Intelligent charging management method and system based on digital twin city application

Abstract

The embodiment of the invention provides an intelligent charging management method and system based on digital twin city application, and relates to the technical field of technologies. The method comprises the following steps: acquiring urban charging equipment information, and acquiring urban geographic information through a GIS (Geographic Information System); constructing a digital twin city model based on the city geographic information; performing association fusion processing on the digital twin city model and the city charging equipment information to obtain a city charging model; and based on the city charging model, carrying out visual display on the obtained real-time charging equipment information. According to the invention, the problem that the cooperation degree of the charging data and other city management system data is low is solved, and the effects of improving the cooperation degree of the charging data and other city management system data and improving the charging efficiency are achieved.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of charging management, and specifically, to a smart charging management method and system based on digital twin city applications. Background Art

[0002] With the acceleration of urbanization and the popularity of electric vehicles (EVs), cities are facing growing demand for charging.

[0003] However, the current management of charging equipment such as charging piles is still based on manual inspections and power grid monitoring. The data of charging stations are often isolated, making it difficult to share and coordinate data with other city management systems. There is a lack of real-time equipment usage monitoring and optimization, resulting in energy waste and low energy efficiency. Summary of the invention

[0004] An embodiment of the present invention provides a smart charging management method and system based on digital twin city applications, so as to at least solve the problem of low coordination between charging data and other city management system data in related technologies.

[0005] According to one embodiment of the present invention, a smart charging management method based on a digital twin city application is provided, which is applied to a city smart charging management platform, including:

[0006] Obtain information about charging equipment in the city and obtain city geographic information through GIS;

[0007] Building a digital twin city model based on the urban geographic information;

[0008] Associating and fusing the digital twin city model with the city charging equipment information to obtain a city charging model;

[0009] Based on the city charging model, real-time charging equipment information is obtained and displayed visually.

[0010] In an exemplary embodiment, after obtaining real-time charging equipment information based on the city charging model and visually displaying it, the method further includes:

[0011] Performing status calculation on the real-time charging equipment information, and feeding back the status calculation result to the city charging model;

[0012] The state calculation result is visualized through the city charging model.

[0013] In an exemplary embodiment, after calculating the status of the real-time charging device information, the method further includes:

[0014] Determine the charging demand prediction and load prediction corresponding to the state calculation result through a preset first model;

[0015] Determine a charging scheduling strategy according to the charging demand forecast and the load forecast;

[0016] The power resource is dispatched according to the charging dispatching strategy.

[0017] In an exemplary embodiment, the performing state calculation on the real-time charging device information includes:

[0018] Performing two-dimensional encoding on the real-time charging device information to obtain first device data;

[0019] Normalizing the first device data, and constructing the normalized processing result into a device data matrix;

[0020] Performing correlation calculation on the device data matrix to obtain a correlation value;

[0021] When the correlation value is within a preset range, it is determined that the charging device is in a normal state, otherwise it is determined to be abnormal.

[0022] In an exemplary embodiment, after obtaining real-time charging equipment information based on the city charging model and visually displaying it, the method further includes:

[0023] Obtaining a management instruction, wherein the management instruction includes a charging device management instruction or a system management instruction;

[0024] Based on the management instruction, a management model and the several management information tags are generated, where the management information tags are used to indicate corresponding management information.

[0025] According to another embodiment of the present invention, a smart charging management system based on a digital twin city application is provided, which is applied to a city smart charging management platform, including:

[0026] Information collection module, used to obtain information about urban charging equipment and obtain urban geographic information through GIS;

[0027] A digital twin model construction module, used to construct a digital twin city model based on the city geographic information;

[0028] An association and fusion module, used for associating and fusing the digital twin city model with the city charging equipment information to obtain a city charging model;

[0029] The display module is used to obtain real-time charging equipment information for visual display based on the city charging model.

[0030] In an exemplary embodiment, the city smart charging management platform includes:

[0031] A load balancing module, connected to the city charging equipment, for load balancing adjustment of the city charging equipment;

[0032] A charging pile server, connected to the load balancing module, and configured to receive balancing feedback information from the load balancing module;

[0033] A database, connected to the charging pile server, for receiving and feeding back data from the charging pile server;

[0034] The network server is used to receive network information from a network device, wherein the network device includes at least any one of a mobile payment terminal, a PC terminal, and a service number.

[0035] In an exemplary embodiment, the system further comprises:

[0036] A state calculation module, configured to perform state calculation on the real-time charging equipment information after visually displaying the acquired real-time charging equipment information based on the city charging model, and feed back the state calculation result to the city charging model;

[0037] A visualization display module is used to visualize the state calculation result through the city charging model.

[0038] According to yet another embodiment of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the steps of any one of the above method embodiments when run.

