EMS service management method and energy management system of cloud side cooperation platform

Abstract

The invention discloses an EMS service management method and an energy management system of a cloud side collaboration platform, the EMS service management method of the cloud side collaboration platform is used for an edge end of the cloud side collaboration platform, and the EMS service management method comprises the following steps: obtaining predefined EMS service configuration standard information when service configuration is carried out on the edge end, the EMS service configuration standard information is stored in the cloud end of the cloud edge collaboration platform; and deploying the edge end according to the EMS service configuration standard information. According to the method, errors caused by complicated steps of manual configuration debugging can be avoided, and the reliability of the EMS system is improved.

Description

Technical Field

[0001] This invention relates to the field of energy storage technology, and in particular to an EMS service management method and energy management system for a cloud-edge collaborative platform. Background Technology

[0002] With the continuous expansion of the energy storage industry and the increasing diversification of application scenarios, in related technologies, the configuration and commissioning of EMS products for large power plants are carried out manually. However, the manual configuration and commissioning process is complicated, which makes it easy to make mistakes during the configuration process and affect the stability of the system. Summary of the Invention

[0003] This invention aims to at least solve one of the technical problems existing in the prior art. Therefore, one objective of this invention is to propose an EMS service management method for a cloud-edge collaborative platform. This method can avoid errors caused by the complex steps of manual configuration and debugging, thereby improving the reliability of the EMS system.

[0004] The second objective of this invention is to provide a computer storage medium.

[0005] The third objective of this invention is to propose an energy management system.

[0006] To address the aforementioned issues, a first aspect of this invention proposes an EMS service management method for a cloud-edge collaborative platform, used at the edge of the cloud-edge collaborative platform. The EMS service management method includes: obtaining predefined EMS service configuration standard information when configuring services at the edge, wherein the EMS service configuration standard information is stored in the cloud of the cloud-edge collaborative platform; and deploying the edge according to the EMS service configuration standard information.

[0007] According to the cloud-edge collaboration platform EMS service management method of the present invention, by pre-storing EMS service configuration standard information in the cloud, when configuring the edge terminal, users can use the cloud-based EMS service configuration standard information to deploy the edge terminal with one click based on the cloud-edge collaboration platform. This eliminates the need for manual configuration and debugging of a large amount of complex information, avoids errors caused by the complicated steps of manual configuration and debugging, and improves the reliability of the EMS system.

[0008] In some embodiments, deploying the edge device according to the EMS service configuration standard information includes: deploying the edge device in a containerized deployment manner according to the EMS service configuration standard information.

[0009] In some embodiments, the edge device is deployed in a containerized manner according to the EMS service configuration standard information, including: pulling a container image that matches the energy storage device version from the private cloud repository in the cloud; creating a container instance from the container image; and running and managing the container instance according to the EMS service configuration standard information to complete the deployment of the edge device.

[0010] In some embodiments, the EMS service management method further includes: verifying the container image, wherein the verification includes at least authorization file verification and version compatibility verification.

[0011] In some embodiments, the EMS service configuration standard information includes one or more of the following: data acquisition service, data processing service, data forwarding service, predictive analysis service, time series database, and historical database.

[0012] In some embodiments, the EMS service configuration standard information is mapped to at least one type of energy storage device.

[0013] In some embodiments, the EMS service management method further includes: acquiring energy storage device data collected by the device in the cloud-edge collaboration platform; scheduling and controlling the device according to the energy storage device data; and synchronizing the energy storage device data to the cloud.

[0014] In some embodiments, synchronizing the energy storage device data to the cloud includes: synchronizing the energy storage device data to the cloud in an online synchronization mode or an offline synchronization mode.

[0015] In some embodiments, the EMS service management method further includes: in the online synchronization mode, using an incremental synchronization method to synchronize the energy storage device data to the cloud.

[0016] In some embodiments, the EMS service management method further includes encrypting the energy storage device data before synchronizing the energy storage device data to the cloud.

[0017] In some embodiments, the EMS service management method further includes: when performing data queries on the edge, using a load balancing method to allocate data query requests to nodes.

[0018] In some embodiments, the EMS service management method further includes: when performing data queries on the edge, summarizing the data query results using a data sharding method.

