Intelligent station management system and method based on data medium station

Abstract

The invention relates to the technical field of station management, and particularly provides an intelligent station management system and method based on a data medium station, and the system comprises a data receiving module and a data application module. The data receiving module is used for acquiring application data and production operation data corresponding to a plurality of regional stations; and the data processing module is used for determining the current operation condition of each regional station based on the application data set and the production operation data, and performing data comprehensive analysis and production regulation and control based on the current operation condition. According to the intelligent station management system based on the data medium station, fusion of application data of each regional station in station management and production operation data of the industrial data medium station is realized through the data medium station, a comprehensive view angle is provided for power plant station management, and optimization of an operation strategy and improvement of management efficiency are facilitated.

Description

Technical Field

[0001] The present application relates to the field of station management technology, and in particular to a smart station management system and method based on a data middle platform. Background Art

[0002] At present, power plant operations are facing the need for digital transformation. The operation and management model of traditional power plants can no longer meet the needs of modern power systems for efficiency, safety and intelligence, and power plant digital twin technology has emerged. In power plant digital twin technology, physical models, IoT sensors, and simulations are usually used to construct a mapping of an identical physical power plant in the digital world in virtual space through digital means to reflect the real situation of the physical power plant.

[0003] In the existing digital twin model of power stations, the video twin platform is used to gather all the data of the substation, and the comprehensive situation analysis is carried out by comprehensively using big data, AI, spatiotemporal location intelligence and other technologies to create a digital twin substation cockpit. Through real-time monitoring and analysis of the status of power plant equipment, the refined management of equipment management is achieved through power plant visualization. During the operation of the digital twin model of the power station, for the power station model management of all different regional stations, a data integration platform is usually built to centrally manage the equipment operation data from each power station. Among them, the station area regional centralized control system (i.e., the integrated platform on the regional station side) used for the management of multiple power stations and the control system corresponding to the data integration platform are usually configured relatively independently. The two control systems and the corresponding operation data are relatively independent, which is not convenient for operators to achieve comprehensive real-time monitoring of the substation operation. Summary of the invention

[0004] In response to the above problems, the present application provides a smart station management system and method based on a data middle platform. Based on the data middle platform, it realizes the integration of application data and production operation data of stations in each region, provides a comprehensive perspective for station management, and helps to optimize operation strategies and improve management efficiency.

[0005] To achieve the purpose of this application, this application provides the following technical solutions:

[0006] In a first aspect, the present application provides a smart station management system based on a data middle platform, the system comprising: a data receiving module and a data application module;

[0007] The data receiving module is used to obtain application data and production operation data corresponding to multiple regional stations respectively;

[0008] The data processing module is used to determine the current operating status of each of the regional stations based on the application data set and the production operation data, and perform comprehensive data analysis and production regulation based on the current operating status.

[0009] In a possible implementation, an integrated platform is provided on the side of the multiple regional stations, and the integrated platform is used to aggregate and process the application data of the multiple regional stations to obtain an application data set corresponding to each application data parameter; the data receiving module includes: a first data acquisition unit, used to receive application data of different regional stations from the integrated platform; for each of the regional stations, the application data parameters include at least basic station information, basic information of station equipment, equipment inspection information, security monitoring information, and equipment inspection analysis data; a second data acquisition unit, used to obtain the production and operation data of each of the regional stations from the industrial data center, and the production and operation data include at least the power generation of each of the regional stations.

[0010] In a possible implementation, the application data includes hotspot sub-data and non-hotspot sub-data, and the receiving of application data sets of different regional stations from the integrated platform includes:

[0011] For the hotspot sub-data, the mysql-binlog-connector-java library is used to monitor the MySQL database of the regional station in real time, wherein the binlog function is started in the MySQL database of the regional station to record each change of the hotspot sub-data; for the non-hotspot sub-data, based on the importance level of the non-hotspot sub-data, the corresponding data synchronization frequency is matched for non-hotspot sub-data of different levels, and RabbitMQ is used for real-time reception.

[0012] In a possible implementation, the data receiving module includes: a third data receiving unit, used to receive application data corresponding to different regional stations from the multiple regional stations respectively; for each of the regional stations, the application data set includes basic station information, basic information of station equipment, equipment inspection information, security monitoring information, and equipment inspection analysis data.

