Sulfur hexafluoride gas leakage detection method, device and system based on adaptive adjustment sampling, medium and terminal

Abstract

The invention provides a sulfur hexafluoride gas leakage detection method, device and system based on adaptive adjustment sampling, a medium and a terminal. The method comprises the following steps: acquiring the concentration, temperature, flow and pressure data of sulfur hexafluoride gas flowing into a sampling gas path from a to-be-detected leakage point at the current moment and after stabilization for preset time; judging whether the gas concentration is in a preset concentration detection interval or not, and if the gas concentration is not in the concentration detection interval, adjusting the gas concentration in the sampling gas path until the gas concentration is stably in the concentration detection interval; and if the gas concentration is in the concentration detection interval, calculating a volume leakage rate based on a preset volume leakage rate calculation model and calculating a mass leakage rate based on a preset mass leakage rate calculation model according to the gas concentration, the gas temperature, the gas flow and the gas pressure data. According to the invention, high-precision measurement in a wide dynamic range can be realized, and a direct and accurate quantification result of the sulfur hexafluoride gas leakage rate is provided.

Description

Technical Field

[0001] This application relates to the field of electrical equipment insulating gas monitoring technology, and in particular to a method, device, system, medium and terminal for detecting sulfur hexafluoride gas leakage based on adaptive adjustment sampling. Background Technology

[0002] Sulfur hexafluoride (SF6) gas is widely used in high-voltage power equipment due to its excellent insulation and arc-quenching properties. However, SF6 leaks not only degrade the insulation performance of equipment, potentially leading to safety accidents, but also pose a significant environmental hazard as SF6 is a potent greenhouse gas. Therefore, effective monitoring and accurate quantification of SF6 leaks are crucial.

[0003] Currently, the commonly used methods for detecting SF6 gas leaks and leakage rates in the industry mainly include the following methods, but all of them have significant drawbacks:

[0004] (1) Qualitative leak detection method (such as infrared imaging method, laser leak detection method): This method uses an imager to scan the equipment and locates the leak point through visual observation or signal feedback. However, this method can only qualitatively locate the leak point and cannot quantitatively calculate the leakage rate. Furthermore, its detection results are greatly affected by environmental wind speed, background interference, and instrument sensitivity, and it cannot provide accurate data on "how many grams leak per hour", which does not meet the needs of quantitative management and environmental protection reports.

[0005] (2) Static pressure drop method: This method monitors the change in SF6 gas pressure inside the equipment for a long time (such as several hours to several days) under closed conditions, and estimates the leakage rate through the ideal gas law. However, this method has an extremely long detection cycle, low efficiency, and is extremely inaccurate. Moreover, its measurement results are severely affected by ambient temperature fluctuations (the pressure change caused by a 1°C temperature change may be much greater than the change caused by leakage), making it unsuitable for rapid, on-site detection, and unable to distinguish between actual leakage and temperature effects.

[0006] (3) Covering method and local wrapping method (cumulative method): This method uses a plastic cover to completely seal the equipment or component under test, or to partially wrap the leak point. After a period of accumulation, the increase in SF6 gas concentration inside the cover is measured to infer the leakage rate. However, this method is difficult to implement on-site, cumbersome to operate, and inefficient. At the same time, for large and complex gas-insulated switchgear (GIS) equipment, it is almost impossible to make a sealing cover. Moreover, the accumulation time is long and it is easily affected by the initial air inside the cover and the permeability of the cover itself, making it difficult to guarantee accuracy.

[0007] (4) Traditional handheld leak detector inspection method: This method uses a handheld SF6 concentration sensor (such as an electrochemical or infrared sensor) to move along the surface of the equipment to find the concentration peak point. However, the measurement value of this method is only the concentration in the local environment, which is greatly affected by the probe distance, wind speed and direction. The repeatability is poor and cannot be converted into a leakage rate. In addition, the sensor response is slow and it is easy to exceed the sensor measurement range or fall below the minimum detection limit. Moreover, the reading is only a relative concentration in the ppm (parts per million) range, which cannot accurately quantify the leakage rate.

