Leakage detection method and related device

By measuring the pulse signals of the plasma generator water supply and return water pipelines, and using the pulse correction matrix to correct the error, high-accuracy leakage detection is achieved, solving the problems of equipment blockage and operational instability caused by the leakage of plasma generator coolant.

CN120507095AActive Publication Date: 2025-08-19YANTAI LONGYUAN POWER TECH
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Patent Information

Application Number
CN202510664704.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-22
Publication Date
2025-08-19
Estimated Expiration
2045-05-22

AI Technical Summary

Technical Problem

The prior art is difficult to monitor the leakage of coolant in the water-cooling system of plasma generators with high accuracy, causing cooling water to flow backward into the coal powder pipeline after electrode ablation, causing pipeline blockage, affecting the operation stability of the boiler and increasing maintenance costs.

Method used

By measuring the pulse signals of the plasma generator water supply and return water pipeline, the initial pulse difference is calculated, and the pulse correction reference value in the pulse correction matrix is ​​used for correction, to obtain the target pulse difference, and a water leakage warning is performed based on the relationship between the pulse difference and the threshold.

Benefits of technology

Improve the accuracy of leakage detection, reduce false alarm rates, promptly detect leakage failures, and avoid equipment damage and production stagnation caused by cooling water backflow.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention provides a leakage detection method and a related device, and relates to the field of leakage detection. A first pulse signal of cooling liquid in a water supply pipeline of the plasma generator is measured, a second pulse signal of cooling liquid in a water return pipeline of the plasma generator is measured, the initial pulse difference of the first pulse signal and the second pulse signal is calculated, a pulse correction reference value is obtained, and the pulse correction reference value is used for correcting the cooling liquid. And performing correction operation on the initial pulse difference to obtain a target pulse difference, and performing water leakage early warning operation according to a comparison relationship between the target pulse difference and a pulse difference threshold value. Through the correction operation, the pulse detection error and the signal transmission error can be eliminated, and the accuracy of leakage detection is improved. Besides, pulse correction values under different correction trigger conditions are sequentially stored in the pulse correction matrix, so that the selected pulse correction reference value can adapt to the current operation condition, and the accuracy of leakage detection is further improved.
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Description

Technical Field

[0001] The present application relates to the field of leakage detection, and more specifically, to a leakage detection method and related devices. Background Art

[0002] The plasma generator, with its high-temperature, highly active plasma environment, enables precision processing and material performance optimization that are difficult to achieve with traditional processes.

[0003] However, plasma generators generate a significant amount of heat during operation. To ensure stable operation and extend the life of the equipment, a water cooling system is essential. This system removes heat generated by the equipment through circulating coolant (e.g., water), maintaining the equipment temperature within a reasonable range.

[0004] For example, during boiler startup or peak load regulation, plasma generators, as the primary ignition equipment, must frequently start and stop, operating for extended periods. This prolonged use can lead to electrode erosion. If electrode erosion causes leakage and the cooling water pipeline is not shut off immediately, cooling water is likely to flow back into the pulverized coal pipeline. Because pulverized coal absorbs water, it agglomerates and hardens upon contact with water, potentially blocking the pulverized coal pipeline. This blockage not only severely impacts pulverized coal conveying efficiency but can also cause the pulverizer to shut down due to poor feed flow. This pulverizer shutdown is extremely critical for the safe and stable operation of the boiler, potentially leading to unstable combustion and even flameout. It also significantly increases the workload and cost of power plant maintenance and overhauls, disrupting normal production.

[0005] Therefore, developing high-accuracy leakage detection technology, real-time monitoring of the operating status of the plasma generator water cooling system, and timely detection of leakage faults have become urgent needs to ensure the safe and efficient operation of plasma generators and related equipment. Summary of the Invention

[0006] In view of this, the present application provides a leakage detection method and related devices to solve the problem of the urgent need to monitor the coolant leakage of the plasma generator water cooling system with high accuracy.

