Nuclear power emergency diesel generating set health detection system and method

Abstract

The invention relates to the technical field of generator set fault detection, in particular to a nuclear power emergency diesel generator set health detection method. Vibration signals and thermal parameters in the working process of the diesel generating set are collected through an external sensing device; filtering the collected vibration signals and establishing a dynamic data set; establishing a kinetic model of the diesel generating set according to the vibration signals in the dynamic data set, and performing anomaly analysis according to the established kinetic model and the thermal parameters to obtain abnormal vibration signals; and evaluating the health degree of the diesel generating set according to the abnormal vibration signal. The invention further provides a nuclear power emergency diesel generating set health detection system, the nuclear power emergency diesel generating set health detection method is adopted to achieve real-time monitoring and early warning of the diesel generating set, and the operation efficiency and safety of the emergency diesel generating set are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of generator set fault detection, and in particular to a nuclear power emergency diesel generator set health detection system and method. Background Art

[0002] Once important moving parts of a nuclear diesel engine fail and are damaged, the replacement and operating costs will be very high. In severe cases, the unit may not be able to operate normally and cannot perform its functions in the nuclear power plant, causing safety risks and economic losses to nuclear power.

[0003] At present, the health monitoring of nuclear power emergency diesel generator sets mainly receives data collected by sensors through the system instrumentation and control cabinet. The system parameters and alarm information of the emergency diesel generator sets are displayed on the instrumentation and control system HMI interface or the instrumentation and control cabinet panel. The technical means have always remained in the monitoring stage. Fault judgment and early warning still rely mainly on personnel to analyze the health of the unit through monitoring unit data and alarms. Some chronic and gradual mechanical failures are difficult to detect in the initial stage. They can only be detected when the faults accumulate seriously and the system instrumentation and control cabinet detects abnormal parameters or alarm information. Therefore, it is urgent to develop a health detection system suitable for nuclear power emergency diesel generator sets, so that it has system monitoring and fault diagnosis functions, and does not rely on personnel to judge faults through data analysis, especially gradual faults of diesel engines. Summary of the invention

[0004] In order to solve the problems existing in the prior art, the present invention provides a health detection method for nuclear power emergency diesel generator sets, which collects vibration signals and thermal parameters of diesel generator sets during operation through external sensing devices; filters and processes the collected vibration signals and establishes a dynamic data set; establishes a dynamic model of the diesel generator set according to the vibration signals in the dynamic data set, obtains the diesel generator set, performs abnormal analysis based on the established dynamic model combined with the thermal parameters, and obtains vibration signals with abnormalities; and evaluates the health of the diesel generator set according to the abnormal vibration signals. The present invention also provides a health detection system for nuclear power emergency diesel generator sets, which adopts the above-mentioned health detection method for nuclear power emergency diesel generator sets to realize real-time monitoring and early warning of diesel generator sets, effectively improving the operating efficiency and safety of emergency diesel generator sets.

[0005] The present invention adopts the following technical scheme, a nuclear power emergency diesel generator health detection method, comprising:

[0006] The vibration signals and thermal parameters of the diesel generator set during operation are collected through external sensing devices;

[0007] Filtering the collected vibration signals and establishing a dynamic data set using the filtered vibration signals;

[0008] A dynamic model of the diesel generator set is established according to the vibration signal in the dynamic data set.

[0009] Performing abnormal analysis based on the established dynamic model combined with the thermal parameters to obtain abnormal vibration signals;

[0010] Assess the health of diesel generator sets based on abnormal vibration signals.

[0011] Furthermore, the thermal parameters of the diesel generator set include:

[0012] Lubricating oil temperature, lubricating oil pressure, load, unit voltage, unit current, cylinder exhaust temperature, supercharger inlet and outlet temperatures, main bearing temperature, supercharger speed.

[0013] Furthermore, the collected vibration signal is filtered and processed, and a dynamic data set is established using the filtered vibration signal, including:

[0014] Filtering and denoising the collected vibration signal, and extracting features of the vibration signal using time domain and frequency domain analysis methods;

[0015] The vibration signals after feature extraction are classified and the identifier corresponding to each vibration signal is marked to obtain a dynamic data set.

