A leak detection method and related apparatus

Abstract

The application provides a leakage detection method and related device, and relates to the field of leakage detection. A first pulse signal of the cooling liquid in the water supply pipeline of the plasma generator is measured, a second pulse signal of the cooling liquid in the backwater pipeline of the plasma generator is measured, an initial pulse difference of the first pulse signal and the second pulse signal is calculated, a pulse correction reference value is obtained, the initial pulse difference is corrected by using the pulse correction reference value to obtain a target pulse difference, and a water leakage early warning operation is performed according to the comparison relationship between the target pulse difference and a pulse difference threshold. Through the correction operation, the pulse detection error and the signal transmission error can be eliminated, and the accuracy of the leakage detection is improved. In addition, the pulse correction matrix sequentially stores pulse correction values under different correction trigger conditions, so that the selected pulse correction reference value can adapt to the current operating condition, and the accuracy of the leakage detection is further improved.

Description

Technical Field

[0001] This application relates to the field of leak detection, and more specifically, to a leak detection method and related apparatus. Background Technology

[0002] Plasma generators, with their high-temperature and highly active plasma environment, enable precision machining and material performance optimization that are difficult to achieve with traditional processes.

[0003] However, plasma generators produce a large amount of heat during operation. To ensure stable operation and extend the service life of the equipment, a water-cooling system is an indispensable component. This system removes the heat generated during operation by circulating coolant (such as water), maintaining the equipment temperature within a reasonable range.

[0004] Taking a boiler scenario as an example, during boiler startup or peak shaving, the plasma generator, as the main ignition device, needs frequent start-ups and shutdowns and prolonged operation, leading to electrode erosion after extended use. If electrode erosion causes leakage and the cooling water pipeline is not shut off immediately, the cooling water is highly likely to flow backward into the pulverized coal pipeline. Since pulverized coal has a certain degree of water absorption, it will agglomerate and caking upon contact with water, causing blockage in the pulverized coal pipeline. Blockage in the pulverized coal pipeline not only severely affects the efficiency of pulverized coal transportation but may also cause the coal mill to stop due to insufficient feed. A coal mill shutdown is an extremely serious problem for the safe and stable operation of the boiler, potentially leading to unstable combustion or even flameout. Simultaneously, it significantly increases the workload and cost of power plant maintenance and repair, disrupting the normal production order of the power plant.

[0005] Therefore, developing highly accurate leak detection technology to monitor the operating status of the plasma generator's water cooling system in real time and promptly detect leaks has become an urgent need to ensure the safe and efficient operation of plasma generators and related equipment. Summary of the Invention

[0006] In view of this, this application provides a leakage detection method and related apparatus to solve the problem of the urgent need for highly accurate monitoring of coolant leakage in the water cooling system of a plasma generator.

[0007] To solve the above-mentioned technical problems, this application adopts the following technical solution:

[0008] A leak detection method, comprising:

[0009] The first pulse signal of the coolant in the supply water pipe of the plasma generator is measured, and the second pulse signal of the coolant in the return water pipe of the plasma generator is measured.

[0010] Calculate the initial pulse difference between the first pulse signal and the second pulse signal;

[0011] Obtain a pulse correction reference value; the pulse correction reference value is the latest value in the pulse correction matrix; the pulse correction matrix sequentially stores pulse correction values ​​under different correction trigger conditions; the difference between the pulse correction reference value and the target mean is less than a preset threshold; the target mean is the mean of the pulse correction values ​​in the pulse correction matrix that are preceding the pulse correction reference value;

[0012] Using the pulse correction reference value, the initial pulse difference is corrected to obtain the target pulse difference;

[0013] Based on the comparison between the target pulse difference and the pulse difference threshold, a water leakage early warning operation is performed.

[0014] Optionally, the first initial pulse signal of the coolant in the water supply line of the plasma generator is measured, including:

[0015] Obtain the data sampling period; the data sampling period includes the sampling start time and the sampling end time;

[0016] At the start of the sampling, the pulse signal of the coolant in the water supply line of the plasma generator is measured;

[0017] At the end of the sampling, the pulse signal of the coolant in the water supply line of the plasma generator is measured;

[0018] Based on the pulse signal at the end of the sampling and the pulse signal at the start of the sampling, a first initial pulse signal is determined;

[0019] The first initial pulse signal is filtered to obtain the first pulse signal.

[0020] Optionally, the initial pulse difference is corrected using the pulse correction reference value to obtain the target pulse difference, including:

[0021] The difference between the initial pulse difference and the pulse correction reference value is taken as the target pulse difference.

[0022] Optionally, based on the comparison between the target pulse difference and the pulse difference threshold, a leakage early warning operation is performed, including:

[0023] If the duration of the target pulse difference being in the first interval is greater than a first time threshold or the number of consecutive times the target pulse difference is in the first interval is greater than a first number threshold, a leakage warning operation is performed; the minimum value of the first interval is greater than the first pulse difference threshold and the maximum value is the second pulse difference threshold;

[0024] If the duration of the target pulse difference being in the second interval is greater than the second time threshold or the number of consecutive times the target pulse difference is in the second interval is greater than the second number threshold, a leakage warning operation is performed; the minimum value of the second interval is greater than the second pulse difference threshold and the maximum value is the third pulse difference threshold.

[0025] If the target pulse difference is greater than the third pulse difference threshold, a water leakage warning operation is performed.

[0026] Optionally, based on the comparison between the target pulse difference and the pulse difference threshold, a leakage early warning operation is performed, including:

[0027] If the target pulse difference is greater than the fourth pulse difference threshold, the target pulse difference is stored in the statistical matrix; the fourth pulse difference threshold is less than the first pulse difference threshold.

[0028] Calculate the sum of the pulse differences in the statistical matrix;

[0029] If the total exceeds the cumulative leakage threshold, a leakage warning operation will be performed.

[0030] Optionally, after correcting the initial pulse difference using the pulse correction reference value to obtain the target pulse difference, the method further includes:

[0031] If the target pulse difference is greater than the first pulse difference threshold and less than or equal to the third pulse difference threshold, the length of the data sampling period is extended.

