CN117914004A - Power monitoring and early warning system and method based on data fusion - Google Patents
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Abstract
The invention relates to the technical field of power production and discloses a power monitoring and early warning system and a method based on data fusion, wherein the power monitoring and early warning system comprises a display terminal and a data integration system for accessing and processing data of a power platform, and the data integration system comprises a gateway layer, a service layer, a data access layer and a storage layer; by integrating relevant data such as a data center platform, a data asset management platform, an intelligent aerial view platform, a power grid management platform, a customer service platform and the like, data fusion is realized, electric power safety production management and marketing management business early warning are realized, and the operation efficiency, safety and customer service quality of the electric power industry are improved.
Description
Technical Field
The invention relates to the technical field of power generation, in particular to a power monitoring and early warning system and method based on data fusion.
Background
Electric power is the basic energy source for various activities and industries in modern society, and is important for the development of economy, the operation of society and the life of people. The power industry is a critical infrastructure industry, and relates to the production, transmission, distribution and sales of electric power, and common power production modes include coal-fired power generation, natural gas power generation, nuclear power generation, hydroelectric power generation, wind power generation, solar power generation and the like, and different power generation modes have different characteristics and environmental influences, and once electric power is produced, electric power needs to be transmitted and distributed through a power grid to be delivered to various users. Power transmission involves high voltage transmission lines and power distribution involves low voltage transmission lines, distributing power to cities, industrial areas, rural areas and homes.
The power industry is undergoing digital transformation, and smart grid technology is introduced to improve the reliability, efficiency and safety of the system. The intelligent power grid utilizes advanced communication and information technology to realize real-time monitoring, control and optimization of the power system.
The digital system in the current power industry comprises a data center platform, a data asset management platform, an intelligent aerial view platform, a power grid management platform, a customer service platform and the like, and each platform can meet the actual needs of a single scene, but becomes an island, the communication of production data of each link cannot be realized, and the production information cannot be subjected to combined analysis in real time. In increasingly complex power networks, a system capable of integrating data of each platform is needed, and multiple aspects of prediction and analysis in power production are supported through fusion processing of multiple platform data, so that the operation efficiency, the safety and the customer service quality of the power industry are improved. Therefore, we propose a power monitoring and early warning system and method based on data fusion.
Disclosure of Invention
The invention aims to provide a power monitoring and early warning system and method based on data fusion, so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: the power monitoring and early warning system based on data fusion comprises a display terminal and a data integration system for accessing and processing the data of a power platform, wherein the power platform comprises a data center platform, a data asset management platform, an intelligent aerial view platform, a power grid management platform, a client service platform and the like, and the data integration system provides data for the display terminal so that a user can obtain statistical analysis for decision making, message notification for early warning and monitoring and the running state of a current power network;
The data integration system comprises a gateway layer, a service layer, a data access layer and a storage layer; the gateway layer provides connection service for the display terminal and establishes a data transmission channel; the service layer adopts a micro-service architecture to provide data access, data cleaning, data fusion, data combination analysis, service management and basic service functions for the data integration system, and the gateway layer is matched with a target micro-service instance accessed by a page through a routing address; the storage layer provides data storage functions, including data caching, persistent storage and columnar storage; the data access layer establishes a connection channel between the service layer and the storage layer, so that the service layer and the storage layer can perform safe and stable data read-write operation.
Preferably, the service layer comprises a pre-processing service group, a real-time processing service group, a business management service group and an infrastructure service group; the method comprises the steps that an adapter and a data transmission protocol connected with a power platform are created through a pre-processing service group, the real-time processing service group is used for processing, analyzing and storing power platform data received in the pre-processing service group, the business management service group is used for providing HTTP interfaces and Websocket message pushing of user interaction for a display terminal, and the infrastructure service group is used for managing operation of all micro-services of a service layer and message communication among services.
