Data transmission method based on cooperation of power grid and charging facility party and related equipment

Abstract

The invention provides a data transmission method based on cooperation of a power grid and a charging facility party and related equipment. The method comprises the following steps: acquiring a first type of power data from a charging facility party based on a real-time communication mode, and acquiring a second type of power data from the charging facility party based on a non-real-time communication mode; wherein the non-real-time communication mode comprises communication carried out when a network load meets a first preset condition; obtaining a control instruction for the charging facility party based on the first type of power data and / or the second type of power data and a global scheduling strategy; sending the control instruction to the charging facility party, so that the charging facility party analyzes the control instruction to obtain a real-time control instruction and a non-real-time instruction for a terminal connected to the charging facility party; wherein the real-time control instruction is sent to the terminal in real time, and the non-real-time instruction is sent to the terminal when the network load meets a second preset condition.

Description

Technical Field

[0001] The present disclosure relates to the field of power communications, and in particular to a data transmission method and related equipment based on collaboration between a power grid and charging facilities. Background Art

[0002] Traditional vehicle-grid interaction transmission methods typically employ single-stage transmission, where electric vehicles communicate directly with the power grid through charging facilities. This approach can meet basic transmission needs when the network structure is simple and the number of devices is small. However, with the rapid increase in the number of electric vehicles and the continuous expansion of vehicle-grid interaction services, the number of network nodes has increased dramatically, and data traffic has surged. The limitations of this single-stage transmission approach are becoming increasingly apparent. On the one hand, the large number of terminal devices communicating directly with the power grid increases the probability of network congestion and data transmission latency. On the other hand, the communication protocols and data formats between different charging facilities and the power grid may differ, requiring extensive protocol conversion and data processing, further increasing transmission latency. Furthermore, existing transmission methods also have shortcomings in terms of network reliability and fault tolerance. A network failure in a specific area can disrupt communication between all electric vehicles in that area and the power grid, impacting the normal operation of the power grid. Summary of the Invention

[0003] The present disclosure proposes a data transmission method and related equipment based on collaboration between a power grid and charging facilities, so as to at least partially solve the above technical problems to a certain extent.

[0004] In a first aspect, the present disclosure provides a data transmission method based on collaboration between a power grid and charging facilities, which is applied to the power grid layer and includes:

[0005] Acquiring first-type power data from a charging facility based on a real-time communication method, and acquiring second-type power data from the charging facility based on a non-real-time communication method; wherein the non-real-time communication method includes communication performed when a network load satisfies a first preset condition;

[0006] Obtaining a control instruction for the charging facility based on the first type of power data and / or the second type of power data and a global scheduling strategy;

[0007] The control instruction is sent to the charging facility for parsing by the charging facility to obtain real-time control instructions and non-real-time instructions for the terminal connected to the charging facility; wherein the real-time control instruction is sent to the terminal in real time, and the non-real-time instruction is sent to the terminal when the network load meets a second preset condition.

[0008] In a second aspect of the present disclosure, a data transmission method based on collaboration between a power grid and a charging facility is provided, which is applied to the charging facility, and includes:

[0009] Sending the first type of power data to the power grid layer based on a real-time communication method, and sending the second type of power data to the power grid layer based on a non-real-time communication method; wherein the non-real-time communication method includes communication performed when the network load meets the first load condition;

[0010] Obtaining a control instruction for the charging facility from the power grid layer, wherein the control instruction is determined by the power grid layer based on the first type of power data and / or the second type of power data and a global scheduling strategy;

[0011] Parsing the control instructions to obtain real-time control instructions and non-real-time instructions for the terminal;

[0012] The real-time control instruction is sent to the terminal in real time, and the non-real-time instruction is sent to the terminal when the network load meets a second preset condition.

[0013] In a third aspect, the present disclosure provides a data transmission device based on collaboration between a power grid and charging facilities, which is applied to the power grid layer and includes:

[0014] a power grid acquisition module configured to acquire first-type power data from a charging facility based on a real-time communication method and to acquire second-type power data from the charging facility based on a non-real-time communication method; wherein the non-real-time communication method includes communication performed when a network load satisfies a first preset condition;

[0015] a power grid dispatching module, configured to obtain a control instruction for the charging facility based on the first type of power data and / or the second type of power data and a global dispatching strategy;

[0016] The power grid sending module is used to send the control instructions to the charging facility for the charging facility to parse and obtain real-time control instructions and non-real-time instructions for the terminal connected to the charging facility; wherein the real-time control instructions are sent to the terminal in real time, and the non-real-time instructions are sent to the terminal when the network load meets a second preset condition.

[0017] In a fourth aspect, the present disclosure provides a data transmission device based on collaboration between a power grid and a charging facility, which is applied to the charging facility, including:

[0018] a charging party sending module, configured to send the first type of power data to the power grid layer based on a real-time communication method, and to send the second type of power data to the power grid layer based on a non-real-time communication method; wherein the non-real-time communication method includes communication performed when the network load meets a first load condition;

[0019] a charging party acquisition module, configured to acquire a control instruction from the power grid layer for the charging facility party, wherein the control instruction is determined by the power grid layer based on the first type of power data and / or the second type of power data and a global scheduling strategy;

[0020] A parsing module, configured to parse the control instructions to obtain real-time control instructions and non-real-time instructions for the terminal;

[0021] The charging party sending module is further configured to send the real-time control instruction to the terminal in real time, and to send the non-real-time instruction to the terminal when the network load meets a second preset condition.

[0022] In a fifth aspect of the present disclosure, an electronic device is provided, comprising one or more processors, a memory; and one or more programs, wherein the one or more programs are stored in the memory and executed by the one or more processors, and the programs include instructions for executing the method described in the first aspect.

[0023] In a sixth aspect of the present disclosure, a non-volatile computer-readable storage medium containing a computer program is provided, which, when executed by one or more processors, enables the processors to execute the method described in the first aspect.

[0024] In a seventh aspect of the present disclosure, a computer program product is provided, comprising computer program instructions, which, when executed on a computer, enable the computer to execute the method described in the first aspect.

[0025] As can be seen from the above, the present disclosure provides a data transmission method and related equipment based on the collaboration between the power grid and the charging facility party, which divides the power data from the charging facility party into a first category (real-time critical data) and a second category (non-real-time non-critical data), which are respectively obtained through real-time communication and non-real-time communication when the network load meets the first preset condition; then, these two types of data and the global scheduling strategy are combined to generate control instructions for the charging facility party, which are parsed by the charging facility party to obtain real-time control instructions and non-real-time instructions for the terminal, wherein the real-time control instructions are sent to the terminal in real time, and the non-real-time instructions are sent when the network load meets the second preset condition. In this way, the real-time nature of the vehicle-grid interaction is effectively guaranteed by the real-time processing and priority transmission of real-time critical data; the batch processing and timely transmission of non-real-time non-critical data effectively optimizes the utilization of network resources, thereby better meeting different data transmission requirements and significantly improving the overall transmission efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the present disclosure or related technologies, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are only embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0027] Figure 1 Schematic diagram of a data transmission architecture based on collaboration between a power grid and charging facilities according to an embodiment of the present disclosure.

[0028] Figure 2 Schematic diagram of the hardware structure of an exemplary electronic device according to an embodiment of the present disclosure.

[0029] Figure 3 Schematic diagram of a two-level collaborative transmission system based on power grid and charging facilities according to an embodiment of the present disclosure.

[0030] Figure 4 Schematic diagram of a data transmission method based on collaboration between a power grid and charging facilities according to an embodiment of the present disclosure.

