1+6+n smart thermal power plant system based on cloud-edge collaboration method

Abstract

The present application belongs to the technical field of smart power plants. Disclosed is a 1+6+N smart thermal power plant system based on a cloud-edge collaboration method. The system comprises a power plant cloud platform, a 6+N smart application system and a group cloud platform, wherein the 6+N smart application system acquires power plant data of the power plant cloud platform, generates management information on the basis of 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 performs unified processing on data in several different systems and devices in the power plant control system to form the power plant data; and the 6+N smart application system comprises a first module and a management module, the management module sending the power plant data to the first module, the first module analyzing the power plant data and feeding back an analysis result to the management module, and the management module performing predictive management on the operation of the production of a power plant on the basis of the analysis result to generate the management information. The operational efficiency, energy efficiency ratio, device effectiveness and service life of a thermal power plant are improved.

Description

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

[0001] The present application claims priority to the Chinese patent application No. 202411229188.7, filed on September 3, 2024, and entitled "1+6+N intelligent thermal power plant system based on cloud edge collaboration method", the content of which is incorporated herein by reference in its entirety. TECHNICAL FIELD

[0002] The present application belongs to the technical field of intelligent power plants, and specifically relates to a 1+6+N intelligent thermal power plant system based on a cloud edge collaboration method. BACKGROUND

[0003] With the deepening of the fourth industrial revolution, the deep integration of information technology such as artificial intelligence and industrial manufacturing is triggering a profound change. The power generation industry is actively exploring ways to use advanced information technology to solve the problems it faces. After decades of development and accumulation, intelligent power plants stand out with their outstanding application potential and broad prospects. The goal of intelligent power plant construction is to use new generation information technology to address the multiple challenges faced by current power plants, including increased safety risks, variable coal quality, frequent load fluctuations, excessive financial pressure, stringent environmental standards, and market demand uncertainty.

[0004] However, traditional thermal power plants face many challenges during operation. First, safety risks increase, including equipment failures, human operational errors, and other factors that can pose a serious threat to the safe operation of the power plant. Second, variable coal quality and frequent load fluctuations make it difficult to ensure the stability of the power plant's operation, while also increasing energy consumption and operating costs. In addition, excessive financial pressure, stringent environmental standards, and market demand uncertainty further exacerbate the operational difficulties of thermal power plants.

[0005] To solve these problems, the concept of intelligent power plants has emerged. Intelligent power plants use new generation information technology to intelligently transform and upgrade various aspects of power plant production, management, and services, thereby achieving efficient, safe, green, and intelligent operation of the power plant. By building a tightly coupled, fully intelligent, and safe and reliable system architecture that covers data collection, intelligent analysis, decision execution, and security protection, intelligent power plants can significantly improve the operational efficiency, energy efficiency ratio, equipment performance, and service life of thermal power plants.

[0006] However, current intelligent power plant application systems cannot fully meet the comprehensive needs of intelligent power plant construction, and there is an urgent need to build a unified standard architecture that can meet the intelligent needs of power plants in all aspects. SUMMARY

[0007] In view of the fact that the existing technology lacks unified standards for the construction of smart power plants, the present application provides a 1+6+N smart thermal power plant system based on a cloud-edge collaborative method, which breaks the traditional constraints of thermal power plants in terms of data fusion, information interaction, intelligent decision-making, and security protection, and constructs a tightly coupled, fully intelligent, and safe and reliable system architecture covering the entire process of data acquisition, intelligent analysis, decision execution, and security protection, thereby significantly improving the operation efficiency, energy efficiency ratio, equipment performance, and service life of the thermal power plant.

[0008] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0009] A 1+6+N smart thermal power plant system based on a cloud-edge collaborative method, comprising a power plant cloud platform, a 6+N smart application system, and a group cloud platform; the 6+N smart application system acquires 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 to a power plant control system, and the power plant cloud platform uniformly processes 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 the analysis results to the management module, the management module predicts and manages the operation of power plant production according to the analysis results, and generates management information.