[0013] In one possible implementation, the system also includes a data middle platform construction unit, which is used to call the corresponding data components based on the production management requirements to build the data middle platform, and connect the data middle platform with the production operation data on the integrated platform; the data middle platform construction unit includes: a requirement analysis subunit, which is used to extract the data parameters to be managed corresponding to each of the regional stations after determining the data parameters to be managed corresponding to the production management requirements; the data parameters to be managed include at least the equipment utilization rate, installed capacity, wind speed, online power and power generation of each of the regional stations; a middle platform construction subunit, which is used to match the corresponding target data components from the preset component library based on the data parameters to be managed, and encapsulate and combine the target data components based on the preset data component combination logic to obtain the final data middle platform.

[0014] In one possible implementation, the data processing module includes: a data verification unit, which is used to verify the data to be processed by using preset verification rules when it is detected that there is data to be processed in the monitored RabbitMQ queue; a data matching unit, which is used to write the data to be processed that passes the preset verification rules into a database table corresponding to the data to be processed, and match the data to be processed and the production operation data based on the ID of the regional station to obtain target matching data.

[0015] In a possible implementation, the data processing module also includes a data analysis unit; the data analysis unit is used to parse the production management requirements, determine the keywords corresponding to each site in the production management requirements, and call the target production and operation data in the target matching data based on the keywords; when the target production and operation data does not meet the preset conditions, the equipment to be managed in the regional site corresponding to the target production and operation data is adjusted.

[0016] In a possible implementation, the production and operation data includes a station power generation parameter and a station alarm parameter within a first preset time; the data analysis unit includes a station utilization analysis subunit and a station alarm analysis subunit; the station utilization analysis subunit is used to obtain, for each regional station, the station utilization sequence between the regional stations based on the ratio of the power generation of the regional station to the installed capacity corresponding to the regional station after the station power generation parameter of each regional station is obtained; in the case where the production management requirement includes the station power generation parameter, based on the station utilization sequence, determine the first target regional station corresponding to the station power generation parameter; the station alarm analysis subunit is used to, for each regional station, sort the alarm times from large to small after the alarm times of each regional station within the first preset time to obtain the station alarm sequence between the regional stations; in the case where the production management requirement includes the station alarm parameter, based on the station alarm sequence, determine the second target regional station corresponding to the station alarm parameter.

[0017] In a possible implementation, the data processing module also includes: a smart inspection unit, an intelligent security unit, an intelligent diagnosis and analysis unit, an intelligent device management unit, and a system overview unit; the smart inspection unit is used to obtain the inspection operation information in each of the regional stations based on the inspection equipment deployed in each of the regional stations; the intelligent security unit is used to obtain the video and access control statistical data in each of the regional stations based on the security monitoring equipment deployed in each of the regional stations; the intelligent diagnosis unit is used to process based on the intelligent device inspection analysis to obtain the diagnosis result for each production equipment; the intelligent device management unit is used to control the equipment to be managed in the corresponding regional station; the system overview unit is used to display the diagnosis result of each of the production equipment item by item.

[0018] In a second aspect, the present application provides a smart station management method based on a data middle station, which is applied to the above-mentioned smart station management system based on a data middle station, and the method includes:

[0019] Obtain application data and production operation data corresponding to multiple regional stations;

[0020] Based on the application data set and the production operation data, the current operation status of each of the regional stations is determined, and comprehensive data analysis and production regulation are performed based on the current operation status.

[0021] The smart station management system and method based on the data middle platform provided in this application obtains the application data and production operation data corresponding to multiple regional stations respectively; based on the application data set and production operation data, the current operation status of each regional station is determined, and production regulation is performed based on the current operation status. Based on the industrial data middle platform, the application data and production operation data of each regional station are integrated, providing a comprehensive perspective for power plant station management, which helps to optimize operation strategies and improve management efficiency. At the same time, by using drones and inspection robots, the automation of inspection work is realized, the efficiency and safety of inspection are improved, and the dependence on manual labor is reduced, which improves work efficiency and ensures the safe and reliable operation of the station. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings are used to provide a further understanding of the present application and form a part of the specification. Together with the embodiments of the present application, they are used to explain the present application and do not constitute a limitation to the present application.

[0023] Figure 1 A schematic diagram of the working process of the smart station management system based on the data middle platform provided in the embodiment of the present application;

[0024] Figure 2 A schematic diagram of the data architecture of a smart station management system based on a data middle platform provided in an embodiment of the present application;

[0025] Figure 3 An optional flow chart of a smart station management method based on a data middle station provided in an embodiment of the present application;

[0026] Figure 4 A schematic diagram of the data architecture of a smart site management system based on a data middle platform provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0028] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features; in the description of this application, unless otherwise specified, "plurality" means two or more.

