A safety management method and system for large mechanical cross operation

Abstract

The application discloses a kind of safety management methods and systems for large-scale machinery cross operation, it is related to intelligent management technical field, the method includes: by organizing function system set;According to the first safety characteristic parameter obtained by safety characteristic collection to first function system obtains first safety level;Get target equipment safety index;Get target cross operation area;By analyzing the target area image of the target cross operation area that intelligent image acquisition equipment has collected, obtain target cross area safety index;Get comprehensive safety index;If not reach predetermined index threshold, send warning information.The problems that the life and property safety of operating personnel cannot be guaranteed in the actual operation of the existing construction industry are solved.Through intelligent, all-round efficient safety inspection of target large-scale mechanical equipment and its cross operation area, the safety of large-scale machinery cross operation is guaranteed, and the technical effect of reducing accidents is achieved.

Description

Technical Field

[0001] This invention relates to the field of intelligent management technology, and in particular to a safety management method and system for large-scale machinery cross-operations. Background Technology

[0002] With the rapid development of the modern construction industry, large-scale machinery and equipment are being used more and more widely on construction sites. During the operation of these large-scale machines, multiple tasks are often required, such as hoisting, excavation, and loading. These tasks need to be carried out in different locations and at different times, resulting in an increasing number of overlapping operations involving large-scale machinery and equipment. However, due to the large operating range and complex operation of large-scale machinery and equipment, and the various risk factors inherent in overlapping operations, ensuring the safety of such operations has become an urgent problem to be solved.

[0003] However, in actual construction operations, various large-scale mechanical equipment often need to cooperate and work together. Cross-operation increases the risks compared to independent operation. Traditional operation management methods in the current technology cannot detect the risks in cross-operation in a timely manner and issue alarm information, resulting in low safety of cross-operation and posing a problem that is not conducive to protecting the life and property safety of workers. Summary of the Invention

[0004] The purpose of this invention is to provide a safety management method and system for large-scale machinery cross-operations, in order to solve the problem that in the actual operation of the existing construction industry, it is often necessary for multiple large-scale machinery to cooperate and cross-operate. Cross-operations increase the risks much more than independent operations. The traditional operation management methods in the existing technology cannot detect the risks in cross-operations in a timely manner and issue alarm information, resulting in low safety of cross-operations and problems that are not conducive to protecting the life and property safety of workers.

[0005] In view of the above problems, the present invention provides a safety management method and system for large-scale mechanical cross-operations.

[0006] In a first aspect, the present invention provides a safety management method for cross-operations of large machinery. The method is implemented through a safety management system for cross-operations of large machinery, comprising: constructing a functional system set, wherein the functional system set refers to the collection of various functional systems of the target large machinery; obtaining a first safety level based on first safety feature parameters obtained by collecting safety features of a first functional system, wherein the first safety level refers to the safety status level of the first functional system, and the first functional system is any one of the functional system sets; obtaining a target equipment safety index of the target large machinery by weighting the first safety level using the coefficient of variation principle; analyzing the target cross-operations of the target large machinery to obtain a target cross-operation area; obtaining a target cross-area safety index by analyzing the target area image of the target cross-operation area collected by an intelligent image acquisition device; obtaining a comprehensive safety index based on the target equipment safety index and the target cross-area safety index; issuing an alarm message if the target equipment safety index and / or the target cross-area safety index and / or the comprehensive safety index do not reach a predetermined index threshold; and performing emergency management of the operational safety of the target large machinery in the target cross-operation area based on the alarm message.

