Park operation and maintenance management control method, device and equipment based on artificial intelligence and storage medium

Abstract

The invention discloses a park operation and maintenance management control method and device based on artificial intelligence, equipment and a storage medium. The method comprises the steps of obtaining initial operation and maintenance data of a target park in a target time period; performing data processing on the initial operation and maintenance data to obtain target operation and maintenance data, the target operation and maintenance data comprising a device identifier or a service system identifier; and analyzing and mining the target operation and maintenance data to determine an association state between the target operation and maintenance data. And based on the association state, determining an adjustment strategy to adjust the target hardware device or the target service system based on the adjustment strategy. According to the scheme, the operation and maintenance data of the park are integrated, the association state between the operation and maintenance data is analyzed, overall control over the park is achieved, the operation and maintenance state of the park can be known more effectively, and therefore the operation and maintenance efficiency is improved, and operation and maintenance resource distribution is managed.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent park management, and particularly relates to a park operation and maintenance management control method, device, equipment and storage medium based on artificial intelligence. Background Art

[0002] With the rapid development of technology, the intelligentization of park security and operation management has become an inevitable trend in modern social development. In the field of information technology, technologies such as big data, Internet of Things, and digital twin have gradually matured and been widely applied. The big data governance platform can clean and obtain valuable information from massive data and provide standard software and hardware interfaces to provide data support for the decision-making of park security and management services; the Internet of Things technology can realize the interconnection of various devices in the park, improving the management efficiency of devices and resource utilization rate; the digital twin provides an intuitive means for park planning, monitoring and optimization by constructing real-time mapping between virtual models and physical entities; and the command and management large screen serves as a platform for centralized information display and interaction, facilitating managers to control and dispatch the overall situation of the park. Currently, each hardware supplier of intelligent parks often constructs a separate platform based on its own product system, making it difficult to achieve the interconnection and aggregation of devices. For example, security monitoring devices, environmental monitoring devices, intelligent lighting devices, etc. may come from different suppliers, and their respective management platforms are independent of each other, and data cannot be effectively shared and interacted, forming "information islands". This not only increases the complexity and cost of park management, but also restricts the improvement of the overall intelligentization level. Summary of the Invention

[0003] Aiming at the deficiencies of the prior art, the purpose of the present invention is to provide a park operation and maintenance management control method, device, equipment and storage medium based on artificial intelligence to solve the problem of low efficiency of park operation and maintenance management in the prior art.

[0004] According to one aspect of the present application, a park operation and maintenance management control method based on artificial intelligence is disclosed. The method is executed based on a park target platform controller, and the method includes:

[0005] Obtain the initial operation and maintenance data of the target park within the target time period. The initial operation and maintenance data includes first operation and maintenance data for characterizing the operation and maintenance status of each hardware device in the target park and second operation and maintenance data for characterizing the operation and maintenance status of each business system in the target park. The hardware devices and the business systems are all network-connected to the park target platform;

[0006] Perform data processing on the initial operation and maintenance data to obtain target operation and maintenance data. The target operation and maintenance data includes device identifiers or business system identifiers;

[0007] Analyze and mine the target operation and maintenance data to determine the association status among the target operation and maintenance data, where the association status includes a first association status based on the first operation and maintenance data analysis result, a second association status based on the second operation and maintenance data analysis result, or a third association status based on the first operation and maintenance data analysis result and the second operation and maintenance data analysis result.

[0008] Based on the association status, determine an adjustment strategy to adjust the target hardware device or the target business system based on the adjustment strategy.

[0009] In some embodiments, each of the hardware devices and each of the business systems have the same communication protocol and data format with the target park platform.

[0010] In some embodiments, the method further includes:

[0011] Obtain the information of each landmark in the target park, where the landmark information includes the geographical information of the target park and the attribute information of each building in the target park;

[0012] Determine 3D modeling software and data visualization software;

[0013] Based on the landmark information, the target operation and maintenance data, the 3D modeling software, and the data visualization software, construct a digital twin model, where the digital twin model displays the spatial state of the target park in three-dimensional replication simulation and the spatial state data information, and the spatial state data information includes the target operation and maintenance data.