[0029] With the rapid development of information technology and intelligent technology, power plant operation and management are facing the need for digital transformation. The operation and management model of traditional power plants can no longer meet the requirements of modern power systems for efficiency, safety and intelligence. Therefore, digital intelligent management twin technology came into being. It builds a virtual model corresponding to the physical power plant to achieve real-time monitoring and intelligent analysis of the power plant's operating status, thereby improving the management level and operating efficiency of the power plant. Among them, power plant digital twin technology mainly involves the following aspects:

[0030] 1) Real-time monitoring: Through sensors and IoT technology, power plant operation data, including equipment status, environmental parameters, etc., are collected in real time and transmitted to the digital twin model.

[0031] 2) Smart security: Use video surveillance combined with artificial intelligence algorithms to conduct real-time analysis of the safety status of the power station and promptly identify potential safety hazards.

[0032] 3) Smart inspection: Use rail robots and drone inspection technology combined with artificial intelligence algorithms to inspect power stations, improve inspection efficiency, and reduce labor costs.

[0033] 4) Smart device management: Count the total number of smart devices connected to the smart station, and display the composition details by category (inspection equipment, security equipment) and the number of devices in operation, idle and faulty. Click on the total number of devices to view the list of all device data and manage the devices.

[0034] Among them, for the model data management between stations in different regions, a data integrated industrial data middle platform is built to centrally manage the equipment and operation data from all power stations. The control systems corresponding to the station area centralized control system and the data integration platform used to manage multiple power stations are usually configured relatively independently. The two control systems and the corresponding operation data are relatively independent, which makes it inconvenient for operators to achieve comprehensive monitoring of the substation operation status.

[0035] In order to solve the above technical problems, the present invention proposes the following technical solutions and corresponding embodiments.

[0036] Example 1

[0037] Combine the following Figures 1 to 4 The embodiments shown describe the technical solution of the present invention:

[0038] like Figure 1As shown, the substation control area of ​​the embodiment of the present application is divided into a production control area (area I), a non-control area (area II) and a production management area (safety area III), wherein the business system and its functional modules in the production control area are important links in power production, and are used to directly realize real-time monitoring of power stations in all electric fields in the current regional station, and use the power dispatching data network or dedicated channels vertically for safety protection; the non-control area is a necessary link in power production, and is closely connected with the business system or functional module of the production control area based on auxiliary control systems such as power prediction systems; the production management area refers to the collection of power enterprise management business systems outside the production control area and the non-control area. Among them, the radiation control system in the non-control area sends the operation data of its business system or other functional modules in the non-control area to the comprehensive application server set in the production control area through the IEC61850 communication protocol; the comprehensive application server sends the panoramic monitoring data of the current regional station to the substation digital twin system located at the regional end. Among them, the panoramic monitoring data includes monitoring data for the production control area and monitoring data for the auxiliary control system; 1. Monitoring data for the production control area includes: 1) Steady-state data of power grid operation: position status collection data, measurement collection data, power grid accident alarm information; 2) Primary equipment data: mechanism monitoring data, equipment body monitoring data and alarm signals, etc.; 3) Secondary equipment data: device operating conditions, device self-inspection, locking, timing status, communication status monitoring and alarm signals, etc.; 2. Monitoring data for the radiation control system includes: 1) Security monitoring data based on access control, etc.; 2) Fire monitoring data based on fire alarm signals, smoke sensors, etc.; 3) Environmental monitoring data such as temperature and humidity.

[0039] In the embodiment of the present application, the substation digital twin system is set up on the regional integrated platform of the production management area, which is used to load the three-dimensional digital model of the substation equipment in each area to realize the three-dimensional panoramic display of the substation equipment. The substation digital twin system obtains the real-time monitoring data of the monitoring host and the auxiliary control system, and realizes the linkage display of the substation panoramic monitoring data and the three-dimensional digital model, wherein the real-time monitoring data of the monitoring host and the auxiliary control system are transmitted to the substation digital twin system once based on the preset time interval. As a feasible implementation method, the preset time interval can be 5 minutes.

