Safety management method and system for cross operation of large machinery

Abstract

The invention discloses a safety management method and system for cross operation of large machinery, and relates to the technical field of intelligent management, and the method comprises the steps: building a function system set; obtaining a first security level according to a first security feature parameter obtained by performing security feature collection on the first functional system; obtaining a target equipment safety index; obtaining a target cross operation area; analyzing a target area image of the target cross operation area acquired by intelligent image acquisition equipment to obtain a target cross area safety index; obtaining a comprehensive safety index; if the preset index threshold value is not reached, alarm information is sent out. The problem that the life and property safety of operators cannot be guaranteed easily in the actual operation of the existing building industry is solved. Intelligent and comprehensive efficient safety inspection is performed on the target large-scale mechanical equipment and the cross operation area thereof, so that the technical effects of ensuring the safety of cross operation of the large-scale mechanical equipment and further reducing accidents are achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent management, and particularly relates to a safety management method and system for large mechanical cross operation. BACKGROUND

[0002] With the rapid development of modern construction industry, large mechanical equipment is applied more and more widely in construction sites. In the operation process of large mechanical equipment, a plurality of operation tasks need to be performed, such as hoisting, excavating, loading and the like. These operation tasks need to be performed at different places and different times, so the cross operation of large mechanical equipment is more and more. However, because the operation range of large mechanical equipment is large and the operation is complex, and there are a plurality of risk factors in the cross operation, how to ensure the safety of the cross operation of large mechanical equipment has become a problem to be solved.

[0003] However, in the actual operation of the existing construction industry, the mutual cooperation and cross operation between a plurality of large mechanical equipment are often needed, and the cross operation increases many risks compared with independent operation. The traditional operation management method in the prior art cannot discover the risks in the cross operation in time and issue an alarm information, so that the safety of the cross operation is not high, and there is a problem of being not conducive to protecting the life and property safety of the operation personnel. SUMMARY

[0004] The purpose of the present application is to provide a safety management method and system for large mechanical cross operation, so as to solve the problem that in the actual operation of the existing construction industry, the mutual cooperation and cross operation between a plurality of large mechanical equipment are often needed, and the cross operation increases many risks compared with independent operation. The traditional operation management method in the prior art cannot discover the risks in the cross operation in time and issue an alarm information, so that the safety of the cross operation is not high, and there is a problem of being not conducive to protecting the life and property safety of the operation personnel.

[0005] In view of the above problems, the present application provides a safety management method and system for large mechanical cross operation.

[0006] In a first aspect, the present application provides a safety management method for large mechanical cross operation, which is realized by a safety management system for large mechanical cross operation, wherein the method comprises: assembling a function system set, which is a set of function systems of a target large mechanical equipment; obtaining a first safety level according to a first safety characteristic parameter obtained by collecting safety characteristics of a first function system, the first safety level being a level of safety of the first function system, the first function system being any one of the function systems in the function system set; obtaining a target equipment safety index of the target large mechanical equipment by weighting the first safety level using a coefficient of variation principle; analyzing a target cross operation of the target large mechanical equipment to obtain a target cross operation area; obtaining a target cross area safety index by analyzing a target area image of the target cross operation area collected by an intelligent image collection device; obtaining a comprehensive safety index according to the target equipment safety index and the target cross area safety index; issuing an alarm information if the target equipment safety index and / or the target cross area safety index and / or the comprehensive safety index does not reach a predetermined index threshold; and performing emergency management on the operation safety of the target large mechanical equipment in the target cross operation area according to the alarm information.

[0007] In a second aspect, the present application further provides a safety management system for large mechanical cross operation, which is used to execute the safety management method for large mechanical cross operation as described in the first aspect, wherein the system comprises: a system component modeling module, which is used to model a functional system set, the functional system set being a set of functional systems of a target large mechanical equipment; a safety analysis module, which is used to obtain a first safety level according to a first safety feature parameter obtained by collecting a safety feature of a first functional system, the first safety level being a level of safety condition of the first functional system, the first functional system being any one of the functional systems in the functional system set; a safety index calculation module, which is used to obtain a target equipment safety index of the target large mechanical equipment by weighting the first safety level using a coefficient of variation principle; a region determination module, which is used to analyze a target cross operation of the target large mechanical equipment to obtain a target cross operation region; an image analysis module, which is used to obtain a target cross region safety index by analyzing a target region image of the target cross operation region collected by an intelligent image collection device; a comprehensive analysis module, which is used to obtain a comprehensive safety index according to the target equipment safety index and the target cross region safety index; a judgment and alarm module, which is used to issue an alarm information if the target equipment safety index and / or the target cross region safety index and / or the comprehensive safety index does not reach a predetermined index threshold; and an emergency execution module, which is used to perform emergency management on operation safety of the target large mechanical equipment in the target cross operation region according to the alarm information.