[0014] In some embodiments, the analyzing and mining the target operation and maintenance data to determine the association status among the target operation and maintenance data includes:

[0015] When the association status includes a first association status based on the first operation and maintenance data analysis result, the method includes:

[0016] Screen out first target analysis data from the first operation and maintenance data, where the first target analysis data is the characterization data of the pre-analyzed hardware device;

[0017] Analyze and mine the first target analysis data to determine the first association status among the first target analysis data;

[0018] When the association status includes a second association status based on the second operation and maintenance data analysis result, the method includes:

[0019] Screen out second target analysis data from the second operation and maintenance data, where the second target analysis data is the characterization data of the pre-analyzed business system;

[0020] Analyze and mine the second target analysis data to determine the second association status among the second target analysis data.

[0021] In some embodiments, the analyzing and mining the target operation and maintenance data to determine the association status among the target operation and maintenance data includes

[0022] Analyze and mine the first target analysis data to determine the first analysis result;

[0023] Analyze and mine the second target analysis data to determine the second analysis result;

[0024] Based on the first analysis result and the second analysis result, determine the third association status, where the third association status is used to characterize the cross status of the pre-analyzed hardware device and the pre-analyzed business system.

[0025] In some embodiments, the determining an adjustment strategy based on the association status to adjust the target hardware device or the target business system based on the adjustment strategy includes:

[0026] Based on the first association status, determine the first target operation and maintenance status of the pre-analyzed hardware device to control the pre-analyzed hardware device to adjust based on the first target operation and maintenance status;

[0027] Or,

[0028] Based on the second association status, determine the second target operation and maintenance status of the pre-analyzed business system to control the pre-analyzed business system to adjust based on the second target operation and maintenance status;

[0029] Or,

[0030] Based on the third association status, determine the respective first cross-operation and maintenance status and second cross-operation and maintenance status of the pre-analyzed hardware device and the pre-analyzed business system in the cross status, to control the pre-analyzed hardware device to adjust based on the first cross-operation and maintenance status, and control the pre-analyzed business system to synchronously adjust based on the second cross-operation and maintenance status.

[0031] According to another aspect of the present application, a park operation and maintenance management control platform based on artificial intelligence is also disclosed. The control platform is a park target platform, and the park target platform at least includes a first display area, a second display area, and a third display area. The first display area is controlled based on touch screen operation. The second display area is used to switch the screen when the first display area is touched to display the operation and maintenance status of the target object corresponding to the first display area. The third display area is used to switch the screen when the first display area is touched to display the data status of the target object corresponding to the first display area. The target object is at least one of the hardware device, the business system, or the landmark. The screen switching is executed based on the park target platform controller.

[0032] According to another aspect of the present application, a park operation and maintenance management control device based on artificial intelligence is also disclosed. The device includes a park target platform controller and the following components that are communicatively controlled based on the park target platform controller:

[0033] An initial operation and maintenance data acquisition module, which is used to acquire the initial operation and maintenance data of the target park within a target time period. The initial operation and maintenance data includes first operation and maintenance data for characterizing the operation and maintenance status of each hardware device in the target park and second operation and maintenance data for characterizing the operation and maintenance status of each business system in the target park. Both the hardware device and the business system are network-connected to the park target platform;

[0034] A data processing module, which is used to perform data processing on the initial operation and maintenance data to obtain target operation and maintenance data. The target operation and maintenance data includes device identifiers or business system identifiers;

[0035] An analysis and mining module, which is used to analyze and mine the target operation and maintenance data to determine the association status among the target operation and maintenance data. The association status includes a first association status based on the analysis result of the first operation and maintenance data, a second association status based on the analysis result of the second operation and maintenance data, or a third association status based on the analysis results of the first operation and maintenance data and the second operation and maintenance data.

[0036] A strategy adjustment module, which is used to determine an adjustment strategy based on the association status and adjust the target hardware device or the target business system based on the adjustment strategy.

[0037] According to another aspect of the present application, an electronic device is also disclosed. The electronic device includes a memory and at least one processor. Instructions are stored in the memory; the at least one processor calls the instructions in the memory to cause the electronic device to execute each step of the artificial intelligence-based park operation and maintenance management control method as described in any one of the above.