[0010] As an optional improvement of the present application, the power plant cloud platform comprises a control cloud platform and a management cloud platform; the control cloud platform is used for real-time monitoring of the power plant control system and remote operation of the power plant control system according to the management information sent by the management cloud platform; the management cloud platform is used for collecting, storing, analyzing, and sorting data in a plurality of different systems and devices in the power plant control system, sending the analyzed and sorted data to the 6+N smart application system, receiving the power plant data fed back by the 6+N smart application system, forming management information, and sending the management information to the control cloud platform.

[0011] As an optional improvement of the present application, the first module comprises a capital construction module, an operation module, a maintenance module, a safety module, and a fuel module; the capital construction 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 analysis results, and feed back the analysis results to the management module.

[0012] As an optional improvement of the present application, the operation module also receives maintenance system data of the maintenance module and fuel system data of the fuel module, analyzes the data, generates equipment operation data, and feeds back the data to the management module.

[0013] As an optional improvement of the present application, the overhaul module further receives equipment operation data of the operation module and management information of the management module, and performs analysis to generate an overhaul plan and send it to the safety module.

[0014] As an optional improvement of the present application, the safety module further receives operation data of the operation module and, in combination with the management information of the management module, generates fuel system data.

[0015] As an optional improvement of the present application, the 6+N intelligent application system acquires power plant data of the power plant cloud platform, and then processes the power plant data through the SaaS layer, the PaaS layer and the IaaS layer to form management information.

[0016] As an optional improvement of the present application, it further comprises a terminal device; the terminal device is connected with the 6+N intelligent application system.

[0017] As an optional improvement of the present application, the terminal device is further connected with the power plant cloud platform.

[0018] As an optional improvement of the present application, the terminal device is further connected with the group cloud platform.

[0019] Compared with the prior art, the present application has the following beneficial effects:

[0020] The present application realizes the close coupling and comprehensive intelligentization of the whole process of the thermal power plant, including data acquisition, intelligent analysis, decision execution and safety guarantee, by constructing the power plant cloud platform, the 6+N intelligent application system and the group cloud platform. The power plant cloud platform uniformly processes different system and equipment data in the power plant control system to form comprehensive and accurate power plant data, which provides a solid foundation for the intelligent application system. The 6+N intelligent application system realizes fine management and prediction of the power plant production through in-depth analysis and mining of the data, thereby generating management information with guiding significance. These information are 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 support higher-level decision making. The present application constructs a system architecture that covers the whole process of data acquisition, intelligent analysis, decision execution and safety guarantee, and is tightly coupled, comprehensively intelligent and safe and reliable. It solves the problem of lack of unified standards in the construction of intelligent power plants in the prior art, and provides a complete and standardized intelligent thermal power plant system architecture, which helps to promote the standardization and standardization development of the construction of intelligent power plants. The superiority of this architecture lies in that it can significantly improve the operation efficiency, energy efficiency ratio, equipment efficiency and service life of the thermal power plant, thereby bringing significant economic and social benefits to the thermal power plant. BRIEF DESCRIPTION OF DRAWINGS

[0021] The drawings described herein are for purposes of illustration only and are not intended to limit the scope of the present disclosure in any way. Additionally, the shapes and proportions of the various components depicted in the drawings are not intended to be limiting, and are only for the purpose of helping to understand the present disclosure. In the drawings:

[0022] Figure 1 is a structural schematic diagram of a 1+6+N smart thermal power plant system based on a cloud-edge collaborative method according to the present disclosure;

[0023] Figure 2 is a running schematic diagram of a 1+6+N smart thermal power plant system based on a cloud-edge collaborative method according to the present disclosure;

[0024] Figure 3 is a platform construction schematic diagram of a 1+6+N smart thermal power plant system based on a cloud-edge collaborative method according to the present disclosure.

[0025] In the drawings, 1 is a power plant cloud platform; 101 is a control cloud platform; 102 is a management cloud platform; 2 is a 6+N smart application system; 3 is a capital construction module; 4 is a running module; 5 is a maintenance module; 6 is a safety module; 7 is a fuel module; 8 is a management module; 9 is a terminal device; 10 is a power plant control system; and 11 is a group cloud platform. DETAILED DESCRIPTION

[0026] In order to enable persons skilled in the art to better understand the technical solutions in the present disclosure, the technical solutions in the present disclosure will be described clearly and completely below in combination with the drawings in the present disclosure. The described embodiments are only some of the embodiments of the present disclosure, not all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by persons skilled in the art without creative labor should fall within the scope of protection of the present disclosure.

