Wireless monitoring system and monitoring method for nuclear power station equipment

Abstract

The invention provides a wireless monitoring system and method for nuclear power station equipment, and the system comprises a collection device which is used for collecting different working parameters in the operation process of the nuclear power station equipment in real time, and carrying out the data processing of the different working parameters, and obtaining the preprocessing data; the data acquisition box is used for receiving and encrypting the preprocessed data; the central data server is used for receiving and decrypting the encrypted preprocessed data; and the monitoring management platform is used for analyzing and displaying the preprocessed data after decryption processing. The method has comprehensive, systematic and efficient operation monitoring efficiency.

Description

Technical Field

[0001] The present invention relates to the field of detection of nuclear power equipment, and particularly to a wireless monitoring system and monitoring method for nuclear power plant equipment. Background Art

[0002] The stability of nuclear power plant equipment is crucial for ensuring energy security and environmental protection. In the prior art, the monitoring of nuclear power plant equipment relies on the monitoring of single parameters, such as temperature, pressure, vibration and other parameters. Although it can reveal the specific state of the equipment to a certain extent, there are also certain limitations. For example, the monitoring of single parameters can only reflect the local state of the operation of nuclear power plant equipment, and cannot comprehensively describe the overall operation characteristics of nuclear power plant equipment, ignoring the correlation between parameters. Therefore, there is room for improvement. Summary of the Invention

[0003] In view of the above-mentioned disadvantages of the prior art, the purpose of the present invention is to provide a wireless monitoring system and monitoring method for nuclear power plant equipment, which is used to solve the problem that the overall operation characteristics of nuclear power plant equipment cannot be comprehensively described in the prior art.

[0004] To achieve the above object and other related objects, the present invention provides a wireless monitoring system for nuclear power plant equipment, including:

[0005] An acquisition device, configured to collect different working parameters during the operation of nuclear power plant equipment in real time, and perform data processing on the different working parameters to obtain preprocessed data;

[0006] A data acquisition box, configured to receive and perform encryption processing on the preprocessed data;

[0007] A central data server, configured to receive and perform decryption processing on the preprocessed data after encryption processing;

[0008] A monitoring and management platform, configured to analyze and display the preprocessed data after decryption processing.

[0009] In an embodiment of the present invention, the acquisition device includes a sensor module and a micro-control module. The sensor module collects different working parameters during the operation of nuclear power plant equipment in real time. The micro-control module includes:

[0010] A comparison unit, configured to divide different working parameters into normal data and abnormal data;

[0011] A sending unit, configured to combine the normal data and the abnormal data to form preprocessed data, and perform sending processing on the preprocessed data.

[0012] In one embodiment of the present invention, the comparison unit is configured to compare different operating parameters with their corresponding standard ranges, record the operating parameters within the corresponding standard range as normal data, and record the operating parameters exceeding the corresponding standard range as abnormal data.

[0013] In one embodiment of the present invention, the micro - control module further includes:

[0014] A timing unit for setting a timing period;

[0015] A calculation unit for calculating the root - mean - square value of the operating parameters of the same type within their timing periods among different operating parameters; wherein, different operating parameters of the nuclear power plant equipment correspond to different timing periods;

[0016] Wherein, the comparison unit is configured to compare the root - mean - square value with the corresponding preset threshold range, record the operating parameters corresponding to the root - mean - square value within the threshold range as normal data, and record the operating parameters corresponding to the root - mean - square value exceeding the threshold range as abnormal data.

[0017] In one embodiment of the present invention, the monitoring and management platform includes an alarm unit, and the alarm unit is used to generate alarm information for the abnormal data to perform maintenance processing on the nuclear power plant equipment; wherein, one piece of abnormal data corresponds to generating one piece of alarm information.

