Intelligent scheduling interaction system of intelligent operation centralized control center

Abstract

The invention discloses an intelligent scheduling interaction system of an intelligent operation centralized control center, which relates to the technical field of power scheduling and comprises a centralized control cloud platform, an intelligent centralized control platform, a data analysis platform, a database and a real-time data monitoring terminal, the centralized control cloud platform comprises basic resources such as a computing resource pool, a storage resource pool, an east-west security resource pool, a network resource pool and a cloud resource management tool, and the basic resources are provided for construction of the intelligent centralized control center. And real-time updating and upgrading can be realized, so that the interaction system capability and the application capability are ensured to advance with the times, the system is ensured to have relatively long vitality and expansion capability, and the stability and the safety of the technology are ensured while the advancement of the system is ensured.

Description

Technical Field

[0001] This invention relates to the field of power dispatching technology, specifically to an intelligent dispatching and interactive system for a smart operation control center. Background Technology

[0002] Research and development of hydropower automation technology and products began in the early 1980s. However, limitations in computer and network technology, as well as system planning and integration capabilities, made it difficult to plan the overall automation system for hydropower stations and control centers. Therefore, the system was divided into several relatively independent subsystems based on different business functions, effectively reducing the development difficulty of each subsystem. At that time, the number of hydropower plant automation systems was very limited, and practical applications mostly focused on completing basic measurement and control functions, with less emphasis on data mining, analysis, evaluation, and decision support. Therefore, the aforementioned system architecture was scientifically sound, adapting to the technological development level and business needs of the time. After more than thirty years of development, a hydropower automation technology system and product series has been formed, mainly based on local automation, station computer monitoring, basin remote centralized monitoring, basin hydrological forecasting, basin water dispatch automation, and dam safety monitoring. This system basically meets the "unmanned (or minimally staffed)" operation requirements of hydropower centralized control and has played a crucial role in the operation and centralized control management of hydropower projects.

[0003] However, due to the different business systems being built at different times by different manufacturers, with varying data sources, communication methods, and data interfaces, data sharing among these systems is difficult, hindering intelligent analysis. Furthermore, limited by technological development, the business needs and application scenarios for intelligent systems are still unclear, leading to a situation where systems prioritize data aggregation and management over data mining and analysis. Intelligent analysis has not been effectively implemented, and the level of intelligence urgently needs improvement. From an internal perspective, with the increasing number of newly commissioned hydropower stations, the problem of insufficient human resources is becoming increasingly prominent. Coupled with the year-on-year increase in construction costs, labor costs, and other types of costs for new power stations, hydropower companies are generally facing a severe situation of continuously declining profits. They need to achieve cost reduction and efficiency improvement through lean operation management and intensive production management to ensure the sustainable and healthy development of hydropower companies. Under these circumstances, traditional automation systems are gradually revealing shortcomings such as inconsistent subsystem architectures, inconsistent communication standards, difficulties in information sharing, and insufficient business collaboration capabilities. These shortcomings restrict the rapid development and application of intelligent systems across various businesses and cannot adequately meet the objective needs of hydropower to further enhance comprehensive information assessment capabilities, deeply realize information integration and comprehensive application, improve operation management levels, and transform management models.

[0004] Furthermore, emerging technologies such as cloud computing, big data, the Internet of Things, mobile terminals, virtual reality, and artificial intelligence are maturing and their applications outside the hydropower industry are becoming increasingly mature and widespread, prompting innovation in the hydropower industry's system architecture and business processes. In summary, coping with increasingly fierce external competition and internal operational pressures requires excellent management support, and the implementation of excellent management and concepts requires the support of digital and intelligent platforms. Therefore, the construction of intelligent centralized control has become an inevitable choice. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an intelligent scheduling and interaction system for a smart operation control center, which solves the problems mentioned in the background section.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an intelligent scheduling and interaction system for a smart operation control center, comprising:

[0007] The centralized control cloud platform is used to provide basic computing resources;

[0008] The intelligent centralized control platform is used to schedule other platforms;

[0009] A data analysis platform is used to analyze data;

[0010] A database is used to store runtime data;

[0011] A real-time data monitoring terminal is used to display the analysis results of the data analysis platform.

