1+6 + N intelligent thermal power plant system based on cloud edge collaboration method

Abstract

The invention discloses a 1 + 6 + N intelligent thermal power plant system based on a cloud edge collaboration method, and belongs to the technical field of intelligent power plants. The system comprises a power plant cloud platform, a 6 + N smart application system and a group cloud platform. The 6 + N smart application system obtains power plant data of the power plant cloud platform, forms management information according to the power plant data, and sends the management information to the power plant cloud platform and the group cloud platform; the power plant cloud platform is connected with the power plant control system, and the power plant cloud platform performs unified processing on data in a plurality of different systems and devices in the power plant control system to form power plant data; the 6 + N smart application system comprises a first module and a management module; the management module sends the power plant data to the first module, the first module analyzes the power plant data and feeds back an analysis result to the management module, and the management module carries out prediction management on operation of power plant production according to the analysis result and generates management information. The operation efficiency, the energy efficiency ratio, the equipment efficiency and the service life of a thermal power plant are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart power plants, and specifically relates to a 1+6+N smart thermal power plant system based on a cloud-edge collaboration method. Background Art

[0002] The deep integration of information technology such as artificial intelligence and industrial manufacturing is triggering a profound change. Among them, the power generation industry is actively exploring ways to use advanced information technology to solve the difficulties it faces. After decades of development and accumulation, smart power plants stand out with their outstanding application potential and broad prospects. The goal of building smart power plants is to use new generation information technology to resolve the multiple challenges currently faced by power plants, including increased safety risks, variable coal quality, frequent load fluctuations, excessive financial pressure, stricter environmental protection standards, and market demand uncertainty.

[0003] However, traditional thermal power plants face many challenges in their operation. First, safety risks increase, including equipment failures and human errors, which may pose a serious threat to the safe operation of power plants. Second, the variable coal quality and frequent load fluctuations make it difficult to ensure the stability of power plant operations, while also increasing energy consumption and operating costs. In addition, factors such as excessive financial pressure, stricter environmental standards, and uncertainty in market demand have further exacerbated the operational difficulties of thermal power plants.

[0004] In order to solve these problems, the concept of smart power plant came into being. Smart power plant refers to the use of new generation information technology to carry out intelligent transformation and upgrading of various links such as production, management and service of power plants, so as to achieve efficient, safe, green and intelligent operation of power plants. By building a tightly coupled, fully intelligent, safe and reliable system architecture covering the entire process of data collection, intelligent analysis, decision execution and safety assurance, smart power plants can significantly improve the operating efficiency, energy efficiency ratio, equipment performance and service life of thermal power plants.

[0005] However, the current smart application system of power plants can hardly meet the comprehensive needs of smart power plant construction. There is an urgent need to build a unified standard architecture that can meet all aspects of the smart needs of power plants. Summary of the invention

[0006] Aiming at the problem of lack of unified standards in the construction of smart power plants in the prior art, the present invention provides a 1+6+N smart thermal power plant system based on the cloud-edge collaboration method, breaking the traditional constraints of thermal power plants in data fusion, information interaction, intelligent decision-making and safety protection, and building a tightly coupled, fully intelligent, safe and reliable system architecture covering the entire process of data collection, intelligent analysis, decision execution and safety assurance, thereby significantly improving the operating efficiency, energy efficiency ratio, equipment performance and service life of thermal power plants.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] A 1+6+N smart thermal power plant system based on a cloud-edge collaboration method, characterized in that it includes a power plant cloud platform, a 6+N smart application system and a group cloud platform; the 6+N smart application system obtains power plant data from the power plant cloud platform, forms management information based on the power plant data, and sends the management information to the power plant cloud platform and the group cloud platform; the power plant cloud platform is connected to a power plant control system, and the power plant cloud platform uniformly processes data from several different systems and equipment in the power plant control system to form power plant data; the 6+N smart application system includes a first module and a management module; the management module sends the power plant data to the first module, the first module analyzes the power plant data, and feeds back the analysis results to the management module, and the management module predicts and manages the production and operation of the power plant based on the analysis results to generate management information.

[0009] As a further improvement of the present invention, the power plant cloud platform includes a control cloud platform and a management cloud platform; the control cloud platform is used to monitor the power plant control system in real time and remotely operate the power plant control system according to the management information sent by the management cloud platform; the management cloud platform is used to collect, store, analyze and organize data from several different systems and equipment in the power plant control system, and send the analyzed and organized data to the 6+N smart application system, and accept the power plant data fed back by the 6+N smart application system, form management information and send it to the control cloud platform.

[0010] As a further improvement of the present invention, the first module includes an infrastructure module, an operation module, a maintenance module, a safety module and a fuel module; the infrastructure module receives the power plant data sent by the management module, and distributes the power plant data to the operation module, the maintenance module, the safety module and the fuel module; the operation module, the maintenance module, the safety module and the fuel module analyze the distributed power plant data, form an analysis result and feed it back to the management module.

