specifically, the types of production equipment are classified into specific types of production equipment and other production equipment.

[0025] Specifically, the impact of the production equipment failure on production operations includes production stoppage, reduction, and no impact; the impact of a safety accident on the production equipment is determined based on the scope of the impact of the safety accident, whether there is a risk of personal injury, whether there is a risk of explosion or fire, and whether there is a risk of leakage of toxic or harmful gases. Specifically, the values ​​of the impact of the production equipment failure on production operations and the impact of a safety accident on the production equipment are both between 0 and 1.

[0026] For example, the specific steps for constructing the evaluation value of the production equipment are as follows: S21 Obtain the type of the production equipment and determine whether the type of the production equipment is a specific type of production equipment. If yes, the production equipment is used as the core equipment and the preset evaluation value is used as the evaluation value of the production equipment. If no, proceed to step S22. S22 determines whether the equipment is a potential core equipment based on the degree of impact of the production equipment on production operation after the failure. If yes, proceed to step S24; otherwise, proceed to step S23. S23 determines whether the production equipment is a potential core equipment based on the degree of impact of the production equipment after a safety accident. If yes, proceed to step S24; otherwise, determine that the production equipment is not a core equipment. S24 constructs an evaluation value for the production equipment based on the degree of impact of the production equipment on production operation after a failure, the degree of impact after a safety accident, the existence of backup production equipment, the quantity of spare parts, and the difficulty of maintenance.

[0027] Specifically, when the evaluation value of the production equipment is greater than a preset threshold, the production equipment is determined to be core equipment.

[0028] In this embodiment, core equipment is identified based on the type of production equipment in the factory, the degree of impact of failure on production operations, and the degree of impact of safety accidents. This achieves the identification of core equipment from multiple perspectives, taking into account not only safety accidents but also the impact of failures on production operations, thus laying the foundation for differentiated safety monitoring and assessment.

[0029] S12 determines the predicted duration of the core equipment based on the evaluation value of the core equipment, historical fault data, and historical safety accident data, and obtains the safety risk assessment value of the core equipment based on the operating data of the core equipment and the predicted operating data after the predicted duration. Based on the safety risk assessment value, it is determined whether there is a safety risk. If so, an early warning signal is output; otherwise, proceed to step S13. For example, the specific steps for determining the prediction duration of the core equipment are as follows: S31 determines whether the evaluation value of the core device is greater than the second preset threshold. If yes, the prediction duration of the core device is set to the preset duration. If no, proceed to step S32. S32 determines the historical fault count, historical fault type, and historical fault duration of the core equipment based on the historical fault data of the core equipment, and determines the historical fault assessment value of the core equipment based on the historical fault count, historical fault type, and historical fault duration of the core equipment, and determines whether the historical fault assessment value is greater than the preset fault limit. If so, the predicted duration of the core equipment is set to the preset duration; otherwise, proceed to step S33. S33 determines the number of historical safety accidents, the level of historical safety accidents, and the number of historical safety accidents at different levels of the core equipment based on the historical safety accident data of the core equipment. Based on the number of historical safety accidents, the level of historical safety accidents, and the number of historical safety accidents at different levels of the core equipment, the historical safety accident assessment value of the core equipment is determined. It is then determined whether the historical safety accident assessment value is greater than a preset accident limit value. If so, the predicted duration of the core equipment is set to the preset duration. If not, proceed to step S34. S34 predicts the duration of the core equipment based on the historical safety accident assessment value, historical fault assessment value, and assessment value of the core equipment.

[0030] It should be further explained that before determining the predicted duration of the core equipment based on the historical safety accident assessment value, historical fault assessment value, and assessment value of the core equipment, it is also necessary to determine the historical safety risk assessment value of the core equipment based on the historical safety accident assessment value and historical fault assessment value of the core equipment, and determine whether to use the preset duration as the predicted duration of the core equipment based on the historical safety risk assessment value of the core equipment.

[0031] It is understood that the predicted operating data after the predicted time period in the future is obtained by predicting the operating data of the core equipment.

