Electronic perimeter data management method and system, electronic equipment and storage medium

Abstract

The invention relates to the technical field of data management, and particularly discloses an electronic perimeter data management method and system, electronic equipment and a storage medium, and the method comprises the steps: determining a target electronic perimeter corresponding to a construction region, and obtaining various types of target perimeter data associated with the target electronic perimeter; performing data analysis on each type of target perimeter data by using the data analysis model corresponding to each type of target perimeter data to obtain data analysis results corresponding to multiple types of target perimeter data; and according to the data analysis result corresponding to the at least one type of target perimeter data, generating a decision suggestion for the target electronic perimeter. By analyzing the associated data of the electronic perimeter, decision support is provided for management of the electronic perimeter, the operation process can be optimized, and the working efficiency can be improved.

Description

Background Art

[0002] The construction, expansion, technical transformation, overhaul and other in-station construction lifting and transportation of substations cannot be separated from the cooperation of lifting cranes. They are close to live objects and there are certain safety hazards. Especially when the crane is performing high-altitude arm rotation, arm extension, cross operations and other links, there is no more accurate data to support, and it can only rely on naked eye observation. Due to weather, environment, distance, light and other conditions, inaccurate observation will occur. The crane can easily get too close to the live objects and cause safety accidents.

[0003] Currently, the electronic perimeter system for cranes only has configuration management, real-time monitoring, and historical trajectory functions, but no in-depth analysis and data mining.

[0004] Therefore, it is urgent to provide a technical solution to solve the above problems. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides an electronic perimeter data management method, system, electronic device and storage medium.

[0006] In a first aspect, the present invention provides an electronic perimeter data management method, the technical solution of the method is as follows:

[0007] Determine a target electronic perimeter corresponding to the construction area, and obtain multiple types of target perimeter data associated with the target electronic perimeter;

[0008] Using the data analysis model corresponding to each type of target perimeter data, data analysis is performed on each type of target perimeter data to obtain data analysis results corresponding to multiple types of target perimeter data;

[0009] A decision suggestion for the target electronic perimeter is generated according to a data analysis result corresponding to at least one type of target perimeter data.

[0010] The beneficial effects of an electronic perimeter data management method of the present invention are as follows:

[0011] The method of the present invention provides decision support for the management of the electronic perimeter by analyzing the associated data of the electronic perimeter, and can optimize the operation process and improve the work efficiency.

[0012] Based on the above solution, the electronic perimeter data management method of the present invention can also be improved as follows.

[0013] In an optional manner, the multiple types of target perimeter data include: construction perimeter data, substation basic data, crane operation data, perimeter alarm data, safety officer data and driver data.

[0014] In an optional manner, the data analysis model includes: at least one of a time series analysis model, a machine learning model and a cluster analysis model.

[0015] In an optional manner, the decision suggestion includes: at least one of a crane decision suggestion, a substation decision suggestion, a driver decision suggestion, a safety officer decision suggestion and a perimeter decision suggestion.

[0016] In an optional manner, the step of obtaining multiple types of target perimeter data associated with the target electronic perimeter includes:

[0017] A plurality of types of original perimeter data associated with the target electronic perimeter are acquired, and data preprocessing is performed on the plurality of types of original perimeter data respectively to obtain a plurality of types of target perimeter data associated with the target electronic perimeter.

[0018] In a second aspect, the present invention provides an electronic perimeter data management system, the technical solution of which is as follows:

[0019] Includes: acquisition module, analysis module and decision module;

[0020] The acquisition module is used to: determine the target electronic perimeter corresponding to the construction area, and acquire multiple types of target perimeter data associated with the target electronic perimeter;

[0021] The analysis module is used to: use the data analysis model corresponding to each type of target perimeter data to perform data analysis on each type of target perimeter data, and obtain data analysis results corresponding to multiple types of target perimeter data;

[0022] The decision module is used to generate a decision suggestion for the target electronic perimeter according to a data analysis result corresponding to at least one type of target perimeter data.

[0023] The beneficial effects of an electronic perimeter data management system of the present invention are as follows:

[0024] The system of the present invention provides decision support for the management of the electronic perimeter by analyzing the associated data of the electronic perimeter, thereby optimizing the operation process and improving the work efficiency.

