Method and system for detecting abnormal motion state of nuclear reactor control rod drive mechanism

Abstract

The present application belongs to the field of nuclear reactor control, and provides a nuclear reactor control rod drive mechanism motion state anomaly detection method and system. The nuclear reactor control rod drive mechanism motion state anomaly detection method comprises filtering the original current signal of the control rod drive mechanism to intercept a quasi-periodic current signal; normalizing the quasi-periodic current signal, and then extracting a reference period based on the maximum similarity principle; calculating the similarity distance between the current signal of the current reference period and the time average waveform curve to obtain an anomaly score curve, and then judging the health state of the current reference period current signal through hypothesis testing, thereby finally realizing dynamic anomaly monitoring of the control rod drive mechanism. The present application can detect anomalies of control rod drive mechanisms in different types and different states.

Description

Technical Field

[0001] This invention belongs to the field of nuclear reactor control, and particularly relates to a method and system for detecting abnormal motion states of a nuclear reactor control rod drive mechanism. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] The control rod drive mechanism is a crucial component of a nuclear reactor. It serves as a control mechanism within the reactor control and safety systems of a nuclear power plant and is one of the devices directly impacting the normal operation and safety of the reactor. The control rod drive mechanism primarily relies on the sequential operation of three sets of coils to insert and elevate the control rod assemblies, thereby controlling the average core temperature to achieve safe reactor startup, reactor power regulation, and shutdown.

[0004] The inventors discovered that traditional methods are often only applicable to specific control rod drive mechanisms. When the mechanism's parameters or the surrounding environment change, traditional testing methods are no longer suitable. Summary of the Invention

[0005] To address the technical problems mentioned above, this invention provides a method and system for detecting abnormal motion states of control rod drive mechanisms in nuclear reactors. This method can detect abnormalities in control rod drive mechanisms of different models and under different conditions, overcoming the problem that traditional threshold detection cannot adjust indicators in real time. By using historical data indicators as the judgment threshold, it is both universal and does not require subjective setting.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] The first aspect of the present invention provides a method for detecting abnormal motion status of a nuclear reactor control rod drive mechanism.

[0008] A method for detecting abnormal motion states of a nuclear reactor control rod drive mechanism, comprising:

[0009] The original current signal of the control rod drive mechanism is filtered to extract the quasi-periodic current signal;

[0010] The periodic current signal is normalized, and then the reference period is extracted based on the principle of maximum similarity.

[0011] The similarity distance between the current signal of the current reference period and the time-averaged waveform curve is calculated to obtain the anomaly score curve. Then, the health status of the current signal of the current reference period is judged by hypothesis testing, and finally the dynamic anomaly monitoring of the control rod drive mechanism is realized.

[0012] The extraction process for the time-averaged waveform curve is as follows:

[0013] Construct the loss matrix of the quasi-period relative to the reference period, and determine the corresponding original bending path;

[0014] The original bending path is calibrated to a common average time range using linear interpolation to obtain the corrected bending path.

[0015] Based on the sequence correspondence of the corrected bending path, the quasi-period is mapped to the common time domain, and the time-averaged waveform curve is calculated.

[0016] As one implementation method, it is assumed that when the operating state of the control rod drive mechanism does not change in the previous several cycles, the corresponding sequences of the abnormality score curves are independent of each other and follow a normal distribution. The 3σ criterion is used to determine whether the state of the control rod drive mechanism is abnormal at the current moment.

[0017] The advantage of the above scheme is that it enables online monitoring of the motion status of the nuclear reactor control rod drive mechanism.

[0018] As one implementation method, the process of extracting the reference period based on the principle of maximum similarity is as follows:

[0019] All captured quasi-periodic current signals are used as the reference period;

[0020] Using other sequences as the remaining period, calculate the total similarity between the remaining period and all quasi-periodic current signals as reference periods;

[0021] The quasi-period corresponding to the highest total similarity is selected as the reference period.

[0022] The advantage of the above scheme is that the selected reference period can encompass the characteristics of the signal to the greatest extent, thereby improving the accuracy of the detection results of abnormal motion status of the nuclear reactor control rod drive mechanism.