Preferably, the gateway layer comprises functions of route matching, TLS encryption, JWT identity authentication and authority verification, and token information is transferred between the display terminal and the server to perform identity authentication and authorization of function access.
Preferably, the pre-processing service group includes a pre-adaptor for docking each platform of the power platform, where the pre-adaptor is used to establish a communication mechanism for each platform of a specific corresponding power platform, and mainly includes formulation of a communication protocol, definition of a transmit-receive data format, disconnection processing and status monitoring.
Preferably, the pre-processing service group adopts a dual-active architecture, and comprises an active node and a standby node, wherein the two nodes mutually back up when processing data, and when the active node fails, needs maintenance or performs upgrading, the standby node takes over service.
Preferably, the real-time processing service group comprises a data cleaning module, a data fusion module, a data analysis module and a data storage module; the data cleaning module is used for carrying out missing value and abnormal value processing on data transmitted by the power platform; the data fusion module fuses different data from the power platform after being processed by the data cleaning module, wherein the fused data comprises metadata and complement of equipment operation information, the metadata is used for generating a more comprehensive and accurate data set, the metadata comprises specification, installation and use information of equipment, and the equipment comprises power generation equipment, power supply equipment, switching equipment, a current carrying conductor and a grounding device; the data analysis module screens, classifies and calculates the data fused by the data fusion module according to a self-defined analysis strategy to generate a prediction result and an early warning severity level of the running states of various devices, wherein the prediction result comprises the load capacity of the devices, the probability of occurrence of faults, the stability of a power network and the energy efficiency ratio of the running of the devices; the data storage module is used for caching or durably storing the fused data and the result generated by the data analysis module.
Preferably, the business management service group comprises a user role management module, a message notification management module, a metadata management module, an early warning threshold management module and a statistical analysis management module, wherein the user role management module is used for defining the use account and the authority allocation of the display terminal, the message notification management module is used for sending early warning messages and inquiry history early warning records in real time for users to make decision analysis and insight into operation faults, the metadata management module is used for displaying basic equipment information and basic elements of production operation, the early warning threshold management module is used for controlling conditions of early warning reminding, during data analysis, judging whether to generate early warning messages and early warning severity level based on the conditions, the statistical analysis management module focuses on analysis historical data, the statistical analysis management module comprises the historical data of operation of statistical analysis equipment, judges whether the installation and the use of each area equipment are reasonable, and also comprises statistical analysis of demand data and renewable energy information of an electric market and prediction of power price fluctuation.
Preferably, the infrastructure service group is used for managing each micro service instance of the service layer, the infrastructure service group provides unified registration, state monitoring and message bus communication functions for the micro service instances, and the message bus adopts a communication mechanism of an event bus to enable each micro service of the service layer to be in loose coupling communication through an event.
Preferably, a method for using the power monitoring and early warning system based on data fusion comprises the following steps:
S1, a data fusion module is accessed to a data center platform and a data asset management platform to obtain registration, classification, identification and installation position information of power equipment, and a comprehensive power asset data catalog is built by an input data storage module;
S2, a data fusion module is connected with the intelligent aerial view platform to obtain power grid topology, equipment state and power load information, electric equipment registration information provided by a data asset management platform is fused, stability of an electric power network and energy efficiency ratio of equipment operation in each area are predicted in a data analysis module, and potential network problems are identified in advance;
s3, the data fusion module is accessed to the power grid management platform to obtain equipment planning and scheduling, network state and energy transaction information, and client information, customer service appeal and bill record data provided by the client service platform are fused, and client satisfaction and electricity utilization trend are predicted in the statistical analysis module, and the overall energy efficiency of the power system is predicted;
and S4, the data fusion module is accessed to the power grid management platform to obtain power market data, demand data and renewable energy source capacity information, the power market data, the demand data and the renewable energy source capacity information are stored into a database through a storage layer, and fluctuation of power price is predicted in the statistical analysis module.
