Energy management system of nuclear power plant

Abstract

This application belongs to the field of nuclear power plant monitoring technology and discloses an energy management system for a nuclear power plant. The system includes multiple data acquisition devices, multiple smart gateways, and a server. The data acquisition devices are deployed in multiple areas of the nuclear power plant. Each device in each area collects data from the electrical equipment within that area. Each smart gateway corresponds to one area and receives data from the data acquisition devices within its corresponding area. The smart gateway communicates wirelessly with the data acquisition devices in its corresponding area via a wireless network. The server is wirelessly connected to each of the smart gateways to receive data and perform energy consumption analysis and operation management on the electrical equipment based on the received data. This application enables flexible collection of electricity consumption data from multiple areas, improves the accuracy of energy consumption data collection, and allows for flexible adjustment of the installation location of the data acquisition devices, thus facilitating maintenance and replacement.

Description

Technical Field

[0001] This application belongs to the field of nuclear power plant monitoring technology, and in particular relates to an energy management system for nuclear power plants. Background Technology

[0002] Nuclear energy is one of the important "zero-carbon energy sources" for the future. Compared with wind and solar power, nuclear power is more stable and has higher power generation efficiency. Therefore, it is necessary to pay close attention to the energy management of nuclear power plants.

[0003] However, current energy-saving optimization management of plant power has not been effective. Nuclear power plants mostly use DCS for data acquisition, that is, distributed control system to realize information acquisition and control of electrical equipment in the plant. It is a multi-level computer system composed of process control level and process monitoring level with communication network as the link. It integrates computer, communication, display and control 4C technologies. Its basic idea is distributed control, centralized operation, hierarchical management, flexible configuration and convenient configuration.

[0004] Although wired data communication is reliable, it affects the replacement of electricity meter locations and the switching of data acquisition equipment. It requires the laying of lines and adjustment of wiring methods as the electricity meter locations are changed, making it difficult to flexibly add equipment. Furthermore, there are problems caused by aging lines, which increases maintenance costs. Some equipment can only monitor the gate, and cannot cover all important energy-consuming equipment, which is not conducive to detailed monitoring and analysis of the equipment.

[0005] In addition, due to the early design concepts of nuclear power plants, some energy-consuming facilities currently lack overall planning, the metering level is unclear, the metering targets are not clear, there is a lack of refined assessment indicators for electricity consumption, and the main energy-consuming equipment lacks proactive energy-saving and power-saving diagnosis. Summary of the Invention

[0006] The purpose of this application is to overcome the shortcomings of the prior art and provide an energy management system for nuclear power plants to achieve flexible collection of electricity consumption data in multiple areas, improve the accuracy of energy consumption data collection, and save construction and operation time and reduce line laying costs through wireless communication networks.

[0007] To achieve the above objectives, this application provides the following technical solution: An energy management system for a nuclear power plant, comprising: Multiple data acquisition devices are deployed in multiple areas of the nuclear power plant. Each device in each area is used to collect data on the electrical equipment used in that area. Multiple smart gateways, each corresponding to a specific area, are used to receive data sent by data collection devices within that area. The smart gateways communicate wirelessly with the data collection devices within their respective areas via a wireless network. The server is wirelessly connected to multiple smart gateways to receive data sent by each smart gateway and to perform energy consumption analysis and operation management of the electrical equipment in the site based on the received data.

[0008] As one feasible approach, the data acquisition device is equipped with an operating interface. The data acquisition device is used to configure the transmission strategy according to the transmission configuration information received by the operating interface, and to send the data of the electrical equipment in the field to the corresponding smart gateway through the wireless network according to the transmission strategy.

[0009] As one feasible approach, the transmission configuration information includes at least one of the following: transmission data format, communication frequency, data precision, and encryption mode.

[0010] As an feasible approach, when the smart gateway receives data from the on-site electrical equipment sent by the corresponding data collection device, if the data is encrypted, it decrypts the encrypted data, filters out the valid data from the on-site electrical equipment data, and sends the valid data directly or encrypted to the server via the wireless network; if the data is unencrypted, it directly filters out the valid data from the on-site electrical equipment data, and sends the valid data directly or encrypted to the server via the wireless network.

[0011] As one feasible approach, after receiving data from the smart gateway, the server cleans the data and then categorizes and stores the cleaned data.