[0007] To solve the above technical problems, this application adopts the following technical solutions:

[0008] A leak detection method, comprising:

[0009] measuring a first pulse signal of the coolant in the water supply line of the plasma generator, and measuring a second pulse signal of the coolant in the water return line of the plasma generator;

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

[0011] Obtaining a pulse correction reference value; the pulse correction reference value is the latest value in a 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 a target mean is less than a preset threshold; the target mean is the mean of pulse correction values in the pulse correction matrix that are located before the pulse correction reference value;

[0012] Using the pulse correction reference value, a correction operation is performed on the initial pulse difference to obtain a target pulse difference;

[0013] A water leakage warning operation is performed based on the comparison relationship between the target pulse difference and the pulse difference threshold.

[0014] Optionally, measuring a first initial pulse signal of the coolant in a water supply line of the plasma generator includes:

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

[0016] At the sampling start time, measuring the pulse signal of the coolant in the water supply pipeline of the plasma generator;

[0017] At the end of the sampling, measuring the pulse signal of the coolant in the water supply pipeline of the plasma generator;

[0018] Determining a first initial pulse signal based on the pulse signal at the sampling end time and the pulse signal at the sampling start time;

[0019] A filtering operation is performed on the first initial pulse signal to obtain a first pulse signal.

[0020] Optionally, using the pulse correction reference value to perform a correction operation on the initial pulse difference to obtain a target pulse difference includes:

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

[0022] Optionally, performing a water leakage warning operation according to a comparison relationship between the target pulse difference and the pulse difference threshold includes:

[0023] When the duration of the target pulse difference 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; 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] 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, 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;

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

[0026] Optionally, performing a water leakage warning operation according to a comparison relationship between the target pulse difference and the pulse difference threshold includes:

[0027] In the case where the target pulse difference is greater than a fourth pulse difference threshold, storing the target pulse difference in a statistical matrix; and the fourth pulse difference threshold is less than the first pulse difference threshold;

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

[0029] When the sum is greater than the cumulative water leakage threshold, a water leakage warning operation is performed.

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

[0031] When 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, a 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] Obtain the operating conditions of the plasma generator and the historical target pulse difference;

[0034] 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 using the operating conditions and the historical target pulse difference.

[0035] A leakage detection device, comprising:

[0036] a measuring module, configured to measure a first pulse signal of the coolant in the water supply line of the plasma generator, and a second pulse signal of the coolant in the water return line of the plasma generator;

[0037] a calculation module, configured to calculate an initial pulse difference between the first pulse signal and the second pulse signal;

[0038] an acquisition module, configured to acquire a pulse correction reference value; the pulse correction reference value being the latest value in a pulse correction matrix; the pulse correction matrix sequentially storing pulse correction values under different correction triggering conditions; the difference between the pulse correction reference value and a target mean being less than a preset threshold; and the target mean being the mean of the pulse correction values in the pulse correction matrix that precede the pulse correction reference value;

[0039] a correction module, configured to perform a correction operation on the initial pulse difference using the pulse correction reference value to obtain a 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 comprising 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 configured to execute the computer program so as to enable the electronic device to implement the leakage detection method described above.

[0044] A computer storage medium carries one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can implement the above-mentioned leakage detection method.

[0045] The present application provides a leakage detection method and related devices. In the present application, a first pulse signal of the coolant in the water supply pipe of the plasma generator is measured, and a second pulse signal of the coolant in the return pipe of the plasma generator is measured, the initial pulse difference between the first pulse signal and the second pulse signal is calculated, and a pulse correction reference value is obtained. The initial pulse difference is corrected using the pulse correction reference value to obtain a target pulse difference. According to the comparison relationship between the target pulse difference and the pulse difference threshold, a water leakage warning operation is performed. In the present application, the correction operation can eliminate pulse detection errors and signal transmission errors, thereby improving the accuracy of leakage detection. In addition, in the present 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, so that the selected pulse correction reference value can adapt to the current operating conditions, further improving the accuracy of leakage detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are merely embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without any creative work.