[0025] Based on the above solution, the electronic perimeter data management system of the present invention can also be improved as follows.

[0026] In an optional manner, the multiple types of target perimeter data include: construction perimeter data, substation basic data, crane operation data, perimeter alarm data, safety officer data and driver data.

[0027] In an optional manner, the data analysis model includes: at least one of a time series analysis model, a machine learning model, and a cluster analysis model.

[0028] In a third aspect, a technical solution of an electronic device of the present invention is as follows:

[0029] The invention comprises a memory, a processor and a program stored in the memory and running on the processor. When the processor executes the program, the steps of the electronic perimeter data management method of the present invention are realized.

[0030] In a fourth aspect, the present invention provides a computer-readable storage medium having the following technical solution:

[0031] Instructions are stored in the computer-readable storage medium. When the computer-readable storage medium reads the instructions, the computer-readable storage medium executes the steps of the electronic perimeter data management method of the present invention.

[0032] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings are only used to illustrate the embodiments and are not to be considered as limiting the present invention. In addition, the same reference symbols are used to represent the same components throughout the accompanying drawings. In the accompanying drawings:

[0034] Figure 1 A schematic diagram of a flow chart of an embodiment of an electronic perimeter data management method of the present invention;

[0035] Figure 2 It is a structural schematic diagram of an embodiment of an electronic perimeter data management system of the present invention;

[0036] Figure 3 The figure is a schematic structural diagram of an embodiment of an electronic device of the present invention. DETAILED DESCRIPTION

[0037] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0038] Figure 1A flow chart of an embodiment of an electronic perimeter data management method provided by the present invention is shown, and the electronic perimeter data management method can be executed by an electronic device such as a terminal device or a server. The terminal device can be any fixed or mobile terminal such as a user equipment (UE), a mobile device, a user terminal, a terminal, a cellular phone, a cordless phone, a personal digital assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, etc. The server can be a single server or a server cluster composed of multiple servers. Any electronic device can implement the electronic perimeter data management method by calling computer-readable instructions stored in a memory through a processor. Figure 1 As shown, the following steps are included:

[0039] S1. Determine a target electronic perimeter corresponding to a construction area, and obtain multiple types of target perimeter data associated with the target electronic perimeter.

[0040] The construction area is the construction area of ​​the power system, which includes power equipment such as substations and high-voltage wires. The specific scope of the construction area can be selected according to actual needs and is not limited here. The target electronic perimeter is an electronic perimeter that fully covers the area corresponding to the construction area. The electronic perimeter is a perimeter protection system implemented by electronic technology. It can send out an alarm signal when an intrusion is detected, thereby reminding security management personnel to take timely countermeasures. The electronic perimeter system usually includes components such as sensors, alarm devices, and control centers, which can achieve comprehensive monitoring and protection of the construction area.

[0041] The perimeter data associated with the electronic perimeter refers to the data generated by events occurring within the electronic perimeter, and the data types include multiple types. The various types of target perimeter data include, but are not limited to: construction perimeter data, substation basic data, crane operation data, perimeter alarm data, safety officer data, and driver data. In this embodiment, the RTK equipment of the base station or mobile station of the target electronic perimeter collects various types of target perimeter data of the crane in the construction area during operation.

[0042] For various types of target perimeter data, it should be noted that:

[0043] 1) Construction perimeter data refers to: various information and parameters related to the boundaries or scope of the construction site, specifically: ① The geographical coordinates of the construction perimeter, including longitude and latitude, used to determine the specific location of the construction area. ② The boundary line of the construction perimeter, which may be displayed through maps, satellite images or on-site markings. ③ A text description of the construction perimeter, including length, width, shape and other characteristics.

[0044] 2) Substation basic data includes: ① Substation name: unique name that identifies the substation. ② Substation number: number used to distinguish different substations. ③ Voltage level: voltage range handled by the substation, such as 110kV, 220kV, etc. ④ Geographic location: latitude and longitude coordinates or specific address of the substation. ⑤ Construction time: construction date or commissioning date of the substation.

[0045] 3) Crane operation data include: ① Crane lifting weight data. ② Crane operation position data: lifting height, lowering depth, lifting range, span and amplitude of the boom. ③ Crane working speed data: lifting speed, trolley running speed, trolley running speed, boom speed, travel speed and rotation speed. ④ Other operation data: crane working time, power performance, temperature data and voltage data, etc.