[0031] Figure 5 Schematic diagram of data transmission according to an embodiment of the present disclosure.

[0032] Figure 6 Schematic diagram of a data transmission method based on collaboration between a power grid and charging facilities according to an embodiment of the present disclosure.

[0033] Figure 7-Figure 8 Schematic diagram of a data transmission device based on collaboration between a power grid and charging facilities according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0034] In order to make the objectives, technical solutions and advantages of the present disclosure more clearly understood, the present disclosure is further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0035] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present disclosure should have the usual meanings understood by people with ordinary skills in the field to which the present disclosure belongs. The "first", "second" and similar words used in the embodiments of the present disclosure do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative position relationships. When the absolute position of the described object changes, the relative position relationship may also change accordingly.

[0036] It is understandable that before using the technical solutions disclosed in the various embodiments of this disclosure, the type, scope of use, usage scenarios, etc. of the personal information involved in this disclosure should be informed to the user and the user's authorization should be obtained in an appropriate manner in accordance with relevant laws and regulations.

[0037] For example, in response to a user's active request, a prompt message is sent to the user to clearly inform the user that the operation requested will require the acquisition and use of the user's personal information. This allows the user to independently choose whether to provide personal information to the electronic device, application, server, storage medium, or other software or hardware that performs the operations of the disclosed technical solution based on the prompt message.

[0038] It is understandable that the above notification and user authorization process are merely illustrative and do not limit the implementation of the present disclosure. Other methods that comply with relevant laws and regulations may also be applied to the implementation of the present disclosure.

[0039] Figure 1 FIG2 shows a schematic diagram of a data transmission architecture based on collaboration between a power grid and charging facilities according to an embodiment of the present disclosure. Figure 1 The data transmission architecture 100 based on the collaboration between the power grid and charging facilities may include a server 110, a terminal 120, and a network 130 that provides a communication link. The server 110 and the terminal 120 may be connected via a wired or wireless network 130. The server 110 may be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, security services, and CDN.

[0040] Terminal 120 can be implemented in hardware or software. For example, when implemented in hardware, terminal 120 can be any electronic device with a display screen that supports page display, including but not limited to smartphones, tablet computers, e-book readers, laptop computers, and desktop computers. When terminal 120 is implemented in software, it can be installed in the electronic devices listed above; it can be implemented as multiple software or software modules (such as software or software modules used to provide distributed services), or it can be implemented as a single software or software module, and no specific limitations are given here.

[0041] It should be noted that the data transmission method based on the collaboration between the power grid and the charging facility provided in the embodiment of the present application can be executed by the terminal 120 or by the server 110. It should be understood that Figure 1 The number of terminals, networks, and servers in the embodiment is for illustration only and is not intended to limit the number of terminals, networks, and servers.

[0042] Figure 2 FIG. 2 shows a schematic diagram of the hardware structure of an exemplary electronic device 200 provided in an embodiment of the present disclosure. Figure 2 As shown, electronic device 200 may include: processor 202, memory 204, network module 206, peripheral interface 208 and bus 210. Processor 202, memory 204, network module 206 and peripheral interface 208 are connected to each other through bus 210 in communication with each other within electronic device 200.

[0043] The processor 202 may be a central processing unit (CPU), a neural network processor (NPU), a microcontroller (MCU), a programmable logic device, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), or one or more integrated circuits. The processor 202 may be used to perform functions related to the technology described in this disclosure. In some embodiments, the processor 202 may also include multiple processors integrated into a single logical component. For example, Figure 2 As shown, the processor 202 may include a plurality of processors 202a, 202b, and 202c.

[0044] The memory 204 may be configured to store data (eg, instructions, computer code, etc.). Figure 2As shown, the data stored in the memory 204 may include program instructions (for example, program instructions for implementing the data transmission method based on collaboration between the power grid and the charging facility in accordance with an embodiment of the present disclosure) and data to be processed (for example, the memory may store configuration files of other modules, etc.). The processor 202 may also access the program instructions and data stored in the memory 204, and execute the program instructions to operate on the data to be processed. The memory 204 may include a volatile storage device or a non-volatile storage device. In some embodiments, the memory 204 may include a random access memory (RAM), a read-only memory (ROM), an optical disc, a magnetic disk, a hard disk, a solid-state drive (SSD), a flash memory, a memory stick, etc.

[0045] The network module 206 can be configured to provide the electronic device 200 with communication with other external devices via a network. The network can be any wired or wireless network capable of transmitting and receiving data. For example, the network can be a wired network, a local wireless network (e.g., Bluetooth, WiFi, near field communication (NFC)), a cellular network, the Internet, or a combination thereof. It will be appreciated that the type of network is not limited to the specific examples above. In some embodiments, the network module 206 can include any number of network interface controllers (NICs), radio frequency modules, transceivers, modems, routers, gateways, adapters, cellular network chips, and the like.

[0046] The peripheral interface 208 can be configured to connect the electronic device 200 to one or more peripheral devices to implement information input and output. For example, the peripheral devices can include input devices such as a keyboard, a mouse, a touchpad, a touch screen, a microphone, and various sensors, and output devices such as a display, a speaker, a vibrator, and an indicator light.

[0047] The bus 210 can be configured to transmit information between the various components of the electronic device 200 (e.g., the processor 202, the memory 204, the network module 206, and the peripheral interface 208), such as an internal bus (e.g., a processor-memory bus), an external bus (USB port, PCI-E bus), etc.

[0048] It should be noted that although the architecture of the electronic device 200 shown above only shows the processor 202, the memory 204, the network module 206, the peripheral interface 208, and the bus 210, in a specific implementation, the architecture of the electronic device 200 may also include other components necessary for normal execution. In addition, it will be understood by those skilled in the art that the architecture of the electronic device 200 may also include only the components necessary to implement the embodiments of the present disclosure, and does not necessarily include all the components shown in the figure.

[0049] With the transformation of the global energy structure and growing awareness of environmental protection, electric vehicles (EVs) are becoming increasingly widely used. Vehicle-to-Grid (V2G) technology, a key technology for achieving bidirectional interaction between EVs and the power grid, enables EVs to function not only as power consumers but also as distributed energy storage units, participating in grid peak shaving, frequency regulation, and renewable energy consumption, thereby improving grid stability and operational efficiency.

[0050] In the process of vehicle-grid interaction, real-time and accurate information transmission is the foundation for efficient interaction. The power grid needs real-time access to data such as EV charging status, battery parameters, and location information to optimize load scheduling and energy management. At the same time, charging facilities need to receive instructions from the power grid, such as charging power adjustment and charging time scheduling, to control the EV charging process.

[0051] However, traditional vehicle-grid interaction transmission methods typically employ single-stage transmission, where electric vehicles communicate directly with the power grid through charging facilities. This approach can meet basic transmission requirements when the network structure is simple and the number of devices is small. However, with the rapid increase in the number of electric vehicles and the continuous expansion of vehicle-grid interaction services, the number of network nodes has increased dramatically, and data traffic has surged significantly. The limitations of this single-stage transmission approach are becoming increasingly apparent. Firstly, the large number of terminal devices communicating directly with the power grid increases the probability of network congestion and data transmission latency, which impacts the effectiveness of vehicle-grid interaction. For example, when the power grid needs to rapidly adjust electric vehicle charging power to cope with load fluctuations, high latency can lead to untimely adjustments, impacting grid stability. Secondly, the communication protocols and data formats between different charging facilities and the power grid may differ, requiring extensive protocol conversion and data processing, further increasing transmission latency and system complexity. Furthermore, existing transmission methods also have shortcomings in terms of network reliability and fault tolerance. A network failure at a node can disrupt communication between all electric vehicles in the area and the power grid, impacting the normal operation of vehicle-grid interaction.