[0040] In the production management area of ​​the embodiment of the present application, after the inspection results and perception data of the regional station are transmitted to the edge platform of each station, the edge platform of the regional station transmits it to the regional integrated platform where the station is located. The regional integrated platform summarizes and processes the data of all stations in the area, and the IoT data obtained after the integration is transmitted to the user end. After the user end analyzes and processes the received IoT data, it sends corresponding control instructions to the corresponding regional station based on the analysis and processing results to the regional integrated platform and edge platform corresponding to the instruction.

[0041] In the embodiments of the present application, a region refers to a geographical management scope, which may include multiple stations, each of which may include a separate power station or a group of related power stations; a station refers to a specific power station or a group of closely related power stations at the same location / nearby locations. Here, it should be noted that the regional station in the embodiments of the present application corresponds to a region (i.e., including each station in the region).

[0042] In the embodiment of the present application, the user terminal is an industrial data middle station, and may also include a management system mobile terminal corresponding to the industrial data middle station. Exemplarily, the mobile terminal may be deployed in the Diantou 1 applet.

[0043] Figure 2 The data architecture diagram of the smart station management system based on the data middle platform according to the embodiment of the present application is shown. Figure 2 As shown, the smart station management system based on the data middle platform of the embodiment of the present application includes: a data receiving module and a data processing module; wherein the data receiving module is used to obtain application data and production operation data corresponding to multiple regional stations respectively; the data processing module is used to determine the current operating status of each of the regional stations based on the application data set and the production operation data, and perform production regulation based on the current operating status.

[0044] refer to Figure 2As shown, in the embodiment of the present application, a plurality of smart station integration platforms (corresponding to the regional integration platforms of the embodiment of the present application) corresponding to the respective regions are provided on the station side. The smart station integration platform is used to aggregate and process the application data of the plurality of regional stations to obtain an application data set corresponding to each application data parameter. The present application is based on a first data acquisition unit receiving application data of different regional stations from an integrated platform, and based on a second data acquisition unit obtaining production and operation data of each regional station from the industrial data middle station. As a feasible implementation method, the HTTP protocol is used to obtain production and operation data from the industrial data middle station. In the embodiment of the present application, the production and operation data is located on the new energy smart cloud platform of the industrial data middle station of the group company. The new energy smart cloud platform is deployed on the industrial data middle station of the group company, and the industrial data middle station is deployed on the group end for production management. Here, the production and operation data include the information of the central station, equipment utilization rate, installed capacity (10,000 kW), daily average wind speed (m / s), average wind speed of the wind tower (m / s), online power - daily planned internal control (10,000 kwh), online power - actual online power (10,000 kwh), online power - monthly cumulative (10,000 kwh), online power - annual cumulative (10,000 kwh), power generation - daily planned internal control (10,000 kwh), power generation - daily power forecast power (10,000 kwh), power generation - daily actual power generation (10,000 kwh), power generation - daily utilization hours (h), power generation - Load rate (%), power generation - daily wind power abandonment (10,000 kW), power generation - daily wind power abandonment due to fault (10,000 kW), power generation - daily grid wind abandonment rate (%), power generation - daily wind abandonment rate due to fault (%), power generation - monthly plan internal control (10,000 kW), power generation - monthly cumulative (10,000 kW), power generation - monthly utilization hours (h), power generation - monthly grid wind abandonment rate (%), power generation - monthly wind abandonment rate due to fault (%), power generation - annual plan (10,000 kW), power generation - annual cumulative (10,000 kW), power generation - year-on-year cumulative power generation (10,000 kW), radiation (MJ / m 2 ).

[0045] In the embodiment of the present application, the application data includes hotspot sub-data and non-hotspot sub-data; for hotspot sub-data that are frequently updated and have a significant impact on the business, the mysql-binlog-connector-java library is used to monitor the MySQL database of the regional station in real time, wherein the binlog function is started in the MySQL database of the regional station to record every change of the hotspot sub-data; wherein the carefully selected mysql-binlog-connector-java library is used to implement real-time monitoring of the binlog, ensuring that the system can respond quickly once a data update action occurs. The monitored events will trigger the parsing process of the log content, and after careful processing, the original log will be converted into structured and correctly formatted data, and finally these data will be securely transmitted to the message queue RabbitMQ for subsequent processing and analysis.