[0046] 4) Perimeter alarm data refers to the data generated by the intrusion events or abnormal conditions in the target electronic perimeter after being processed by the alarm host. These data include key information such as event type, time, location, intrusion method, etc., which are used to trigger alarms, record events and provide a basis for subsequent processing.

[0047] 5) Safety officer data refers to the data obtained by the safety officer during regular safety assessment of the target electronic perimeter. Driver data refers to the data generated by the driver during the process of driving the crane of the target electronic perimeter.

[0048] S2. Utilizing the data analysis model corresponding to each type of target perimeter data, data analysis is performed on each type of target perimeter data to obtain data analysis results corresponding to multiple types of target perimeter data.

[0049] The data analysis model includes but is not limited to: at least one of a time series analysis model, a machine learning model, and a cluster analysis model. Specifically:

[0050] 1) Time series analysis models include: ①ARIMA model: Autoregressive integrated moving average model (ARIMA) is used to predict the future trend of time series data. ②Seasonal decomposition model: Seasonal decomposition of time series data is performed to identify and predict cyclical changes.

[0051] 2) Machine learning models include: ① Linear regression model: used to establish a linear relationship between the number of alarms and factors such as time and weather. ② Logistic regression model: used for classification problems, such as predicting whether a large number of alarms will occur within a certain period of time.

[0052] 3) Cluster analysis models include: ① K-means clustering model: cluster the alarm data into several clusters to identify different types of alarm patterns.

[0053] The analysis results include, but are not limited to: statistical analysis results of substations within the target electronic perimeter, seasonal analysis results, crane operation analysis results, safety officer statistical analysis results, and driver statistical analysis results.

[0054] It should be noted that in this embodiment, the data analysis results can be visualized in the form of charts, graphs, etc., so that management personnel can intuitively understand the operating conditions and potential problems of the cranes within the electronic perimeter.

[0055] S3. Generate a decision suggestion for the target electronic perimeter based on a data analysis result corresponding to at least one type of target perimeter data.

[0056] The decision suggestions include at least one of: crane decision suggestions, substation decision suggestions, driver decision suggestions, safety officer decision suggestions, and perimeter decision suggestions.

[0057] It should be noted that the decision suggestions in this embodiment may be the following example situations:

[0058] ①According to the maintenance situation of each substation this year, the maintenance plan of the substation next year is automatically formed and a budget report is formed. ②Through seasonal analysis, it is determined which season is more suitable for the maintenance work of the substation and which season is more likely to generate alarm data (for example, drivers or safety officers are prone to drowsiness in spring, heat stroke in summer, fatigue in autumn, and cold in winter, which are likely to cause safety officers or drivers to make mistakes and generate perimeter alarm data), so as to generate the maintenance work plan of the substation and the construction plan of the target electronic perimeter based on the above data. ③According to the weather conditions on the day of substation construction, the amount of alarm data is predicted (for example, drivers or safety officers will be affected by high temperature on sunny days, foggy conditions, and snowfall), so as to formulate a corresponding construction plan. ④Alarm data is generated due to the influence of non-season or weather, warning that the current driver's crane operation level is low, prompting the need to replace the driver or replace the vehicle. ⑤The influence of non-season, weather, and driver's driving level leads to a lot of alarm data, predicting that the location of the electronic perimeter planned by the safety officer is unreasonable, thus prompting the re-demarcation of the target electronic perimeter.

[0059] In an optional manner, the step of obtaining multiple types of target perimeter data associated with the target electronic perimeter includes:

[0060] A plurality of types of original perimeter data associated with the target electronic perimeter are acquired, and data preprocessing is performed on the plurality of types of original perimeter data respectively to obtain a plurality of types of target perimeter data associated with the target electronic perimeter.

[0061] Among them, the preprocessing methods include but are not limited to: cleaning, converting and integrating data to ensure the quality and consistency of data.

[0062] In this embodiment, the data obtained in this embodiment are stored in a cloud database. In order to prevent data leakage and abuse and improve data security and privacy protection, data storage needs to pass the Level 2 security assessment. With the development of technology and changes in business needs, the electronic perimeter can be continuously optimized and upgraded based on the real-time data generated in the electronic perimeter of the construction area to adapt to new challenges and needs.