[0011] As a further improvement of the present invention, the operation module also receives the maintenance system data of the maintenance module and the fuel system data of the fuel module, and analyzes them to generate equipment operation data, and feeds them back to the management module.

[0012] As a further improvement of the present invention, the maintenance module also receives the equipment operation data of the operation module and the management information of the management module, and analyzes them to generate a maintenance plan and send it to the safety module.

[0013] As a further improvement of the present invention, the safety module also receives the operation data of the operation module and generates the fuel system data in combination with the management information of the management module.

[0014] As a further improvement of the present invention, the 6+N smart application system obtains the power plant data of the power plant cloud platform, and then processes the power plant data through the SaaS layer, PaaS layer and IaaS layer to form management information.

[0015] As a further improvement of the present invention, it also includes a terminal device; the terminal device is connected to the 6+N smart application system.

[0016] As a further improvement of the present invention, the terminal device is also connected to the power plant cloud platform.

[0017] As a further improvement of the present invention, the terminal device is also connected to the group cloud platform.

[0018] Compared with the prior art, the present invention has the following beneficial effects:

[0019] The present invention realizes the close coupling and comprehensive intelligence of the whole process of data collection, intelligent analysis, decision execution and safety assurance of thermal power plants by constructing three core components: power plant cloud platform, 6+N smart application system and group cloud platform. The power plant cloud platform uniformly processes the data of different systems and equipment in the power plant control system, forming comprehensive and accurate power plant data, which provides a solid foundation for the smart application system. The 6+N smart application system realizes the refined management and prediction of power plant production through in-depth analysis and mining of these data, thereby generating management information with guiding significance. This information is not only fed back to the power plant cloud platform for optimizing the real-time operation of the power plant, but also sent to the group cloud platform to provide support for higher-level decision-making. The present invention constructs a tightly coupled, fully intelligent, safe and reliable system architecture covering the whole process of data collection, intelligent analysis, decision execution and safety assurance. It solves the problem of lack of unified standards in the construction of smart power plants in the prior art, and helps to promote the standardization and standardization of smart power plant construction by providing a complete and standardized smart thermal power plant system architecture. The advantage of this architecture is that it can significantly improve the operating efficiency, energy efficiency ratio, equipment performance and service life of thermal power plants, thereby bringing significant economic and social benefits to thermal power plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings described herein are for explanation purposes only and are not intended to limit the scope of the present invention in any way. In addition, the shapes and proportional dimensions of the components in the drawings are only for illustration purposes to help understand the present invention, and are not intended to specifically limit the shapes and proportional dimensions of the components of the present invention. In the drawings:

[0021] Figure 1 This is a structural schematic diagram of a 1+6+N smart thermal power plant system based on a cloud-edge collaboration method of the present invention;

[0022] Figure 2 This is an operation schematic diagram of a 1+6+N smart thermal power plant system based on a cloud-edge collaboration method of the present invention;

[0023] Figure 3 This is a schematic diagram of the platform construction of a 1+6+N smart thermal power plant system based on the cloud-edge collaboration method of the present invention.

[0024] In the figure, 1 is the power plant cloud platform; 101 is the control cloud platform; 102 is the management cloud platform; 2 is the 6+N smart application system; 3 is the infrastructure module; 4 is the operation module; 5 is the maintenance module; 6 is the safety module; 7 is the fuel module; 8 is the management module; 9 is the terminal equipment; 10 is the power plant control system; and 11 is the group cloud platform. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. The described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in the field without creative work should fall within the scope of protection of the present invention.

[0026] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0027] Definition: Multi-source heterogeneous data refers to a collection of data that comes from multiple different sources and has different structures, formats, and characteristics. These data come from different systems, devices, platforms, or applications, so they may have significant differences in data organization, storage format, semantic meaning, and processing methods.

[0028] Aiming at the problem of lack of unified standards in the construction of smart power plants in the prior art, the present invention provides a 1+6+N smart thermal power plant system based on a cloud-edge collaboration method, such as Figure 1 As shown, the system includes:

[0029] Power plant cloud platform 1, 6+N intelligent application system 2, terminal equipment 9, power plant control system 10 and group cloud platform 11.

[0030] The power plant cloud platform 1 is used for unified management, storage, analysis and modeling, quality management and unified access of the multi-source heterogeneous data of the power plant in the power plant control system 10.

[0031] The 6+N smart application system 2 is used to manage the process from the start of power plant infrastructure construction to the decommissioning of the power plant based on the data obtained by the power plant cloud platform 1, and feed back the management information to the power plant cloud platform 1.