[0008] In a third aspect, the present application further provides an electronic device, comprising:

[0009] at least one processor;

[0010] a memory connected with the at least one processor in communication;

[0011] wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method of any one of the first aspect.

[0012] In a fourth aspect, a computer readable storage medium is provided, and the computer readable storage medium stores a computer program, and the computer program is executed to implement the steps of the method of any one of the first aspect.

[0013] The one or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0014] By assembling a function system set, the function system set refers to a set of function systems of the target large mechanical equipment; a first safety level is obtained according to a first safety feature parameter obtained by collecting a safety feature of a first function system, the first safety level refers to a level of safety of the first function system, and the first function system is any one of the function system set; a target equipment safety index of the target large mechanical equipment is obtained by weighting the first safety level using a coefficient of variation principle; a target cross-operation region of the target large mechanical equipment is analyzed to obtain a target cross-operation region; a target cross-region safety index is obtained by analyzing a target region image of the target cross-operation region collected by an intelligent image collection device; a comprehensive safety index is obtained according to the target equipment safety index and the target cross-region safety index; if the target equipment safety index and / or the target cross-region safety index and / or the comprehensive safety index does not reach a predetermined index threshold, an alarm information is sent; and the operation safety of the target large mechanical equipment in the target cross-operation region is managed in an emergency according to the alarm information. Through intelligent and all-round efficient safety inspection of the target large mechanical equipment and its cross-operation region, risk factors are found in advance before actual cross-operation and countermeasures are taken, the risk in actual operation is reduced, the safety of large mechanical cross-operation is ensured, and the technical effect of reducing accidents is achieved.

[0015] The above description is only a summary of the technical solutions of the present application. In order to enable one skilled in the art to better understand the technical means of the present application, the contents of the specification can be implemented, and in order to enable the above and other purposes, features and advantages of the present application to be more obvious and easy to understand, the specific embodiments of the present application are described below. It should be understood that the contents described in this part are not intended to identify the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings needed in the embodiments or the prior art description. Obviously, the drawings in the following description are only exemplary, and those skilled in the art can obtain other drawings according to the provided drawings without creating any creative labor.

[0017] Figure 1 A flowchart of a safety management method for large mechanical cross-operation of the present application;

[0018] Figure 2 A flowchart of a safety management method for large mechanical cross-operation of the present application;

[0019] Figure 3 Figure 1 is a structural schematic diagram of a safety management system for large mechanical cross operation according to the present application.

[0020] Legend of reference signs:

[0021] System establishment module 11, safety analysis module 12, safety index calculation module 13, region determination module 14, image analysis module 15, comprehensive analysis module 16, judgment and alarm module 17, and emergency execution module 18. DETAILED DESCRIPTION

[0022] The present application provides a safety management method and system for large mechanical cross operation, which solves the problem that in the actual operation of the existing construction industry, the cooperation and cross operation of multiple large mechanical equipment are often required, the cross operation increases many risks compared with independent operation, the traditional operation management method in the prior art cannot discover the risks in the cross operation in time and issue alarm information, which leads to low safety of the cross operation and the problem that it is not conducive to protecting the life and property safety of the operation personnel. Through intelligent and all-around efficient safety inspection on the target large mechanical equipment and its cross operation region, the risk factors are discovered in advance before the real cross operation and countermeasures are taken, the risks in the actual operation are reduced, the safety of the large mechanical cross operation is ensured, and the technical effect of reducing accidents is achieved.

[0023] Hereinafter, the technical solutions in the present application will be described clearly and completely with reference to the drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present application. In addition, it should be noted that, for convenience of description, only parts related to the present application are shown in the drawings rather than all parts.