[0023] As one implementation method, similarity is based on the dynamic time warping algorithm to measure the time series corresponding to two normalized quasi-periodic current signals of different lengths.

[0024] As one implementation method, the process of intercepting the quasi-periodic current signal is as follows:

[0025] Continuously acquire the filtered current signal of the control rod drive mechanism, and set the signal interception flag to 1;

[0026] When the amplitude of the coil current signal is greater than the high-level current and the signal truncation flag is 1, current signal truncation begins, and the signal truncation flag is set to 0. The process ends when the current value is again at a high level and the number of truncation data points exceeds a preset limit, ensuring that the pit signal is captured. This method allows for the capture of a relatively complete current pit signal.

[0027] As one implementation method, during the filtering process, a bandpass filter is used to perform bandpass filtering on the original current signal of the control rod drive mechanism.

[0028] A second aspect of the present invention provides a system for detecting abnormal motion status of a nuclear reactor control rod drive mechanism.

[0029] A nuclear reactor control rod drive mechanism motion state abnormality detection system, comprising:

[0030] The raw current signal processing module is used to filter the raw current signal of the control rod drive mechanism and extract the quasi-periodic current signal.

[0031] The reference period extraction module is used to normalize the periodic current signal and then extract the reference period based on the principle of maximum similarity.

[0032] The dynamic anomaly monitoring module is used to calculate the similarity distance between the current signal of the current reference cycle and the time-averaged waveform curve to obtain the anomaly score curve. Then, it uses hypothesis testing to determine the health status of the current signal of the current reference cycle, and finally realizes dynamic anomaly monitoring of the control rod drive mechanism.

[0033] The extraction process for the time-averaged waveform curve is as follows:

[0034] Construct the loss matrix of the quasi-period relative to the reference period, and determine the corresponding original bending path;

[0035] The original bending path is calibrated to a common average time range using linear interpolation to obtain the corrected bending path.

[0036] Based on the sequence correspondence of the corrected bending path, the quasi-period is mapped to the common time domain, and the time-averaged waveform curve is calculated.

[0037] As one implementation method, in the dynamic anomaly monitoring module, assuming that the operating state of the control rod drive mechanism has not changed in the previous several cycles, the corresponding sequences of the anomaly score curves are independent of each other and follow a normal distribution. The 3σ criterion is used to determine whether the state of the control rod drive mechanism is abnormal at the current moment.

[0038] As one implementation method, in the reference period extraction module, the process of extracting the reference period based on the principle of maximum similarity is as follows:

[0039] All captured quasi-periodic current signals are used as the reference period;

[0040] Using other sequences as the remaining period, calculate the total similarity between the remaining period and all quasi-periodic current signals as reference periods;

[0041] The quasi-period corresponding to the highest total similarity is selected as the reference period.

[0042] A third aspect of the present invention provides a computer-readable storage medium.

[0043] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the above-described method for detecting abnormal motion states of a nuclear reactor control rod drive mechanism.

[0044] A fourth aspect of the present invention provides an electronic device.

[0045] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in the above-described method for detecting abnormal motion states of a nuclear reactor control rod drive mechanism.

[0046] Compared with the prior art, the beneficial effects of the present invention are:

[0047] The present invention provides a method for detecting abnormal motion states of a nuclear reactor control rod drive mechanism. By optimizing the original bending path to obtain a time-averaged waveform curve, calculating the similarity distance between the current signal of the current period and the time-averaged waveform curve, an abnormal monitoring and judgment standard is established, an abnormality score curve is obtained, and finally, hypothesis testing is used to determine the health status of the current signal of the current period. This method achieves the effect of online real-time abnormal monitoring of the dynamics of the control rod drive mechanism.