[0032] The group cloud platform 11 is used to integrate and analyze management information based on the 6+N intelligent application system 2 to provide support for decision-making at the entire group level.

[0033] The power plant cloud platform 1 provides the basic environment for the development, debugging, testing, upgrading, maintenance and operation of the 6+N smart application system 2. The 6+N smart application system 2 covers the entire life cycle of the power plant, and can achieve full coverage from the construction of the power plant to the decommissioning of the power plant. The power plant cloud platform 1 needs to provide the 6+N smart application system 2 with computing, network, storage and other infrastructure that can dynamically load balance; the power plant cloud platform 1 needs to provide a data middle platform for unified management, storage, analysis and modeling, quality governance and unified access to the multi-source heterogeneous data of the power plant. In addition, the power plant cloud platform 1 needs to provide public development components that support the 6+N smart application system 2 and provide a unified application development and operation environment.

[0034] The power plant cloud platform 1 uniformly manages, stores, analyzes and models, and uniformly accesses the multi-source heterogeneous data of the power plant in the power plant control system 10. The 6+N smart application system 2 manages the power plant from infrastructure construction to decommissioning based on the data of the power plant cloud platform 1, and feeds back management information. The group cloud platform 3 integrates and analyzes the management information of the 6+N smart application system 2 to provide decision support at the group level.

[0035] The power plant cloud platform 1 includes a control cloud platform 101 and a management cloud platform 102 .

[0036] The control cloud platform 101 is responsible for the control functions during the operation of the power plant, such as real-time monitoring of the equipment operation status, remote operation of the control system, etc. Through seamless connection with the power plant control system 10, it can achieve closed-loop control and optimization of the power plant operation.

[0037] The bottom layer of the control cloud platform 101 contains computing, storage, and network resource pools that can be dynamically load-balanced. It can dynamically allocate and adjust computing, storage, and network resources according to the real-time load of the system to ensure efficient operation and response speed of the system. In addition, the control cloud platform 101 can dispatch resources on demand and flexibly expand according to actual needs. Whether it is computing resources, storage resources or network resources, they can be quickly adjusted according to business changes and growth trends to meet changing business needs. At the same time, the control cloud platform 101 also uses hyper-converged virtualization technology to integrate computing, storage, network and other resources onto a unified platform to achieve unified management and scheduling of resources. Simplify IT architecture and improve resource utilization and system reliability.

[0038] like Figure 2 As shown, the control cloud platform 101 includes a DCS system (Distributed Control System), a maintenance system, a two-ticket system and a fuel management system.

[0039] The DCS system is responsible for the precise and efficient control of industrial processes. By assigning control tasks to multiple controllers, comprehensive monitoring and decentralized control of the production process is achieved. The DCS system ensures the continuity and safety of the production process through functions such as data collection and processing, monitoring and alarming, control and regulation.

[0040] The maintenance system is responsible for the maintenance and repair of the DCS system and related equipment. When the DCS system or equipment fails or requires regular maintenance, the maintenance system can provide corresponding guidance and support to ensure the stable operation of the system. At the same time, the maintenance system is also responsible for recording and analyzing fault data to provide a basis for system optimization and improvement.

[0041] The two-ticket system provides accurate equipment operation data based on the DCS system to ensure the accuracy and compliance of the electrical operation ticket. At the same time, the two-ticket system also provides management basis and regulations for the maintenance and overhaul tasks of the overhaul system to ensure the safety and compliance of operations.

[0042] The fuel management system realizes refined fuel management based on the real-time fuel consumption data provided by the DCS system.

[0043] The DCS system includes the main control system, real-time data acquisition system, process display system, remote monitoring system, human-computer interaction system and protection monitoring system.

[0044] The main control system is responsible for monitoring and controlling the operation of the process.

[0045] The real-time data acquisition system is responsible for collecting real-time data from various sensors to ensure the accuracy and real-time nature of the data.

[0046] The real-time data acquisition system includes sensors, signal conditioners, data collectors, data storage devices, communication equipment, controllers and computers.

[0047] Sensors are responsible for converting physical quantities into electrical signals and providing basic information for data collection. Sensors can be temperature sensors, pressure sensors, photosensors, etc.

[0048] Signal conditioners can improve the accuracy and reliability of data acquisition and ensure that the collected data is accurate and reliable. Signal conditioners include amplifiers, filters, analog-to-digital converters, etc.

[0049] The data collector can receive data from multiple sensors at the same time, sample and store the data according to the preset sampling frequency. The data collector usually has multiple input channels, and parameters such as sampling rate, accuracy, and communication interface can be determined according to specific needs.

[0050] Data storage devices can store large amounts of data for subsequent analysis and processing. Data storage devices include hard disks, solid-state drives, memory cards, etc. The number and specifications of data storage devices can be determined based on the amount of data collected and real-time requirements.