[0052] Therefore, how to effectively reduce the transmission delay of power grid communication, improve network reliability and efficiency, and meet the development needs of vehicle-grid interaction technology has become a technical problem that needs to be solved urgently.

[0053] In view of this, the disclosed embodiments provide a data transmission method and related equipment based on collaboration between the power grid and charging facilities. The method divides power data from the charging facilities into a first category (real-time critical data) and a second category (non-real-time, non-critical data). These data are acquired through real-time communication and non-real-time communication when the network load meets a first preset condition, respectively. These two categories of data are then combined with a global scheduling strategy to generate control instructions for the charging facilities. These instructions are parsed by the charging facilities to obtain real-time control instructions and non-real-time instructions for the terminals. The real-time control instructions are sent to the terminals in real time, while the non-real-time instructions are sent when the network load meets a second preset condition. This effectively ensures the real-time nature of vehicle-grid interaction by processing and prioritizing real-time critical data in real time. The batch processing and timely transmission of non-real-time, non-critical data effectively optimizes network resource utilization, thereby better meeting different data transmission requirements and significantly improving overall transmission efficiency. Through two-level collaboration at the power grid and charging facility levels, efficient data transmission and processing are achieved, transmission latency is reduced, and network reliability and efficiency are improved to meet the real-time and reliability requirements of vehicle-grid interaction.

[0054] See also Figure 3 , Figure 3 A schematic diagram of a two-level coordinated transmission system based on a power grid and charging facilities according to an embodiment of the present disclosure is shown. Figure 3 In this paper, the two-level coordinated transmission system consists of the power grid layer and the charging facility operator layer. At the power grid layer, a power grid control center is deployed in the core control area of ​​the power grid, equipped with high-performance servers and data processing equipment, and a global vehicle-grid interaction management system is installed. This system provides functions such as data reception, processing, storage, analysis, and command generation, and is capable of communicating with the management platforms of each charging facility operator. At the charging facility operator layer, each charging facility operator deploys an operator management platform within its management area. This platform can be a server cluster or a cloud platform, equipped with an interface for communicating with the power grid control center and the ability to manage its charging facilities and electric vehicles. The operator management platform needs to establish a communication connection with its charging facilities, which can be achieved through a wired network (such as Ethernet) or a wireless network (such as 4G or 5G). Charging facility and electric vehicle connectivity: Charging facilities (such as charging piles) are equipped with corresponding communication modules during installation to enable communication with their respective operator management platforms. Electric vehicles are equipped with communication modules at the factory or later to support communication with the charging facilities, such as through short-range wireless communication technologies such as Bluetooth and Wi-Fi.

[0055] The grid layer houses a grid control center, which collects and processes network-wide vehicle-grid interaction data and formulates global dispatch strategies and control instructions. The charging facility operator layer comprises multiple charging facility operators, each of which manages its own charging facilities and connected electric vehicles. Operator management platforms are deployed to communicate with the grid control center, receive and execute commands from the grid control center, and collect and upload data from its own charging facilities and electric vehicles to the grid control center. The grid control center, at the top level of the grid layer, is responsible for global management and dispatch. The charging facility operator layer consists of multiple operator management platforms, each of which manages its own charging facilities and electric vehicles. The charging facility layer includes individual charging piles, which connect to electric vehicles and control charging. The electric vehicle layer is a terminal device that communicates with the charging piles. Data is transmitted bidirectionally between each layer, enabling two-level collaboration.

[0056] Figure 3 In this scenario, electricity suppliers manage and monitor the entire virtual power plant system through the virtual power plant management cloud platform. The virtual power plant's encrypted trusted terminal ensures the security and reliability of data transmission, providing a safeguard for subsequent information exchange. Load aggregators exchange information with the virtual power plant management cloud platform via virtual power plant information exchange paths 1 and 2, transmitting relevant information about the virtual power plant. The load aggregation platform receives aggregated charging load information from various charging operators and exchanges data with the charging operations platform via charging load aggregation information exchange paths 1 and 2. Load aggregators also exercise a certain degree of control and management over the charging operations platform through edge control terminals to ensure the proper distribution and regulation of charging loads. Each charging operator is equipped with a load information collection device for real-time load information from charging facilities. The charging operations platform receives data collected by the load information collection device and exchanges information with the load aggregation platform. Furthermore, the charging information is sent to the charging safety monitoring platform (on the government regulatory side) via charging load aggregation information exchange path 3. The charging operators' charging and swapping facilities interact with electric vehicle users' charging stations to provide charging services and record relevant vehicle-to-charging station interaction information. Electric vehicle users connect their vehicles to charging facilities. The information exchanged between the vehicle and the charging station records charging time, power consumption, cost, and other relevant data. This data is recorded and analyzed by the charging operator. Government regulators receive charging information from the charging operation platform through the charging safety monitoring platform, which enables safety monitoring and management of the charging process. Furthermore, government regulators can obtain load aggregation information to conduct macro-level supervision and regulation of the load situation of the entire virtual power plant.

[0057] Power suppliers conduct overall management through the virtual power plant management cloud platform. Load aggregators aggregate charging load information and interact with the charging operations platform. Charging operators collect data through load information collection devices at the substations and provide charging services to users. Electric vehicle users use charging and swapping facilities for charging. Government regulators oversee the entire charging process and the load status of the virtual power plant through the charging safety monitoring platform. Data is transmitted and shared among all participants through different information exchange paths, enabling efficient operation and supervision of the virtual power plant.

[0058] See also Figure 4 , Figure 4 The schematic flow chart of the data transmission method based on the collaborative system between the power grid and the charging facility according to the embodiment of the present disclosure is shown. The data transmission method based on the collaborative system between the power grid and the charging facility according to the embodiment of the present disclosure can be deployed on the terminal or the server. Figure 4 In the embodiment, the data transmission method 400 based on the collaboration between the power grid and the charging facility may further include the following steps.

[0059] In step S410, first type of power data is obtained from the charging facility based on a real-time communication method, and second type of power data is obtained from the charging facility based on a non-real-time communication method; wherein the non-real-time communication method includes communication performed when the network load meets a first preset condition.

[0060] Real-time communication refers to communication methods that enable immediate and instantaneous data transmission. It emphasizes the timeliness and immediacy of data and is suitable for scenarios requiring rapid response and real-time monitoring. For example, real-time monitoring of the operating status of charging facilities ensures timely access to the latest data from charging facilities, enabling rapid decision-making. Charging facilities may refer to the operators of the equipment or facilities that provide charging services, such as operators of electric vehicle charging stations. Charging facilities are responsible for providing power to electric vehicles and other devices, generating a variety of power-related data during operation. This data is crucial for understanding the operating status and power consumption of charging facilities and optimizing charging services. The first category of power data may be power-related data obtained from charging facilities via real-time communication. This type of data typically requires high real-time performance and may include the charging facility's real-time charging power, current charging current and voltage, and the charging facility's operating status (e.g., whether it is charging normally or in a faulty state). This real-time data helps relevant personnel understand the current operating status of charging facilities, enabling real-time monitoring and management.