[0019] A second aspect of the present invention provides a computer storage medium storing a computer program thereon, wherein the computer program, when executed by a processor, implements the EMS service management method of the cloud-edge collaborative platform described above.

[0020] A third aspect of the present invention provides an energy management system, wherein the energy management system operates a cloud-edge collaborative platform, the cloud-edge collaborative platform comprising: a cloud, wherein the cloud stores predefined EMS service configuration standard information; a device, wherein the device is used to collect data from energy storage devices; and an edge, wherein the edge is communicatively connected to the device and the cloud, and the edge is used to execute the EMS service management method of the cloud-edge collaborative platform of the above embodiment.

[0021] The energy management system according to embodiments of the present invention can avoid errors caused by the complicated steps of manual configuration and debugging, thereby improving the reliability of the EMS system.

[0022] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0023] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a schematic diagram of the architecture of an energy management system according to an embodiment of the present invention; Figure 2 This is a flowchart of an EMS service management method for a cloud-edge collaborative platform according to an embodiment of the present invention; Figure 3 This is a structural block diagram of an energy management system according to an embodiment of the present invention.

[0024] Figure label: Energy Management System 100; Cloud 10; Device 20; Edge 30. Detailed Implementation

[0025] The embodiments of the present invention are described in detail below. The embodiments described with reference to the accompanying drawings are exemplary. The embodiments of the present invention are described in detail below.

[0026] To address the aforementioned issues, the first aspect of this invention proposes an EMS service management method for a cloud-edge collaborative platform. This method avoids errors caused by the complex steps involved in manual configuration and debugging, thereby improving the reliability of the EMS system.

[0027] The following is for reference. Figures 1-2 This invention describes an EMS service management method for a cloud-edge collaborative platform according to an embodiment of the present invention.

[0028] The EMS service management method in this application relies on a cloud-edge collaborative platform. Specifically, the EMS (Energy Management System) mainly encompasses several functions, including data acquisition, network monitoring, control scheduling, and data analysis. This system achieves efficient energy management and optimized allocation by real-time monitoring and intelligent control of all aspects of energy production, distribution, and consumption. In the field of energy storage technology, the EMS system is an intelligent system integrating hardware and software. Its management and scheduling primarily include the battery management system, energy storage converter, and other subsystems communicating with energy storage devices, and is considered the "brain" of the energy storage system. For example, refer to... Figure 1 As shown, the energy management system operates a cloud-edge collaborative platform, which includes a cloud, device-side, and edge-side components. At the device-side, the EMS system communicates with various devices or subsystems such as the battery management system, energy storage converter, coordinating controller, and transformer substation monitoring and control, transmitting data via a common power protocol. Each device at the device-side is responsible for collecting various types of data, such as energy storage device data, and uploading this data to the edge-side. The edge-side then displays and schedules the energy storage device data. Simultaneously, the cloud synchronizes the edge-side configuration, enabling convenient data upload from the edge to the cloud. Therefore, EMS service management based on this cloud-edge collaborative platform architecture can adapt to the ever-expanding scale of the energy storage industry and the increasingly diverse application scenarios. It solves the problems of wasted computing resources and redundancy caused by relying solely on edge computing, as well as network latency, bandwidth pressure, and data loss caused by relying solely on the cloud, thus improving the reliability and real-time performance of the EMS system.

[0029] Based on the aforementioned cloud-edge collaboration platform architecture, the EMS service management method of this application is used at the edge of the cloud-edge collaboration platform, such as... Figure 2 As shown, the method includes at least steps S1-S2, and the specific steps are as follows.

[0030] Step S1: When configuring services at the edge, obtain predefined EMS service configuration standard information. The EMS service configuration standard information is stored in the cloud of the cloud-edge collaboration platform.

[0031] The standard EMS service configuration information can be understood as the general service information that the edge needs to be configured when the EMS system is managed and scheduled. For example, it may include one or more of the following: data acquisition service, data processing service, data forwarding service, predictive analysis service, time series database, and historical database.