[0027] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present disclosure belongs. The terminology used in the specification of the present disclosure is only for the purpose of describing specific embodiments and is not intended to limit the present disclosure. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0028] Noun explanation, multi-source heterogeneous data refers to a collection of data from multiple different sources and with different structures, formats and characteristics. These data come from different systems, devices, platforms or applications, so they may all have significant differences in the way data is organized, storage format, semantic meaning and processing method.

[0029] In view of the problem that the construction of intelligent power plants lacks unified standards in the prior art, the application provides a 1+6+N intelligent thermal power plant system based on a cloud-edge collaboration method, as shown in FIG. 1, which comprises:

[0030] The power plant cloud platform 1, the 6+N intelligent application system 2, the terminal device 9, the power plant control system 10 and the group cloud platform 11.

[0031] The power plant cloud platform 1 is used for unified management, storage, analysis modeling, quality management and unified access of power plant multi-source heterogeneous data in the power plant control system 10.

[0032] The 6+N intelligent application system 2 is used for managing the process from the beginning of power plant infrastructure construction to the retirement of the power plant according to the data obtained by the power plant cloud platform 1, and feeding back the management information to the power plant cloud platform 1.

[0033] The group cloud platform 11 is used for integration and analysis of the management information of the 6+N intelligent application system 2, and provides support for decision-making at the group level.

[0034] The power plant cloud platform 1 provides a basic environment for development, debugging, testing, upgrading, maintenance and operation of the 6+N intelligent application system 2. The 6+N intelligent application system 2 covers the whole life cycle of the power plant and can realize full coverage from the beginning of power plant infrastructure construction to the retirement of the power plant. The power plant cloud platform 1 needs to provide computing, network, storage and other basic infrastructures that can dynamically balance the load for the 6+N intelligent application system 2; the power plant cloud platform 1 needs to provide a data middle platform for unified management, storage, analysis modeling, quality management and unified access of power plant multi-source heterogeneous data. In addition, the power plant cloud platform 1 needs to provide public development components supporting the 6+N intelligent application system 2 and provide a unified application development and operation environment.

[0035] The power plant cloud platform 1 unifies the management, storage, analysis modeling and unified access of power plant multi-source heterogeneous data in the power plant control system 10. The 6+N intelligent application system 2 manages the power plant infrastructure construction to retirement based on the data of the power plant cloud platform 1, and feeds back the management information. The group cloud platform 3 integrates and analyzes the management information of the 6+N intelligent application system 2, and provides decision support at the group level.

[0036] The power plant cloud platform 1 comprises a control cloud platform 101 and a management cloud platform 102.

[0037] The control cloud platform 101 is used for being responsible for the control function in the process of power plant operation, such as real-time monitoring of the running state of equipment, remote operation of the control system and the like. Through seamless docking with the power plant control system 10, it can realize closed-loop control and optimization of power plant operation.

[0038] The bottom layer of the control cloud platform 101 includes a pool of computing, storage, and network resources that can be dynamically load-balanced. The system can dynamically allocate and adjust computing, storage, and network resources according to real-time load conditions, ensuring efficient operation and response speed. In addition, the control cloud platform 101 can schedule 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 the changes and growth trends of business to meet the 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 into a unified platform, achieving unified management and scheduling of resources. Simplify the IT architecture, improve resource utilization and system reliability.

[0039] As shown in FIG. 2, the control cloud platform 101 includes a DCS system (Distributed Control System), a maintenance system, a two-ticket system, and a fuel management system.

[0040] The DCS system is responsible for precise and efficient control of industrial processes. By distributing control tasks to multiple controllers, it achieves comprehensive monitoring and decentralized control of production processes. The DCS system ensures the continuity and safety of production processes through data acquisition and processing, monitoring and alarm, control and adjustment, and other functions.

[0041] 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 needs regular maintenance, the maintenance system can provide appropriate guidance and support to ensure 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.

[0042] The two-ticket system ensures the accuracy and compliance of electrical operation tickets based on accurate device operation data provided by the DCS system. At the same time, the two-ticket system also provides management basis and regulations for the maintenance and repair tasks of the maintenance system, ensuring the safety and compliance of operations.