[0007] Secondly, the present invention also provides a safety management system for cross-operations of large machinery, used to execute a safety management method for cross-operations of large machinery as described in the first aspect, wherein the system includes: a system construction module for constructing a set of functional systems, the set of functional systems referring to the set of functional systems of the target large machinery; a safety analysis module for obtaining a first safety level based on a first safety feature parameter obtained by collecting safety features of a first functional system, the first safety level referring to the level of safety status of the first functional system, the first functional system being any one of the functional systems in the set of functional systems; and a safety index calculation module for weighting the first safety level using the coefficient of variation principle to obtain the target safety index of the target large machinery. The system includes: an equipment safety index; a region determination module for analyzing the target cross-operation of the target large machinery to obtain the target cross-operation region; an image analysis module for analyzing the target region image of the target cross-operation region acquired by an intelligent image acquisition device to obtain the target cross-region safety index; a comprehensive analysis module for obtaining a comprehensive safety index based on the target equipment safety index and the target cross-region safety index; a judgment and alarm module for issuing an alarm message if the target equipment safety index and / or the target cross-region safety index and / or the comprehensive safety index do not reach a predetermined index threshold; and an emergency execution module for performing emergency management of the operational safety of the target large machinery in the target cross-operation region based on the alarm message.

[0008] Thirdly, the present invention also provides an electronic device, comprising:

[0009] At least one processor;

[0010] A memory that is communicatively connected to the at least one processor;

[0011] The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the method described in any one of the first aspects above.

[0012] Fourthly, a computer-readable storage medium storing a computer program that, when executed, implements the steps of the method described in any one of the first aspects above.

[0013] One or more technical solutions provided in this invention have at least the following technical effects or advantages:

[0014] By constructing a functional system set, which refers to the collection of various functional systems of the target large-scale machinery; obtaining a first safety level based on the first safety feature parameters obtained by collecting safety features of the first functional system, where the first safety level refers to the level of safety status of the first functional system, and the first functional system is any one of the functional systems in the functional system set; obtaining the target equipment safety index of the target large-scale machinery by weighting the first safety level using the coefficient of variation principle; analyzing the target cross-operations of the target large-scale machinery to obtain the target cross-operation area; obtaining the target cross-area safety index by analyzing the target area image of the target cross-operation area collected by the intelligent image acquisition device; obtaining a comprehensive safety index based on the target equipment safety index and the target cross-area safety index; issuing an alarm message if the target equipment safety index and / or the target cross-area safety index and / or the comprehensive safety index do not reach a predetermined index threshold; and conducting emergency management of the operational safety of the target large-scale machinery in the target cross-operation area based on the alarm message. By conducting intelligent, comprehensive, and efficient safety inspections of target large-scale machinery and their overlapping work areas, risk factors can be identified and countermeasures can be taken in advance before actual overlapping operations, thereby reducing the risks in actual operations and achieving the technical effect of ensuring the safety of large-scale machinery overlapping operations and reducing the occurrence of accidents.

[0015] The above description is merely an overview of the technical solution of the present invention. To better understand the technical means of the present invention and to facilitate its implementation according to the description, and to make the above and other objects, features, and advantages of the present invention more apparent, specific embodiments of the present invention are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily apparent from the following description. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating a safety management method for cross-operations of large machinery according to the present invention.

[0018] Figure 2 This is a schematic diagram of the process of generating an audible and visual alarm based on the alarm information in a safety management method for cross-operation of large machinery according to the present invention;

[0019] Figure 3 This is a schematic diagram of the structure of a safety management system for large-scale mechanical cross-operations according to the present invention.

[0020] Explanation of reference numerals in the attached figures:

[0021] The system comprises the following modules: Module 11, Security Analysis Module 12, Security Index Calculation Module 13, Area Determination Module 14, Image Analysis Module 15, Comprehensive Analysis Module 16, Judgment and Alarm Module 17, and Emergency Execution Module 18. Detailed Implementation

[0022] This invention provides a safety management method and system for large-scale machinery cross-operations. It addresses the common problem in the construction industry where multiple large pieces of machinery often need to cooperate and work together. Cross-operations increase risks significantly compared to independent operations, and traditional management methods often fail to detect and issue warnings in a timely manner, leading to low safety and compromising the safety of workers and property. By conducting intelligent, comprehensive, and efficient safety inspections of the target large machinery and their cross-operation areas, risk factors can be identified and addressed before actual cross-operations begin, reducing actual risks and ensuring the safety of large-scale machinery cross-operations, thereby minimizing accidents.