[0032] Optionally, the process of determining at least one of the first pulse difference threshold, the second pulse difference threshold, the third pulse difference threshold, and the fourth pulse difference threshold includes:

[0033] Acquire the operating conditions of the plasma generator and the historical target pulse difference;

[0034] Using the operating conditions and the historical target pulse difference, at least one of the first pulse difference threshold, the second pulse difference threshold, the third pulse difference threshold, and the fourth pulse difference threshold is adaptively adjusted.

[0035] A leak detection device, comprising:

[0036] The measurement module is used to measure the first pulse signal of the coolant in the water supply line of the plasma generator, and to measure the second pulse signal of the coolant in the water return line of the plasma generator.

[0037] The calculation module is used to calculate the initial pulse difference between the first pulse signal and the second pulse signal;

[0038] An acquisition module is used to acquire a pulse correction reference value; the pulse correction reference value is the latest value in the pulse correction matrix; the pulse correction matrix sequentially stores pulse correction values ​​under different correction trigger conditions; the difference between the pulse correction reference value and the target mean is less than a preset threshold; the target mean is the mean of the pulse correction values ​​in the pulse correction matrix that are preceding the pulse correction reference value;

[0039] The correction module is used to perform a correction operation on the initial pulse difference using the pulse correction reference value to obtain the target pulse difference;

[0040] The early warning module is used to perform a water leakage early warning operation based on the comparison relationship between the target pulse difference and the pulse difference threshold.

[0041] An electronic device includes at least one processor and a memory connected to the processor, wherein:

[0042] The memory is used to store computer programs;

[0043] The processor is used to execute the computer program so that the electronic device can implement the above-described leakage detection method.

[0044] A computer storage medium carrying one or more computer programs, which, when executed by an electronic device, enable the electronic device to implement the aforementioned leakage detection method.

[0045] This application provides a leak detection method and related apparatus. In this application, a first pulse signal of the coolant in the supply water pipe of a plasma generator and a second pulse signal of the coolant in the return water pipe of the plasma generator are measured. An initial pulse difference between the first and second pulse signals is calculated to obtain a pulse correction reference value. Using the pulse correction reference value, the initial pulse difference is corrected to obtain a target pulse difference. Based on the comparison between the target pulse difference and a pulse difference threshold, a leak warning operation is performed. In this application, the correction operation can eliminate pulse detection errors and signal transmission errors, improving the accuracy of leak detection. Furthermore, in this application, the pulse correction matrix sequentially stores pulse correction values ​​under different correction trigger conditions; that is, the pulse correction values ​​in the pulse correction matrix come from different correction scenarios, thus enabling the selected pulse correction reference value to adapt to the current operating conditions, further improving the accuracy of leak detection. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0047] Figure 1 A flowchart illustrating a leakage detection method provided in this application embodiment;

[0048] Figure 2 A flowchart illustrating an early warning method provided in this application embodiment;

[0049] Figure 3 A flowchart illustrating another early warning method provided in this application embodiment;

[0050] Figure 4 A flowchart illustrating a method for adjusting a threshold provided in an embodiment of this application;

[0051] Figure 5 This is a schematic diagram of the structure of a leak detection device provided in an embodiment of this application;

[0052] Figure 6 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0053] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0054] Plasma generators, with their high-temperature and highly active plasma environment, enable precision machining and material performance optimization that are difficult to achieve with traditional processes.

[0055] However, plasma generators produce a large amount of heat during operation. To ensure stable operation and extend the service life of the equipment, a water-cooling system is an indispensable component. This system removes the heat generated during operation by circulating coolant (such as water), maintaining the equipment temperature within a reasonable range.

[0056] Taking a boiler scenario as an example, during boiler startup or peak shaving, the plasma generator, as the main ignition device, needs frequent start-ups and shutdowns and prolonged operation, leading to electrode erosion after extended use. If electrode erosion causes leakage and the cooling water pipeline is not shut off immediately, the cooling water is highly likely to flow backward into the pulverized coal pipeline. Since pulverized coal has a certain degree of water absorption, it will agglomerate and caking upon contact with water, causing blockage in the pulverized coal pipeline. Blockage in the pulverized coal pipeline not only severely affects the efficiency of pulverized coal transportation but may also cause the coal mill to stop due to insufficient feed. A coal mill shutdown is an extremely serious problem for the safe and stable operation of the boiler, potentially leading to unstable combustion or even flameout. Simultaneously, it significantly increases the workload and cost of power plant maintenance and repair, disrupting the normal production order of the power plant.

[0057] When performing leak detection, mechanical flow detection devices can be used to detect leaks. However, this method suffers from low accuracy due to limitations in mechanical structure, difficulty in calibration, and limited resolution. In addition, it also suffers from slow response and a tendency to generate false alarms.

[0058] In addition, passive detection methods can be used, which will trigger a water leakage alarm only when a large amount of leaked water flows back to the horizontal section of the pulverized coal pipeline. By this time, the relevant equipment may have already been burned out.

[0059] Therefore, it is necessary to develop highly accurate leak detection technology to monitor the operating status of the plasma generator water cooling system in real time and detect leaks in a timely manner.

[0060] Therefore, this application proposes an intelligent leak detection method based on pulse signal detection and data processing. By comparing the pulse signal of the water supply pipeline with the pulse signal of the return pipeline, the method can intelligently sense the leakage of the plasma generator, which can more accurately detect whether there is a leakage problem in the plasma generator and improve detection efficiency and immediacy.

[0061] In one implementation, this application provides a leakage detection method, the executing entity of which can be a controller, processor, or other device with data processing capabilities.

[0062] Reference Figure 1 A leak detection method may include:

[0063] S11. Measure the first pulse signal of the coolant in the water supply line of the plasma generator, and measure the second pulse signal of the coolant in the water return line of the plasma generator.

[0064] In this application, when the plasma generator leaks, the water flow status in the supply and return water pipes changes, and this change is reflected in the pulse signal promptly and accurately. For example, if the plasma generator leaks, the water flow in the supply pipe will be greater than the water flow in the return water pipe, resulting in differences in the frequency and amplitude of the corresponding pulse signal. By monitoring and analyzing these differences, it is possible to accurately determine whether a leak has occurred and the severity of the leak.