[0043] The fuel management system implements fine management of fuel based on real-time fuel consumption data provided by the DCS system.

[0044] The DCS system includes a main control system, a real-time data acquisition system, a process display system, a remote monitoring system, a human-computer interaction system, and a protection monitoring system.

[0045] The main control system is responsible for monitoring and controlling the operation of the process.

[0046] 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.

[0047] The real-time data acquisition system includes sensors, signal conditioners, data collectors, data storage devices, communication devices, controllers, and computers.

[0048] The sensors are responsible for converting physical quantities into electrical signals, providing basic information for data acquisition. Temperature sensors, pressure sensors, and light-sensitive sensors can be used.

[0049] Signal conditioners can improve the accuracy and reliability of data acquisition, ensuring that the collected data is accurate and reliable. Signal conditioners include amplifiers, filters, analog-to-digital converters, and other components.

[0050] Data collectors can receive data from multiple sensors simultaneously and sample and store data according to a pre-set sampling frequency. Data collectors have multiple input channels, and parameters such as sampling rate, precision, and communication interface can be determined according to specific requirements.

[0051] Data storage devices can store a large amount of data for subsequent analysis and processing. Data storage devices include hard drives, solid-state drives, memory cards, and other components. The number and specifications of data storage devices can be determined based on the amount of data collected and real-time requirements.

[0052] Communication devices transmit collected data to remote servers or other devices, enabling real-time monitoring and remote control of data. Communication devices include Ethernet modules, wireless communication modules, and other components.

[0053] Controllers are responsible for configuring and controlling data acquisition devices, enabling automatic control of the data acquisition process based on pre-set conditions, improving system stability and reliability. Controllers include single-chip microcomputers and embedded systems.

[0054] Computers are the core devices of the data acquisition system, used for data processing, storage, and display. They can receive digital signals transmitted from data acquisition cards for further analysis and processing. Computers can be customized according to requirements, with different CPU, memory, and hard drive configurations to meet the requirements of the data acquisition system.

[0055] Process display systems display various process parameters, allowing operators to visually understand the status of the production process.

[0056] Remote monitoring systems are responsible for obtaining various operating parameters from remote monitoring systems, enabling remote control and monitoring, and improving system reliability and protection.

[0057] Human-computer interaction systems receive human-computer operation instructions and convert them into signals that DCS systems can recognize, enabling interaction between humans and systems.

[0058] 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.

[0059] The management cloud platform 102 is responsible for the management functions of the power plant, such as unified collection, storage, management, analysis of power plant data, and provides a unified access interface. In addition, it also provides general functional components, reduces repeated development, saves 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. Moreover, the management cloud platform 102 is the same as the control cloud platform 101 at the bottom layer, 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 the changes in management requirements. 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.

[0060] The management cloud platform 102 includes robots, cameras, personnel positioning systems, and perimeter protection systems.

[0061] Robots are used for tasks such as inspection and maintenance. Through pre-set programs or remote control, robots can replace manual work and perform efficient and accurate operations.

[0062] Cameras can provide real-time monitoring functions. Through video streaming, the platform can view the scene in real time, detect abnormal situations in a timely manner, and handle them.

[0063] The personnel positioning system uses GPS or other positioning technologies to monitor the location information of personnel in real time, ensuring personnel safety and optimizing personnel scheduling.

[0064] The perimeter protection system usually includes infrared sensors, fences and other devices to monitor and alarm illegal intrusion and protect the safety of the scene.

[0065] When the perimeter protection system detects illegal intrusion, it can immediately trigger an alarm process through the management cloud platform 102, and at the same time, the camera transmits the scene video to the platform for management personnel to view.

[0066] Robots can patrol according to pre-set routes or remote instructions, and transmit patrol 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.

[0067] The personnel positioning system can update personnel location information in real time and work with systems such as cameras and robots to ensure personnel safety. For example, when personnel enter a dangerous area, the system can immediately issue an alarm and instruct the robot or on-site personnel to intervene.

[0068] The management cloud platform 102 forms a unified data fusion center by integrating the data of each system. This enables the platform to comprehensively analyze and process various types of data, providing more comprehensive and accurate information support for managers.

[0069] Therefore, the control cloud platform 101 and the management cloud platform 102 include a dynamically load-balanced computing, storage, and network resource pool that can be flexibly expanded on demand, and are implemented using hyper-converged virtualization or containerization technology.

