Automatic identification method, system, computer equipment and storage medium for nuclear power plant fluctuation transients

Abstract

The present invention discloses a method for automatically identifying fluctuating transients in nuclear power plants, comprising the following steps: obtaining a relative temperature change curve of a nozzle and performing peak-valley value detection on the relative temperature change curve; demarcating peak-valley value combination intervals on the relative temperature change curve using the peak-valley values as demarcation points; using a transient threshold to judge the peak-valley value combination intervals; and using a threshold window method to perform detailed judgment on peak-valley value combination intervals that meet preset conditions, ultimately outputting an automatic identification result. The present invention is beneficial in that the method for automatically identifying fluctuating transients in nuclear power plants can quickly and accurately identify various types of complex fluctuating transients, especially fluctuating transients with large time intervals, and can accurately determine the start and end times of the transients. Compared with existing manual identification methods, the method outputs richer results while significantly improving work efficiency and enhancing the reliability of the results.

Description

Technical Field

[0001] The present invention relates to the technical field of nuclear power plant performance testing, and in particular to an automatic identification method for nuclear power plant fluctuation transients. Background Art

[0002] During nuclear power plant operation, changes in unit operating conditions often generate transients, which can cause fatigue damage to primary circuit equipment. To prevent primary circuit pressure boundary strength damage and fatigue failure, nuclear power plants employ a method known as transient statistics, based on standard transients based on system design benchmarks, to indirectly monitor the stress and lifespan of primary circuit equipment and piping.

[0003] Fluctuating transients typically occur at the nozzles connecting the primary auxiliary system to the reactor coolant system piping. Fluctuating transients are characterized by rapid temperature change, large amplitude, and rapid consumption, causing severe impact and damage to related equipment and components. They also feature complex temperature curves and the occurrence of multiple transients in succession, making them difficult to identify and statistically analyze. Therefore, they are transients that require special attention during nuclear power plant operations.

[0004] However, current transient management at domestic nuclear power plants relies primarily on manual identification and statistics, lacking automated identification methods. With the increasing number of units in service and the extension of their operating life, the volume of transient data is growing annually. Fluctuating transients often occur continuously, making them challenging to identify. This leads to increasingly significant problems with manual identification, including reduced identification efficiency, the susceptibility to human error, and limited transient information, making it difficult to achieve rapid, reliable identification and accurate statistics of transients. Summary of the Invention

[0005] In view of this, in order to overcome the defects of the prior art, the object of the present invention is to provide a method for automatically identifying fluctuation transients in nuclear power plants.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] A method for automatically identifying transient fluctuations in a nuclear power plant comprises the following steps:

[0008] The relative temperature change curve of the nozzle is obtained, and the peak-valley value detection is performed on the relative temperature change curve; the peak-valley value combination interval on the relative temperature change curve is delineated with the peak-valley value as the dividing point, the transient threshold is used to judge the peak-valley value combination interval, and the threshold window method is used to perform detailed judgment on the peak-valley value combination interval that meets the preset conditions, and finally the automatic recognition result is output.

[0009] According to some preferred implementation aspects of the present invention, the step of using a transient threshold to judge the peak-valley value combination interval is as follows: extracting characteristic parameters within the peak-valley value combination interval; obtaining a transient temperature threshold T according to the fatigue analysis results of the metal components of the nuclear power plant; 阈值 and time threshold t 阈值 Determine whether transients occur within each peak-valley value combination interval.

[0010] According to some preferred implementation aspects of the present invention, the characteristic parameters include the temperature difference ΔT, the time difference Δt, the temperature rise and the temperature drop of the combined interval.

[0011] According to some preferred implementation aspects of the present invention, according to the temperature threshold T 阈值 and time threshold t 阈值 The specific steps for determining whether transient occurs in each peak-valley value combination interval are as follows:

[0012] First, determine whether each combined interval segment meets the first preset condition. If not, it can be directly determined that no transient occurs in the combined interval;

[0013] If the first preset condition is met, then continue to determine whether each combined interval segment meets the second preset condition. If not, it can be directly determined that a transient occurs in the combined interval, and the transient start time and transient end time as well as the corresponding temperature value and temperature difference are output at the same time;

[0014] If the second preset condition is met, the threshold window method is used for detailed judgment.