[0024] Embodiment one

[0025] Please refer to the accompanying drawings Figure 1 The present application provides a safety management method for large mechanical cross operation, wherein the method is applied to a safety management system for large mechanical cross operation, and the method specifically comprises the following steps:

[0026] Establish a function system set, wherein the function system set refers to a set of function systems of a target large mechanical equipment;

[0027] Further, the present application further comprises the following steps:

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

[0029] A first safety level is obtained according to a first safety feature parameter obtained by collecting safety features of a first functional system, the first safety level refers to the level of safety of the first functional system, and the first functional system is any one of the functional system set;

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

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

[0032] A target cross-region safety index is obtained by analyzing a target region image of the target cross-operation area collected by an intelligent image collection device;

[0033] A comprehensive safety index is obtained according to the target device safety index and the target cross-region safety index;

[0034] If the target device safety index and / or the target cross-region safety index and / or the comprehensive safety index does not reach a predetermined index threshold, an alarm information is issued;

[0035] According to the alarm information, the operation safety of the target large mechanical equipment in the target cross-operation area is managed in an emergency.

[0036] Specifically, the safety management method for large mechanical cross-operation is applied to a safety management system for large mechanical cross-operation, which can reduce the risk in actual operation through intelligent, comprehensive, and efficient safety inspection of target large mechanical equipment and its cross-operation area.

[0037] First, each device component and structural feature of the target large mechanical equipment is analyzed to form a functional system set, which is a collection of functional systems of the target large mechanical equipment, and the functional system set at least includes mechanical components, electrical systems, hydraulic systems, and safety protection systems. The mechanical components refer to all mechanical components and structural features that constitute the target large mechanical equipment. The electrical system refers to all electrical equipment that constitutes the target large mechanical equipment, including but not limited to motors, generators, power distribution systems, control systems, etc. The hydraulic system refers to all hydraulic devices that constitute the target large mechanical equipment, including but not limited to hydraulic pumps, hydraulic cylinders, hydraulic valves, etc. The safety protection system refers to the safety hardware and software of the target large mechanical equipment for operation safety, such as an emergency shutdown button, etc.

[0038] Then, the collection of security features and the like related information of each functional system in the functional system set is sequentially performed, that is, any one functional system in the functional system set is randomly obtained, which is recorded as a first functional system, and the first security feature parameter obtained by collecting the security features of the first functional system is collected, and then the first security feature parameter is normalized to obtain a normalized result eliminating the dimension, and finally the normalized result is weighted to obtain a first security level. The first security level refers to the level of the security situation of the first functional system. Finally, based on the security levels of all functional systems in the functional system set, the target equipment safety index of the target large-scale mechanical equipment is obtained by weighting using the coefficient of variation principle. The coefficient of variation is also called the standard deviation rate, which is another statistical quantity for measuring the variation degree of each observation value in the data, and is used when comparing the variation degrees of two or more data. If the measurement unit and the average are the same, the standard deviation can be directly compared.

[0039] Next, the target cross-operation of the target large-scale mechanical equipment is analyzed, and the target cross-operation area of the target large-scale mechanical equipment is determined, and then the target cross-operation area is imaged by an intelligent image acquisition device, and then the target area image of the target cross-operation area is obtained by analyzing the area image, and the target cross-operation area safety index is obtained.

[0040] Next, the comprehensive safety index is obtained according to the target equipment safety index and the target cross-operation area safety index. The comprehensive safety index refers to the safety prediction of the target large-scale mechanical equipment in the target cross-operation area. When one or more of the target equipment safety index, the target cross-operation area safety index, and the comprehensive safety index does not reach a predetermined index threshold, the system will issue an alarm information, indicating that the current operation has a high risk, and the cross-operation should be suspended and processed before continuing. That is, according to the alarm information, the operation safety of the target large-scale mechanical equipment in the target cross-operation area is managed in an emergency.

[0041] Further, the present application further comprises the following steps:

[0042] Reading a predetermined safety index set, wherein the predetermined safety index set at least includes integrity, stability, adaptability, and control accuracy;

[0043] Collecting the security features of the first functional system according to the predetermined safety index set.

[0044] Specifically, the predetermined safety index set is a set that is analyzed and determined by a professional technician or the like in advance, wherein the predetermined safety index set at least includes integrity, stability, adaptability, and control accuracy. The integrity refers to structural integrity and functional integrity of each system component, the stability refers to a degree of smooth operation of each system component when operating alone, the adaptability refers to whether each system component can normally operate under different environmental conditions, and the control accuracy refers to a degree of deviation between actual control and ideal control of each system component in a historical application process. Finally, safety features of the first functional system are collected according to the predetermined safety index set.

[0045] Further, the present application further includes the following steps:

[0046] A target region image time sequence is monitored by the intelligent acquisition device, and the target region image time sequence includes a plurality of region images with time identifiers.

[0047] A first region image in the plurality of region images is extracted.

[0048] The first region image is taken as a reference image, and images after the first region image is removed from the plurality of region images are taken as to-be-registered images.