[0016] Furthermore, a dynamic model of the diesel generator set is established according to the working parameters in the dynamic data pool, specifically:

[0017]

[0018] in, is the inertia force of the components in the diesel generator set, m i is the inertial mass, is the acceleration of the component; is the damping force of the components in the diesel generator set, c s is the damping coefficient, is the speed of the component; k s x i is the elastic force of the components in the diesel generator set, k s is the elastic modulus, x i is the displacement of the component; is the difference between the damping force at a certain moment and the reference moment, and Respectively represent the speed change rate between the i-th moment and the reference moment; It represents the sum of the horizontal components of the external excitation force in the diesel generator set when the load changes, β j is the excitation coefficient, F kj is the external excitation force, cosθ j It is used to determine the horizontal component of the external excitation force in the diesel generator set when the load changes, N k is the number of external excitation forces in the diesel generator set; x i is the vibration signal collected; Q x , Q y is the equivalent force of the external load of the diesel generator set in the x and y directions.

[0019] Furthermore, an abnormality analysis is performed based on the established dynamic model in combination with the thermal parameters to obtain abnormal vibration signals, including:

[0020] Acquire a theoretical value of the vibration signal based on the dynamic model, and compare the theoretical value with an actual value;

[0021] When the theoretical value is the same as the actual value, there is no abnormal vibration signal;

[0022] When the theoretical value and the actual value of the vibration signal are different, the thermal parameters of the diesel generator set at this time are obtained, and the thermal parameter values ​​at this time are compared with the standard thermal parameter table;

[0023] If the thermal parameter value at this time is different from the corresponding value in the standard thermal parameter table, the vibration signal is regarded as an abnormal vibration signal.

[0024] Furthermore, the health status of the diesel generator set is evaluated based on the abnormal vibration signal, including:

[0025] Obtain the position of the diesel generator set corresponding to the abnormal vibration signal;

[0026] The fault level of the diesel generator set is determined by comparing the values ​​of the thermal parameters corresponding to the position within the set threshold range.

[0027] Furthermore, the present invention also provides a nuclear power emergency diesel generator health detection system, which adopts any of the above diesel generator health detection methods, and includes a perception system, a data system, a health assessment system, an interactive system and an external system, wherein:

[0028] The sensing system includes a plurality of sensors for real-time monitoring of vibration signals and thermal parameters of various components of the generator set;

[0029] The data system includes: a data acquisition module, a data processing module and a status monitoring module, wherein:

[0030] The data acquisition module is used to receive the vibration signals and thermal parameters of various components of the generator set collected by the sensors of the perception system;

[0031] The data processing module is used to filter the vibration signal and thermal parameters, and use the filtered vibration signal to establish a dynamic data set;

[0032] Establishing a dynamic model of the diesel generator set according to the vibration signal in the dynamic data set;

[0033] Performing abnormal analysis based on the established dynamic model combined with the thermal parameters to obtain abnormal vibration signals;

[0034] The state monitoring module is used to output an alarm signal to the diesel generator set according to the presence of an abnormal vibration signal;

[0035] The health assessment system is used to assess the health of the diesel generator set based on the abnormal vibration signal and determine the faulty components in the diesel generator set;

[0036] The display alarm module is used to evaluate the health status of the diagnosis and evaluation module;

[0037] The interactive system is used to display abnormal vibration signals, alarm signals and health assessment results, and provide a human-computer interaction interface for staff to operate;

[0038] The external system is used to store the data generated in the health detection system.

[0039] The present invention also discloses an electronic device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the above-mentioned nuclear power emergency diesel generator set health detection method.

[0040] The present invention also discloses a computer-readable storage medium storing computer instructions, wherein the computer instructions are operated to execute the above-mentioned nuclear power emergency diesel generator set health detection method.