[0015] According to some preferred implementation aspects of the present invention, the first preset condition is that the temperature difference ΔT of the combined interval is greater than or equal to the temperature threshold T 阈值 The second preset condition is that the time difference Δt of the combined interval is greater than the time threshold t 阈值 .

[0016] According to some preferred implementation aspects of the present invention, the preset condition is that the temperature difference ΔT of the peak-valley value combination interval exceeds the temperature threshold T 阈值 , and the time difference Δt exceeds the time threshold t 阈值 .

[0017] According to some preferred implementation aspects of the present invention, the detailed judgment is to use the threshold window method to select a time threshold t after each temperature point t0. 阈值 The interval (t0, t0+t 阈值 ), sequentially traverse all temperature points in the interval to find the maximum and minimum values of the temperature points in the interval, and at the same time determine whether the third preset condition is met;

[0018] If the third preset condition is met, it indicates that a transient occurs in the interval, and the preliminary transient start time and transient end time as well as the corresponding temperature value and temperature difference are output; if the third preset condition is not met, no transient occurs in the interval.

[0019] According to some preferred implementation aspects of the present invention, the third preset condition is that the maximum value minus the minimum value of the interval temperature point is greater than or equal to a set transient temperature threshold.

[0020] According to some preferred implementation aspects of the present invention, the detailed determination further includes determining whether the output preliminary transient time intervals have an intersection, and determining whether the time intervals of adjacent transients meet a fourth preset condition;

[0021] If the fourth preset condition is met, it indicates that there is an intersection between adjacent transient time intervals, and the two time intervals need to be merged, and the merged transient start time and transient end time as well as the corresponding temperature value and temperature difference are output;

[0022] If the fourth preset condition is not met, the transient intervals do not need to be merged, and the transient start time and transient end time as well as the corresponding temperature values and temperature differences remain unchanged.

[0023] According to some preferred implementation aspects of the present invention, the fourth preset condition is that the end time of the previous transient state is greater than the start time of the next transient state.

[0024] According to some preferred implementation aspects of the present invention, the starting time of the merged transient remains unchanged, the ending time is changed to the ending time of the next transient, and all transient time intervals are traversed.

[0025] According to some preferred implementation aspects of the present invention, the output automatic identification result is the result of judging the peak-valley value combination interval based on the transient threshold and the result of detailed judgment based on the threshold window method, and outputs the final start and end times of all transients and the corresponding temperature values and temperature differences.

[0026] According to some preferred embodiments of the present invention, the nozzle relative temperature change curve is obtained by the following steps: obtaining the reactor coolant system pipeline temperature data and the temperature data of the nozzle where the primary auxiliary system is connected to the reactor coolant system pipeline in the unit operation temperature monitoring data, calculating the nozzle relative temperature change data of the primary auxiliary system and generating the nozzle relative temperature change curve.

[0027] According to some preferred implementation aspects of the present invention, while performing peak and valley detection on the nozzle relative temperature change curve, a temperature threshold is set and points below the temperature threshold are considered as invalid temperature fluctuations and are eliminated.

[0028] According to some preferred implementation aspects of the present invention, the method for detecting peak and valley values is as follows:

[0029] Read three points on the relative temperature change curve of the nozzle in sequence. Set the first point as the reference point, which is also the confirmed peak and valley value point, represented by T0. The second point is the potential peak and valley value point, represented by T1. The third point is the data point after T1, represented by T2.

[0030] Set the fifth preset condition. If the fifth preset condition is met, it indicates that the relative temperature change curve is in a normal growth trend. Update T1 and T2 in sequence, and update the potential peak and valley value points at the same time and re-judge.

[0031] If the fifth preset condition is not met, it indicates that the relative temperature change curve is abnormally growing or not growing, and a sixth preset condition is further set to determine whether the sixth preset condition is met;

[0032] If the sixth preset condition is met, the potential peak-valley point T1 is a peak-valley value, and is added to the peak-valley point array extrem(i), while T0, T1, and T2 are updated;

[0033] If the sixth preset condition is not met, only T2 is updated and the judgment is made again, and the final complete extrem(i) sequence is obtained after traversing all temperature points on the nozzle relative temperature change curve.

[0034] According to some preferred implementation aspects of the present invention, the fifth preset condition is L-20>L-10 and L-20≥L-21;

[0035] Where L-10 is the distance between T1 and T0;

[0036] L-20 is the distance between T2 and T0;

[0037] L-21 is the distance between T2 and T1.