[0032] Specifically, due to the differences between independent energy storage and industrial / commercial models, as well as the diversity of functions of energy storage plants, EMS systems also require different versions, and even each energy storage station has customized services. On the one hand, if manual methods are used, the configuration information is complex and diverse, making the manual configuration and debugging steps complicated and prone to errors, which will affect the stability of the EMS system. On the other hand, the complicated deployment of EMS services can also easily lead to dependence on specific developers and mismatch between the operation and maintenance personnel. To address the aforementioned issues, this application predefines universal service configuration information for EMS systems—namely, EMS service configuration standard information—and stores it in the cloud to meet the diverse needs of EMS systems. This allows users to deploy edge devices with a single click using the cloud-edge collaboration platform when configuring services. In simpler terms, the EMS service configuration standard information serves as a unified configuration template, abstracting and unifying the configurations of different energy storage plant equipment and service modules. This enables users to directly access and use the EMS service configuration standard information when configuring edge devices, achieving standardized configuration. This eliminates the need for extensive manual configuration and debugging, reducing the risk of human intervention and configuration errors, and improving the reliability of the EMS system.

[0033] In some embodiments, energy storage devices may have multiple versions, and different versions of energy storage devices have different service requirements for the EMS system. To accommodate the diverse needs of energy storage device versions, the cloud can store multiple different predefined EMS service configuration standard information to suit the configuration requirements of the EMS system under different energy storage device versions. For example, the cloud can store two predefined EMS service configuration standard information: EMS service configuration standard information applicable to version A and EMS service configuration standard information applicable to version B. Based on this, for an EMS system using version A energy storage devices, when configuring the edge terminal, it is necessary to retrieve the EMS service configuration standard information applicable to version A for edge terminal deployment; for an EMS system using version B energy storage devices, when configuring the edge terminal, it is necessary to retrieve the EMS service configuration standard information applicable to version B for edge terminal deployment.

[0034] Step S2: Deploy the edge device according to the EMS service configuration standard information.

[0035] For example, based on the EMS service configuration standard information, containerized deployment, physical server deployment, virtualization deployment, or hybrid deployment can be used to deploy to the edge, without any restrictions.

[0036] According to the cloud-edge collaboration platform EMS service management method of the present invention, by pre-storing EMS service configuration standard information in the cloud, when configuring the edge terminal, users can use the cloud-based EMS service configuration standard information to deploy the edge terminal with one click based on the cloud-edge collaboration platform. This eliminates the need for manual configuration and debugging of a large amount of complex information, avoids errors caused by the complicated steps of manual configuration and debugging, and improves the reliability of the EMS system.

[0037] In some embodiments, deploying the edge device according to EMS service configuration standard information includes deploying the edge device in a containerized deployment manner according to EMS service configuration standard information.

[0038] Specifically, the current industry boom is accompanied by a surge in energy storage devices and increasingly complex and diverse application demands. The service management of different versions of energy storage devices at the edge also varies, requiring different EMS service configuration standards. The information capacity of these EMS service configuration standards can vary. To address this, this application adopts a containerized deployment approach. Containerization, such as Kubernetes, supports automated deployment and optimized resource allocation. This allows for the matching of containerized instances with different resources at the edge and cloud based on information capacity, ensuring seamless connectivity between the cloud and devices for different energy storage plants under the same EMS service configuration standards. This improves the portability and scalability of the EMS system, making system deployment more efficient, faster, and repeatable. Furthermore, based on the aforementioned standardized configuration and containerized management, this application also simplifies the later maintenance of the EMS system, enhancing its flexibility and maintainability.

[0039] In some embodiments, the edge device is deployed in a containerized manner according to the EMS service configuration standard information, including pulling a container image that matches the energy storage device version from a private cloud repository in the cloud; creating a container instance from the container image; and running and managing the container instance according to the EMS service configuration standard information to complete the deployment of the edge device.

[0040] Specifically, the private cloud repository in the cloud is used to manage all resources such as program packages, device versions, configuration files, and license files by module. Each module is stored as an independent containerized unit, thereby ensuring version controllability and traceability of updates. Based on this, when configuring services at the edge, the edge pulls a container image that matches the energy storage device version from the private cloud repository in the cloud, creates a container instance from the container image, and then starts and manages the container instance according to the EMS service configuration standard information, thereby automatically completing the deployment of the edge. This process does not require manual intervention, thereby reducing the risk of manual operation and making the deployment of the edge faster and more efficient.