[0065] To achieve pulse signal detection, the leakage detection device in this application includes the following parts:

[0066] Water supply and return lines: The water supply line of the leak detection device is connected to the water supply circuit of the plasma generator to collect the coolant flow in the plasma generator's water supply circuit. The return line of the leak detection device is connected to the return circuit of the plasma generator to collect the coolant flow in the plasma generator's return circuit. The coolant can be water, etc. When the coolant is water, the water supply and return lines are used to collect the cooling water flow. Through the water supply and return lines, the water flow status in the plasma generator's cooling water system can be accurately sensed. This piping connection method also facilitates installation, maintenance, and repair.

[0067] Pulse detection modules: Installed on both the supply and return water pipes, these modules measure the pulse signals of the coolant in both the supply and return water pipes. In practical scenarios, the pulse detection module installed on the supply water pipe can be referred to as the first pulse detection module, used to measure the pulse signal of the coolant in the supply water pipe. The pulse detection module installed on the return water pipe can be referred to as the second pulse detection module, used to measure the pulse signal of the coolant in the return water pipe.

[0068] Data processing module: Filters the acquired pulse signals, removes high-frequency interference signals, retains valid pulse signals, and ensures signal accuracy.

[0069] Data acquisition module: Connects to the data processing module and is used to convert pulse signals into digital signals and record the measured pulse signals in digital form.

[0070] Signal correction module: Corrects the pulse signal in digital form to eliminate normal flow errors during the operation of the leak detection device. In one implementation, the signal correction module can be implemented using a microcontroller to adjust the threshold used in the correction process in real time.

[0071] Leakage detection module: This module performs leakage detection based on the corrected pulse signal. In one implementation, the logic of the leakage detection module can be implemented using an embedded algorithm to monitor the operating status of the plasma generator in real time.

[0072] The leakage detection device in this application effectively improves the accuracy and reliability of plasma generator leakage detection through the coordinated operation of multiple modules. It can quickly and accurately alarm the plasma generator for leakage, reducing losses caused by leakage.

[0073] In addition, the modules are connected through standardized interfaces, making them easy to integrate and apply on various types of devices, reducing implementation costs, increasing the accessibility of the device, and making implementation and application more convenient.

[0074] In one implementation, a first pulse detection module installed on the water supply pipeline is used to measure the first pulse signal of the coolant in the water supply pipeline of the plasma generator, and a second pulse detection module installed on the return pipeline is used to measure the second pulse signal of the coolant in the return pipeline of the plasma generator.

[0075] In one implementation, the first pulse detection module and the second pulse detection module can be Hall sensors. Hall sensors can detect the pulse changes generated when water flows through, thereby accurately recording the pulse signals of the water supply pipeline and the return pipeline.

[0076] In one implementation, the process of measuring the first pulse signal of the coolant in the water supply line of the plasma generator can be as follows:

[0077] Obtain the data sampling period (also known as the window period). In practical scenarios, the initial value of the data sampling period can be a pre-configured period value, such as a default data sampling period of 10 seconds, which can be dynamically adjusted later according to the leakage situation.

[0078] The data sampling period includes the sampling start time and the sampling end time. Taking a default data sampling period of 10 seconds as an example, the sampling start time can be 10.00 and the sampling end time can be 10.10.

[0079] Then, at the sampling start time, the pulse signal of the coolant in the water supply line of the plasma generator is measured. Specifically, the pulse signal detected by the first pulse detection module can be acquired at the sampling start time.

[0080] At the end of the sampling period, the pulse signal of the coolant in the water supply line of the plasma generator is measured. Specifically, this can be achieved by acquiring the pulse signal detected by the first pulse detection module at the end of the sampling period.

[0081] Then, a first initial pulse signal is determined based on the pulse signal at the end of the sampling and the pulse signal at the start of the sampling. Specifically, the difference between the pulse signal at the end of the sampling and the pulse signal at the start of the sampling can be used as the first initial pulse signal. The first initial pulse signal refers to the change in the pulse signal collected within the data sampling period, and this first initial pulse signal can be used to quantify the pulse changes of the water flow at the first pulse detection module within the data sampling period.

[0082] Finally, the first initial pulse signal is filtered to obtain the first pulse signal. Specifically, the data processing module uses a filtering algorithm to remove high-frequency interference signals from the first pulse signal, retaining only the valid pulse signal. The filtering algorithm can employ a digital low-pass filter to ensure the extraction of valid signals. During filtering, the digital low-pass filter can detect the rising edge (0-20V+) to find the pulse, retaining only valid pulses with a duration exceeding a specified time (e.g., 1ms) and filtering out invalid pulses with a duration not exceeding 1ms, thereby effectively filtering out high-frequency interference and ensuring signal reliability.

[0083] After the above filtering operation, the first pulse signal can be obtained.

[0084] The process of determining the second pulse signal is similar to that of determining the first pulse signal. The only difference is that the first pulse signal is the pulse signal of the water supply pipeline detected by the first pulse detection module, while the second pulse signal is the pulse signal of the return water pipeline detected by the second pulse detection module.

[0085] S12. Calculate the initial pulse difference between the first pulse signal and the second pulse signal.

[0086] After obtaining the first pulse signal and the second pulse signal, the data acquisition module converts the acquired first pulse signal and the second pulse signal into digital signals through an ADC (Analog-to-Digital Converter) and then transmits them to the signal correction module.

[0087] In this application, changes in water flow are directly reflected in the pulse signal within a data sampling period. Under normal circumstances, if the water cooling system is leak-free, the difference between the pulse signals of the supply and return water pipes should remain within a certain range within the same data sampling period. However, if a leak occurs, the loss of coolant will cause changes in the water flow rate in the pipes, increasing the difference between the second and first pulse signals. Therefore, in this embodiment, the existence of coolant leakage is determined by calculating the difference between the second and first pulse signals. In one implementation, the initial pulse difference = the digital signal corresponding to the second pulse signal - the digital signal corresponding to the first pulse signal.

[0088] In one implementation, to avoid the influence of different data acquisition cycle lengths on the initial pulse difference, the initial pulse difference can be divided by the data acquisition cycle length to obtain a pulse difference per unit length. This pulse difference per unit length is then used as the initial pulse difference per unit length, and subsequent leak detection is performed using this initial pulse difference per unit length.

[0089] S13. Obtain the pulse correction reference value.

[0090] The pulse correction reference value is the latest value in the pulse correction matrix. The pulse correction matrix sequentially stores pulse correction values ​​under different correction trigger conditions. The difference between the pulse correction reference value and the target mean is less than a preset threshold, and the target mean is the average of the pulse correction values ​​in the pulse correction matrix preceding the pulse correction reference value.

