Nuclear power sensing data acquisition system, transmission method, configuration method and related device

Abstract

The invention relates to the technical field of nuclear power station industrial Internet of Things structures, in particular to a nuclear power sensing data acquisition system, a transmission method, a configuration method and related devices. The system comprises a sensing layer, the sensing layer comprises a plurality of data acquisition chains, first transmission standards adopted by equipment sensors in each data acquisition chain are the same, and nuclear power sensing parameters acquired by each data acquisition chain belong to the same sensing type; the access layer comprises a nuclear power Internet of Things gateway configured with a plurality of first data transmission interfaces and a plurality of second data transmission interfaces; the nuclear power Internet of Things gateway is used for receiving the nuclear power sensing parameters through the first data transmission interface to perform transmission standard conversion processing, and performing transfer transmission on the nuclear power sensing parameters through the second data transmission interface; and the platform layer is used for receiving and scheduling and transmitting the nuclear power sensing parameters. According to the nuclear power sensing data acquisition system, multi-source heterogeneous sensing data acquisition can be realized, so that the acquisition efficiency of the nuclear power sensing data is improved.

Description

Technical Field

[0001] The present application relates to the technical field of industrial Internet of Things structures for nuclear power plants, and in particular to a nuclear power sensor data acquisition system and a transmission method, a configuration method, and related devices. Background Art

[0002] In the actual application system of nuclear power plants, by deploying intelligent device sensor terminals and intelligent gateways, a wireless communication network can be established to realize the networking and intelligent control of device sensors.

[0003] Since a large number of equipment sensors are required for data collection in the industrial Internet of Things of nuclear power plants, but there are many manufacturers of existing intelligent equipment sensors, the data transmission methods, protocols and standards adopted by different equipment sensors are different. Based on this, the sensor data in the nuclear power field has the problem of multiple sources and different types of data. In related technologies, it is necessary to set up multiple collection paths to collect data, but setting up multiple collection paths has the problems of large workload, complex collection paths, time-consuming and labor-intensive, and low efficiency in collecting nuclear power sensor data. Summary of the invention

[0004] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes a nuclear power sensor data acquisition system and a transmission method, a configuration method, and related devices, which can realize multi-source heterogeneous sensor data acquisition, thereby improving the efficiency of nuclear power sensor data acquisition.

[0005] According to the first aspect of the present application, a nuclear power sensor data acquisition system includes: A perception layer, wherein the perception layer includes a plurality of data acquisition chains, each of which is provided with a device sensor for collecting nuclear power sensor parameters of nuclear power equipment, the first transmission standard adopted by each of the device sensors in each of the data acquisition chains is the same, and the nuclear power sensor parameters collected by each of the data acquisition chains belong to the same sensor type; The access layer includes a nuclear power Internet of Things gateway, which is configured with multiple first data transmission interfaces supporting a first transmission standard and multiple second data transmission interfaces supporting a second transmission standard; wherein the nuclear power Internet of Things gateway is used to receive the nuclear power sensor parameters collected by the perception layer through the first data transmission interface, perform transmission standard conversion processing on the nuclear power sensor parameters, and transfer and transmit the nuclear power sensor parameters after the transmission standard conversion processing through the second data transmission interface; The platform layer is used to use the second data transmission interface to receive the nuclear power sensor parameters transmitted by the access layer, and schedule the transmission of the nuclear power sensor parameters.

[0006] According to the nuclear power sensor data acquisition method of the second aspect of the present application, applied to the nuclear power sensor data acquisition system of the first aspect of the present application, the nuclear power sensor data acquisition method includes: In the perception layer, the sensing parameters of nuclear power equipment are collected through equipment sensors to obtain nuclear power sensing parameters; In the access layer, the nuclear power sensor parameters collected by the perception layer are received through the first data transmission interface, the transmission standard conversion processing is performed on the nuclear power sensor parameters, and the nuclear power sensor parameters after the transmission standard conversion processing are transferred and transmitted through the second data transmission interface; In the platform layer, the second data transmission interface is used to receive the nuclear power sensor parameters transmitted from the access layer, and the nuclear power sensor parameters are scheduled for transmission.

[0007] According to some embodiments of the present application, the device sensor includes a vibration device sensor, and the transmission standard conversion processing is performed on the nuclear power sensor parameter, and the nuclear power sensor parameter after the transmission standard conversion processing is transferred and transmitted through the second data transmission interface, including: In response to the nuclear power sensing parameters including high-frequency vibration data collected by the vibration equipment sensor, edge data processing is performed on the high-frequency vibration data; The high-frequency vibration data after edge data processing is transferred and transmitted through the second data transmission interface.

[0008] According to some embodiments of the present application, performing edge data processing on the high-frequency vibration data includes: Performing noise filtering on the high-frequency vibration data to obtain first edge processing data; The first edge processed data is compressed to obtain the high-frequency vibration data after edge data processing.

[0009] According to some embodiments of the present application, performing edge data processing on the high-frequency vibration data includes: Extracting features from the high-frequency vibration data using a pre-trained vibration data processing model to obtain second edge processing data; The second edge processed data is determined as the high-frequency vibration data after edge data processing.

[0010] According to some embodiments of the present application, extracting features from the high-frequency vibration data using a pre-trained vibration data processing model to obtain second edge processing data includes: Segmenting the high-frequency vibration data to obtain vibration sub-data corresponding to each sampling time period; The vibration sub-data of each sampling time period is input into the vibration data processing model for feature extraction to obtain the second edge processing data.

[0011] According to some embodiments of the present application, inputting the vibration sub-data of each sampling time period into the vibration data processing model for feature extraction to obtain the second edge processing data includes: In the vibration data processing model, time domain feature extraction is performed on the vibration sub-data in each sampling time period to obtain time domain vibration features; In the vibration data processing model, frequency domain feature extraction is performed on the vibration sub-data in each sampling time period to obtain frequency domain vibration features; In the vibration data processing model, feature extraction is performed on the complex patterns and nonlinear relationships of the vibration sub-data in each sampling time period to obtain composite vibration features; The time domain vibration feature, the frequency domain vibration feature and the composite vibration feature are subjected to feature fusion to obtain the second edge processing data.

[0012] According to some embodiments of the present application, the step of fusing the time domain vibration feature, the frequency domain vibration feature, and the composite vibration feature to obtain the second edge processing data includes: Preprocessing the time domain vibration feature, the frequency domain vibration feature and the composite vibration feature respectively; Determine the preprocessed time-domain vibration features as time-domain elements, determine the preprocessed frequency-domain vibration features as frequency-domain elements, and determine the preprocessed composite vibration features as composite elements; configuring a first weight for the time domain element, configuring a second weight for the frequency domain element, and configuring a third weight for the composite element; The second edge processing data is obtained by performing weighted fusion according to the time domain element and the corresponding first weight, the frequency domain element and the corresponding second weight, and the third weight corresponding to the composite element.

[0013] According to some embodiments of the present application, the preprocessing of the time domain vibration feature, the frequency domain vibration feature and the composite vibration feature respectively includes: The time domain vibration feature, the frequency domain vibration feature and the composite vibration feature are subjected to normalization processing, noise removal processing and missing value filling processing in sequence to obtain the preprocessed time domain vibration feature, the preprocessed frequency domain vibration feature and the preprocessed composite vibration feature.

[0014] According to some embodiments of the present application, the second data transmission interface is provided with an auxiliary transmission channel, and the second data transmission interface is used to receive the nuclear power sensor parameter transmitted from the access layer, and the nuclear power sensor parameter is scheduled for transmission, including: Determine a large data block having a data size greater than a preset transmission size from a plurality of the nuclear power sensing parameters; Invoking the auxiliary transmission channel to receive the large data block transferred from the access layer; The large data block is scheduled for transmission.