[0018] In one embodiment of the present invention, the monitoring and management platform is further used to judge the health status of the corresponding nuclear power plant equipment based on the quantity of the alarm information:

[0019] When the quantity of the alarm information is less than or equal to the first threshold quantity, it is judged that the nuclear power plant equipment is in a normal state;

[0020] When the quantity of the alarm information is greater than the first threshold quantity and less than or equal to the second threshold quantity, it is judged that the nuclear power plant equipment is in a warning state and feedback is given to the operation and maintenance personnel;

[0021] When the quantity of the alarm information is greater than the second threshold quantity, it is judged that the nuclear power plant equipment is in an alarm state, and a preset emergency plan is automatically started.

[0022] In one embodiment of the present invention, the sensor module is at least one of a temperature sensor, an image sensor, an acoustic sensor, a vibration sensor, and a flow sensor.

[0023] In one embodiment of the present invention, the temperature sensor is arranged at the positions of the motor windings of the nuclear power plant equipment and the cooling system pipelines;

[0024] The pressure sensor is disposed at the positions of the steam pipelines and hydraulic systems of the nuclear power plant equipment;

[0025] The vibration sensor is disposed at the positions of the bearings, rotors, and pipelines of the nuclear power plant equipment;

[0026] The flow sensor is disposed at the positions of the coolant and fuel of the nuclear power plant equipment;

[0027] The acoustic sensor is disposed at the positions of the motor rotors and bearings of the nuclear power plant equipment.

[0028] In an embodiment of the present invention, communication between the acquisition device and the data acquisition box is performed by one or several of 4G, 5G, Lora, and NB-IoT.

[0029] The present invention also provides a wireless monitoring method for nuclear power plant equipment, including:

[0030] Through the acquisition device, different working parameters during the operation of the nuclear power plant equipment are collected in real time, and data processing is performed on the different working parameters to obtain preprocessed data;

[0031] Through the data acquisition box, the preprocessed data is received and encrypted;

[0032] Through the central data server, the preprocessed data after encryption is received and decrypted;

[0033] Through the monitoring management platform, the preprocessed data after decryption is analyzed and displayed.

[0034] As described above, the wireless monitoring system and method for nuclear power plant equipment of the present invention have comprehensive, systematic, and efficient operation monitoring efficiency, and also have significant industrial application value and promotion prospects. Description of the Drawings

[0035] Figure 1 It is a structural block diagram of a wireless monitoring system for nuclear power plant equipment provided by an embodiment of the present invention.

[0036] Figure 2 It is a flow schematic diagram of a wireless monitoring method for nuclear power plant equipment provided by an embodiment of the present invention. Detailed Embodiments

[0037] The following describes the embodiments of the present invention through specific examples. Those skilled in the art can easily understand the other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0038] It should be noted that the diagrams provided in the following embodiments only illustrate the basic concept of the present invention in a schematic manner. Therefore, only the components related to the present invention are shown in the diagrams, rather than being drawn according to the number, shape, and size of the components in actual implementation. The type, quantity, and ratio of each component in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0039] In the following description, a large number of details are explored to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0040] Please refer to Figure 1 、 Figure 2 , the present invention proposes a wireless monitoring system and a monitoring method for nuclear power plant equipment, which can be applied to the forefront application fields of Internet of Things detection and intelligent operation and maintenance, such as the field of nuclear power plant equipment monitoring and diagnosis. Through the integration of advanced sensor technology, wireless communication technology, and artificial intelligence algorithms, this application can achieve multi-dimensional parameter synchronous wireless monitoring of nuclear power plant equipment, thereby constructing an efficient and comprehensive equipment monitoring and health management system.

[0041] Please refer to Figure 1 , in an embodiment of the present invention, the wireless monitoring system for nuclear power plant equipment may include a collection module 10, a data collection box 20, a central data server 30, and a monitoring and management platform 40.

[0042] Specifically, the collection module 10 can be set on one side or inside the nuclear power plant equipment, and is used to collect different working parameters during the operation of the nuclear power plant equipment.