[0012] Optionally, the centralized control cloud platform includes:

[0013] Basic resources such as computing resource pools, storage resource pools, east-west security resource pools, network resource pools, and cloud resource management tools are used to provide basic resources for the intelligent operation control center.

[0014] Optionally, the intelligent centralized control platform includes:

[0015] Big data platform, Internet of Things platform, data middle platform, business middle platform and AI middle platform.

[0016] Optionally, the data analysis platform includes:

[0017] The system comprises a smart water dispatching subsystem, a command automation subsystem, and a smart operation subsystem. The computing, storage, and data resources of these subsystems are all supported by the centralized control cloud platform. Business logic processing, data analysis, and intelligent model training are supported by the business middle platform and AI middle platform. The analytical results from the smart water dispatching subsystem, command automation subsystem, and smart operation subsystem are stored in the database for use by other business applications.

[0018] Optionally, the real-time data monitoring terminal includes:

[0019] Monitoring dashboard, business application analysis dashboard, computer and mobile terminals;

[0020] The monitoring screen is used to display the real-time status of various power plants, reservoirs, shipping, and maintenance facilities, providing auxiliary support for operation management and dispatch command.

[0021] The business application analysis on the large screen and computer is used to analyze and display data such as power generation plans, reservoir water levels, weather forecasts, and the power trading market;

[0022] The mobile app is used to display early warning information and data analysis reports.

[0023] Optionally, the database utilizes big data, IoT, AI, and middleware technologies to build an enterprise data warehouse model based on the power generation enterprise's data model, thereby achieving full integration of internal company data, industry data, and third-party data.

[0024] Optionally, the intelligent water regulation system includes:

[0025] It consists of intelligent power generation optimization scheduling of reservoir groups, intelligent meteorological and hydrological forecasting, intelligent emergency decision-making, deep learning data management, dynamic display and intelligent interaction, and intelligent flood control optimization scheduling of the basin.

[0026] The intelligent water level control subsystem terminal includes:

[0027] Supported by the meteorological and hydrological forecasting center, the emergency intelligent decision-making center, and the joint optimization and dispatching center.

[0028] Optionally, the intelligent automation subsystem includes:

[0029] Intelligent operation and maintenance module and holographic simulation and control module;

[0030] The intelligent operation and maintenance module includes:

[0031] The system includes a status monitoring module, an automatic recovery module, an inspection report module, an intelligent inspection module, a smart alarm module, a monitoring and evaluation module, an equipment management module, and a fault handling module.

[0032] The holographic simulation and control module includes:

[0033] The module includes a smart network module, a situation display module, an operation training module, a digital twin module, a smart talent module, a performance management module, an imprinting exercise module, and an operation holographic feedback module.

[0034] Optional, the intelligent operation subsystem includes:

[0035] The system includes an operation and decision-making module, an intelligent monitoring module, an intelligent operation module, an intelligent command module, a command and decision-making module, and a large-screen global situation display module.

[0036] This invention provides an intelligent scheduling and interaction system for a smart operation control center, which has the following beneficial effects:

[0037] 1. This intelligent operation control center's intelligent scheduling and interaction system, through the cooperation of the control cloud platform, intelligent control platform, data analysis platform, and database, can be updated and upgraded in real time, ensuring that the interactive system's capabilities and application capabilities keep pace with the times. This guarantees the system's long lifespan and scalability, ensuring both the system's advanced nature and the stability and security of the technology. Attached Figure Description

[0038] Figure 1 This is a schematic diagram of the modular system of the present invention;

[0039] Figure 2 This is a schematic diagram of the data analysis platform subsystem of the present invention;

