An information transmission and sharing platform for power grid cloud terminal services

Abstract

This invention discloses an information transmission and sharing platform for power grid cloud terminal services, relating to the field of power grid cloud terminal service technology, including identity information management and power grid cloud platform data management. A further improvement of the technical solution of this invention lies in that: the identity information management includes the distribution of identity information for power grid equipment, which includes the following steps: S1, preparatory work before information distribution; S2, information distribution; S3, information data transmission. This invention, through the extensive collection and precise matching of information from various links of the power system, not only strongly supports existing businesses but also expands the industrial chain, driving innovation in market-oriented business models such as integrated energy services and electric vehicles. Furthermore, it can apply big data analytics to extract value from the massive data flow of customer resources, generating profitable data service businesses and increasing user participation in demand response.

Description

Technical Field

[0001] This invention relates to the field of power grid cloud terminal service technology, and specifically to an information transmission and sharing platform for power grid cloud terminal services. Background Technology

[0002] With the rapid development of power grid technology, the number of large-scale management information systems is constantly increasing, covering a wide range and serving a large number of customers. This poses new challenges to the power grid equipment operation data network. The large network latency differences caused by the wide geographical span of the network result in reduced service quality for customers in different network regions when accessing services deployed in a centralized manner. On the other hand, the tight network bandwidth resources lead to strong bursts of customer access and obvious repeated access to hot content, causing network congestion and slow response, which in turn reduces network stability. With the development of the communications industry, traditional network communication equipment is constantly being upgraded. The current 5G wave is in full swing, and the market has increasingly higher requirements for equipment such as data center switches. These requirements are reflected in the port speed and equipment management. The port speed of mainstream data centers has gradually upgraded from 10G to 25G, and the next-generation 56G optical port connector is also on the agenda.

[0003] With the increase in port speed, the management of devices on the switch has become more stringent. For example, the power consumption of the chip also increases with the increase in port speed, so the monitoring of temperature and power consumption on the board becomes more complex. Also, for high-speed signals, there are more stringent requirements for noise, so the routing on the board needs to be more comprehensively controlled during the design phase in order to obtain information data from power production and grid services and to fully transmit and share data of the entire power grid system. Therefore, there is an urgent need to propose an information transmission and sharing platform for power grid cloud terminal services. Summary of the Invention

[0004] This invention provides an information transmission and sharing platform for power grid cloud terminal services to solve the problems mentioned in the background art.

[0005] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows:

[0006] An information transmission and sharing platform for power grid cloud terminal services includes identity information management and power grid cloud platform data management.

[0007] A further improvement of the technical solution of the present invention is that: the identity information management includes the distribution of identity information of power grid equipment, and the distribution of identity information of power grid equipment includes the following steps: S1, preparatory work before information distribution; S2, information distribution; S3, information data transmission.

[0008] A further improvement of the technical solution of the present invention is that: step S1 includes security authentication of user information, the security authentication includes security carrier, key management and signature protection, and the power grid user identity is identified through authentication information to realize information transmission and sharing of terminal services. There are two situations for the security authentication. When the authentication is successful, the cloud information service is started. The cloud information service finds the corresponding user information and obtains the power grid transmission data information.

[0009] A further improvement to the technical solution of this invention lies in the following: the corresponding user information consists of steps such as user registration, balance inquiry, package selection, payment terminal, and payment completion. The corresponding user information also includes: Step 1, the data service platform collects and summarizes the information; Step 2, the data service platform transmits the collected information to the database and data sharing module; Step 3, the data sharing module transmits the information to the database and various data display platforms, where the database categorizes and stores the collected information and establishes corresponding storage databases; Step 4, the data service platform transmits the data to various data display platforms, allowing users to access the data through these platforms.

[0010] A further improvement of the technical solution of the present invention is that: in step S2, the information terminal uploads the voucher, collects materials (material 1, material 2, material 3... material n) and aggregates them to the corresponding different devices (device 1, device 2, device 3... device n). The specific transmission method of the aggregation includes LTE power wireless private network, satellite communication, 5G mobile network, Ethernet, and wide area narrowband Internet of Things.

[0011] A further improvement of the technical solution of the present invention is that the power grid cloud platform data management includes an operation data acquisition unit, a data publishing unit, a platform management unit, a communication unit, and a scheduling control unit.