[0043] For example, the acquisition module 10 may include a microcontroller unit (MCU) and a sensor module. The sensor module collects different working parameters during the operation of nuclear power plant equipment in real time, and the microcontroller unit processes the different working parameters to obtain preprocessed data. The sensor module can be various sensors, and the various sensors can be installed at key parts of nuclear power plant equipment to monitor key operating parameters such as temperature, vibration, pressure, and acoustic characteristics in real time.

[0044] Specifically, the microcontroller unit is electrically connected to the sensor module and is used to process the different working parameters collected by the sensor module to obtain preprocessed data. The microcontroller unit can be a lightweight computing device with data preprocessing and anomaly detection functions, which is used to reduce the transmission pressure and improve the response speed.

[0045] The acquisition device communicates with the data acquisition box 20 using one or several of 4G, 5G, Lora, and NB-IoT, and is responsible for transmitting the acquired data to the general monitoring data acquisition box through a wireless network.

[0046] Specifically, the data acquisition box 20 is used to receive and encrypt the preprocessed data. The data acquisition box 20 collects all sensor data within the area through multiple interfaces and multiple protocols, completes the security review stipulated by the power plant owner, and uploads the data to the central server in a wired or wireless manner through the security gateway.

[0047] In this embodiment, the data acquisition box 20 is not only the core component for data acquisition, but also integrates the functions of an industrial computer, realizing the integrated design of the gateway and the industrial computer. This design simplifies the on-site layout conditions, reduces the complexity of equipment deployment, reduces costs, and improves the reliability and flexibility of the system.

[0048] Specifically, the central data server 30 is communicatively connected to the data acquisition box 20, and the central data server 30 is used to receive and decrypt the encrypted preprocessed data. The central data server 30 can deploy a multi-dimensional monitoring network analysis and health management system, and output a health index and a fault prediction result by combining the equipment model and the operating characteristics.

[0049] Specifically, the monitoring and management platform 40 is communicatively connected to the central data server 30. The monitoring and management platform 40 is used to receive and display the preprocessed data after decryption processing, and can also call and generate corresponding chart data from the preprocessed data. The monitoring and management platform 40 provides a visual interface, which is convenient for the nuclear power plant owner to view the equipment status, health assessment results, and fault warning information in real time.

[0050] It can be seen that in the traditional wireless monitoring method for nuclear power plant equipment, the single-parameter monitoring mode is difficult to comprehensively reflect the overall operating state of nuclear power plant equipment. The multi-dimensional parameter synchronous wireless monitoring method for nuclear power plant equipment of the present invention can realize the comprehensive evaluation of the operating state of nuclear power plant equipment and the prediction of fault trends through the real-time acquisition, data transmission and analysis of multi-dimensional parameters, and improve the safety and management efficiency of nuclear power plant operation.

[0051] Please refer to Figure 1 , in an embodiment of the present invention, the sensor module is at least one of a temperature sensor, an image sensor, an acoustic sensor, a vibration sensor, and a flow sensor.

[0052] The acquisition module acquires different working parameters during the operation of nuclear power plant equipment. For example: the temperature sensor is set at the positions of the motor winding and the cooling system pipeline of the nuclear power plant equipment to obtain the corresponding temperature data. The pressure sensor is set at the positions of the steam pipeline and the hydraulic system of the nuclear power plant equipment to obtain the corresponding pressure data. The vibration sensor is set at the positions of the bearing, rotor, and pipeline of the nuclear power plant equipment to obtain the corresponding vibration data. The flow sensor is set at the positions of the coolant and fuel of the nuclear power plant equipment to obtain the corresponding flow data. The acoustic sensor is set at the positions of the motor rotor and bearing of the nuclear power plant equipment to obtain the corresponding acoustic signal.

[0053] Please refer to Figure 1 , in an embodiment of the present invention, the temperature sensor, the image sensor, the acoustic sensor, the vibration sensor, and the flow sensor acquire different working parameters during the operation of nuclear power plant equipment based on the corresponding sampling frequencies.