[0049] The to-be-registered images are registered according to the reference image to obtain the target region image.

[0050] Specifically, a target region image time sequence is monitored by the intelligent acquisition device, and the target region image time sequence includes a plurality of region images with time identifiers. A first region image in the plurality of region images is extracted. The first region image refers to a region image with a first time identifier. The first region image is taken as a reference image, and images after the first region image is removed from the plurality of region images are taken as to-be-registered images. That is, the first image is taken as a reference image, and other images are taken as to-be-registered images. The to-be-registered images are registered according to the reference image to obtain the target region image.

[0051] Further, the present application further includes the following steps:

[0052] A first to-be-registered image in the to-be-registered images is extracted.

[0053] The first to-be-registered image is offset according to the reference image to obtain a first offset image.

[0054] The first offset image is rotated according to the reference image to obtain a first rotated image.

[0055] The first rotation image is enhanced according to the reference image to obtain the target region image.

[0056] Specifically, a first to-be-registered image in the to-be-registered images is extracted, the first to-be-registered image is offset according to the reference image to obtain a first offset image, the first offset image is rotated according to the reference image to obtain a first rotation image, and the first rotation image is enhanced according to the reference image to obtain the target region image.

[0057] Further, the application further comprises the following steps:

[0058] The target region image is subjected to tone feature recognition to obtain target tone 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 form a target region image feature set of the target cross-operation region.

[0061] It is judged whether a first image feature of a first image area layer in the target region image feature set meets a predetermined area layer feature threshold value, the first image area layer being any one of a plurality of image area layers obtained by grid division of the target region image.

[0062] If not, the first image area layer is marked as abnormal to obtain a first abnormality identification, the first abnormality identification including a first abnormality type identification and a first abnormality degree identification.

[0063] The target cross-region safety index is obtained according to the first abnormality type identification and the first abnormality degree identification.

[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 form a target region image feature set of the target cross-operation region. It is judged whether a first image feature of a first image area layer in the target region image feature set meets a predetermined area layer feature threshold value, the first image area layer being any one of a plurality of image area layers obtained by grid division of the target region image. If not, the first image area layer is marked as abnormal to obtain a first abnormality identification, the first abnormality identification including a first abnormality type identification and a first abnormality degree identification. The target cross-region safety index is obtained according to the first abnormality type identification and the first abnormality degree identification.

[0065] Further, as shown in the accompanying drawings Figure 2 The present application also includes the following steps:

[0066] Obtaining an acousto-optic alarm device;

[0067] Receiving the alarm information through the acousto-optic alarm device;

[0068] The acousto-optic alarm device alarms based on the alarm information.

[0069] Specifically, an acousto-optic alarm device is obtained, and the alarm information is received through the acousto-optic alarm device, and then the acousto-optic alarm device alarms based on the alarm information. Exemplarily, high-decibel screams and high-frequency flashes are used for alarm to improve the efficiency of the operator in discovering the alarm.

[0070] In summary, the safety management method for large-scale mechanical cross-operation provided by the present application has the following technical effects:

[0071] By assembling a functional system set, the functional system set refers to a set of functional systems of a target large-scale mechanical device; a first safety level is obtained according to a first safety characteristic parameter obtained by collecting safety characteristics of a first functional system, the first safety level refers to the level of the safety of the first functional system, and the first functional system is any one of the functional systems in the functional system set; the target device safety index of the target large-scale mechanical device is obtained by weighting the first safety level using the coefficient of variation principle; the target cross-operation region of the target large-scale mechanical device is analyzed to obtain a target cross-operation region; a target region image of the target cross-operation region collected by an intelligent image acquisition device is analyzed to obtain a target cross-region safety index; a comprehensive safety index is obtained according to the target device safety index and the target cross-region safety index; if the target device safety index and / or the target cross-region safety index and / or the comprehensive safety index does not reach a predetermined index threshold, an alarm information is sent; and the operation safety of the target large-scale mechanical device in the target cross-operation region is managed in an emergency according to the alarm information. Through intelligent and comprehensive efficient safety inspection of the target large-scale mechanical device and its cross-operation region, risk factors are found and countermeasures are taken in advance before the actual cross-operation, the risk in the actual operation is reduced, the safety of the large-scale mechanical cross-operation is ensured, and the technical effect of reducing accidents is achieved.