[0041] For example, when establishing a new energy storage station, the activation status, number of instances, IP configuration, etc. of each resource module can be evaluated according to the on-site requirements to determine the appropriate energy storage device version. Then, based on the EMS service configuration standard information that matches the energy storage device version, the operation and maintenance personnel can execute a one-click start script to automatically complete the deployment at the edge.

[0042] In some embodiments, the EMS service management method further includes verifying the container image, including at least verification of the license file and version compatibility. This ensures the security and stability of the EMS system.

[0043] For example, after pulling a container image that matches the version of the energy storage device from a private cloud repository, the container is first verified to confirm the legality of the authorization file, ensuring that only authorized users or devices can use the specific version of the container image. Then, the compatibility of the container image with the target container platform and operating system is checked to avoid problems such as the EMS system being unable to operate stably due to incompatibility.

[0044] In addition, it should be noted that the EMS system will automatically record all operation logs during the containerized deployment process described above, in order to facilitate subsequent troubleshooting.

[0045] In some embodiments, the standard EMS service configuration information includes one or more of the following: data acquisition service, data processing service, data forwarding service, predictive analytics service, time-series database, and historical database. Thus, by configuring these services at the edge, management and scheduling of devices such as battery management systems, energy storage converters, and other subsystems communicating with energy storage devices can be achieved.

[0046] For example, after the standard configuration information of EMS service is managed in a modular manner in the cloud, each module is stored in an independent containerized manner, which is conducive to tracking the update content of energy storage device version.

[0047] In some embodiments, EMS service configuration standard information is mapped to at least one type of energy storage device.

[0048] Specifically, traditional EMS systems often suffer from repetitive data processing and transmission work due to significant differences in equipment between energy storage plants. To address this issue, this application establishes a mapping relationship between EMS service configuration standard information and at least one type of energy storage device. In other words, a standardized model, namely the EMS service configuration standard information, can map various energy storage devices under different plants. Custom mappings can support the diversity and specificity of plant equipment, thereby achieving compatibility for data from different types of plants uploading to the cloud. For example, if both type A and type B energy storage devices use the same device version, when building a new energy storage station, regardless of whether type A or type B is used, the edge device can be deployed using the EMS service configuration standard information matching that device version. Through this mapping mechanism, compatibility with different devices and different plants can be achieved, enabling rapid adaptation to various application scenarios. Furthermore, based on this standardized configuration, the operation and maintenance configuration work for newly built plants is significantly reduced, avoiding the problem of repeated model configuration and data uploads in traditional systems, and improving the data synchronization response speed from the edge to the cloud.

[0049] In some embodiments, the EMS service management method further includes: acquiring energy storage device data collected by the device in the cloud-edge collaboration platform; scheduling and controlling the device based on the energy storage device data; and synchronizing the energy storage device data to the cloud.

[0050] Specifically, the device side collects data from various energy storage devices through sensors, such as the operating status of the energy storage devices, battery voltage and temperature, electricity consumption, charging and discharging power, and environmental parameters such as gas concentration and fire protection status. Then, by uploading the energy storage device data to the edge, the edge can adjust the device side based on the energy storage device data. At the same time, the energy storage device data is synchronously uploaded to the cloud to achieve efficient and stable data flow between the edge and the cloud. Thus, the cloud-edge collaborative platform architecture enables efficient transmission of energy storage device data, optimizes the utilization of system resources, and improves the flexibility and scalability of the system.

[0051] Before uploading the energy storage device data to the cloud, the edge device needs to preprocess the data. The preprocessing method can be set according to the actual situation. For example, preprocessing includes filtering, normalization, model mapping, and real-time and historical statistics. No specific restrictions are imposed here.

[0052] In some embodiments, synchronizing energy storage device data to the cloud includes: synchronizing energy storage device data to the cloud in an online synchronization mode or an offline synchronization mode.