[0070] The control cloud platform 101 and the management cloud platform 102 not only greatly improve the efficiency of data processing, but also promote the intelligentization and automation level of power plant management. They achieve unified and efficient management of multi-source heterogeneous data within the power plant.

[0071] In terms of unified data management, the control cloud platform 101 and the management cloud platform 102 ensure the security and reliability of data. They support various formats and sources of data, and can effectively classify, store, and backup these data, providing solid data support for the operation of the power plant.

[0072] 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 deeply mine massive amounts of data and extract valuable information through feature engineering, mechanism calculation, machine learning, and deep learning, providing support for decision-making in the power plant. In particular, their pullable analysis operators make the data analysis process more intuitive and convenient.

[0073] 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 requirements. This flexibility enables the platform to better adapt to the actual situation of the power plant, improving the efficiency and accuracy of data processing.

[0074] In addition to data processing functions, the control cloud platform 101 and the management cloud platform 102 also have strong application integration capabilities. They support the unified integration of mobile, PC, and large-screen smart application systems, and achieve unified management and authorization of users, permissions, and logs, as well as single sign-on for various applications. This not only improves the efficiency of application use, but also enhances the security of the system.

[0075] In the Internet of Things, the control cloud platform 101 and the management cloud platform 102 support the access of various devices such as cameras, access control, electronic fences, gas detectors, robots, drones, temperature and vibration sensors, belt scales, and unmanned wheel terminal devices, realizing unified management and monitoring of the devices. This not only improves the intelligence level of the power plant, but also provides strong protection for the safe operation of the power plant.

[0076] The control cloud platform 101 and the management cloud platform 102 provide comprehensive technical support and protection 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 operation efficiency of the power plant, but also promote the intelligent and automated development of power plant management.

[0077] The terminal device 9 can flexibly access the Internet of Things components according to real needs, and its data can be directly applied to the 6+N intelligent application system 2 to provide real-time and accurate data support for power plant operation. At the same time, the data of the terminal device 9 can also be accessed and integrated in the data asset center component, and through the data-driven tool component, it can be deeply mined and analyzed to discover the rules and trends behind the data, providing more comprehensive and in-depth insights for power plant operation. The results after analysis will be distributed to the 6+N intelligent application system 2 to provide scientific basis for power plant management and promote the intelligent and fine operation of the power plant.

[0078] The 6+N intelligent application system 2, where 6 represents the six key first modules of the thermal power plant, including the capital construction module 3, the operation module 4, the maintenance module 5, the safety module 6, the fuel module 7, and the management module 8. These modules are interconnected through intelligent interfaces, while "N" represents the infinite expansion of various innovative intelligent function units within the six modules according to actual needs, ensuring that thermal power plant data resources are maximally integrated and efficiently utilized.

[0079] The 6+N intelligent application system 2 includes the first module and the management module 8.

[0080] The first module includes the capital construction module 3, the operation module 4, the maintenance module 5, the safety module 6, and the fuel module 7.

[0081] The capital construction module 3, the operation module 4, the maintenance module 5, the safety module 6, the fuel module 7, and the management module 8 all contain N flexible and expandable software function modules that can be applied according to the actual needs of the power plant, making the 6+N intelligent application system 2 not only meet the common needs of different power plants, but also meet the individual needs of each power plant.

[0082] As shown in FIG. 2, the 6+N intelligent application system 2 will access, store, manage, serve and mine the value of the data in the power plant cloud platform 1 through the lightweight data platform. The data barriers of various application systems in the power plant are broken through, the data of the plant-side edge cloud and the group center cloud are connected, the coal-fired power plant data is deposited as data assets, and the data value is mined. At the same time, through the reuse and sharing of business and data capabilities, the business requirements are quickly responded, and the large-scale innovation of the power plant is better supported.

[0083] The terminal device 9 is an intelligent terminal that provides sensing capability for the 6+N intelligent application system 2.

[0084] The power plant control system 10 is an industrial control system such as a DCS system and a PLC.

[0085] The group cloud platform 11 is a cloud platform constructed by the superior management unit of the basic power plant, which provides comprehensive management and control capability of the whole group.