[0012] A further improvement of the technical solution of this invention is as follows: the operation data acquisition unit is connected to multiple acquisition nodes to acquire power grid equipment operation data in real time; the data publishing unit is used for data storage, management, and network-wide publishing, and consists of three functional modules: data management, data storage, and data publishing; the platform management unit is used for internal configuration management of the cloud platform and includes a statistical analysis module and a network security module; the communication unit is used to process business requests from end customers and achieve wide area network transmission optimization; the scheduling control unit determines the scheduling strategy, scheduling content, and node selection based on content frequency, customer location, customer behavior, and network measurement reporting data; the operation data acquisition unit is configured to have multiple tasks working concurrently, acquiring power grid equipment operation data in real time from data nodes with dynamically changing network addresses; the data acquisition nodes obtain real-time power operation data from the field through a serial interface; the acquisition unit acquires power grid equipment operation data from the acquisition nodes, each acquisition node caches data within a acquisition cycle, and the acquisition unit acquires real-time data from the acquisition nodes before the data in the acquisition nodes is updated.

[0013] A further improvement of the technical solution of the present invention is that: the statistical analysis module is used to collect bandwidth traffic data, traffic cache data, node traffic ratio, and resource access statistics of the cloud platform, perform customer behavior analysis, and provide them to an external data analysis system; the network security module is used for customer identity authentication and secure content access.

[0014] Due to the adoption of the above technical solution, the technical progress achieved by this invention compared to the prior art is as follows:

[0015] 1. This invention provides an information transmission and sharing platform for power grid cloud terminal services, which integrates data collection and publishing, network detection, and data transmission functions, reducing network congestion and improving service stability when handling a large number of customer visits.

[0016] 2. This invention provides an information transmission and sharing platform for power grid cloud terminal services. The platform is open and shared, and the ubiquitous power Internet of Things has a high degree of openness at both the business and technical levels. The standardization of data models will break down various business barriers, promote the integration of multiple business data and their sharing and common use among power grid companies, users and other entities. At the same time, the standardized access ports enable various terminals such as distributed power sources and energy storage to be plug-and-play in the platform.

[0017] 3. This invention provides an information transmission and sharing platform for power grid cloud terminal services. By extensively collecting and accurately matching information from all aspects of the power system, it can not only strongly support existing businesses, but also expand the industrial chain and drive innovation in market-oriented business models such as integrated energy services and electric vehicles. On the other hand, it can apply big data analysis technology to extract value from the massive data flow of customer resources and generate profitable data service businesses.

[0018] 4. This invention provides an information transmission and sharing platform for power grid cloud terminal services. By fitting actual user data and collecting information such as user satisfaction, it can better obtain the corresponding electricity price coefficient, which greatly improves the user's enthusiasm for participating in demand response. Attached Figure Description

[0019] Figure 1 This is a flowchart of the present invention;

[0020] Figure 2 This is a flowchart of the security authentication process of the present invention;

[0021] Figure 3 This is a flowchart illustrating the information data transmission method of the present invention;

[0022] Figure 4 This is a flowchart illustrating the corresponding user information flow of the present invention.

[0023] Figure 5 This is a flowchart illustrating the specific steps involved in providing the corresponding user information in this invention. Detailed Implementation

[0024] The present invention will be further described in detail below with reference to embodiments:

[0025] Example 1

[0026] like Figure 1-5As shown, this invention provides an information transmission and sharing platform for power grid cloud terminal services, including identity information management and power grid cloud platform data management. Identity information management includes the distribution of power grid equipment identity information, which comprises the following steps: S1, preparatory work before information distribution; S2, information distribution; S3, information data transmission. Step S1 includes secure authentication of user information, which includes a secure carrier, key management, and signature protection. The authentication information identifies the power grid user's identity, enabling information transmission and sharing of terminal services. The secure authentication has two scenarios: when authentication is successful, cloud-based information services are initiated. The information service locates the corresponding user information and obtains power grid transmission data. This corresponding user information comprises steps such as user registration, balance inquiry, package selection, payment terminal access, and payment completion. The process also includes: Step 1: The data service platform collects and summarizes the information; Step 2: The data service platform transmits the collected information to the database and data sharing module; Step 3: The data sharing module transmits the information to the database and various data display platforms. The database categorizes and stores the collected information and establishes corresponding storage databases; Step 4: The data service platform transmits the data to various data display platforms, allowing users to access the data through these platforms.