Compared with the prior art, the invention has the beneficial effects that:
1. According to the invention, through integrating the related data of the data center platform, the data asset management platform, the intelligent aerial view platform, the power grid management platform, the customer service platform and the like, the data fusion is realized, the electric power safety production management and the marketing management business early warning are realized, and the operation efficiency, the safety and the customer service quality of the electric power industry are improved.
2. According to the invention, through intelligent analysis of historical data and real-time monitoring data, multi-aspect predictions in power production operation, such as power demand and supply predictions, power grid faults and preventive maintenance, marketing and customer behavior predictions, power price predictions, energy efficiency and energy saving predictions and the like, are made, so that a user can obtain statistical analysis for decision making, message notification for early warning and monitoring and the current operation state of a power network.
Drawings
FIG. 1 is a schematic diagram of a data integration system architecture;
FIG. 2 is a service group partition diagram of a service layer;
FIG. 3 is a schematic diagram of the operation of the front adapter;
fig. 4 is a schematic diagram of a message bus communication connection.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-4, the present invention provides a technical solution: the power monitoring and early warning system based on data fusion comprises a display terminal and a data integration system for processing the data access of a power platform, wherein the power platform comprises a data center platform, a data asset management platform, an intelligent aerial view platform, a power grid management platform, a customer service platform and the like, and the data integration system provides data for the display terminal so that a user can obtain statistical analysis for decision making, message notification for early warning and monitoring and the running state of a power network. The data of the integrated data center platform, the data asset management platform, the intelligent aerial view platform, the power grid management platform and the customer service platform can support prediction and analysis of multiple aspects, so that the operation efficiency, the safety and the customer service quality of the power industry are improved.
The data integration mode mainly comprises the steps of managing all data of the power platform by using a unified database, after the data are cleaned, modeling the data by integrating and arranging fields and combining the design thought of 'object-oriented', and establishing a table structure or a new relation table compatible with different fields. For example, the data center platform and the data asset management platform provide different dimensions of equipment information, but are records of equipment use, the same equipment number can be established, the association inquiry is convenient, redundant fields of information repetition are removed, and data of the two dimensions are integrated into a relational table.
The following is a detailed description of the embodiments:
Embodiment one:
The display terminal comprises a PC client, a service hall large screen display and mobile terminal and the like, so that people at different positions can acquire information conveniently. And the method adopts an Electron frame technology, realizes UI interaction through NATIVECLIENT client modes while developing rapidly, ensures smooth operation of a user interface and improves the use experience of a user.
As shown in fig. 1, the data integration system includes a gateway layer, a service layer, a data access layer and a storage layer; the gateway layer provides connection service for the display terminal and establishes a data transmission channel; the service layer adopts a micro-service architecture to provide data access, data cleaning, data fusion, data combination analysis, service management and basic service functions for the data integration system; the basic service functions comprise load scheduling, micro-service registration, inter-service call, service state management, bus communication and the like, and a service layer adopts SprintBoot + SpringCloud to construct a steady, telescopic and easily-managed distributed system, and the specific steps are as follows:
1. Creating SpringBoot items through SpringInitializer, and adding relevant dependencies of Spring Cloud;
2. Configuring Nacos connection information of a service registry in an application. Yml file;
3. Each micro-service is created separately and configured to connect to the same Nacos service registry;
4. The communication between micro services is realized by using Spring Cloud components such as Feign, ribbon and the like;
5. Starting Nacos a service registration center and all micro services to automatically register micro service examples in Nacos;
6. hystrix (fuse), turbo (aggregate monitor data) and Config (configuration management) components are integrated;
7. the microservice system is deployed to a physical environment.
The storage layer provides data storage functions, including data caching, persistent storage and columnar storage; the data access layer establishes a connection channel between the service layer and the storage layer, so that the service layer and the storage layer can perform safe and stable data read-write operation, redis is selected as a data cache, and has the functions of rapid read-write speed and support of various data structures and key value storage; the PostgreSQL is selected as a persistent relational database, can be acquired and used for free, and supports flexible modification and distribution; clickhouse is selected as a column type storage database, so that high-performance analysis and query of large-scale data can be realized.