[0086] The power plant cloud platform 1 is interconnected with the terminal device 9 through 5G, WIFI, Bluetooth, main and standby redundant optical fiber networks, and connected with the group cloud platform 11 through a VPN tunnel. The power plant cloud platform 1 is connected with the power plant control system 10 through a dynamic defense isolation device, and realizes the interconnection and intercommunication of the bottom layer communication.

[0087] The 6+N intelligent application system 2 includes a capital construction module 3, an operation module 4, a maintenance module 5, a safety module 6, a fuel module 7 and a management module 8.

[0088] The capital construction module 3 lays a data infrastructure for the intelligent power plant, which is specifically divided into two cases of new power plant and in-service power plant. For the new power plant, the capital construction module 3 collects the power plant data to the data center of the power plant cloud platform 1 through measurement of new technologies, intelligent cameras, intelligent instruments and sensors, intelligent tools and 5G wireless network, simultaneously manages and monitors the data collection facilities through the power plant cloud platform 1, and provides basic data for other five intelligent applications through the power plant data collected by the capital construction module 3. For the in-service power plant, the power plant basic data can be transmitted to the data center of the power plant cloud platform 1 through Sqoop and Kafka, so as to provide basic data for other intelligent applications.

[0089] The operation module 4 aims to meet the direct needs of production operation and realizes organic complementation with the power plant control system. The operation module 4 obtains the basic data of the power plant through the capital construction module 3 and obtains the real-time status of the power plant generating equipment and fuel system through the maintenance module 5 and the fuel module 7. The operation module 4 monitors various indicators of the power plant in real time and issues early warning information in a timely manner once abnormalities or potential risks are found to ensure the safe operation of the power plant. Based on real-time data and historical data, decision support is provided for power plant operation, 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, fault diagnosis and prediction of power plant equipment are performed to detect potential problems in advance and take preventive measures. The energy use of the power plant is managed in detail, including energy metering, statistical analysis, energy efficiency evaluation, etc., to achieve energy saving and efficient use. Therefore, the operation module 4 integrates the information of multiple modules to generate equipment operation data, realizes real-time monitoring, decision support, optimized operation, fault diagnosis and prediction, and energy management of the power plant, thereby improving the operation efficiency and safety of the power plant.

[0090] In addition, the operation module 4 also participates in equipment control through the power plant control system 10 to solve the problems of blind spots, operation automation, adaptive optimization control and grid flexible peak regulation control existing in conventional thermal power units. The content that cannot be realized by the existing technology or still needs to be intervened by operation is interacted with the terminal equipment 9 and the operation personnel, effectively replacing the operation personnel to monitor, analyze, diagnose and operate.

[0091] The maintenance module 5 aims to ensure the safety of the generating equipment in the power plant, determines the current status of the generating equipment through generating equipment state monitoring, main generating equipment fault diagnosis and early warning, unit life management and intelligent maintenance, then interacts with the operation module 4 and the management module 8 to obtain equipment operation data and management information, comprehensively analyzes to determine maintenance and repair plan, replacement or procurement plan, and ensures the safe and accurate implementation of the plan through interaction with the safety module 6.

[0092] The safety module 6 aims to protect the safety of personnel and personnel behavior in the power plant and ensure that personnel behavior does not endanger equipment safety. The safety module 6 forms safety system data by interacting with the management module 8 and the maintenance module 5. The safety module 6 is a power plant intelligent safety management infrastructure that integrates plans, videos, pictures, voices and geographic location information, is based on a power plant safety management private network, and is characterized by organic interaction of subsystems. The safety module 6 effectively integrates various types of safety subsystems and comprehensively processes various plant business under the visual three-dimensional scene monitoring picture, thereby realizing the coordinated linkage and safety protection of the smart plant area.

[0093] The fuel module 7 aims to realize a fuel full life cycle intelligent management system, forms fuel system data by interacting with the operation module 4 and the management module 8, and realizes intelligent management of the whole process from fuel purchase, stacking, blending, powder making, combustion and emission optimization based on coal quality online analysis and visualization technology, intelligent control technology and big data analysis technology, and finally realizes unmanned or less manned operation of the fuel system.