[0015] According to the configuration method for a nuclear power sensor data acquisition system according to the third aspect of the present application, the configuration method is applied to the nuclear power sensor data acquisition system described in the first aspect of the present application, including: Multiple corresponding equipment sensors are configured for different types of nuclear power equipment; wherein the equipment sensors are used to collect nuclear power sensing parameters; For the plurality of device sensors, determining a first transmission standard matching the sensing type according to each of the device sensors of the same sensing type, and setting a data acquisition chain based on the first transmission standard; Configuring the perception layer of the nuclear power sensor data acquisition system based on the data acquisition chain; Based on a preset second transmission standard, configuring the platform layer of the nuclear power sensor data acquisition system; Based on the first transmission standard corresponding to the data acquisition chain and the second transmission standard corresponding to the platform layer, a nuclear power Internet of Things gateway is configured on the access layer of the nuclear power sensor data acquisition system.

[0016] According to some embodiments of the present application, the nuclear power Internet of Things gateway includes a first data transmission interface and a second data transmission interface, and the configuration of the nuclear power Internet of Things gateway for the access layer of the nuclear power sensor data acquisition system based on the first transmission standard corresponding to the data acquisition chain and the second transmission standard corresponding to the platform layer includes: According to the first transmission standard corresponding to each of the data acquisition chains, configuring the first data transmission interface between the nuclear power Internet of Things gateway and the perception layer in the nuclear power sensor data acquisition system; Based on the second transmission standard preset by the platform layer, the second data transmission interface between the nuclear power Internet of Things gateway and the platform layer in the nuclear power sensor data acquisition system is configured.

[0017] According to some embodiments of the present application, the number of sensor types corresponding to the device sensor is a first number, and configuring a nuclear power Internet of Things gateway for the access layer of the nuclear power sensor data acquisition system further includes: Determine the address space corresponding to the nuclear power Internet of Things gateway; Performing division processing on the address space to obtain a first number of address subspaces; wherein each of the address subspaces corresponds to a sensor type; According to the first number of address subspaces, address mapping is configured for the nuclear power Internet of Things gateway.

[0018] In a fourth aspect, an embodiment of the present application provides an electronic device, comprising: a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the nuclear power sensor data acquisition method as described in any one of the embodiments of the first aspect of the present application is implemented.

[0019] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the storage medium stores a program, and the program is executed by a processor to implement a nuclear power sensor data acquisition method as described in any one of the embodiments of the first aspect of the present application.

[0020] The nuclear power sensor data acquisition system and transmission method, configuration method, and related devices of the present application have at least the following beneficial effects: The nuclear power sensor data acquisition system of the present application includes: a perception layer, the perception layer includes multiple data acquisition chains, each data acquisition chain is provided with an equipment sensor for collecting nuclear power sensor parameters of nuclear power equipment, the first transmission standard adopted by each equipment sensor in each data acquisition chain is the same, and the nuclear power sensor parameters collected by each data acquisition chain belong to the same sensor type; an access layer includes a nuclear power Internet of Things gateway, the nuclear power Internet of Things gateway is configured with multiple first data transmission interfaces supporting the first transmission standard, and multiple second data transmission interfaces supporting the second transmission standard; wherein the nuclear power Internet of Things gateway is used to receive the nuclear power sensor parameters collected by the perception layer through the first data transmission interface, perform transmission standard conversion processing on the nuclear power sensor parameters, and transfer the nuclear power sensor parameters after the transmission standard conversion processing through the second data transmission interface; a platform layer is used to receive the nuclear power sensor parameters transferred and transmitted by the second data transmission interface, and schedule the transmission of the nuclear power sensor parameters. This nuclear power sensor data acquisition system can realize multi-source heterogeneous sensor data acquisition, thereby improving the collection efficiency of nuclear power sensor data.

[0021] The configuration method of the nuclear power sensor data acquisition system of the present application is used to configure the above system, aiming to enable the nuclear power sensor data acquisition system to be compatible with the acquisition of various types of nuclear power sensor parameters.

[0022] The nuclear power sensor data acquisition method of the present application is used to control the nuclear power sensor data acquisition system to perform compatible transmission of nuclear power sensor parameters.

[0023] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which: Figure 1 A layered architecture diagram of a nuclear power sensor data acquisition system provided in an embodiment of the present application; Figure 2 Another hierarchical architecture diagram of the nuclear power sensor data acquisition system provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of a nuclear power sensor data acquisition device provided in an embodiment of the present application; Figure 4 It is a schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0025] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be understood as limiting the present application.

[0026] In the description of this application, "several" means one or more, "more" means more than two, "greater than", "less than", "exceed", etc. are understood to exclude the number itself, and "above", "below", "within", etc. are understood to include the number itself. If there is a description of "first" or "second", it is only used for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0027] In the description of the present application, it should be understood that descriptions involving orientation, such as up, down, left, right, front, back, etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0028] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0029] In the description of this application, it should be noted that, unless otherwise clearly defined, the terms such as setting, installing, connecting, etc. should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in this application in combination with the specific content of the technical solution. In addition, the identification of specific steps below does not represent a limitation on the order of steps and execution logic. The execution order and execution logic between each step should be understood and inferred with reference to the contents described in the embodiment.

[0030] In the actual application system of nuclear power plants, by arranging intelligent device sensor terminals and intelligent gateways, a wireless communication network can be established to realize the networking and intelligent control of device sensors. Such a network layout enables device sensors to monitor various physical parameters of nuclear power plants in real time, such as temperature, pressure, vibration, etc., and transmit these data to the central monitoring system for analysis and processing.

[0031] However, since nuclear power plants are usually relatively concentrated areas, most of the time, they still rely on traditional equipment sensors and wired connections to build nuclear power plant industrial Internet of Things. Although these traditional nuclear power plant industrial Internet of Things are stable, they have limitations in flexibility and scalability. In particular, how to effectively network these sensor devices and perception systems at the perception layer to achieve more efficient and intelligent data collection and processing is still an important technical challenge currently faced.

[0032] In the related art, since a large number of equipment sensors are required for data collection in the industrial Internet of Things of nuclear power plants, there are many manufacturers of existing intelligent equipment sensors, and the data transmission methods, protocols and standards adopted by different equipment sensors are different. Based on this, there are problems with the sensor data in the nuclear power field coming from many sources and different types of data. In this case, it is necessary to set up multiple collection paths to collect data in the related art, but setting up multiple collection paths has the problems of large workload, complex collection paths, and time-consuming and labor-intensive. In addition, in view of the particularity of nuclear power scenarios, when the Internet of Things system is applied to nuclear power plants, it must meet the requirements of high-speed collection in nuclear power plants and the environmental adaptability of nuclear power plants.

[0033] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes a nuclear power sensor data acquisition system and a transmission method, a configuration method, and related devices, which can realize multi-source heterogeneous sensor data acquisition, thereby improving the efficiency of nuclear power sensor data acquisition.

[0034] The nuclear power sensor data acquisition system provided in the embodiment of the present application includes: The perception layer includes multiple data acquisition chains, each of which is provided with equipment sensors for collecting nuclear power sensor parameters of nuclear power equipment. The first transmission standard adopted by each equipment sensor in each data acquisition chain is the same, and the nuclear power sensor parameters collected by each data acquisition chain belong to the same sensor type; The access layer includes a nuclear power Internet of Things gateway, which is configured with a plurality of first data transmission interfaces supporting a first transmission standard and a plurality of second data transmission interfaces supporting a second transmission standard; wherein the nuclear power Internet of Things gateway is used to receive the nuclear power sensor parameters collected by the perception layer through the first data transmission interface, perform transmission standard conversion processing on the nuclear power sensor parameters, and transfer and transmit the nuclear power sensor parameters after the transmission standard conversion processing through the second data transmission interface; The platform layer is used to receive the nuclear power sensor parameters transmitted by the second data transmission interface and schedule the transmission of the nuclear power sensor parameters.