[0008] Therefore, it is necessary to provide a method, device, system, medium, and terminal for detecting sulfur hexafluoride gas leaks based on adaptive adjustment sampling, in order to solve the above-mentioned problems existing in the prior art. Summary of the Invention

[0009] In view of the shortcomings of the prior art described above, the purpose of this application is to provide a method, device, system, medium and terminal for detecting sulfur hexafluoride gas leakage based on adaptive adjustment sampling, so as to solve the technical problem that the prior art cannot accurately quantify the SF6 leakage rate.

[0010] To achieve the above and other related objectives, a first aspect of this application provides a method for detecting sulfur hexafluoride (SF6) gas leaks based on adaptive adjustment sampling, comprising: acquiring the concentration, temperature, and flow rate of SF6 gas flowing into a sampling gas path from the leak point to be detected at the current time and after stabilizing for a preset time, as well as the gas pressure data within the sampling gas path; determining whether the SF6 gas concentration is within a preset concentration detection range; if the SF6 gas concentration is not within the concentration detection range, adjusting the SF6 gas concentration in the sampling gas path until it stabilizes within the concentration detection range; if the SF6 gas concentration is within the concentration detection range, calculating the SF6 gas volume leakage rate based on the SF6 gas concentration and gas flow rate using a preset volume leakage rate calculation model, and calculating the SF6 gas mass leakage rate based on the SF6 gas concentration, gas temperature, gas flow rate, and gas pressure data using a preset mass leakage rate calculation model.

[0011] In some embodiments of the first aspect of this application, the process of adjusting the sulfur hexafluoride gas concentration in the sampling gas path until it is stable within the concentration detection range if the sulfur hexafluoride gas concentration is not within the concentration detection range includes: if the sulfur hexafluoride gas concentration is lower than the lowest detection concentration of the concentration detection range, increasing the sulfur hexafluoride gas concentration in the sampling gas path until it is stable within the concentration detection range; if the sulfur hexafluoride gas concentration is higher than the highest detection concentration of the concentration detection range, decreasing the sulfur hexafluoride gas concentration in the sampling gas path until it is stable within the concentration detection range.

[0012] In some embodiments of the first aspect of this application, the preset volumetric leakage rate calculation model is as follows:

[0013] ;

[0014] in, This is the volumetric leakage rate, expressed in mL / s. This represents the concentration of sulfur hexafluoride gas, expressed in ppm. This represents the gas flow rate, measured in mL / min.

[0015] In some embodiments of the first aspect of this application, the preset mass leakage rate calculation model is as follows:

[0016] ;

[0017] in, The mass leakage rate is expressed in g / y. This represents the concentration of sulfur hexafluoride gas, expressed in ppm. This represents the gas flow rate, measured in mL / min. This is air pressure data, and its unit is kPa; This refers to the gas temperature, and its unit is °C. The sampling frequency for sulfur hexafluoride gas concentration is expressed in Hz. It represents time, and its unit is seconds (s).

[0018] To achieve the above and other related objectives, a second aspect of this application provides a sulfur hexafluoride (SF6) gas leak detection device based on adaptive adjustment sampling. The detection device includes: a data acquisition module for acquiring the concentration, temperature, and flow rate of SF6 gas flowing into the sampling gas path from the leak point to be detected at the current time and after stabilizing for a preset time, as well as the gas pressure data within the sampling gas path; a concentration detection range determination module for determining whether the SF6 gas concentration is within a preset concentration detection range; and an instruction control module for adjusting the SF6 gas concentration in the sampling gas path until it stabilizes within the concentration detection range if the SF6 gas concentration is not within the concentration detection range; and for calculating the SF6 gas volume leakage rate based on the SF6 gas concentration and flow rate using a preset volume leakage rate calculation model, and calculating the SF6 gas mass leakage rate based on the SF6 gas concentration, temperature, flow rate, and pressure data using a preset mass leakage rate calculation model.