[0041] The beneficial effects of the present invention are as follows: the present invention can identify faults in the early stages of a fault, reduce the probability of occurrence of serious faults, avoid causing greater safety risks and economic losses, and through monitoring and early warning of the operating parameters of the diesel generator set, can promptly discover and handle faults to ensure the safe and reliable operation of the diesel generator set. At the same time, by maintaining and optimizing the operation of the unit, its operating life is increased and the operation and maintenance costs are reduced. The method for quickly and accurately locating faults proposed by the present invention can also provide guidance to maintenance personnel and improve maintenance efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0043] Figure 1 A schematic flow chart of a method for health detection of a nuclear power emergency diesel generator set according to an embodiment of the present invention;

[0044] Figure 2 This is a schematic diagram of the structure of a nuclear power emergency diesel generator set health detection system according to an embodiment of the present invention;

[0045] Figure 3 A schematic diagram of device connection of a health monitoring system according to an embodiment of the present invention;

[0046] Figure 4 The figure is a schematic diagram of the structure of a detection software according to an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] A structural diagram of a nuclear power emergency diesel generator health detection system according to an embodiment of the present invention is shown in FIG. Figure 1 As shown, including:

[0049] The vibration signals and thermal parameters of the diesel generator set during operation are collected through external sensing devices;

[0050] Filtering the collected vibration signals and establishing a dynamic data set using the filtered vibration signals;

[0051] A dynamic model of the diesel generator set is established according to the vibration signal in the dynamic data set.

[0052] Performing abnormal analysis based on the established dynamic model combined with the thermal parameters to obtain abnormal vibration signals;

[0053] Assess the health of diesel generator sets based on abnormal vibration signals.

[0054] In another specific embodiment of the present invention:

[0055] The present invention completes the data collection of the original analog signals of the unit body (including vibration signals, key phase signals and instantaneous speed signals of various components of the diesel generator set) through external devices such as acceleration sensors and torsional vibration sensors, as well as relevant thermal parameters during its working process, including: lubricating oil temperature, lubricating oil pressure, load, unit voltage, unit current, cylinder exhaust temperature, supercharger inlet and outlet temperature, main bearing temperature, and supercharger speed.

[0056] The present invention then filters and denoises the collected vibration signals, and uses time domain and frequency domain analysis methods to extract features from the vibration signals; the vibration signals after feature extraction are classified, and the identifier corresponding to each vibration signal is marked to obtain a dynamic data set.

[0057] The present invention integrates multiple source signals such as vibration acceleration, torsional vibration and thermal parameters, realizes correlation analysis and diagnosis of fault characteristics through intelligent algorithms, deeply integrates the operating principle, dynamic model, and accumulated fault maintenance experience of diesel generator sets, realizes data model construction and operation optimization such as initial establishment of data model, determination of monitoring parameter threshold boundary, and record evaluation of model parameter reference value, thereby improving the accuracy of initial data of data model and improving the accuracy of system fault diagnosis; the dynamic model of diesel generator set is established according to the working parameters in the dynamic data pool, and its expression is:

[0058]

[0059]

[0060] in, is the inertia force of the components in the diesel generator set, m i is the inertial mass, is the acceleration of the component; is the damping force of the components in the diesel generator set, c s is the damping coefficient, is the speed of the component; k s x i is the elastic force of the components in the diesel generator set, k sis the elastic modulus, x i is the displacement of the component; is the difference between the damping force at a certain moment and the reference moment, and Respectively represent the speed change rate between the i-th moment and the reference moment; It represents the sum of the horizontal components of the external excitation force in the diesel generator set when the load changes, β j is the excitation coefficient, F kj is the external excitation force, cosθ j It is used to determine the horizontal component of the external excitation force in the diesel generator set when the load changes, N k is the number of external excitation forces in the diesel generator set; x i is the vibration signal collected; Q x , Q y is the equivalent force of the external load of the diesel generator set in the x and y directions.