[0091] In real-world scenarios, considering the inherent errors of Hall sensors (such as factory calibration deviations), as well as errors in signal transmission and analog-to-digital conversion, the initial pulse difference determined in this application may be inaccurate. Therefore, it is necessary to perform a correction operation on the initial pulse difference.

[0092] In one implementation, a pulse correction matrix can be pre-configured, wherein pulse correction values ​​under different correction trigger conditions are stored sequentially in the pulse correction matrix.

[0093] In one embodiment, the correction triggering conditions can be divided into the following three types:

[0094] 1. Factory calibration:

[0095] Before the leak detection device leaves the factory, it can detect the first pulse signal in the water supply pipeline and the second pulse signal in the return water pipeline for a period of time (e.g., 1 minute), calculate the difference between the second pulse signal and the first pulse signal, and use this difference as the pulse correction value c0.

[0096] In one implementation, multiple pulse correction values ​​can be calculated cyclically according to the correction period, and the average value of the multiple pulse correction values ​​can be used as the pulse correction value c0.

[0097] 2. Calibration of the pipeline after leaving the factory, when it changes from dry to wet:

[0098] After the leak detection device leaves the factory and is actually installed on site, the on-site operating conditions may be different from the standard operating conditions before leaving the factory, and a calibration is required.

[0099] After the water flow in the supply and return water pipelines stabilizes, the first pulse signal in the supply water pipeline and the second pulse signal in the return water pipeline can be detected. The difference between the second pulse signal and the first pulse signal can be calculated, and this difference is used as the pulse correction value c1.

[0100] 3. After leaving the factory, use the reset button to perform calibration.

[0101] After the leak detection device leaves the factory and is actually installed on site, after the pipeline changes from no water to water and the corresponding calibration operation is performed, if the calibration value deviates significantly from the normal value, or if you want to verify the calibration value again, you can press the reset button on the leak detection device. At this time, the first pulse signal in the water supply pipeline and the second pulse signal in the return pipeline can be detected, and the difference between the second pulse signal and the first pulse signal can be calculated. This difference is used as the pulse calibration value c2.

[0102] It should be noted that in real-world scenarios, multiple calibration scenarios can be configured according to requirements, which will not be illustrated in this application.

[0103] After obtaining the pulse correction values ​​c0, c1, and c2, all pulse correction values ​​c0, c1, and c2 can be stored in the pulse correction matrix C in the order of the actual detection time. The default capacity of the pulse correction matrix C is a certain value (e.g., 6). Subsequently, when the second or third correction scenario mentioned above exists, the obtained new pulse correction values ​​can be stored in the pulse correction matrix C. After the pulse correction matrix C is full, the data is stored by overwriting the old values ​​with the new values.

[0104] In one implementation, to ensure the accuracy of the data in the pulse correction matrix C, the pulse correction values ​​to be stored in the pulse correction matrix C can be verified. During verification, the mean value of the data already stored in the pulse correction matrix C is first calculated. mean It can be used as a benchmark value.

[0105] Calculate the pulse correction value to be stored in the pulse correction matrix C and The difference, such as the absolute difference, is considered valid if it is less than a preset threshold X (default is 10). If the absolute difference is greater than the preset threshold X, the pulse correction value is considered invalid. In this case, the pulse correction value is marked as invalid, and the number of invalid marks is accumulated. After three consecutive invalid marks, an alarm is triggered to remind manual correction.

[0106] In one implementation, the latest value in the pulse correction matrix is ​​selected as the pulse correction reference value because the latest value can represent the latest operating condition of the plasma generator. Therefore, using the latest value in the pulse correction matrix as the pulse correction reference value can make the selected pulse correction reference value adaptable to the current operating condition and improve the accuracy of leak detection.

[0107] The difference between the pulse correction reference value and the target mean value is less than a preset threshold, where the target mean value is the average of the pulse correction values ​​in the pulse correction matrix preceding the pulse correction reference value. For a detailed explanation, please refer to the corresponding description above.

[0108] S14. Using the pulse correction reference value, perform a correction operation on the initial pulse difference to obtain the target pulse difference.

[0109] Steps S12-S14 in this application can be performed by the signal correction module.

[0110] In this application, the pulse correction reference value is a correction value that takes into account the inherent error of the sensor, the signal transmission error, and the analog-to-digital conversion. When using the pulse correction reference value to correct the initial pulse difference, in one implementation, the difference between the initial pulse difference (specifically, the initial pulse difference per unit length) and the pulse correction reference value (also a pulse correction reference value per unit length) can be used as the target pulse difference. That is, the pulse portion of the initial pulse difference affected by the inherent error of the sensor, the signal transmission error, and the analog-to-digital conversion is removed to obtain the accurate target pulse difference.

[0111] In this application, a real-time correction mechanism for the pulse difference between the inlet and outlet water pipes is adopted. The correction is performed based on the pulse difference value per unit time, eliminating possible errors during the operation of the leak detection device. This enables accurate detection of small leaks (a few kg / min) caused by electrode ablation type (point / line ablation), significantly improving the accuracy of plasma leak detection and effectively reducing the false alarm rate.

[0112] S15. Based on the comparison relationship between the target pulse difference and the pulse difference threshold, perform a water leakage early warning operation.

[0113] In this application, step S15 can be implemented by the aforementioned leakage detection module. The leakage detection module is pre-configured with pulse difference thresholds for different leakage levels, and performs corresponding leakage warning operations based on the relationship between the target pulse difference and the pulse difference threshold.

[0114] In one implementation, the leakage detection device in this application has a real-time monitoring function, which can accurately present the operating status of the plasma generator and clearly divide it into different situations such as "leaking", "no water" and "normal", providing operators with intuitive and convenient status information. Once an abnormal state is detected, the operator can quickly take corresponding measures, such as closing relevant valves in time, to effectively avoid a series of serious problems caused by the backflow of cooling water.