[0032] For example, the specific steps for determining the security risk assessment value of the core equipment are as follows: Based on the operating data of the core equipment, the real-time security risk value and real-time fault risk value of the core equipment are determined, and based on the real-time security risk value and real-time fault risk value of the core equipment, the real-time security risk assessment value of the core equipment is obtained. If it is determined that there is no security risk based on the real-time security risk assessment value, proceed to the next step. Based on the predicted operating data of the core equipment after the predicted time period in the future, the predicted safety risk value and the predicted failure risk value of the core equipment are determined, and based on the predicted safety risk value and the predicted failure risk value of the core equipment, the predicted safety risk assessment value of the core equipment is obtained. If it is determined that there is no safety risk based on the predicted safety risk assessment value, proceed to the next step. The security risk assessment value of the core device is determined based on the real-time security risk assessment value and the predicted security risk assessment value of the core device.

[0033] In this embodiment, the predicted duration of the core equipment is determined based on its evaluation value, historical fault data, and historical safety incident data. This enables differentiated processing of the predicted operating data of the core equipment. In actual operation, the predicted duration for equipment with a large number of historical faults, historical safety incidents, and high evaluation values ​​can be further reduced, ensuring the real-time monitoring and security of important core equipment. Furthermore, based on the operating data of the core equipment and the predicted operating data after the predicted duration, the safety risk assessment value of the core equipment is obtained. This achieves the assessment of safety risks from both real-time and predicted operating data perspectives, ensuring the comprehensiveness and accuracy of the assessment.

[0034] S13 determines the safety risk assessment value of the auxiliary equipment based on the operating data of the auxiliary equipment of the core equipment, and corrects the safety risk assessment value of the core equipment based on the safety risk assessment value of the auxiliary equipment to obtain a corrected safety risk assessment value. Based on the corrected safety risk assessment value, it is determined whether there is a safety risk. If so, an early warning signal is output; otherwise, proceed to step S14. For example, the specific steps for determining the revised safety risk assessment value are as follows: S41 determines the real-time safety risk assessment value of the auxiliary equipment based on the operating data of the auxiliary equipment of the core equipment, and screens suspected abnormal auxiliary equipment based on the real-time safety risk assessment value of the auxiliary equipment. S42 determines the predicted duration of the suspected abnormal auxiliary equipment based on the predicted duration of the core equipment, and determines the predicted safety risk assessment value of the suspected abnormal auxiliary equipment based on the predicted operation data of the suspected abnormal auxiliary equipment after the predicted duration in the future, and determines the safety risk assessment value of the suspected abnormal auxiliary equipment in combination with the real-time safety risk assessment value of the suspected abnormal auxiliary equipment and the number of spares. S43 determines abnormal auxiliary equipment based on the safety risk assessment value of the suspected abnormal auxiliary equipment, and determines the safety risk assessment value of the auxiliary equipment by combining the number of abnormal auxiliary equipment and the safety risk assessment value, and the number of suspected abnormal auxiliary equipment and the safety risk assessment value. It then determines whether the safety risk assessment value of the auxiliary equipment is greater than the first threshold. If so, the corrected safety risk assessment value of the core equipment is set to 1, and it is determined that there is a safety risk. If not, proceed to step S44. S44 constructs a correction term based on the safety risk assessment value of the auxiliary equipment, and corrects the safety risk assessment value of the core equipment based on the correction term to obtain a corrected safety risk assessment value.

[0035] S14 uses the operating data of the general equipment to determine the safety risk assessment value of the general equipment, and determines the safety risk assessment value of the factory based on the safety risk assessment value of the general equipment and the safety risk assessment value of the core equipment, and determines whether to output a warning signal based on the safety risk assessment value of the factory.

[0036] It is understood that the safety risk assessment value of the factory is constructed using a mathematical model based on the analytic hierarchy process, based on the safety risk assessment values ​​of the general equipment and the core equipment.

[0037] In this embodiment, the safety risk assessment value of the auxiliary equipment is determined based on the operating data of the auxiliary equipment of the core equipment, and the safety risk assessment value of the core equipment is corrected based on the safety risk assessment value of the auxiliary equipment to obtain a corrected safety risk assessment value. This ensures that the assessment of the safety risk of the core equipment not only considers the single core equipment, but also the auxiliary equipment of the core equipment, thus guaranteeing the comprehensiveness and accuracy of the assessment.

[0038] Example 2 This application provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes the above-described intelligent monitoring and early warning method for production safety in a digital factory.