[0061] This application takes the diesel engine in a diesel generator set as an example, and determines the performance of the diesel engine by monitoring the numerical changes in the parameters of various components of the diesel engine under different loads. If one or more parameters suddenly change or fluctuate beyond the normal range, the possible problems of the diesel engine can be determined through the corresponding physical meaning. For example, under a certain load condition, the value of a known acceleration is calculated, and the acceleration values ​​directly obtained by sensors at different parts of the diesel engine are compared, so as to preliminarily determine the abnormal vibration of a certain part of the diesel engine.

[0062] According to the established dynamic model and the thermal parameters, an abnormal analysis is performed to obtain an abnormal vibration signal, which is specifically as follows in the embodiment of the present invention:

[0063] The natural frequency and vibration mode of the shaft system are obtained according to the shaft system torsional vibration equation; the velocity and displacement are obtained by integrating the acceleration sensor; the torsional vibration frequency and amplitude of the shaft system are obtained by performing spectrum analysis on the collected vibration signal; the vibration structure and the thermal parameters of the unit are compared and analyzed to obtain abnormal vibration signals, specifically:

[0064] Obtain a theoretical value of the vibration signal based on the dynamic model, and compare the theoretical value with the actual value; when the theoretical value is the same as the actual value, there is no abnormal vibration signal;

[0065] When the theoretical value and actual value of the vibration signal are different, the thermal parameters of the diesel generator set at this time are obtained, and the thermal parameter values ​​at this time are compared with the standard thermal parameter table; if the thermal parameter values ​​at this time are different from the corresponding values ​​in the standard thermal parameter table, the vibration signal is regarded as an abnormal vibration signal.

[0066] When the diesel engine is under a certain load, the exhaust temperature rises, and the vibration value (vibration frequency and amplitude) obtained is abnormal, which can be judged as a problem with the combustion system. By further measuring the explosion pressure value of the diesel engine cylinder under this load, the combustion system problem can be completely judged, such as uneven fuel injection or valve failure. If the exhaust temperature is too low and the vibration is abnormal, it can be judged that the combustion in the cylinder is insufficient or the mechanical moving parts are loose (such as loose piston rings, loose connecting rod bolts, etc.).

[0067] The health status of the diesel generator set is evaluated based on the abnormal vibration signal, and the position of the diesel generator set corresponding to the abnormal vibration signal is obtained; the fault level of the diesel generator set can be determined by comparing the values ​​of the corresponding thermal parameters at the position within the set threshold range.

[0068] In another embodiment of the present invention:

[0069] The present invention also proposes a nuclear power emergency diesel generator health detection system, the structural diagram of which is shown in FIG. Figure 2 As shown, it includes: perception system, data system, health assessment system, interaction system and external system, among which:

[0070] The sensing system includes multiple sensors for real-time monitoring of vibration signals and thermal parameters of various components of the generator set;

[0071] In the embodiment of the present invention, the field bus is used to complete the acquisition of information from existing sensors in the equipment, and the dedicated sensor data acquisition equipment is used to complete the collection of vibration and torsional vibration. The connection diagram is shown in FIG. Figure 3 As shown, the details are as follows:

[0072] Vibration measurement points: The vibration of key positions of the diesel engine is measured by adding acceleration sensors. The specific information is shown in Table 1:

[0073] Table 1 Schematic diagram of vibration measurement point information

[0074]

[0075]

[0076] Key phase measurement point: Based on the full-cycle angular domain waveform of the vibration acceleration of the cylinder head and other measurement points, the phase and amplitude characteristics of each local impact vibration signal with specific physical significance are extracted. The specific information is shown in Table 2:

[0077] Table 2 Key phase measurement point information diagram

[0078]

[0079] Instantaneous speed measurement point: It indicates the accuracy conversion from time domain signal to angle domain signal when the speed changes rapidly during the diesel engine startup process. For specific information, see Table 3:

[0080] Table 3 Schematic diagram of instantaneous speed measurement point information

[0081]