[0047] Figure 1 A flow chart of a leakage detection method provided in an embodiment of the present application;

[0048] Figure 2 A flowchart of an early warning method provided in an embodiment of the present application;

[0049] Figure 3 A flowchart of another early warning method provided in an embodiment of the present application;

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

[0051] Figure 5 A schematic structural diagram of a leakage detection device provided in an embodiment of the present application;

[0052] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0054] The plasma generator, with its high-temperature, highly active plasma environment, enables precision processing and material performance optimization that are difficult to achieve with traditional processes.

[0055] However, plasma generators generate a significant amount of heat during operation. To ensure stable operation and extend the life of the equipment, a water cooling system is essential. This system removes heat generated by the equipment through circulating coolant (e.g., water), maintaining the equipment temperature within a reasonable range.

[0056] For example, during boiler startup or peak load regulation, plasma generators, as the primary ignition equipment, must frequently start and stop, operating for extended periods. This prolonged use can lead to electrode erosion. If electrode erosion causes leakage and the cooling water pipeline is not shut off immediately, cooling water is likely to flow back into the pulverized coal pipeline. Because pulverized coal absorbs water, it agglomerates and hardens upon contact with water, potentially blocking the pulverized coal pipeline. This blockage not only severely impacts pulverized coal conveying efficiency but can also cause the pulverizer to shut down due to poor feed flow. This pulverizer shutdown is extremely critical for the safe and stable operation of the boiler, potentially leading to unstable combustion and even flameout. It also significantly increases the workload and cost of power plant maintenance and overhauls, disrupting normal production.

[0057] When conducting leak detection, a mechanical flow detection device can be used for water leakage detection. However, due to mechanical structure limitations, calibration difficulties, limited resolution, etc., this method has the problem of low accuracy of water leakage detection. In addition, there are also problems such as slow response and easy false alarms.

[0058] In addition, passive detection methods can also be used. When a large amount of leaked water flows back to the horizontal section of the pulverized coal pipeline, the water leakage alarm will be triggered. At this time, the relevant equipment may have been burned.

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

[0060] To this end, an intelligent leakage detection method based on pulse signal detection and data processing is proposed in an embodiment of the present application. By comparing the pulse signal of the water supply pipeline with the pulse signal of the return pipeline, the water leakage of the plasma generator is intelligently sensed, which can more accurately detect whether there is a water leakage problem in the plasma generator, thereby improving detection efficiency and immediacy.

[0061] In one implementation, the present application provides a leakage detection method, and the execution subject may be a device with data processing capabilities such as a controller and a processor.

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

[0063] S11 , measuring a first pulse signal of the coolant in the water supply pipe of the plasma generator, and measuring a second pulse signal of the coolant in the water return pipe of the plasma generator.

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

[0065] In order to detect the pulse signal, the leakage detection device in this application includes the following parts:

[0066] Water supply and return lines: The leak detection device's water supply line is connected to the plasma generator's water supply circuit and is used to collect the coolant flow in the plasma generator's water supply circuit. The leak detection device's return line is connected to the plasma generator's water return circuit and is used to collect the coolant flow in the plasma generator's water return circuit. The coolant can be water, for example. In this case, the supply and return lines are used to collect the cooling water flow. The water supply and return lines accurately sense the water flow in the plasma generator's cooling water line, and this pipe connection method also facilitates installation, maintenance, and repair.

[0067] Pulse detection modules: These are installed on the water supply and return lines, respectively, to measure the pulse signal of the coolant in the water supply and return lines. In practical scenarios, the pulse detection module installed on the water supply line can be referred to as the first pulse detection module, used to measure the pulse signal of the coolant in the water supply line. The pulse detection module installed on the return line can be referred to as the second pulse detection module, used to measure the pulse signal of the coolant in the return line.

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

[0069] Data acquisition module: connected to the data processing module, used to convert the pulse signal into a digital signal and record the measured pulse signal in the form of a digital signal.

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

[0071] Leakage detection module: performs leakage detection based on the corrected pulse signal. In one implementation, the logic of the leakage detection module can be implemented by 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 work of multiple modules, and can quickly and accurately alarm the plasma generator leakage, reducing the losses caused by leakage.