[0039] Example 3 On the other hand, such as Figure 2 As shown, this application provides a digital factory production safety intelligent monitoring and early warning system, employing the aforementioned digital factory production safety intelligent monitoring and early warning method, specifically including: Equipment segmentation module; core equipment risk assessment module; corrective safety risk assessment module; safety risk assessment module; early warning module; The equipment classification module is responsible for determining the evaluation value of the production equipment based on the type of the production equipment in the factory, the degree of impact on production operation after failure, and the degree of impact after a safety accident. Based on the evaluation value, the core equipment and the auxiliary equipment of the core equipment are determined, and the production equipment other than the core equipment and the auxiliary equipment of the core equipment are regarded as general equipment. The core equipment risk assessment module is responsible for determining the predicted duration of the core equipment based on the assessment value of the core equipment, historical fault data, and historical safety accident data, and obtaining the safety risk assessment value of the core equipment based on the operating data of the core equipment and the predicted operating data after the predicted duration. The modified security risk assessment module is responsible for determining the security risk assessment value of the auxiliary equipment based on the operating data of the auxiliary equipment of the core equipment, and modifying the security risk assessment value of the core equipment based on the security risk assessment value of the auxiliary equipment to obtain the modified security risk assessment value. The safety risk assessment module is responsible for determining the safety risk assessment value of the general equipment using the operating data of the general equipment, and determining the safety risk assessment value of the factory based on the safety risk assessment value of the general equipment and the safety risk assessment value of the core equipment. The early warning module is responsible for outputting early warning signals.

[0040] In the several embodiments provided in this application, it should be understood that the disclosed systems and methods can also be implemented in other ways. The system embodiments described above are merely illustrative; for example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0041] In addition, the functional modules in the various embodiments of the present invention can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0042] If the functionality is implemented as a software module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0043] Based on the above-described preferred embodiments of the present invention, and through the foregoing description, those skilled in the art can make various changes and modifications without departing from the inventive concept. The technical scope of this invention is not limited to the contents of the specification, but must be determined according to the scope of the claims.

Claims

1. A method for intelligent monitoring and early warning of production safety in a digital factory, characterized in that, Specifically, it includes: The evaluation value of the production equipment is determined by the type of production equipment in the factory, the degree of impact on production operation after failure, and the degree of impact after a safety accident. Based on the evaluation value, the core equipment and the auxiliary equipment of the core equipment are determined, and the production equipment other than the core equipment and the auxiliary equipment of the core equipment are regarded as general equipment. Based on the evaluation value of the core equipment, historical fault data, and historical safety accident data, the predicted duration of the core equipment is determined. Based on the operating data of the core equipment and the predicted operating data after the predicted duration, the safety risk assessment value of the core equipment is obtained. Based on the safety risk assessment value, it is determined whether there is a safety risk. If so, an early warning signal is output. If not, proceed to the next step. Based on the operating data of the auxiliary equipment of the core equipment, the safety risk assessment value of the auxiliary equipment is determined, and the safety risk assessment value of the core equipment is corrected based on the safety risk assessment value of the auxiliary equipment to obtain a corrected safety risk assessment value. Based on the corrected safety risk assessment value, it is determined whether there is a safety risk. If so, an early warning signal is output; otherwise, proceed to the next step. The safety risk assessment value of the general equipment is determined by using the operating data of the general equipment, and the safety risk assessment value of the factory is determined based on the safety risk assessment value of the general equipment and the safety risk assessment value of the core equipment. The safety risk assessment value of the factory is then used to determine whether to output a warning signal. The specific steps for determining the prediction duration of the core equipment are as follows: Determine whether the evaluation value of the core device is greater than the second preset threshold. If yes, set the predicted duration of the core device to the preset duration. If no, proceed to the next step. Based on the historical fault data of the core equipment, determine the historical fault count, historical fault type, and historical fault duration of the core equipment. Based on the historical fault count, historical fault type, and historical fault duration of the core equipment, determine the historical fault assessment value of the core equipment and determine whether the historical fault assessment value is greater than the preset fault limit. If so, set the predicted duration of the core equipment to the preset duration. If not, proceed to the next step. Based on the historical safety accident data of the core equipment, determine the number of historical safety accidents, the level of historical safety accidents, and the number of historical safety accidents at different levels. Based on the number of historical safety accidents, the level of historical safety accidents, and the number of historical safety accidents at different levels, determine the historical safety accident assessment value of the core equipment. Then, determine whether the historical safety accident assessment value is greater than the preset accident limit value. If it is, set the predicted duration of the core equipment to the preset duration. If not, proceed to the next step. The predicted duration of the core equipment is based on its historical safety accident assessment value, historical fault assessment value, and assessment value. Before determining the predicted duration of the core equipment based on its historical safety accident assessment value, historical fault assessment value, and assessment value, it is also necessary to determine the historical safety risk assessment value of the core equipment based on its historical safety accident assessment value and historical fault assessment value, and to determine whether to use a preset duration as the predicted duration of the core equipment based on its historical safety risk assessment value.