[0012] As an feasible approach, the server refines the energy consumption statistics of the electrical equipment in the field based on the classified and stored data. The energy consumption statistics include at least one of the short-term, medium-term and long-term energy consumption statistics, and performs statistics on the energy consumption statistics and displays the statistical results.

[0013] As an feasible approach, the server analyzes the energy consumption of key equipment in the field based on their operating strategies. Based on the analysis results, it predicts the energy consumption of key equipment within a predetermined timeframe in the future. Then, based on the predicted energy consumption and energy-saving targets, it optimizes the operating parameters of key equipment and provides optimization suggestions to users.

[0014] As one feasible approach, the server is connected to the factory production system server to exchange data with the factory production system server.

[0015] As an feasible approach, the data acquisition device, smart gateway, and server are all equipped with 5G communication SIM cards, and the data acquisition device communicates with the smart gateway, and the smart gateway communicates with the server via a 5G wireless network.

[0016] As an feasible approach, the data collection device is also equipped with a QR code containing information about the device. The server uses this information to manage the data collection device.

[0017] As an feasible approach, the system uses artificial neural network deep learning and iteration based on the operation records of the electrical equipment in the field to train a model suitable for the equipment. The model diagnoses the operating status of the equipment and provides users with adjustment and optimization suggestions.

[0018] Compared with existing technologies, the energy management system for nuclear power plants provided in this application has the following advantages: This application enables flexible collection of electricity consumption data from multiple regions, improves the accuracy of energy consumption data collection, and allows for flexible adjustment of the installation location of the collection equipment, thereby facilitating maintenance and replacement.

[0019] This application, while meeting standardization requirements, can effectively improve the efficiency of daily operation and management of nuclear power plants and provide strong support for energy-saving management of nuclear power plant power consumption.

[0020] This application utilizes a wireless communication network to save construction time and reduce line laying costs. Attached Figure Description

[0021] To more clearly illustrate the technical solution of this application, the accompanying drawings used in the technical description will be briefly introduced below.

[0022] Figure 1 A structural block diagram of the energy management system of a nuclear power plant provided in this application; Figure 2 A schematic diagram of the energy management system of the nuclear power plant provided in this application; Figure 3 A schematic diagram of the plant power consumption index system in the energy management system of the nuclear power plant provided for this application; Figure 4 A schematic diagram illustrating the energy consumption analysis of key equipment in the energy management system of a nuclear power plant, provided for this application.

[0023] Explanation of reference numerals in the attached figures: 110. Data acquisition equipment; 120. Smart gateway; 130. Server. Detailed Implementation

[0024] The following detailed description provides further details on specific implementation methods.

[0025] like Figure 1 As shown, this application provides an energy management system for a nuclear power plant, including a data acquisition device 110, a smart gateway 120, and a server 130.

[0026] There are typically multiple data acquisition devices 110, distributed across multiple areas within the nuclear power plant. Each data acquisition device 110 within a specific area collects data from the electrical equipment within that area. There are also typically multiple smart gateways 120, each corresponding to a specific area. Each smart gateway 120 receives data from the data acquisition devices 110 within its corresponding area, communicating wirelessly with these devices via a wireless network. A server 130 is wirelessly connected to each of the multiple smart gateways 110 to receive data from each gateway and to perform energy consumption analysis and operational management of the electrical equipment within the plant based on the received data.

[0027] In one embodiment, such as Figure 2 As shown, assuming the nuclear power plant is divided into three zones: Zone 1, Zone 2, and Zone 3, each zone is equipped with a smart gateway 120, such as... Figure 2 The three smart gateways corresponding to the three zones shown are: Zone 1 - Smart Gateway, Zone 2 - Smart Gateway, and Zone 3 - Smart Gateway.

[0028] Taking Zone 1 as an example, assuming there are n (n is usually a positive integer greater than 1) on-site electrical devices in Zone 1 that require data collection, then combined with... Figure 2 As shown, n data acquisition devices 110 are used to collect data from n electrical devices in area 1, one-to-one. Figure 2 As shown, after receiving data collected by any one or more of the n data collection devices 110 in Zone 1, the Zone 1 smart gateway sends the data to the server 130.

[0029] In this embodiment, wireless communication is used between the data acquisition device 110 and the smart gateway 120, and wireless communication is also used between the smart gateway 120 and the server 130. That is, a wireless network is established for the data acquisition device 110 (such as a smart monitoring instrument), the smart gateway 120, and the server 130 to realize the data acquisition and management of electrical equipment in the nuclear power plant.