[0023] The technical solutions of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. It should be understood that the present invention is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention. It should also be noted that, for ease of description, only the parts related to the present invention are shown in the accompanying drawings, not all of them.

[0024] Example 1

[0025] Please see the appendix Figure 1 This invention provides a safety management method for overlapping operations of large machinery. The method is applied to a safety management system for overlapping operations of large machinery, and specifically includes the following steps:

[0026] Assemble a set of functional systems, which refers to the collection of various functional systems of the target large-scale mechanical equipment;

[0027] Furthermore, the present invention also includes the following steps:

[0028] The functional system suite includes at least mechanical components, electrical systems, hydraulic systems, and safety protection systems.

[0029] A first security level is obtained based on the first security feature parameters obtained by collecting security features of the first functional system. The first security level refers to the level of security status of the first functional system. The first functional system is any one of the functional systems in the set of functional systems.

[0030] The target equipment safety index of the target large mechanical equipment is obtained by weighting the first safety level using the principle of the coefficient of variation.

[0031] The target cross-operation of the large mechanical equipment is analyzed to obtain the target cross-operation area;

[0032] By analyzing the target area image of the target cross-operation area acquired by the intelligent image acquisition device, the safety index of the target cross-operation area is obtained;

[0033] A comprehensive safety index is obtained based on the target equipment safety index and the target intersection area safety index.

[0034] If the target device security index and / or the target intersection area security index and / or the comprehensive security index fail to reach the predetermined index threshold, an alarm message will be issued.

[0035] Emergency management is carried out on the operational safety of the target large machinery and equipment in the target cross-operation area based on the alarm information.

[0036] Specifically, the aforementioned safety management method for cross-operation of large machinery is applied to a safety management system for cross-operation of large machinery. It can reduce the risks in actual operation by conducting intelligent, comprehensive and efficient safety inspections of the target large machinery and its cross-operation areas.

[0037] First, the various equipment components and structural features of the target large-scale machinery are analyzed to construct a functional system set. This functional system set refers to the collection of all functional systems of the target large-scale machinery, which includes at least mechanical components, an electrical system, a hydraulic system, and a safety protection system. Specifically, the mechanical components refer to all mechanical components and structural features constituting the target large-scale machinery. The electrical system refers to all electrical equipment constituting the target large-scale machinery, including but not limited to electric motors, generators, power distribution systems, and control systems. The hydraulic system refers to all hydraulic devices constituting the target large-scale machinery, including but not limited to hydraulic pumps, hydraulic cylinders, and hydraulic valves. The safety protection system refers to the safety-related hardware and software features implemented on the target large-scale machinery for operational safety, such as an emergency stop button.

[0038] Then, safety characteristics and other relevant information are collected sequentially for each functional system in the functional system set. Specifically, any functional system in the set is randomly selected and designated as the first functional system. The first safety characteristic parameter is obtained by collecting safety characteristics from the first functional system. This parameter is then normalized to obtain a dimensionless normalized result. Finally, this normalized result is weighted to calculate the first safety level. The first safety level refers to the safety status of the first functional system. Finally, based on the safety levels of all functional systems in the functional system set, the target equipment safety index of the target large machinery is obtained by weighting the results using the coefficient of variation principle. The coefficient of variation, also known as the standard deviation, is another statistic that measures the degree of variation among observations in data. It is used when comparing the degree of variation of two or more data sets; if the unit of measurement is the same as the mean, the standard deviation can be used directly for comparison.

[0039] Next, the target cross-operation of the target large mechanical equipment is analyzed, and the target cross-operation area of ​​the target large mechanical equipment is determined. Then, the target cross-operation area is captured by intelligent image acquisition equipment, and the target area image of the target cross-operation area is obtained by analyzing the image of the area, and the safety index of the target cross-operation area is obtained.