[0048] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0049] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0050] Figure 1 This is a flowchart of the method for detecting abnormal motion status of the nuclear reactor control rod drive mechanism according to an embodiment of the present invention;

[0051] Figure 2 This is a control rod drive mechanism according to an embodiment of the present invention;

[0052] Figure 3 This is a current signal spectrum diagram according to an embodiment of the present invention;

[0053] Figure 4 This is the optimal curved path matching according to an embodiment of the present invention;

[0054] Figure 5 This is a waveform diagram of the current interception period signal of the control rod drive mechanism according to an embodiment of the present invention;

[0055] Figure 6 This invention relates to an online detection of abnormal current in the control rod drive mechanism.

[0056] Figure 7 This is the abnormal current data segment of the control rod drive mechanism in this embodiment of the invention. Detailed Implementation

[0057] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0058] It should be noted that the following detailed description is illustrative and intended to provide further explanation of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0059] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0060] Example 1

[0061] The specific structure of the nuclear reactor control rod drive mechanism is an existing structure, such as... Figure 2 As shown.

[0062] The coil in the control rod drive mechanism can be equivalent to an electromagnet, and the electromagnet's attraction force F can be obtained from the formula. c for:

[0063]

[0064] Where I is the current, W is the magnetic flux, μ0 is the air permeability, δ is the gap, S1 is area 1, S2 is area 2, and C is the total coefficient.

[0065] The above formula shows that the electromagnet's attraction force is positively correlated with the square of the coil current and inversely proportional to the square of the electromagnet gap. Therefore, when analyzing the coil current signal, the current of the control rod drive mechanism can be used to determine its current state.

[0066] according to Figure 1 As shown in the figure, this embodiment provides a method for detecting abnormal motion states of a nuclear reactor control rod drive mechanism, which specifically includes the following steps:

[0067] Step 1: Filter the original current signal of the control rod drive mechanism to extract the quasi-periodic current signal.

[0068] like Figure 3 As shown, the actual current signal of the control rod drive mechanism contains a large amount of noise signal. The noise signal is mainly concentrated at 150HZ, 300HZ, and 450HZ. The reason for the noise signal is that harmonics are generated after the three-phase signal passes through the half-wave rectifier. The frequency of the harmonics is 3N times that of the original signal frequency.

[0069] Therefore, during the filtering process, a bandpass filter is used to perform bandpass filtering on the original current signal of the control rod drive mechanism.

[0070] In the specific implementation process, in order to monitor the pits in the coil and reduce the influence of other stages on the current pits, the process of intercepting the quasi-periodic current signal is as follows:

[0071] Continuously acquire the filtered current signal of the control rod drive mechanism, and set the signal interception flag to 1;

[0072] When the amplitude of the coil current signal is greater than the high-level current and the signal interception flag is 1, the current signal is intercepted, and the signal interception flag is set to 0. The interception ends when the current value is high again and the number of intercepted data points is greater than the preset number (e.g., 200), so as to ensure that the pit signal is intercepted.

[0073] The intercepted current signal can be regarded as a quasi-periodic signal H i The time-averaging curve can be found in the signal.

[0074]

[0075] In the above formula, ε i The error between the i-th period and the time average curve is denoted as .

[0076] Step 2: Normalize the periodic current signal and then extract the reference period based on the principle of maximum similarity.

[0077] In step 2, the obtained current signal will have certain amplitude fluctuations between different periods. In order to eliminate the adverse effects caused by singular sample data, the obtained signal is standardized to obtain standardized data of the pit signal.

[0078] The process of normalizing the periodic current signal is as follows:

[0079]

[0080] In the formula: i∈{1,n}, min and max represent the minimum and maximum values, respectively.

[0081] In this embodiment, similarity is measured using the Dynamic Time Warping (DTW) algorithm to determine the time series corresponding to two normalized quasi-periodic current signals of different lengths. The DTW algorithm stretches or shrinks (compresses) the unknown quantity until it matches the length of the reference template. During this process, the unknown sequence will be distorted or bent so that its features correspond to the standard pattern.

[0082] Take two sets of quasi-periodic signal sequences: H i (t x H j (t y Given the given signal sequences {1≤x≤m, 1≤y≤n}, where x and y are the lengths of the two sets of signal sequences respectively, the single-point distance matrix C between the quasi-periodic signals is expressed as:

[0083]

[0084] Where d (i，j) This refers to the distance between two sets of sequences, usually calculated using the Euclidean distance, i.e.