[0073] In addition, each module is connected through a standardized interface, which makes it easy to integrate and apply on various types of equipment, reducing implementation costs, increasing the popularity 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 may be Hall sensors, which can detect 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 pipeline of the plasma generator may be:

[0077] Get the data sampling period (also called the window period). In actual scenarios, the initial value of the data sampling period can be a pre-configured period value, such as the default data sampling period of 10 seconds. The value of the data sampling period can be dynamically adjusted later based on the water leakage situation.

[0078] The data sampling period includes a sampling start time and a sampling end time. Taking the data sampling period as an example, which is 10 seconds by default, the sampling start time may be 10:00 and the sampling end time may be 10:10.

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

[0080] At the end of the sampling, the pulse signal of the coolant in the water supply pipeline of the plasma generator is measured. Specifically, the pulse signal detected by the first pulse detection module is obtained at the end of the sampling.

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

[0082] Finally, the first initial pulse signal is filtered to obtain a 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 valid pulse signals. 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 identify pulses, retaining only valid pulses lasting longer than a specified time (e.g., 1ms), and filtering out invalid pulses lasting less than 1ms. This effectively removes high-frequency interference and ensures signal reliability.

[0083] After the above filtering operation, a 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, and the second pulse signal is the pulse signal of the return pipeline detected by the second pulse detection module.

[0085] S12. Calculate an 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 collected first pulse signal and the second pulse signal into digital signals through an ADC (Analog-to-Digital Converter) and transmits the digital signals to the signal correction module.

[0087] In the present application, within a data sampling cycle, the change in water flow will be directly reflected in the pulse signal. Under normal circumstances, if there is no water leakage in the water cooling system, the difference in the pulse signals of the water supply pipeline and the return pipeline within the same data sampling cycle should be maintained within a certain range. Once a water leakage occurs, the loss of coolant will cause the water flow in the pipeline to change, making the difference between the second pulse signal and the first pulse signal larger. Therefore, in the embodiment of the present application, the difference between the second pulse signal and the first pulse signal is calculated to determine whether there is a coolant leakage phenomenon. In one implementation method, 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 method, in order to avoid the influence of different lengths of data acquisition cycles on the initial pulse difference, in this application, the above-mentioned initial pulse difference can be divided by the length of the data acquisition cycle to obtain the pulse difference per unit length, and the pulse difference per unit length is used as the initial pulse difference per unit length. Subsequently, water leakage detection is performed based on the initial pulse difference per unit length.

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

[0090] The pulse correction reference value is the latest value in a 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 a target mean value is less than a preset threshold, and the target mean value is the mean of the pulse correction values in the pulse correction matrix that precede the pulse correction reference value.

[0091] In actual scenarios, considering that the Hall sensor has inherent errors (such as factory calibration deviation), in addition, there are also errors in signal transmission errors and analog-to-digital conversion, which makes the initial pulse difference determined in this application inaccurate. Therefore, the initial pulse difference needs to be corrected.

[0092] In one implementation, a pulse correction matrix may be preconfigured, in which pulse correction values under different correction triggering conditions are sequentially stored.

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

[0094] 1. Calibration before leaving the factory:

[0095] Before the leakage detection device leaves the factory, the first pulse signal in the water supply pipeline and the second pulse signal in the return pipeline can be detected for a period of time (such as 1 minute), and the difference between the second pulse signal and the first pulse signal can be calculated, and the difference is used as the pulse correction value c0.

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

[0097] 2. After leaving the factory, the calibration when the pipeline changes from no water to water:

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

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

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

[0101] After the leakage detection device leaves the factory and is actually installed on site, after the corresponding correction operation is performed when the pipeline changes from being dry to having water, there may be a situation where the correction value deviates significantly from the normal value, or when you want to verify the correction value just made again, you can press the reset button on the leakage detection device. At this time, you can detect the first pulse signal in the water supply pipeline and the second pulse signal in the return pipeline, and calculate the difference between the second pulse signal and the first pulse signal. This difference is used as the pulse correction value c2.

[0102] It should be noted that in actual scenarios, multiple correction scenarios can be configured according to needs, and this application will not give examples.

[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 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 described above occurs, the new pulse correction values can be stored in the pulse correction matrix C. After the pulse correction matrix C is filled, the new values are used to overwrite the old values for data storage.

