Safety production inspection management platform in industrial element universe

Abstract

The invention provides a safety production inspection management platform in an industrial element universe, and belongs to the technical field of inspection management, and the platform specifically comprises an object determination module which is responsible for determining an inspection object which gives an alarm accidentally in inspection objects, a strategy optimization module which is responsible for determining whether the optimization processing of a simulation strategy of an element universe model needs to be carried out, and a control module which is responsible for controlling the optimization processing. The pause processing module is responsible for determining a pause processing scheme of the simulation model of the element universe model when an accidental alarm signal occurs in the inspection area, and the inspection processing module is responsible for determining an inspection object to be subjected to inspection processing in the pause processing process, so that the reliability degree of inspection processing of an accidental fault is improved.

Description

Technical Field

[0001] This invention belongs to the field of inspection management technology, and in particular relates to a safety production inspection management platform in an industrial metaverse. Background Technology

[0002] The Industrial Metaverse is a new industrial ecosystem that deeply integrates next-generation information technology with the industrial system. It achieves full-element digital reconstruction and collaborative optimization through virtual-real interaction. Specifically, through a complex system based on virtual-real mapping, and guided by next-generation artificial intelligence technology, it realizes the virtual-real mapping / interaction / fusion of "people, virtual space and real space" in the industrial field, thereby enabling remote inspection and improving the efficiency of inspection and processing.

[0003] When using the metaverse system for inspection processing, existing technical solutions all neglect the occasional alarm signals of the inspected object. If the metaverse system cannot be paused for targeted processing when occasional alarm signals with short alarm times and long intervals occur, the reliability of the inspection processing cannot be guaranteed.

[0004] To address the aforementioned technical issues, this application provides a safety production inspection management platform within an industrial metaverse. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted: Specifically, this application provides a safety production inspection management platform in an industrial metaverse, which includes: The object determination module is responsible for determining the inspection objects in the metaverse scene. Based on the monitoring data of the inspection objects, it determines the duration of the alarm signal of the inspection object. Based on the duration, it determines the occasional alarm signal and the inspection objects that occasionally alarm. The strategy optimization module is responsible for determining whether the simulation strategy of the metaverse model needs to be optimized based on the occasional alarm signals of the inspection objects. The pause processing module is responsible for determining the pause processing scheme of the simulation model of the metaverse model when an occasional alarm signal occurs in the inspection area, based on the alarm data of the occasional alarm signals of the inspection objects in all inspection areas. The inspection processing module is responsible for pausing the simulation model of the metaverse model during the inspection process using the pause processing scheme. Based on the pause processing data of the simulation model during the inspection process and the inspection data of the inspection area, it determines the inspection objects to be inspected during the pause processing.

[0006] The beneficial effects of this invention are as follows: Based on the alarm data of occasional alarm signals from inspection objects in all inspection areas, a pause processing scheme for the simulation model of the metaverse model is determined when an occasional alarm signal occurs in the inspection area. This avoids the technical problem of poor reliability of inspection processing caused by the lack of effective pause processing when inspection objects issue occasional alarm signals. It achieves effective identification of missed fault signals and improves the reliability of inspection processing.

[0007] Based on the pause processing data of the simulation model during the inspection process and the inspection data of the inspection area, the inspection objects to be inspected during the pause processing are determined. This ensures that the actual operating status of all inspection objects in the inspection area that issue alarm signals can be evaluated and processed when there are many pause processing times. At the same time, it avoids the problem of repeated inspections caused by inspecting the inspection objects in the inspection area that issue alarm signals during all pause processing times, which would lead to a large number of inspection objects that issue occasional alarm signals later.

[0008] Furthermore, the inspection targets are various production equipment in the factory. In one possible embodiment, in a coal mine, the inspection targets include ventilation fans, gas sensors, water exploration drilling rigs, explosion-proof electrical equipment, support machinery, transportation and hoisting devices, and safety monitoring systems.

[0009] Furthermore, the occasional alarm signal is an alarm signal whose duration is within a preset duration range. In one possible embodiment, an alarm signal with a duration of less than 10 seconds and an average interval period of more than 2 hours is regarded as an occasional alarm signal.

[0010] Furthermore, the method for determining the inspection object of the intermittent alarm is as follows: Based on the intermittent alarm signals, determine the alarm data of the intermittent alarm signals of the inspected object; Based on the alarm data, determine whether the inspection object is an inspection object that triggers intermittent alarms.