[0046] For non-hotspot sub-data with low update frequency and low requirements for immediacy, based on the importance level of non-hotspot sub-data, the corresponding data synchronization frequency is matched to non-hotspot sub-data of different levels, and RabbitMQ is used for real-time reception. Among them, according to the importance of the data, the system configures different data synchronization frequencies (cron expressions) to balance the use of system resources and the timeliness of data updates. By writing special scripts, the system regularly grabs these data from the database table and transmits them through RabbitMQ. Such a design not only ensures the integrity of the data, but also optimizes the system performance and ensures the efficiency and stability of data processing. For example, in order to maintain the real-time and accuracy of equipment information and inspection operation information, the corresponding scripts are used and the cron expressions are configured to implement the scheduled tasks. The synchronization frequency of equipment-related information is set to once a day, while the synchronization frequency of drone inspection data is once every 30 minutes. As for the robot inspection data, its synchronization frequency is set to once every 10 minutes to ensure the real-time and accuracy of the data.

[0047] In an embodiment of the present application, the application data includes basic station information corresponding to multiple stations in each area, basic conditions of station equipment, equipment inspection information (i.e., smart device inspection information), security monitoring information, and equipment inspection analysis data. Exemplarily, the basic information of the station includes the geographical location of the station, the station name, the latitude and longitude information and the station introduction; the basic information of the station equipment includes the industrial sector (i.e., the type of power plant), the corresponding equipment manufacturer, model, quantity, equipment type, etc. of each equipment, and the equipment types include robots, drones, cameras, etc.; the equipment inspection information includes robot inspection points and drone inspection information, among which the robot inspection points include the switch room, the gas insulated fully enclosed switchgear (Gas Insulated Substation, GIS) room, the boosting area and the transmission area of ​​the booster station, etc., and the drone inspection information includes inspection task information, inspection route information, and real-time inspection pictures, etc.; the security monitoring information includes monitoring data of not wearing a safety helmet, not wearing a reflective clothing, illegal smoking, fire, smoke, etc., and infrared temperature measurement data of the boosting area and the transmission area of ​​the booster station, etc.; the equipment inspection analysis data includes the health diagnosis data of the fan blades, the alarm and security monitoring alarm data of the production area, and the data acquisition and monitoring control system (Supervisory Control And Data Acquisition, SCADA) diagnostic data, etc. In the data-centric business environment of the present application, based on the characteristics of the data structure of each region, a variety of transmission technologies are used to acquire application data in a regular or real-time manner. For example, for drone inspection information, the station-side drone inspection platform uses the SFTP protocol to transmit it to the smart station management system of the embodiment of the present application, and the station-side alarm information is collected through the integrated platform and uploaded using MQTT (message queue). In this way, various data types such as smart device information, inspection operation information, alarm information, smart diagnostic information, and real-time operation data of IoT devices are managed and monitored.

[0048] Exemplarily, the system of the embodiment of the present application adopts the combination of Spring Boot framework and MyBatis persistence layer framework to build a data receiving module to monitor and process alarm information in real time, which enables the binary log (binlog) function of MySQL database to record and track any changes in the data table. Exemplarily, whenever the data in the alarm information table changes, the program automatically triggers the data processing flow. First, the system will conduct an in-depth analysis of the changed data, and then encapsulate the analysis results into messages, which are transmitted through the RabbitMQ message queue; at the data receiving end, a special tool is deployed to monitor the messages in the RabbitMQ queue. Once the message is received, the tool will immediately perform a detailed check on the alarm information; the check process includes non-empty check and format check on key fields such as alarm time, alarm content, collection equipment and alarm type. Only messages that pass the check will be further processed; the subsequent system will determine whether the current alarm already exists based on the alarm ID, area ID and station ID. If the system finds that the alarm information already exists, it will update the existing alarm record; otherwise, if the alarm information does not exist, the system will create a new alarm record.

[0049] In the embodiment of the present application, for application data, the application data corresponding to each regional station can also be directly received from multiple regional stations respectively.

[0050] In an embodiment of the present application, the processing module includes: a data verification unit, which is used to verify the data to be processed by using a preset verification rule when detecting that there is data to be processed in the monitored RabbitMQ queue; a data matching unit, which is used to write the data to be processed that passes the preset verification rule into the database table corresponding to the data to be processed, and to match the data to be processed and the production operation data based on the regional ID and station ID of the regional station to obtain the target matching data. Exemplarily, the processing module obtains the data collected in each area by listening to the RabbitMQ queue, wherein when the program detects that there is data in the queue, a series of pre-set data verification rules will be immediately started to verify the validity of the data. These verification rules include field non-empty verification, length verification, data type verification, and unique constraints. Only data that passes all verification rules can be regarded as valid data, and then the verified data will be written into the corresponding database table, and matching processing will be performed according to the corresponding relationship between the system and the database table of each region. In this way, the verified data will be written into the corresponding database table. This process ensures that only data that meets the predetermined rules can be stored, thereby ensuring the accuracy and consistency of the data. At the same time, in this way, not only the real-time processing of messages is realized, but also the quality and reliability of the data are ensured.