[0039] According to yet another embodiment of the present invention, there is provided an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0040] Through the present invention, by integrating charging data with digital twin city data, charging data can be coordinated with other city management system data, thereby facilitating real-time monitoring of charging data and improving energy management efficiency and utilization efficiency. Therefore, the problem of low coordination between charging data and other city management system data can be solved, thereby achieving the effect of improving data system rate and energy management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 is a flow chart of a smart charging management method based on a digital twin city application according to an embodiment of the present invention;

[0042] Figure 2 is a schematic diagram of a model according to a specific embodiment of the present invention;

[0043] Figure 3 is a management model 1 according to a specific embodiment of the present invention;

[0044] Figure 4 is management model 2 according to a specific embodiment of the present invention;

[0045] Figure 5 It is a structural block diagram of a smart charging management system based on a digital twin city application according to an embodiment of the present invention;

[0046] Figure 6 is a system diagram according to a specific embodiment of the present invention. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present application will be described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0048] In the following, the terms "first", "second", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", etc. may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0049] In addition, in the present application, directional terms such as "up", "down", "left" and "right" may be defined including but not limited to the orientation relative to the schematic placement of the components in the drawings. It should be understood that these directional terms may be relative concepts, which are used for relative description and clarification, and may change accordingly according to the change in the orientation of the components in the drawings.

[0050] In this application, unless otherwise specified or limited, the term "connection" should be understood in a broad sense. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a direct connection or an indirect connection through an intermediate medium. In addition, the term "coupling" can be a way of achieving electrical connection for signal transmission.

[0051] As used herein, "about," "substantially," or "approximately" includes the stated value and an average value that is within an acceptable range of variation from the particular value as determined by one of ordinary skill in the art taking into account the measurements in question and the errors associated with the measurement of the particular quantity (i.e., the limitations of the measurement system).

[0052] In this embodiment, a smart charging management method based on digital twin city application is provided. Figure 1 is a flow chart of a smart charging management method based on a digital twin city application according to an embodiment of the present invention, which is applied to a smart charging management platform for a city. Figure 1 As shown, the process includes the following steps:

[0053] Step S11, obtaining city charging equipment information and obtaining city geographic information through GIS;

[0054] In this embodiment, the city charging equipment and city geographic information are obtained to facilitate the integration of the charging equipment information and the city geographic information, thereby facilitating effective management of the charging equipment.

[0055] Among them, urban geographic information includes (but not limited to) the coordinates, type and model, area, height, construction year, management unit, quantity, transportation network and monitoring results of natural geography such as administrative communities, buildings, pedestrians or residents, vehicles (motor vehicles or non-motor vehicles), various outdoor equipment for public lighting, lakes and forests; urban charging equipment information includes (but not limited to) the coordinates, type, current and voltage conditions, number of charging ports, surrounding traffic conditions, accessibility analysis, usage status of charging equipment, maintenance records, fault reports and other information of charging piles or charging stations; it should be noted that urban geographic information and urban charging equipment information can be collected through sensors deployed in various areas and systems and obtained through manual scanning, and the flexibility of data collection can be improved by combining equipment detection with manual scanning.

[0056] Step S12, constructing a digital twin city model based on the city geographic information;

[0057] In this embodiment, after obtaining various types of urban information data, the various types of urban information data are pre-processed and integrated such as cleaning and formatting, and then a digital twin city three-dimensional model is constructed through model construction technologies such as BIM and CIM, and relevant data are annotated on the corresponding three-dimensional model structure. At the same time, real-time dynamic simulation of the distribution of population, traffic, etc. is performed through neural networks, and the simulation results are also annotated to form a spatiotemporal perception network for urban safety management.

[0058] Step S13, associating and fusing the digital twin city model with the city charging equipment information to obtain a city charging model;

[0059] In this embodiment, the city model is integrated with the charging equipment information, so that the charging equipment situation can be intuitively understood by observing the city model, thereby providing an analysis basis for the selection of charging equipment and the energy dispatch of the power grid.

[0060] For example, by analyzing electricity price policies and consumer behaviors in different regions, electricity price information can be associated with geographic location to provide car owners with location-based electricity price comparisons and selection recommendations. On the map interface of the digital twin city model, the electricity price label of each charging station can be dynamically updated based on real-time electricity price information. At the same time, the action path of the charging station can be marked according to the car owner's historical path, thereby helping car owners make economical and efficient charging decisions.

[0061] Step S14: Based on the city charging model, the real-time charging equipment information is obtained and displayed visually.

[0062] In this embodiment, if Figure 2 As shown in the figure, the locations of all charging stations and charging piles are marked on the map of the digital twin city, and different colors or icons are used to indicate the status of the charging piles (such as idle, in use, faulty, etc.). The real-time data of the charging piles is displayed through the corresponding model, such as the current charging vehicle, charging power, expected idle time, etc. At the same time, the usage data of the charging piles is analyzed to predict peak hours and idle hours, helping users plan their charging time.