[0038] According to another aspect of the present application, a computer-readable storage medium is also disclosed. Instructions are stored on the computer-readable storage medium, and are characterized in that when the instructions are executed by a processor, each step of the artificial intelligence-based park operation and maintenance management control method described in any one of the above is implemented.

[0039] The present invention includes but is not limited to the following beneficial effects: (1) By integrating the operation and maintenance data of the park and analyzing the correlation status between the operation and maintenance data, the overall control of the park is realized, and the operation and maintenance status of the park can be understood more effectively, thereby improving the operation and maintenance efficiency and managing the allocation of operation and maintenance resources; (2) By analyzing and mining the operation and maintenance data, possible problems can be predicted, and early warnings can be given in advance to reduce losses caused by sudden problems, thereby improving the service quality of the entire park; (3) Through automated data processing and analysis, the intervention of manual labor can be reduced, thereby reducing the operation and maintenance costs; (4) By unifying the communication protocol and data format, new devices or systems can be integrated into the platform without customizing interfaces or converters for each device or system, realizing the unification of platform data while simplifying the device structure; (5) By constructing a digital twin model, the situation of the actual park can be simulated in a three-dimensional space, improving the perception ability of the park space state, helping to more accurately understand the operation and maintenance status of devices and business systems, and thus making corresponding decisions in advance based on the operation and maintenance status, thereby improving the operation and maintenance control efficiency and accuracy; (6) By screening and analyzing the operation and maintenance data, these data can be utilized more effectively, improving the data utilization efficiency, and by analyzing the correlation status between the operation and maintenance data, potential problems can be discovered earlier, improving the early warning ability; (7) The control platform of the present solution can display the corresponding operation and maintenance status and data status through screen switching, enabling operation and maintenance personnel to more comprehensively understand the status of devices or systems, improving user decision-making. Further, touch screen operation and screen switching enhance the interactivity between the user and the platform, improving the user experience, and the platform can dynamically display information according to the needs and operations of the user, enhancing the flexibility of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art.

[0041] Figure 1 is a flowchart of an artificial intelligence-based park operation and maintenance management control method according to an embodiment of the present application;

[0042] Figure 2 is another flowchart of an artificial intelligence-based park operation and maintenance management control method according to an embodiment of the present application;

[0043] Figure 3It is another flowchart of the park operation and maintenance management control method based on artificial intelligence according to the embodiments of the present application;

[0044] Figure 4 It is another flowchart of the park operation and maintenance management control method based on artificial intelligence according to the embodiments of the present application;

[0045] Figure 5 It is a schematic diagram of the digital twin display platform of the park operation and maintenance management control platform based on artificial intelligence according to the embodiments of the present application;

[0046] Figure 6 It is a structural block diagram of the park operation and maintenance management control device based on artificial intelligence according to the embodiments of the present application;

[0047] Figure 7 It is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. Specific embodiments

[0048] The embodiments of the present invention provide a park operation and maintenance management control method based on artificial intelligence. The method is executed based on a park target platform controller, and the method includes: obtaining initial operation and maintenance data of a target park within a target time period. The initial operation and maintenance data includes first operation and maintenance data for characterizing the operation and maintenance status of each hardware device in the target park and second operation and maintenance data for characterizing the operation and maintenance status of each business system in the target park. The hardware devices and the business systems are all network-connected to the park target platform; performing data processing on the initial operation and maintenance data to obtain target operation and maintenance data, where the target operation and maintenance data includes device identifiers or business system identifiers; analyzing and mining the target operation and maintenance data to determine the association status between the target operation and maintenance data. The association status includes a first association status based on the analysis result of the first operation and maintenance data, a second association status based on the analysis result of the second operation and maintenance data, or a third association status based on the analysis results of the first operation and maintenance data and the second operation and maintenance data. Based on the association status, a adjustment strategy is determined to adjust the target hardware device or the target business system based on the adjustment strategy. This solution integrates the operation and maintenance data of the park, analyzes the association status between the operation and maintenance data, realizes the overall control of the park, can more effectively understand the operation and maintenance status of the park, and thus improves the operation and maintenance efficiency and manages the allocation of operation and maintenance resources.