[0038] According to some preferred implementation aspects of the present invention, the sixth preset condition is that the distance L-21 between T2 and T1 is ≥ Delta, where Delta is the transient temperature threshold value T 阈值 and invalid fluctuation amplitude on temperature change curve (T 无效波动幅度 ) set the peak-valley threshold (T 无效波动幅度 <Delta≤T 阈值 ), the distance between T2 and T1 is greater than or equal to the threshold value and is determined to be a peak-valley point.

[0039] The present invention also provides an automatic recognition system for nuclear power plant fluctuation transients, comprising:

[0040] A data acquisition module is used to acquire the reactor coolant system pipeline temperature data and the temperature data of the nozzle connecting the primary loop auxiliary system and the reactor coolant system pipeline from the unit operation temperature monitoring data;

[0041] The processing module is used to obtain the relative temperature change curve of the nozzle and perform peak-valley value detection on the relative temperature change curve; use the peak-valley value as the dividing point to delineate the peak-valley value combination interval on the relative temperature change curve, use the transient threshold to judge the peak-valley value combination interval, and use the threshold window method to make detailed judgment on the peak-valley value combination interval that cannot be determined, and finally output the automatic recognition result.

[0042] The present invention also provides a computer device comprising a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory to implement the steps of the method for automatically identifying fluctuation transients in nuclear power plants as described above.

[0043] The present invention also provides a computer-readable medium having a computer program stored thereon, which is used to implement the steps of the method for automatically identifying fluctuation transients in nuclear power plants as described above when the computer program is executed by a processor.

[0044] Due to the adoption of the above technical solution, compared with the existing technology, the benefits of the present invention are: the automatic identification method of nuclear power plant fluctuation transients of the present invention can quickly and accurately realize the automatic identification of various complex fluctuation transients, especially fluctuation transients in large time intervals, and can accurately judge the start and end times of the transients. The output results are richer than the existing manual identification mode, and can significantly improve work efficiency and enhance the reliability of the results. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. 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 creative work.

[0046] Figure 1 A schematic flow chart of a method for automatically identifying transient fluctuations in a nuclear power plant in a preferred embodiment of the present invention;

[0047] Figure 2 The relative temperature change curve of the nozzle obtained in the preferred embodiment of the present invention;

[0048] Figure 3 is the peak-to-valley value on the nozzle relative temperature change curve in the preferred embodiment of the present invention;

[0049] Figure 4is a transient time interval point on the nozzle relative temperature change curve in the preferred embodiment of the present invention;

[0050] Figure 5 Schematic diagram of the automatic identification system structure in a preferred embodiment of the present invention. DETAILED DESCRIPTION

[0051] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings 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 making creative efforts should fall within the scope of protection of the present invention.

[0052] The present invention aims to provide a method for automatically identifying fluctuating transients in nuclear power plants. This method automatically identifies fluctuating transients in nuclear power plants and outputs information such as the start and end times of the transient, as well as the corresponding start and end temperatures, thereby improving the efficiency and reliability of transient management. The present invention employs the following technical solutions: a nozzle relative temperature change curve is calculated, peaks and valleys on the relative temperature change curve are detected, and the peaks and valleys are used as demarcation points to define monotonic change intervals on the temperature monitoring curve. A transient threshold is used to quickly determine the monotonic intervals, and a threshold window is used to perform detailed determinations on the remaining monotonic intervals. Finally, the automatic identification results are output.

[0053] Specifically, the method for automatically identifying transient fluctuations in a nuclear power plant in this embodiment includes the following steps:

[0054] Step (1): Obtain the relative temperature change curve of the nozzle

[0055] Obtain the reactor coolant system pipe temperature data (T p ) and the temperature data of the nozzle where the primary auxiliary system is connected to the reactor coolant system pipe (T a ). By reading T a and T p , automatically calculate the relative temperature change data of the nozzle of the auxiliary system of the first circuit (T p -T a ) and generate the relative temperature change curve of the nozzle, thereby improving the accuracy and efficiency of automatic recognition.

[0056] Step (2): Detect the peak and valley values of the relative temperature change curve and filter out invalid fluctuations simultaneously.

[0057] By introducing the peak-valley threshold judgment condition, peak-valley detection and invalid fluctuation elimination on the relative temperature change curve are realized simultaneously to improve efficiency. The peak-valley detection of the relative temperature change curve ultimately outputs the peak-valley point sequence extrem(i) consisting of peak-valley points.