[0027] Example 2

[0028] like Figure 1-5 As shown, based on Embodiment 1, the present invention provides a technical solution: Preferably, in step S2, the information terminal uploads vouchers, collects materials (material 1, material 2, material 3... material n) and aggregates them to corresponding different devices (device 1, device 2, device 3... device n). The specific transmission method for the aggregation includes LTE power wireless private network, satellite communication, 5G mobile network, Ethernet, and wide area narrowband Internet of Things. The power grid cloud platform data management includes an operation data acquisition unit, a data publishing unit, a platform management unit, a communication unit, and a scheduling control unit.

[0029] Example 3

[0030] like Figure 1-5As shown, based on embodiments 1-2, the present invention provides a technical solution: Preferably, the operation data acquisition unit is connected to multiple acquisition nodes to collect real-time operation data of power grid equipment; the data publishing unit is used for data storage, management, and network-wide publishing, and consists of three functional modules: data management, data storage, and data publishing; the platform management unit is used for internal configuration management of the cloud platform and includes a statistical analysis module and a network security module; the communication unit is used to process business requests from end customers and achieve wide area network transmission optimization; the scheduling control unit determines the scheduling strategy, scheduling content, and node selection based on content frequency, customer location, customer behavior, and network measurement reporting data; the statistical analysis module is used for data collection... The cloud platform's bandwidth traffic data, traffic cache data, node traffic ratio, and resource access statistics are used for customer behavior analysis and provided to an external data analysis system. The network security module is used for customer authentication and secure content access. The data acquisition unit is configured with multiple tasks working concurrently to collect real-time power grid equipment operation data from data nodes with dynamically changing network addresses. Data acquisition nodes obtain real-time power operation data from the field via a serial interface. The acquisition unit collects power grid equipment operation data from acquisition nodes; each acquisition node caches data within a collection cycle, while the acquisition unit collects real-time data from the acquisition nodes before data updates. The acquisition unit includes a connection module and a transceiver module. The receiving module is used to establish a Socket connection with the acquisition nodes; the transceiver module encapsulates the data transmission protocol between the acquisition nodes, enabling the sending and receiving of data packets. In the multi-task mechanism: the main task is responsible for system initialization. First, it reads the configuration files of each acquisition node from the database, including IP address, port, and ID, and stores them in the configuration file list. Second, it creates monitoring tasks and data reading tasks. The monitoring task listens for the latest network address of each acquisition node to ensure a reliable communication connection between the system and the acquisition nodes. The data reading task is used to collect, process, and store real-time power operation data from multiple acquisition nodes. By continuously adjusting the number of data acquisition subtasks, the final result should meet the requirement of ensuring stable system operation. To achieve efficient and real-time data acquisition, each data acquisition subtask includes the following steps: Step 1: Establish a connection with the acquisition node by calling the connection module. If the connection is successful, proceed to Step 2; if the connection fails, reread the IP address and port of the acquisition node. If the connection still fails, determine that the acquisition node is experiencing a communication error and terminate the data acquisition subtask. Step 2: Send a data acquisition command to the acquisition node by calling the message sending function of the transceiver module. Step 3: Receive the data returned from the acquisition node by calling the message receiving function of the transceiver module. If a response message is received, proceed to Step 4; if no response message is received, request real-time data from the acquisition node again. If the request still fails, determine that the acquisition node is experiencing a communication error and terminate the data acquisition subtask.Step 4: Extract real-time power operation data from the response messages returned by the acquisition nodes. First, store the data in a buffer queue for direct access by the client browser, and then store it in the database as a backup. Step 5: The data acquisition subtask enters a sleep state. After the sleep state ends, the next round of data acquisition begins. To ensure the system acquires all data from the acquisition nodes simultaneously, if the first acquisition fails to obtain all the required data, the subtask is marked as having a read timeout, and the data acquisition command is restarted. If the acquisition succeeds again, the read timeout flag is removed. When the network address of the acquisition node is unstable, to establish a reliable communication connection with the node and improve the system's adaptability to dynamic network changes, a monitoring task is used to continuously monitor requests from the acquisition nodes. A task queue is used in the implementation of the