[0035] In order to solve the problem of low efficiency of data collection of equipment sensors in the industrial Internet of Things of nuclear power plants in the embodiments of the present application, a nuclear power sensor data collection system is proposed, which optimizes the data collection and transmission process through a carefully designed perception layer, access layer and platform layer.

[0036] First, at the perception layer, the system has designed multiple data collection chains, and each chain is equipped with equipment sensors that collect specific sensing parameters for specific nuclear power equipment. The key is that all equipment sensors in each data collection chain use a unified first transmission standard. This means that all equipment sensors on the same chain can transmit data in the same way, simplifying the data collection and processing process. In addition, each data collection chain is dedicated to one type of sensing, which further simplifies the classification and processing of data because the data on the same chain has the same characteristics and requirements.

[0037] According to some more specific embodiments provided in this application, the specific device sensors used in the perception layer need to be selected. The selection of sensors needs to be comprehensively considered from the aspects of general characteristics, intelligent characteristics, Internet of Things characteristics, material characteristics and nuclear power demand characteristics. The selection of specific device sensors needs to consider their reliability, durability, replaceability, ease of deployment, ease of maintenance, maintenance, installation, scalability and maturity.

[0038] In some more specific embodiments, for special nuclear power equipment in a nuclear power plant, the following equipment sensors may be used:

[0039] Table 1 Since equipment sensors differ in structure, function, and applicable objects, different equipment sensors should use different sampling frequencies to achieve the best results. For example, the sampling frequency of acoustic monitoring methods is as low as 1~2Hz and as high as MHz; the sampling frequency of sound waves is 0~20kHz; the sampling frequency of ultrasonic waves is generally 20k~1MHz; the sampling frequency of temperature and thermal performance monitoring is generally a few Hz to more than ten Hz. The sampling frequency of vibration is generally 10kHz and above, and the sampling frequency of motor current is generally 5kHz.

[0040] Next, at the access layer, the nuclear power sensor data acquisition system introduced the nuclear power Internet of Things gateway, which is a key component connecting the perception layer and higher-level platforms. The nuclear power Internet of Things gateway is equipped with multiple first data transmission interfaces, which support the same first transmission standard as the perception layer, ensuring that data can be smoothly transmitted from the device sensor to the nuclear power Internet of Things gateway. At the same time, in order to achieve wider compatibility and flexibility, the nuclear power Internet of Things gateway is also equipped with multiple second data transmission interfaces that support the second transmission standard. When the data from the perception layer reaches the nuclear power Internet of Things gateway through the first data transmission interface, the nuclear power Internet of Things gateway will perform transmission standard conversion processing, convert the data into the second transmission standard, and then transfer the data through the second data transmission interface to adapt to a wider range of network environments and platform requirements.

[0041] It should be noted that the device sensors at the perception layer can use the following interfaces and protocols as the first transmission standard: First, the transport layer protocol of the device sensor should adopt more universal and standard protocols, such as Modbus, OPC-UA and IO signals (input and output signals); Secondly, the physical interface used for transmission can be RS485, RS232, RS422, wired Ethernet, wireless Ethernet, etc.

[0042] Finally, at the platform level, data can not only be received, but also scheduled for transmission, ensuring that the data can be correctly routed and processed as needed. The existence of this level enables the entire system to manage and utilize the collected data more efficiently, improving the flexibility and response speed of data processing.

[0043] Through this layered and standardized method, the embodiments of the present application effectively solve the problems of multiple sources of sensor data, complex data types, and low acquisition efficiency in the nuclear power field. By unifying the transmission standards and sensor types of the data acquisition chain, the data acquisition and preprocessing process is simplified. At the same time, by converting the transmission standards at the gateway, the compatibility and flexibility of data transmission are improved. Ultimately, the scheduling and transmission mechanism at the platform layer ensures that data can be efficiently managed and utilized, thereby improving the efficiency and performance of the entire nuclear power sensor data acquisition system.

[0044] The nuclear power sensor data acquisition system provided in the embodiment of the present application may also include a network layer and an application layer.

[0045] The network layer can provide basic network facilities for the entire nuclear power sensor data acquisition system, ensuring that data can be transmitted efficiently and stably between the access layer and the platform layer. The core technology of the network layer is the nuclear power software defined network (SDN), which is an advanced network architecture that realizes the programmability of network control by separating the network control function from the data forwarding function. This design not only improves the flexibility and manageability of the network, but also enables the network to dynamically adjust resources according to real-time needs to adapt to various network conditions and application scenarios. It should be pointed out that another important responsibility of the nuclear power software defined network is to connect the DCS data stored in the database with the platform layer. Among them, the distributed control system (DCS) is the core component of the nuclear power plant, which is responsible for collecting and processing a large amount of data from traditional equipment sensors. By integrating this data into the nuclear power sensor data acquisition system, the platform layer can make more comprehensive use of the data resources of the nuclear power plant, thereby improving the intelligence level and operation efficiency of the entire system.

[0046] The application layer is the top layer of the nuclear power sensor data acquisition system. It is directly oriented to the end users and realizes various specific applications of IoT technology in nuclear power plants. The application layer obtains processed and integrated physical signal data from the platform layer, and then defines and implements various intelligent application scenarios according to actual needs. These applications include intelligent identification, positioning, tracking, monitoring, management and industrial control, which make the operation and maintenance of nuclear power plants more efficient, safe and intelligent.

[0047] Reference Figure 1 According to some more specific embodiments provided in the embodiments of the present application, a layered architecture diagram of the nuclear power sensor data acquisition system in the embodiments of the present application is provided. This layered architecture diagram is divided into application layer, platform layer, network layer, access layer and perception layer from top to bottom, and each layer has different functions and roles.

[0048] Perception layer: This layer includes various equipment sensors, such as temperature and humidity sensors, photoresistor sensors, vibration sensors, pressure sensors, noise sensors, inspection robots, smart cameras, PLCs (programmable logic controllers), etc. These sensors are responsible for directly interacting with the equipment in the nuclear power plant and collecting the operating parameters and status data of the equipment in real time.

[0049] Access layer: In this layer, the acquisition gateway and intelligent gateway are used to collect the data of the sensor in the perception layer. The devices in the access layer are responsible for converting the sensor data into a format suitable for network transmission and sending this data to the upper platform layer. This layer may also include preliminary processing of the data, such as filtering and aggregation.

[0050] Network layer: The network layer is composed of nuclear power software defined network (SDN), which provides the necessary network infrastructure to support the transmission of data between different layers. SDN network allows flexible control and optimization of network traffic to ensure efficient and reliable data transmission.

[0051] Platform layer: The platform layer includes an integrated operation platform and cloud IoT management software. This layer is responsible for centrally processing and analyzing data transmitted from the access layer, providing device management and resource management functions, and supporting the data needs of upper-layer applications.

[0052] Application layer: The application layer is the top layer of the entire system, which includes various applications such as intelligent identification, positioning, tracking, monitoring, management and industrial control. These applications use the data processed by the platform layer to realize specific business functions and user needs.

[0053] Figure 1 The layered architecture diagram shown embodies a complete process from data collection to data processing and then to data application in the embodiment of the present application, aiming to realize intelligent management and monitoring of nuclear power plants. Through this layered design, the nuclear power sensor data acquisition system in the embodiment of the present application can efficiently process a large amount of data and ensure the safe and stable operation of the nuclear power plant.