[0061] Non-real-time communication methods may not require immediate data transmission, but rather data transmission only occurs when certain conditions are met. This method allows data to be stored or cached to a certain extent after it is generated, and then transmitted when network conditions are suitable or other pre-set conditions are met. This can avoid data transmission during peak network load periods, thereby reducing network pressure and improving data transmission efficiency. The second type of power data may be power-related data obtained from charging facilities using non-real-time communication methods. This type of data may have relatively low real-time requirements, such as the cumulative charging power of charging facilities over a period of time, energy consumption statistics of charging facilities, and equipment maintenance records. This data does not require real-time acquisition and can be transmitted when network load is low, thereby reducing the use of real-time communication resources. The first pre-set condition can be a standard pre-set based on the actual network conditions and needs, used to determine whether the network is suitable for non-real-time data transmission. When the network load (such as network bandwidth utilization, data traffic, etc.) is below this pre-set standard, it indicates that the network is relatively idle, and non-real-time data transmission can be carried out at this time to avoid data congestion or transmission delays during busy network conditions.

[0062] The present disclosure adopts real-time communication and non-real-time communication to obtain the power data of the charging facilities according to the different requirements of the data for real-time performance. For the first type of power data that needs to be mastered in a timely manner for real-time monitoring and rapid decision-making, such as the real-time operating parameters of the charging facilities, a real-time communication method is adopted to ensure that the data can be transmitted to the recipient quickly and accurately, so that relevant personnel can understand the latest status of the charging facilities at the first time and deal with possible problems in a timely manner. For the second type of power data that does not require high real-time performance, a non-real-time communication method is adopted to transmit it when the network load meets certain conditions (i.e., the first preset conditions). In this way, while ensuring data integrity, network resources can be reasonably utilized to avoid data congestion when the network is busy, thereby improving the efficiency and stability of the entire data transmission system.

[0063] Specifically, the present disclosure realizes the efficient collection and transmission of charging facility power data by combining real-time and non-real-time communication methods. For the first type of power data (such as charging power, instantaneous values ​​of current and voltage, and other data that require high-frequency monitoring), a low-latency real-time communication protocol can be used to establish a persistent connection and continuously report data to the cloud platform with millisecond-level granularity to ensure that the power grid dispatching system can grasp the status of charging facilities in real time and support dynamic load balancing and abnormal alarms. The second type of power data (such as equipment statistical logs, historical charging records, and other delay-tolerant data) adopts an opportunistic transmission strategy. When it is detected that the network load meets the first preset condition (such as bandwidth utilization is less than 30% or the base station is idle), the system automatically triggers data upload.

[0064] For example, Figure 3 As shown in the figure, electric vehicles send data to their respective charging facilities, which then transmit the data to the corresponding operator management platform. The operator management platform packages and transmits real-time critical data in real time, sending it to the grid control center via dedicated communication channels or optimized network protocols. Non-real-time, non-critical data is cached and batched, and transmitted to the grid control center when network load is low. During transmission, the operator management platform can aggregate and compress the data to reduce data transmission volume and improve transmission efficiency.

[0065] See also Figure 5 , Figure 5 A schematic diagram of data transmission according to an embodiment of the present disclosure is shown. The operator management platform packages the processed real-time critical data in real time. Each data packet contains the critical data of multiple electric vehicles. In order to improve transmission efficiency, a compression algorithm is used to compress the data packet. It is then sent to the power grid control center through a dedicated communication channel (such as a power-dedicated communication network) or an optimized Internet channel. During the transmission process, in order to ensure low latency, a higher transmission priority is set to avoid data queuing in the network. For example, when the power grid control center needs to grasp the charging status of electric vehicles in a certain area in real time for load forecasting, the operator management platform can transmit real-time critical data to the power grid control center within a few milliseconds.

[0066] For batched, non-real-time, non-critical data, the operator management platform monitors network status and sends the data to the grid control center when it detects low network load (such as during the early morning hours). During transmission, standard transmission protocols and lower transmission priorities can be used to avoid excessive network resource consumption. For example, at 2:00 a.m. each day, the operator management platform packages and transmits the day's charging history data to the grid control center for data analysis and statistics.

[0067] In some embodiments, the first type of power data includes charging data of a terminal connected to a charging device during a charging process, and the charging data includes at least one of the following: charging current, charging voltage, battery state of charge, and charging time.

[0068] In some embodiments, the second type of power data includes attribute information and / or charging history of the terminal, and the attribute information includes a terminal identification and / or a terminal model.

[0069] At the charging facility operator level, data from electric vehicles and charging facilities is classified and preprocessed. Based on the importance and real-time requirements of the data, the data is divided into real-time critical data (such as the real-time charging power, battery status, and location information of electric vehicles) and non-real-time non-critical data (such as the electric vehicle's historical charging records and user information). Real-time critical data is collected and preliminarily processed in real time, such as data format conversion and abnormal data detection; non-real-time non-critical data is collected and processed in batches on a regular basis. Different transmission strategies are used to process real-time critical data in real time and prioritize transmission to ensure the real-time nature of vehicle-network interaction; non-real-time non-critical data is processed in batches and transmitted at selected times to optimize network resource utilization. This differentiated transmission strategy can better meet the transmission requirements of different data and improve overall transmission efficiency.

[0070] In some embodiments, the power grid communicates with different charging facilities based on the same first communication protocol; terminals connected to the same charging facility communicate based on the same second communication protocol, and the first communication protocol is different from the second communication protocol.

[0071] The communication protocol for the two-level collaborative transmission disclosed herein may include a communication protocol between the power grid layer and the charging facility operator layer, as well as a communication protocol within the charging facility operator layer. In the communication protocol between the power grid layer and the charging facility operator layer, a unified data format and interaction process are defined to reduce the complexity of protocol conversion; in the communication protocol within the charging facility operator layer, efficient communication methods, such as short-range wireless communication (e.g., Bluetooth, Wi-Fi) or wired communication, are adopted based on the characteristics of the charging facilities and electric vehicles to ensure rapid data transmission within the operator.

[0072] By adopting a layered heterogeneous protocol architecture, efficient communication is achieved between the power grid and charging facilities, and between charging facilities and terminal devices. The first communication protocol (the grid-charging facility layer) ensures interoperability between charging facilities from different manufacturers and the grid dispatch system. This protocol defines a unified message format (such as the ASDU structure) and communication timing, supporting centralized monitoring of large-scale charging facilities. The second communication protocol (the charging facility-terminal layer) allows for selection of an adaptive protocol based on the terminal type. For example, DC fast-charging piles use the CANopen protocol to communicate with the BMS; AC slow-charging piles use the ISO 15118 protocol for plug-and-play charging; and peripherals such as advertising screens access the network via the MQTT protocol. A protocol conversion gateway can deploy edge computing units within the charging facility to achieve bidirectional protocol conversion. In the upstream direction, the second protocol data is encapsulated into the standard information body of the first protocol. In the downstream direction, grid dispatch instructions (such as power adjustment values) are parsed and converted into control frames that can be recognized by the terminal. White box switching technology can be used to ensure conversion latency of less than 50ms, meeting real-time control requirements.

[0073] It can be seen that by defining a unified communication protocol between the power grid layer and the charging facility operator layer, the charging facility operator only needs to convert the internal data into a unified protocol format to communicate with the power grid control center, reducing the complex protocol conversion between different operators and the power grid and reducing the system complexity.

[0074] In some embodiments, the second communication protocols adopted by different charging facilities are the same or different.

[0075] Different charging facility manufacturers may use different second communication protocols. Different charging facilities may be used in different scenarios, such as public charging piles, private charging piles, and charging piles in highway service areas. These scenarios have different requirements for charging speed, stability, safety, etc., and the second communication protocol may be different depending on the specific scenario.