[0049] In the description and claims of the present invention and the above-mentioned drawings, the terms "first", "second", "third", "fourth", etc. (if any) are used to distinguish similar objects and do not necessarily describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances so that the embodiments described herein can be implemented in an order different from that shown or described herein. In addition, the term "comprising" or "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0050] For ease of understanding, the specific process of the embodiments of the present invention will be described below. Specifically, Figure 1 FIG. is a flowchart of a method for managing and controlling the operation and maintenance of a park based on artificial intelligence according to the present application. The steps include:

[0051] S100. Obtain the initial operation and maintenance data of the target park within the target time period.

[0052] In one example, the initial operation and maintenance data includes first operation and maintenance data for characterizing the operation and maintenance status of each hardware device in the target park and second operation and maintenance data for characterizing the operation and maintenance status of each business system in the target park. Both the hardware devices and the business systems are connected to the park target platform through a network; wherein, the hardware devices in the target park may include but are not limited to security equipment (such as cameras, access control systems), environmental monitoring equipment (such as temperature and humidity sensors, air quality monitors), etc., and the first operation and maintenance data may include but are not limited to equipment operation data (such as equipment status, operation time, fault records), environmental data (such as temperature, humidity, light intensity), etc. The business system may include but is not limited to a rental management system, a contract management system, an OA management system, a financial management system, a talent management system, an equipment management system, a property management system, a personnel information recording system, etc., and the second operation and maintenance data may include but are not limited to rental contracts, equipment maintenance contracts, personnel working hours, employee IDs, entry and exit records, etc. Among them, the park rental management system is responsible for the allocation of space resources and docking with tenants; the contract management system manages the standardized signing, execution and archiving of various agreements; and the OA management builds an efficient office automation process to improve the efficiency of internal communication and collaboration. Financial management controls the income and expenditure of park funds, budget preparation and cost control, and provides economic guarantees for operations. The talent management system focuses on the introduction, training and retention of talents to build the intellectual capital of the park. The equipment management system maintains, updates and monitors the operation of the park's facilities and equipment to ensure normal operation. The property management system focuses on basic services such as environmental sanitation, security and fire protection to create a comfortable and safe park environment. All links are interrelated and synergistic, jointly promoting the orderly and efficient development of the park's operations and enhancing the overall competitiveness and sustainable development capabilities of the park.

[0053] The collected data can be stored in a data storage system for subsequent processing and analysis. The data storage system may include relational databases, non-relational databases, distributed file systems, etc. The specific type of storage system to be selected depends on the type, size and usage scenario of the data.

[0054] S102: Process the initial operation and maintenance data to obtain target operation and maintenance data.

[0055] Among them, the target operation and maintenance data includes equipment identification or business system identification. It is understandable that due to the diversity of data sources, the collected raw data may contain some erroneous, duplicated or inconsistent information. Therefore, it is necessary to clean the data, including identifying and fixing errors, deleting duplicate records, unifying inconsistent data formats, etc. In the cleaned data, there may be some information that can be associated. For example, a person's entry and exit records and the records of the equipment he uses can be associated to provide richer information. Data integration is to associate related data through certain algorithms to form a unified view.

[0056] S104. Analyze and mine the target operation and maintenance data to determine the association status among the target operation and maintenance data.

[0057] In one example, data mining algorithms, such as clustering algorithms, can be used to deeply analyze the integrated data to discover potential patterns and trends, providing decision-making support for the management and operation of the park. Among them, the association status can include a first association status based on the first operation and maintenance data analysis result, a second association status based on the second operation and maintenance data analysis result, or a third association status based on the first operation and maintenance data analysis result and the second operation and maintenance data analysis result. Exemplarily, if it is necessary to understand the personnel flow pattern in the park, a clustering analysis algorithm can be used to group the behaviors of personnel. For example, personnel can be clustered according to factors such as their movement paths in the park, stay times, and frequently visited areas, obtaining the second association status: for example, some groups are more inclined to visit the cafeteria around lunchtime, or some groups are more inclined to use the library at night. Further, in another example, for instance, after clustering analysis, when it is found that the pedestrian flow in a certain area increases, the usage rates of some corresponding devices in that area will also increase, such as printers or elevators, thus obtaining the third association status. In yet another example, if the first association status that the usage rate of a certain device gradually increases is analyzed, it may mean that this device may require more frequent maintenance in the future.