[0054] The workflow of the entire nuclear power sensor data acquisition system can be: First, various equipment sensors in the perception layer perceive and collect field data, and then transmit the collected data to the IoT gateway through the defined application protocol standard. The IoT gateway receives data from the perception layer and connects it to the integrated operation platform in the correct way and specification. In this process, the gateway is also responsible for data preprocessing and transmission standard conversion to ensure that the data can be smoothly transmitted to the platform layer. At the platform layer, various IoT data from the perception layer are gathered and shared with various application layers. In this way, from the perception layer to the application layer, the entire system forms a complete closed loop of data collection, processing and application, realizing the comprehensive utilization and intelligent management of nuclear power plant data.

[0055] According to the nuclear power sensor data acquisition method provided in the embodiment of the present application, which is applied to the nuclear power sensor data acquisition system provided in the embodiment of the present application, the nuclear power sensor data acquisition method includes: Step S201, in the perception layer, the sensing parameters of the nuclear power equipment are collected through the equipment sensors to obtain the nuclear power sensing parameters; Step S202: In the access layer, the nuclear power sensor parameters collected by the perception layer are received through the first data transmission interface, the transmission standard conversion processing is performed on the nuclear power sensor parameters, and the nuclear power sensor parameters after the transmission standard conversion processing are transferred and transmitted through the second data transmission interface; Step S203: In the platform layer, the nuclear power sensor parameters transferred by the second data transmission interface are received, and the nuclear power sensor parameters are scheduled for transmission.

[0056] The nuclear power sensor data acquisition method proposed in the embodiment of the present application is designed to improve the efficiency and accuracy of nuclear power plant data acquisition. The method covers the entire process from preliminary data acquisition to final transmission processing, ensuring smooth data transmission and effective use.

[0057] In step S201 of some embodiments, at the perception layer, key parameters of nuclear power equipment are monitored and collected in real time through deployed equipment sensors. These equipment sensors are specially designed to capture important data in the operation of nuclear power plants, such as temperature, pressure, flow, etc., which are collectively referred to as nuclear power sensing parameters. The deployment and selection of equipment sensors are based on the specific needs and monitoring objectives of the nuclear power plant to ensure that the required data can be collected comprehensively and accurately.

[0058] In step S202 of some embodiments, the collected nuclear power sensor parameters are processed through the access layer. In this step, the first data transmission interface is used to receive the raw data from the perception layer. Since different device sensors may use different data transmission standards, the access layer needs to perform transmission standard conversion processing on these data. This processing process includes converting the data into a unified format or protocol to facilitate subsequent transmission and processing. The processed data is transferred and transmitted through the second data transmission interface. This step ensures that the data can be smoothly transmitted from the perception layer to the higher-level platform layer.

[0059] In step S203 of some embodiments, at the platform layer, the nuclear power sensor data acquisition system receives the nuclear power sensor parameters transmitted through the access layer. The role of the platform layer is to further schedule and transmit the data to meet the needs of different application scenarios. This may include further processing and analyzing the data, or distributing the data to different application nuclear power sensor data acquisition systems. The scheduling and transmission function of the platform layer ensures that the data can be effectively used according to the operation and management requirements of the nuclear power plant.

[0060] In general, the nuclear power sensor data collection method provided in the embodiment of the present application realizes efficient data collection, standardized processing and accurate transmission through the collaborative work of the perception layer, access layer and platform layer. This method not only improves the efficiency of nuclear power plant data collection, but also enhances the flexibility and accuracy of data processing, providing strong support for the safe operation and intelligent management of nuclear power plants.

[0061] According to some embodiments of the present application, the device sensor includes a vibration device sensor, and in step S202, a transmission standard conversion process is performed on the nuclear power sensor parameter, and the nuclear power sensor parameter after the transmission standard conversion process is transferred and transmitted through the second data transmission interface, including: Step S301, in response to the nuclear power sensing parameters including high-frequency vibration data collected by the vibration equipment sensor, edge data processing is performed on the high-frequency vibration data; Step S302: Transmitting the high-frequency vibration data after edge data processing through the second data transmission interface.

[0062] In some embodiments of the present application, an application is provided for high-frequency vibration data collected by vibration equipment sensors, because vibration equipment sensors play an important role in monitoring the health status of nuclear power equipment and preventing potential failures. Vibration equipment sensors can collect high-frequency vibration data that reflects the operating status of equipment.

[0063] In the access layer, when the vibration equipment sensor collects high-frequency vibration data, these high-frequency vibration data will first be sent to the nuclear power Internet of Things gateway. It should be noted that edge data processing is a computing process performed near the data source or the data generation point. It can reduce the amount of data that needs to be transmitted, while speeding up data processing and improving response time.

[0064] In step S301 of some embodiments, it is necessary to perform real-time analysis and processing on the high-frequency vibration data, such as compression, noise reduction, feature extraction or format conversion on the high-frequency vibration data. These processing operations are intended to extract the most valuable information from the original high-frequency vibration data and convert it into a format suitable for further analysis and storage, thereby reducing the amount of data that needs to be transmitted.

[0065] In step S302 of some embodiments, the high-frequency vibration data after edge data processing is transferred and transmitted through the second data transmission interface. This step ensures that the high-frequency vibration data after edge data processing can be efficiently and accurately transmitted to the platform layer. At the platform layer, the high-frequency vibration data can be further analyzed and utilized to support monitoring, diagnosis and maintenance decisions of the nuclear power plant.

[0066] The embodiment of the present application shown by step S301 to step S302, by performing edge data processing at the access layer, not only improves the efficiency of data transmission, but also enhances the real-time processing capability of high-frequency vibration data. This method enables nuclear power plants to respond to potential equipment problems more quickly, thereby improving the operational safety and reliability of nuclear power plants. In addition, by reducing the amount of data transmitted to the platform layer, it helps to save network bandwidth and reduce the computing cost of data processing.

[0067] According to some embodiments of the present application, performing edge data processing on the high-frequency vibration data in step S301 includes: Step S401, filtering out noise from the high-frequency vibration data to obtain first edge processing data; Step S402: compress the first edge processed data to obtain high-frequency vibration data after edge data processing.

[0068] In some embodiments of the present application, edge data processing of high-frequency vibration data is a key step to improve the quality and availability of data while reducing the burden of data transmission. This process may include, but is not limited to, the following two main sub-steps: noise filtering and data compression.

[0069] In step S401 of some embodiments, noise filtering is performed on the collected high-frequency vibration data. Noise filtering is an important preprocessing step because the data actually collected often contains noise introduced by the device sensor itself, the data acquisition system or external environmental factors. If these noises are not processed, they may interfere with subsequent data analysis and lead to inaccurate results. By applying digital signal processing techniques, such as low-pass filters, band-pass filters or Kalman filters, noise components can be removed from the data and useful signals can be extracted. This process generates the first edge-processed data, that is, the denoised high-frequency vibration data.

[0070] In step S402 of some embodiments, the first edge-processed data is compressed to further reduce the size of the data. Data compression is another key step in edge data processing, which helps reduce storage requirements and network bandwidth usage, especially when processing large amounts of data or in bandwidth-constrained environments. The choice of compression algorithm depends on the characteristics of the data and application requirements, and lossless compression or lossy compression technology can be used. Lossless compression allows data to be fully restored after compression and decompression, while lossy compression may sacrifice some data accuracy while reducing the size of the data. The compressed data is the high-frequency vibration data after edge data processing, and they are ready to be transmitted to a higher-level system for further analysis and application.