[0094] The management module 8 interacts with the capital construction module 3, the operation module 4, the maintenance module 5, the safety module 6 and the fuel module 7, and realizes intelligent management of the whole plant production and operation activities based on data information sharing and efficient use of assets.

[0095] As shown in FIG. 3, the 6+N intelligent application system 2 processes the collected power plant data through the SaaS layer (software as a service), the PaaS layer (platform as a service) and the IaaS layer (infrastructure as a service), forms management information, and cooperates with the group cloud platform 11.

[0096] The IaaS layer includes physical servers, storage devices, network devices, virtualization software, data center facilities and network connection devices.

[0097] The IaaS layer analyzes the data collected by the power plant cloud platform 1 and provides stable bottom support for the 6+N intelligent application system 2. According to the needs of the 6+N intelligent application system 2, the IaaS layer can quickly increase or reduce computing, storage and network resources to ensure the high availability and performance of the application.

[0098] The PaaS layer classifies and maintains the data analyzed by the IaaS layer, and then the SaaS layer accesses.

[0099] The application realizes centralized and standardized data by unified management, storage, analysis modeling and unified access of power plant multi-source heterogeneous data through the power plant cloud platform, improves 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 intelligent application system covers the whole process from the beginning of the power plant capital construction to the retirement of the power plant, realizes the overall intelligent management of the power plant operation. This not only improves the operation efficiency of the power plant, but also optimizes the resource allocation of the power plant and reduces the operation cost. Moreover, the management module in the 6+N intelligent application system obtains rich interaction information by interacting with the first module. Based on this information, the management module can accurately predict control, decision and process optimization of the production and operation of the power plant. This accurate management method helps to reduce the operation risk of the power plant and improve the economic benefit of the power plant.

[0100] The entire system realizes data sharing and interconnection between various systems in the power plant through cloud-edge collaboration. This tightly coupled system architecture enhances the security protection capability of the power plant, enabling it to respond quickly and resume normal operation when subjected to various security threats.

[0101] The group cloud platform 11 can integrate and analyze the management information of the 6+N intelligent application system 2, providing data support for decision-making at the group level. This big data-based decision-making approach improves the accuracy and efficiency of group decision-making, helping to enhance the strategic development and market competitiveness of the entire group.

[0102] In summary, the 1+6+N intelligent thermal power plant system based on cloud-edge collaboration method provides strong support for the transformation and upgrading of the power generation industry by efficient data management, comprehensive intelligent applications, precise prediction and control, enhanced security protection, and improved group decision-making capabilities, providing a solid energy guarantee for the stability and development of the national economy.

[0103] The present application innovatively integrates industrial internet, cloud computing, artificial intelligence, integrated management and control, intelligent control and other technologies, and constructs a 1+6+N intelligent thermal power plant architecture based on a cloud-edge collaboration method. This architecture aims to break through the traditional constraints of thermal power plants in data fusion, information interaction, intelligent decision-making, and security protection, and to build a tightly coupled, comprehensive intelligent, and secure and reliable system architecture covering the entire process of data collection, intelligent analysis, decision execution, and security protection, thereby significantly improving the operational efficiency, energy efficiency, equipment performance, and service life of thermal power plants, and providing standard architecture support for the realization of intelligent, green, and efficient goals of thermal power plants.

[0104] The power plant cloud platform 1, as the core of data management in the power plant, aims to achieve comprehensive unified management of multi-source heterogeneous data in the power plant. It not only collects and stores data from various devices, systems, and sensors, but also conducts in-depth analysis modeling and quality governance on these data to ensure their accuracy and reliability. In addition, the power plant cloud platform 1 provides a unified access interface, enabling various users inside and outside the power plant to conveniently obtain the required data, providing strong support for the intelligent operation of the power plant.

[0105] The 6+N intelligent application system 2 is based on the data provided by the power plant cloud platform 1 and conducts fine management of the entire process from construction to decommissioning of the power plant. This system covers various aspects of power plant operation, such as equipment monitoring, energy management, safety management, and environmental protection monitoring, and can be flexibly expanded according to actual needs. Through the 6+N intelligent application system 2, the power plant can realize 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 of data flow and business flow.

[0106] The group cloud platform 11 stands at the group level and integrates and analyzes the management information generated by the 6+N smart application system 2. Through advanced technologies such as big data technology and artificial intelligence algorithms, the group cloud platform 11 can deeply mine 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 to better cope with market changes and risk challenges.