[0058] S106. Based on the association status, determine an adjustment strategy to adjust the target hardware device or the target business system based on the adjustment strategy.

[0059] Exemplarily, continuing with the above-obtained second association status as an example, the adjustment strategy can be to guide the park personnel to dine at different times to avoid peak hours in the cafeteria, reduce queuing time, and improve the dining experience. Further, extend the opening hours of the library at night to improve the reading experience. Further, continuing with the above-obtained third association status as an example, the adjustment strategy can be to increase printer devices or turn on the freight elevator during peak hours. Further, continuing with the above-obtained first association status as an example, the adjustment strategy can be to pay timely attention to the maintenance time of this device and shorten the maintenance time between adjacent times.

[0060] The application solution integrates the operation and maintenance data of the park, analyzes the association status among the operation and maintenance data, realizes the overall control of the park, can more effectively understand the operation and maintenance status of the park, thereby improving the operation and maintenance efficiency and managing the operation and maintenance resource allocation; through the analysis and mining of the operation and maintenance data, potential problems can be predicted, so as to give early warnings in advance and reduce the losses caused by sudden problems, thereby improving the service quality of the entire park; through automated data processing and analysis, the intervention of personnel can be reduced, thereby reducing the operation and maintenance costs.

[0061] Furthermore, the same communication protocol and data format are adopted between each hardware device and each business system and the target park platform. It can be understood that in the Internet of Things (IoT), various devices (such as sensors, cameras, smart devices, etc.) usually come from different manufacturers, and they may use different communication protocols and data formats. Without a unified standard, each device needs to be integrated and configured separately, which will greatly increase the complexity and cost of system implementation. The unified communication protocol and data format standard is to solve this problem. The communication protocol defines how devices exchange data, such as data sending and receiving rules, error detection and correction mechanisms, etc. The data format standard defines the structure and content of data, such as data representation methods, encoding methods, etc. By formulating a unified communication protocol and data format standard, devices from different hardware suppliers can be seamlessly docked, and even devices from different manufacturers can communicate and exchange data with each other. This greatly reduces the complexity and cost of device integration, and at the same time provides the possibility of interoperability between devices. By unifying the communication protocol and data format, integrating new devices or systems into the platform does not require customizing interfaces or converters for each device or system, realizing the unification of platform data while simplifying the device structure.

[0062] Furthermore, Figure 2 Another flowchart of the park operation and maintenance management control method based on artificial intelligence in this application is shown in Figure 2 , including the following steps:

[0063] S200. Obtain the information of each landmark in the target park.

[0064] Among them, the landmark information includes the geographical information of the target park and the attribute information of each building in the target park. The geographical information includes but is not limited to the geographical coordinates of the park (such as longitude and latitude), area, surrounding environment, etc., and the attribute information of each building includes but is not limited to the type of building (such as office building, laboratory, entertainment facility, etc.), location, area, design style, construction year, etc.

[0065] S202. Determine the 3D modeling software and data visualization software.

[0066] Among them, the 3D modeling software is a tool used to create three-dimensional models, and these models can include buildings, product designs, movie animations, etc. The 3D modeling software can include any one of but is not limited to Autodesk Maya, 3DS Max, Blender, SketchUp, etc. The data visualization software is a tool used to convert data into graphics or images, making the data easier to understand and analyze. The data visualization software can include Tableau, Power BI, D3.js, etc.

[0067] S204. Based on each marker information, target operation and maintenance data, 3D modeling software, and data visualization software, construct a digital twin model.