[0051] In an embodiment of the present application, the system also includes a data middle platform construction unit, which is used to call the corresponding data components to build a data middle platform based on the production management requirements, and connect the data middle platform with the production operation data on the integrated platform; the data middle platform construction unit includes: a requirement analysis subunit, which is used to extract the data parameters to be managed corresponding to each regional station after determining the data parameters to be managed corresponding to the production management requirements; the data parameters to be managed include at least the equipment utilization rate, installed capacity, wind speed, online power and power generation of each regional station; the middle platform construction subunit is used to match the corresponding target data components from the preset component library based on the data parameters to be managed, and encapsulate and combine the target data components based on the preset data component combination logic to obtain the final data middle platform. Among them, the production management requirements are the production planning and design of the industrial data middle platform at the group end based on the actual operation practice.

[0052] As a feasible implementation method, the processing module also includes a data analysis unit, which is used to parse the production management requirements, determine the keywords corresponding to each item in the production management requirements, and call the target production and operation data in the target matching data based on the keywords; when the target production and operation data does not meet the preset conditions, the equipment to be managed in the regional station corresponding to the target production and operation data is adjusted.

[0053] In the embodiment of the present application, the production and operation data include the station utilization hour parameters within the first preset time (corresponding to the station power generation parameters of the embodiment of the present application), the station alarm parameters within the first preset time, the comparison between alarms and power generation, the number of alarms this month, intelligent security data, smart inspection data, intelligent equipment management data and intelligent diagnosis and analysis data. As a feasible implementation method, the first preset time can be the first 5 weeks / months / years, respectively. For the station utilization top5, 1) the data receiving module receives and displays the data of the first 5 weeks, months and years of the station utilization hours, 2) the processing module: the processing method is to obtain the power generation data of all stations and divide it by the installed capacity data of the corresponding stations; the processed data is sorted by utilization hours, the first 5 are taken, and returned to the front end to be determined as the first target area station. For the station alarm top5, 1) the data receiving module receives the weekly, monthly and annual data of the station alarm top5, and the data is displayed. 2) Processing module: The processing method is to obtain the names of all stations and the number of alarms of the stations; the data result after processing is to sort by the number of stations and take the first 5 to determine them as the second target area stations.

[0054] For the comparison between alarms and power generation, 1) Data receiving module (page receiving): the total power generation and alarm number counted by month this year are displayed. 2) Processing method: query the total alarm number and total power generation of all enabled stations. 3) Processing result: return the total power generation and alarm sum of all stations to the front end.

[0055] For the analysis of the number of alarms this month, 1) The page receives: the alarm categories and the corresponding numbers of the alarm categories this month. 2) Data processing method: Query the enabled stations and the alarm category data corresponding to these stations. 3) Processed results: Return the number of alarm categories of the enabled stations this month to the front end.

[0056] For smart security data and security equipment management, 1) The page receives: security equipment camera and access control data. 2) Data processing method: query the security camera and access control data by region. 3) Result after data processing: return the camera and access control statistics by region queried this month to the front end. Smart security data includes security equipment (camera, access control) information, security alarm related statistical analysis (security algorithm, access control recognition).

[0057] For smart inspection data, robot and drone inspection data display and statistical analysis, such as inspection status (basic inspection information, number of planned inspections, actual inspections, number of uninspected inspections, inspection results, and inspection reports).

[0058] For smart device management data, such as basic information of robots, drones, and security equipment, real-time status, insurance warnings and time, equipment failure statistics, and equipment maintenance records.

[0059] For intelligent diagnosis and analysis data, basic information, statistical information analysis and algorithm accuracy analysis are performed through algorithm models.

[0060] In an embodiment of the present application, the data middle platform construction unit may introduce graph database technology to more efficiently process and store complex data relationships.