[0063] The technical solution of this embodiment provides decision support for the management of the electronic perimeter by analyzing the associated data of the electronic perimeter, thereby optimizing the operation process and improving work efficiency.

[0064] Figure 2 FIG. 2 is a schematic diagram showing a structure of an embodiment of an electronic perimeter data management system 200 provided by the present invention. Figure 2 As shown, the system 200 includes: an acquisition module 210, an analysis module 220 and a decision module 230;

[0065] The acquisition module 210 is used to: determine the target electronic perimeter corresponding to the construction area, and acquire multiple types of target perimeter data associated with the target electronic perimeter;

[0066] The analysis module 220 is used to: perform data analysis on each type of target perimeter data using a data analysis model corresponding to each type of target perimeter data, and obtain data analysis results corresponding to multiple types of target perimeter data;

[0067] The decision module 230 is used to generate a decision suggestion for the target electronic perimeter according to a data analysis result corresponding to at least one type of target perimeter data.

[0068] In an optional manner, the multiple types of target perimeter data include: construction perimeter data, substation basic data, crane operation data, perimeter alarm data, safety officer data and driver data.

[0069] In an optional manner, the data analysis model includes: at least one of a time series analysis model, a machine learning model and a cluster analysis model.

[0070] In an optional manner, the decision suggestion includes: at least one of a crane decision suggestion, a substation decision suggestion, a driver decision suggestion, a safety officer decision suggestion, and a perimeter decision suggestion.

[0071] In an optional manner, the acquisition module 210 is specifically used to:

[0072] A plurality of types of original perimeter data associated with the target electronic perimeter are acquired, and data preprocessing is performed on the plurality of types of original perimeter data respectively to obtain a plurality of types of target perimeter data associated with the target electronic perimeter.

[0073] It should be noted that the beneficial effects of the electronic perimeter data management system provided in the above embodiment are the same as the beneficial effects of the electronic perimeter data management method, which will not be described in detail here. In addition, when the system provided in the above embodiment realizes its functions, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the system can be divided into different functional modules according to actual conditions to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be described in detail here.

[0074] Among them, the electronic perimeter data management system of the present invention can be a computer program (including program code) running in a computer device. For example, the electronic perimeter data management system of the present invention is an application software that can be used to execute the corresponding steps in the electronic perimeter data management method of the present invention.

[0075] In some embodiments, the electronic perimeter data management system of the present invention can be implemented in a combination of software and hardware. As an example, the electronic perimeter data management system of the present invention can be a processor in the form of a hardware decoding processor, which is programmed to execute the electronic perimeter data management method of the present invention. For example, the processor in the form of a hardware decoding processor can adopt one or more application specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), complex programmable logic devices (CPLDs), field programmable gate arrays (FPGAs), or other electronic components.

[0076] The modules involved in the embodiments of the present invention may be implemented in software or hardware. The name of a module does not limit the module itself in some cases.

[0077] An electronic device according to an embodiment of the present invention includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, any of the above-mentioned electronic perimeter data management methods is implemented. That is to say, an electronic device according to an embodiment of the present invention may include but is not limited to: a processor and a memory; the memory is used to store the computer program; the processor is used to execute the electronic perimeter data management method shown in any embodiment of the present invention by calling the computer program.

[0078] In an alternative embodiment, an electronic device is provided, such as Figure 3 As shown, Figure 3 The electronic device 4000 shown includes: a processor 4001 and a memory 4003. The processor 4001 and the memory 4003 are connected, such as through a bus 4002. Optionally, the electronic device 4000 may also include a transceiver 4004, which may be used for data interaction between the electronic device and other electronic devices, such as data transmission and / or data reception. It should be noted that in actual applications, the transceiver 4004 is not limited to one, and the structure of the electronic device 4000 does not constitute a limitation on the embodiments of the present invention.

[0079] Processor 4001 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of the present invention. Processor 4001 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0080] The bus 4002 may include a path to transmit information between the above components. The bus 4002 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 4002 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3In the figure, only one thick line is used to represent the bus 4002, but this does not mean that there is only one bus or one type of bus.

[0081] The memory 4003 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to this.