[0068] Specifically, based on each marker information, first construct a 3D model from the target operation and maintenance data, and this 3D model is used to reflect the physical layout and attributes of the target park. Further, based on data mapping, integrate the collected operation and maintenance data into the constructed 3D model. For example, map the energy consumption data to the corresponding building, or map the device status data to the corresponding device. Further, use data visualization software to display the model and data. Thus, obtain a digital twin model of the spatial state and spatial state data information of the target park with 3D replication simulation. The digital twin model shows that the spatial state data information includes the target operation and maintenance data.

[0069] Further, Figure 3 This is another flowchart of the park operation and maintenance management and control method based on artificial intelligence in this application. Refer to Figure 3 , this flowchart is an exemplary illustration of step S104, including the following steps:

[0070] S300. Screen out the first target analysis data from the first operation and maintenance data.

[0071] Specifically, the first target analysis data is the characterization data of the hardware device to be pre-analyzed. That is, screen out the data of the hardware device to be analyzed from the first operation and maintenance data as the first target analysis data.

[0072] S302. Analyze and mine the first target analysis data to determine the first optical association state between the first target analysis data.

[0073] Analyze the first target analysis data to determine the association state between the first target analysis data and the device to be analyzed. For example, when the printing times in the first target analysis data increase concentratedly, it indicates that the first association state is that the usage rate of a certain device such as a printing device gradually increases as mentioned in the previous text.

[0074] S304. Screen out the second target analysis data from the second operation and maintenance data.

[0075] Specifically, the second target analysis data is the characterization data of the business system to be pre-analyzed. That is, screen out the data of the business system to be analyzed from the second operation and maintenance data as the second target analysis data.

[0076] S306. Analyze and mine the second target analysis data to determine the second association state between the second target analysis data.

[0077] Analyze the second target analysis data to determine the association status between the second target analysis data and the business system to be analyzed. For example, the second association status obtained based on the action path, stay time, and frequent locations mentioned above for analyzing the personnel management system.

[0078] Furthermore, Figure 4 This is another flowchart of the park operation and maintenance management control method based on artificial intelligence in this application. Refer to Figure 4 This flowchart is a further exemplary illustration of step S104 and includes the following steps:

[0079] S400. Analyze and mine the first target analysis data to determine the first analysis result.

[0080] S402. Analyze and mine the second target analysis data to determine the second analysis result.

[0081] S404. Based on the first analysis result and the second analysis result, determine the third association status, where the third association status is used to characterize the cross status of the pre-analyzed hardware device and the pre-analyzed business system.

[0082] Specifically, this solution can be understood by referring to the example introduced above. For example, after clustering analysis, when it is found that the number of people in a certain area increases, the usage rates of some corresponding devices in that area, such as printers or elevators, will also increase, thereby obtaining the third association status.

[0083] Furthermore, this solution also provides a park operation and maintenance management control platform. The control platform is the park target platform, and the park target platform at least includes a first display area, a second display area, and a third display area. The first display area is controlled based on touch screen manipulation. The second display area is used to switch the screen when the first display area is touched to display the operation and maintenance status of the target corresponding to the first display area. The third display area is used to switch the screen when the first display area is touched to display the data status of the target corresponding to the first display area. The target is at least one of a hardware device, a business system, or a landmark. The screen switching is executed based on the park target platform controller. Specifically, as Figure 5 shown, it is an example platform for the digital twin display of the park operation and maintenance management control platform.

[0084] Furthermore, according to one aspect of this application, an artificial intelligence-based park operation and maintenance management control device is also disclosed. As Figure 6 shown, the device includes:

[0085] An initial operation and maintenance data acquisition module is used to acquire the initial operation and maintenance data of a target park within a target time period. The initial operation and maintenance data includes first operation and maintenance data for characterizing the operation and maintenance status of each hardware device in the target park and second operation and maintenance data for characterizing the operation and maintenance status of each business system in the target park. The hardware devices and business systems are all network-connected to the target platform of the park;

[0086] A data processing module is used to process the initial operation and maintenance data to obtain target operation and maintenance data. The target operation and maintenance data includes device identifiers or business system identifiers;

[0087] An analysis and mining module is used to analyze and mine the target operation and maintenance data to determine the association status among the target operation and maintenance data. The association status includes a first association status based on the analysis result of the first operation and maintenance data, a second association status based on the analysis result of the second operation and maintenance data, or a third association status based on the analysis results of the first operation and maintenance data and the second operation and maintenance data.