[0011] Furthermore, the simulation model of the metaverse model is paused, specifically including: During the inspection process, the system acquires in real time the occasional alarm signals emitted by the inspection objects in different inspection areas. When an inspection area that meets the conditions for pausing is determined based on the pausing processing scheme, the simulation model of the metaverse model is paused using the occasional alarm signals emitted by the inspection object.

[0012] 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.

[0013] 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

[0014] 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.

[0015] Figure 1 This is a framework diagram of a safety production inspection and management platform in an industrial metaverse; Figure 2 This is a flowchart illustrating the method for identifying inspection targets that trigger intermittent alarms. Figure 3 This is a flowchart illustrating the method for determining the pause handling scheme of the simulation model of the metaverse model when an occasional alarm signal occurs in the inspection area. Figure 4 It is a method for determining the inspection targets that are to be inspected during the suspension process. Detailed Implementation

[0016] 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.

[0017] 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.

[0018] Example 1 To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, a safety production inspection management platform in an industrial metaverse is provided, specifically including: The object determination module is responsible for determining the inspection objects in the metaverse scene. Based on the monitoring data of the inspection objects, it determines the duration of the alarm signal of the inspection object. Based on the duration, it determines the occasional alarm signal and the inspection objects that occasionally alarm. Furthermore, the inspection targets are various production equipment in the factory. In one possible embodiment, in a coal mine, the inspection targets include ventilation fans, gas sensors, water exploration drilling rigs, explosion-proof electrical equipment, support machinery, transportation and hoisting devices, and safety monitoring systems.

[0019] Furthermore, the occasional alarm signal is an alarm signal whose duration is within a preset duration range. In one possible embodiment, an alarm signal with a duration of less than 10 seconds and an average interval period of more than 2 hours is regarded as an occasional alarm signal.

[0020] In one possible embodiment, the average interval period is the average duration between the alarm signal and the last alarm signal.

[0021] Furthermore, such as Figure 2 As shown, the method for determining the inspection object that triggers the intermittent alarm is as follows: Based on the intermittent alarm signals, determine the alarm data of the intermittent alarm signals of the inspected object; Based on the alarm data, determine whether the inspection object is an inspection object that triggers intermittent alarms.

[0022] It is understandable that when the occasional alarm signals of the inspected object occur frequently, the inspected object is determined to be an inspection object with occasional alarms.

[0023] In one possible embodiment, if the number of occasional alarm signals of the inspected object in the most recent three days is more than 2, then the inspected object is determined to be an inspection object with occasional alarms.

[0024] Optionally, the method for determining the inspection object of the intermittent alarm is as follows: Based on the intermittent alarm signals, determine the alarm data of the intermittent alarm signals of the inspected object; Based on the alarm data, determine the dates on which intermittent alarm signals occurred; By using the dates on which intermittent alarm signals occur, it can be determined whether the inspected object is an inspected object with intermittent alarms.

[0025] It is understandable that when there are frequent dates with occasional alarm signals, the inspection object is determined to be an inspection object with occasional alarms. In one possible embodiment, if there are no less than two dates with occasional alarm signals in the inspection object within the last three days, the inspection object is determined to be an inspection object with occasional alarms.

[0026] The strategy optimization module is responsible for determining whether the simulation strategy of the metaverse model needs to be optimized based on the occasional alarm signals of the inspection objects. Furthermore, it was determined that the simulation strategy for the metaverse model needed to be optimized, specifically including: Based on the occasional alarm signals of the inspection objects with occasional alarms, determine the overlap of alarm time periods of the occasional alarm signals of different inspection objects with occasional alarms. Using the aforementioned overlap, determine the time periods of occasional alarm signals for all inspected objects that exhibit occasional alarms; Based on the time periods of the occasional alarm signals of all inspected objects that have occasional alarms, determine whether it is necessary to optimize the simulation strategy of the metaverse model.

[0027] It should be noted that if the distribution of the time periods of the occasional alarm signals of all the inspection objects with occasional alarms in different inspection objects with occasional alarms meets the requirements, then it is determined that there is no need to optimize the simulation strategy of the metaverse model.