[0051] The communication equipment transmits the collected data to the remote server or other equipment to realize real-time monitoring and remote control of the data. The communication equipment includes Ethernet module, wireless communication module, etc.

[0052] The controller is responsible for configuring and controlling the data acquisition equipment. It can automatically control the data acquisition process according to preset conditions to improve the stability and reliability of the system. The controller includes single-chip microcomputers, embedded systems, etc.

[0053] The computer is the core device of the data acquisition system, used for data processing, storage and display. It can receive the digital signal transmitted from the data acquisition card for further analysis and processing. At the same time, the computer can be customized according to needs, and different CPU, memory, hard disk and other configurations can be selected to meet the requirements of the data acquisition system.

[0054] The process display system is responsible for displaying various process parameters so that operators can intuitively understand the status of the production process.

[0055] The remote monitoring system is responsible for obtaining various operating parameters from the remote monitoring system, realizing remote control and monitoring, and improving the reliability and protection of the system.

[0056] The human-computer interaction system is responsible for receiving human-computer operation instructions and converting them into signals that can be recognized by the DCS system, thereby realizing interaction between humans and the system.

[0057] The protection monitoring system is responsible for monitoring various protection parameters in the process, such as temperature, pressure, flow, etc., to ensure the protection and safety of the process.

[0058] The management cloud platform 102 is responsible for the management functions of the power plant, such as unified collection, storage, management, and analysis of power plant data, and provides a unified access interface. In addition, it also provides common functional components to reduce duplicate development and save human and material resources. Through integration with the 6+N smart application system 2, it can provide comprehensive management support for the operation of the entire power plant. In addition, the management cloud platform 102 has the same underlying layer as the control cloud platform 102, and also has the ability of dynamic load balancing and flexible expansion. It can dynamically adjust and manage computing, storage, and network resources according to changes in management needs. At the same time, the management cloud platform 102 also uses hyper-converged virtualization or containerization technology to achieve unified management and scheduling of resources. This technology can improve management efficiency, reduce management costs, and improve the scalability and reliability of the system.

[0059] The management cloud platform 102 includes robots, cameras, personnel positioning systems and perimeter protection systems.

[0060] Robots are used for tasks such as inspection and maintenance. Through preset programs or remote control, robots can replace humans to perform tasks efficiently and accurately.

[0061] The camera can provide real-time monitoring function. Through video streaming, the platform can view the on-site situation in real time, detect abnormal situations in time and deal with them.

[0062] The personnel positioning system uses GPS or other positioning technologies to monitor personnel location information in real time, ensure personnel safety, and optimize personnel scheduling.

[0063] Perimeter protection systems usually include infrared sensors, fences and other equipment to monitor and alarm illegal intrusions and protect site safety.

[0064] When the perimeter protection system detects an illegal intrusion, the alarm process can be immediately triggered through the management cloud platform 102, and the camera can be linked to transmit the on-site video to the platform for management personnel to view.

[0065] The robot can conduct inspections according to preset inspection routes or remote instructions, and transmit the inspection data to the platform in real time. At the same time, the platform can guide the robot to conduct targeted inspections based on the video information provided by the camera.

[0066] The personnel positioning system can update personnel location information in real time and work with cameras, robots and other systems to ensure personnel safety. For example, when a person enters a dangerous area, the system can immediately issue an alarm and instruct the robot or on-site personnel to intervene.

[0067] The management cloud platform 102 integrates the data of various systems to form a unified data fusion center, which enables the platform to conduct comprehensive analysis and processing of various types of data and provide managers with more comprehensive and accurate information support.

[0068] Therefore, the underlying layers of the control cloud platform 101 and the management cloud platform 102 include computing, storage, and network resource pools that can be dynamically load-balanced, can be flexibly expanded on demand, and are implemented using hyper-converged virtualization or containerization technology.

[0069] The control cloud platform 101 and the management cloud platform 102 not only greatly improve the efficiency of data processing, but also promote the intelligent and automated level of power plant management, and realize the unified and efficient management of multi-source heterogeneous data in the power plant.

[0070] In terms of unified data management, the control cloud platform 101 and the management cloud platform 102 ensure data security and reliability. They not only support data in various formats and sources, but also can effectively classify, store and back up these data, providing solid data support for the operation of the power plant.

[0071] In terms of data analysis and modeling, the control cloud platform 101 and the management cloud platform 102 are equipped with powerful data processing capabilities. They can conduct in-depth mining of massive data, extract valuable information through feature engineering, mechanism calculation, machine learning, deep learning and other technical means, and provide support for power plant decision-making. In particular, its drag-and-drop analysis operator makes the data analysis process more intuitive and convenient.