The data access layer comprises a cache connection pool, a persistent storage connection pool and a columnar storage connection pool, wherein a cache Redis can use jedis as the connection pool, a persistent storage PostgreSQL can use pgbouncer as the connection pool, and a columnar storage Clickhouse can use druid as the connection pool.
Embodiment two:
as shown in fig. 2, the service layer includes a pre-processing service group, a real-time processing service group, a business management service group and an infrastructure service group; the method comprises the steps that an adapter and a data transmission protocol connected with an electric power platform are established through a pre-processing service group, the real-time processing service group is used for processing, analyzing and storing electric power platform data received in the pre-processing service group, the business management service group is used for providing an HTTP interface for user interaction and Websocket real-time message pushing for a display terminal, HTTP and Webscoket are network protocols for transmitting data between a client page and a background service, an infrastructure service group is used for managing operation of all micro-services of a service layer and message communication among services, the display terminal firstly sends a connection request to a gateway through a Webscoket component, and after connection, different modules of the display terminal send subscription information for acquiring real-time data.
The gateway layer is matched with a target micro-service instance of page access through a routing address, the micro-service instance provides data query and real-time data pushing functions for a client page, and the client page access micro-service instance acquires data displayed by the page; the gateway layer can provide a unified IP address, and can be matched with a target micro service instance through the URI of the route; the gateway layer comprises a route matching function, a TLS (transport layer security protocol) encryption function, a JWT (JSON network security transmission specification) identity authentication function and a permission verification function; the gateway receives HTTP requests for different services, and distributes the requests to corresponding micro-service examples in a service layer according to the paths, parameters or header information of the requests by defining routing rules; and simultaneously, TLS (transport layer security protocol) encryption is carried out on the data of network communication, the security of data transmission is ensured, and the JWT identity authentication is used for transmitting token information between the display terminal and the server so as to carry out identity authentication and authorization of function access.
The pre-processing service group comprises a pre-adaptor for docking each platform of the power platform, wherein the pre-adaptor is used for establishing a communication mechanism for each platform of a specific corresponding power platform, and mainly comprises the establishment of a communication protocol, the definition of a receiving and transmitting data format, disconnection processing and state monitoring, and as shown in fig. 3, the pre-adaptor is arranged between the power platform and the real-time processing service group.
The pre-processing service group adopts a dual-activity architecture and comprises an active node and a standby node, wherein the two nodes mutually back up when processing data, and when the active node fails, needs maintenance or performs upgrading, the standby node takes over service. Through the design of the dual-active architecture, the front-end adapter can keep high availability when the system fails or is maintained, so that the data of the power platform can be accessed into the system with high fault tolerance.
The real-time processing service group comprises a data cleaning module, a data fusion module, a data analysis module and a data storage module; the data cleaning module is used for processing missing values and abnormal values of data transmitted by the power platform, so that the accuracy of the data is ensured; the data fusion module fuses different data from the power platform after being processed by the data cleaning module, the fused data comprises metadata and complement of equipment operation information, the metadata is used for generating a more comprehensive and accurate data set, the metadata comprises specification, installation and use information of equipment, the equipment comprises power generation equipment, power supply equipment, switching equipment, a current carrying conductor and a grounding device, the power generation equipment comprises a power station boiler, a steam turbine, a gas turbine, a water turbine and the like, and the power supply equipment comprises power transmission lines, transformers, contactors and the like with various installed voltage levels; the switching equipment comprises a high-low voltage circuit breaker, a load switch, a fuse, a disconnecting switch and the like which are arranged, and the current-carrying conductor comprises a soft conductor, a hard conductor and a cable which are used for transmitting electric energy; the data analysis module screens, classifies and calculates the data fused by the data fusion module according to a self-defined analysis strategy to generate a prediction result and an early warning severity level of the running states of various devices, wherein the prediction result comprises the load capacity of the devices, the probability of occurrence of faults, the stability of a power network and the energy efficiency ratio of the running of the devices; the data storage module is used for caching or durably storing the fused data and the result generated by the data analysis module. And the power platform data received in the pre-processing service can obtain multidimensional power network operation information after being cleaned, fused, analyzed and stored.