[0028] Understandably, if the occasional alarm signals of most of the inspected objects with occasional alarms occur within the same time period as the occasional alarm signals of all inspected objects with occasional alarms, then the degree of overlap when different inspected objects with occasional alarms send out occasional alarm signals is high. Therefore, in this case, there is no need to optimize the simulation strategy of the metaverse model. It is only necessary to pause the simulation of the metaverse model when all inspected objects with occasional alarms send out occasional alarm signals to achieve the inspection processing of the inspected objects.

[0029] In one possible embodiment, if the occasional alarm signals of more than three-quarters of the inspection objects with occasional alarms all occur during the time period when all the inspection objects with occasional alarms simultaneously issue occasional alarm signals, then it is determined that the distribution of the time periods of the occasional alarm signals of all the inspection objects with occasional alarms in different inspection objects with occasional alarms meets the requirements.

[0030] Optionally, it may be necessary to optimize the simulation strategy of the metaverse model, specifically including: Based on the occasional alarm signals of the inspected objects, determine the inspection areas of the inspected objects with occasional alarms; By utilizing the inspection areas of inspection objects that exhibit occasional alarms, it can be determined whether the simulation strategy of the metaverse model needs to be optimized.

[0031] It should be noted that when there are a large number of inspection areas for inspection objects that occasionally trigger alarms, it is necessary to optimize the simulation strategy of the metaverse model.

[0032] In one possible embodiment, when the number of inspection areas of the inspection object with occasional alarms is not less than 3, it is determined that the simulation strategy of the metaverse model needs to be optimized.

[0033] The pause processing module is responsible for determining the pause processing scheme of the simulation model of the metaverse model when an occasional alarm signal occurs in the inspection area, based on the alarm data of the occasional alarm signals of the inspection objects in all inspection areas. Specifically, such as Figure 3 As shown, the method for determining the pause handling scheme of the simulation model of the metaverse model when an intermittent alarm signal occurs in the inspection area is as follows: Based on the alarm data of the occasional alarm signals of the inspection objects in all inspection areas, determine the average interval period of the occasional alarm signals of the inspection objects in all inspection areas. Based on the average interval period, the inspection objects that occasionally trigger alarms are divided into occasional inspection objects and other inspection objects. Based on the composition data of occasional inspection objects and other inspection objects in all inspection areas, a pause processing scheme for the simulation model of the metaverse model is determined when an occasional alarm signal occurs in the inspection area.

[0034] It should be noted that the occasional inspection object is the inspection object with an average interval period greater than a preset period threshold. In one possible embodiment, it is the inspection object with an interval period of more than 1 day. Inspection objects that do not belong to the occasional inspection objects are considered as other inspection objects.

[0035] Specifically, when the number of occasional inspection objects in all inspection areas meets the requirement, that is, when the number of occasional inspection objects is less than 10, then when the proportion of inspection areas where occasional inspection objects have occasional alarm signals or inspection objects that have occasional alarm signals in the inspection areas meets the requirement, it is determined that the simulation model of the metaverse model needs to be paused.

[0036] In one possible embodiment, if the proportion of inspection objects with occasional alarm signals in the inspection area is greater than one-quarter of the inspection area, then it is determined that the simulation model of the metaverse model needs to be paused.

[0037] Furthermore, it is understood that when the number of occasional inspection objects in all inspection areas does not meet the requirements, specifically if occasional inspection objects exist in all inspection areas, then when the proportion of inspection areas where occasional inspection objects generate occasional alarm signals, or inspection objects generating occasional alarm signals that are not occasional inspection objects in the inspection area, exceeds a preset proportion threshold, it is determined that the simulation model of the metaverse model needs to be paused. The preset proportion threshold is determined based on the number of occasional inspection objects in the inspection areas. The larger the number of occasional inspection objects, the larger the preset proportion threshold. In one possible embodiment, the preset proportion threshold is determined based on the proportion of occasional inspection objects generating occasional alarms in the inspection areas.

[0038] If there is an inspection area without occasional inspection objects, and the proportion of inspection areas where occasional inspection objects generate occasional alarm signals or inspection objects that generate occasional alarm signals but are not occasional inspection objects in the inspection area exceeds a preset threshold, then it is determined that the simulation model of the metaverse model needs to be paused.