[0115] In this embodiment, a first pulse signal of the coolant in the supply water pipe of the plasma generator and a second pulse signal of the coolant in the return water pipe of the plasma generator are measured. The initial pulse difference between the first and second pulse signals is calculated to obtain a pulse correction reference value. Using this reference value, the initial pulse difference is corrected to obtain a target pulse difference. Based on the comparison between the target pulse difference and a pulse difference threshold, a leak warning operation is performed. In this application, the correction operation eliminates pulse detection errors and signal transmission errors, improving the accuracy of leak detection. Furthermore, in this application, the pulse correction matrix sequentially stores pulse correction values ​​under different correction trigger conditions. That is, the pulse correction values ​​in the pulse correction matrix come from different correction scenarios, thus enabling the selected pulse correction reference value to adapt to the current operating conditions, further improving the accuracy of leak detection.

[0116] Based on any of the above embodiments, in one implementation, referencing Figure 2 Based on the comparison between the target pulse difference and the pulse difference threshold, a leak warning operation can be performed, which may include:

[0117] S21. If the duration of the target pulse difference being in the first interval is greater than the first time threshold or the number of consecutive times the target pulse difference is in the first interval is greater than the first number threshold, a water leakage warning operation is performed.

[0118] The minimum value in the first interval is greater than the first pulse difference threshold, and the maximum value is the second pulse difference threshold. The target pulse difference can be represented by Δp.

[0119] In real-world scenarios, multiple pulse difference thresholds are pre-configured. This embodiment uses three pulse difference thresholds as an example. The three pulse difference thresholds are the first pulse difference threshold, the second pulse difference threshold, and the third pulse difference threshold. The values ​​of the first, second, and third pulse difference thresholds can be determined according to actual configuration. In one example, the first pulse difference threshold can be 30, the second pulse difference threshold can be 100, and the third pulse difference threshold can be 300.

[0120] The minimum value of the first interval is greater than the first pulse difference threshold and the maximum value is the second pulse difference threshold. In one embodiment, the first interval is (30, 100). If the target pulse difference is located in the first interval, it indicates that there is a slight water leakage.

[0121] In real-world scenarios, a water leakage warning is triggered when the duration of the target pulse difference within the first interval exceeds a first time threshold or the number of consecutive occurrences of the target pulse difference within the first interval exceeds a first number threshold.

[0122] The first time threshold and the first count threshold can be configured according to actual needs. In one example, the first time threshold is 5 minutes and the first count threshold is 5 times.

[0123] In a real-world scenario, a Leak_S signal is output when the target pulse difference is within the first interval. If the Leak_S signal persists for 5 minutes or appears 5 times consecutively, it indicates continuous water leakage, and a leak warning operation should be initiated. The leak warning operation can be implemented through an alarm module and a signal output module. The signal output module can be a wireless communication module (such as LoRa (Long Range Radio) or ZigBee).

[0124] The alarm module uses a buzzer and indicator lights to output water leakage alarm signals. In addition, the alarm information can be sent to the remote monitoring center through the signal output module to ensure that the management personnel are notified in time when water leakage occurs.

[0125] S22. If the duration of the target pulse difference being in the second interval is greater than the second time threshold or the number of consecutive times the target pulse difference is in the second interval is greater than the second number threshold, a water leakage warning operation is performed.

[0126] Wherein, the minimum value of the second interval is greater than the second pulse difference threshold and the maximum value is the third pulse difference threshold. In one embodiment, the second interval is (100, 300]. If the target pulse difference is located in the second interval, it indicates that there is a moderate degree of water leakage.

[0127] The second time threshold and the second number threshold can be configured according to actual needs. In one example, the first time threshold is 3 minutes, and the first number threshold is 3 times.

[0128] In a real-world scenario, a Leak_M signal is output when the target pulse difference is within the second interval. If the Leak_M signal lasts for 3 minutes or appears 3 times consecutively, it indicates continuous water leakage. In this case, a leak warning operation should be initiated. The implementation of the leak warning operation is described in the corresponding instructions above.

[0129] S23. If the target pulse difference is greater than the third pulse difference threshold, a water leakage warning operation is performed.

[0130] Among them, the minimum value of the third interval is greater than the third pulse difference threshold. In one embodiment, the third interval is (300, +∞). If the target pulse difference is located in the third interval, it indicates that the pulse difference between the water supply pipeline and the return pipeline is large, and there is serious water leakage.

[0131] When the target pulse difference is greater than the third pulse difference threshold, i.e., it is in the third interval, the Leak_L signal can be output, and a water leakage warning operation is performed at this time. The implementation of the water leakage warning operation is described in the above description.

[0132] In this embodiment, coolant leakage detection is achieved through the aforementioned pulse difference threshold. Different levels of alarm signals (Leak_S, Leak_M, Leak_L) are output according to the degree of leakage, and multiple alarm triggering conditions are set. When leakage is continuous or the leakage amount is large, early warning operations can be performed in a timely manner, which improves the flexibility and reliability of water leakage alarm and makes it easier for managers to take corresponding measures.

[0133] In addition, by setting the duration and number of consecutive occurrences, this application can avoid the problem of false alarms caused by sudden anomalies.

[0134] In one implementation, based on the above embodiments, a water leakage accumulation early warning system can also be implemented.

[0135] Specifically, refer to Figure 3 Based on the comparison between the target pulse difference and the pulse difference threshold, a leakage early warning operation is performed, including:

[0136] S31. If the target pulse difference is greater than the fourth pulse difference threshold, store the target pulse difference in the statistical matrix.

[0137] Wherein, the fourth pulse difference threshold is less than the first pulse difference threshold. In one embodiment, the fourth pulse difference threshold is represented by K, and K is 15 by default.

[0138] If the target pulse difference is greater than the fourth pulse difference threshold, it indicates that there is a coolant leak. In this case, the target pulse difference can be stored in the statistical matrix P.

[0139] S32. Calculate the sum of the pulse differences in the statistical matrix.

[0140] In this embodiment, the sum of the pulse differences in the statistical matrix P is calculated, and this sum can characterize the total amount of water leakage.

[0141] S33. If the total exceeds the cumulative leakage threshold, a leakage warning operation is performed.

[0142] In this application, a cumulative leakage threshold T is pre-configured. In one embodiment, the cumulative leakage threshold T is 10000 by default.

[0143] When the sum of the pulse differences in the statistical matrix exceeds the cumulative leakage threshold, i.e., when the cumulative leakage reaches a certain level, a leakage warning operation can be performed to inform the relevant personnel that the cumulative leakage has exceeded the standard in order to avoid affecting the operation of the plasma generator.