Embodiment III:
The third embodiment further describes a service layer on the basis of the second embodiment, where the service management service group includes a user role management module, a message notification management module, a metadata management module, an early warning threshold management module, and a statistical analysis management module, where the user role management module is configured to define a usage account and permission allocation of the display terminal, the message notification management module is configured to send early warning messages and query history early warning records in real time, for a user to make decision analysis and insight into an operation failure, the metadata management module is configured to display basic equipment information and basic elements of production operation, and the early warning threshold management module is configured to control conditions under which early warning reminding occurs, determine whether to generate early warning messages and early warning severity levels based on the conditions during data analysis, and the statistical analysis management module is configured to focus on analysis history data, where the statistical analysis management module includes history data of operation of statistical analysis equipment, determine whether installation and use of each area equipment are reasonable, and includes requirement data of statistical analysis of an electric market and renewable energy source information, and forecast fluctuation of electric power price. Different from the data analysis module of the real-time processing service group, the statistical analysis management module focuses on the analysis of historical data, such as the statistical analysis of various equipment historical load conditions, the judgment of no need of expanding or reducing equipment, the statistical analysis of customer service appeal and bill record data, the prediction of customer satisfaction and electricity utilization trend, the prediction of the overall energy efficiency of the power system, the help of optimizing energy use and energy saving measures, and the like; the service management service group mainly provides data inquiry and pushing functions, receives request information forwarded by the gateway layer and feeds back the request information.
The infrastructure service group is used for managing each micro service instance of the service layer, the infrastructure service group provides unified registration, state monitoring and message bus communication functions for the micro service instance, the ZooKeeper is selected as distributed coordination service, reliable and high-performance cooperative service is provided for the service layer, the ZooKeeper provides realization of distributed locks, a plurality of nodes can cooperatively access shared resources, and the problem of inconsistent data caused by concurrent operation of the plurality of nodes is prevented.
The message bus adopts a communication mechanism of an event bus, so that each micro service of the service layer is in loose coupling communication through an event.
The application method of the power monitoring and early warning system based on data fusion comprises the following specific modes:
S1, a data fusion module is connected into a data center platform and a data asset management platform to obtain registration, classification, identification and installation position information of power equipment, a comprehensive power asset data catalog is built by an incoming data storage module, and the power asset data catalog contains all information records of the power equipment in the process from production to installation to use, so that the help is provided for equipment tracking, efficiency comparison, daily purchase and the like;
s2, a data fusion module is connected with the intelligent aerial view platform to obtain power grid topology, equipment state and power load information, electric equipment registration information provided by a data asset management platform is fused, stability of an electric power network and energy efficiency ratio of equipment operation in each area are predicted in a data analysis module, and potential network problems are identified in advance; the installation condition of the equipment in each area can be obtained through the power grid topology data, the operation condition of the current equipment can be obtained through the equipment state and the electric load data, each type of parameter specification, the installation and operation energy consumption condition of the equipment of each manufacturer in each area can be obtained by combining the electric equipment registration information provided by the data asset management platform, the stability of the equipment of each type of parameter specification and the energy efficiency ratio of the equipment of each manufacturer are predicted through transverse comparison;
S3, the data fusion module is accessed to the power grid management platform to obtain equipment planning and scheduling, network state and energy transaction information, and client information, customer service appeal and bill record data provided by the client service platform are fused, and client satisfaction and electricity utilization trend are predicted in the statistical analysis module, and the overall energy efficiency of the power system is predicted; the feedback of each customer to the current electricity consumption can be obtained from the customer information and the customer appeal data, so that the satisfaction degree of the customer is predicted, and the daily electricity consumption rule and the variation trend of the customer are analyzed through bill records, so that the overall electricity consumption trend in the future is predicted;
The satisfaction degree of the customer feedback is combined with the energy consumption of each area, and the relation between the customer satisfaction degree and the electric energy consumption can be compared, whether a certain area generates larger energy consumption or not can be judged, but very low satisfaction degree is obtained, so that the overall energy efficiency of the regional power system is predicted.