[0039] The preset threshold for the proportion of inspection areas with occasional inspection objects is determined based on the number of occasional inspection objects in the inspection area. Similarly, the preset threshold for inspection areas without occasional inspection objects is determined based on the number of inspection areas with occasional inspection objects. The more inspection areas with occasional inspection objects, the smaller the preset threshold becomes. This avoids the technical problem of poor reliability in handling occasional alarms in inspection areas without occasional inspection objects due to pause processing only in those areas. In one possible embodiment, the threshold is determined by multiplying the minimum value of the preset threshold for inspection areas with occasional inspection objects, the preset value, and the difference between the proportion of inspection areas with occasional inspection objects in all inspection areas. The preset value is 1.

[0040] The inspection processing module is responsible for pausing the simulation model of the metaverse model during the inspection process using the pause processing scheme. Based on the pause processing data of the simulation model during the inspection process and the inspection data of the inspection area, it determines the inspection objects to be inspected during the pause processing.

[0041] Furthermore, the simulation model of the metaverse model is paused, specifically including: During the inspection process, the system acquires in real time the occasional alarm signals emitted by the inspection objects in different inspection areas. When an inspection area that meets the conditions for pausing is determined based on the pausing processing scheme, the simulation model of the metaverse model is paused using the occasional alarm signals emitted by the inspection object.

[0042] It should be noted that the pause processing conditions are determined based on the conditions for pausing the simulation model of the metaverse model in the inspection area of ​​the pause processing scheme. In one possible embodiment, the simulation model of the metaverse model is paused, that is, the metaverse model is maintained at the moment when the occasional alarm signal corresponding to the inspection area that meets the pause processing conditions is triggered, and no further simulation update processing is performed.

[0043] In one possible embodiment, if at a certain moment, an occasional alarm signal occurs in an inspection area, or the proportion of inspection objects that generate occasional alarm signals but are not considered occasional inspection objects in the inspection area, or the proportion of inspection objects that generate occasional alarm signals, reaches the condition for pausing the simulation model of the metaverse model, then the simulation model of the metaverse model will be maintained at the monitoring data at this moment, thereby ensuring the reliability of the inspection processing of occasional alarm signals.

[0044] Specifically, such as Figure 4 As shown, the method for determining the inspection objects to be inspected during the pause process is as follows: Based on the pause processing data of the simulation model during the inspection process, determine the number of pause processing times of the simulation model during the inspection process prior to the pause processing process. Based on the inspection data of different inspection areas during the inspection process, determine the areas that have been inspected and processed during the inspection process, and designate them as the inspection completion areas. By using the number of pauses and the overlap data between the completed inspection area and the inspection area of ​​the inspection object with occasional alarms, the inspection object that is to be inspected during the pause process is determined.

[0045] Specifically, when the number of pauses in the simulation model is small, for example, less than a preset threshold, then only the inspection areas that meet the conditions for pausing the simulation model of the metaverse model need to be inspected during the pause process. The inspection objects in the inspection areas that meet the conditions for pausing the simulation model of the metaverse model, as well as other inspection objects that issue alarm signals, are the inspection objects in the pause process. Specifically, the conditions for pausing are determined according to the pause process scheme of the simulation model of the metaverse model when occasional alarm signals occur in different inspection areas. The other inspection objects that issue alarm signals are the inspection objects that issue alarm signals at the pause time that leads to the pause process.

[0046] When the simulation model pauses less than three times, only the areas meeting the conditions for pausing the metaverse model simulation need to be inspected during the pause process. It should be noted that after the inspection of the inspected objects during the pause process is completed, the simulation continues using real-time monitoring data or monitoring data from moments between the pause and the current time that meet the conditions for pausing the metaverse model simulation. This is unless there are no conditions for pausing the metaverse model simulation within the time interval between the pause and the current time. At any given time, real-time monitoring data is used to simulate the metaverse model. When a time is found that meets the conditions for pausing the metaverse model simulation, the monitoring data of the earliest time within the time interval between the time of pausing and the current time that meets the conditions for pausing the metaverse model simulation is used for the metaverse model simulation. The time of pausing is the time that causes the pausing process. If no time is found that meets the conditions for pausing the metaverse model simulation, the metaverse model simulation is dynamically updated according to a preset cycle, which may be once every minute in one possible embodiment.

[0047] Once the inspection of the objects being inspected during the pause process is completed, the pause process ends. When the simulation process resumes, the inspection of areas with no occasional alarms is performed first, in descending order of the number of objects. Once the inspection of areas with no occasional alarms is completed, the inspection of areas with occasional alarms is performed, in ascending order of the number of objects with occasional alarms, until the conditions for pausing the simulation of the metaverse model are met or all inspection areas are inspected.