[0071] Through the edge data processing method of step S401 to step S402, the high-frequency vibration data becomes clearer and more compact, thereby improving the data transmission efficiency and the accuracy of subsequent processing. This method not only optimizes the data flow, but also enhances the system's ability to monitor equipment status and diagnose faults, which is crucial to ensuring the safe and efficient operation of nuclear power plants.

[0072] According to some embodiments of the present application, performing edge data processing on the high-frequency vibration data in step S301 includes: Step S501, extracting features from high-frequency vibration data using a pre-trained vibration data processing model to obtain second edge processing data; Step S502: determining the second edge processed data as high-frequency vibration data after edge data processing.

[0073] In some embodiments of the present application, the edge data processing in step S301 adopts a more advanced processing method for high-frequency vibration data, which focuses on extracting key features from the data using a pre-trained vibration data processing model. This method embodies the application of machine learning and artificial intelligence technology in industrial data processing, aiming to identify the most critical information for equipment status monitoring and fault diagnosis from complex vibration signals.

[0074] In step S501 of some embodiments, feature extraction is performed on high-frequency vibration data through a pre-trained vibration data processing model. This pre-trained vibration data processing model is pre-trained based on historical data and known equipment status, and can identify specific patterns and features in high-frequency vibration data that are closely related to the health status of the equipment. These features may include frequency components, amplitude changes, trends, and mutations of vibration signals. Through analysis of the vibration data processing model, these representative features can be extracted from the original high-frequency vibration data to form second edge-processed data. The purpose of this step is to convert a large amount of raw data into smaller but information-rich feature data for subsequent processing and analysis.

[0075] In step S502 of some embodiments, these extracted features, i.e., second edge-processed data, are further determined as high-frequency vibration data after edge data processing. It should be noted that these second edge-processed data not only contain key information in the original signal, but also are more suitable for real-time monitoring and remote analysis due to their small size and high information density. Such data processing method not only improves the efficiency of data processing, but also enhances the real-time monitoring capability of equipment status, helps to timely detect potential faults and anomalies, so as to take preventive maintenance measures to ensure the safe and stable operation of nuclear power plants.

[0076] Through the edge data processing method from step S501 to step S502, the availability and analysis efficiency of high-frequency vibration data are effectively improved through feature extraction and data reduction.

[0077] According to some embodiments of the present application, feature extraction is performed on high-frequency vibration data through a pre-trained vibration data processing model to obtain second edge processing data, including: Segmenting the high-frequency vibration data to obtain vibration sub-data corresponding to each sampling time period; The vibration sub-data of each sampling time period is input into the vibration data processing model for feature extraction to obtain the second edge processing data.

[0078] In some embodiments of the present application, the process of extracting features from high-frequency vibration data is implemented by using a pre-trained vibration data processing model. This process includes two main steps: data segmentation and feature extraction.

[0079] First, the data is segmented. Since high-frequency vibration data are usually collected continuously, in order to analyze and process these data more efficiently, they need to be segmented into vibration sub-data corresponding to each sampling time period. The purpose of this step is to decompose long time series data into smaller, manageable data blocks, each of which contains vibration data collected in a specific time period. Doing so can not only reduce computational complexity, but also capture the changing characteristics of vibration signals in different time periods, which is particularly important for identifying and analyzing transient behavior and short-term dynamic characteristics of equipment.

[0080] Next, these segmented vibration sub-data are input into the pre-trained vibration data processing model for feature extraction. This vibration data processing model can be trained based on historical data and known equipment status, and it can identify specific patterns and features in the vibration data that are closely related to the health status of the equipment. During the feature extraction process, the vibration data processing model can analyze each vibration sub-data, extract key information such as frequency components, amplitude changes, trends, mutations, etc., and convert this information into a set of features, namely the so-called second edge processing data. It should be pointed out that the obtained second edge processing data is an advanced representation of the original high-frequency vibration data, which reflects the vibration characteristics of the equipment in a more compact and information-intensive form. These data can be used for a variety of applications such as real-time monitoring, health assessment, fault diagnosis and predictive maintenance of equipment. In this way, not only can the efficiency of data processing be improved, but also the real-time monitoring capability of equipment status can be enhanced, thereby providing strong support for the operation, maintenance and safety management of equipment.

[0081] In general, the method of extracting features from high-frequency vibration data through a pre-trained vibration data processing model improves the accuracy and real-time performance of data processing.

[0082] According to some embodiments of the present application, the vibration sub-data of each sampling time period is input into the vibration data processing model for feature extraction to obtain the second edge processing data, including: In the vibration data processing model, time domain features are extracted for the vibration sub-data in each sampling time period to obtain time domain vibration features; In the vibration data processing model, frequency domain feature extraction is performed on the vibration sub-data of each sampling time period to obtain frequency domain vibration features; In the vibration data processing model, feature extraction is performed on the complex patterns and nonlinear relationships of the vibration sub-data in each sampling period to obtain composite vibration features; The time domain vibration features, the frequency domain vibration features and the composite vibration features are fused to obtain the second edge processing data.

[0083] In some embodiments of the present application, the feature extraction process is completed by a vibration data processing model, which can extract multi-dimensional features from the vibration sub-data of each sampling time period to form a comprehensive description of the device state. This process involves multiple steps, first the extraction of time domain features, then the extraction of frequency domain features, then the extraction of composite vibration features, and finally feature fusion.

[0084] In the time domain feature extraction step, the model analyzes the original form of the vibration sub-data and extracts features directly from the time series. These features may include statistics such as peak value, mean, variance, skewness, kurtosis, etc. of the vibration, which can reflect the amplitude and time distribution characteristics of the vibration signal. Time domain analysis is very effective in capturing the instantaneous characteristics of the signal, especially for those non-periodic or transient vibration events.

[0085] Next is the frequency domain feature extraction step, where the model converts the oscillator data into the frequency domain to analyze its frequency components. Through Fourier transform or other frequency domain analysis methods, the power spectrum density, main frequency components, spectrum energy distribution, etc. of the signal can be obtained. Frequency domain features help identify possible periodic failure modes of equipment, such as bearing damage, gear meshing problems, etc., which usually produce characteristic peaks at specific frequencies.

[0086] In the composite vibration feature extraction step, the model further analyzes the complex patterns and nonlinear relationships in the vibration data. This may involve the use of high-order statistics, time-frequency analysis methods such as wavelet transforms, or complex pattern recognition techniques based on machine learning. Composite vibration features can reveal deep information in the data, such as modulation phenomena, frequency drift, etc., which are crucial for diagnosing complex equipment failures.

[0087] Finally, in the feature fusion step, the extracted time domain vibration features, frequency domain vibration features and composite vibration features are combined to obtain a comprehensive feature set, namely the second edge processing data. Fusion can be a simple feature concatenation, a weighted fusion based on a certain strategy, or a group fusion through a clustering algorithm. The purpose of fusion is to integrate the information in different features to improve the expressiveness of the features and the accuracy of diagnosis.

[0088] Through this series of feature extraction and fusion steps, the second edge processing data obtained can provide a comprehensive and in-depth perspective on the health status of the equipment, thereby providing strong data support for predictive maintenance and fault diagnosis of the equipment. This method is particularly suitable for application scenarios that have extremely high requirements for equipment reliability and safety, such as equipment monitoring in nuclear power plants.

[0089] According to some embodiments of the present application, the time domain vibration feature, the frequency domain vibration feature and the composite vibration feature are fused to obtain the second edge processing data, including: Preprocessing is performed on the time domain vibration features, frequency domain vibration features and composite vibration features respectively; Determine the preprocessed time-domain vibration features as time-domain elements, determine the preprocessed frequency-domain vibration features as frequency-domain elements, and determine the preprocessed composite vibration features as composite elements; configuring a first weight for the time domain element, configuring a second weight for the frequency domain element, and configuring a third weight for the composite element; The second edge processing data is obtained by performing weighted fusion according to the time domain element and the corresponding first weight, the frequency domain element and the corresponding second weight, and the third weight corresponding to the composite element.