2. The intelligent monitoring and early warning method for production safety in a digital factory as described in claim 1, characterized in that, The types of production equipment are classified according to their functions in the factory. Specifically, the types of production equipment are classified into specific types of production equipment and other production equipment.

3. The intelligent monitoring and early warning method for production safety in a digital factory as described in claim 2, characterized in that, The impact of production equipment failure on production operations includes shutdown, reduction, and no impact. The impact of a safety accident involving the production equipment is determined based on the scope of the accident, the risk of personal injury, the risk of explosion or fire, and the risk of leakage of toxic or harmful gases. Specifically, the values ​​for the impact of production equipment failure on production operations and the impact of a safety accident involving the production equipment are both between 0 and 1.

4. The intelligent monitoring and early warning method for production safety in a digital factory as described in claim 3, characterized in that, The specific steps for constructing the evaluation value of the production equipment are as follows: S21 Obtain the type of the production equipment and determine whether the type of the production equipment is a specific type of production equipment. If yes, the production equipment is used as the core equipment and the preset evaluation value is used as the evaluation value of the production equipment. If no, proceed to step S22. S22 determines whether the equipment is a potential core equipment based on the degree of impact of the production equipment on production operation after the failure. If yes, proceed to step S24; otherwise, proceed to step S23. S23 determines whether the production equipment is a potential core equipment based on the degree of impact of the production equipment after a safety accident. If yes, proceed to step S24; otherwise, determine that the production equipment is not a core equipment. S24 constructs an evaluation value for the production equipment based on the degree of impact of the production equipment on production operation after a failure, the degree of impact after a safety accident, the existence of backup production equipment, the quantity of spare parts, and the difficulty of maintenance.

5. The intelligent monitoring and early warning method for production safety in a digital factory as described in claim 4, characterized in that, When the evaluation value of the production equipment is greater than a preset threshold, the production equipment is determined to be core equipment.

6. The intelligent monitoring and early warning method for production safety in a digital factory as described in claim 1, characterized in that, The factory's safety risk assessment value is constructed using a mathematical model based on the analytic hierarchy process (AHP) by taking the safety risk assessment values ​​of general equipment and the core equipment.

7. A digital factory production safety intelligent monitoring and early warning system, employing the digital factory production safety intelligent monitoring and early warning method according to any one of claims 1-6, specifically comprising: Equipment is divided into modules; Core equipment risk assessment module; Revise the security risk assessment module; Security risk assessment module; Early warning module; The equipment classification module is responsible for determining the evaluation value of the production equipment based on the type of the production equipment in the factory, the degree of impact on production operation after failure, and the degree of impact after a safety accident. Based on the evaluation value, the core equipment and the auxiliary equipment of the core equipment are determined, and the production equipment other than the core equipment and the auxiliary equipment of the core equipment are regarded as general equipment. The core equipment risk assessment module is responsible for determining the predicted duration of the core equipment based on the assessment value of the core equipment, historical fault data, and historical safety accident data, and obtaining the safety risk assessment value of the core equipment based on the operating data of the core equipment and the predicted operating data after the predicted duration. The modified security risk assessment module is responsible for determining the security risk assessment value of the auxiliary equipment based on the operating data of the auxiliary equipment of the core equipment, and modifying the security risk assessment value of the core equipment based on the security risk assessment value of the auxiliary equipment to obtain the modified security risk assessment value. The safety risk assessment module is responsible for determining the safety risk assessment value of the general equipment using the operating data of the general equipment, and determining the safety risk assessment value of the factory based on the safety risk assessment value of the general equipment and the safety risk assessment value of the core equipment. The early warning module is responsible for outputting early warning signals.

8. A computer system, comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes a digital factory production safety intelligent monitoring and early warning method according to any one of claims 1-6.

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