[0054] Please refer to Figure 1 , in an embodiment of the present invention, it includes a sensor module and a micro-control module. The sensor module real-time acquires different working parameters during the operation of nuclear power plant equipment. The micro-control module includes a comparison unit and a sending unit.

[0055] The comparison unit is used to divide different working parameters into normal data and abnormal data.

[0056] The sending unit combines the normal data and abnormal data to form preprocessed data and performs sending processing on the preprocessed data.

[0057] Please refer to Figure 1 , in an embodiment of the present invention, the comparison unit is used to compare different working parameters with their corresponding standard intervals, record the working parameters corresponding to the standard intervals as normal data, and record the working parameters exceeding the standard intervals as abnormal data.

[0058] Specifically, the micro - control module is responsible for performing anomaly detection, noise filtering, and data compression before data transmission to reduce network bandwidth requirements and improve response speed. For example, the micro - control module ensures the stability and security of data transmission by implementing advanced data - processing algorithms. In addition, encryption algorithms can be installed in the micro - control module to encrypt the transmitted data to prevent the data from being intercepted or tampered with during transmission.

[0059] Please refer to Figure 1 , in an embodiment of the present invention, the micro - control module further includes a timing unit and a calculation unit. Among them, the timing unit is used to set a timing period. The calculation unit is used to calculate the root - mean - square value of the working parameters of the same type within their timing periods among different working parameters; where different working parameters of nuclear power plant equipment correspond to different timing periods.

[0060] Among them, the comparison unit is used to compare the root - mean - square value with the corresponding preset threshold range, mark the working parameters corresponding to the root - mean - square value within the threshold range as normal data, and mark the working parameters corresponding to the root - mean - square value exceeding the threshold range as abnormal data.

[0061] For example, when the sensor is a vibration sensor and is used to detect the vibration speed of the W2 - grade stainless - steel pipeline in a nuclear power plant. The common sampling frequency of the vibration sensor is 1024 Hz, that is, 1024 data are collected per second. If all these data are directly uploaded, it will not only block the network bandwidth but also significantly increase the power consumption of the sensor. By using the micro - control module to pre - process the collected data and calculate its root - mean - square value (Root Mean Square, RMS), the 1024 data points per second are compressed into a representative value, effectively reducing the amount of data.

[0062] According to the vibration test and evaluation standard of the nuclear power plant pipeline system, the vibration speed of the W2 - grade stainless - steel pipeline is divided into four quality grades: excellent, qualified, to be evaluated, and unacceptable, as shown in Table 1. After the micro - control module completes the RMS calculation, it performs anomaly detection on the calculated data, regards the data that meet the "excellent" and "qualified" standards as normal values, and regards the data within the "to be evaluated" and "unacceptable" ranges as abnormal values. Only the abnormal values will be reported, thus achieving effective anomaly detection and noise filtering, saving network resources and improving the monitoring efficiency. In addition, the micro - control module has an Advanced Encryption Standard (AES) encryption algorithm built - in, and the key exchange follows the Diffie - Hellman key - exchange protocol. By using the AES encryption algorithm to encrypt the transmitted data, it prevents the data from being intercepted or tampered with during transmission.

[0063] Table 1. Evaluation Table of Root Mean Square Value of Vibration Velocity of W2 Grade Stainless Steel Pipeline System

[0064] Root mean square of maximum vibration velocity (mm / s) Vibration quality Evaluation requirements 0＜V＜12 Excellent None <![CDATA[12≤V<V 0 > Qualified Tracking <![CDATA[V 0 ≤V<2V 0 > Should be evaluated Conduct stress evaluation <![CDATA[2V 0 ≤V]]> Unacceptable Suggested treatment

[0065] Please refer to Figure 1 , in an embodiment of the present invention, the root mean square value of the vibration velocity of the W2 grade stainless steel pipeline system is analyzed, and the comparison unit divides the root mean square value V according to the following steps:

[0066] When 0 < the root mean square value V < 12, the working parameters corresponding to the root mean square value V are recorded as the first normal data, where V 0 is the threshold interval.