[0082] In summary, the sensors used in the perception system in the embodiment of the present invention can be various types such as eddy current sensors, acceleration sensors, pressure sensors, etc., and appropriate sensors are selected according to different detection requirements and environmental conditions; for example, when measuring the vibration signal of a diesel engine, an eddy current sensor is selected due to its high precision and good dynamic response characteristics; when monitoring pressure changes, a pressure sensor may be used; the layout and number of sensors need to be determined based on the actual detection points and detection accuracy requirements to ensure that the equipment operating status information can be obtained comprehensively and accurately. The data collected by these sensors can monitor the operating status of the nuclear power emergency diesel generator set in real time, and detect potential faults and abnormalities in a timely manner, thereby ensuring the safe and stable operation of the nuclear power plant.

[0083] Vibration sensors installed on diesel generator sets can monitor the vibration signals of the sets in real time. By analyzing the frequency domain, amplitude and other characteristics of the vibration signals, abnormal vibrations can be identified. Combined with thermal parameters, fault diagnosis and analysis can be performed to identify abnormalities in key components, such as cylinder combustion (abnormal exhaust temperature, insufficient output power, flameout, explosion vibration, unstable combustion), cylinder liner abnormalities (cylinder liner cracks, cylinder liner friction, excessive wear of the cylinder liner), main bearings, crankpin bearings and camshaft bearings abnormalities (cracks, abrasions, wear, lubrication status, bearing erosion), generator bearing abnormalities (excessive bearing temperature, wear and vibration), etc.

[0084] like Figure 2 As shown in , the data system structure in the embodiment of the present invention includes: a data acquisition module, a data processing module and a status monitoring module, wherein:

[0085] A data acquisition module, used to receive vibration signals and thermal parameters of various components of the generator set collected by sensors of the perception system;

[0086] The data processing module is used to filter the vibration signal and the thermal parameters, and use the filtered vibration signal to establish a dynamic data set; the vibration signal in the dynamic data set is used to establish a dynamic model of the diesel generator set; an abnormality analysis is performed based on the established dynamic model combined with the thermal parameters to obtain the vibration signal with abnormalities;

[0087] A status monitoring module is used to output an alarm signal to the diesel generator set according to abnormal vibration signals;

[0088] The health assessment system is used to assess the health of the diesel generator set based on abnormal vibration signals and determine the faulty components in the diesel generator set;

[0089] An interactive system for displaying abnormal vibration signals, alarm signals, and health assessment results, and providing a human-computer interaction interface for operators to operate;

[0090] The external system is used to store the data generated in the health detection system. In the embodiment of the present invention, the system is equipped with a database management system to achieve efficient classification, indexing and retrieval of collected data. At the same time, the system also has a data backup and recovery mechanism to ensure data security and prevent data loss due to unexpected situations. Through close integration with the health detection system, the external system can achieve real-time data updates and provide solid data support for data analysis and decision-making.

[0091] In another specific embodiment of the present invention:

[0092] The present invention also provides a software for applying the nuclear power emergency diesel generator health detection system to intelligent devices such as computers, and its structural diagram is shown in FIG. Figure 4 As shown in the figure, it includes human-computer interaction software, functional software and data management platform software. The human-computer interaction software is responsible for receiving the instructions input by the user and intuitively displaying the operating status, alarm information and health assessment results of the health detection system to the user; the functional software includes program modules for processing vibration signals, executing health assessment algorithms and generating alarm signals; the data management platform software is responsible for storing, classifying, indexing, retrieving, backing up and restoring the data generated by the health detection system to ensure the integrity and reliability of the data; through the integration of this software, users can easily perform health detection of nuclear power emergency diesel generator sets on smart devices, realize remote monitoring and management, and improve work efficiency and fault response speed.