[0076] In some embodiments, obtaining the first type of power data from the charging facility based on real-time communication includes:

[0077] Acquiring first-category power data of the charging facility in real time based on a designated communication channel; wherein the first-category power data is obtained by the charging facility through the following processing:

[0078] collecting real-time charging data of the corresponding terminal based on the second communication protocol, and converting the real-time charging data into first intermediate data based on the first communication protocol;

[0079] Performing data anomaly detection on the first intermediate data to obtain abnormal data;

[0080] Marking and / or removing the abnormal data in the first intermediate data to obtain processed first intermediate data;

[0081] The processed first intermediate data is clustered and / or compressed to obtain the first category of power data.

[0082] Among them, the charging facility will collect real-time charging data of the corresponding terminal (such as charging piles and other charging equipment) based on the second communication protocol. Different communication protocols are suitable for different devices and scenarios. The second communication protocol may be designed specifically for charging terminals and can accurately obtain various parameters during the charging process, such as charging current, voltage, and power. After collecting these real-time charging data, the charging facility will convert them into first intermediate data in a unified data format based on the first communication protocol, so that they meet the requirements of subsequent processing and transmission, and facilitate data interaction between different systems or devices.

[0083] After obtaining the first intermediate data, the charging facility will perform data anomaly detection on these data. During the charging process, due to various reasons (such as equipment failure, signal interference, etc.), the collected data may be abnormal, such as the current value suddenly exceeds the normal range, the voltage value fluctuates abnormally, etc. These abnormal data can be identified through anomaly detection algorithms or rules. Afterwards, the abnormal data in the first intermediate data will be marked and / or removed. Marking abnormal data can let subsequent data users know clearly which data may have problems, and removing abnormal data can ensure that the final data is more accurate and reliable, and avoid abnormal data from interfering with subsequent analysis and decision-making.

[0084] The processed (after marking and / or removing abnormal data) first intermediate data is clustered and / or compressed to obtain first-category power data. Clustering can group data with similar characteristics, for example, clustering data with similar charging currents within the same time period. This helps identify patterns and patterns in the data, reduces the data volume, and facilitates subsequent classification, analysis, and processing. Compression uses specific algorithms to reduce the storage space and transmission bandwidth required for data, thereby reducing the cost and complexity of data transmission while ensuring the basic characteristics and usability of the data. The clustered and / or compressed first-category power data is transmitted to the recipient in real time via a designated communication channel to meet the needs of real-time monitoring and management of charging facilities. Specifically, the aggregation can be divided into two categories: real-time critical information and non-real-time critical information. Real-time critical information includes real-time adjustable load and battery information, while non-real-time critical information includes historical charging records and user information. Real-time critical information requires immediate access and updating to support dynamic system adjustment and rapid response. The size, distribution, and regulation capabilities of real-time adjustable loads allow flexible load adjustment based on the real-time operating status of the power grid to ensure stable operation. Battery information can refer to real-time acquisition of battery parameters such as power, voltage, and temperature. It can detect battery abnormalities in a timely manner and take corresponding measures to avoid battery overcharging, over-discharging, overheating, and other problems, thereby extending the battery life.

[0085] Non-real-time critical information doesn't need to be acquired in real time, but it's crucial for the system's long-term planning, analysis, and decision-making. It's typically collected and updated at specific points in time or on a regular basis. Historical charging records include information such as the user's charging time, charge level, and location. Analysis of this data can help us understand the user's charging habits and needs, providing a basis for optimizing the layout of charging facilities and developing charging strategies. User information includes basic user information (such as name, contact information, and address), account information (such as balance, points, and so on), and consumption history. This information helps companies understand user needs and preferences, provide personalized services, and improve user satisfaction.

[0086] Compression means that data of the same type can be uploaded simultaneously, per station, reducing the number of data exchanges. If the data is too large, it can be compressed before transmission, reducing bandwidth and increasing transmission speed. For example, consider a charging facility operator whose charging piles are distributed across multiple parking lots and charging stations. When an electric vehicle is connected to a charging pile for charging, the charging pile collects real-time critical data such as the vehicle's charging current, voltage, battery SOC (State of Charge), and charging time. It also records non-real-time, non-critical data such as the vehicle's user ID, vehicle model, and charging history. The charging pile sends the collected data to the operator's management platform, which first converts the format of the real-time critical data, converting proprietary data formats from different brands and models of charging piles into a unified standard format to facilitate communication with the grid control center. The platform also performs data anomaly detection, such as determining whether the charging current exceeds the rated value or whether there is a sudden change in the battery SOC. Any abnormal data is promptly flagged for further processing or re-collection. For non-real-time, non-critical data, the operator management platform stores it in a local database and batch-processes it at preset intervals (e.g., hourly or daily).

[0087] It can be seen that through two-level collaborative transmission, a large amount of terminal device data is classified, preprocessed, and aggregated at the charging facility operator level, reducing the amount of data directly communicated with the power grid control center and the probability of network congestion. At the same time, priority transmission and optimized communication protocols are adopted for real-time critical data, effectively reducing transmission latency. Through a dedicated communication protocol suitable for two-level collaborative transmission, a unified data format and interaction process are defined between the power grid layer and the charging facility operator layer, reducing the complexity and latency of protocol conversion. At the same time, an efficient short-distance communication protocol is adopted within the charging facility operator layer to increase the speed of data transmission within a local area. The optimized communication protocol enhances the compatibility and interoperability of the system, enabling equipment and systems from different manufacturers to access and work together more conveniently.

[0088] In some embodiments, obtaining the second type of power data from the charging facility based on a non-real-time communication method includes:

[0089] The second type of power data of the charging facility is obtained based on a preset time interval when the network load meets the first preset condition; wherein, the second type of power data is obtained by the charging facility collecting non-real-time data of the corresponding terminal based on the second communication protocol, and converting the non-real-time data based on the first communication protocol; the second type of power data is stored in the database of the charging facility.

[0090] Among them, obtaining the second type of power data from the charging facility through non-real-time communication can balance the timeliness of data acquisition and the efficient use of network resources, ensuring that the non-real-time critical data of the charging facility can be obtained at reasonable time intervals when network conditions permit.

[0091] The charging facility collects non-real-time data of the corresponding terminal (such as charging piles and other charging equipment) based on the second communication protocol. The second communication protocol may be designed according to the specific characteristics of the charging terminal and the data collection requirements, and can accurately capture non-real-time power-related information such as the cumulative charging power of the charging facility over a period of time, the equipment operation time, energy consumption statistics, etc. After collecting these non-real-time data, the charging facility will convert the data based on the first communication protocol. This conversion process may be to unify the data format so that it conforms to the standards for subsequent storage, transmission or analysis, so that different systems or devices can smoothly exchange this data.

[0092] The converted second-category power data is stored in the charging facility's database. As a core component of data storage, the database provides a secure and stable environment for this data. Through database management, data can be classified, indexed, and backed up, facilitating subsequent querying, statistics, and analysis. Furthermore, the database's efficient storage mechanism improves data read and write performance, ensuring a fast response when data is needed.

[0093] In terms of data acquisition, the system will obtain the second type of power data from the charging facility based on a preset time interval when the network load meets the first preset condition. The setting of the preset time interval is determined based on the importance and frequency of change of the data, such as obtaining it once a day, week, or month, to balance the frequency of data acquisition and the consumption of system resources. The requirement that the network load meets the first preset condition is to avoid data transmission when the network is busy, thereby reducing network pressure and improving the efficiency and stability of data transmission. When the network load is at a low level, the system will obtain these stored second type of power data from the charging facility's database to achieve non-real-time data interaction.