monitoring task. By reusing the tasks created in the task queue, unnecessary CPU consumption caused by creating and destroying new tasks is avoided, and the system response speed is improved. Monitoring task implementation process: Step 1: Initialize the task queue. First, define a task queue within the monitoring task. The task queue can hold a fixed number of tasks. The number of tasks can be adjusted, but should not be excessive to avoid overconsumption of system resources. Step 2: When the IP address and port of a data collection node change, or a new data collection node is added, the data collection node actively sends a request to the monitoring port. Upon receiving the request, the monitoring task calls the task queue manager to create a task to handle the request. When the number of tasks reaches the basic capacity of the task queue, creation stops, and new requests are added to the waiting queue. Step 3: The task extracts the IP address and port from the messages sent by the data collection node and updates this information to the configuration file list. Step 4: When a termination event occurs, the task queue is closed, and the monitoring task stops. In a multi-task environment, the monitoring task needs to write the latest data collection node configuration file to the configuration file list, and the data reading task needs to read the IP address and port of the data collection node from the configuration file list. When read and write operations occur simultaneously, task synchronization issues can arise. Therefore, access to the data collection node configuration file list must be synchronized and mutually exclusive to ensure the safe operation of each task. The mutual exclusion operation on the data collection node configuration file list is encapsulated in a task-safe class, which provides two interfaces to each task: an interface for reading the configuration file and an interface for modifying the configuration file. Read and write operations are performed on each configuration file, so mutual exclusion operations must be performed on each configuration file. Local blocking is implemented during the process to avoid conflicts when reading and writing configuration files. In combination with the power grid data processing cloud platform architecture, this invention adopts a dual-machine hot backup method to deploy the domain name resolution server and management platform.Peripheral cache nodes are deployed in provincial and / or municipal companies to provide network optimization for customers in relevant areas. The master node is the core of the entire cloud platform's operation, management, and maintenance. Utilizing the abundant high-bandwidth network resources of the power communication private network, the cloud platform's central unit's speed requirements for the backbone network links are met, achieving a network environment with the shortest hop count to each peripheral cache node. As the core of the cloud platform, the master node does not directly participate in serving end customers but acts as the central hub of the cloud platform's operation, playing two key roles: managing the network elements of the power grid data processing cloud platform system, providing network node monitoring, remote configuration, fault reporting, and recovery capabilities for the overall power grid data processing cloud platform operation network; and managing the cloud platform's data publishing, publishing the required service content to all peripheral cache nodes in appropriate formats and methods. Peripheral cache nodes are the nodes that directly provide services to customers. Ideally, peripheral cache nodes should be deployed as close as possible to the customers' network nodes. The primary functions of the end-level cache nodes include: providing direct services to a large number of customers; enhancing service capabilities through a distributed service mechanism to meet the demands of large-scale development services; and deploying cloud platform end-level cache nodes at the network backbone nodes of provincial companies and directly affiliated units. The end-level cache nodes adopt a three-tier storage architecture, managing the data lifecycle based on factors such as access frequency and importance, achieving tiered storage and automatic data migration between multi-tier storage devices. A hybrid storage architecture is built using RAM, flash memory, and hard disks, leveraging the high performance advantages of RAM and flash memory while also considering the high capacity and low cost of hard disk drives. The third-level storage (L3) uses low-cost hard disks with relatively low read speeds (around 240 Mbit / s) to store all cached data provided by the system. The second-level storage (L2) uses flash memory, which is relatively more expensive than hard disks but has higher read speeds (around 4 Gbit / s). Customer requests are recorded and statistically analyzed, and a predetermined algorithm is used to calculate data frequency. Files with frequencies reaching a certain threshold are stored in this unit, and frequency statistics and resource updates are performed periodically. Level 1 storage (L1) uses RAM with the highest read speed (around 160 Gbit / s) for data storage. This unit stores the most up-to-date / sensitive ("hottest") data, such as the 20% of resources most frequently accessed by 80% of customers. For data recently requested by a customer, if the data is read from L3 or L2, RAM will also retain this data for a certain period so that other customers who might request the data can quickly access it. If, after a certain period, the data no longer meets the frequency requirement for storage in L1, the system will delete it from RAM.