[0067] When 12 ≤ the root mean square value V < V 0 , the working parameters corresponding to the root mean square value V are recorded as the second normal data.

[0068] When V 0 ≤ the root mean square value V < 2V 0 , the working parameters corresponding to the root mean square value V are recorded as the first abnormal data.

[0069] When 2V 0 ≤ the root mean square value V, the working parameters corresponding to the root mean square value V are recorded as the second abnormal data.

[0070] In an embodiment of the present invention, the monitoring and management platform 40 includes an alarm unit, and the alarm unit is used to generate alarm information for abnormal data to perform maintenance processing on the nuclear power plant equipment. Among them, one piece of abnormal data corresponds to generating one piece of alarm information.

[0071] Please refer to Figure 1 , in an embodiment of the present invention, the monitoring and management platform 40 is also used to judge the health status of the corresponding nuclear power plant equipment based on the number of alarm messages:

[0072] When the number of alarm messages is less than or equal to the first threshold number, it is judged that the nuclear power plant equipment is in a normal state.

[0073] When the number of alarm messages is greater than the first threshold number and less than or equal to the second threshold number, it is judged that the nuclear power plant equipment is in a warning state and feedback is given to the operation and maintenance personnel.

[0074] When the number of alarm messages is greater than the second threshold number, it is judged that the nuclear power plant equipment is in an alarm state, and a preset emergency plan is automatically started.

[0075] Please refer to Figure 1, in an embodiment of the present invention, the monitoring and management platform 40 serves as an interface for users to interact with the wireless monitoring system, provides an intuitive graphical operation interface, integrates a variety of data analysis tools, and can deeply analyze the collected data, such as trend analysis, fault diagnosis, predictive maintenance, etc. The monitoring and management platform 40 supports building a PHM system based on the results of the data processing and analysis center, and evaluates and grades the health status of nuclear power plant equipment according to the prediction results of the nuclear power plant equipment operation state model. For example, the health status of nuclear power plant equipment is divided into several levels such as normal, slightly abnormal, moderately abnormal, and severely abnormal.

[0076] Specifically, when the monitoring and management platform 40 does not detect any warning information, the health status of the nuclear power plant equipment can be classified as normal. When the monitoring and management platform 40 detects several warning information, the health status of the nuclear power plant equipment can be classified as slightly abnormal. When the monitoring and management platform 40 detects more than a dozen warning information, the health status of the nuclear power plant equipment can be classified as moderately abnormal. When the monitoring and management platform 40 detects dozens of warning information, the health status of the nuclear power plant equipment can be classified as severely abnormal.

[0077] Specifically, when the nuclear power plant equipment is in a slightly abnormal state, the system automatically generates a warning message to prompt the operation and maintenance personnel to pay attention to the equipment operation situation, and provides possible fault reasons and troubleshooting suggestions. When the nuclear power plant equipment is in a moderately abnormal or severely abnormal state, in addition to sending a warning message, it will also automatically start an emergency plan, such as adjusting the equipment operation parameters, switching to standby nuclear power plant equipment, etc., to ensure the safe and stable operation of the nuclear power plant equipment. At the same time, the PHM system can also predict the remaining service life of the nuclear power plant equipment, providing a scientific basis for the maintenance and renewal plan of the nuclear power plant equipment. The monitoring and management platform 40 also supports remote access, and users can access the platform from any location through the network to monitor the equipment status in real time, improving the management efficiency.