[0058] The peak-valley value detection method is as follows: read three points on the relative temperature change curve of the nozzle in sequence, set the first point as the reference point, which is also the confirmed peak-valley value point, represented by T(0), the second point is the "potential peak-valley value point", represented by T(1), and the third point is the data point after T(1), represented by T(2).

[0059] First calculate the distance between the three points on the relative temperature change curve of the nozzle:

[0060] L-10: distance between T(1) and T(0);

[0061] L-20: distance between T(2) and T(0);

[0062] L-21: The distance between T(2) and T(1).

[0063] Determine whether the conditions "(L_20>L_10) and (L_20≥L_21)" are met;

[0064] If it is true (satisfied), it indicates that the relative temperature change curve is in a normal growth trend, and T(1) and T(2) are updated in sequence. At the same time, the potential peak and valley value points are updated and re-judged.

[0065] If not, it indicates that the relative temperature change curve is abnormally growing or not growing, and further judge whether the condition "L_21 ≥ Delta" is met, where Delta is the transient temperature threshold T according to the fluctuation. 阈值 and invalid fluctuation amplitude on temperature change curve (T 无效波动幅度 ) is set as the peak-valley value threshold. The distance between T(2) and T(1) is greater than or equal to the threshold value to be determined as a peak-valley value point. At the same time, by setting the threshold, points less than the threshold value can be regarded as invalid temperature fluctuations and eliminated.

[0066] If the condition "L_21≥Delta" is met, the potential peak-valley point T(1) is the peak-valley value and is added to the extrem(i) sequence, while T(0), T(1) and T(2) are updated.

[0067] If not, only T(2) is updated and the judgment is repeated. After traversing all temperature points, the complete extrem(i) sequence is finally obtained.

[0068] Step (3) Delimiting the peak-valley value combination interval on the relative temperature change curve using the peak-valley value as the dividing point

[0069] Adjacent peak-valley values are combined in pairs to obtain the peak-valley value combination interval, and the characteristic parameters within the peak-valley value combination interval are extracted, including temperature difference (ΔT), time difference (Δt), and temperature rise and fall in the interval segment.

[0070] Adjacent peak-valley values are combined in pairs according to the sequence of extrem(i) to obtain the temperature monotonically changing combination interval. At the same time, the temperature characteristic parameters of the interval segment are extracted, including temperature difference (ΔT), time difference (Δt), temperature rise and fall.

[0071] Step (4): Use transient threshold to judge the peak-valley value combination interval

[0072] According to the fatigue analysis results of metal components in nuclear power plants, the transient temperature threshold (T 阈值 ) and time threshold (t 阈值 ) Quickly determine whether transient occurs in each peak-to-valley value combination interval.

[0073] The specific steps are:

[0074] First, determine whether each peak-valley value combination meets the condition "ΔT≥T 阈值 ", if it is not satisfied, it can be directly determined that no transient occurs in the combination interval.

[0075] If true (satisfied), then continue to judge whether "Δt>t 阈值 ", if "Δt>t 阈值 ", it can be directly determined that a transient occurs in the combined interval, and the transient start time and transient end time as well as the corresponding temperature value and temperature difference are output at the same time.

[0076] If "Δt>t 阈值 ", then the threshold window method needs to be used for the next detailed judgment.

[0077] Step (5): Use the threshold window method for detailed judgment

[0078] For the peak-valley value combination where both the time difference and the temperature difference of the combined interval exceed the threshold, the threshold window method is used to perform detailed data scanning and output the accurate transient interval that meets the threshold conditions.

[0079] For the combined intervals that need to be judged in detail in step (4), the threshold window method is used to make detailed judgments on the data points in the combined intervals to determine the specific intervals that meet the threshold rules. Specifically:

[0080] The threshold window method is used to select a time threshold (t0) for each temperature point. 阈值 ), that is, (t0, t0+t阈值 ) interval, traverse the interval temperature points in order to find the maximum value (Max) and minimum value (Min) of the interval temperature points, and determine whether the condition "Max-Min ≥ transient temperature threshold" is met.

[0081] If it is true (satisfied), it indicates that a transient occurs in the interval and outputs the preliminary transient start time and transient end time as well as the corresponding temperature value and temperature difference; if it is not satisfied, no transient occurs.