[0072] Embodiment two

[0073] Based on the safety management method for large-scale mechanical cross-operation in the foregoing embodiment, the same inventive concept is also provided by the present application, which is a safety management system for large-scale mechanical cross-operation, please refer to the accompanyingFigure 3 The system comprises:

[0074] a system assembly module 11 configured to assemble a functional system set, the functional system set being a set of functional systems of a target large mechanical equipment;

[0075] a safety analysis module 12 configured to obtain a first safety level according to a first safety feature parameter obtained by safety feature collection on a first functional system, the first safety level being a level of safety of the first functional system, the first functional system being any one of the functional system set;

[0076] a safety index calculation module 13 configured to obtain a target equipment safety index of the target large mechanical equipment by weighting the first safety level using a coefficient of variation principle;

[0077] a region determination module 14 configured to analyze a target cross-operation of the target large mechanical equipment to obtain a target cross-operation region;

[0078] an image analysis module 15 configured to obtain a target cross-region safety index by analyzing a target region image of the target cross-operation region collected by an intelligent image collection device;

[0079] a comprehensive analysis module 16 configured to obtain a comprehensive safety index according to the target equipment safety index and the target cross-region safety index;

[0080] a judgment and alarm module 17 configured to issue an alarm information if the target equipment safety index and / or the target cross-region safety index and / or the comprehensive safety index does not reach a predetermined index threshold;

[0081] an emergency execution module 18 configured to perform emergency management on operation safety of the target large mechanical equipment in the target cross-operation region according to the alarm information.

[0082] Further, the system assembly module 11 in the system is further configured to:

[0083] the functional system set at least comprises mechanical components, electrical systems, hydraulic systems and safety protection systems.

[0084] Further, the safety analysis module 12 in the system is further configured to:

[0085] read a predetermined safety index set, wherein the predetermined safety index set at least comprises integrity, stability, adaptability, control accuracy;

[0086] collect safety features of the first functional system according to the predetermined safety index set.

[0087] Further, the image analysis module 15 in the system is further used for:

[0088] Monitoring the target region image time sequence by the intelligent acquisition device, the target region image time sequence comprising a plurality of region images with time identifiers;

[0089] Extracting a first region image in the plurality of region images;

[0090] Taking the first region image as a reference image, and taking the images after the first region image is excluded from the plurality of region images as to-be-registered images;

[0091] Registering the to-be-registered images according to the reference image to obtain the target region image.

[0092] Further, the image analysis module 15 in the system is further used for:

[0093] Extracting a first to-be-registered image in the to-be-registered images;

[0094] Performing offset processing on the first to-be-registered image according to the reference image to obtain a first offset image;

[0095] Performing rotation processing on the first offset image according to the reference image to obtain a first rotation image;

[0096] Performing enhancement processing on the first rotation image according to the reference image to obtain the target region image.

[0097] Further, the image analysis module 15 in the system is further used for:

[0098] Performing hue feature recognition on the target region image to obtain target hue feature information;

[0099] Performing texture feature recognition on the target region image to obtain target texture feature information;

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

[0101] Judging whether a first image feature of a first image area layer in the target region image feature set meets a predetermined area layer feature threshold value, the first image area layer being any one of a plurality of image area layers obtained by grid dividing the target region image;

[0102] If not, the first image area layer is marked as an exception, obtaining a first exception identifier, the first exception identifier including a first exception type identifier and a first exception degree identifier;

[0103] The target intersection area safety index is obtained according to the first exception type identifier and the first exception degree identifier.

[0104] Further, the system further comprises an audible and light alarm module, wherein the audible and light alarm module is configured to:

[0105] obtain an audible and light alarm device;

[0106] receive the alarm information through the audible and light alarm device;

[0107] the audible and light alarm device performs audible and light alarm based on the alarm information.

[0108] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the difference from other embodiments. Figure 1 The safety management method for large mechanical intersection operation in embodiment one is also applicable to the safety management system for large mechanical intersection operation in the present embodiment.

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

[0110] at least one processor;

[0111] a memory in communication connection with the at least one processor;

[0112] wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method of any one of the embodiments.

[0113] The present application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program is executed to implement the steps of the method of any one of the embodiments.

[0114] The foregoing description of the disclosed embodiments enables a person skilled in the art to make or use the application. Numerous modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein can be applied to other embodiments without the use of the inventive faculty. Therefore, the present application is not intended 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] It will be readily apparent to one skilled in the art that varying substitutions and modifications can be made to the application without departing from the scope and spirit of the application. Accordingly, it is intended that all such alterations and modifications be considered as within the scope of the application.