[0048] Furthermore, it should be noted that if the number of pauses in the simulation model is not small, i.e., when the requirement is met (between 3 and 8 times including endpoints), the overall inspection processing time and delay increase due to the large number of pauses. Therefore, if the overlap between the completed inspection area and the inspection area of ​​the inspection object with occasional alarms meets the requirement, the number of inspection areas of the inspection object with occasional alarms that have not been inspected is small. That is, when the proportion of the number of inspection areas of the inspection object with occasional alarms that have not been inspected to the total number of inspection areas of the inspection object with occasional alarms is less than 0.3, the inspection objects of the inspection areas that are about to meet the conditions for pausing the simulation model of the metaverse model, other inspection objects that issue alarm signals, and the inspection objects of the inspection areas of the inspection objects that issue alarm signals and have occasional faults during the pause time are considered as inspection objects in the pause process. Additionally, it is understandable that if the overlap between the completed inspection area and the inspection area containing intermittent alarms does not meet the requirements, then the inspection objects in the pause process are determined based on the number of intermittent fault inspection objects. In one possible embodiment, the inspection objects in the inspection area that meet the conditions for pause processing of the simulation model of the metaverse model, as well as other inspection objects that issue alarm signals during the pause, are considered as inspection objects in the pause process. In other cases, when the number of intermittent fault inspection objects in the inspection area is small and there are no intermittent inspection objects, then when there are inspection objects in the inspection area that issue alarm signals during the pause process, all inspection objects in the inspection area are considered as inspection reconciliations in the inspection process.

[0049] In one possible embodiment, if the number of inspection objects with occasional faults in the inspection area is no more than 2, then it is determined that the number of inspection objects with occasional faults in the inspection area is small.

[0050] Furthermore, if there are a large number of inspection objects with occasional faults in the inspection area, or if there are occasional inspection objects, then only the inspection objects that issue alarm signals in the inspection area during the pause time will be considered as inspection objects in the pause process.

[0051] Furthermore, if the number of pauses exceeds 8, the inspection objects in the inspection area that will meet the conditions for pausing the simulation model of the metaverse model, other inspection objects that issue alarm signals, and inspection objects in the inspection area that issue alarm signals and have occasional faults during the pause are considered as inspection objects in the pause process.

[0052] It should also be noted that during different pause processes, if the inspection object that issues an alarm signal for an intermittent fault in a certain area has already undergone a pause process before, that is, if during the judgment and analysis of the pause process, the inspection object that issues an alarm signal for an intermittent fault in a certain area is the same as the inspection object that issues an alarm signal for an intermittent fault in a previous pause process, then no pause process is required this time.

[0053] Optionally, the method for determining the inspection objects to be inspected during the pause process is as follows: Based on the pause processing data of the simulation model during the inspection process, determine the number of pause processing times of the simulation model during the inspection process prior to the pause processing process. Based on the inspection data of different inspection areas during the inspection process, determine the areas that have been inspected and processed during the inspection process, and designate them as the inspection completion areas. Based on the number of inspection objects with occasional alarms in the inspection area and the number of inspection objects with occasional alarms, determine the threshold for the number of pauses and the overlap threshold for the inspection area. Combine the number of pauses and the overlap data between the inspection completed area and the inspection area with inspection objects that have occasional alarms to determine the inspection objects that will be inspected during the pause process.

[0054] It is understandable that the more inspection objects with occasional inspections or occasional alarms there are, the higher the threshold for the number of pauses in the inspection area and the higher the overlap threshold. In one possible embodiment, when the number of inspection objects with occasional inspections or occasional alarms is more than 3, the threshold for the number of pauses is 8. The overlap threshold is that the number of inspection areas with occasional alarms is 0.7% of the total number of inspection areas with occasional alarms. In other cases, it is 3 and 0.2 respectively.

[0055] Specifically, when the number of pause processing times exceeds the threshold or the overlap threshold, if there is an inspection object that issues an alarm signal during the pause time, all inspection objects in the inspection area will be treated as inspection objects in the pause processing process. Otherwise, if an occasional alarm signal in the inspection area meets the pause condition, all inspection objects in the inspection area will be treated as inspection objects in the pause processing process. Otherwise, only the inspection object that issues an alarm signal needs to be inspected.