[0040] Next, a comprehensive safety index is obtained based on the target equipment safety index and the target intersection area safety index. The comprehensive safety index refers to the safety prediction of the target large machinery operating in the target intersection area. Specifically, when one or more of the target equipment safety index, the target intersection area safety index, and the comprehensive safety index fail to reach a predetermined threshold, the system will issue an alarm message, indicating that the current operation poses a high risk and should be suspended and subject to targeted handling before resuming the intersection operation. In other words, emergency management of the operational safety of the target large machinery in the target intersection operation area is conducted based on the alarm message.

[0041] Furthermore, the present invention also includes the following steps:

[0042] Read a predetermined set of security indicators, wherein the predetermined set of security indicators includes at least integrity, stability, adaptability, and control precision;

[0043] The first functional system is subjected to security feature collection based on the predetermined set of security indicators.

[0044] Specifically, the predetermined set of safety indicators is a set pre-analyzed and determined by professional technicians and other relevant personnel. This set includes at least integrity, stability, adaptability, and control accuracy. Integrity refers to the structural and functional integrity of each system component; stability refers to the smoothness of operation of each system component when running independently; adaptability refers to the normal operation of each system component under different environmental conditions; and control accuracy refers to the degree of deviation between actual and ideal control of each system component during historical application. Finally, safety characteristics are collected from the first functional system based on the predetermined set of safety indicators.

[0045] Furthermore, the present invention also includes the following steps:

[0046] The target area image time sequence is obtained by monitoring the intelligent acquisition device, and the target area image time sequence includes multiple area images with time identifiers;

[0047] Extract the first region image from the plurality of region images;

[0048] The first region image is used as the reference image, and the images in the plurality of region images after removing the first region image are used as the images to be registered.

[0049] The image to be registered is registered based on the reference image to obtain the target region image.

[0050] Specifically, the target region image time sequence is obtained by monitoring the target region image time sequence through the intelligent acquisition device. The target region image time sequence includes multiple region images with time identifiers. A first region image is extracted from the multiple region images. The first region image refers to the region image with a first time identifier. The first region image is used as the reference image, and the images remaining after removing the first region image from the multiple region images are used as images to be registered. That is, the first image is used as the reference image, and the other images are used as images to be registered. Registration processing is performed on the images to be registered based on the reference image to obtain the target region image.

[0051] Furthermore, the present invention also includes the following steps:

[0052] Extract the first image to be registered from the images to be registered;

[0053] The first image to be registered is offset based on the reference image to obtain the first offset image;

[0054] The first offset image is rotated based on the reference image to obtain the first rotated image;

[0055] The first rotated image is enhanced based on the reference image to obtain the target region image.

[0056] Specifically, the first image to be registered is extracted from the image to be registered, the first image to be registered is offset according to the reference image to obtain a first offset image, the first offset image is then rotated according to the reference image to obtain a first rotated image, and finally the first rotated image is enhanced according to the reference image to obtain the target region image.

[0057] Furthermore, the present invention also includes the following steps:

[0058] Tonal feature recognition is performed on the target region image to obtain target tonal feature information;

[0059] The target region image is subjected to texture feature recognition to obtain target texture feature information;

[0060] The target tone feature information and the target texture feature information constitute the target region image feature set of the target cross-operation area;

[0061] Determine whether the first image feature of the first image layer in the target region image feature set meets the predetermined layer feature threshold. The first image layer refers to any one of the multiple image layers obtained after dividing the target region image into grids.

[0062] If it does not conform, the first image region is marked as abnormal to obtain a first abnormality identifier, which includes a first abnormality type identifier and a first abnormality degree identifier.

[0063] The target intersection area security index is obtained based on the first anomaly type identifier and the first anomaly degree identifier.