[0063] Through the above steps, by integrating the charging data with the digital twin city data, the charging data can be coordinated with other city management system data, thereby facilitating real-time monitoring of the charging data, improving energy management efficiency and utilization efficiency, solving the problem of low coordination between the charging data and other city management system data, and improving the data system rate and energy management efficiency.

[0064] The execution subject of the above steps may be a base station, a terminal, etc., but is not limited thereto.

[0065] In an optional embodiment, after obtaining real-time charging equipment information based on the city charging model and visually displaying it, the method further includes:

[0066] Step S15, performing status calculation on the real-time charging equipment information, and feeding back the status calculation result to the city charging model;

[0067] Step S16: Visually display the status calculation result through the city charging model.

[0068] In this embodiment, in order to facilitate the management of charging equipment, the neural network model can be used to analyze the charging times, charging time, charging payment amount, charging power and other information of the charging equipment, and the results can be visualized, especially the abnormal status can be highlighted (such as Figure 2 As shown), the administrator can be informed in time to handle the abnormal charging equipment in time.

[0069] In an optional embodiment, after calculating the state of the real-time charging device information, the method further includes:

[0070] Step S151, determining a charging demand forecast and a load forecast corresponding to the state calculation result by using a preset first model;

[0071] Step S152, determining a charging scheduling strategy according to the charging demand forecast and the load forecast;

[0072] Step S153: scheduling electric power resources according to the charging scheduling strategy.

[0073] In this embodiment, after determining the status of the charging equipment, for normal equipment, power scheduling is performed based on the charging demand of the surrounding area predicted in advance by the neural network to meet the relevant power demand; at the same time, for abnormal equipment, power scheduling is also performed to avoid power waste or disasters caused by abnormal equipment.

[0074] Among them, the first model can be a model of machine learning or statistical methods, such as a decision tree model, a CNN model, etc., and the LSTM long short-term memory model including spatiotemporal prediction is adopted here; the charging scheduling strategy is determined in advance based on the priority and load capacity of the region and charging equipment. After determining the status of the relevant equipment, the charging strategy is selected according to the status.

[0075] In an optional embodiment, the performing state calculation on the real-time charging device information includes:

[0076] Step S154, performing two-dimensional encoding on the real-time charging device information to obtain first device data;

[0077] Step S155, normalizing the first device data, and constructing the normalized processing result into a device data matrix;

[0078] Step S156, performing correlation calculation on the device data matrix to obtain a correlation value;

[0079] Step S157, when the correlation value is within a preset range, determining that the charging device is in a normal state, otherwise determining that the charging device is in an abnormal state.

[0080] In this embodiment, under normal circumstances, since the electricity charges and the transmission equipment are specific, the data such as the number of charging times, charging amount, payment amount, etc. of the charging equipment are strongly correlated, and therefore their correlation is predictable. At this time, these data are matrixed and converted into a data matrix, and the correlation value of the matrix should be within the preset range. If it is not within the range, it means that abnormal data exists.

[0081] For example, to get the device data matrix H: Then, the correlation value of the matrix is ​​calculated based on the Pearson correlation coefficient (assuming it is 0.65). When the correlation value is within the preset range (assuming it is 0.4-0.8), it means that the data is normal, otherwise it is abnormal, and so on.

[0082] In particular, after the two-dimensional code is matched, the two-dimensional code can be converted into a decimal value and normalized twice. The normalized value is used as its gray value, and then the pixels are filled in the preset canvas according to the gray value. Then, the neural network is used to calculate the rationality probability of the image composed of pixels (which can be calculated by the softmax function). When the probability value is within the preset range, it means that the data is normal, otherwise it is determined to be abnormal.

[0083] In an optional embodiment, after obtaining real-time charging equipment information based on the city charging model and visually displaying it, the method further includes:

[0084] Step S17, obtaining a management instruction, wherein the management instruction includes a charging device management instruction or a system management instruction;

[0085] Step S18: generating a management model based on the management instruction, and the plurality of management information tags, wherein the management information tags are used to indicate corresponding management information.

[0086] In this embodiment, if Figure 3-Figure 4 As shown, different management model interfaces are set for different management requirements, and management models are switched through different management instructions to adapt to different requirements.

[0087] Among them, charging equipment management instructions may involve equipment maintenance, upgrades or optimization operations, while system management instructions may involve policy adjustments or resource allocations for the entire charging network; management information labels include "equipment status", "maintenance cycle", "energy efficiency", etc. These labels are used to clearly indicate the corresponding management information.

[0088] It should be noted that management instructions need to be verified before execution to ensure their rationality and feasibility and to prevent potential conflicts or errors.