[0040] Figure 3 This is a schematic diagram of the real-time data monitoring terminal subsystem of the present invention;

[0041] Figure 4 This is a schematic diagram of the database of the present invention;

[0042] Figure 5 This is a schematic diagram of the intelligent water regulation system of the present invention;

[0043] Figure 6 This is a diagram of the command automation subsystem of the present invention;

[0044] Figure 7 This is a diagram of the intelligent operation subsystem of the present invention. Detailed Implementation

[0045] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0046] Please see Figures 1 to 7 This invention provides a technical solution: an intelligent scheduling and interaction system for a smart operation control center, comprising:

[0047] Centralized control cloud platform; the centralized control cloud platform includes:

[0048] Basic resources such as computing resource pools, storage resource pools, east-west security resource pools, network resource pools, and cloud resource management tools provide the foundation for the construction of the smart control center.

[0049] Intelligent centralized control platform; the intelligent centralized control platform includes:

[0050] Big data platform, Internet of Things platform, data middle platform, business middle platform and AI middle platform.

[0051] Data analysis platform; the data analysis platform includes:

[0052] The system comprises intelligent water dispatching, command automation, and intelligent operation subsystems. Data analysis is built around these three subsystems. The computing, storage, and data resources of the three subsystems are all supported by the cloud platform. Business logic processing, data analysis, and intelligent model training are supported by the business middle platform and AI middle platform. The analysis results of the three subsystems are organized according to the data specifications of the big data platform and then written into the enterprise data warehouse to support other business applications.

[0053] Database; The database utilizes big data, IoT, AI, and middleware technologies to build an enterprise data warehouse model based on the power generation enterprise data model, achieving full integration of internal company data, industry data, and third-party data.

[0054] Real-time data monitoring terminal; the real-time data monitoring terminal includes:

[0055] Monitoring dashboard, business application analysis dashboard, computer and mobile terminals;

[0056] The monitoring screen terminal enables real-time display of the status of various power plants, reservoirs, shipping, maintenance, etc., providing auxiliary support for operation management and dispatch command;

[0057] The business application analysis on the large screen and computer terminal enables the analysis and prediction of data such as long-term, medium-term and short-term power generation plans, reservoir water levels, weather forecasts, and power trading markets;

[0058] The mobile app can send real-time alerts to on-site staff and submit daily, weekly, and monthly data analysis reports to relevant leaders for review.

[0059] The intelligent water regulation subsystem includes:

[0060] It consists of intelligent power generation optimization scheduling of reservoir groups, intelligent meteorological and hydrological forecasting, intelligent emergency decision-making, deep learning data management, dynamic display and intelligent interaction, and intelligent flood control optimization scheduling of the basin.

[0061] Among them, the intelligent power generation optimization and scheduling of reservoir groups comprehensively identifies and predicts various factors that may lead to risks such as water abandonment, water level exceeding limits, and power loss, and issues relevant prompts and adjusts the scheduling plan and power generation plan. This achieves the synergistic optimization of the quantity and price of the company's cascade power stations, effectively improves the efficiency of water resource utilization, and enhances the comprehensive benefits of the reservoir group.

[0062] Among them, the intelligent flood control optimization scheduling of the basin constructs a flood control optimization scheduling model and intelligent control strategy for flood discharge gates based on hydrological forecasts and flood discharge gate operation rules. It intelligently formulates flood discharge gate control plans, issues gate control instructions to the corresponding "smart power plants", realizes remote automatic operation of flood discharge gates of cascade power stations, and ensures the flood control safety of each cascade reservoir.

[0063] Among them, the dynamic display of intelligent interaction is achieved by establishing a 3D visualization model and VR model of the XXX River Basin and its cascade reservoirs. Data statistical analysis results are displayed through graphs, tables and 3D models. Real-time information such as river basin meteorological and hydrological information, flood runoff, and cascade reservoir operation is displayed. The corresponding scheduling process and results are dynamically displayed according to the corresponding optimized scheduling schemes and gate control schemes.