[0082] The memory 4003 is used to store the application code (computer program) for executing the solution of the present invention, and the execution is controlled by the processor 4001. The processor 4001 is used to execute the application code stored in the memory 4003 to implement the content shown in the above method embodiment.

[0083] Among them, the electronic device can also be a terminal device, and the terminal device can be any terminal device that can install applications and access web pages through applications, including at least one of a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, a smart TV, and a smart car device.

[0084] It should be noted that Figure 3 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0085] A computer-readable storage medium according to an embodiment of the present invention stores a computer program, and when the computer program is executed by a processor, any of the above-mentioned electronic perimeter data management methods is implemented.

[0086] Optionally, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0087] In an exemplary embodiment, a computer program product or a computer program is also provided, the computer program product or the computer program includes computer instructions, the computer instructions are stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the electronic device performs the above-mentioned electronic perimeter data management method.

[0088] Computer program code for performing the operations of the present invention may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0089] It should be understood that the flow charts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the module, the program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a sequence different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0090] The computer-readable storage medium provided by the embodiment of the present invention may be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or component, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or component.

[0091] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device executes the method shown in the above embodiment.

[0092] The above description is only a preferred embodiment of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the disclosure scope involved in the present invention is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present invention (but not limited to) by each other.

[0093] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects and represent the definition of a specific order or sequence. The order of use of similar objects can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than the order shown or described.

[0094] Those skilled in the art know that the present invention can be implemented as a system, method or computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), or it can be a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" herein. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code.

[0095] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An electronic perimeter data management method, characterized in that: include: Determine a target electronic perimeter corresponding to the construction area, and obtain multiple types of target perimeter data associated with the target electronic perimeter; Using the data analysis model corresponding to each type of target perimeter data, data analysis is performed on each type of target perimeter data to obtain data analysis results corresponding to multiple types of target perimeter data; A decision suggestion for the target electronic perimeter is generated according to a data analysis result corresponding to at least one type of target perimeter data.

2. The electronic perimeter data management method according to claim 1, characterized in that: Various types of target perimeter data include: construction perimeter data, substation basic data, crane operation data, perimeter alarm data, safety officer data and driver data.

3. The electronic perimeter data management method according to claim 1, characterized in that: The data analysis model includes: at least one of a time series analysis model, a machine learning model, and a cluster analysis model.

4. The electronic perimeter data management method according to claim 2, characterized in that: The decision suggestions include: at least one of crane decision suggestions, substation decision suggestions, driver decision suggestions, safety officer decision suggestions and perimeter decision suggestions.

5. The electronic perimeter data management method according to any one of claims 1 to 4, characterized in that: The step of obtaining multiple types of target perimeter data associated with the target electronic perimeter comprises: A plurality of types of original perimeter data associated with the target electronic perimeter are acquired, and data preprocessing is performed on the plurality of types of original perimeter data respectively to obtain a plurality of types of target perimeter data associated with the target electronic perimeter.

6. An electronic perimeter data management system, characterized in that: include: Acquisition module, analysis module and decision module; The acquisition module is used to: determine the target electronic perimeter corresponding to the construction area, and acquire multiple types of target perimeter data associated with the target electronic perimeter; The analysis module is used to: use the data analysis model corresponding to each type of target perimeter data to perform data analysis on each type of target perimeter data, and obtain data analysis results corresponding to multiple types of target perimeter data; The decision module is used to generate a decision suggestion for the target electronic perimeter according to a data analysis result corresponding to at least one type of target perimeter data.

7. The electronic perimeter data management system according to claim 6, characterized in that: Various types of target perimeter data include: construction perimeter data, substation basic data, crane operation data, perimeter alarm data, safety officer data and driver data.

8. The electronic perimeter data management system according to claim 6, characterized in that: The data analysis model includes: at least one of a time series analysis model, a machine learning model and a cluster analysis model.

9. An electronic device, characterized in that: The electronic device includes a processor, the processor is coupled to a memory, the memory stores at least one computer program, and the at least one computer program is loaded and executed by the processor so that the electronic device implements the electronic perimeter data management method as described in any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one computer program, and the at least one computer program is loaded and executed by the processor, so that the computer-readable storage medium implements the electronic perimeter data management method according to any one of claims 1 to 5.

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