[0088] A policy adjustment module is used to determine an adjustment policy based on the association status to adjust the target hardware device or target business system based on the adjustment policy.

[0089] For the application introduction of the relevant modules of the device in this example, reference can be made to the relevant introduction of the above method principle, which will not be elaborated here.

[0090] According to another aspect of the present application, the present application also discloses an electronic device. The electronic device includes a memory and at least one processor. Instructions are stored in the memory; the at least one processor calls the instructions in the memory to enable the electronic device to execute each step of the above-mentioned park operation and maintenance management and control method based on artificial intelligence.

[0091] Above Figure 6 The park operation and maintenance management and control device based on artificial intelligence in the embodiments of the present invention is described in detail from the perspective of modular functional entities. Next, the electronic device in the embodiments of the present invention will be described in detail from the perspective of hardware processing.

[0092] Figure 7FIG. 0 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. The electronic device 700 may vary greatly due to different configurations or performances, and may include one or more central processing units (CPUs) 710 (for example, one or more processors) and a memory 720, and one or more storage media 730 (for example, one or more mass storage devices) storing application programs 733 or data 732. Among them, the memory 720 and the storage media 730 may be transient storage or persistent storage. The program stored in the storage media 730 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations on the electronic device 700. Further, the processor 710 may be configured to communicate with the storage media 730 and execute a series of instruction operations in the storage media 730 on the electronic device 700.

[0093] The electronic device 700 may further include one or more power supplies 740, one or more wired or wireless network interfaces 750, one or more input / output interfaces 750, and / or one or more operating systems 731, such as Windows Serve, Mac OS X, Unix, Linux, FreeBSD, and so on. Those skilled in the art can understand that Figure 7 the shown structure of the electronic device does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure, or combine some components, or have different component arrangements.

[0094] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions run on a computer, the computer is caused to execute the steps of the park operation and maintenance management control method based on artificial intelligence.

[0095] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described system or device and unit can refer to the corresponding processes in the foregoing method embodiments, and will not be described herein again.

[0096] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0097] In the above, the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A park operation and maintenance management and control method based on artificial intelligence, characterized in that: The method is executed based on a park target platform controller, and the method includes: Acquire initial operation and maintenance data of the target park within the target time period, the initial operation and maintenance data including first operation and maintenance data for characterizing the operation and maintenance status of each hardware device in the target park and second operation and maintenance data for characterizing the operation and maintenance status of each business system in the target park, the hardware devices and the business systems are both connected to the park target platform through a network; Processing the initial operation and maintenance data to obtain target operation and maintenance data, wherein the target operation and maintenance data includes a device identifier or a business system identifier; The target operation and maintenance data are analyzed and mined to determine the association status between each target operation and maintenance data, wherein the association status includes a first association status based on the analysis result of the first operation and maintenance data, a second association status based on the analysis result of the second operation and maintenance data, or a third association status based on the analysis result of the first operation and maintenance data and the analysis result of the second operation and maintenance data. Based on the association status, an adjustment strategy is determined to adjust the target hardware device or the target business system based on the adjustment strategy.

2. The park operation and maintenance management and control method based on artificial intelligence according to claim 1 is characterized in that: Each of the hardware devices and each of the business systems has the same communication protocol and data format as the target park platform.

3. The park operation and maintenance management and control method based on artificial intelligence according to claim 1 is characterized in that: The method further comprises: Acquire information of each landmark of the target park, wherein the landmark information includes geographic information of the target park and attribute information of each building in the target park; Identify 3D modeling software and data visualization software; Based on the marker information, the target operation and maintenance data, the 3D modeling software and the data visualization software, a digital twin model is constructed. The digital twin model displays the spatial state of the target park simulated in three dimensions and the spatial state data information. The spatial state data information includes the target operation and maintenance data.