[0090] In some embodiments of the present application, the feature fusion process is implemented through a series of detailed steps, which ensure that the information extracted from the time domain vibration features, frequency domain vibration features and composite vibration features can be effectively integrated to form the second edge processing data. This process begins with preprocessing these different types of features to prepare them for subsequent fusion.

[0091] First, the time domain vibration features, frequency domain vibration features, and composite vibration features are preprocessed separately. The preprocessing steps can include normalization to eliminate the impact of dimensions between different features; denoising to reduce the interference of irrelevant information; and missing value processing to fill in the gaps in the data. These steps are crucial to ensure that the features are consistent and comparable before fusion.

[0092] In some specific embodiments of the present application, the time domain vibration features, frequency domain vibration features and composite vibration features are preprocessed to provide an accurate and consistent data basis for feature fusion and subsequent analysis. The preprocessing process includes three main steps: normalization, noise removal and missing value filling.

[0093] First, normalization is performed. The purpose of this step is to adjust the numerical range of all features to a unified standard, usually between 0 and 1, or between -1 and 1. This can eliminate data inconsistencies caused by different dimensions or numerical ranges between different features, making the features comparable, and also facilitate subsequent data processing and analysis, especially when using distance-based algorithms such as clustering and principal component analysis (PCA).

[0094] Secondly, noise removal is performed. During the collection process, vibration data may be interfered by various noises, which may come from the accuracy limitations of the measurement equipment, interference from environmental factors, or errors in the data transmission process. By applying filters, such as low-pass filters, band-pass filters, or wavelet transforms, the impact of noise can be effectively removed or reduced, thereby improving the signal-to-noise ratio of the data and making the features more accurately reflect the true state of the equipment.

[0095] Finally, missing values ​​are filled. In practical applications, vibration data may contain missing values ​​due to failure of the measuring equipment, loss of data transmission, or incompleteness of the signal itself. There are many ways to handle missing values, including filling them using the mean, median, interpolation methods, or machine learning-based methods. Choosing the right method is crucial to maintaining the integrity and accuracy of the data.

[0096] After the above preprocessing steps, the preprocessed time domain vibration features, preprocessed frequency domain vibration features, and preprocessed composite vibration features will provide a more accurate and reliable data basis for subsequent feature fusion and analysis. These preprocessed features will be more suitable for advanced analysis, such as pattern recognition, machine learning modeling, and fault diagnosis, thereby providing strong data support for equipment status monitoring and health management.

[0097] After the preprocessing is completed, the preprocessed time domain vibration features are determined as time domain elements, the preprocessed frequency domain vibration features are determined as frequency domain elements, and the preprocessed composite vibration features are determined as composite elements. Such classification helps to distinguish and process features from different sources during the fusion process.

[0098] Next, in order to give different features different importance in the fusion process, a first weight is configured for the time domain element, a second weight is configured for the frequency domain element, and a third weight is configured for the composite element. The configuration of the weight can be based on expert knowledge, statistical analysis, or the evaluation results of the machine learning model to determine the contribution of each element to the overall data analysis.

[0099] Finally, a weighted fusion step is performed, that is, weighted fusion is performed according to the time domain element and the corresponding first weight, the frequency domain element and the corresponding second weight, and the third weight corresponding to the composite element. This step involves multiplying each element with its corresponding weight, and then merging all weighted elements to form the final second edge processing data. The purpose of weighted fusion is to ensure that more important features have a greater influence in the final data representation.

[0100] Through this series of carefully designed feature preprocessing, classification, weight configuration and weighted fusion steps, the second edge processed data can fully reflect the key information of the original high-frequency vibration data, while improving the data analyzability and diagnostic accuracy. This method is particularly suitable for application scenarios that require the extraction of comprehensive information from multi-source data, such as condition monitoring, fault diagnosis and predictive maintenance of nuclear power equipment.

[0101] According to the configuration method for the nuclear power sensor data acquisition system provided in the embodiment of the present application, it is applied to configure the nuclear power sensor data acquisition system provided in the embodiment of the present application, including: Step S601, configuring a plurality of corresponding equipment sensors for different types of nuclear power equipment; wherein the equipment sensors are used to collect nuclear power sensor parameters; Step S602, for multiple device sensors, determining a first transmission standard that matches the sensor type according to each device sensor of the same sensor type, and setting a data collection chain based on the first transmission standard; Step S603, configuring the perception layer of the nuclear power sensor data acquisition system based on the data acquisition chain; Step S604, configuring the platform layer of the nuclear power sensor data acquisition system based on the preset second transmission standard; Step S605, based on the first transmission standard corresponding to the data acquisition chain and the second transmission standard corresponding to the platform layer, the access layer of the nuclear power sensor data acquisition system is configured with a nuclear power Internet of Things gateway.

[0102] The configuration method of the nuclear power sensor data acquisition system provided in the embodiment of the present application is intended to ensure effective monitoring of various equipment in a nuclear power plant and efficient data collection. This configuration process involves detailed configuration of each level of the nuclear power sensor data acquisition system to achieve standardization and optimization of data collection.

[0103] In step S601 of some embodiments, multiple corresponding equipment sensors are configured for different types of nuclear power equipment in a nuclear power plant. These equipment sensors are the basis of the data acquisition system, and they are responsible for real-time monitoring and acquisition of various nuclear power sensor parameters, such as temperature, pressure, flow and other key operating data.

[0104] In step S602 of some embodiments, a first transmission standard matching the device sensor is determined according to the sensing type of the device sensor. This means that for device sensors of the same sensing type, a unified data transmission protocol and standard will be adopted so that data can be collected and transmitted in a consistent manner. Then, a data collection chain is configured based on this transmission standard. The data collection chain is the link between the device sensor and the data transmission network, and its configuration directly affects the efficiency and stability of data collection.

[0105] In step S603 of some embodiments, the perception layer is configured based on the configured data acquisition chain. The perception layer is the front end of the entire data acquisition system and is responsible for collecting data from equipment sensors. By properly configuring the perception layer, the effective operation of the data acquisition chain can be ensured, thereby achieving accurate monitoring of the status of nuclear power equipment.

[0106] In step S604 of some embodiments, the configuration of the platform layer is based on a preset second transmission standard. The platform layer is the core of the data acquisition system and is responsible for processing and analyzing data transmitted from the perception layer. By configuring the second transmission standard, efficient processing and flow of data at the platform layer can be ensured, providing support for subsequent applications and decisions.

[0107] In step S605 of some embodiments, the access layer is configured, especially the configuration of the nuclear power Internet of Things gateway. The access layer is the intermediate link connecting the perception layer and the platform layer, and is responsible for the transfer and transmission of data. The configuration of the Internet of Things gateway needs to consider the first transmission standard of the perception layer and the second transmission standard of the platform layer at the same time to ensure that data can be seamlessly transmitted between different levels. By reasonably configuring the Internet of Things gateway, the efficiency and reliability of data transmission can be improved, ensuring the performance of the entire data acquisition system.

[0108] Through the steps S601 to S605 of the present application, it is shown that the configuration method provided by the embodiment ensures the efficient operation of the nuclear power sensor data acquisition system by carefully configuring the equipment sensors, data transmission standards and configurations at each level. This method not only improves the accuracy and real-time performance of data acquisition, but also enhances the reliability and stability of the nuclear power sensor data acquisition system, providing a strong guarantee for the safe operation of nuclear power plants.