[0082] Step (six): determine whether there is an intersection between the transient time intervals obtained by the threshold window method. If so, merge them; otherwise, do not merge them.

[0083] The start and end times of different transients output within a large interval exceeding the time threshold may overlap. Therefore, a determination is made regarding whether the initial transient time intervals output in step (5) overlap, i.e., whether the time intervals of adjacent transients satisfy the condition "the end time of the previous transient > the start time of the next transient."

[0084] If satisfied, it indicates that adjacent transient time intervals have an intersection, and the two time intervals are merged, that is, the transient start time remains unchanged, and the end time is changed to the end time of the next transient. All transient time intervals are traversed, and the merged transient start time and transient end time, as well as the corresponding temperature value and temperature difference, are output.

[0085] If not, the transient intervals do not need to be merged, and the transient start time, transient end time, and corresponding temperature values and temperature differences remain unchanged.

[0086] Step (seven): output the final starting time, ending time, and corresponding temperature values and temperature differences of all transient states on the temperature curve.

[0087] According to the results of step (4) and step (6), the final start time and end time of all transients and the corresponding temperature values and temperature differences are output, and the automatic transient recognition is completed.

[0088] The automatic identification system for nuclear power plant transient fluctuations of this embodiment includes:

[0089] A data acquisition module is used to acquire the reactor coolant system pipeline temperature data and the temperature data of the nozzle connecting the primary loop auxiliary system and the reactor coolant system pipeline from the unit operation temperature monitoring data;

[0090] The processing module is used to obtain the relative temperature change curve of the nozzle and perform peak-valley value detection on the relative temperature change curve; the peak-valley value combination interval on the relative temperature change curve is delineated with the peak-valley value as the dividing point, the transient threshold is used to judge the peak-valley value combination interval, and the threshold window method is used to make detailed judgments on the peak-valley value combination interval that cannot be determined, and finally the automatic recognition result is output.

[0091] The computer device of this embodiment includes a memory and a processor. The memory is used to store computer programs, and the processor is used to execute the computer programs stored in the memory to implement the steps of the above-mentioned method for automatically identifying nuclear power plant fluctuation transients.

[0092] The computer-readable medium of this embodiment stores a computer program thereon, and when the computer program is executed by a processor, it is used to implement the steps of the above-mentioned method for automatically identifying fluctuation transients in nuclear power plants.

[0093] Implementation Cases

[0094] like Figure 1-4 As shown, the method for automatically identifying transient fluctuations in nuclear power plants in this embodiment includes the following steps:

[0095] Step (1): Obtain nozzle relative temperature change curve

[0096] Read the transient monitoring data of the nuclear power plant, here read the reactor coolant system cold section temperature data (T p ) and the temperature data of the filling nozzle on the chemical and volume control system (T a ), and obtain the nozzle relative temperature curve (T p -T a ),like Figure 2 shown.

[0097] Step (2) Detect the peak-valley value on the relative temperature change curve of the nozzle, and use the peak-valley value as the dividing point to delineate the monotonic change interval on the relative temperature change curve.

[0098] Identify the peak and valley values on the nozzle relative temperature change curve, and the temperature threshold T of the transient fluctuation according to the fatigue analysis results of the metal components of the nuclear power plant 阈值 = 20 ° C, combined with the fluctuation amplitude of the nozzle relative temperature change curve, the peak-valley temperature threshold delta is set here to 14 ° C to filter out invalid temperature fluctuations simultaneously, and finally obtain a sequence of 12 peak-valley points extrem(i), as shown Figure 3 As shown in the points, take the time coordinate as an example:

[0099] extreme(3.42, 5.50, 6.50, 6.93, 7.86, 14.48, 16.11, 16.26, 16.46, 17.39, 20.43, 24.00).

[0100] Step (3): Combine the adjacent peak and valley values on the nozzle relative temperature change curve and extract the characteristic parameters within the combined interval.

[0101] Adjacent peak-to-valley values are combined in pairs, and the time difference and temperature difference of each pair of combinations are calculated, as shown in Table 1 below.