[0104] In one implementation, in order 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 of the data stored in the pulse correction matrix C is first calculated. , mean Can be used as a benchmark value.

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

[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 adapt to the current operating conditions and improve the accuracy of leakage detection.

[0107] The difference between the pulse correction reference value and the target mean value is less than a preset threshold value, and the target mean value is the mean of the pulse correction values before the pulse correction reference value in the pulse correction matrix.

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

[0109] Steps S12-S14 in the present application may be performed by a signal correction module.

[0110] In this application, the pulse correction reference value is a correction value that takes into account sensor-specific errors, signal transmission errors, and analog-to-digital conversion. When using this 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. This eliminates the pulse portion of the initial pulse difference affected by sensor-specific errors, signal transmission errors, and analog-to-digital conversion, thereby obtaining an accurate target pulse difference.

[0111] In this application, a real-time correction mechanism for the pulse difference between the water inlet pipe and the return pipe is adopted, and the pulse difference within unit time is used for correction to eliminate possible errors during the operation of the leakage detection device. It can accurately detect small leakages (several kg / min) caused by electrode ablation types (point / line ablation), significantly improve the accuracy of plasma leakage detection, and effectively reduce the false alarm rate.

[0112] S15. Perform a water leakage warning operation based on the comparison relationship between the target pulse difference and the pulse difference threshold.

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

[0114] In one implementation, the leakage detection device in the present application has a real-time monitoring function, which can accurately present the operating status of the plasma generator, clearly dividing it into different situations such as "water leakage", "no water" and "normal", and 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, etc., to effectively avoid a series of serious problems caused by cooling water backflow.

[0115] In this embodiment, the first pulse signal of the coolant in the water supply pipe of the plasma generator is measured, and the second pulse signal of the coolant in the return pipe of the plasma generator is measured, the initial pulse difference between the first pulse signal and the second pulse signal is calculated, and a pulse correction reference value is obtained. The initial pulse difference is corrected using the pulse correction reference value to obtain a target pulse difference, and a water leakage warning operation is performed based on the comparison relationship between the target pulse difference and the pulse difference threshold. In this application, the pulse detection error and the signal transmission error can be eliminated through the correction operation, thereby improving the accuracy of leakage detection. In addition, in this application, the pulse correction values under different correction trigger conditions are sequentially stored in the pulse correction matrix, that is, the pulse correction values in the pulse correction matrix come from different correction scenarios, so that the selected pulse correction reference value can adapt to the current operating conditions, further improving the accuracy of leakage detection.

[0116] Based on any of the above embodiments, in one implementation, referring to Figure 2 , performing a water leakage warning operation based on the comparison relationship between the target pulse difference and the pulse difference threshold may include:

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

[0118] 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 target pulse difference can be represented by Δp.

[0119] In actual scenarios, multiple pulse difference thresholds are pre-configured. In this embodiment, the configuration of three pulse difference thresholds is used as an example for illustration. 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 pulse difference threshold, the second pulse difference threshold, and the third pulse difference threshold can be based on 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 in the first interval, it indicates that there is a slight water leak.

[0121] In actual scenarios, when the duration of the target pulse difference in the first interval is greater than the first time threshold or the consecutive number of times the target pulse difference is in the first interval is greater than the first number threshold, a water leakage warning operation is performed.

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

[0123] In practical scenarios, a Leak_S signal is output when the target pulse difference is within the first interval. If the Leak_S signal persists for five minutes or appears five times in a row, it indicates a persistent leak and a leak warning should be initiated. This leak warning can be implemented using 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 light to output a water leakage alarm signal. 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 a water leakage occurs.

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

[0126] 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 in the second interval, it indicates that there is a moderate water leak.

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

[0128] In actual scenarios, when the target pulse difference is in the second interval, the Leak_M signal is output. If the Leak_M signal persists for 3 minutes or appears 3 times in a row, it indicates a continuous water leak and a water leak warning should be performed. The implementation of the water leak warning operation refers to the corresponding instructions above.