[0109] According to some embodiments of the present application, the nuclear power Internet of Things gateway includes a first data transmission interface and a second data transmission interface. Step S605 configures the nuclear power Internet of Things gateway for the access layer of the nuclear power sensor data acquisition system based on the first transmission standard corresponding to the data acquisition chain and the second transmission standard corresponding to the platform layer, including: Step S701, configuring a first data transmission interface between a nuclear power Internet of Things gateway and a perception layer in a nuclear power sensor data acquisition system according to a first transmission standard corresponding to each data acquisition chain; Step S702: Based on the second transmission standard preset by the platform layer, a second data transmission interface between the nuclear power Internet of Things gateway and the platform layer in the nuclear power sensor data acquisition system is configured.

[0110] In some embodiments of the present application, the nuclear power IoT gateway is a key device that connects the perception layer and the platform layer. It realizes effective communication with these two layers by configuring different data transmission interfaces. This configuration process ensures that data can be transmitted efficiently and accurately in the nuclear power sensor data acquisition system.

[0111] In step S701 of some embodiments, the first data transmission interface between the nuclear power Internet of Things gateway and the perception layer is configured according to the first transmission standard corresponding to each data acquisition chain. The purpose of this step is to ensure that the nuclear power sensor parameters collected from the perception layer can be transmitted to the access layer in the correct format and protocol. Since the perception layer may contain multiple types of equipment sensors, each equipment sensor may use different data transmission standards. Therefore, the first data transmission interface needs to be able to adapt to these different standards. This requires the first data transmission interface to be configured according to the first transmission standard to support a specific communication protocol, data format or encoding method. In this way, the nuclear power Internet of Things gateway can be seamlessly connected with various equipment sensors to achieve effective data collection.

[0112] In step S702 of some embodiments, a second data transmission interface between the nuclear power Internet of Things gateway and the platform layer is configured based on a second transmission standard preset by the platform layer. The purpose of this step is to ensure that the data processed by the access layer can be transmitted to the platform layer in an appropriate format and protocol. The platform layer is responsible for further processing and analysis of the data, so the second data transmission interface needs to support the data transmission standards required by the platform layer. This may include configuring the interface to support high-speed data transmission, data encryption, or specific network protocols. In this way, the nuclear power Internet of Things gateway can ensure smooth transmission of data between the access layer and the platform layer, and provide support for further processing and application of data.

[0113] Through the configuration of these two steps, the nuclear power IoT gateway can achieve effective connection with the perception layer and platform layer, ensuring efficient transmission of data in the entire nuclear power sensor data acquisition system. This configuration method not only improves the efficiency and accuracy of data transmission, but also enhances the flexibility and scalability of the system, allowing the system to adapt to different sensor types and data transmission requirements. This is of great significance for ensuring the safe operation of nuclear power plants and optimizing maintenance strategies.

[0114] According to some embodiments of the present application, the number of sensor types corresponding to the device sensor is a first number, and configuring a nuclear power Internet of Things gateway for the access layer of the nuclear power sensor data acquisition system in step S605 may also include: Step S801, determining the address space corresponding to the nuclear power Internet of Things gateway; Step S802, dividing the address space to obtain a first number of address subspaces; wherein each address subspace corresponds to a sensor type; Step S803: performing address mapping configuration on the nuclear power Internet of Things gateway according to the first number of address subspaces.

[0115] In some embodiments of the present application, in order to further improve the efficiency and accuracy of the nuclear power IoT gateway in processing data from different sensor types, a more specific configuration method is implemented. This method includes not only the configuration of the data transmission interface, but also the management of the internal address space of the IoT gateway.

[0116] In step S801 of some embodiments, the address space corresponding to the nuclear power Internet of Things gateway is determined. The address space refers to the memory area that the Internet of Things gateway can use for data storage and processing. This step is crucial because it involves the planning and management of internal resources of the Internet of Things gateway. By determining the address space, the necessary basis can be provided for subsequent data transmission and processing.

[0117] In step S802 of some embodiments, the determined address space is divided to obtain a first number of address subspaces equal to the number of sensor types. The purpose of this step is to achieve effective management and isolation of data of different sensor types. Each address subspace specifically corresponds to a sensor type, ensuring that data of the same type can be processed centrally, thereby improving the efficiency and accuracy of data processing. This division also helps to simplify the data routing and retrieval process, because each sensor type of data is stored in a specific address subspace.

[0118] In step S803 of some embodiments, address mapping configuration is performed on the nuclear power Internet of Things gateway according to the first number of address subspaces. Address mapping configuration refers to the process of associating a data source (such as a device sensor) with a specific address subspace inside the Internet of Things gateway. This step ensures that the nuclear power sensor parameters transmitted from a specific device sensor can be correctly routed to a predetermined address subspace, thereby achieving effective management and processing of data. In this way, the Internet of Things gateway can process data from different sensors more efficiently, improving the performance of the entire nuclear power sensor data acquisition system.

[0119] Through the embodiment of the present application shown in step S801 to step S803, by carefully planning and managing the address space of the nuclear power Internet of Things gateway, the embodiment of the present application can ensure that data of different sensor types are effectively processed and transmitted. This method not only improves the efficiency of data management, but also enhances the reliability and stability of the system, which is of great significance to the safe operation and optimized maintenance of nuclear power plants.

[0120] An electronic device according to another embodiment includes: The processor 1301 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application; The memory 1302 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory, and the processor 901 calls and executes the nuclear power sensor data acquisition method of the embodiment of this application; Input / output interface 1303, used to implement information input and output; The communication interface 1304 is used to realize the communication interaction between the device and other devices. The communication can be realized through a wired manner (such as USB, network cable, etc.) or a wireless manner (such as mobile network, WIFI, Bluetooth, etc.); Bus 1305, which transmits information between the various components of the device (e.g., processor, memory, input / output interface, and communication interface); The processor, memory, input / output interface and communication interface are connected to each other through a bus inside the device.

[0121] The embodiment of the present application also provides a computer program product, which includes a computer program. The processor of the computer device reads and executes the computer program, so that the computer device executes and implements the above-mentioned nuclear power sensor data acquisition method.

[0122] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can, for example, be implemented in an order other than those illustrated or described herein. In addition, the terms "comprises" and "comprising" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0123] It should be understood that in the present disclosure, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0124] It should be understood that in the description of the embodiments of the present application, the meaning of multiple (or multiple items) is more than two, greater than, less than, exceed, etc. are understood to not include the number, and above, below, within, etc. are understood to include the number.

[0125] In the several embodiments provided in the present disclosure, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0126] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0127] In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0128] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present disclosure is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present disclosure. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store program codes.

[0129] It should also be understood that the various implementations provided in the embodiments of the present application can be combined arbitrarily to achieve different technical effects.

[0130] The above is a specific description of the implementation methods of the present disclosure, but the present disclosure is not limited to the above implementation methods. Technical personnel familiar with the art can also make various equivalent modifications or substitutions without violating the spirit of the present disclosure. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present disclosure.

Claims

1. A nuclear power sensor data acquisition system, characterized in that: include: A perception layer, wherein the perception layer includes a plurality of data acquisition chains, each of which is provided with a device sensor for collecting nuclear power sensor parameters of nuclear power equipment, the first transmission standard adopted by each of the device sensors in each of the data acquisition chains is the same, and the nuclear power sensor parameters collected by each of the data acquisition chains belong to the same sensor type; The access layer includes a nuclear power Internet of Things gateway, which is configured with multiple first data transmission interfaces supporting a first transmission standard and multiple second data transmission interfaces supporting a second transmission standard; wherein the nuclear power Internet of Things gateway is used to receive the nuclear power sensor parameters collected by the perception layer through the first data transmission interface, perform transmission standard conversion processing on the nuclear power sensor parameters, and transfer and transmit the nuclear power sensor parameters after the transmission standard conversion processing through the second data transmission interface; The platform layer is used to use the second data transmission interface to receive the nuclear power sensor parameters transmitted by the access layer, and schedule the transmission of the nuclear power sensor parameters.