[0061] The smart station management system based on the data middle platform of this application obtains the application data and production operation data corresponding to multiple regional stations respectively; based on the application data set and production operation data, it determines the current operation status of each regional station, and performs production regulation based on the current operation status. Based on the industrial data middle platform, it realizes the integration of application data and production operation data of each regional station, provides a comprehensive perspective for station management, and helps to optimize operation strategies and improve management efficiency. At the same time, by using drones and inspection robots, the automation of inspection work is realized, the efficiency and safety of inspection are improved, and the dependence on manual labor is reduced, which improves work efficiency and ensures the safe and reliable operation of the station.

[0062] Example 2

[0063] Based on the above embodiments, the present application provides a smart station management method based on a data center. Figure 3The flowchart of the smart station management method based on the data center of the embodiment of the present application is shown. The method is applied to the system of the above embodiment, with reference to Figure 3 As shown, the smart station management method based on the data middle station of the embodiment of the present application includes the following steps S301 to S302:

[0064] Step S301: Obtain application data and production operation data corresponding to multiple regional stations.

[0065] In the embodiment of the present application, the application data and the production operation data come from the integrated platform for managing each regional station and the industrial data middle platform on the regional station side, respectively. For each data, refer to the above embodiment.

[0066] Step S302: Based on the application data set and the production operation data, determine the current operation status of each of the regional stations, and perform comprehensive data analysis and production regulation based on the current operation status.

[0067] In the examples of this application, refer to Figure 4 As shown in the figure, a smart station management system mobile terminal is set up in the industrial data center of the production management area to synchronize the current operating status to the mobile terminal, so that users can obtain relevant information from the mobile terminal in real time. Among them, the mobile terminal realizes the intuitive, accurate and scientific management of the number of smart stations, the number of intelligent devices, the assessment indicators of smart stations and the regional benefit indicators of each regional station through the digital twin substation cockpit.

[0068] The embodiment of the present application uses the data connection between the smart station management system, the smart station management system mobile terminal, and the integrated platform as the key to realizing the digital twin model of the power station, and provides a comprehensive solution for the management and operation of the power station by integrating and analyzing the data from the power station system. This can not only improve the operating efficiency of the power station, but also reduce operating costs and improve the safety and reliability of the power station.

[0069] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication part, and / or installed from a removable medium. When the computer program is executed by a central processing unit (CPU), the above-mentioned functions defined in the system of the present application are executed.

[0070] It should be noted that the computer-readable storage medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or component, or any combination of the above.

[0071] The above embodiments are only used to illustrate the technical solution of the present application, but not to limit it. The present application is not limited to the exact structure described above and illustrated in the accompanying drawings, and it cannot be determined that the specific implementation of the present application is limited to these descriptions. For ordinary technicians in the technical field to which the present application belongs, various changes and modifications made without departing from the concept of the present application should be deemed to belong to the protection scope of the present application.

[0072] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of the code, which includes one or more executable instructions for implementing the specified logical functions.

[0073] In the several embodiments provided in the present application, it should be understood that the disclosed systems, modules and methods can be implemented in other ways. For example, the module embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, modules or units, which can be electrical, mechanical or other forms.

[0074] The above embodiments are only used to illustrate the technical solution of the present application, but not to limit it. The present application is not limited to the exact structure described above and illustrated in the accompanying drawings, and it cannot be determined that the specific implementation of the present application is limited to these descriptions. For ordinary technicians in the technical field to which the present application belongs, various changes and modifications made without departing from the concept of the present application should be deemed to belong to the protection scope of the present application.

Claims

1. A smart station management system based on data center, characterized in that: The system includes: a data receiving module and a data application module; The data receiving module is used to obtain application data and production operation data corresponding to multiple regional stations respectively; The data processing module is used to determine the current operating status of each of the regional stations based on the application data set and the production operation data, and perform comprehensive data analysis and production regulation based on the current operating status.

2. According to the data center-based smart station management system of claim 1, it is characterized in that: An integrated platform is provided on the side of the multiple regional stations, and the integrated platform is used to aggregate and process the application data of the multiple regional stations to obtain an application data set corresponding to each application data parameter; The data receiving module comprises: A first data acquisition unit is used to receive application data of different regional stations from the integrated platform; for each regional station, the application data parameters include at least basic station information, basic conditions of station equipment, equipment inspection information, security monitoring information, and equipment inspection analysis data; The second data collection unit is used to obtain the production and operation data of each of the regional stations from the industrial data center, and the production and operation data at least includes the power generation of each of the regional stations.