[0064] Specifically, the target region image is subjected to tone feature recognition to obtain target tone feature information. The target region image is subjected to texture feature recognition to obtain target texture feature information. The target tone feature information and the target texture feature information constitute the target region image feature set of the target cross-operation area. It is determined whether the first image feature of the first image layer in the target region image feature set meets a predetermined layer feature threshold. The first image layer refers to any one of multiple image layers obtained after dividing the target region image into a grid. If it does not meet the threshold, the first image layer is marked as abnormal to obtain a first abnormality identifier, which includes a first abnormality type identifier and a first abnormality degree identifier. The safety index of the target cross-operation area is obtained based on the first abnormality type identifier and the first abnormality degree identifier.

[0065] Furthermore, as shown in the appendix Figure 2 As shown, the present invention further includes the following steps:

[0066] Acquire audible and visual alarm devices;

[0067] The alarm information is received through the aforementioned audible and visual alarm device;

[0068] The audible and visual alarm device triggers an audible and visual alarm based on the alarm information.

[0069] Specifically, an audible and visual alarm device is acquired, and the alarm information is received through the audible and visual alarm device. The audible and visual alarm device then triggers an audible and visual alarm based on the alarm information. For example, a high-decibel shrill sound and a high-frequency flashing light are used to trigger the alarm, thereby improving the efficiency of alarm detection by operators.

[0070] In summary, the safety management method for large-scale machinery cross-operations provided by this invention has the following technical effects:

[0071] By constructing a functional system set, which refers to the collection of various functional systems of the target large-scale machinery; obtaining a first safety level based on the first safety feature parameters obtained by collecting safety features of the first functional system, where the first safety level refers to the level of safety status of the first functional system, and the first functional system is any one of the functional systems in the functional system set; obtaining the target equipment safety index of the target large-scale machinery by weighting the first safety level using the coefficient of variation principle; analyzing the target cross-operations of the target large-scale machinery to obtain the target cross-operation area; obtaining the target cross-area safety index by analyzing the target area image of the target cross-operation area collected by the intelligent image acquisition device; obtaining a comprehensive safety index based on the target equipment safety index and the target cross-area safety index; issuing an alarm message if the target equipment safety index and / or the target cross-area safety index and / or the comprehensive safety index do not reach a predetermined index threshold; and conducting emergency management of the operational safety of the target large-scale machinery in the target cross-operation area based on the alarm message. By conducting intelligent, comprehensive, and efficient safety inspections of target large-scale machinery and their overlapping work areas, risk factors can be identified and countermeasures can be taken in advance before actual overlapping operations, thereby reducing the risks in actual operations and achieving the technical effect of ensuring the safety of large-scale machinery overlapping operations and reducing the occurrence of accidents.

[0072] Example 2

[0073] Based on the aforementioned safety management method for cross-operation of large machinery, and using the same inventive concept, this invention also provides a safety management system for cross-operation of large machinery. Please refer to the appendix. Figure 3 The system includes:

[0074] System assembly module 11 is used to assemble a functional system set, which refers to the collection of various functional systems of the target large mechanical equipment;

[0075] The security analysis module 12 is used to obtain a first security level based on the first security feature parameters obtained by collecting security features of the first functional system. The first security level refers to the level of security status of the first functional system, and the first functional system is any one of the functional systems in the set of functional systems.

[0076] Safety index calculation module 13 is used to obtain the target equipment safety index of the target large mechanical equipment by weighting the first safety level using the principle of the coefficient of variation.

[0077] The area determination module 14 is used to analyze the target cross-operation of the target large mechanical equipment to obtain the target cross-operation area;

[0078] Image analysis module 15 is used to obtain the target intersection area safety index by analyzing the target area image of the target intersection operation area acquired by the intelligent image acquisition device;

[0079] The comprehensive analysis module 16 is used to obtain a comprehensive safety index based on the target equipment safety index and the target intersection area safety index;

[0080] The alarm judgment module 17 is used to issue an alarm message if the security index of the target device and / or the security index of the target intersection area and / or the comprehensive security index does not reach a predetermined index threshold.