[0144] In this embodiment, the cumulative leakage is detected, and when the cumulative leakage exceeds the standard, an early warning operation is performed in a timely manner to notify the power plant operation and maintenance personnel to carry out corresponding maintenance operations.

[0145] In one implementation, at least one of the first pulse difference threshold, the second pulse difference threshold, the third pulse difference threshold, and the fourth pulse difference threshold can be adaptively adjusted.

[0146] Specifically, refer to Figure 4 The process of determining at least one of the first pulse difference threshold, the second pulse difference threshold, the third pulse difference threshold, and the fourth pulse difference threshold includes:

[0147] S41. Obtain the operating conditions of the plasma generator and the historical target pulse difference.

[0148] In practice, the operation of the plasma generator is divided into a startup phase and a stable operation phase. Different first pulse difference threshold, second pulse difference threshold, third pulse difference threshold and fourth pulse difference threshold can be set for different phases.

[0149] Historical target pulse difference refers to the target pulse difference obtained within a historical data acquisition period.

[0150] S42. Using the operating conditions and historical target pulse differences, adaptively adjust at least one of the first pulse difference threshold, the second pulse difference threshold, the third pulse difference threshold, and the fourth pulse difference threshold.

[0151] In this embodiment, an adaptive threshold adjustment algorithm is adopted to dynamically adjust the first pulse difference threshold A, the second pulse difference threshold B, the third pulse difference threshold C, and the fourth pulse difference threshold K based on the operating conditions, historical data, and current traffic conditions, thereby improving the accuracy of the judgment.

[0152] In one implementation, taking the simultaneous adjustment of A, B, and C as an example, the threshold adjustment process is introduced.

[0153] The adaptive threshold adjustment algorithm aims to dynamically adjust the leakage detection thresholds A, B, and C by analyzing historical data, operating conditions, and real-time flow data. This adapts to the characteristics of the plasma generator at different operating stages, thereby improving the accuracy of leakage detection. Different threshold setting strategies are employed during the startup and stable operation phases of the device.

[0154] Startup phase threshold adjustment:

[0155] Data collection: During the initial startup of the device, traffic data is continuously collected for a certain period of time (e.g., the first 10 minutes). This data will serve as the basis for subsequent threshold adjustments.

[0156] Initial threshold setting: Based on historical experience or default parameters, set the initial leakage detection thresholds A, B, and C.

[0157] Dynamic adjustment: As the plasma generator operates, flow data is continuously monitored, and the rate of change in flow is calculated. If, at any given moment, the rate of change in flow exceeds an initially set threshold (e.g., a change exceeding 5% per minute), the current threshold is considered potentially inaccurate and requires adjustment. Specifically, based on the trend of flow changes, thresholds A, B, and C are appropriately lowered to improve sensitivity to early leakage.

[0158] Continuous optimization: During the remaining time of the startup phase, the above monitoring and adjustment process is repeated until the plasma generator enters a stable operating phase. During this process, the time and reason for each adjustment are recorded for subsequent analysis and algorithm optimization.

[0159] Threshold adjustment during stable operation phase:

[0160] Historical data statistics: After the device is operating stably, collect flow data over a period of time (e.g., the past week) and perform statistical analysis. Calculate statistical parameters such as the average flow rate and standard deviation as a reference for subsequent threshold adjustments.

[0161] Dynamic threshold adjustment: Thresholds A, B, and C are dynamically adjusted based on real-time traffic data and historical statistics. The specific adjustment method is as follows:

[0162] If the difference between the current traffic and the historical average is within a certain range (e.g., the difference does not exceed the first multiple of the standard deviation), then the threshold remains unchanged.

[0163] If the difference between the current traffic and the historical average exceeds the first multiple of the standard deviation but does not exceed the second multiple, the threshold should be adjusted appropriately according to the magnitude of the difference.

[0164] If the difference between the current flow rate and the historical average exceeds the second multiple of the standard deviation, a leak is considered to be possible. In this case, the thresholds A, B, and C are further reduced to improve the sensitivity of the detection.

[0165] The adjustment process for the fourth pulse difference threshold K is the same as the adjustment process for the first pulse difference threshold A, the second pulse difference threshold B, and the third pulse difference threshold C.

[0166] It should be noted that when adjusting the first pulse difference threshold A, the second pulse difference threshold B, the third pulse difference threshold C, and the fourth pulse difference threshold K, one of these four thresholds can be adjusted, or two of these four thresholds can be adjusted, or three of these four thresholds can be adjusted, or all four thresholds can be adjusted simultaneously. The specific method used can be determined according to the actual configuration.

[0167] In this embodiment, the thresholds (A, B, C, and K) for leak detection can be dynamically adjusted to accurately identify the leak status under different flow rates, thereby improving the accuracy of leak detection under different operating conditions or flow scenarios.

[0168] In addition, by utilizing multi-level water leakage alarms based on instantaneous pulse difference and cumulative pulse difference, as well as various early warning output methods such as audible and visual alarms and remote information transmission, management personnel can ensure that they can promptly obtain information on water leakage in the plasma generator, thereby reducing the risks of equipment damage, coal powder pipeline blockage, coal mill blockage, and water waste.

[0169] In one implementation, after correcting the initial pulse difference using the pulse correction reference value to obtain the target pulse difference, the method further includes:

[0170] If the target pulse difference is greater than the first pulse difference threshold and less than or equal to the third pulse difference threshold, the length of the data sampling period is extended.

[0171] In this application, if the target pulse difference is greater than the first pulse difference threshold and less than or equal to the third pulse difference threshold, it indicates that the coolant leakage is generally normal. In this case, it is not necessary to perform intensive leakage detection. The length of the data sampling period can be extended, such as adjusting the length of the data sampling period to N times the length of the original data sampling period, where N can be 2.

[0172] In this embodiment, the data sampling period can be adaptively adjusted according to the degree of leakage, so that the data sampling period matches the current degree of leakage, reducing false alarms while improving the timeliness and efficiency of detection.

[0173] In addition, by adjusting the dynamic sampling period and combining it with the above-mentioned multi-level leakage detection strategy, this device can flexibly adjust the detection frequency according to the actual situation, realize real-time leakage detection response, and improve the reliability of plasma leakage detection.