[0085] The similarity distance between signals is calculated based on the distance matrix C. DTW(m,n) is also called DTW similarity distance.

[0086] All captured quasi-periodic current signals are used as the reference period;

[0087] Using other sequences as the remaining period, calculate the total similarity between the remaining period and all quasi-periodic current signals as reference periods;

[0088] The quasi-period corresponding to the highest total similarity is selected as the reference period.

[0089] Specifically, the process of extracting the reference period based on the principle of maximum similarity:

[0090] (1) All H i , i∈{1,n} is used as the reference period;

[0091] (2) Treat the other sequences as the remaining period, denoted as H. j Let j∈{1, n}, j≠i, and calculate H. i The value of total similarity h when used as a reference period i , i∈{1, n}, where D dtw The above similarity distance calculation method:

[0092]

[0093] (3) In order to ensure that all features near the pits of normal signals are included, the maximum total similarity h is selected. i The corresponding period H i Reference period H e :

[0094] Step 3: Calculate the similarity distance between the current signal of the current reference cycle and the time-averaged waveform curve to obtain the anomaly score curve. Then, determine the health status of the current signal of the current reference cycle through hypothesis testing, and finally realize the dynamic anomaly monitoring of the control rod drive mechanism.

[0095] Specifically, assuming that the operating state of the control rod drive mechanism remains unchanged in the previous few cycles, the corresponding sequences of the abnormality score curves are independent of each other and follow a normal distribution. The 3σ criterion is used to determine whether the state of the control rod drive mechanism is abnormal at the current moment.

[0096] In step 3, the extraction process of the time-averaged waveform curve is as follows:

[0097] Construct the loss matrix of the quasi-period relative to the reference period, and determine the corresponding original bending path;

[0098] The original bending path is calibrated to a common average time range using linear interpolation to obtain the corrected bending path.

[0099] Based on the sequence correspondence of the corrected bending path, the quasi-period is mapped to the common time domain, and the time-averaged waveform curve is calculated.

[0100] Specifically, the steps for generating a time-averaged curve for the current signal are as follows:

[0101] (1) Construct H i Relative to H e The loss matrix (reference period / template) is used to determine the corresponding original bending path h. i (t), 1≤t≤K i ;

[0102] (2) h i (t) calibrated to a common average time range via linear interpolation. Obtain the path to correct the curvature

[0103] (3) Based on u i The sequence correspondence of (t) will be used to determine H. i Mapping to a common time domain Calculate the time-averaged curve

[0104]

[0105] To facilitate the display of the matching effect between curves Figure 4 The average curve amplitude is increased by an additional 0.1mA. Figure 4 The image shows the matching process between the current curve and the average curve.

[0106] To achieve anomaly monitoring of the control rod drive mechanism, it is necessary to calculate the similarity distance s between the abnormal signal and the normal signal. n+1 =D dtw (H i |{H1, H2, ..., H n});

[0107] In the formula s n+1 This is called the anomaly score, which is the similarity distance between the current signal and historical signals. Since {H1, H2, ..., H...} n A time-averaging curve can be used. Instead, the above formula can also be written as:

[0108]

[0109] Assuming the operating state of the control rod drive mechanism remains unchanged for the first n cycles, the corresponding abnormal score sequence {s1, s2, ..., s} is... n They are independent and follow a normal distribution. By judging whether the current state of the control rod drive mechanism is abnormal based on the 3σ criterion, an abnormal decision can be made.

[0110] The above method was used to monitor the current signal of the nuclear reactor control rod drive mechanism online. A total of 177 sets of data were detected, and the 32nd set was abnormal data (no pitting current signal). Figure 5 and Figure 6 The diagrams show the captured current signal waveforms and the online anomaly detection, clearly demonstrating that abnormal data was accurately detected. Figure 7 This is the amplified data segment of abnormal current in the control rod drive mechanism; signal group 32 is the abnormal current signal.