[0078] Please refer to Figure 1 , in an embodiment of the present invention, the data of the acquisition device 10 is collected and transmitted through a low-power wide area network (such as LoRa), narrowband Internet of Things (NB-IoT), WIFI or high-speed 5G network. This process ensures the efficiency and reliability of data transmission, thus ensuring that the data can be accurately transmitted to the general monitoring data acquisition box, providing strong technical support for real-time monitoring and analysis of the data.

[0079] Please refer to Figure 1, in an embodiment of the present invention, the data acquisition box 20 is the core component responsible for data acquisition in the wireless monitoring system of nuclear power plant equipment. It integrates a variety of transmission interfaces and can connect different types of sensors, such as temperature, pressure, vibration, flow, etc. The data acquisition box 20 is built-in with a high-performance microprocessor, which can perform preliminary processing on the massive data collected from numerous front-end sensors, such as data caching, encryption, etc. The data acquisition box 20 conducts security reviews on the received data according to the owner's requirements to prevent malicious upload and intrusion from the outside. The data acquisition box 20 has significant advantages during data transmission. Since the wireless transmission range of sensors is limited and there are signal attenuation problems, the data acquisition box 20 can act as a relay to enhance the reliability and stability of signal transmission. The collected and processed data is sent to the central data server for further analysis and processing.

[0080] The data acquisition box 20 is built-in with a dedicated national cryptographic encryption chip, supporting national cryptographic algorithms SM1, SM2, SM3, SM4, as well as international general encryption algorithms AES, 3DES, and SHA-256. In addition, it also supports various VPN encryption tunnel communication protocols such as IPsecVPN, L2TPVPN, and OpenVPN to achieve dual hardware and software encryption. At the same time, it is equipped with an SPI firewall, having DoS attack protection and ACL functions. To further enhance security, the data acquisition box 20 also supports modifying the default SSH login port, disabling unused ports, and closing the remote user password login function, and switching to key login, thus effectively solving security problems such as data leakage, identity disguise, illegal operations, and malicious attacks. Multiple protections ensure data communication security and provide reliable support for the system to prevent illegal intrusion.

[0081] The data acquisition box 20 is designed compactly, facilitating installation at various key parts of the equipment, and has good anti-interference ability to ensure the accuracy and reliability of data acquisition. It is configured with a fixed IP address at the factory and enters the whitelist, saving the data transmission and network access approval process and effectively saving the on-site layout time. As an intermediate module in the system, the data acquisition box 20 not only is responsible for data acquisition but also integrates the functions of a gateway and an industrial control computer. This innovative design enables the data acquisition box 20 to directly connect to various sensor interfaces, while processing and forwarding data, reducing the dependence on additional industrial control computer and gateway devices.

[0082] Please refer to Figure 1, in an embodiment of the present invention, the central data server 30 serves as the core of the entire wireless monitoring system, responsible for receiving, storing, and managing data from each monitoring terminal. The central data server 30 adopts a high-performance computing platform, with powerful data processing capabilities and storage capacity. The central data server 30 runs professional data management software, which can efficiently manage massive data, support rapid data retrieval, backup, and recovery. The central data server 30 also provides data interfaces, supporting seamless docking with the monitoring management platform to achieve real-time data display and analysis. In addition, the central data server 30 also has self-diagnosis and fault recovery functions to ensure the stable operation of the system.

[0083] Please refer to Figure 2 , in an embodiment of the present invention, the wireless monitoring method for nuclear power plant equipment may include the following steps.

[0084] Step S10: Through the acquisition device, different working parameters during the operation of the nuclear power plant equipment are collected in real time, and data processing is performed on the different working parameters to obtain preprocessed data.

[0085] Step S20: Through the data acquisition box, the preprocessed data is received and encrypted.

[0086] Step S30: Through the central data server, it is used to receive and decrypt the preprocessed data after encryption processing.

[0087] Step S40: Through the monitoring management platform, it is used to analyze and display the preprocessed data after decryption processing.