[0030] For example, taking 5G as an example of wireless network, the data acquisition device 110, smart gateway 120, and server 130 can be pre-configured with 5G communication SIM cards. This allows data transmission between the data acquisition device 110 and smart gateway 120, and between smart gateway 120 and server 130, via the 5G wireless network. In other words, configuring 5G communication SIM cards for the data acquisition device 110, smart gateway 120, and server 130 establishes a dedicated 5G communication network within the factory.

[0031] For the data acquisition device 110 to collect data from the corresponding on-site electrical equipment, a wired connection can be used for data acquisition. For example, in the acquisition device 110 (such as a smart monitoring instrument), hardware wiring is used to physically constrain the data acquisition from the on-site electrical equipment, thereby effectively ensuring the stability and reliability of the data acquisition. In this example, since the types of on-site electrical equipment and their locations vary, the data to be collected also differs. Therefore, acquisition devices 110 for various purposes can be set up to adapt to different on-site electrical equipment (such as production equipment), different areas, and different types of measurement methods within the nuclear power plant.

[0032] In one embodiment, the data acquisition device 110 is configured with an operation interface. The data acquisition device 110 is used to configure a transmission policy according to the transmission configuration information received by the operation interface, and to send data of the on-site electrical equipment to the corresponding smart gateway 120 via a wireless network according to the transmission policy. In this example, the transmission configuration information includes, but is not limited to, at least one of the following: data transmission format, communication frequency, data precision, and encryption mode.

[0033] Specifically, a programmable chip is configured for the data acquisition device 110, and an operable visual interface (i.e., an operation interface) is developed. This allows for software-defined settings, such as the data format, communication frequency, data precision, and encryption mode, when converting analog signals to digital signals. This enhances the flexibility and applicability of the data acquisition device 110 in sending data to the smart gateway 120. For example, it can be flexibly configured based on data size, precision, and security requirements to meet specific communication needs. Utilizing 5G communication media and the MQTT protocol, the data acquisition device 110 aggregates and transmits real-time collected data to the smart gateway 120, automatically encrypting the data sent to the smart gateway 120.

[0034] In the above embodiments, the data collected by the data acquisition device 110 from the on-site electrical equipment includes, but is not limited to, some or all of the following: power consumption data, operating parameters, equipment information, and production data.

[0035] The above describes how the data acquisition device 110 collects data from the electrical equipment in the field and sends the data to the smart gateway 120 according to the configured transmission information. The following describes how the smart gateway 120 processes the data after receiving it from the data acquisition device 110 and then sends it to the server 130.

[0036] Specifically, when the smart gateway 120 receives data from the on-site electrical equipment sent by the corresponding data acquisition device 110, if the data is encrypted, it decrypts the encrypted data, filters out valid data from the on-site electrical equipment data, and sends the valid data directly or encrypted to the server 130 via the wireless network. If the data is unencrypted, it directly filters out valid data from the on-site electrical equipment data and sends the valid data directly or encrypted to the server 130 via the wireless network. In other words, after receiving data sent by the data acquisition device 110, the smart gateway 120 can decrypt the received data using a pre-agreed encryption / decryption method, extract the valid data, convert the data format, and forward it to the server 130.

[0037] After receiving data from the smart gateway 120, server 130 performs further data cleaning and categorizes and stores the cleaned data. In other words, server 130 uses data classification and management methods to achieve functions such as communication status detection, data cleaning, data classification, and historical record management.

[0038] Furthermore, the server 130 is also used to refine the energy consumption statistics of the electrical equipment in the field according to the classified and stored data. The energy consumption statistics include, but are not limited to, at least one of short-term, medium-term and long-term energy consumption statistics. The server 130 also performs statistics on the energy consumption statistics and displays the statistical results.

[0039] In addition, server 130 is also used to analyze energy consumption based on the operating strategies of key equipment in the field, to predict the energy consumption of key equipment in a future predetermined time based on the analysis results, and to optimize the operating parameters of key equipment based on the predicted energy consumption and energy-saving targets, and to provide optimization suggestions to users.