[0053] Specifically, in related technologies, data from energy storage devices is processed through cloud computing. However, because massive amounts of data, measured in seconds, are directly transmitted from the devices to the cloud server for statistical analysis, frequent data transmission not only increases network latency but also puts pressure on network bandwidth. In the event of a network outage, data loss can also occur. To address these issues, this application, based on a cloud-edge collaborative platform, supports both online and offline synchronization, enabling the energy management system to adapt to different network environments. While ensuring data real-time performance, it also ensures that data is not lost when the network is unstable, thereby improving the system's flexibility, stability, and robustness.

[0054] It should be noted that, in order to ensure that the data of the energy storage devices at the edge and in the cloud are consistent, this application also includes a manual synchronization mechanism. For example, a copy mechanism is used when initializing the model library at the edge and in the cloud to shorten the initialization time, and a separate channel is reserved for manual synchronization.

[0055] For example, in the online synchronization method, energy storage device data is efficiently synchronized by using incremental synchronization through common protocols such as MQTT and message queue brokers for encrypted transmission. This incremental synchronization method relies on a time series library to fit the full data curve to complete the online synchronization of energy storage device data to the cloud. Thus, by adopting incremental synchronization technology, data transmission can be made more efficient, unnecessary duplicate data transmission is avoided, and network burden is reduced. Alternatively, energy storage device data can be exported to a file in a fixed format according to the timestamp, encrypted and compressed, and then synchronized offline to the cloud. In the cloud, the data is decompressed and overwritten according to the timestamp.

[0056] In some embodiments, the EMS service management method further includes encrypting the energy storage device data before synchronizing the energy storage device data to the cloud.

[0057] Specifically, energy storage device data may contain private information. Data leakage during transmission could have serious consequences. Therefore, energy storage device data is encrypted during transmission to ensure its security. The encryption method can be set according to actual needs; no specific restrictions are set here.

[0058] In some embodiments, the EMS service management method further includes using a load balancing method to allocate data query requests to nodes when performing data queries at the edge.

[0059] Specifically, since edge devices have limited resources, managing the load on edge storage nodes is crucial when performing data queries. This application uses a load balancing algorithm to distribute query requests to different storage nodes, thereby avoiding performance degradation or service interruption caused by overloading of certain storage nodes.

[0060] In some embodiments, the EMS service management method further includes summarizing the data query results using a data sharding method when performing data queries on the edge.

[0061] Specifically, data sharding is a technique used to split and distribute data storage. When querying data at the edge, this application uses the above method to aggregate and return the data query results from different storage nodes, ensuring efficient and stable querying.

[0062] A second aspect of the present invention provides a computer storage medium storing a computer program thereon, which, when executed by a processor, implements the EMS service management method of the cloud-edge collaborative platform described above.

[0063] A third aspect of the present invention provides an energy management system 100, such as... Figure 1 and Figure 3 As shown, the energy management system 100 includes a cloud 10, a device 20, and an edge 30.

[0064] The cloud 10 stores predefined EMS service configuration standard information; the device 20 is used to collect data from energy storage devices; the edge 30 is connected to the device 20 and the cloud 10, and the edge 30 is used to execute the EMS service management method of the cloud-edge collaborative platform in the above embodiment.

[0065] The energy management system 100 according to an embodiment of the present invention can avoid errors caused by the complicated steps of manual configuration and debugging, and improve the reliability of the EMS system.

[0066] In summary, the energy management system of this application, based on a cloud platform architecture, integrates standardized configuration and containerized deployment to configure the edge EMS service. Based on the edge configuration, the edge device preprocesses data and then synchronizes the energy storage device data to the cloud, in addition to fulfilling the project's own data processing, event push, and user monitoring operation and maintenance functions. The preprocessed data synchronized from the edge device serves as data support for the cloud. The cloud supports high availability strategies such as configuration replica synchronization, dynamic expansion, and primary / backup switching. Cloud container instances perform batch processing of model data requiring high-performance computing, such as fault tracing and battery analysis. The cloud supports online real-time transmission and offline periodic data replenishment. Thus, by synchronizing station-level configurations through cloud instances, there is no need to parse the power model again, making data easy to upload to the cloud. At the same time, the cloud supports real-time access to analysis data from different types of energy storage devices, promoting unmanned intelligent operation and maintenance of power plants and advanced computing applications such as battery performance prediction, which is conducive to fully exploring the data value of the energy storage system. In addition, the user end provides multi-tenant, multi-platform services to provide users with real-time queries, periodic operation reports, operation revenue statistics, battery analysis, and other comprehensive and omniscient data.