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

[0130] 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 within the third interval, it indicates that the pulse difference between the water supply pipeline and the return pipeline is large, indicating a serious water leak.

[0131] When the target pulse difference is greater than the third pulse difference threshold, that is, is in the third interval, a Leak_L signal can be output, and a water leakage warning operation is performed. The implementation of the water leakage warning operation refers to the corresponding description above.

[0132] In this embodiment, coolant leakage detection is achieved through the above-mentioned pulse difference threshold, and different levels of alarm signals (Leak_S, Leak_M, Leak_L) are output according to the degree of leakage. In addition, multiple alarm triggering conditions are set. When the leakage continues or the leakage volume is large, early warning operations can be performed in time, which improves the flexibility and reliability of the water leakage alarm and facilitates management personnel to take corresponding measures.

[0133] In addition, this application can avoid the problem of false leakage caused by sudden abnormalities by setting the duration and number of consecutive times.

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

[0135] Specifically, refer to Figure 3 , performing a water leakage warning operation according to the comparison relationship between the target pulse difference and the pulse difference threshold, including:

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

[0137] The fourth pulse difference threshold is smaller than the first pulse difference threshold. In one embodiment, the fourth pulse difference threshold is represented by K, and K defaults to 15.

[0138] When the target pulse difference is greater than the fourth pulse difference threshold, it indicates that there is a coolant leakage phenomenon. At this time, 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 the sum can represent the total amount of water leakage.

[0141] S33: When the sum is greater than the cumulative water leakage threshold, perform a water leakage warning operation.

[0142] In the present application, a cumulative water leakage threshold T is pre-configured. In one embodiment, the cumulative water leakage threshold T defaults to 10,000.

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

[0144] In this embodiment, the accumulated water leakage is detected, and when the accumulated water leakage exceeds the standard, an early warning operation is promptly performed to notify the power plant operation and maintenance personnel so that corresponding maintenance operations can be performed.

[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 specific implementation, the operating conditions of the plasma generator are divided into a startup stage and a stable operation stage. Different first pulse difference thresholds, second pulse difference thresholds, third pulse difference thresholds and fourth pulse difference thresholds can be set in different stages.

[0149] The historical target pulse difference refers to the target pulse difference obtained during the historical data collection period.

[0150] S42. 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 using the operating conditions and the historical target pulse difference.

[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 according to the operating conditions, historical data and current flow conditions, thereby improving the accuracy of the judgment.

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

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

[0154] Startup stage threshold adjustment:

[0155] Data collection: When the device is initially started, continuously collect traffic data 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: Set the initial water leakage detection thresholds A, B, and C based on historical experience or default parameters.

[0157] Dynamic Adjustment: As the plasma generator operates, flow data is continuously monitored and the rate of change is calculated. If, at any point, the rate of change exceeds the initially set threshold (for example, a rate of change exceeding 5% per minute), the current threshold is considered inaccurate and requires adjustment. Specifically, the adjustment involves appropriately lowering thresholds A, B, and C based on the flow rate trend to increase sensitivity to early leaks.

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

[0159] Threshold adjustment during stable operation:

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

[0161] Dynamic adjustment of thresholds: Dynamically adjust thresholds A, B, and C based on real-time traffic data and historical statistical information. The specific adjustment methods are as follows:

[0162] If the difference between the current flow rate and the historical average is within a certain range (for example, the difference does not exceed the first multiple of the standard deviation), 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 is adjusted appropriately based on the size of the difference.

[0164] If the difference between the current flow rate and the historical average value exceeds the second multiple of the standard deviation, it is considered that there may be a water leak. At this time, the thresholds A, B, and C are further lowered to improve the sensitivity of detection.

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

[0166] It should be noted that, for 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, when adjusting the thresholds, you can adjust only one of the four thresholds, or you can adjust two of the four thresholds, or you can adjust three of the four thresholds, or you can adjust all four thresholds at the same time. The specific method to be adopted can be determined according to the actual configuration.

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

[0168] In addition, the multi-level water leakage alarm based on the instantaneous pulse difference and the cumulative pulse difference and various early warning output methods, such as sound and light alarm and remote information transmission, ensure that management personnel can obtain the water leakage situation of the plasma generator in a timely manner, reducing the risks of equipment damage, coal powder pipeline blockage, coal mill blockage and water resource waste.