[0088] This application has the following advantages. For example, data acquisition and synchronization: Multiple sensors at the front end collect multi-dimensional data in real time, and after preliminary processing (including filtering, denoising, and outlier detection), the data is sent to the general monitoring data acquisition box in the middle end through a wireless network. This box is not only responsible for data reception but also performs preliminary data processing and protocol conversion. The sensor module collects various parameters in real time and uses the IEEE1588 protocol for time synchronization to ensure data consistency.

[0089] Data transmission and preprocessing: The general monitoring data acquisition box further processes the received data, including data encryption, etc., and then sends the processed data to the central server at the back end by wired or wireless means.

[0090] Multi-dimensional parameter analysis: The server constructs a multi-dimensional monitoring network based on the collected data and extracts the global characteristics of the equipment. Health management and prediction: Machine learning methods are used to analyze the equipment health trend, generate a prediction model, judge potential faults, and give early warnings.

[0091] This application has the following advantages. For example, comprehensive and accurate monitoring: By obtaining multi-dimensional parameters through a variety of monitoring devices, it can comprehensively and multi-angularly reflect the operating status of nuclear power plant equipment, avoiding the one-sidedness of single-parameter monitoring. For example, by integrating parameters such as temperature, pressure, and vibration, it is possible to more accurately judge the mechanical structure integrity, heat exchange efficiency, and fluid flow state inside the equipment, thereby achieving precise monitoring of the equipment operating status.

[0092] Effective fault prediction: The fault prediction and health management system built based on multi-dimensional parameters can detect potential equipment fault hazards in advance. Through data analysis algorithms and equipment operating status models, the fault type and time can be predicted before the fault occurs, providing sufficient time for maintenance personnel to conduct fault troubleshooting and repair, effectively reducing the equipment failure rate, reducing the downtime of the nuclear power plant caused by equipment failures, and improving the operating efficiency and safety of the nuclear power plant.

[0093] Improve operation and maintenance efficiency: The monitoring method of the present invention realizes the automated collection, transmission, analysis, and processing of data, reducing the manual intervention link. Maintenance personnel can obtain comprehensive information of the equipment in real time through a unified management platform, including equipment operating parameters, health status assessment, fault warning, etc. This helps maintenance personnel quickly locate the fault point, formulate a reasonable maintenance plan, improve the equipment operation and maintenance efficiency, and reduce the operation and maintenance cost.

[0094] Optimize equipment management strategy: Since it is able to accurately predict the remaining service life of the equipment, the nuclear power plant owner can reasonably arrange the maintenance, update, and upgrade plans of the equipment according to the actual health status and remaining life of the equipment. It avoids the waste of resources caused by over-maintenance, and at the same time prevents equipment safety accidents caused by insufficient maintenance, realizing the scientific and refined management of equipment.

[0095] Simplify the layout conditions: By integrating the functions of the gateway and the industrial control computer into a general monitoring data acquisition box, the present invention greatly simplifies the on-site layout conditions and reduces the time and cost of equipment deployment.

[0096] Improve system flexibility: The integrated design makes the system more flexible and can quickly adapt to different monitoring requirements and environmental changes.

[0097] Reduce maintenance cost: Since the additional industrial control computer and gateway devices are reduced, the maintenance cost of the system is also correspondingly reduced.

[0098] In summary, a wireless monitoring system and monitoring method for nuclear power plant equipment disclosed by the present invention have comprehensive, systematic, and efficient operation monitoring efficiency, and also have significant industrial application value and promotion prospects. Therefore, the present invention effectively overcomes various disadvantages in the prior art and has high industrial utilization value.

[0099] The above embodiments are only illustrative of the principles and effects of the present invention and are not intended to limit the present invention. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by those with ordinary knowledge in the technical field without departing from the spirit and technical idea disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. A wireless monitoring system for nuclear power plant equipment, characterized in that: include: The acquisition equipment is used to collect different working parameters of the nuclear power plant equipment in real time during operation, and to process the different working parameters to obtain pre-processed data; A data acquisition box, used for receiving and encrypting the pre-processed data; The central data server is used to receive and decrypt the encrypted pre-processed data; The monitoring and management platform is used to analyze and display the pre-processed data after decryption.