[0031] The following section will explain in detail the working principle of the information transmission and sharing platform of the power grid cloud terminal service.

[0032] like Figure 1-5As shown, firstly, the information transmission and sharing platform of the power grid cloud terminal service includes identity information management and power grid cloud platform data management. Identity information management distributes the identity information of grid devices. Before information distribution, user information is securely authenticated. The authentication information identifies the identity of the power grid user, realizing the information transmission and sharing of the terminal service. The security authentication has two scenarios: when authentication is successful, the cloud information service is activated, the corresponding user information is found, and the power grid transmission data information is obtained; when authentication fails, the system returns to the service platform for re-authentication. After manual authentication, the data information is obtained. Furthermore, the information terminal uploads credentials, collects materials (material 1, material 2, material 3... material n), and aggregates them to the corresponding different devices (device 1, device 2, device 3... device n) to realize the data transmission and sharing of information.

[0033] The present invention has been described in detail above. However, modifications or improvements can be made to it, which will be obvious to those skilled in the art. Therefore, any modifications or improvements that do not depart from the spirit of the present invention are within the scope of protection of the present invention.

Claims

1. An information transmission and sharing platform for power grid cloud terminal services, characterized in that: This includes identity information management and power grid cloud platform data management. The identity information management includes the distribution of identity information for power grid equipment. The distribution of identity information for power grid equipment includes the following steps: S1, preparation work before information distribution; S2, information distribution; S3, information data transmission.

2. The information transmission and sharing platform for a power grid cloud terminal service according to claim 1, characterized in that: Step S1 includes secure authentication of user information. The secure authentication includes secure carrier, key management and signature protection. The authentication information is used to identify the identity of the power grid user and realize the information transmission and sharing of terminal services.

3. The information transmission and sharing platform for a power grid cloud terminal service according to claim 2, characterized in that: The security authentication has two scenarios. When authentication is successful, the cloud information service is activated, which finds the corresponding user information and obtains the power grid transmission data information.

4. The information transmission and sharing platform for a power grid cloud terminal service according to claim 1, characterized in that: The corresponding user information consists of steps such as user registration, balance inquiry, package selection, payment terminal, and payment completion. The corresponding user information also includes the following steps: Step 1: The data service platform collects and summarizes the information; Step 2: The data service platform transmits the collected information to the database and data sharing module; Step 3: The data sharing module transmits the information to the database and various data display platforms. The database classifies and stores the collected information and establishes corresponding storage databases; Step 4: The data service platform transmits the data to various data display platforms, and visitors access the data through the data display platforms.

5. The information transmission and sharing platform for a power grid cloud terminal service according to claim 1, characterized in that: In step S2, the information terminal uploads vouchers, collects materials (material 1, material 2, material 3... material n) and aggregates them to the corresponding different devices (device 1, device 2, device 3... device n). The specific transmission methods for the aggregation include LTE power wireless private network, satellite communication, 5G mobile network, Ethernet, and wide area narrowband Internet of Things.

6. The information transmission and sharing platform for a power grid cloud terminal service according to claim 1, characterized in that: The power grid cloud platform data management includes an operation data acquisition unit, a data publishing unit, a platform management unit, a communication unit, and a dispatch control unit.

7. The information transmission and sharing platform for a power grid cloud terminal service according to claim 6, characterized in that: The operational data acquisition unit is connected to multiple acquisition nodes to collect real-time operational data of power grid equipment; the data publishing unit is used for data storage, management, and network-wide publishing, and consists of three functional modules: data management, data storage, and data publishing; the platform management unit is used for internal configuration management of the cloud platform and includes a statistical analysis module and a network security module; the communication unit is used to process business requests from end customers and optimize wide area network transmission; the scheduling control unit determines the scheduling strategy, scheduling content, and node selection based on content frequency, customer location, customer behavior, and network measurement reporting data.

8. The information transmission and sharing platform for a power grid cloud terminal service according to claim 7, characterized in that: The statistical analysis module is used to collect bandwidth traffic data, traffic cache data, node traffic ratio, and resource access statistics of the cloud platform, perform customer behavior analysis, and provide them to external data analysis systems. The network security module is used for customer authentication and secure access to content.

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