[0072] In order to meet the needs of different users, the control cloud platform 101 and the management cloud platform 102 also provide flexible operator expansion functions. Users can customize and develop new operators according to their own needs to meet specific data processing needs. This flexibility enables the platform to better adapt to the actual situation of the power plant and improve the efficiency and accuracy of data processing.

[0073] In addition to data processing functions, the control cloud platform 101 and the management cloud platform 102 also have powerful application integration capabilities. They support the unified integration of mobile, PC, and large-screen smart application systems, and achieve unified management and single-point login of various applications through unified management and authorization of users, permissions, and logs. This not only improves the efficiency of application use, but also enhances the security of the system.

[0074] In terms of the Internet of Things, the control cloud platform 101 and the management cloud platform 102 support the access of multiple devices such as cameras, access control, electronic fences, gas detectors, robots, drones, temperature and vibration sensors, belt scales, and unmanned bucket wheel excavator terminal equipment, realizing unified management and monitoring of the equipment. This not only improves the intelligence level of the power plant, but also provides a strong guarantee for the safe operation of the power plant.

[0075] The control cloud platform 101 and the management cloud platform 102 provide comprehensive technical support and guarantee for the operation of the power plant through their powerful data processing capabilities, flexible application integration capabilities and comprehensive support for the Internet of Things. They not only improve the operational efficiency of the power plant, but also promote the intelligent and automated development of power plant management.

[0076] Terminal devices 9 can be flexibly connected to IoT components according to actual needs, and their data can be directly applied to the 6+N smart application system 2 to provide real-time and accurate data support for power plant operations. At the same time, the data of terminal devices 9 can also be connected to the data asset center component for sorting and integration, and in-depth mining and analysis can be carried out through data-driven tool components to discover the laws and trends behind the data, providing more comprehensive and in-depth insights for power plant operations. The results of the analysis will be distributed to the 6+N smart application system 2 to provide a scientific basis for power plant management and promote the intelligence and refinement of power plant operations.

[0077] 6+N smart application system 2, where 6 represents the six key first modules of a thermal power plant, including infrastructure module 3, operation module 4, maintenance module 5, safety module 6, fuel module 7 and management module 8. These modules are interconnected through intelligent interfaces, while "N" represents the various innovative smart functional units that can be infinitely expanded within the six modules according to actual needs, ensuring the maximum integration and efficient use of data resources in the thermal power plant.

[0078] The 6+N intelligent application system 2 includes a first module and a management module 8 .

[0079] The first module includes an infrastructure module 3 , an operation module 4 , a maintenance module 5 , a safety module 6 and a fuel module 7 .

[0080] The infrastructure module 3, operation module 4, maintenance module 5, safety module 6, fuel module 7 and management module 8 all include N flexible and expandable software function modules, which can be applied according to the actual needs of the power plant, so that the 6+N smart application system 2 can not only meet the common needs of different power plants, but also meet the personalized needs of each power plant.

[0081] like Figure 2As shown in the figure, the 6+N smart application system 2 will use the lightweight data platform to uniformly access, store, manage, serve and mine the data in the power plant cloud platform 1. It will break through the data barriers of various application systems in the power plant, connect the data of the plant-side edge cloud and the group center cloud, and deposit the coal-fired power plant data into data assets, thereby mining the value of the data. At the same time, through the reuse and sharing of business and data capabilities, it can quickly respond to business needs and better support the large-scale innovation of power plants.

[0082] The terminal device 9 is an intelligent terminal that provides perception capabilities for the 6+N smart application system 2.

[0083] The power plant control system 10 is an industrial control system such as a DCS system and a PLC.

[0084] The Group Cloud Platform 11 is a cloud platform built by the superior management unit of the grassroots power plants, providing comprehensive management and control capabilities for the entire group.

[0085] The power plant cloud platform 1 is interconnected with the terminal device 9 through 5G, WIFI, Bluetooth, and the primary and standby redundant optical fiber network, and is connected to the group cloud platform 11 through a VPN tunnel. The power plant cloud platform 1 is connected to the power plant control system 10 through a dynamic defense isolation device to achieve interconnection of the underlying communication.

[0086] The 6+N intelligent application system 2 includes an infrastructure module 3, an operation module 4, a maintenance module 5, a safety module 6, a fuel module 7 and a management module 8.

[0087] Infrastructure module 3 consolidates the data infrastructure for smart power plants, which is specifically divided into two situations: newly built power plants and in-service power plants. For newly built power plants, infrastructure module 3 collects power plant data to the data center of power plant cloud platform 1 through new measurement technologies, smart cameras, smart instruments and sensors, smart tools, and 5G wireless networks. At the same time, the power plant data collected by infrastructure module 3 provides basic data for the other five major smart applications through the management and monitoring data collection facilities through the power plant cloud platform 1. For in-service power plants, the basic data of the power plant can be transmitted to the data center of the power plant cloud platform 1 through Sqoop and Kafka to provide basic data for other smart applications.