[0111] This embodiment is a method for detecting abnormal motion states of the control rod drive mechanism in a nuclear reactor. By optimizing the original bending path, the historical average waveform curve is obtained, and an abnormality monitoring and judgment criteria are established, thereby realizing online real-time abnormality monitoring.

[0112] Example 2

[0113] This embodiment provides a nuclear reactor control rod drive mechanism motion state abnormality detection system, which specifically includes the following modules:

[0114] (1) The original current signal processing module is used to filter the original current signal of the control rod drive mechanism and extract the quasi-periodic current signal.

[0115] In the filtering process, a bandpass filter is used to perform bandpass filtering on the original current signal of the control rod drive mechanism.

[0116] Specifically, the process of intercepting the quasi-periodic current signal is as follows:

[0117] Continuously acquire the filtered current signal of the control rod drive mechanism, and set the signal interception flag to 1;

[0118] When the amplitude of the coil current signal is greater than the high-level current and the signal interception flag is 1, the current signal is intercepted, and the signal interception flag is set to 0. The interception ends when the current value is high again and the number of intercepted data points is greater than the preset number, so as to ensure that the pit signal is intercepted.

[0119] (2) Reference period extraction module, which is used to normalize the periodic current signal and then extract the reference period based on the principle of maximum similarity.

[0120] In practice, the process of extracting the reference period based on the principle of maximum similarity is as follows:

[0121] All captured quasi-periodic current signals are used as the reference period;

[0122] Using other sequences as the remaining period, calculate the total similarity between the remaining period and all quasi-periodic current signals as reference periods;

[0123] The quasi-period corresponding to the highest total similarity is selected as the reference period.

[0124] The similarity is based on the dynamic time warping algorithm to measure the time series corresponding to two normalized quasi-periodic current signals of different lengths.

[0125] (3) Dynamic anomaly monitoring module, which is used to calculate the similarity distance between the current signal of the current reference cycle and the time average waveform curve, obtain the anomaly score curve, and then judge the health status of the current signal of the current reference cycle through hypothesis testing, and finally realize the dynamic anomaly monitoring of the control rod drive mechanism.

[0126] The extraction process for the time-averaged waveform curve is as follows:

[0127] Construct the loss matrix of the quasi-period relative to the reference period, and determine the corresponding original bending path;

[0128] The original bending path is calibrated to a common average time range using linear interpolation to obtain the corrected bending path.

[0129] Based on the sequence correspondence of the corrected bending path, the quasi-period is mapped to the common time domain, and the time-averaged waveform curve is calculated.

[0130] It should be noted that each module in this embodiment corresponds one-to-one with each step in Embodiment 1, and their specific implementation processes are the same, so they will not be repeated here.

[0131] Example 3

[0132] This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in the above-described method for detecting abnormal motion states of a nuclear reactor control rod drive mechanism.

[0133] Example 4

[0134] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in the above-described method for detecting abnormal motion states of a nuclear reactor control rod drive mechanism.

[0135] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, as well as combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0136] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for detecting abnormal motion status of a nuclear reactor control rod drive mechanism, characterized in that, include: The original current signal of the control rod drive mechanism is filtered to extract the quasi-periodic current signal; The process of intercepting the quasi-periodic current signal is as follows: Continuously acquire the filtered current signal of the control rod drive mechanism, and set the signal interception flag to 1; When the amplitude of the coil current signal is greater than the high-level current and the signal interception flag is 1, the current signal is intercepted, and the signal interception flag is set to 0. The interception ends when the current value is high again and the number of intercepted data points is greater than the preset number, so as to ensure that the pit signal is intercepted. The periodic current signal is normalized, and then the reference period is extracted based on the principle of maximum similarity. The process of normalizing the periodic current signal is as follows: In the formula: , and These represent the minimum and maximum values, respectively. The process of extracting the reference period based on the principle of maximum similarity is as follows: All captured quasi-periodic current signals are used as the reference period; Using other sequences as the remaining period, calculate the total similarity between the remaining period and all quasi-periodic current signals as reference periods; The quasi-period corresponding to the highest total similarity is selected as the reference period; The similarity distance between the current signal of the current reference period and the time-averaged waveform curve is calculated to obtain the anomaly score curve. Then, the health status of the current signal of the current reference period is judged by hypothesis testing, and finally the dynamic anomaly monitoring of the control rod drive mechanism is realized. The hypothesis testing process is as follows: Assuming that the operating state of the control rod drive mechanism remains unchanged for the first few cycles, the corresponding sequences of the anomaly score curves are independent and follow a normal distribution. Based on... The criteria determine whether the current state of the control rod drive mechanism is abnormal; The extraction process for the time-averaged waveform curve is as follows: Construct the loss matrix of the quasi-period relative to the reference period, and determine the corresponding original bending path; The original bending path is calibrated to a common average time range using linear interpolation to obtain the corrected bending path; Based on the sequence correspondence of the corrected bending path, the quasi-period is mapped to the common time domain, and the time-averaged waveform curve is calculated.