[0089] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0090] In this embodiment, a smart charging management system based on digital twin city applications is also provided, which is used to implement the above embodiments and preferred implementations, and will not be repeated here. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0091] Figure 5 is a structural block diagram of a smart charging management system based on a digital twin city application according to an embodiment of the present invention. Figure 5 As shown in the figure, the system is applied to the urban smart charging management platform, including:

[0092] The information collection module 51 is used to obtain the city charging equipment information and obtain the city geographic information through GIS;

[0093] A digital twin model construction module 52, used to construct a digital twin city model based on the city geographic information;

[0094] An association and fusion module 53 is used to associate and fuse the digital twin city model with the city charging equipment information to obtain a city charging model;

[0095] The display module 54 is used to visualize the acquired real-time charging equipment information based on the city charging model.

[0096] In an optional embodiment, if Figure 6 As shown, the urban smart charging management platform includes:

[0097] A load balancing module, connected to the city charging equipment, for load balancing adjustment of the city charging equipment;

[0098] A charging pile server, connected to the load balancing module, and configured to receive balancing feedback information from the load balancing module;

[0099] A database, connected to the charging pile server, for receiving and feeding back data from the charging pile server;

[0100] The network server is used to receive network information from a network device, wherein the network device includes at least any one of a mobile payment terminal, a PC terminal, and a service number.

[0101] In an optional embodiment, the system further includes:

[0102] A state calculation module, configured to perform state calculation on the real-time charging equipment information after visually displaying the acquired real-time charging equipment information based on the city charging model, and feed back the state calculation result to the city charging model;

[0103] A visualization display module is used to visualize the state calculation result through the city charging model.

[0104] It should be noted that the above modules can be implemented by software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0105] An embodiment of the present invention further provides a computer-readable storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0106] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0107] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0108] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0109] Through the description of the above implementation methods, technical personnel in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0110] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0111] The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0112] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0113] If 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 readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially 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, which is stored in a storage medium, including several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0114] The above contents are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions within the technical scope disclosed in the present application shall be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A smart charging management method based on digital twin city application, characterized in that: Applied to the city smart charging management platform, including: Obtain information about charging equipment in the city and obtain city geographic information through GIS; Building a digital twin city model based on the urban geographic information; Associating and fusing the digital twin city model with the city charging equipment information to obtain a city charging model; Based on the city charging model, real-time charging equipment information is obtained and displayed visually.

2. The method according to claim 1, characterized in that: After obtaining real-time charging equipment information for visual display based on the city charging model, the method further includes: Performing status calculation on the real-time charging equipment information, and feeding back the status calculation result to the city charging model; The state calculation result is visualized through the city charging model.

3. The method according to claim 2, characterized in that After calculating the state of the real-time charging device information, the method further includes: Determine the charging demand prediction and load prediction corresponding to the state calculation result through a preset first model; Determine a charging scheduling strategy according to the charging demand forecast and the load forecast; The power resource is dispatched according to the charging dispatching strategy.

4. The method according to claim 2, characterized in that: The performing state calculation on the real-time charging equipment information includes: Performing two-dimensional encoding on the real-time charging device information to obtain first device data; Normalizing the first device data, and constructing the normalized processing result into a device data matrix; Performing correlation calculation on the device data matrix to obtain a correlation value; When the correlation value is within a preset range, it is determined that the charging device is in a normal state, otherwise it is determined to be abnormal.

5. The method according to claim 1, characterized in that After obtaining real-time charging equipment information for visual display based on the city charging model, the method further includes: Obtaining a management instruction, wherein the management instruction includes a charging device management instruction or a system management instruction; Based on the management instruction, a management model and the several management information tags are generated, where the management information tags are used to indicate corresponding management information.

6. A smart charging management system based on digital twin city application, characterized in that: Applied to the city smart charging management platform, including: Information collection module, used to obtain information about urban charging equipment and obtain urban geographic information through GIS; A digital twin model construction module, used to construct a digital twin city model based on the city geographic information; An association and fusion module, used for associating and fusing the digital twin city model with the city charging equipment information to obtain a city charging model; The display module is used to obtain real-time charging equipment information for visual display based on the city charging model.

7. The system according to claim 6, characterized in that The urban smart charging management platform includes: A load balancing module, connected to the city charging equipment, for load balancing adjustment of the city charging equipment; A charging pile server, connected to the load balancing module, and configured to receive balancing feedback information from the load balancing module; A database, connected to the charging pile server, for receiving and feeding back data from the charging pile server; The network server is used to receive network information from a network device, wherein the network device includes at least any one of a mobile payment terminal, a PC terminal, and a service number.

8. The system according to claim 6, characterized in that The system further comprises: A state calculation module, configured to perform state calculation on the real-time charging equipment information after visually displaying the acquired real-time charging equipment information based on the city charging model, and feed back the state calculation result to the city charging model; A visualization display module is used to visualize the state calculation result through the city charging model.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 5 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 5.

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