Claims

1. A safety management method for large-scale mechanical cross-operation, characterized in that: include: Establishing a functional system set, wherein the functional system set refers to a set of functional systems of the target large-scale mechanical equipment; Obtaining a first security level based on a first security feature parameter obtained by collecting security features of a first functional system, where the first security level refers to a level of security status of the first functional system, and the first functional system is any one functional system in the set of functional systems; The first safety level is weighted by using the coefficient of variation principle to obtain a target equipment safety index of the target large-scale mechanical equipment; Analyze the target cross-operation of the target large-scale mechanical equipment to obtain a target cross-operation area; Obtaining a target intersection area safety index by analyzing a target area image of the target intersection operation area acquired by an intelligent image acquisition device; Obtaining a comprehensive safety index based on the target device safety index and the target intersection area safety index; If the target device safety index and / or the target intersection area safety index and / or the comprehensive safety index do not reach a predetermined index threshold, issuing an alarm message; Emergency management is performed on the operation safety of the target large-scale mechanical equipment in the target cross-operation area based on the alarm information.

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

3. The method according to claim 2, characterized in that Obtaining a first security level according to a first security feature parameter obtained by collecting security features of the first functional system includes: Reading a predetermined set of safety indicators, wherein the predetermined set of safety indicators at least includes integrity, stability, adaptability, and control accuracy; Security features of the first functional system are collected according to the predetermined security indicator set.

4. The method according to claim 1, characterized in that include: A target area image time sequence is obtained by monitoring the intelligent acquisition device, wherein the target area image time sequence includes a plurality of area images with time marks; extracting a first regional image from the plurality of regional images; Using the first region image as a reference image, and using an image obtained by removing the first region image from the plurality of region images as an image to be registered; The image to be registered is registered according to the reference image to obtain the target area image.

5. The method according to claim 4, characterized in that: Performing registration processing on the image to be registered according to the reference image to obtain the target area image includes: Extracting a first image to be registered from the images to be registered; performing an offset process on the first image to be registered according to the reference image to obtain a first offset image; performing rotation processing on the first offset image according to the reference image to obtain a first rotated image; The first rotated image is enhanced according to the reference image to obtain the target area image.

6. The method according to claim 5, characterized in that By analyzing the target area image of the target intersection operation area acquired by the intelligent image acquisition device, a target intersection area safety index is obtained, including: Performing color tone feature recognition on the target area image to obtain target color tone feature information; Performing texture feature recognition on the target area image to obtain target texture feature information; The target hue feature information and the target texture feature information constitute a target area image feature set of the target cross-operation area; determining whether a first image feature of a first image region layer in the target region image feature set meets a predetermined region layer feature threshold, the first image region layer being any one of a plurality of image region layers obtained by gridding the target region image; If it does not meet the requirements, the first image region layer is marked as abnormal to obtain a first abnormality identifier, wherein the first abnormality identifier includes a first abnormality type identifier and a first abnormality degree identifier; The target intersection area safety index is obtained according to the first abnormality type identifier and the first abnormality degree identifier.

7. The method according to claim 1, characterized in that: The method also includes: Obtain audible and visual alarm equipment; Receiving the alarm information through the sound and light alarm device; The sound and light alarm device performs sound and light alarm based on the alarm information.

8. A safety management system for large-scale mechanical cross-operation, characterized in that: The system comprises: A system building module, which is used to build a functional system set, wherein the functional system set refers to a set of functional systems of the target large-scale mechanical equipment; a security analysis module, configured to obtain a first security level based on first security feature parameters obtained by collecting security features of a first functional system, wherein the first security level refers to a level of security of the first functional system, and the first functional system is any one functional system in the set of functional systems; a safety index calculation module, configured to weight the first safety level using a coefficient of variation principle to obtain a target equipment safety index for the target large-scale mechanical equipment; an area determination module, which is used to analyze the target cross-operation of the target large-scale mechanical equipment to obtain a target cross-operation area; an image analysis module, configured to obtain a target intersection area safety index by analyzing a target area image of the target intersection operation area acquired by an intelligent image acquisition device; A comprehensive analysis module, configured to obtain a comprehensive safety index based on the target device safety index and the target intersection area safety index; a judgment and alarm module, configured to issue an alarm message if the target device safety index and / or the target intersection area safety index and / or the comprehensive safety index do not reach a predetermined index threshold; An emergency execution module is used to perform emergency management on the operation safety of the target large-scale mechanical equipment in the target cross-operation area according to the alarm information.

9. An electronic device comprising: at least one processor; a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 7.

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

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