3. According to the data center-based smart station management system of claim 2, it is characterized in that: The application data includes hotspot sub-data and non-hotspot sub-data, and the application data sets received from the integrated platform at different regional stations include: For the hotspot sub-data, the mysql-binlog-connector-java library is used to monitor the MySQL database of the regional station in real time, wherein the binlog function is started in the MySQL database of the regional station to record each change of the hotspot sub-data; For the non-hotspot sub-data, based on the importance level of the non-hotspot sub-data, the corresponding data synchronization frequencies are matched to the non-hotspot sub-data of different levels, and RabbitMQ is used for real-time reception.

4. According to the data center-based smart station management system of claim 1, it is characterized in that: The data receiving module comprises: The third data receiving unit is used to receive application data corresponding to different regional stations from the multiple regional stations respectively; for each regional station, the application data set includes basic information of the station, basic information of the station equipment, equipment inspection information, security monitoring information, and equipment inspection analysis data.

5. The smart station management system based on data middle platform according to any one of claims 1 to 4 is characterized in that: The system also includes a data middle platform construction unit, which is used to call the corresponding data components based on the production management requirements, build the data middle platform, and connect the data middle platform with the production operation data on the integrated platform; The data middle platform construction unit includes: The requirement analysis subunit is used to extract the data parameters to be managed corresponding to each of the regional stations after determining the data parameters to be managed corresponding to the production management requirements; the data parameters to be managed include at least the equipment utilization rate, installed capacity, wind speed, online power and power generation of each of the regional stations; The middle platform construction sub-unit is used to match the corresponding target data components from the preset component library based on the data parameters to be managed, and to encapsulate and combine the target data components based on the preset data component combination logic to obtain the final data middle platform.

6. According to the data center-based smart station management system of claim 5, it is characterized in that: The data processing module comprises: A data verification unit, configured to verify the data to be processed by using a preset verification rule when detecting that there is data to be processed in the monitored RabbitMQ queue; A data matching unit is used to write the data to be processed that passes the preset verification rule into a database table corresponding to the data to be processed, and to match the data to be processed with the production operation data based on the ID of the regional station to obtain target matching data.

7. According to claim 6, the smart station management system based on the data middle platform is characterized in that: The data processing module also includes a data analysis unit; The data analysis unit is used to parse the production management requirements, determine the keywords corresponding to each site in the production management requirements, and call the target production and operation data in the target matching data based on the keywords; when the target production and operation data does not meet the preset conditions, the equipment to be managed in the regional site corresponding to the target production and operation data is adjusted.

8. According to claim 7, the smart station management system based on data middle platform is characterized in that: The production operation data includes the station power generation parameters and the station alarm parameters within the first preset time; the data analysis unit includes a station utilization analysis subunit and a station alarm analysis subunit; The station utilization analysis subunit is used for obtaining the station power generation parameters of each of the regional stations and, for each regional station, obtaining a station utilization sequence between the regional stations based on a ratio of the power generation of the regional station to the installed capacity corresponding to the regional station; In a case where the production management requirement includes the power generation parameter of the station, determining a first target area station corresponding to the power generation parameter of the station based on the station utilization sequence; The station alarm analysis subunit is used for, after obtaining the number of alarms of each of the regional stations within the first preset time, sorting the number of alarms from large to small for each regional station to obtain a station alarm sequence between the regional stations; In a case where the production management requirement includes the station alarm parameter, a second target area station corresponding to the station alarm parameter is determined based on the station alarm sequence.

9. The smart station management system based on data middle platform according to claim 1 is characterized in that: The data processing module also includes: a smart inspection unit, an intelligent security unit, an intelligent diagnosis and analysis unit, an intelligent device management unit, and a system overview unit; The smart inspection unit is used to obtain inspection operation information in each of the regional stations based on the inspection equipment deployed in each of the regional stations; The intelligent security unit is used to obtain video and access control statistics in each of the regional stations based on the security monitoring equipment deployed in each of the regional stations; The intelligent diagnosis unit is used to process the inspection and analysis data of the intelligent equipment to obtain the diagnosis results for each production equipment; The intelligent device management unit is used to control the device to be managed; The system overview unit is used to display the diagnosis results of each production equipment item by item.

10. A smart station management method based on a data middle station, applied to the smart station management system based on a data middle station as described in any one of claims 1-9, characterized in that: The following steps are involved: Obtain application data and production operation data corresponding to multiple regional stations; Based on the application data set and the production operation data, the current operation status of each of the regional stations is determined, and comprehensive data analysis and production regulation are performed based on the current operation status.

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