[0088] The operation module 4 takes the direct demand of production operation as the target and realizes the organic complementarity with the power plant control system. The operation module 4 obtains the basic data of the power plant through the infrastructure module 3, and obtains the real-time status of the power plant's power generation equipment and fuel system through the maintenance module 5 and the fuel module 7. The operation module 4 monitors the various indicators of the power plant in real time, and issues early warning information in time once an abnormality or potential risk is found to ensure the safe operation of the power plant. Based on real-time data and historical data, it provides decision support for the operation of the power plant, including equipment scheduling, load distribution, fuel procurement, etc. Through intelligent algorithms and models, the operation of the power plant is optimized to improve power generation efficiency, reduce energy consumption and emissions. Using the information provided by the maintenance module, the fault diagnosis and prediction of the power plant equipment are carried out, potential problems are discovered in advance and preventive measures are taken. The energy use of the power plant is finely managed, including energy metering, statistical analysis, energy efficiency evaluation, etc., to achieve energy conservation and efficient utilization. Therefore, the operation module 4 generates equipment operation data by integrating information from multiple modules, thereby realizing functions such as real-time monitoring, decision support, optimized operation, fault diagnosis and prediction, and energy management of the power plant, thereby improving the operating efficiency and safety of the power plant.

[0089] In addition, the operation module 4 also participates in equipment control through the power plant control system 10, solving the blind spot problems, operation automation problems, adaptive optimization control and grid-related flexible peak-shaving control problems existing in conventional thermal power units. The contents that cannot be closed-loop automatically controlled by existing technologies or still require operation intervention are interacted with the operation personnel through the terminal device 9, effectively replacing the operation personnel to monitor, analyze, diagnose and provide operation guidance.

[0090] The maintenance module 5 aims to ensure the safety of the power generation equipment in the power plant. It determines the current status of the power generation equipment through power generation equipment status monitoring, main power generation equipment fault diagnosis and early warning, unit life management, and intelligent maintenance. It then interacts with the operation module 4 and the management module 8 to obtain equipment operation data and management information, conducts comprehensive analysis, determines the maintenance and repair plan, replacement or procurement plan, and ensures the safe and accurate implementation of the plan by interacting with the safety module 6.

[0091] The goal of the safety module 6 is to ensure the safety of personnel and personnel behavior in the power plant, and that personnel behavior will not endanger the safety of equipment. The safety module 6 interacts with the management module 8 and the maintenance module 5 to form safety system data. The safety module 6 is an intelligent safety management infrastructure for power plants that integrates plans, videos, pictures, voices, and geographic location information, based on the power plant safety management network and featuring organic interaction of various subsystems. It effectively integrates various dispersed safety subsystems, and comprehensively handles various plant operations under the visualized three-dimensional scene monitoring screen, thereby realizing coordinated linkage and safety protection of smart plants.

[0092] The fuel module 7 aims to realize the intelligent management and control system of the entire life cycle of fuel. By interacting with the operation module 4 and the management module 8, the fuel system data is formed. Based on the online analysis and visualization technology of coal quality, intelligent control technology, and big data analysis technology, the fuel module 7 realizes the intelligence of the entire process from fuel procurement, stacking, blending, pulverizing, combustion, and emission optimization, and finally realizes unmanned or less-manned operation of the fuel system.

[0093] The management module 8 interacts with the five smart applications of infrastructure module 3, operation module 4, maintenance module 5, safety module 6, and fuel module 7. It takes data information sharing as the basis and efficient utilization of assets as the goal, and realizes smart management of the production and operation activities of the entire plant by adopting data analysis and processing, predictive control, automatic decision-making, and process optimization technologies.

[0094] like Figure 3 As shown, the 6+N smart application system 2 will process the collected power plant data through the SaaS layer (software as a service), PaaS layer (platform as a service) and IaaS layer (infrastructure as a service) to form management information, and coordinate the management information to the group cloud platform 11.

[0095] The IaaS layer includes physical servers, storage devices, network equipment, virtualization software, data center facilities, and network connection equipment.

[0096] The IaaS layer will analyze and process the data collected by the power plant cloud platform 1, and provide a stable underlying interface for the 6+N smart application system 2. According to the needs of the 6+N smart application system 2, the IaaS layer can quickly increase or decrease computing, storage, and network resources to ensure high availability and performance of the application.

[0097] The PaaS layer classifies and maintains data based on the data analyzed by the IaaS layer, which is then accessed by the SaaS layer.