[0174] In summary, the embodiments of this application, through the collaboration of multiple modules such as pulse signal detection, data acquisition, data processing, and leakage detection, can automatically and periodically detect the pulse difference of coolant in the water supply and return pipelines, thereby determining whether there is leakage in the plasma generator and achieving a rapid response to leakage in the plasma generator. Compared with traditional mechanical flow detection, it has higher accuracy and reliability.

[0175] Based on the above embodiments of the leakage detection method, another embodiment of this application provides a leakage detection device, referring to... Figure 5 It can include:

[0176] Measurement module 11 is used to measure the first pulse signal of the coolant in the water supply line of the plasma generator, and to measure the second pulse signal of the coolant in the water return line of the plasma generator.

[0177] Calculation module 12 is used to calculate the initial pulse difference between the first pulse signal and the second pulse signal;

[0178] The acquisition module 13 is used to acquire a pulse correction reference value; the pulse correction reference value is the latest value in the pulse correction matrix; the pulse correction matrix sequentially stores pulse correction values ​​under different correction trigger conditions; the difference between the pulse correction reference value and the target mean is less than a preset threshold; the target mean is the mean of the pulse correction values ​​in the pulse correction matrix that are preceding the pulse correction reference value;

[0179] The correction module 14 is used to perform a correction operation on the initial pulse difference using the pulse correction reference value to obtain the target pulse difference;

[0180] The early warning module 15 is used to perform a water leakage early warning operation based on the comparison relationship between the target pulse difference and the pulse difference threshold.

[0181] In one implementation, the measurement module 11 includes:

[0182] The period acquisition submodule is used to acquire the data sampling period; the data sampling period includes the sampling start time and the sampling end time;

[0183] The first measurement submodule is used to measure the pulse signal of the coolant in the water supply pipeline of the plasma generator at the sampling start time.

[0184] The second measurement submodule is used to measure the pulse signal of the coolant in the water supply pipeline of the plasma generator at the end of the sampling time.

[0185] The signal determination submodule is used to determine a first initial pulse signal based on the pulse signal at the end of the sampling and the pulse signal at the start of the sampling.

[0186] The filtering submodule is used to perform filtering operations on the first initial pulse signal to obtain the first pulse signal.

[0187] In one implementation, the correction module 14 is specifically used for:

[0188] The difference between the initial pulse difference and the pulse correction reference value is taken as the target pulse difference.

[0189] In one implementation, the early warning module 15 includes:

[0190] The first early warning submodule is used to perform a water leakage early warning operation when the duration of the target pulse difference in the first interval is greater than a first time threshold or the number of consecutive times the target pulse difference is in the first interval is greater than a first number threshold; the minimum value of the first interval is greater than the first pulse difference threshold and the maximum value is the second pulse difference threshold.

[0191] The second early warning submodule is used to perform a water leakage early warning operation when the duration of the target pulse difference in the second interval is greater than the second time threshold or the number of consecutive times the target pulse difference is in the second interval is greater than the second number threshold; the minimum value of the second interval is greater than the second pulse difference threshold and the maximum value is the third pulse difference threshold.

[0192] The third early warning submodule is used to perform a water leakage early warning operation when the target pulse difference is greater than the third pulse difference threshold.

[0193] In one implementation, the early warning module 15 includes:

[0194] The write submodule is used to store the target pulse difference into a statistical matrix when the target pulse difference is greater than the fourth pulse difference threshold; the fourth pulse difference threshold is less than the first pulse difference threshold.

[0195] The calculation submodule is used to calculate the sum of the pulse differences in the statistical matrix;

[0196] The fourth early warning submodule is used to perform a leak warning operation when the total exceeds the cumulative leak threshold.

[0197] One implementation also includes:

[0198] The period adjustment module is used to extend the length of the data sampling period when the target pulse difference is greater than the first pulse difference threshold and less than or equal to the third pulse difference threshold.

[0199] One implementation also includes a threshold adjustment module, used for:

[0200] The operating conditions of the plasma generator and the historical target pulse difference are obtained. Using the operating conditions and the historical target pulse difference, at least one of the first pulse difference threshold, the second pulse difference threshold, the third pulse difference threshold and the fourth pulse difference threshold is adaptively adjusted.

[0201] In this embodiment, a first pulse signal of the coolant in the supply water pipe of the plasma generator and a second pulse signal of the coolant in the return water pipe of the plasma generator are measured. The initial pulse difference between the first and second pulse signals is calculated to obtain a pulse correction reference value. Using this reference value, the initial pulse difference is corrected to obtain a target pulse difference. Based on the comparison between the target pulse difference and a pulse difference threshold, a leak warning operation is performed. In this application, the correction operation eliminates pulse detection errors and signal transmission errors, improving the accuracy of leak detection. Furthermore, in this application, the pulse correction matrix sequentially stores pulse correction values ​​under different correction trigger conditions. That is, the pulse correction values ​​in the pulse correction matrix come from different correction scenarios, thus enabling the selected pulse correction reference value to adapt to the current operating conditions, further improving the accuracy of leak detection.

[0202] It should be noted that the working process of each module and sub-module in this embodiment is described in the corresponding descriptions in the above embodiments, and will not be repeated here.

[0203] This application embodiment also provides an electronic device, including at least one processor and a memory connected to the processor, wherein:

[0204] The memory is used to store computer programs;

[0205] The processor is used to execute the computer program so that the electronic device can implement the above-described leakage detection method.

[0206] refer to Figure 6 The diagram illustrates a structural schematic suitable for implementing the electronic device in the embodiments of this application. The electronic device in the embodiments of this application may include, but is not limited to, fixed terminals such as mobile phones, laptops, PDAs (personal digital assistants), PADs (tablet computers), desktop computers, etc. Figure 6 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0207] like Figure 6 As shown, the electronic device may include a processing unit (e.g., a central processing unit, a graphics processing unit, etc.) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage device 608 into a random access memory (RAM) 603. When the electronic device is powered on, the RAM 603 also stores various programs and data required for the operation of the electronic device. The processing unit 601, ROM 602, and RAM 603 are interconnected via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0208] Typically, the following devices can be connected to I / O interface 605: input devices 606 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 607 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 608 including, for example, memory cards, hard drives, etc.; and communication devices 609. Communication device 609 allows electronic devices to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 6 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown. More or fewer devices may be implemented or have alternatively.

[0209] This application also provides a computer program product including computer-readable instructions, which, when executed on an electronic device, cause the electronic device to implement any of the leakage detection methods provided in this application.