[0102] Table 1 Peak-valley value combination table

[0103]

[0104] Step (4): Use transient threshold to quickly judge the monotonic interval

[0105] According to the fatigue analysis results of nuclear power plant metal components, the transient temperature threshold T 阈值 =20℃, time threshold t 阈值 =1h. A preliminary judgment is made on the 11 intervals in Table 1 based on the thresholds, and the results are as follows: Combination 1 shows no transient occurrence; Combinations 2-4 and 7-9 satisfy the condition that the temperature difference is greater than the threshold and the time difference is less than or equal to the threshold, and are directly judged to have occurred transients and output the transient start and end times and corresponding temperature values; Combinations 5-6 and 10-11 satisfy the condition that the temperature difference is greater than the threshold and the time difference is also greater than the threshold, and detailed judgment is required.

[0106] Step (5): Use the threshold window to make detailed judgments on the remaining monotonic intervals.

[0107] Combinations 5-6 and 10-11 are judged in detail using the threshold window method. Combination 6 is judged not to meet the threshold conditions and no transient occurs. Combinations 5, 10, and 11 meet the transient threshold conditions and output the transient start and end times and corresponding temperature values.

[0108] Step (six): Determine whether the outputted initial transient time intervals have an intersection

[0109] A check is performed on whether the transient time intervals corresponding to combinations 5, 10, and 11 have an intersection. In this case, the transient time intervals 10 and 11 have an intersection, so they are merged.

[0110] Step (seven): Output the final transient start time and transient end time as well as the corresponding temperature value and temperature difference

[0111] Output the final transient start time and transient end time and the corresponding temperature value and temperature difference. This embodiment finally identifies 9 transient time intervals, such as Figure 4 As shown in the figure, the transient start time, end time and corresponding temperature values are shown in Table 2.

[0112] Table 2 Transient time interval and temperature information

[0113]

[0114] Furthermore, the automatic identification system for nuclear power plant transient fluctuations of this embodiment includes:

[0115] 1) Data acquisition module

[0116] Used to obtain the reactor coolant system pipeline temperature data and the temperature data of the nozzle connecting the primary loop auxiliary system and the reactor coolant system pipeline in the unit operation temperature monitoring data.

[0117] 2) Control module

[0118] Used to select and adjust the time range for automatic identification of temperature data.

[0119] 3) Processing module

[0120] It is used to obtain the relative temperature change curve of the nozzle and perform peak-valley value detection on the relative temperature change curve; the peak-valley value combination interval on the relative temperature change curve is delineated with the peak-valley value as the dividing point, the transient threshold is used to judge the peak-valley value combination interval, and the threshold window method is used to make detailed judgments on the peak-valley value combination interval that cannot be determined, and finally the automatic recognition result is output.

[0121] 4) Display module

[0122] Used to output automatic recognition results. The results are displayed in table form, including data name, transient start time, transient end time, and corresponding temperature value and temperature difference.

[0123] Based on the above embodiment, optionally, the data acquisition module includes a first acquisition module for acquiring reactor coolant system pipeline temperature data in the unit operation temperature monitoring data and a second acquisition module for acquiring temperature data at the nozzle connecting the first-loop auxiliary system and the reactor coolant system pipeline.

[0124] The automatic identification system for nuclear power plant fluctuation transients provided in this embodiment can execute the embodiment of the above-mentioned automatic identification method. Its implementation principle and technical effects are similar and will not be repeated here.

[0125] The specific definitions of the automatic identification system for nuclear power plant fluctuation transients can be found in the definitions of the automatic identification method for nuclear power plant fluctuation transients described above and will not be repeated here. Each module in the automatic identification system for nuclear power plant fluctuation transients described above can be implemented in whole or in part through software, hardware, or a combination thereof. Each of these modules can be embedded in or independent of a processor in a computer device in hardware form, or stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0126] The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for automatically identifying transient fluctuations in a nuclear power plant is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input system of the computer device can be a touch layer covering the display screen, or a key, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0127] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0128] Furthermore, the computer device of this embodiment includes a memory and a processor, the memory is used to store computer programs, and the processor is used to execute the computer programs stored in the memory to implement the steps of the above-mentioned method for automatically identifying fluctuation transients in nuclear power plants.

[0129] The computer device provided in the above embodiment has similar implementation principles and technical effects to those of the above embodiment of the method for automatically identifying transient fluctuations in nuclear power plants, and will not be described in detail here.

[0130] Furthermore, the computer-readable medium of this embodiment stores a computer program thereon, and when the computer program is executed by a processor, it is used to implement the steps of the above-mentioned method for automatically identifying fluctuation transients in nuclear power plants.