[0056] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0057] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0058] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A safety production inspection management platform in an industrial metaverse, characterized in that, Specifically, it includes: The object determination module is responsible for determining the inspection objects in the metaverse scene. Based on the monitoring data of the inspection objects, it determines the duration of the alarm signal of the inspection object. Based on the duration, it determines the occasional alarm signal and the inspection objects that occasionally alarm. The strategy optimization module is responsible for determining whether the simulation strategy of the metaverse model needs to be optimized based on the occasional alarm signals of the inspection objects. The pause processing module is responsible for determining the pause processing scheme of the simulation model of the metaverse model when an occasional alarm signal occurs in the inspection area, based on the alarm data of the occasional alarm signals of the inspection objects in all inspection areas. The inspection processing module is responsible for pausing the simulation model of the metaverse model during the inspection process using the pause processing scheme. Based on the pause processing data of the simulation model during the inspection process and the inspection data of the inspection area, it determines the inspection objects to be inspected during the pause processing.

2. The safety production inspection management platform in the industrial metaverse as described in claim 1, characterized in that, The inspection targets are various production equipment in the factory.

3. The safety production inspection management platform in the industrial metaverse as described in claim 1, characterized in that, The occasional alarm signal is an alarm signal whose duration is within a preset duration range.

4. The safety production inspection management platform in the industrial metaverse as described in claim 1, characterized in that, The method for determining the inspection targets that trigger intermittent alarms is as follows: Based on the intermittent alarm signals, determine the alarm data of the intermittent alarm signals of the inspected object; Based on the alarm data, determine whether the inspection object is an inspection object that triggers intermittent alarms.

5. The safety production inspection management platform in the industrial metaverse as described in claim 1, characterized in that, The simulation strategy for the metaverse model needs to be optimized, specifically including: Based on the occasional alarm signals of the inspection objects with occasional alarms, determine the overlap of alarm time periods of the occasional alarm signals of different inspection objects with occasional alarms. Using the aforementioned overlap, determine the time periods of occasional alarm signals for all inspected objects that exhibit occasional alarms; Based on the time periods of the occasional alarm signals of all inspected objects that have occasional alarms, determine whether it is necessary to optimize the simulation strategy of the metaverse model.

6. The safety production inspection management platform in the industrial metaverse as described in claim 5, characterized in that, If the distribution of the time periods of the occasional alarm signals of all inspection objects with occasional alarms in different inspection objects with occasional alarms meets the requirements, then it is determined that there is no need to optimize the simulation strategy of the metaverse model.

7. The safety production inspection management platform in the industrial metaverse as described in claim 1, characterized in that, The method for determining the pause handling scheme of the simulation model of the metaverse model when sporadic alarm signals occur in the inspection area is as follows: Based on the alarm data of the occasional alarm signals of the inspection objects in all inspection areas, determine the average interval period of the occasional alarm signals of the inspection objects in all inspection areas. Based on the average interval period, the inspection objects that occasionally trigger alarms are divided into occasional inspection objects and other inspection objects. Based on the composition data of occasional inspection objects and other inspection objects in all inspection areas, a pause processing scheme for the simulation model of the metaverse model is determined when an occasional alarm signal occurs in the inspection area.

8. The safety production inspection management platform in the industrial metaverse as described in claim 7, characterized in that, The occasional inspection targets are those whose average interval period is greater than a preset period threshold.

9. The safety production inspection management platform in the industrial metaverse as described in claim 7, characterized in that, When the number of occasional inspection objects in all inspection areas meets the requirements, and when the proportion of inspection areas where occasional inspection objects have occasional alarm signals or inspection objects that have occasional alarm signals in the inspection areas meets the requirements, it is determined that the simulation model of the metaverse model needs to be paused.

10. The safety production inspection management platform in the industrial metaverse as described in claim 1, characterized in that, The method for determining the inspection objects to be inspected during the pause process is as follows: Based on the pause processing data of the simulation model during the inspection process, determine the number of pause processing times of the simulation model during the inspection process prior to the pause processing process. Based on the inspection data of different inspection areas during the inspection process, determine the areas that have been inspected and processed during the inspection process, and designate them as the inspection completion areas. By using the number of pauses and the overlap data between the completed inspection area and the inspection area of ​​the inspection object with occasional alarms, the inspection object that is to be inspected during the pause process is determined.

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