[0040] Specifically, by referencing standard documents and combining them with the existing management and energy consumption structures within the plant area, a basic indicator system structure is established, such as... Figure 3 The diagram illustrates the structure of the plant's power consumption index system. Based on key production indicators in practice, such as power generation, electricity consumption, energy planning, and power quality, detailed short-term, medium-term, and long-term energy consumption statistics are derived. Through the organization and classification of planned data related to production capacity and energy consumption, as well as the analysis of existing historical data on production capacity and energy consumption, multi-dimensional statistics are performed on indicators for different periods, including aspects such as region, equipment, and energy-consuming specialties. The statistical results can be presented in report form, for example, highlighting key energy consumption data.

[0041] like Figure 4As shown, the energy consumption strategy analysis for key equipment is as follows: Pre-set energy consumption strategy data can be entered based on relevant information such as environment, equipment, and energy type from historical data of the plant area. Data collected by intelligent monitoring instruments can be automatically acquired periodically, including ambient temperature and humidity, liquid flow rate in pipelines, equipment operating frequency, equipment operating speed, pipeline pressure, and energy consumption. Based on pre-set classification rules, the data collected by intelligent monitoring instruments is classified, including data type classification and process application classification. Data type classification includes instantaneous variables, cumulative quantities, constants, and computational quantities, and different storage methods are set for different data types, including configuration parameters such as storage period, storage format, and storage precision. Database writing is performed according to different data types and data storage methods. Process application classification includes environmental parameters, key equipment parameters, parameters of equipment associated with key equipment, and historical energy consumption reference values. Attributes are added to the collected data in the database according to different data applications. After data classification, the relationships between environmental parameters, equipment parameters, strategies, and energy consumption data can be learned through neural networks. Based on categorized real-time data (including existing historical data for the current day), the system can assess energy consumption for the current operating strategy and predict energy consumption for the next two hours. After each real-time data analysis, the intelligent module automatically records the data and evaluates the current energy consumption according to indicators in the indicator management system. Based on the energy consumption and energy-saving targets calculated by the intelligent module for the next two hours, it reverse-engineers optimal equipment parameter values ​​and provides parameter values ​​that need adjustment and optimization, combined with historical data. Users can adjust the similarity score themselves, and the system provides control suggestions. This allows for optimization of equipment operating parameters within the plant area, achieving energy conservation.

[0042] In one embodiment, such as Figure 2 As shown, server 130 is also used to connect to the plant production system server 149 for data exchange. For example, server 130 uses an RJ45 interface to establish a wired connection with the plant production system server 140, creating an API interface to achieve data exchange between the nuclear power plant's energy management system and production system. This allows for the synchronization of key equipment information and related production data. Server 130 can also associate data collected by acquisition devices with basic information on key equipment in the production system, creating a data management system. This intelligent inter-system connection ensures data sharing across multiple systems, effectively improving the nuclear power plant's production efficiency and reducing data management costs within the plant.

[0043] In one embodiment, the data acquisition device 110 is also equipped with a QR code containing information about the data acquisition device 110. The server 130 manages the data acquisition device 110 based on this information. Specifically, it sets up a standardized parameter form for the data acquisition device 110 and its basic information, creating a corresponding information QR code. When replacing an existing old electricity meter with the data acquisition device 110, or after determining the installation location of the data acquisition device 110, the QR code of the data acquisition device 110 is scanned using a handheld terminal in the field. This associates the ID of the data acquisition device 110 with the ID of an existing form, automatically uploading the information to the server 130. This allows the server to conveniently manage multiple data acquisition devices.

[0044] Through the above embodiments, flexible collection of electricity consumption data in multiple areas can be achieved: real-time collection of high-precision and accurate energy consumption data, data validity assessment, and data monitoring, historical data query, and data management; distributed multi-point monitoring and collection, freeing users from cable constraints, allowing technicians to easily configure various collection points, replace old instruments and equipment, and achieve flexible installation, addition, removal, and replacement of collection equipment, facilitating plant construction management; establishing a dedicated wireless communication channel, rapidly building an effective communication network through the self-organization and self-configuration functions of nodes, saving construction operation time and reducing line laying costs; adding an encryption mechanism during wireless communication, ensuring data communication speed while providing data security; and enabling one-click information entry by creating QR codes for basic equipment information, such as online visual management of collection instruments.