[0131] The computer-readable storage medium provided in the above embodiment has similar implementation principles and technical effects to those of the above embodiment of the automatic identification method for nuclear power plant fluctuation transients, and will not be described in detail here.

[0132] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0133] The present invention is used to solve the problem of automatic identification of fluctuating transients in nuclear power plants. It automatically calculates and adds the required monitoring curves to the temperature change monitoring curve, automatically identifies whether a fluctuating transient has occurred, and outputs detailed information such as the start and end time of the transient, the starting and ending temperature values, and the temperature change amplitude, thereby improving the efficiency and reliability of transient management. It can quickly and accurately realize the automatic identification of various complex fluctuating transients, especially fluctuating transients in large time intervals, and can accurately determine the start and end times of transient occurrence. Compared with the existing manual identification mode, the output results are richer and can significantly improve work efficiency and enhance the reliability of the results. It provides support for the renewal of unit operating licenses, regular safety reviews, and other tasks, solving the statistical and management problems of fluctuating transients that power plants focus on. At the same time, this method has the characteristics of simple algorithm and convenient application, filling the gap in the existing technology.

[0134] The above embodiments are intended only to illustrate the technical concepts and features of the present invention. Their purpose is to enable those skilled in the art to understand the contents of the present invention and implement them accordingly. They are not intended to limit the scope of protection of the present invention. Any equivalent changes or modifications made in accordance with the spirit of the present invention are intended to be covered by the scope of protection of the present invention.

Claims

1. A method for automatically identifying transient fluctuations in nuclear power plants, characterized in that: The steps include: Obtain the relative temperature change curve of the nozzle and perform peak-valley value detection on the relative temperature change curve; use the peak-valley value as the demarcation point to delineate the peak-valley value combination interval on the relative temperature change curve, use the transient threshold to judge the peak-valley value combination interval, and use the threshold window method to perform detailed judgment on the peak-valley value combination interval that meets the preset conditions, and finally output the automatic recognition result; The steps of using transient threshold to judge the peak-valley value combination interval are: extracting characteristic parameters in the peak-valley value combination interval; obtaining the transient temperature threshold T according to the fatigue analysis results of the metal parts of the nuclear power plant; 阈值 and time threshold t 阈值 Determine whether transient occurs within each peak-valley value combination interval; According to the temperature threshold T 阈值 and time threshold t 阈值 The specific steps for determining whether transient occurs in each peak-valley value combination interval are as follows: First, determine whether each combined interval segment meets the first preset condition. If not, it can be directly determined that no transient occurs in the combined interval; If the first preset condition is met, then continue to determine whether each combined interval segment meets the second preset condition. If not, it can be directly determined that a transient occurs in the combined interval, and the transient start time and transient end time as well as the corresponding temperature value and temperature difference are output at the same time; If the second preset condition is met, the threshold window method is used for detailed judgment.

2. The automatic identification method according to claim 1, characterized in that: The characteristic parameters include the temperature difference ΔT, the time difference Δt, the temperature rise and the temperature drop within the combined interval.

3. The automatic identification method according to claim 1, characterized in that: The first preset condition is that the temperature difference ΔT of the combined interval is greater than or equal to the temperature threshold T 阈值 The second preset condition is that the time difference Δt of the combined interval is greater than the time threshold t 阈值 .

4. The automatic identification method according to claim 1 or 3, characterized in that: The preset condition is that the temperature difference ΔT of the peak-valley value combination interval exceeds the temperature threshold T 阈值 , and the time difference Δt exceeds the time threshold t 阈值 .

5. The automatic identification method according to claim 1, characterized in that: The detailed judgment is to use the threshold window method to select a time threshold t after each temperature point t0. 阈值 The interval (t0, t0+t 阈值 ), traverse all temperature points in the interval in order to find the maximum and minimum values of the temperature points in the interval, and at the same time determine whether the third preset condition is met; If the third preset condition is met, it indicates that a transient occurs in the interval, and the preliminary transient start time and transient end time as well as the corresponding temperature value and temperature difference are output; if the third preset condition is not met, no transient occurs in the interval.

6. The automatic identification method according to claim 5, characterized in that: The third preset condition is that the maximum value minus the minimum value of the interval temperature point is greater than or equal to the set transient temperature threshold.