4. The park operation and maintenance management and control method based on artificial intelligence according to claim 1 is characterized in that: The analyzing and mining the target operation and maintenance data to determine the association status between the target operation and maintenance data includes: When the association state includes a first association state based on a first operation and maintenance data analysis result, the method includes: Filtering out first target analysis data from the first operation and maintenance data, wherein the first target analysis data is characterization data of a pre-analysis hardware device; Analyze and mine the first target analysis data to determine a first correlation state between the first target analysis data; When the association state includes a second association state based on a second operation and maintenance data analysis result, the method includes: Filtering out second target analysis data from the second operation and maintenance data, wherein the second target analysis data is characterization data of a pre-analysis business system; Analyze and mine the second target analysis data to determine a second association state between the second target analysis data.

5. The park operation and maintenance management and control method based on artificial intelligence according to claim 4 is characterized in that: The analyzing and mining of the target operation and maintenance data to determine the association status between each target operation and maintenance data includes: Analyze and mine the first target analysis data to determine a first analysis result; Analyze and mine the second target analysis data to determine a second analysis result; Based on the first analysis result and the second analysis result, a third association state is determined, where the third association state is used to characterize a cross state between the pre-analysis hardware device and the pre-analysis business system.

6. The park operation and maintenance management control platform based on artificial intelligence according to claim 5 is characterized in that: The step of determining an adjustment strategy based on the association state, so as to adjust the target hardware device or the target business system based on the adjustment strategy, comprises: Based on the first association state, determining a first target operation and maintenance state of the pre-analysis hardware device to control the pre-analysis hardware device to adjust based on the first target operation and maintenance state; or, Based on the second association state, determining a second target operation and maintenance state of the pre-analysis business system to control the pre-analysis business system to adjust based on the second target operation and maintenance state; or, Based on the third association state, determine the first cross-operation and maintenance state and the second cross-operation and maintenance state corresponding to the pre-analysis hardware device and the pre-analysis business system in the cross state, so as to control the pre-analysis hardware device to adjust based on the first cross-operation and maintenance state, and control the pre-analysis business system to synchronously adjust based on the second cross-operation and maintenance state.

7. An artificial intelligence-based park operation and maintenance management and control platform, characterized in that: The control platform is a park target platform, which includes at least a first display area, a second display area and a third display area. The first display area is controlled based on touch screen operation. The second display area is used to switch the screen when the first display area is touched to display the operation and maintenance status of the target object corresponding to the first display area. The third display area is used to switch the screen when the first display area is touched to display the data status of the target object corresponding to the first display area. The target object is at least one of the hardware device, the business system or the landmark, and the screen switching is executed based on the park target platform controller.

8. A park operation and maintenance management control device based on artificial intelligence, characterized in that: The device includes a park target platform controller and: An initial operation and maintenance data acquisition module is used to acquire initial operation and maintenance data of a target park within a target time period, wherein the initial operation and maintenance data includes first operation and maintenance data for characterizing the operation and maintenance status of each hardware device in the target park and second operation and maintenance data for characterizing the operation and maintenance status of each business system in the target park, wherein both the hardware device and the business system are connected to the park target platform through a network; A data processing module, used to process the initial operation and maintenance data to obtain target operation and maintenance data, wherein the target operation and maintenance data includes a device identifier or a business system identifier; An analysis and mining module is used to analyze and mine the target operation and maintenance data to determine the association status between each target operation and maintenance data, wherein the association status includes a first association status based on the analysis result of the first operation and maintenance data, a second association status based on the analysis result of the second operation and maintenance data, or a third association status based on the analysis result of the first operation and maintenance data and the analysis result of the second operation and maintenance data. The policy adjustment module is used to determine an adjustment policy based on the association state, so as to adjust the target hardware device or the target business system based on the adjustment policy.

9. An electronic device, characterized in that: The electronic device includes a memory and at least one processor, and instructions are stored in the memory; the at least one processor calls the instructions in the memory so that the electronic device executes each step of the artificial intelligence-based campus operation and maintenance management and control method as described in any one of claims 1-7.

10. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed by the processor, the various steps of the park operation and maintenance management and control method based on artificial intelligence as described in any one of claims 1 to 7 are implemented.

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