2. The wireless monitoring system for nuclear power plant equipment according to claim 1, characterized in that: The acquisition device includes a sensor module and a microcontroller module. The sensor module collects different working parameters of the nuclear power plant equipment in real time during operation. The microcontroller module includes: A comparison unit, used for dividing different working parameters into normal data and abnormal data; The sending unit combines the normal data and the abnormal data to form pre-processed data, and sends the pre-processed data for processing.

3. The wireless monitoring system for nuclear power plant equipment according to claim 2, characterized in that: The comparison unit is used to compare different working parameters with their corresponding standard intervals, record the working parameters corresponding to the standard interval as normal data, and record the working parameters corresponding to the standard interval exceeding the standard interval as abnormal data.

4. The wireless monitoring system for nuclear power plant equipment according to claim 2, characterized in that: The microcontroller module further comprises: A timing unit, used to set a timing cycle; A calculation unit, used for calculating the root mean square value of the same type of working parameters within its timing period among different working parameters; wherein different working parameters of the nuclear power plant equipment correspond to different timing periods; The comparison unit is used to compare the RMS value with the corresponding preset threshold interval, record the working parameters corresponding to the RMS value within the threshold interval as normal data, and record the working parameters corresponding to the RMS value exceeding the threshold interval as abnormal data.

5. The wireless monitoring system for nuclear power plant equipment according to claim 2, characterized in that: The monitoring and management platform includes an alarm unit, which is used to generate alarm information for the abnormal data so as to perform maintenance on the nuclear power plant equipment; wherein one piece of the abnormal data generates one piece of the alarm information.

6. The wireless monitoring system for nuclear power plant equipment according to claim 5, characterized in that: The monitoring management platform is also used to determine the health status of the corresponding nuclear power plant equipment based on the number of alarm information: When the number of the alarm information is less than or equal to the first threshold number, it is determined that the nuclear power plant equipment is in a normal state; When the number of the alarm information is greater than the first threshold number and less than or equal to the second threshold number, the nuclear power plant equipment is judged to be in a warning state, and feedback is given to the operation and maintenance personnel; When the number of the alarm information is greater than a second threshold number, it is determined that the nuclear power plant equipment is in an alarm state, and a preset emergency plan is automatically started.

7. The wireless monitoring system for nuclear power plant equipment according to claim 2, characterized in that: The sensor module is at least one of a temperature sensor, an image sensor, an acoustic sensor, a vibration sensor, and a flow sensor.

8. The wireless monitoring system for nuclear power plant equipment according to claim 7, characterized in that: The temperature sensors are arranged at the positions of the motor windings and cooling system pipes of the nuclear power plant equipment; The pressure sensor is arranged at the steam pipeline and hydraulic system of the nuclear power plant equipment; The vibration sensors are arranged at the positions of the bearings, rotors and pipelines of the nuclear power plant equipment; The flow sensor is arranged at the coolant and fuel positions of the nuclear power plant equipment; The acoustic sensor is arranged at the position of the motor rotor and the bearing of the nuclear power plant equipment.

9. The wireless monitoring system for nuclear power plant equipment according to claim 1, characterized in that: The acquisition device and the data acquisition box communicate with each other via one or more of 4G, 5G, Lora, and NB-IoT.

10. A wireless monitoring method for nuclear power plant equipment, characterized in that: include: Through the acquisition equipment, different working parameters of the nuclear power plant equipment in operation are collected in real time, and data of different working parameters are processed to obtain pre-processed data; Receiving and encrypting the pre-processed data through a data acquisition box; The central data server is used to receive and decrypt the encrypted pre-processed data; The monitoring and management platform is used to analyze and display the pre-processed data after decryption.

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