[0081] Emergency execution module 18 is used to perform emergency management of the operational safety of the target large mechanical equipment in the target cross-operation area based on the alarm information.

[0082] Furthermore, the system component module 11 in the system is also used for:

[0083] The functional system suite includes at least mechanical components, electrical systems, hydraulic systems, and safety protection systems.

[0084] Furthermore, the security analysis module 12 in the system is also used for:

[0085] Read a predetermined set of security indicators, wherein the predetermined set of security indicators includes at least integrity, stability, adaptability, and control precision;

[0086] The first functional system is subjected to security feature collection based on the predetermined set of security indicators.

[0087] Furthermore, the image analysis module 15 in the system is also used for:

[0088] The target area image time sequence is obtained by monitoring the intelligent acquisition device, and the target area image time sequence includes multiple area images with time identifiers;

[0089] Extract the first region image from the plurality of region images;

[0090] The first region image is used as the reference image, and the images in the plurality of region images after removing the first region image are used as the images to be registered.

[0091] The image to be registered is registered based on the reference image to obtain the target region image.

[0092] Furthermore, the image analysis module 15 in the system is also used for:

[0093] Extract the first image to be registered from the images to be registered;

[0094] The first image to be registered is offset based on the reference image to obtain the first offset image;

[0095] The first offset image is rotated based on the reference image to obtain the first rotated image;

[0096] The first rotated image is enhanced based on the reference image to obtain the target region image.

[0097] Furthermore, the image analysis module 15 in the system is also used for:

[0098] Tonal feature recognition is performed on the target region image to obtain target tonal feature information;

[0099] The target region image is subjected to texture feature recognition to obtain target texture feature information;

[0100] The target tone feature information and the target texture feature information constitute the target region image feature set of the target cross-operation area;

[0101] Determine whether the first image feature of the first image layer in the target region image feature set meets the predetermined layer feature threshold. The first image layer refers to any one of the multiple image layers obtained after dividing the target region image into grids.

[0102] If it does not conform, the first image region is marked as abnormal to obtain a first abnormality identifier, which includes a first abnormality type identifier and a first abnormality degree identifier.

[0103] The target intersection area security index is obtained based on the first anomaly type identifier and the first anomaly degree identifier.

[0104] Furthermore, the system also includes an audible and visual alarm module, wherein the audible and visual alarm module is used for:

[0105] Acquire audible and visual alarm devices;

[0106] The alarm information is received through the aforementioned audible and visual alarm device;

[0107] The audible and visual alarm device triggers an audible and visual alarm based on the alarm information.

[0108] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Figure 1 The safety management method and specific example for large machinery cross-operations in Embodiment 1 are also applicable to the safety management system for large machinery cross-operations in this embodiment. Through the foregoing detailed description of the safety management method for large machinery cross-operations, those skilled in the art can clearly understand the safety management system for large machinery cross-operations in this embodiment; therefore, for the sake of brevity, it will not be described in detail here. As for the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant details can be found in the method section.

[0109] The present invention also provides an electronic device, comprising:

[0110] At least one processor;

[0111] A memory that is communicatively connected to the at least one processor;

[0112] The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the method described in any one of Embodiment 1.

[0113] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed, implements the steps of any of the methods described in Embodiment 1.

[0114] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0115] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of this invention and its equivalents, this invention also intends to include these modifications and variations.