[0098] The present invention uses the power plant cloud platform to uniformly manage, store, analyze, model and uniformly access the multi-source heterogeneous data of the power plant, thereby realizing the centralization and standardization of data and improving the efficiency and accuracy of data processing. This efficient data management method provides a solid data foundation for the intelligent operation of the power plant. The 6+N smart application system covers the entire process from the construction of the power plant to the decommissioning of the power plant, and realizes the comprehensive intelligent management of the power plant operation. This not only improves the operating efficiency of the power plant, but also optimizes the resource allocation of the power plant and reduces the operating cost. In addition, the management module in the 6+N smart application system is used to interact with the first module to obtain rich interactive information. Based on this information, the management module can accurately predict, control, make decisions and optimize the process of the production and operation of the power plant. This precise management method helps to reduce the operating risks of the power plant and improve the economic benefits of the power plant.

[0099] The entire system realizes data sharing and interconnection between various systems within the power plant through cloud-edge collaboration. This tightly coupled system architecture enhances the power plant's security protection capabilities, enabling the power plant to respond quickly and resume normal operation when it encounters various security threats.

[0100] The group cloud platform 11 can integrate and analyze the management information of the 6+N smart application system 2 to provide data support for decision-making at the group level. This big data-based decision-making method improves the accuracy and efficiency of group decision-making, and contributes to the strategic development and market competitiveness of the entire group.

[0101] In summary, the 1+6+N smart thermal power plant system based on the cloud-edge collaborative method provides strong support for the transformation and upgrading of the power generation industry through efficient data management, comprehensive smart applications, accurate prediction and control, enhanced security protection, and improved group decision-making capabilities, and provides a solid energy guarantee for the stability and development of the national economy.

[0102] This invention innovatively integrates technologies such as industrial Internet, cloud computing, artificial intelligence, integrated management and control, and intelligent control to build a 1+6+N smart thermal power plant architecture based on cloud-edge collaboration. This architecture is committed to breaking the traditional constraints of thermal power plants in data fusion, information interaction, intelligent decision-making and safety protection, and building a tightly coupled, fully intelligent, safe and reliable system architecture covering the entire process of data collection, intelligent analysis, decision execution and safety assurance, thereby significantly improving the operating efficiency, energy efficiency ratio, equipment performance and service life of thermal power plants, and providing standard architecture support for thermal power plants to achieve the goals of intelligence, greenness and efficiency.

[0103] As the core of power plant data management, the power plant cloud platform 1 aims to achieve comprehensive and unified management of multi-source heterogeneous data in power plants. It can not only collect and store data generated by various devices, systems and sensors, but also conduct in-depth analysis, modeling and quality management of these data to ensure the accuracy and reliability of the data. In addition, the power plant cloud platform 1 provides a unified access interface, so that all types of users inside and outside the power plant can easily obtain the required data, providing strong support for the intelligent operation of the power plant.

[0104] The 6+N Smart Application System 2 is based on the data provided by the Power Plant Cloud Platform 1 to carry out refined management of the entire process of the power plant from infrastructure construction to decommissioning. This system covers all aspects of power plant operations, such as equipment monitoring, energy management, safety management, environmental monitoring, etc., and can be flexibly expanded according to actual needs. Through the 6+N Smart Application System 2, the power plant can achieve real-time monitoring, early warning and decision support for the operation process, and feed back management information to the Power Plant Cloud Platform 1 in real time, forming a closed-loop data flow and business flow.

[0105] The Group Cloud Platform 11 integrates and analyzes the management information generated by the 6+N Smart Application System 2 at the group level. Through advanced technologies such as big data technology and artificial intelligence algorithms, the Group Cloud Platform 11 can deeply explore the value behind the data and provide strong support for the decision-making of the entire group. This not only helps to optimize resource allocation and improve operational efficiency, but also helps the group better respond to market changes and risk challenges.

[0106] However, the current smart application systems of power plants often have problems such as decentralized functions and data islands, which make it difficult to meet the comprehensive needs of smart power plant construction. Therefore, it is particularly important to build a unified standard architecture that can meet all aspects of the smart needs of power plants. The power plant cloud platform of the present invention is designed based on such needs. It can not only realize the unified collection, storage, management, and analysis of all data of the power plant, and provide a unified access interface, but also provide a wealth of general functional components, reduce duplicate development, and save human and material resources. In addition, the present invention also includes an application system that can meet the various smart needs of power plants, and realizes efficient collaboration between applications through standardized interfaces and componentized design. This design not only improves the flexibility and scalability of the system, but also enables the system to better adapt to the development and changes of power plant business.

[0107] Finally, in order to ensure seamless connection and closed-loop control with the power plant control system, the power plant cloud platform of the present invention adopts advanced communication technology and control algorithms. Through real-time communication and data exchange with the power plant control system, the platform can obtain the operating data of the control system in real time and feed back the analysis results to the control system, thereby realizing closed-loop control and optimization of power plant operations. This not only improves the working efficiency of the power plant, but also reduces operating costs and risks.