[0067] In the description of this specification, any process or method described in the flowcharts or otherwise herein may be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order according to the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0068] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0069] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any of the following techniques known in the art, or a combination thereof: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0070] Those skilled in the art will understand that all or part of the steps of the methods described in the above embodiments can be implemented by a program instructing related hardware, and the program can be stored in a computer-readable storage medium. When executed, the program includes one or a combination of the steps of the method embodiments.

[0071] Furthermore, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0072] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

[0073] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example.

[0074] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. A method for managing EMS services on a cloud-edge collaborative platform, characterized in that, For the edge terminal of the cloud-edge collaboration platform, the EMS service management method includes: When configuring services at the edge, predefined EMS service configuration standard information is obtained, and the EMS service configuration standard information is stored in the cloud of the cloud-edge collaboration platform. The edge device is deployed according to the EMS service configuration standard information.

2. The EMS service management method for the cloud-edge collaborative platform according to claim 1, characterized in that, Deploying the edge terminal according to the EMS service configuration standard information includes: The edge device is deployed in a containerized manner according to the EMS service configuration standard information.

3. The EMS service management method for the cloud-edge collaborative platform according to claim 2, characterized in that, The edge device is deployed in a containerized manner according to the EMS service configuration standard information, including: Pull a container image matching the energy storage device version from the private cloud repository in the cloud; Create a container instance from the container image; The container instance is run and managed according to the EMS service configuration standard information to complete the deployment at the edge.

4. The EMS service management method for the cloud-edge collaborative platform according to claim 3, characterized in that, The EMS service management method also includes: The container image is verified, and the verification includes at least authorization file verification and version compatibility verification.

5. The EMS service management method for the cloud-edge collaborative platform according to claim 1, characterized in that, The standard configuration information for the EMS service includes one or more of the following: data acquisition service, data processing service, data forwarding service, predictive analysis service, time series database, and historical database.

6. The EMS service management method for the cloud-edge collaborative platform according to claim 1, characterized in that, The EMS service configuration standard information has a mapping relationship with at least one type of energy storage device.

7. The EMS service management method for a cloud-edge collaborative platform according to any one of claims 1-6, characterized in that, The EMS service management method also includes: Acquire energy storage device data collected by the device side in the cloud-edge collaboration platform; The device is scheduled and controlled based on the energy storage device data, and the energy storage device data is synchronized to the cloud.

8. The EMS service management method for the cloud-edge collaborative platform according to claim 7, characterized in that, Synchronizing the data from the energy storage device to the cloud includes: The data from the energy storage device is synchronized to the cloud via online or offline synchronization.

9. The EMS service management method for the cloud-edge collaborative platform according to claim 8, characterized in that, The EMS service management method also includes: In the online synchronization mode, the incremental synchronization method is used to synchronize the data of the energy storage device to the cloud.

10. The EMS service management method for the cloud-edge collaborative platform according to claim 7, characterized in that, The EMS service management method also includes: The energy storage device data is encrypted before being synchronized to the cloud.

11. The EMS service management method for the cloud-edge collaborative platform according to claim 7, characterized in that, The EMS service management method also includes: When performing data queries on the edge, a load balancing method is used to allocate data query requests to nodes.

12. The EMS service management method for the cloud-edge collaborative platform according to claim 11, characterized in that, The EMS service management method also includes: When performing data queries on the edge, the data sharding method is used to summarize the data query results.

13. A computer storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the EMS service management method of the cloud-edge collaboration platform according to any one of claims 1-12.

14. An energy management system, characterized in that, The energy management system operates a cloud-edge collaboration platform, which includes: The cloud, which stores predefined EMS service configuration standard information; The device end is used to collect data from energy storage devices; The edge terminal is communicatively connected to the device terminal and the cloud terminal, and is used to execute the EMS service management method of the cloud-edge collaborative platform according to any one of claims 1-12.

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