S4, the data fusion module is accessed to the power grid management platform to obtain power market data, demand data and renewable energy source capacity information, the power market data, the demand data and renewable energy source capacity information are stored in a database through a storage layer, and fluctuation of power price is predicted in the statistical analysis module; the electric power price is closely related to market demands and other renewable energy sources, and the degree of dependence on the electric power energy sources is predicted by comparing the market demands with the development trend of other renewable energy sources, so that the electric power price is correspondingly adjusted.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. Electric power monitoring early warning system based on data fusion, its characterized in that: the system comprises a display terminal and a data integration system for accessing and processing the data of the power platform, wherein the power platform comprises a data center platform, a data asset management platform, an intelligent aerial view platform, a power grid management platform and a client service platform, and the data integration system provides data for the display terminal so that a user can obtain information notification for statistical analysis and early warning monitoring of decision making and the running state of the current power network;
The data integration system comprises a gateway layer, a service layer, a data access layer and a storage layer; the gateway layer provides connection service for the display terminal and establishes a data transmission channel; the service layer adopts a micro-service architecture to provide data access, data cleaning, data fusion, data combination analysis, service management and basic service functions for the data integration system, and the gateway layer is matched with a target micro-service instance accessed by a page through a routing address; the storage layer provides data storage functions, including data caching, persistent storage and columnar storage; the data access layer establishes a connection channel between the service layer and the storage layer, so that the service layer and the storage layer can perform safe and stable data read-write operation.
2. The data fusion-based power monitoring and early warning system according to claim 1, wherein: the service layer comprises a pre-processing service group, a real-time processing service group, a business management service group and an infrastructure service group; the method comprises the steps that an adapter and a data transmission protocol connected with a power platform are created through a pre-processing service group, the real-time processing service group is used for processing, analyzing and storing power platform data received in the pre-processing service group, the business management service group is used for providing HTTP interfaces and Websocket message pushing of user interaction for a display terminal, and the infrastructure service group is used for managing operation of all micro-services of a service layer and message communication among services.
3. The data fusion-based power monitoring and early warning system according to claim 2, wherein: the gateway layer comprises the functions of route matching, TLS encryption, JWT identity authentication and authority verification, and token information is transferred between the display terminal and the server to perform identity authentication and function access authorization.
4. The data fusion-based power monitoring and early warning system according to claim 3, wherein: the pre-processing service group comprises a pre-adaptor for butting each platform of the power platform, wherein the pre-adaptor is used for establishing a communication mechanism for each platform of the specific corresponding power platform and mainly comprises the establishment of a pre-communication protocol, the definition of a receiving and transmitting data format, disconnection processing and state monitoring.
5. The data fusion-based power monitoring and early warning system according to claim 4, wherein: the pre-processing service group adopts a dual-activity architecture and comprises an active node and a standby node, wherein the two nodes mutually back up when processing data, and when the active node fails, needs maintenance or performs upgrading, the standby node takes over service.