7. The automatic identification method according to claim 5, characterized in that: The detailed determination further includes determining whether there is an intersection between the output preliminary transient time intervals, and determining whether the time intervals of adjacent transients meet a fourth preset condition; If the fourth preset condition is met, it indicates that there is an intersection between adjacent transient time intervals, and the two time intervals need to be merged, and the merged transient start time and transient end time as well as the corresponding temperature value and temperature difference are output; If the fourth preset condition is not met, the transient intervals do not need to be merged, and the transient start time and transient end time as well as the corresponding temperature values and temperature differences remain unchanged.

8. The automatic identification method according to claim 7, characterized in that: The fourth preset condition is that the end time of the previous transient state is greater than the start time of the next transient state.

9. The automatic identification method according to claim 7, characterized in that: The start time of the merged transient remains unchanged, the end time is changed to the end time of the next transient, and all transient time intervals are traversed.

10. The automatic identification method according to claim 7, characterized in that: The output automatic identification result is the result of judging the peak-valley value combination interval based on the transient threshold and the result of detailed judgment using the threshold window method, and outputs the final start and end times of all transients and the corresponding temperature values and temperature differences.

11. The automatic identification method according to claim 1, characterized in that: The nozzle relative temperature change curve is obtained by the following steps: obtaining the reactor coolant system pipeline temperature data and the temperature data of the nozzles connected to the reactor coolant system pipeline in the unit operation temperature monitoring data, calculating the nozzle relative temperature change data of the primary auxiliary system and generating the nozzle relative temperature change curve.

12. The automatic identification method according to claim 1, characterized in that: While performing peak-valley value detection on the nozzle relative temperature variation curve, a temperature threshold is set and points below the temperature threshold are regarded as invalid temperature fluctuations and are eliminated.

13. The automatic identification method according to claim 12, characterized in that: The method for peak-valley value detection is as follows: Read three points on the relative temperature change curve of the nozzle in sequence. Set the first point as the reference point, which is also the confirmed peak and valley value point, represented by T0. The second point is the potential peak and valley value point, represented by T1. The third point is the data point after T1, represented by T2. Set the fifth preset condition. If the fifth preset condition is met, it indicates that the relative temperature change curve is in a normal growth trend. Update T1 and T2 in sequence, and update the potential peak and valley value points at the same time and re-judge. If the fifth preset condition is not met, it indicates that the relative temperature change curve is abnormally growing or not growing, and a sixth preset condition is further set to determine whether the sixth preset condition is met; If the sixth preset condition is met, the potential peak-valley point T1 is a peak-valley value, and is added to the peak-valley point array extrem(i), while T0, T1, and T2 are updated at the same time; If the sixth preset condition is not met, only T2 is updated and the judgment is made again, and the final complete extrem(i) sequence is obtained after traversing all temperature points on the nozzle relative temperature change curve.

14. The automatic identification method according to claim 13, characterized in that: The fifth preset condition is L-20>L-10 and L-20≥L-21; Where L-10 is the distance between T1 and T0; L-20 is the distance between T2 and T0; L-21 is the distance between T2 and T1.

15. The automatic identification method according to claim 13, characterized in that: The sixth preset condition is that the distance between T2 and T1 L-21 ≥ Delta, where Delta is a set peak-valley value threshold. The distance between T2 and T1 is greater than or equal to the threshold and is determined to be a peak-valley value point.

16. An automatic identification system for the method for automatically identifying fluctuation transients in a nuclear power plant according to any one of claims 1 to 15, characterized in that: include: A data acquisition module is used to acquire the reactor coolant system pipeline temperature data and the temperature data of the nozzle connecting the primary loop auxiliary system and the reactor coolant system pipeline from the unit operation temperature monitoring data; The processing module is used to obtain the relative temperature change curve of the nozzle and perform peak-valley value detection on the relative temperature change curve; use the peak-valley value as the dividing point to delineate the peak-valley value combination interval on the relative temperature change curve, use the transient threshold to judge the peak-valley value combination interval, and use the threshold window method to make detailed judgment on the peak-valley value combination interval that cannot be determined, and finally output the automatic recognition result.

17. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory to implement the steps of the method for automatically identifying fluctuation transients in a nuclear power plant as described in any one of claims 1 to 15.

18. A computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it is used to implement the steps of the method for automatically identifying fluctuation transients in a nuclear power plant as described in any one of claims 1 to 15.

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