[0045] Furthermore, the system can analyze daily production and operation processes, establish an indicator management system that conforms to actual conditions based on the energy consumption patterns of key equipment, standardize the management of energy consumption data, realize energy consumption data statistics, generate regular reports, and save time in calculating and compiling energy consumption indicators; it can also use historical data to evaluate short-term, medium-term, and long-term energy consumption indicators. For the analysis of energy consumption strategies for key equipment, the system can classify and summarize the operating parameters of the equipment and its related equipment according to the process links in which the key equipment is located, establish an intelligent analysis module, and optimize and adjust operating parameters in conjunction with operating strategies; the system can also use artificial neural network deep learning and iteration based on the operating records of electrical equipment in the field to train a model suitable for the equipment, diagnose the operating status of the equipment through the model, and provide users with adjustment and optimization suggestions; based on the optimization, the system analyzes the operating energy efficiency of key equipment, and comprehensively evaluates the optimization effect in conjunction with energy management indicators.

[0046] The energy management system for nuclear power plants according to embodiments of this application enables flexible collection of electricity consumption data from multiple areas, improving the accuracy of energy consumption data collection. The collection equipment can be flexibly adjusted in installation location, facilitating maintenance and replacement. While meeting standardization requirements, this system effectively improves the daily operation and management efficiency of nuclear power plants, providing strong support for energy-saving management of plant power consumption. Furthermore, the use of wireless communication networks saves construction and operation time and reduces line laying costs.

[0047] The above description is only a specific embodiment of this application, but the protection scope of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the protection scope of this application.

Claims

1. An energy management system for a nuclear power plant, characterized in that, include: Multiple data acquisition devices are deployed in multiple areas of the nuclear power plant. Each device in each area is used to collect data on the electrical equipment used in that area. Multiple smart gateways, each corresponding to a region. The smart gateway is used to receive data sent by the data collection devices in the corresponding region. The smart gateway communicates wirelessly with the data collection devices in the corresponding region through a wireless network. as well as The server is wirelessly connected to multiple smart gateways to receive data sent by each smart gateway and to perform energy consumption analysis and operation management of the electrical equipment in the site based on the received data.

2. The energy management system for a nuclear power plant according to claim 1, characterized in that, The data acquisition device is equipped with an operation interface. The data acquisition device is used to configure the transmission strategy according to the transmission configuration information received by the operation interface, and to send the data of the electrical equipment in the field to the corresponding smart gateway through the wireless network according to the transmission strategy.

3. The energy management system for a nuclear power plant according to claim 1, characterized in that, When the smart gateway receives data from the on-site electrical equipment sent by the corresponding data collection device, if the data is encrypted, it decrypts the encrypted data, filters out the valid data from the on-site electrical equipment data, and sends the valid data directly or encrypted to the server via the wireless network; if the data is unencrypted, it directly filters out the valid data from the on-site electrical equipment data, and sends the valid data directly or encrypted to the server via the wireless network.

4. The energy management system for a nuclear power plant according to claim 1, characterized in that, After receiving data from the smart gateway, the server cleans the data and then categorizes and stores the cleaned data.

5. The energy management system for a nuclear power plant according to claim 4, characterized in that, The server refines the energy consumption statistics of the electrical equipment in the field based on the classified and stored data. The energy consumption statistics include at least one of the short-term, medium-term and long-term energy consumption statistics, and performs statistics on the energy consumption statistics and displays the statistical results.

6. The energy management system for a nuclear power plant according to claim 4 or 5, characterized in that, The server analyzes the energy consumption of key equipment within the facility based on its operational strategies. It then predicts the energy consumption of these key equipment over a predetermined period based on the analysis results. Finally, it optimizes the operating parameters of these key equipment based on the predicted energy consumption and energy-saving targets, and provides optimization suggestions to the user.

7. The energy management system for a nuclear power plant according to claim 1, characterized in that, The server is connected to the factory's production system server to exchange data with it.

8. The energy management system for a nuclear power plant according to claim 1, characterized in that, The data acquisition device, smart gateway, and server are all equipped with 5G communication SIM cards. The data acquisition device communicates with the smart gateway, and the smart gateway communicates with the server via a 5G wireless network.

9. The energy management system for a nuclear power plant according to claim 1, characterized in that, The data collection device is also equipped with a QR code containing information about the device. The server uses this information to manage the data collection device.

10. The energy management system for a nuclear power plant according to claim 1, characterized in that, The system uses artificial neural network deep learning and iteration based on the operation records of the electrical equipment in the field to train a model suitable for the equipment. The model diagnoses the operating status of the equipment and provides users with adjustment and optimization suggestions.

Images