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

[0170] When 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 the present application, when 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 degree of coolant leakage is general. At this time, there is no need for intensive leakage detection, and 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, and N can be taken as 2.

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

[0173] In addition, through dynamic sampling period adjustment combined with the above-mentioned multi-level water leakage judgment strategy, the device can flexibly adjust the detection frequency according to actual conditions, realize real-time leakage detection response, and improve the reliability of plasma water leakage detection.

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

[0175] Based on the above-mentioned embodiment of the leakage detection method, another embodiment of the present application provides a leakage detection device, referring to Figure 5 , which may include:

[0176] A measuring module 11 is configured to measure a first pulse signal of the coolant in the water supply line of the plasma generator, and a second pulse signal of the coolant in the water return line of the plasma generator;

[0177] a calculation module 12, configured to calculate an initial pulse difference between the first pulse signal and the second pulse signal;

[0178] An acquisition module 13 is configured to acquire a pulse correction reference value; the pulse correction reference value is the latest value in a pulse correction matrix; the pulse correction matrix sequentially stores pulse correction values under different correction triggering conditions; the difference between the pulse correction reference value and a 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 precede the pulse correction reference value;

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

[0180] The early warning module 15 is used to perform a water leakage early warning operation according to 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 a sampling start time and a sampling end time;

[0183] A first measuring submodule is configured to measure a pulse signal of the coolant in the water supply pipeline of the plasma generator at the sampling start time;

[0184] A second measuring submodule is configured to measure a pulse signal of the coolant in the water supply pipeline of the plasma generator at the end of the sampling;

[0185] a signal determination submodule, configured to determine a first initial pulse signal based on the pulse signal at the sampling end time and the pulse signal at the sampling start time;

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

[0187] In one implementation, the correction module 14 is specifically configured to:

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

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

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

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

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

[0194] a writing submodule, configured to store the target pulse difference into a statistical matrix if the target pulse difference is greater than a fourth pulse difference threshold; and the fourth pulse difference threshold is less than the first pulse difference threshold;

[0195] A calculation submodule, configured to calculate the sum of the pulse differences in the statistical matrix;

[0196] The fourth early warning submodule is configured to perform a water leakage early warning operation when the sum is greater than the cumulative water leakage threshold.

[0197] In one implementation, the method further includes:

[0198] The cycle adjustment module is used to extend the length of the data sampling cycle 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] In one implementation, the method further includes a threshold adjustment module, configured to:

[0200] An operating condition and a historical target pulse difference of the plasma generator are obtained, and 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 using the operating condition and the historical target pulse difference.

[0201] In this embodiment, the first pulse signal of the coolant in the water supply pipe of the plasma generator is measured, and the second pulse signal of the coolant in the return pipe of the plasma generator is measured, the initial pulse difference between the first pulse signal and the second pulse signal is calculated, and a pulse correction reference value is obtained. The initial pulse difference is corrected using the pulse correction reference value to obtain a target pulse difference, and a water leakage warning operation is performed based on the comparison relationship between the target pulse difference and the pulse difference threshold. In this application, the pulse detection error and the signal transmission error can be eliminated through the correction operation, thereby improving the accuracy of leakage detection. In addition, in this application, the pulse correction values under different correction trigger conditions are sequentially stored in the pulse correction matrix, that is, the pulse correction values in the pulse correction matrix come from different correction scenarios, so that the selected pulse correction reference value can adapt to the current operating conditions, further improving the accuracy of leakage detection.

[0202] It should be noted that, for the working process of each module and sub-module in this embodiment, please refer to the corresponding description in the above embodiment, which will not be repeated here.

[0203] An embodiment of the present application further 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 configured to execute the computer program so as to enable the electronic device to implement the leakage detection method described above.

[0206] refer to Figure 6 , which shows a schematic diagram of the structure of an electronic device suitable for implementing the embodiments of the present application. The electronic device in the embodiments of the present 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 limit the functions and scope of use of the embodiments of the present application.