[0094] In some embodiments, method 400 further includes:

[0095] detecting an operating parameter of the designated communication channel, the operating parameter comprising at least one of bandwidth, latency, and packet loss rate;

[0096] In response to the operating parameter exceeding a preset threshold, the first type of power data is switched to a backup communication channel for data transmission, or corresponding network resources are allocated based on the real-time requirement of the first power data.

[0097] Among them, network resource scheduling modules are set up at the power grid layer and the charging facility operator layer respectively to monitor the network status in real time, including network bandwidth, delay, congestion, etc. According to the network status and the real-time requirements of the data, network resources are dynamically allocated, and bandwidth and transmission priority are prioritized for real-time critical data to ensure that non-real-time and non-critical data are transmitted when the network is idle, avoiding occupying too many network resources. At the same time, when the network in a certain area fails, the network resource scheduling module can automatically switch to the backup communication channel to ensure the continuity of data transmission. The two-level collaborative architecture enables the charging facility operator layer to independently process data and instructions within its area. When a local network of an operator fails, it will not affect the normal operation of other operators and the entire power grid layer, thereby improving the reliability and fault tolerance of the system.

[0098] For example, network resource scheduling modules are installed in the power grid control center and each operator's management platform to collect real-time network parameters such as bandwidth, latency, and packet loss rate. When the latency of a communication channel exceeds a threshold, the network resource scheduling module automatically switches to a backup channel, such as switching from a 4G network to a 5G network or a wired network. At the same time, based on the data's real-time level, higher bandwidth resources and priority are allocated to real-time critical data to ensure that its transmission latency meets requirements. For example, when wireless network congestion is detected in a certain area, the transmission of real-time critical data is prioritized, and the transmission of non-real-time, non-critical data is temporarily delayed.

[0099] Based on the real-time requirements of the first power data, corresponding network resources are allocated. Network resources can be allocated by adjusting network bandwidth allocation, optimizing network routing, etc. For example, to ensure that the first type of power data with high real-time requirements is transmitted first, its transmission bandwidth can be increased, or a higher-quality network routing path can be selected to reduce data transmission delays and packet loss rates, thereby ensuring that the data reaches the recipient in a timely and accurate manner.

[0100] As can be seen, through network resource scheduling and optimization, resources are dynamically allocated based on data real-time requirements and network status, improving network resource utilization efficiency and ensuring the transmission quality of different data types. By implementing a network resource scheduling module within a two-level architecture, real-time network status monitoring and dynamic resource allocation are achieved, achieving efficient utilization of network resources. Automatically adjusting transmission paths and resource allocation based on network congestion and data priority ensures low-latency transmission of critical real-time data and appropriate transmission of non-real-time data, improving system reliability and stability. This dynamic scheduling mechanism enables the system to better adapt to complex and changing network environments, ensuring the continuous and stable operation of vehicle-network interaction.

[0101] In step S420, a control instruction for the charging facility is obtained based on the first type of power data and / or the second type of power data and a global scheduling strategy.

[0102] Among them, the power grid control center generates control instructions (such as charging power adjustment instructions, charging time scheduling instructions, etc.) for each charging facility operator based on the global dispatch strategy and collected data.

[0103] Specifically, the grid control center monitors the power supply and demand of the entire grid in real time. For example, during peak periods, the grid's total power supply capacity may be relatively limited. At this time, it is necessary to rationally control the power load of charging facilities to prevent grid instability or even blackouts caused by excessive charging loads. During off-peak periods, however, the grid has more surplus power, which can encourage charging facilities to increase charging capacity, thereby improving the efficiency of power resource utilization. Considering the stability requirements of grid parameters such as frequency and voltage, the simultaneous charging of a large number of charging facilities may cause voltage fluctuations and frequency deviations. Therefore, the global dispatch strategy will formulate appropriate charging control measures based on the real-time operating status of the grid to ensure stable operation. Energy allocation is optimized by considering the generation characteristics and costs of different energy types (such as thermal power, hydropower, wind power, and photovoltaic power). For example, when renewable energy generation is sufficient, renewable energy is prioritized to power charging facilities, reducing reliance on traditional fossil fuels.

[0104] The grid control center collects relevant data from each charging facility operator, including real-time charging power, charging duration, and charged capacity. This allows the center to understand the operating status and power load of each charging facility. It also collects real-time grid operating data, such as voltage, current, and frequency, as well as power plant generation and transmission line load. By analyzing this data, the control center can gain a comprehensive understanding of the overall grid operation.

[0105] The grid control center utilizes data analysis algorithms and models to conduct in-depth analysis and processing of collected data related to the global dispatch strategy and charging facility operation data. For example, forecasting algorithms are used to predict future trends in power demand and charging load. Based on the results of this data analysis and combined with the global dispatch strategy, specific control instructions are generated for each charging facility operator. If the grid's power supply capacity is limited during a certain period, the control center will send instructions to charging facility operators to reduce charging power to reduce grid load. Conversely, when power supply is sufficient, instructions may be sent to increase charging power to encourage charging facilities to charge faster.

[0106] In order to balance the peak and valley loads of the power grid, the control center will arrange charging facilities to charge at different time periods according to the peak and valley periods of power consumption of the power grid. For example, charging facilities are required to charge in batches during low-power consumption periods (such as at night), and to reduce or suspend charging during peak power consumption periods. The generated control instructions are transmitted to each charging facility operator through communication means such as the network. In order to ensure the accuracy and timeliness of the instructions, a high-speed and stable communication network is usually used, and encryption and other technologies are used to ensure the security of instruction transmission. After receiving the control instructions, the charging facility operator will make corresponding adjustments and controls to its charging facilities in accordance with the instructions. For example, adjust the output power of the charging equipment, control the start and stop of the charging switch, etc., to ensure that the operation of the charging facilities meets the global scheduling requirements of the power grid.

[0107] In step S430, the control instruction is sent to the charging facility for parsing by the charging facility to obtain real-time control instructions and non-real-time instructions for the terminal connected to the charging facility; wherein the real-time control instruction is sent to the terminal in real time, and the non-real-time instruction is sent to the terminal when the network load meets a second preset condition.

[0108] After the grid control center generates control instructions and sends them to the charging facility, the charging facility must parse these instructions and split them into real-time control instructions for the terminals connected to it and non-real-time instructions. Different delivery strategies are then adopted based on the instruction type to achieve precise and efficient control of the terminals while ensuring the rational use of network resources. Non-real-time instructions can refer to instructions that do not require immediate execution and return results. Their execution time does not have strict real-time requirements and can be executed when the system is relatively idle, according to a preset schedule, or triggered by specific conditions. For example, non-real-time instructions may include sporadic pulls of static data from the charging facility. This instruction does not require immediate execution at a specific time. Charging facility site information (such as site location and opening hours) and power information (such as the maximum power and rated power of the charging pile) generally do not change frequently in a short period of time. For example, the charging pile operation platform can automatically execute sporadic pulls of static data from the charging facility in the early morning hours when the system load is low, updating the platform database with the latest site and power information for user query and use. Another example of a non-real-time instruction may include a pre-adjustment power notification, which is used to prepare for power adjustments in advance rather than requiring immediate power adjustments. This may be triggered by factors such as grid load forecasts and changes in electricity pricing policies, and the execution time may be advanced. For example, based on a forecast of future electricity load, a pre-adjustment power notification may be sent to the charging facility operator in advance, informing them that the grid load will be high during a certain time period (such as from 10:00 AM to 12:00 PM the next day) and suggesting that the output power of the charging piles be appropriately reduced. Upon receiving the notification, the charging facility operator can arrange to adjust the power at an appropriate time based on their own circumstances, rather than executing the adjustment immediately.