Claims

1. A safety management method for cross-operation of large machinery, characterized in that, include: Assemble a set of functional systems, which refers to the collection of various functional systems of the target large-scale mechanical equipment; A first security level is obtained based on the first security feature parameters obtained by collecting security features of the first functional system. The first security level refers to the level of security status of the first functional system. The first functional system is any one of the functional systems in the set of functional systems. The target equipment safety index of the target large mechanical equipment is obtained by weighting the first safety level using the principle of the coefficient of variation. The target cross-operation of the large mechanical equipment is analyzed to obtain the target cross-operation area; By analyzing the target area image of the target cross-operation area acquired by the intelligent image acquisition device, the safety index of the target cross-operation area is obtained; A comprehensive safety index is obtained based on the target equipment safety index and the target intersection area safety index. If the target device security index and / or the target intersection area security index and / or the comprehensive security index fail to reach the predetermined index threshold, an alarm message will be issued. Emergency management of the operational safety of the target large mechanical equipment in the target cross-operation area is carried out based on the alarm information; The target area image time sequence is obtained by monitoring the intelligent image acquisition device, and the target area image time sequence includes multiple area images with time identifiers; Extract the first region image from the plurality of region images; The first region image is used as the reference image, and the images in the plurality of region images after removing the first region image are used as the images to be registered. The image to be registered is registered based on the reference image to obtain the target region image; The step of registering the image to be registered based on the reference image to obtain the target region image includes: Extract the first image to be registered from the images to be registered; The first image to be registered is offset based on the reference image to obtain the first offset image; The first offset image is rotated based on the reference image to obtain the first rotated image; The first rotated image is enhanced based on the reference image to obtain the target region image; The step of obtaining the target intersection area safety index by analyzing the target area image acquired by the intelligent image acquisition device includes: Tonal feature recognition is performed on the target region image to obtain target tonal feature information; The target region image is subjected to texture feature recognition to obtain target texture feature information; The target tone feature information and the target texture feature information constitute the target region image feature set of the target cross-operation area; Determine whether the first image feature of the first image layer in the target region image feature set meets the predetermined layer feature threshold. The first image layer refers to any one of the multiple image layers obtained after dividing the target region image into grids. If it does not conform, the first image region is marked as abnormal to obtain a first abnormality identifier, which includes a first abnormality type identifier and a first abnormality degree identifier. The target intersection area security index is obtained based on the first anomaly type identifier and the first anomaly degree identifier.

2. The method according to claim 1, characterized in that, The functional system suite includes at least mechanical components, electrical systems, hydraulic systems, and safety protection systems.

3. The method according to claim 2, characterized in that, The first security level is obtained based on the first security feature parameters acquired through security feature collection of the first functional system, including: Read a predetermined set of security indicators, wherein the predetermined set of security indicators includes at least integrity, stability, adaptability, and control precision; The first functional system is subjected to security feature collection based on the predetermined set of security indicators.

4. The method according to claim 1, characterized in that, The method also includes: Acquire audible and visual alarm devices; The alarm information is received through the aforementioned audible and visual alarm device; The audible and visual alarm device triggers an audible and visual alarm based on the alarm information.

5. A safety management system for large machinery operating in a cross-operation manner, characterized in that, The system is used to perform the method according to any one of claims 1 to 4, the system comprising: The system assembly module is used to assemble a set of functional systems, which refers to the collection of various functional systems of the target large mechanical equipment. The security analysis module is used to obtain a first security level based on the first security feature parameters obtained by collecting security features of the first functional system. The first security level refers to the level of security status of the first functional system, and the first functional system is any one of the functional systems in the set of functional systems. The safety index calculation module is used to obtain the target equipment safety index of the target large mechanical equipment by weighting the first safety level using the principle of the coefficient of variation. The area determination module is used to analyze the target cross-operations of the target large mechanical equipment to obtain the target cross-operation area; The image analysis module is used to obtain the target intersection area safety index by analyzing the target area image of the target intersection operation area acquired by the intelligent image acquisition device; A comprehensive analysis module is used to obtain a comprehensive safety index based on the target equipment safety index and the target intersection area safety index; The alarm detection module is used to issue an alarm message if the security index of the target device and / or the security index of the target intersection area and / or the comprehensive security index does not reach a predetermined index threshold. An emergency execution module is used to perform emergency management of the operational safety of the target large mechanical equipment in the target cross-operation area based on the alarm information.

6. An electronic device, comprising: At least one processor; A memory that is communicatively connected to the at least one processor; 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 to 4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed, implements the steps of the method according to any one of claims 1 to 4.

Images