[0019] To achieve the above and other related objectives, a third aspect of this application provides a sulfur hexafluoride gas leak detection system based on adaptive adjustment sampling, comprising: a sulfur hexafluoride gas leak detection device based on adaptive adjustment sampling as described above, a sampling gas pump, and a sensor array; wherein, the sampling gas pump is used to adjust the flow rate of the mixed gas flowing into the sampling gas path to control the sulfur hexafluoride gas concentration in the sampling gas path; the sensor array is used to collect the sulfur hexafluoride gas concentration, gas temperature, and gas flow rate flowing into the sampling gas path at a preset sampling time, as well as the gas pressure data within the sampling gas path; the sulfur hexafluoride gas leak detection device based on adaptive adjustment sampling is connected to the sampling gas pump and the sensor array respectively, and is used to acquire the current time collected by the sensor array. The system records and stabilizes the concentration, temperature, and flow rate of sulfur hexafluoride (SF6) gas flowing into the sampling gas path from the leak point to be detected for a preset time, as well as the gas pressure data within the sampling gas path. It then determines whether the SF6 gas concentration is within a preset concentration detection range. If the SF6 gas concentration is not within the detection range, the system adjusts the SF6 gas concentration in the sampling gas path based on the sampling gas pump until it stabilizes within the detection range. If the SF6 gas concentration is within the detection range, the system calculates the SF6 gas volume leakage rate based on the SF6 gas concentration and flow rate using a preset volume leakage rate calculation model, and calculates the SF6 gas mass leakage rate based on the SF6 gas concentration, temperature, flow rate, and pressure data using a preset mass leakage rate calculation model.

[0020] In some embodiments of the third aspect of this application, the sensor array includes: an NDIR sulfur hexafluoride concentration sensor for collecting the concentration of sulfur hexafluoride gas flowing into the sampling gas path at a preset sampling time; a temperature sensor for collecting the temperature of the gas flowing into the sampling gas path at a preset sampling time; a flow sensor for collecting the flow rate of the gas flowing into the sampling gas path at a preset sampling time; and a pressure sensor for collecting the pressure data of the gas flowing into the sampling gas path at a preset sampling time.

[0021] In some embodiments of the third aspect of this application, the system further includes: a human-machine interface unit, and a sampling probe, a gas filter, a fluid controller, and an exhaust gas device sequentially connected in the sampling gas path; wherein the human-machine interface unit is configured to perform human-machine interaction operations; the sampling probe is used to determine the leak point to be detected and guide the sulfur hexafluoride gas leaking from the leak point to the sampling gas path; the gas filter is used to filter impurities in the sulfur hexafluoride gas flowing into the sampling gas path; the fluid controller is used to stabilize the airflow of the sulfur hexafluoride gas flowing into the sampling gas path; and the exhaust gas device is used to process and discharge the exhaust gas.

[0022] To achieve the above and other related objectives, a fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method.

[0023] To achieve the above and other related objectives, a fifth aspect of this application provides an electronic terminal, including a memory, a processor, and a computer program stored in the memory; the processor executes the computer program to implement the method.

[0024] As described above, the sulfur hexafluoride gas leak detection method, apparatus, system, medium, and terminal based on adaptive adjustment sampling of this application have the following beneficial effects:

[0025] By determining whether the sulfur hexafluoride (SF6) gas concentration flowing into the sampling gas path from the leak point to be detected is within a preset concentration detection range, if the SF6 gas concentration is not within the detection range, the SF6 gas concentration in the sampling gas path is adjusted until it stabilizes within the detection range. If the SF6 gas concentration is within the detection range, the SF6 gas volume leakage rate is calculated based on the current and stabilized SF6 gas concentration and flow rate using a preset volume leakage rate calculation model. Furthermore, the SF6 gas mass leakage rate is calculated based on the current and stabilized SF6 gas concentration, gas temperature, gas flow rate, and gas pressure data using a preset mass leakage rate calculation model. This achieves high-precision measurement over a wide dynamic range and provides direct and accurate quantitative results for the SF6 gas leakage rate. Attached Figure Description

[0026] Figure 1 The diagram shown is a flowchart of a sulfur hexafluoride gas leak detection method based on adaptive adjustment sampling in one embodiment of this application.

[0027] Figure 2 The diagram shown illustrates the working principle of a sulfur hexafluoride gas leak detection method based on adaptive sampling in one embodiment of this application.

[0028] Figure 3 The diagram shown is a block diagram of a sulfur hexafluoride gas leak detection device based on adaptive adjustment sampling in one embodiment of this application.