[0109] Non-real-time instructions do not require immediate execution and can be processed when resources are relatively idle, avoiding resource competition and performance degradation caused by concentrated execution of tasks during busy periods of the system. Since non-real-time instructions do not have strict real-time requirements, there is no need to consider complex real-time scheduling algorithms and priority management mechanisms during design, which simplifies the system architecture and development difficulty. For some instructions that require the collection of large amounts of data for analysis, non-real-time execution can wait for sufficient data accumulation to obtain more accurate analysis results. Non-real-time instructions can bring multiple related tasks together for batch processing, improve processing efficiency, and reduce system overhead. Figure 5As shown in the figure, after receiving the control instructions sent by the power grid control center, the charging facility uses the internal instruction parsing module to interpret the instructions. This module has the ability to identify the different control requirements and parameters in the instructions and can split the comprehensive control instructions into specific control contents for the terminal according to preset rules and protocols. During the parsing process, the charging facility divides the instructions into real-time control instructions and non-real-time instructions based on the nature of the instructions and the execution time requirements. Real-time control instructions usually involve urgent adjustments to the real-time operating status of the terminal, such as immediately adjusting the charging power, pausing or resuming charging, etc. Non-real-time instructions may be operations that are not time-sensitive, such as modifying terminal configuration parameters and reporting statistical information.

[0110] For the real-time control instructions obtained through the analysis, the charging facility will immediately send them to the connected terminal through the network. To ensure the timeliness of the instructions, the charging facility will use a high-speed and stable communication channel, and give priority to the transmission of real-time control instructions to reduce transmission delays. After receiving the real-time control instructions, the terminal will quickly perform the corresponding operations. For example, according to the instruction to adjust the charging power in real time, the charging terminal immediately adjusts the output current and voltage to meet the real-time scheduling needs of the power grid. The charging facility will not send non-real-time instructions immediately, but will first monitor the network load. Non-real-time instructions will only be sent to the terminal when the network load meets the second preset condition. The second preset condition is usually a threshold set based on factors such as the network bandwidth, traffic, and response time. For example, the network bandwidth utilization rate is lower than a certain proportion or the network delay is less than a specific value.

[0111] When network load conditions are met, the charging facility will send non-real-time commands to the terminal in a specific order and frequency. These commands may contain multiple batches or types of non-real-time control content. The charging facility will arrange the transmission sequence appropriately to avoid network congestion. After receiving the non-real-time commands, the terminal will make corresponding configuration adjustments or report information based on the command content. Because non-real-time commands do not require a strict time limit, the terminal can complete these operations step by step without affecting normal charging functions.

[0112] For example, when the grid control center formulates charging power adjustment instructions based on network-wide data, for example, if the grid control center determines that the current grid load for electric vehicles in a certain area is high and the charging power for electric vehicles needs to be reduced, the grid control center generates instructions for the charging facility operators in that area. The instructions contain information such as the identification of the electric vehicle requiring power adjustment, the target charging power, and the adjustment time. The instructions are sent via the communication network to the corresponding operator management platform, which parses the instructions and identifies the charging piles and electric vehicles that need to execute them. The instructions are then distributed to the corresponding charging piles. Upon receiving the instructions, the charging piles immediately adjust the charging power of the corresponding electric vehicles and feedback the adjustment results to the operator management platform, which then uploads the feedback to the grid control center. For instructions with high real-time requirements, such as emergency power adjustment instructions, a reliable transmission protocol and retransmission mechanism are used to ensure accurate instruction delivery and keep transmission latency within 100 milliseconds.

[0113] By parsing control instructions into real-time and non-real-time instructions and adopting different sending strategies, precise control of terminals can be achieved, meeting the scheduling requirements of different power grid scenarios. Non-real-time instructions are sent when the network load is low, avoiding additional burden during busy network conditions, effectively utilizing network resources, and improving the efficiency and stability of the entire system.

[0114] Specifically, control commands are sent to the corresponding operator management platform, which parses and distributes them, transmitting them to the associated charging facilities. These facilities then relay the commands to the corresponding electric vehicles. For control commands requiring high real-time performance, a high-priority transmission method is used to ensure that the commands reach the target device quickly and accurately.

[0115] This demonstrates the proposed two-level collaborative transmission architecture, spanning the power grid and charging facility operator layers. This architecture breaks down traditional single-level transmission into two processing stages, classifying, preprocessing, and aggregating data at the charging facility operator level. This reduces the amount of data communicated directly with the grid control center, lowering the probability of network congestion and effectively reducing transmission latency. This architecture enhances the system's hierarchical management and distributed processing capabilities, improving its scalability and flexibility.

[0116] See also Figure 6 , Figure 6 The schematic flow chart of the data transmission method based on the collaboration between the power grid and the charging facility according to the embodiment of the present disclosure is shown. The data transmission method based on the collaboration between the power grid and the charging facility according to the embodiment of the present disclosure can be deployed on the terminal or the server. Figure 6 In the embodiment, the data transmission method 600 based on the collaboration between the power grid and the charging facility may further include the following steps.

[0117] In step 610, the first type of power data is sent to the power grid layer based on a real-time communication method, and the second type of power data is sent to the power grid layer based on a non-real-time communication method; wherein the non-real-time communication method includes communication performed when the network load meets a first load condition;

[0118] At step 620, a control instruction for the charging facility is obtained from the power grid layer, wherein the control instruction is determined by the power grid layer based on the first type of power data and / or the second type of power data and a global scheduling strategy;

[0119] At step 630, the control instruction is parsed to obtain a real-time control instruction and a non-real-time instruction for the terminal;

[0120] In step 640, the real-time control instruction is sent to the terminal in real time, and the non-real-time instruction is sent to the terminal when the network load meets a second preset condition.

[0121] It should be noted that the method of the embodiments of the present disclosure can be performed by a single device, such as a computer or server. The method of the embodiments of the present disclosure can also be applied in a distributed scenario, where multiple devices cooperate to perform the method. In such a distributed scenario, one of the multiple devices may only perform one or more steps of the method of the embodiments of the present disclosure, and the multiple devices will interact with each other to complete the method.

[0122] It should be noted that the above description is limited to some embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in an order different from that described in the above embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0123] Based on the same technical concept, corresponding to any of the above embodiments and methods, the present disclosure also provides a data transmission device based on the cooperation between the power grid and the charging facility, see Figure 7 The data transmission device based on the collaboration between the power grid and the charging facility is applied to the power grid layer and includes:

[0124] a power grid acquisition module configured to acquire first-type power data from a charging facility based on a real-time communication method and to acquire second-type power data from the charging facility based on a non-real-time communication method; wherein the non-real-time communication method includes communication performed when a network load satisfies a first preset condition;

[0125] a power grid dispatching module, configured to obtain a control instruction for the charging facility based on the first type of power data and / or the second type of power data and a global dispatching strategy;

[0126] The power grid sending module is used to send the control instructions to the charging facility for the charging facility to parse and obtain real-time control instructions and non-real-time instructions for the terminal connected to the charging facility; wherein the real-time control instructions are sent to the terminal in real time, and the non-real-time instructions are sent to the terminal when the network load meets a second preset condition.