[0107] However, the current smart application system of power plants often has problems such as scattered functions and data islands, which is 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 the intelligent needs of power plants in all aspects. The power plant cloud platform of the present application is designed based on such needs. It not only realizes the unified collection, storage, management, and analysis of all data of the power plant and provides a unified access interface, but also provides rich general function components, reducing repeated development and saving human and material resources. In addition, the present application also contains an application system that can meet the various intelligent needs of power plants, through standardized interfaces and componentized design, realizing efficient collaboration between applications. This design not only improves the flexibility and scalability of the system, but also makes the system better adapt to the development and changes of power plant business.

[0108] Finally, in order to ensure seamless integration with the power plant control system and closed-loop control, the power plant cloud platform of the present application uses advanced communication technology and control algorithms. Through real-time communication and data exchange with the power plant control system, the platform can obtain real-time operation data of the control system and feed back the analysis results to the control system, thereby realizing closed-loop control and optimization of power plant operation. This not only improves the work efficiency of the power plant, but also reduces the operating cost and risk.

[0109] Many embodiments and many applications besides those described above will be apparent to those skilled in the art from consideration of the specification and practice of the teachings disclosed herein. Therefore, the scope of the present teachings should be determined by the following claims and equivalents thereof. For purposes of completeness, all articles and references, including patents and publications, are incorporated by reference herein. The omission of any aspect of the subject matter disclosed herein from any claim does not preclude that aspect from being claimed in another claim, or in a different claim. Nothing recited herein is intended to be a voluntary disclaimer of any feature discloses herein.

[0110] The above is further detailed description of the present application, and cannot be regarded as the specific embodiment of the present application limited to this. For the ordinary skilled in the art to which the present application belongs, without departing from the concept of the present application, a number of simple deductions or substitutions can be made, and all should be regarded as belonging to the protection scope of the present application determined by the claims submitted.

Claims

1. A 1+6+N intelligent thermal power plant system based on a cloud edge collaboration method, characterized in that, The power plant cloud platform (1), the 6+N intelligent application system (2) and the group cloud platform (11) are included. The 6+N intelligent application system (2) acquires power plant data of the power plant cloud platform (1), forms management information according to 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 with 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 result to the management module (8), the management module (8) predicts and manages the operation of power plant production according to the analysis result, and generates management information.

2. The 1+6+N smart thermal power plant system based on the cloud edge collaboration method according to claim 1, characterized in that, The power plant cloud platform (1) includes a control cloud platform (101) and a management cloud platform (102). The control cloud platform (101) is used for real-time monitoring of the power plant control system (10) and remote operation of the power plant control system (10) according to the management information sent by the management cloud platform (102). The management cloud platform (102) is used for collecting, storing, analyzing and arranging data in a plurality of different systems and devices in the power plant control system (10), sending the analyzed and arranged data to the 6+N intelligent application system (2), receiving the power plant data fed back by the 6+N intelligent application system (2), forming management information and sending the management information to the control cloud platform (101).

3. The 1+6+N smart thermal power plant system based on the cloud edge collaboration method according to claim 1, characterized in that, The first module includes a capital construction module (3), a running module (4), a maintenance module (5), a safety module (6) and a fuel module (7). The capital construction module (3) receives the power plant data sent by the management module (8), and distributes the power plant data to the running module (4), the maintenance module (5), the safety module (6) and the fuel module (7). The running module (4), the maintenance module (5), the safety module (6) and the fuel module (7) analyze the distributed power plant data, form analysis results and feed back the analysis results to the management module (8).

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

5. The 1+6+N smart thermal power plant system based on the cloud edge collaboration method according to claim 3, characterized in that, The maintenance module (5) also receives equipment running data of the running module (4) and management information of the management module (8), analyzes the data, generates a maintenance plan, and sends the plan to the safety module (6).

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

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

8. The 1+6+N smart thermal power plant system based on the cloud edge collaboration method according to claim 1, characterized in that, The terminal device (9) is also included. The terminal device (9) is connected with the 6+N intelligent application system (2).

9. The 1+6+N smart thermal power plant system based on the 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, characterized in that, The terminal device (9) is also connected to the group cloud platform (11).

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