[0029] Figure 4 The diagram shown is a schematic of a sulfur hexafluoride gas leak detection system based on adaptive adjustment sampling in one embodiment of this application.

[0030] Figure 5 The diagram shown is a structural schematic of an electronic terminal according to an embodiment of this application. Detailed Implementation

[0031] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.

[0032] In the embodiments of this application, terms such as "first" and "second" are used to distinguish identical or similar items with essentially the same function and effect. For example, "first XX" and "second XX" are merely used to distinguish different XXs and do not limit their order. Those skilled in the art will understand that terms such as "first" and "second" do not limit the quantity or execution order, and that "first" and "second" do not necessarily imply that they are different.

[0033] It should be noted that, in the embodiments of this application, the words "exemplary" or "for example" indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0034] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple.

[0035] Before providing a further detailed description of the present invention, the nouns and terms used in the embodiments of the present invention are explained, and the nouns and terms used in the embodiments of the present invention are subject to the following interpretations:

[0036] <1> NDIR (Non-Dispersive Infrared) sulfur hexafluoride concentration sensor: This sensor measures the concentration of sulfur hexafluoride based on non-dispersive infrared technology. The core principle of NDIR gas analysis is based on the absorption characteristics of gases to infrared radiation of specific wavelengths. Different types of gas molecules absorb light energy within a specific infrared wavelength range, interact with infrared radiation, and undergo vibration and rotation, resulting in changes in molecular energy levels and forming unique absorption spectra. By measuring the changes in light intensity at these wavelengths, the concentration of the gas can be inferred.

[0037] Since existing methods for detecting SF6 gas leaks and leakage rates can only qualitatively locate the leak or only indirectly estimate the overall leakage rate, this application provides a method, device, system, medium, and terminal for detecting sulfur hexafluoride gas leaks based on adaptive adjustment sampling. This method can quickly locate the leak point at the detection site and directly, accurately, and quantitatively measure the SF6 gas leakage rate at that leak point.

[0038] To facilitate understanding of the embodiments of this application, in conjunction with Figure 1 and Figure 2 Detailed explanation. Figure 1 A schematic flowchart of a sulfur hexafluoride gas leak detection method based on adaptive adjustment sampling is shown in an embodiment of the present invention. Figure 2 This illustration shows a schematic diagram illustrating the working principle of a sulfur hexafluoride gas leak detection method based on adaptive sampling according to an embodiment of the present invention. The sulfur hexafluoride gas leak detection method based on adaptive sampling in this embodiment includes the following steps:

[0039] Step S11: Obtain the concentration, temperature, and flow rate of sulfur hexafluoride gas flowing into the sampling gas path from the leak point to be detected at the current time and after stabilizing for a preset time, as well as the gas pressure data in the sampling gas path.

[0040] Specifically, after identifying the leak point where sulfur hexafluoride gas is leaking, the concentration of sulfur hexafluoride gas flowing into the sampling gas path from the leak point is obtained at the current time and stabilized for a preset time. ), gas temperature ( ) and gas flow rate ( ), and the air pressure data within the sampling air path ( The unit for sulfur hexafluoride gas concentration is ppm (parts per million); the unit for gas temperature is degrees Celsius (°C); the unit for gas flow rate is milliliters per minute (mL / min); and the unit for gas pressure data is kilopascals (kPa).

[0041] Step S12: Determine whether the sulfur hexafluoride gas concentration is within the preset concentration detection range. If the sulfur hexafluoride gas concentration is not within the concentration detection range, adjust the sulfur hexafluoride gas concentration in the sampling gas path until it is stably within the concentration detection range.

[0042] By designing a preset concentration detection range and comparing the obtained sulfur hexafluoride gas concentration with the preset concentration detection range, the high-precision concentration sensor at the back end always works in the optimal range through adaptive sampling. Thus, a single sensor can cover a wide range from trace leaks (ppb level) to larger leaks (percentage level), solving the contradiction between high precision and wide range.