[0064] Deep learning data management automatically calibrates and corrects key parameters based on system operation. It uses artificial intelligence, deep learning and other technologies to extract and optimize the patterns of scheduling schemes, power generation plan maintenance arrangements, gate control and other strategies, and autonomously supplements the knowledge base to realize the self-learning and self-upgrading of the "smart water dispatching" system. It collects and organizes various types of data such as power system operation, power market, power supply and demand, industrial and commercial development, power generation operation of major power stations other than major river basin water companies, and meteorological data of relevant provinces and regions, and analyzes and mines them as the basis for meteorological and hydrological forecasting and optimized operation.

[0065] The intelligent water level control subsystem terminal includes:

[0066] Supported by the meteorological and hydrological forecasting center, the emergency intelligent decision-making center, and the joint optimization and dispatching center.

[0067] The meteorological and hydrological forecasting center mainly utilizes comprehensive perception of information such as hydrological monitoring system station data, meteorological department data, network data, satellite monitoring, meteorological radar, hydrology, and reservoir operation. It combines the three-dimensional topography and climate of the basin to establish a variety of long-term, medium-term, and short-term integrated meteorological and hydrological forecasting models, and intelligently selects forecasting models and parameters to carry out meteorological forecasts, wind and solar forecasts, and hydrological forecasts at various cross sections. Based on the actual meteorological and hydrological conditions and forecast results, it intelligently identifies the flood control risks of each power station and issues early warning information to the corresponding "smart power plants" through the cloud platform.

[0068] The Emergency Intelligent Decision-Making Center establishes emergency plan databases for cascade flood control scheduling, flood control and emergency rescue at various power stations, and geological disasters. It analyzes and identifies relevant safety risks of cascade power stations by combining meteorological and hydrological forecasts, power station operation, and reservoir and dam monitoring. Based on the corresponding risk levels, plan requirements, and knowledge base, it intelligently generates corresponding emergency response processes and builds an emergency command and dispatch platform. It integrates modules such as intelligent meteorological and hydrological forecasting, intelligent control of floodgates, and 3D visualization to achieve a comprehensive display of operational data and safety risk scheduling effects. It assists leadership in making emergency command decisions and issues relevant early warnings, risks, and command orders to the corresponding "smart power plants."

[0069] The intelligent automation subsystem includes:

[0070] Intelligent operation and maintenance and holographic simulation and control module.

[0071] The intelligent operation and maintenance module includes:

[0072] Status monitoring, automatic recovery, inspection report, intelligent inspection, smart alarm, monitoring and evaluation, equipment management and fault handling modules;

[0073] The status monitoring mainly involves configuring the screens of the field control systems of each power station to ensure consistency with the monitoring screens of each production control system. This includes: overall plant overview, unit production process operation monitoring, electrical system data monitoring, turbine system data monitoring, generator system data monitoring, auxiliary control operation monitoring, interface status monitoring, etc.

[0074] The intelligent alarm system includes information from various plants and stations, including alarm information. The alarm information of all units is collected through the plant and station monitoring screen interface. The alarm information of multiple plants and stations is collected through the central control screen. On-duty personnel can monitor the alarm information of ten plants and stations in real time through the central control screen and can trace back to each plant, each system, and individual alarm.

[0075] The automatic recovery feature provides application and approval for production equipment shutdown and resumption of service. It supports the application and management of production equipment shutdown, allowing operating or standby production equipment to be stopped or taken out of standby status through operation, and then undergoing maintenance, testing, dismantling, modification, or replacement after safety measures are in place. It also supports the management of production equipment resumption of service. After maintenance, testing, installation, modification, or replacement of production equipment is completed and safety measures are removed, the equipment is ready for operation and can be put into operation or standby status through operation.