2. The method for detecting abnormal motion status of a nuclear reactor control rod drive mechanism as described in claim 1, characterized in that, Similarity is measured by the dynamic time warping algorithm to determine the time series corresponding to two normalized quasi-periodic current signals of different lengths.

3. The method for detecting abnormal motion status of a nuclear reactor control rod drive mechanism as described in claim 1, characterized in that, During the filtering process, a bandpass filter is used to perform bandpass filtering on the original current signal of the control rod drive mechanism.

4. A system for detecting abnormal motion status of a nuclear reactor control rod drive mechanism, characterized in that, include: The raw current signal processing module is used to filter the raw current signal of the control rod drive mechanism and extract the quasi-periodic current signal. The process of intercepting the quasi-periodic current signal is as follows: Continuously acquire the filtered current signal of the control rod drive mechanism, and set the signal interception flag to 1; When the amplitude of the coil current signal is greater than the high-level current and the signal interception flag is 1, the current signal is intercepted, and the signal interception flag is set to 0. The interception ends when the current value is high again and the number of intercepted data points is greater than the preset number, so as to ensure that the pit signal is intercepted. The reference period extraction module is used to normalize the periodic current signal and then extract the reference period based on the principle of maximum similarity. The process of normalizing the periodic current signal is as follows: In the formula: , and These represent the minimum and maximum values, respectively. The process of extracting the reference period based on the principle of maximum similarity is as follows: All captured quasi-periodic current signals are used as the reference period; Using other sequences as the remaining period, calculate the total similarity between the remaining period and all quasi-periodic current signals as reference periods; The quasi-period corresponding to the largest total similarity is selected as the reference period; the dynamic anomaly monitoring module is used to calculate the similarity distance between the current signal of the current reference period and the time-averaged waveform curve to obtain the anomaly score curve, and then judge the health status of the current signal of the current reference period through hypothesis testing, so as to realize the dynamic anomaly monitoring of the control rod drive mechanism. The hypothesis testing process is as follows: Assuming that the operating state of the control rod drive mechanism remains unchanged for the first few cycles, the corresponding sequences of the anomaly score curves are independent and follow a normal distribution. Based on... The criteria determine whether the current state of the control rod drive mechanism is abnormal; The extraction process for the time-averaged waveform curve is as follows: Construct the loss matrix of the quasi-period relative to the reference period, and determine the corresponding original bending path; The original bending path is calibrated to a common average time range using linear interpolation to obtain the corrected bending path; Based on the sequence correspondence of the corrected bending path, the quasi-period is mapped to the common time domain, and the time-averaged waveform curve is calculated.

5. The nuclear reactor control rod drive mechanism motion state abnormality detection system as described in claim 4, characterized in that, Similarity is measured by the dynamic time warping algorithm to determine the time series corresponding to two normalized quasi-periodic current signals of different lengths.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps in the method for detecting abnormal motion status of the nuclear reactor control rod drive mechanism as described in any one of claims 1-3.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps in the method for detecting abnormal motion status of the nuclear reactor control rod drive mechanism as described in any one of claims 1-3.

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