[0043] In some embodiments of this application, the process of adjusting the sulfur hexafluoride gas concentration in the sampling gas path until it stabilizes within the concentration detection range if the sulfur hexafluoride gas concentration is not within the detection range includes: if the sulfur hexafluoride gas concentration is lower than the lowest detection concentration of the detection range, increasing the sulfur hexafluoride gas concentration in the sampling gas path until it stabilizes within the detection range; and if the sulfur hexafluoride gas concentration is higher than the highest detection concentration of the detection range, decreasing the sulfur hexafluoride gas concentration in the sampling gas path until it stabilizes within the detection range.

[0044] In this embodiment, the preset concentration detection range is: ],in, This represents the lowest detectable concentration within the concentration detection range. This represents the highest detection concentration within the concentration detection range. When starting sulfur hexafluoride (SF6) gas leak detection, the SF6 gas concentration is continuously compared to the preset concentration detection range. If the SF6 gas concentration is lower than the lowest detection concentration within the concentration detection range... If the intake volume is reduced, the concentration of sulfur hexafluoride gas in the sampling gas path will increase until it stabilizes within the concentration detection range; if the concentration of sulfur hexafluoride gas is higher than the highest detection concentration in the concentration detection range ( If the gas concentration is too high, the intake volume needs to be increased to reduce the concentration of sulfur hexafluoride gas in the sampling gas path until it stabilizes within the concentration detection range.

[0045] Step S13: If the sulfur hexafluoride gas concentration is within the concentration detection range, the sulfur hexafluoride gas volume leakage rate is calculated based on the sulfur hexafluoride gas concentration and gas flow rate using a preset volume leakage rate calculation model. The sulfur hexafluoride gas mass leakage rate is calculated based on the sulfur hexafluoride gas concentration, gas temperature, gas flow rate, and gas pressure data using a preset mass leakage rate calculation model.

[0046] When the concentration of sulfur hexafluoride gas stabilizes within the concentration detection range for several seconds to tens of seconds ( When the current state is maintained and stabilized, the actual instantaneous concentration is calculated only after this state has stabilized. The unit is ppm), sulfur hexafluoride gas volume leakage rate and sulfur hexafluoride gas mass leakage rate, and directly outputs the sulfur hexafluoride gas volume leakage rate value that meets engineering standards. ) and easy-to-operate and manage quality leakage rate ( This avoids the errors and inconveniences of indirect estimation using traditional methods, while temperature and pressure compensation ensures the accuracy and comparability of calculation results under different environments. The true instantaneous concentration is displayed as the average concentration of all instantaneous concentrations recorded per second; the volumetric leakage rate is expressed in milliliters per second (mL / s); and the mass leakage rate is expressed in grams per year (g / y).

[0047] In some embodiments of this application, the preset volumetric leakage rate calculation model is as follows:

[0048] ;Formula (1)

[0049] in, This is the volumetric leakage rate, expressed in mL / s. This represents the concentration of sulfur hexafluoride gas, expressed in ppm. This represents the gas flow rate, measured in mL / min.

[0050] By adjusting the concentration of sulfur hexafluoride gas (ppm) is converted to volume fraction and combined with the stabilized gas flow rate. The calculated sulfur hexafluoride gas volume leakage rate value was obtained. .

[0051] In some embodiments of this application, the preset mass leakage rate calculation model is as follows:

[0052] ;Formula (2)

[0053] in, The mass leakage rate is expressed in g / y. This represents the concentration of sulfur hexafluoride gas, expressed in ppm. This represents the gas flow rate, measured in mL / min. This is air pressure data, and its unit is kPa; This refers to the gas temperature, and its unit is °C. The sampling frequency for sulfur hexafluoride gas concentration is expressed in Hertz (Hz). It represents time, and its unit is seconds (s).

[0054] By adjusting the concentration of sulfur hexafluoride gas (ppm) is converted to volume fraction, and the gas temperature is also converted. Convert to absolute temperature, combined with gas flow rate Gas temperature air pressure data ,based on The instantaneous leakage rate is calculated, and the average of the integral leakage rate per second is taken to obtain the mass leakage rate of sulfur hexafluoride gas. .

[0055] It should be noted that the gas temperature and pressure data in formula (2) are used to correct for the different densities of sulfur hexafluoride gas under different environments, so as to adapt to the use in different altitude regions.