[0076] The monitoring and evaluation system obtains the health status indicators of the equipment based on the equipment early warning rules, predicts and warns of equipment failures in advance, analyzes and displays the historical operation of the equipment, and assists in the diagnosis of equipment failures.

[0077] The management of intelligent inspection mainly involves maintaining inspection standards, setting inspection routes, methods, and scope, and automatically collecting inspection parameters to provide data support for analyzing inspection deterioration trends. In addition, the system can automatically allocate inspection tasks according to the plan and push abnormal handling matters to the responsible persons of relevant professionals. It realizes the management of inspection instruments, on-site equipment labels, etc., so that the inspection work can be closed-loop from planning, on-site inspection, and uploading of inspection results to the system.

[0078] The holographic simulation and control module includes:

[0079] Modules include: intelligent network, situational awareness, operational training, digital twin, intelligent talent, performance management, imprinting exercises, and holographic operational feedback.

[0080] The intelligent network, based on the intelligent centralized control software platform, standardizes and binds all network-reachable nodes. A network management and control platform is built to achieve centralized network structure adjustment and optimization, network protocol configuration, address binding, and permission settings. Simultaneously, it performs real-time monitoring of channel transmission rates, health status, and traffic flow control, enabling intelligent network operation and maintenance.

[0081] As hydropower monitoring systems become increasingly information-based, interconnected, and automated, the continuous integration of various intelligent terminals has led to a continuous expansion of the power monitoring system's scale, which in turn presents significant security challenges for hydropower monitoring systems. Real-time perception of the security status of hydropower monitoring systems helps in the timely detection of existing security threats.

[0082] The intelligent operation subsystem includes:

[0083] The system includes modules for operation and decision-making, intelligent monitoring, intelligent operation, intelligent command, command and decision-making, and large-screen global situation display.

[0084] The intelligent monitoring system acquires real-time data from various hydropower station units, systems, equipment, power grids, water conditions, and video from the big data center. Utilizing expert experience and big data AI technology, it constructs an anomaly analysis model of the hydropower station, its units, systems, equipment, and components. This model monitors the hydropower station's operation in real time, quickly alerting staff to anomalies and pushing solutions to facilitate rapid troubleshooting and isolation based on alarms. It provides fast and accurate alarm and handling measures, ensuring equipment safety and extending its service life; reducing the workload of monitoring personnel and minimizing maintenance errors; and achieving intelligent monitoring, intelligent handling, intelligent control, and auxiliary command, enabling one person to monitor multiple hydropower stations—a truly intelligent operation goal.

[0085] Among them, intelligent operation carries out programmed monitoring operations, realizing the function of automatically adjusting the load according to the curve, especially the ability to automatically pass through the vibration zone;

[0086] The intelligent command system, based on hundreds of millions of data points daily, comprehensively analyzes production and operation, automatically generating text-based operational analysis reports with multi-page charts. It also automatically generates relevant analysis reports, promptly grasping the production status of each power plant. The centralized database, supported by a centralized and unified business data foundation and business applications, provides centralized analysis and highlights professional opinions for optimization, guidance, and management improvement, forming a PDCA closed loop. By building a data platform based on the Industrial Internet, it achieves in-depth mining of internal production and operational business data, providing optimization suggestions for production operations, real-time early warnings and fault diagnosis for equipment operation, and big data decision-making guidance for enterprise operations. This realizes innovation and development in the fields of digital energy and the energy internet.

[0087] Intelligent decision-making is based on a data platform, establishing a global data warehouse. Leveraging this data warehouse and utilizing big data, BI, and other technologies, a data-themed database for production and operations is built. After thematic analysis and in-depth mining, intelligent reports are displayed based on key indicators relevant to various management levels, enabling real-time monitoring of enterprise operations and scientific prediction of production and business performance. This provides support for decision-making analysis by enterprise leadership.