6. The data fusion-based power monitoring and early warning system according to claim 5, wherein: the real-time processing service group comprises a data cleaning module, a data fusion module, a data analysis module and a data storage module; the data cleaning module is used for carrying out missing value and abnormal value processing on data transmitted by the power platform; the data fusion module fuses different data from the power platform after being processed by the data cleaning module, wherein the fused data comprises metadata and complement of equipment operation information, the metadata is used for generating a more comprehensive and accurate data set, the metadata comprises specification, installation and use information of equipment, and the equipment comprises power generation equipment, power supply equipment, switching equipment, a current carrying conductor and a grounding device; the data analysis module screens, classifies and calculates the data fused by the data fusion module according to a self-defined analysis strategy to generate a prediction result and an early warning severity level of the running states of various devices, wherein the prediction result comprises the load capacity of the devices, the probability of occurrence of faults, the stability of a power network and the energy efficiency ratio of the running of the devices; the data storage module is used for caching or durably storing the fused data and the result generated by the data analysis module.
7. The data fusion-based power monitoring and early warning system according to claim 6, wherein: the business management service group comprises a user role management module, a message notification management module, a metadata management module, an early warning threshold management module and a statistical analysis management module, wherein the user role management module is used for defining the use account and the authority allocation of a display terminal, the message notification management module is used for sending early warning messages and inquiry history early warning records in real time for users to make decision analysis and insight into operation faults, the metadata management module is used for displaying basic equipment information and basic elements of production operation, the early warning threshold management module is used for controlling conditions of early warning reminding, during data analysis, whether early warning messages and early warning severity level are generated or not is judged based on the conditions, the statistical analysis management module focuses on analysis historical data, the statistical analysis management module comprises the historical data of operation of statistical analysis equipment, judges whether the installation and the use of each area equipment are reasonable, and also comprises the requirement data and renewable energy source capacity information of statistical analysis of an electric power market, and predicts fluctuation of electric power price.
8. The data fusion-based power monitoring and early warning system according to claim 7, wherein: the infrastructure service group is used for managing each micro service instance of the service layer, and provides unified registration, state monitoring and message bus communication functions for the micro service instance.
9. The data fusion-based power monitoring and early warning system according to claim 8, wherein: the message bus adopts a communication mechanism of an event bus, so that each micro service of the service layer is in loose coupling communication through an event.
10. A method of using the data fusion-based power monitoring and warning system of claim 9, the method comprising:
S1, a data fusion module is accessed to a data center platform and a data asset management platform to obtain registration, classification, identification and installation position information of power equipment, and a comprehensive power asset data catalog is built by an input data storage module;
S2, a data fusion module is connected with the intelligent aerial view platform to obtain power grid topology, equipment state and power load information, electric equipment registration information provided by a data asset management platform is fused, stability of an electric power network and energy efficiency ratio of equipment operation in each area are predicted in a data analysis module, and potential network problems are identified in advance;
s3, the data fusion module is accessed to the power grid management platform to obtain equipment planning and scheduling, network state and energy transaction information, and client information, customer service appeal and bill record data provided by the client service platform are fused, and client satisfaction and electricity utilization trend are predicted in the statistical analysis module, and the overall energy efficiency of the power system is predicted;
and S4, the data fusion module is accessed to the power grid management platform to obtain power market data, demand data and renewable energy source capacity information, the power market data, the demand data and the renewable energy source capacity information are stored into a database through a storage layer, and fluctuation of power price is predicted in the statistical analysis module.
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| WO2022012285A1 (en) * | 2020-07-16 | 2022-01-20 | 中国能源建设集团湖南省电力设计院有限公司 | Multi-source integrated multi-platform energy information management system |
| CN113962659A (en) * | 2021-10-25 | 2022-01-21 | 国网山东省电力公司平邑县供电公司 | Cloud computing-based smart power grid big data information management system and method |
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| CN116739208A (en) * | 2023-05-17 | 2023-09-12 | 浙江华云信息科技有限公司 | Unified management system for power supply service |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2022012285A1 (en) * | 2020-07-16 | 2022-01-20 | 中国能源建设集团湖南省电力设计院有限公司 | Multi-source integrated multi-platform energy information management system |
| CN113962659A (en) * | 2021-10-25 | 2022-01-21 | 国网山东省电力公司平邑县供电公司 | Cloud computing-based smart power grid big data information management system and method |
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