2. A method for collecting nuclear power sensor data, characterized in that: Applied to the nuclear power sensor data acquisition system of claim 1, the method comprises: In the perception layer, the sensing parameters of nuclear power equipment are collected through equipment sensors to obtain nuclear power sensing parameters; In the access layer, the nuclear power sensor parameters collected by the perception layer are received through the first data transmission interface, the transmission standard conversion processing is performed on the nuclear power sensor parameters, and the nuclear power sensor parameters after the transmission standard conversion processing are transferred and transmitted through the second data transmission interface; In the platform layer, the second data transmission interface is used to receive the nuclear power sensor parameters transmitted from the access layer, and the nuclear power sensor parameters are scheduled for transmission.

3. The nuclear power sensor data acquisition method according to claim 2, characterized in that: The device sensor includes a vibration device sensor, and the transmission standard conversion processing is performed on the nuclear power sensor parameter, and the nuclear power sensor parameter after the transmission standard conversion processing is transferred and transmitted through the second data transmission interface, including: In response to the nuclear power sensing parameters including high-frequency vibration data collected by the vibration equipment sensor, edge data processing is performed on the high-frequency vibration data; The high-frequency vibration data after edge data processing is transferred and transmitted through the second data transmission interface.

4. The nuclear power sensor data acquisition method according to claim 3, characterized in that: The performing edge data processing on the high-frequency vibration data comprises: Performing noise filtering on the high-frequency vibration data to obtain first edge processing data; The first edge processed data is compressed to obtain the high-frequency vibration data after edge data processing.

5. The nuclear power sensor data acquisition method according to claim 4, characterized in that: The performing edge data processing on the high-frequency vibration data comprises: Extracting features from the high-frequency vibration data using a pre-trained vibration data processing model to obtain second edge processing data; The second edge processed data is determined as the high-frequency vibration data after edge data processing.

6. The nuclear power sensor data acquisition method according to claim 5, characterized in that: The extracting features of the high-frequency vibration data by using a pre-trained vibration data processing model to obtain second edge processing data includes: Segmenting the high-frequency vibration data to obtain vibration sub-data corresponding to each sampling time period; The vibration sub-data of each sampling time period is input into the vibration data processing model for feature extraction to obtain the second edge processing data.

7. The nuclear power sensor data acquisition method according to claim 6, characterized in that: The step of inputting the vibration sub-data of each sampling time period into the vibration data processing model for feature extraction to obtain the second edge processing data includes: In the vibration data processing model, time domain feature extraction is performed on the vibration sub-data in each sampling time period to obtain time domain vibration features; In the vibration data processing model, frequency domain feature extraction is performed on the vibration sub-data in each sampling time period to obtain frequency domain vibration features; In the vibration data processing model, feature extraction is performed on the complex patterns and nonlinear relationships of the vibration sub-data in each sampling time period to obtain composite vibration features; The time domain vibration feature, the frequency domain vibration feature and the composite vibration feature are subjected to feature fusion to obtain the second edge processing data.

8. The nuclear power sensor data acquisition method according to claim 7, characterized in that: The step of fusing the time domain vibration feature, the frequency domain vibration feature, and the composite vibration feature to obtain the second edge processing data includes: Preprocessing the time domain vibration feature, the frequency domain vibration feature and the composite vibration feature respectively; Determine the preprocessed time-domain vibration features as time-domain elements, determine the preprocessed frequency-domain vibration features as frequency-domain elements, and determine the preprocessed composite vibration features as composite elements; configuring a first weight for the time domain element, configuring a second weight for the frequency domain element, and configuring a third weight for the composite element; The second edge processing data is obtained by performing weighted fusion according to the time domain element and the corresponding first weight, the frequency domain element and the corresponding second weight, and the third weight corresponding to the composite element.

9. The nuclear power sensor data acquisition method according to claim 8, characterized in that: The preprocessing of the time domain vibration feature, the frequency domain vibration feature and the composite vibration feature respectively includes: The time domain vibration feature, the frequency domain vibration feature and the composite vibration feature are subjected to normalization processing, noise removal processing and missing value filling processing in sequence to obtain the preprocessed time domain vibration feature, the preprocessed frequency domain vibration feature and the preprocessed composite vibration feature.

10. The nuclear power sensor data acquisition method according to claim 2, characterized in that: The second data transmission interface is provided with an auxiliary transmission channel, and the second data transmission interface is used to receive the nuclear power sensor parameter transmitted by the access layer, and the nuclear power sensor parameter is scheduled for transmission, including: Determine a large data block having a data size greater than a preset transmission size from a plurality of the nuclear power sensing parameters; Invoking the auxiliary transmission channel to receive the large data block transferred from the access layer; The large data block is scheduled for transmission.

11. A configuration method for a nuclear power sensor data acquisition system, characterized in that: Applicable to configuring the nuclear power sensor data acquisition system according to claim 1, comprising: Multiple corresponding equipment sensors are configured for different types of nuclear power equipment; wherein the equipment sensors are used to collect nuclear power sensing parameters; For the plurality of device sensors, determining a first transmission standard matching the sensing type according to each of the device sensors of the same sensing type, and setting a data acquisition chain based on the first transmission standard; Configuring the perception layer of the nuclear power sensor data acquisition system based on the data acquisition chain; Based on a preset second transmission standard, configuring the platform layer of the nuclear power sensor data acquisition system; Based on the first transmission standard corresponding to the data acquisition chain and the second transmission standard corresponding to the platform layer, a nuclear power Internet of Things gateway is configured on the access layer of the nuclear power sensor data acquisition system.

12. The configuration method for a nuclear power sensor data acquisition system according to claim 11, characterized in that: The nuclear power Internet of Things gateway comprises a first data transmission interface and a second data transmission interface, and the configuration of the nuclear power Internet of Things gateway for the access layer of the nuclear power sensor data acquisition system based on the first transmission standard corresponding to the data acquisition chain and the second transmission standard corresponding to the platform layer comprises: According to the first transmission standard corresponding to each of the data acquisition chains, configuring the first data transmission interface between the nuclear power Internet of Things gateway and the perception layer in the nuclear power sensor data acquisition system; Based on the second transmission standard preset by the platform layer, the second data transmission interface between the nuclear power Internet of Things gateway and the platform layer in the nuclear power sensor data acquisition system is configured.

13. The configuration method for a nuclear power sensor data acquisition system according to claim 11 or 12, characterized in that: The number of sensor types corresponding to the device sensor is a first number, and configuring a nuclear power Internet of Things gateway for the access layer of the nuclear power sensor data acquisition system also includes: Determine the address space corresponding to the nuclear power Internet of Things gateway; Performing division processing on the address space to obtain a first number of address subspaces; wherein each of the address subspaces corresponds to a sensor type; According to the first number of address subspaces, address mapping is configured for the nuclear power Internet of Things gateway.

14. An electronic device, characterized in that: include: A memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the nuclear power sensor data acquisition method as described in any one of claims 2 to 10, or the configuration method for the nuclear power sensor data acquisition system as described in any one of claims 11 to 13.

15. A computer-readable storage medium, characterized in that: The storage medium stores a program, and the program is executed by a processor to implement the nuclear power sensor data acquisition method as described in any one of claims 2 to 10, or the configuration method for a nuclear power sensor data acquisition system as described in any one of claims 11 to 13.

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