[0210] This application also provides a computer-readable storage medium that carries one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can implement any of the leakage detection methods provided in this application.

[0211] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method of leak detection, characterized in that, include: The first pulse signal of the coolant in the supply water pipe of the plasma generator is measured, and the second pulse signal of the coolant in the return water pipe of the plasma generator is measured. Calculate the initial pulse difference between the first pulse signal and the second pulse signal; Obtain a pulse correction reference value; the pulse correction reference value is the latest value in the pulse correction matrix; the pulse correction matrix sequentially stores pulse correction values ​​under different correction trigger conditions; The difference between the pulse correction reference value and the target mean value is less than a preset threshold; the target mean value is the mean value of the pulse correction values ​​in the pulse correction matrix that are preceding the pulse correction reference value. Using the pulse correction reference value, the initial pulse difference is corrected to obtain the target pulse difference; Based on the comparison relationship between the target pulse difference and the pulse difference threshold, a water leakage early warning operation is performed; The step of performing a leak warning operation based on the comparison between the target pulse difference and the pulse difference threshold includes: If the duration of the target pulse difference being in the first interval is greater than a first time threshold or the number of consecutive times the target pulse difference is in the first interval is greater than a first number threshold, a water leakage warning operation is performed; the minimum value of the first interval is greater than the first pulse difference threshold and the maximum value is the second pulse difference threshold; If the duration of the target pulse difference in the second interval is greater than the second time threshold or the number of consecutive times the target pulse difference is in the second interval is greater than the second number threshold, a water leakage warning operation is performed; the minimum value of the second interval is greater than the second pulse difference threshold and the maximum value is the third pulse difference threshold. If the target pulse difference is greater than the third pulse difference threshold, a water leakage warning operation will be performed. The step of performing a leak warning operation based on the comparison between the target pulse difference and the pulse difference threshold includes: If the target pulse difference is greater than the fourth pulse difference threshold, the target pulse difference is stored in the statistical matrix; the fourth pulse difference threshold is less than the first pulse difference threshold. Calculate the sum of the pulse differences in the statistical matrix; If the total exceeds the cumulative leakage threshold, a leakage warning operation will be performed.

2. The leak detection method of claim 1, wherein, The first initial pulse signal of the coolant in the water supply line of the plasma generator is measured, including: Obtain the data sampling period; the data sampling period includes the sampling start time and the sampling end time; At the start of the sampling, the pulse signal of the coolant in the water supply line of the plasma generator is measured; At the end of the sampling, the pulse signal of the coolant in the water supply line of the plasma generator is measured; Based on the pulse signal at the end of the sampling and the pulse signal at the start of the sampling, a first initial pulse signal is determined; The first initial pulse signal is filtered to obtain the first pulse signal.

3. The leakage detection method according to claim 1, characterized in that, Using the pulse correction reference value, a correction operation is performed on the initial pulse difference to obtain the target pulse difference, including: The difference between the initial pulse difference and the pulse correction reference value is taken as the target pulse difference.

4. The leakage detection method according to claim 1, characterized in that, After correcting the initial pulse difference using the pulse correction reference value to obtain the target pulse difference, the method further includes: If the target pulse difference is greater than the first pulse difference threshold and less than or equal to the third pulse difference threshold, the length of the data sampling period is extended.

5. The leakage detection method according to claim 1, characterized in that, The process of determining at least one of the first pulse difference threshold, the second pulse difference threshold, the third pulse difference threshold, and the fourth pulse difference threshold includes: Acquire the operating conditions of the plasma generator and the historical target pulse difference; Using the operating conditions and the historical target pulse difference, at least one of the first pulse difference threshold, the second pulse difference threshold, the third pulse difference threshold, and the fourth pulse difference threshold is adaptively adjusted.

6. A leak detection device, characterized in that, include: The measurement module is used to measure the first pulse signal of the coolant in the supply water pipe of the plasma generator, and to measure the second pulse signal of the coolant in the return water pipe of the plasma generator. The calculation module is used to calculate the initial pulse difference between the first pulse signal and the second pulse signal; The acquisition module is used to acquire pulse correction reference values; the pulse correction reference values ​​are the latest values ​​in the pulse correction matrix; the pulse correction matrix sequentially stores pulse correction values ​​under different correction trigger conditions. The difference between the pulse correction reference value and the target mean value is less than a preset threshold; the target mean value is the mean value of the pulse correction values ​​in the pulse correction matrix that are preceding the pulse correction reference value. The correction module is used to perform a correction operation on the initial pulse difference using the pulse correction reference value to obtain the target pulse difference; The early warning module is used to perform a water leakage early warning operation based on the comparison relationship between the target pulse difference and the pulse difference threshold. The early warning module includes: The first early warning submodule is used to perform a water leakage early warning operation when the duration of the target pulse difference in the first interval is greater than a first time threshold or the number of consecutive times the target pulse difference is in the first interval is greater than a first number threshold; the minimum value of the first interval is greater than the first pulse difference threshold and the maximum value is the second pulse difference threshold. The second early warning submodule is used to perform a water leakage early warning operation when the duration of the target pulse difference in the second interval is greater than the second time threshold or the number of consecutive times the target pulse difference is in the second interval is greater than the second number threshold; the minimum value of the second interval is greater than the second pulse difference threshold and the maximum value is the third pulse difference threshold. The third early warning submodule is used to perform a water leakage early warning operation when the target pulse difference is greater than the third pulse difference threshold. The early warning module includes: A write submodule is used to store the target pulse difference into a statistical matrix when the target pulse difference is greater than a fourth pulse difference threshold; the fourth pulse difference threshold is less than the first pulse difference threshold. The calculation submodule is used to calculate the sum of the pulse differences in the statistical matrix; The fourth early warning submodule is used to perform a leak warning operation when the total exceeds the cumulative leak threshold.

7. An electronic device, characterized in that, It includes at least one processor and a memory connected to the processor, wherein: The memory is used to store computer programs; The processor is used to execute the computer program to enable the electronic device to implement the leakage detection method as described in any one of claims 1 to 5.

8. A computer storage medium, characterized in that, The storage medium carries one or more computer programs that, when executed by an electronic device, enable the electronic device to implement the leakage detection method as described in any one of claims 1 to 5.

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