[0108] Many embodiments and many applications beyond the examples provided will be apparent to those skilled in the art upon reading the above description. Therefore, the scope of the present teachings should not be determined with reference to the above description, but rather with reference to the preceding claims and the full scope of equivalents to which such claims are entitled. For the purpose of comprehensiveness, all articles and references, including disclosures of patent applications and publications, are incorporated herein by reference. The omission of any aspect of the subject matter disclosed herein in the preceding claims is not intended to be a disclaimer of such subject matter, nor should it be considered that the applicants did not consider such subject matter to be part of the disclosed inventive subject matter.

[0109] The above content is a further detailed description of the present invention. It cannot be determined that the specific implementation methods of the present invention are limited to these. For ordinary technicians in the technical field to which the present invention belongs, without departing from the concept of the present invention, they can also make several simple deductions or substitutions, which should be regarded as belonging to the protection scope of the present invention determined by the submitted claims.

Claims

1. A 1+6+N smart thermal power plant system based on cloud-edge collaboration method, characterized in that: Including power plant cloud platform (1), 6+N smart application system (2) and group cloud platform (11); The 6+N smart application system (2) obtains the power plant data of the power plant cloud platform (1), generates management information based on the power plant data, and sends the management information to the power plant cloud platform (1) and the group cloud platform (11); The power plant cloud platform (1) is connected to the power plant control system (10), and the power plant cloud platform (1) uniformly processes data in a plurality of different systems and devices in the power plant control system (10) to form power plant data; The 6+N intelligent application system (2) includes a first module and a management module (8); The management module (8) sends the power plant data to the first module, the first module analyzes the power plant data and feeds back the analysis results to the management module (8), and the management module (8) performs predictive management on the production and operation of the power plant based on the analysis results to generate management information.

2. According to claim 1, a 1+6+N smart thermal power plant system based on a cloud-edge collaboration method is characterized in that: The power plant cloud platform (1) comprises a control cloud platform (101) and a management cloud platform (102); The control cloud platform (101) is used to monitor the power plant control system (10) in real time and to remotely operate the power plant control system (10) according to management information sent by the management cloud platform (102); The management cloud platform (102) is used to collect, store, analyze and organize data from a number of different systems and devices in the power plant control system (10), and send the analyzed and organized data to the 6+N smart application system (2), and receive power plant data fed back by the 6+N smart application system (2), form management information and send it to the control cloud platform (101).

3. According to claim 1, a 1+6+N smart thermal power plant system based on a cloud-edge collaboration method is characterized in that: The first module comprises an infrastructure module (3), an operation module (4), a maintenance module (5), a safety module (6) and a fuel module (7); The infrastructure module (3) receives the power plant data sent by the management module (8), and distributes the power plant data to the operation module (4), the maintenance module (5), the safety module (6) and the fuel module (7); The operation module (4), maintenance module (5), safety module (6) and fuel module (7) analyze the distributed power plant data, generate analysis results and feed them back to the management module (8).

4. According to claim 3, a 1+6+N smart thermal power plant system based on a cloud-edge collaboration method is characterized in that: The operation module (4) also receives the maintenance system data of the maintenance module (5) and the fuel system data of the fuel module (7), analyzes them, generates equipment operation data, and feeds it back to the management module (8).

5. According to claim 3, a 1+6+N smart thermal power plant system based on a cloud-edge collaboration method is characterized in that: The maintenance module (5) also receives the equipment operation data from the operation module (4) and the management information from the management module (8), performs analysis, generates a maintenance plan, and sends it to the safety module (6).

6. According to claim 3, a 1+6+N smart thermal power plant system based on a cloud-edge collaboration method is characterized in that: The safety module (7) also receives the operation data of the operation module (4) and generates fuel system data in combination with the management information of the management module (8).

7. According to claim 1, a 1+6+N smart thermal power plant system based on a cloud-edge collaboration method is characterized in that: The 6+N intelligent application system (2) obtains the power plant data from the power plant cloud platform (1), and then processes the power plant data through the SaaS layer, PaaS layer and IaaS layer to form management information.

8. According to claim 1, a 1+6+N smart thermal power plant system based on a cloud-edge collaboration method is characterized in that: Also includes a terminal device (9); The terminal device (9) is connected to the 6+N intelligent application system (2).

9. A 1+6+N smart thermal power plant system based on a cloud-edge collaboration method according to claim 8, characterized in that: The terminal device (9) is also connected to the power plant cloud platform (1).

10. The 1+6+N smart thermal power plant system based on the cloud-edge collaboration method according to claim 8 is characterized in that: The terminal device (9) is also connected to the group cloud platform (11).

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