[0093] Specifically, the human-computer interaction software includes multiple functional units: monitoring data visualization, overall situation display, alarm information display, historical data visualization, decision-making support information display, and system configuration management. Monitoring data visualization can display the unit's operating parameters, such as temperature, pressure, vibration, etc. in real time, so that users can quickly grasp the unit status through a graphical interface; the overall situation display provides a global perspective, allowing operators to understand the operating status of the entire system at a glance; when an abnormality is detected, the alarm information display can immediately issue visual and sound alarms and provide fault diagnosis information to help users quickly locate the problem; historical data visualization allows users to review and analyze the unit's historical operating data, and decision-making support information display provides maintenance suggestions and operating instructions based on data analysis; system configuration management provides advanced users with configuration and adjustment options for software and detection systems to adapt to different working environments and needs.

[0094] The functional software includes: threshold diagnosis, abnormal data analysis, multi-source data fusion fault diagnosis, trend analysis, fault prediction, statistical analysis and report management and other functional units. The threshold diagnosis function can automatically determine whether the unit operation status is normal according to the preset parameter threshold. When the parameter is detected to be out of the normal range, the system will automatically record and issue an alarm. The software of the embodiment of the present invention also has a detection parameter threshold setting function, which is used to configure the threshold of the monitoring equipment parameters, including list information (monitoring location, monitoring parameter, upper threshold limit, lower threshold limit, operation), query (enter the monitoring parameter name, click query, query successful), configuration (click configuration, enter the upper threshold limit, lower threshold limit limit, query successful), delete (click delete after selecting the parameter, and it will prompt that the deletion is successful); abnormal data analysis conducts in-depth analysis of the alarm information to help users understand the cause of the abnormality; multi-source data fusion fault diagnosis provides more accurate fault diagnosis results by integrating information from different data sources; trend analysis function predicts possible problems of the unit in the future by analyzing historical data, so as to carry out maintenance in advance; fault prediction function uses advanced algorithm models to predict potential faults of the unit and reduce the occurrence of sudden faults; statistical analysis and report management functional unit is responsible for collecting and collating various types of data, generating detailed statistical reports, and providing decision support for management.

[0095] The data management platform software includes: low-frequency detection data storage database, data processing feature value extraction, high-frequency data storage database, diagnostic database, knowledge base, system parameter database and external interface management module. The low-frequency detection data storage database is responsible for collecting and saving low-frequency data in the operation of the unit, providing basic data for long-term trend analysis; the data processing feature value extraction module extracts key feature values ​​from the original data through algorithm analysis, providing an important basis for subsequent fault diagnosis and trend analysis; the high-frequency data storage database is used to store and manage high-frequency data in the operation of the unit to ensure the real-time and accuracy of the data; the diagnostic database integrates data from different modules to provide comprehensive data support for fault diagnosis; the knowledge base contains a wealth of fault cases and solutions, providing a reference basis for intelligent diagnosis of the system; the system parameter database stores various parameter settings required for system operation, which is convenient for system configuration and adjustment. The external interface management module is responsible for connecting with other systems to ensure smooth data exchange and information interconnection.

[0096] At the same time, the software proposed in the embodiment of the present invention can also adopt cut-in distributed acquisition software, external system data acquisition and communication software, and external system link interface software as external expandable functional software. Through the integration of these external functional software, the software system of the embodiment of the present invention can more flexibly adapt to various complex nuclear power plant operating environments and improve the overall performance and reliability of the system.

[0097] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for detecting the health of a nuclear power emergency diesel generator set, characterized in that: include: The vibration signals and thermal parameters of the diesel generator set during operation are collected through external sensing devices; Filtering the collected vibration signals and establishing a dynamic data set using the filtered vibration signals; A dynamic model of the diesel generator set is established according to the vibration signal in the dynamic data set. Performing abnormal analysis based on the established dynamic model combined with the thermal parameters to obtain abnormal vibration signals; Assess the health of diesel generator sets based on abnormal vibration signals.

2. A nuclear power emergency diesel generator health detection method according to claim 1, characterized in that: The thermal parameters of the diesel generator set include: Unit voltage, unit current, cylinder exhaust temperature, supercharger inlet and outlet temperatures, diesel engine speed.