[0207] like Figure 6 As shown, the electronic device may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 601, which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 602 or programs 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 device 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 may be connected to the I / O interface 605: an input device 606 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 607 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 608 including, for example, a memory card, a hard disk, etc.; and a communication device 609. The communication device 609 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. Figure 6 The electronic device is shown with various devices, but it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed instead.

[0209] An embodiment of the present application also provides a computer program product including computer-readable instructions. When the computer-readable instructions are executed on an electronic device, the electronic device implements any leakage detection method provided in the embodiment of the present application.

[0210] A computer-readable storage medium is also provided in an embodiment of the present application. The storage medium 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 leakage detection method provided in the embodiment of the present application.

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

Claims

1. A leakage detection method, characterized in that: include: measuring a first pulse signal of the coolant in the water supply line of the plasma generator, and measuring a second pulse signal of the coolant in the water return line of the plasma generator; calculating an initial pulse difference between the first pulse signal and the second pulse signal; Obtaining 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 triggering 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 located before the pulse correction reference value; Using the pulse correction reference value, a correction operation is performed on the initial pulse difference to obtain a target pulse difference; A water leakage warning operation is performed based on the comparison relationship between the target pulse difference and the pulse difference threshold.

2. The leakage detection method according to claim 1, characterized in that: Measuring a first initial pulse signal of coolant in a water supply pipeline of a plasma generator, comprising: Obtaining a data sampling period; the data sampling period includes a sampling start time and a sampling end time; At the sampling start time, measuring the pulse signal of the coolant in the water supply pipeline of the plasma generator; At the end of the sampling, measuring the pulse signal of the coolant in the water supply pipeline of the plasma generator; Determining a first initial pulse signal based on the pulse signal at the sampling end time and the pulse signal at the sampling start time; A filtering operation is performed on the first initial pulse signal to obtain a first pulse signal.

3. The leakage detection method according to claim 1, characterized in that: The initial pulse difference is corrected using the pulse correction reference value to obtain a target pulse difference, comprising: The difference between the initial pulse difference and the pulse correction reference value is used as the target pulse difference.

4. The leakage detection method according to claim 1, wherein: According to the comparison relationship between the target pulse difference and the pulse difference threshold, a water leakage warning operation is performed, including: When the duration of the target pulse difference 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; 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; 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, 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; When the target pulse difference is greater than the third pulse difference threshold, a water leakage warning operation is performed.

5. The leakage detection method according to claim 4, characterized in that: According to the comparison relationship between the target pulse difference and the pulse difference threshold, a water leakage warning operation is performed, including: In the case where the target pulse difference is greater than a fourth pulse difference threshold, storing the target pulse difference in a statistical matrix; and the fourth pulse difference threshold is less than the first pulse difference threshold; Calculating the sum of the pulse differences in the statistical matrix; When the sum is greater than the cumulative water leakage threshold, a water leakage warning operation is performed.

6. The leakage detection method according to claim 4, characterized in that: After performing a correction operation on the initial pulse difference using the pulse correction reference value to obtain a target pulse difference, the method further includes: When 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.

7. The leakage detection method according to claim 5, 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: Obtain the operating conditions of the plasma generator 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 using the operating conditions and the historical target pulse difference.

8. A leakage detection device, characterized in that: include: a measuring module, configured to measure a first pulse signal of the coolant in the water supply line of the plasma generator, and a second pulse signal of the coolant in the water return line of the plasma generator; a calculation module, configured to calculate an initial pulse difference between the first pulse signal and the second pulse signal; An acquisition module is configured to acquire a pulse correction reference value; the pulse correction reference value is the latest value in a pulse correction matrix; the pulse correction matrix sequentially stores pulse correction values under different correction triggering 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 located before the pulse correction reference value; a correction module, configured to perform a correction operation on the initial pulse difference using the pulse correction reference value to obtain a 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.

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

10. A computer storage medium, characterized in that The storage medium carries one or more computer programs, and when the one or more computer programs are executed by an electronic device, the electronic device can implement the leakage detection method according to any one of claims 1 to 7.

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