[0127] Based on the same technical concept, corresponding to any of the above embodiments and methods, the present disclosure also provides a data transmission device based on the cooperation between the power grid and the charging facility, see Figure 8 The data transmission device based on the collaboration between the power grid and the charging facility is applied to the charging facility, and includes:

[0128] a charging party sending module, configured to send the first type of power data to the power grid layer based on a real-time communication method, and to send the second type of power data to the power grid layer based on a non-real-time communication method; wherein the non-real-time communication method includes communication performed when the network load meets a first load condition;

[0129] a charging party acquisition module, configured to acquire a control instruction from the power grid layer for the charging facility party, wherein the control instruction is determined by the power grid layer based on the first type of power data and / or the second type of power data and a global scheduling strategy;

[0130] A parsing module, configured to parse the control instructions to obtain real-time control instructions and non-real-time instructions for the terminal;

[0131] The charging party sending module is further configured to send the real-time control instruction to the terminal in real time, and to send the non-real-time instruction to the terminal when the network load meets a second preset condition.

[0132] For the convenience of description, the above devices are described as being functionally divided into various modules. Of course, when implementing the present disclosure, the functions of each module can be implemented in the same or multiple software and / or hardware.

[0133] The device of the above embodiment is used to implement the corresponding data transmission method based on collaboration between the power grid and the charging facility in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be repeated here.

[0134] Based on the same technical concept, corresponding to any of the above-mentioned embodiment methods, the present disclosure also provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute the data transmission method based on collaboration between the power grid and the charging facility as described in any of the above embodiments.

[0135] The computer-readable media of this embodiment include permanent and non-permanent, removable and non-removable media that can be used to store information by any method or technology. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0136] The computer instructions stored in the storage medium of the above embodiment are used to enable the computer to execute the data transmission method based on collaboration between the power grid and the charging facility as described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0137] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present disclosure (including the claims) is limited to these examples. Within the scope of the present disclosure, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present disclosure as described above, which are not provided in detail for the sake of clarity.

[0138] In addition, to simplify the description and discussion, and so as not to obscure the embodiments of the present disclosure, known power / ground connections to integrated circuit (IC) chips and other components may or may not be shown in the provided figures. In addition, devices may be shown in the form of block diagrams to avoid obscuring the embodiments of the present disclosure, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform on which the embodiments of the present disclosure are to be implemented (i.e., these details should be fully within the purview of those skilled in the art). Where specific details (e.g., circuits) are set forth to describe exemplary embodiments of the present disclosure, it will be apparent to those skilled in the art that the embodiments of the present disclosure may be implemented without these specific details or with variations in these specific details. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0139] Although the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those skilled in the art based on the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.

[0140] The embodiments of the present disclosure are intended to cover all such substitutions, modifications, and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A data transmission method based on collaboration between a power grid and charging facilities, characterized in that: Applied to the power grid layer, the method includes: Acquiring first-type power data from a charging facility based on a real-time communication method, and acquiring second-type power data from the charging facility based on a non-real-time communication method; wherein the non-real-time communication method includes communication performed when a network load satisfies a first preset condition; Obtaining a control instruction for the charging facility based on the first type of power data and / or the second type of power data and a global scheduling strategy; The control instruction is sent to the charging facility for parsing by the charging facility to obtain real-time control instructions and non-real-time instructions for the terminal connected to the charging facility; wherein the real-time control instruction is sent to the terminal in real time, and the non-real-time instruction is sent to the terminal when the network load meets a second preset condition.

2. The method according to claim 1, characterized in that The power grid communicates with different charging facilities based on the same first communication protocol; terminals connected to the same charging facility communicate based on the same second communication protocol, the first communication protocol being different from the second communication protocol; Alternatively, the second communication protocols adopted by different charging facilities are the same or different.

3. The method according to claim 2, characterized in that Acquiring first-category power data from the charging facility based on real-time communication includes: Acquiring first-category power data of the charging facility in real time based on a designated communication channel; wherein the first-category power data is obtained by the charging facility through the following processing: collecting real-time charging data of the corresponding terminal based on the second communication protocol, and converting the real-time charging data into first intermediate data based on the first communication protocol; Performing data anomaly detection on the first intermediate data to obtain abnormal data; Marking and / or removing the abnormal data in the first intermediate data to obtain processed first intermediate data; The processed first intermediate data is clustered and / or compressed to obtain the first category of power data.

4. The method according to claim 1, wherein Acquiring the second type of power data from the charging facility based on a non-real-time communication method includes: The second type of power data of the charging facility is obtained based on a preset time interval when the network load meets the first preset condition; wherein, the second type of power data is obtained by the charging facility collecting non-real-time data of the corresponding terminal based on the second communication protocol, and converting the non-real-time data based on the first communication protocol; the second type of power data is stored in the database of the charging facility.

5. The method according to claim 3, characterized in that Also includes: detecting an operating parameter of the designated communication channel, the operating parameter comprising at least one of bandwidth, latency, and packet loss rate; In response to the operating parameter exceeding a preset threshold, the first type of power data is switched to a backup communication channel for data transmission, or corresponding network resources are allocated based on the real-time requirement of the first power data.

6. The method according to claim 1, characterized in that The first type of power data includes charging data of a terminal connected to a charging device during a charging process, wherein the charging data includes at least one of the following: charging current, charging voltage, battery state of charge, and charging time; The second type of power data includes attribute information and / or charging history records of the terminal, and the attribute information includes a terminal identification and / or a terminal model.

7. A data transmission method based on collaboration between a power grid and charging facilities, characterized in that: Applied to charging facilities, the method includes: Sending the first type of power data to the power grid layer based on a real-time communication method, and sending the second type of power data to the power grid layer based on a non-real-time communication method; wherein the non-real-time communication method includes communication performed when the network load meets the first load condition; Obtaining a control instruction for the charging facility from the power grid layer, wherein the control instruction is determined by the power grid layer based on the first type of power data and / or the second type of power data and a global scheduling strategy; Parsing the control instructions to obtain real-time control instructions and non-real-time instructions for the terminal; The real-time control instruction is sent to the terminal in real time, and the non-real-time instruction is sent to the terminal when the network load meets a second preset condition.

8. A data transmission device based on the collaboration between the power grid and the charging facility, characterized in that: Applied to the power grid layer, including: a power grid acquisition module configured to acquire first-type power data from a charging facility based on a real-time communication method and to acquire second-type power data from the charging facility based on a non-real-time communication method; wherein the non-real-time communication method includes communication performed when a network load satisfies a first preset condition; a power grid dispatching module, configured to obtain a control instruction for the charging facility based on the first type of power data and / or the second type of power data and a global dispatching strategy; a power grid transmission module, configured to transmit the control instruction to the charging facility for parsing by the charging facility to obtain a real-time control instruction and a non-real-time instruction for a terminal connected to the charging facility; wherein the real-time control instruction is transmitted to the terminal in real time, and the non-real-time instruction is transmitted to the terminal when the network load satisfies a second preset condition; Alternatively, when applied to a charging facility, the device includes: a charging party sending module, configured to send the first type of power data to the power grid layer based on a real-time communication method, and to send the second type of power data to the power grid layer based on a non-real-time communication method; wherein the non-real-time communication method includes communication performed when the network load meets a first load condition; a charging party acquisition module, configured to acquire a control instruction from the power grid layer for the charging facility party, wherein the control instruction is determined by the power grid layer based on the first type of power data and / or the second type of power data and a global scheduling strategy; A parsing module, configured to parse the control instructions to obtain real-time control instructions and non-real-time instructions for the terminal; The charging party sending module is further configured to send the real-time control instruction to the terminal in real time, and to send the non-real-time instruction to the terminal when the network load meets a second preset condition.

9. An electronic device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium, characterized in that The non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to cause a computer to execute the method according to any one of claims 1 to 7.

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