[0088] The large-screen global situation display integrates high-definition digital display technology, seamless splicing technology of display units, multi-screen image processing technology, signal switching technology, network technology and other technologies to form a large-screen projection display system with high brightness, high definition, advanced technology, powerful functions and easy use. This provides the central control center with a network centralized video monitoring platform, information resource sharing platform, analysis and decision-making platform and command and dispatch platform.

[0089] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A smart operation centralized control center intelligent scheduling and interaction system, characterized in that, include: The centralized control cloud platform is used to provide basic computing resources; The intelligent centralized control platform is used to schedule other platforms; A data analysis platform is used to analyze data; A database is used to store runtime data; A real-time data monitoring terminal is used to display the analysis results of the data analysis platform.

2. The intelligent scheduling and interaction system for a smart operation centralized control center according to claim 1, characterized in that, The centralized control cloud platform includes: Basic resources such as computing resource pools, storage resource pools, east-west security resource pools, network resource pools, and cloud resource management tools are used to provide basic resources for the intelligent operation control center.

3. The intelligent scheduling and interactive system for a smart operation control center according to claim 2, characterized in that, The intelligent centralized control platform includes: Big data platform, IoT platform, data middle platform, business middle platform, and AI middle platform.

4. The intelligent scheduling and interactive system for a smart operation control center according to claim 3, characterized in that, The data analysis platform includes: The system comprises a smart water dispatching subsystem, a command automation subsystem, and a smart operation subsystem. The computing, storage, and data resources of these subsystems are all supported by the centralized control cloud platform. Business logic processing, data analysis, and intelligent model training are supported by the business middle platform and AI middle platform. The analytical results from the smart water dispatching subsystem, command automation subsystem, and smart operation subsystem are stored in the database for use by other business applications.

5. The intelligent scheduling and interactive system for a smart operation control center according to claim 1, characterized in that, The real-time data monitoring terminal includes: Monitoring dashboard, business application analysis dashboard, computer and mobile terminals; The monitoring screen is used to display the real-time status of various power plants, reservoirs, shipping, and maintenance facilities, providing auxiliary support for operation management and dispatch command. The business application analysis on the large screen and computer is used to analyze and display data such as power generation plans, reservoir water levels, weather forecasts, and the power trading market; The mobile app is used to display early warning information and data analysis reports.

6. The intelligent scheduling and interactive system for a smart operation control center according to claim 1, characterized in that, The database utilizes big data, IoT, AI, and middleware technologies to build an enterprise data warehouse model based on the power generation enterprise's data model, achieving full integration of internal company data, industry data, and third-party data.

7. The intelligent scheduling and interactive system for a smart operation control center according to claim 4, characterized in that, The intelligent water regulation system includes: It consists of intelligent power generation optimization scheduling of reservoir groups, intelligent meteorological and hydrological forecasting, intelligent emergency decision-making, deep learning data management, dynamic display and intelligent interaction, and intelligent flood control optimization scheduling of the basin. The intelligent water level control subsystem terminal includes: Supported by the meteorological and hydrological forecasting center, the emergency intelligent decision-making center, and the joint optimization and dispatching center.

8. The intelligent scheduling and interactive system for a smart operation control center according to claim 4, characterized in that, The intelligent automation subsystem includes: Intelligent operation and maintenance module and holographic simulation and control module; The intelligent operation and maintenance module includes: The system includes a status monitoring module, an automatic recovery module, an inspection report module, an intelligent inspection module, a smart alarm module, a monitoring and evaluation module, an equipment management module, and a fault handling module. The holographic simulation and control module includes: The module includes a smart network module, a situation display module, an operation training module, a digital twin module, a smart talent module, a performance management module, an imprinting exercise module, and an operation holographic feedback module.

9. The intelligent scheduling and interactive system for a smart operation control center according to claim 4, characterized in that, The intelligent operation subsystem includes: The system includes an operation and decision-making module, an intelligent monitoring module, an intelligent operation module, an intelligent command module, a command and decision-making module, and a large-screen global situation display module.

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