3. A nuclear power emergency diesel generator health detection method according to claim 1, characterized in that: The collected vibration signals are filtered and processed, and a dynamic data set is established using the filtered vibration signals, including: Filtering and denoising the collected vibration signal, and extracting features of the vibration signal using time domain and frequency domain analysis methods; The vibration signals after feature extraction are classified and the identifier corresponding to each vibration signal is marked to obtain a dynamic data set.

4. A nuclear power emergency diesel generator health detection method according to claim 1, characterized in that: The dynamic model of the diesel generator set is established according to the working parameters in the dynamic data pool, specifically: in, is the inertia force of the components in the diesel generator set, m i is the inertial mass, is the acceleration of the component; is the damping force of the components in the diesel generator set, c s is the damping coefficient, is the speed of the component; k s x i is the elastic force of the components in the diesel generator set, k s is the elastic modulus, x i is the displacement of the component; is the difference between the damping force at a certain moment and the reference moment, and Respectively represent the speed change rate between the i-th moment and the reference moment; θ j It represents the sum of the horizontal components of the external excitation force in the diesel generator set when the load changes, β j is the excitation coefficient, F kj is the external excitation force, cosθ j It is used to determine the horizontal component of the external excitation force in the diesel generator set when the load changes, N k is the number of external excitation forces in the diesel generator set; x i is the vibration signal collected; Q x , Q y is the equivalent force of the external load of the diesel generator set in the x and y directions.

5. A nuclear power emergency diesel generator health detection method according to claim 1, characterized in that: According to the established dynamic model and the thermal parameters, abnormal analysis is performed to obtain abnormal vibration signals, including: Acquire a theoretical value of the vibration signal based on the dynamic model, and compare the theoretical value with an actual value; When the theoretical value is the same as the actual value, there is no abnormal vibration signal; When the theoretical value and the actual value of the vibration signal are different, the thermal parameters of the diesel generator set at this time are obtained, and the thermal parameter values ​​at this time are compared with the standard thermal parameter table; If the thermal parameter value at this time is different from the corresponding value in the standard thermal parameter table, the vibration signal is regarded as an abnormal vibration signal.

6. A nuclear power emergency diesel generator health detection method according to claim 1, characterized in that: The health status of the diesel generator set is assessed based on abnormal vibration signals, including: Obtain the position of the diesel generator set corresponding to the abnormal vibration signal; The fault level of the diesel generator set is determined by comparing the values ​​of the thermal parameters corresponding to the position within the set threshold range.

7. A nuclear power emergency diesel generator health detection system, implementing any diesel generator health detection method as described in claims 1-6, characterized in that: It includes perception system, data system and health assessment system, among which: The sensing system includes a plurality of sensors for real-time monitoring of vibration signals and thermal parameters of various components of the diesel generator set during operation; The data system includes: a data acquisition module, a data processing module and a status monitoring module, wherein: The data acquisition module is used to receive the vibration signals and thermal parameters of various components of the generator set collected by the sensors of the perception system; The data processing module is used to filter the vibration signal and thermal parameters, and use the filtered vibration signal to establish a dynamic data set; establish a dynamic model of the diesel generator set according to the vibration signal in the dynamic data set; perform an abnormality analysis based on the established dynamic model combined with the thermal parameters to obtain the vibration signal with abnormalities; The state monitoring module is used to output an alarm signal to the diesel generator set according to the presence of an abnormal vibration signal; The health assessment system is used to assess the health of the diesel generator set according to the abnormal vibration signal and determine the faulty components in the diesel generator set.

8. A nuclear power emergency diesel generator health detection system according to claim 7, characterized in that: It also includes interactive systems and external systems; The interactive system is used to display abnormal vibration signals, alarm signals and health assessment results, and provide a human-computer interaction interface for staff to operate; The external system is used to store the data generated in the health detection system.

9. An electronic device, characterized in that: The electronic device comprises: At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the health detection method for nuclear power emergency diesel generator sets as described in any one of claims 1-6.

10. A computer-readable storage medium storing computer instructions, wherein the computer instructions are operated to execute the health detection method for nuclear power emergency diesel generator sets according to any one of claims 1 to 6.

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