[0056] Figure 3 This is a schematic block diagram of a sulfur hexafluoride gas leak detection device based on adaptive sampling provided in an embodiment of this application. Figure 3 As shown, the sulfur hexafluoride gas leak detection device 300 based on adaptive sampling adjustment includes:

[0057] The data acquisition module 301 is used to acquire the concentration, temperature and flow rate of sulfur hexafluoride gas flowing into the sampling gas path from the leak point to be detected at the current time and after stabilizing for a preset time, as well as the gas pressure data in the sampling gas path.

[0058] The concentration detection range determination module 302 is used to determine whether the concentration of sulfur hexafluoride gas is within the preset concentration detection range.

[0059] The instruction control module 303 is used to adjust the sulfur hexafluoride gas concentration in the sampling gas path until it is stably within the concentration detection range if the sulfur hexafluoride gas concentration is not within the concentration detection range; if the sulfur hexafluoride gas concentration is within the concentration detection range, the module calculates the sulfur hexafluoride gas volume leakage rate based on the sulfur hexafluoride gas concentration and gas flow rate using a preset volume leakage rate calculation model, and calculates the sulfur hexafluoride gas mass leakage rate based on the sulfur hexafluoride gas concentration, gas temperature, gas flow rate, and gas pressure data using a preset mass leakage rate calculation model.

[0060] It should be understood that the specific process of each module performing the above-mentioned steps has been described in detail in the above method embodiments, and will not be repeated here for the sake of brevity.

[0061] It should also be understood that the module division in the embodiments of this application is illustrative and only represents a logical functional division; in actual implementation, there may be other division methods. Furthermore, the functional modules in the various embodiments of this application can be integrated into a single processor, exist as separate physical entities, or be integrated into a single module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0062] Figure 4 This is a schematic diagram of a sulfur hexafluoride gas leak detection system based on adaptive sampling provided in an embodiment of this application. Figure 4 As shown, the sulfur hexafluoride gas leak detection system based on adaptive adjustment sampling includes: the sulfur hexafluoride gas leak detection device based on adaptive adjustment sampling, the sampling gas pump, and the sensor group device as described above.

[0063] The sampling gas pump is used to adjust the flow rate of the mixed gas flowing into the sampling gas path in order to control the concentration of sulfur hexafluoride gas in the sampling gas path.

[0064] The sensor array is used to collect the concentration, temperature and flow rate of sulfur hexafluoride gas flowing into the sampling gas path at a preset sampling time, as well as the gas pressure data in the sampling gas path.

[0065] The sulfur hexafluoride (SF6) gas leak detection device based on adaptive adjustment sampling is connected to the sampling gas pump and the sensor array. It is used to acquire the concentration, temperature, and flow rate of SF6 gas flowing into the sampling gas path from the leak point to be detected, collected by the sensor array and stabilized for a preset time, as well as the gas pressure data within the sampling gas path. It determines whether the SF6 gas concentration is within a preset concentration detection range. If the SF6 gas concentration is not within the detection range, the SF6 gas concentration in the sampling gas path is adjusted by the sampling gas pump until it stabilizes within the detection range. If the SF6 gas concentration is within the detection range, the SF6 gas volume leakage rate is calculated based on the SF6 gas concentration and flow rate using a preset volume leakage rate calculation model. Furthermore, the SF6 gas mass leakage rate is calculated based on the SF6 gas concentration, temperature, flow rate, and pressure data using a preset mass leakage rate calculation model.

[0066] Specifically, when precise leakage rate detection begins, the sulfur hexafluoride gas leakage detection device based on adaptive sampling adjusts the sulfur hexafluoride gas concentration according to the preset concentration detection range. The system compares and judges the results, and dynamically outputs control information to the micro-adjustable sampling gas pump to adjust the concentration of sulfur hexafluoride gas in the sampling gas path until it reaches the concentration detection range, or performs operations to calculate the volume leakage rate and mass leakage rate of sulfur hexafluoride gas, forming a closed-loop control circuit. This can control all the gas leaking from the leak point to be detected to enter the detection chamber of the sampling gas path and be within the optimal concentration detection range.

[0067] The sulfur hexafluoride gas leak detection system based on adaptive adjustment sampling proposed in this application is portable, easy to operate, and automatically completes range adaptation and calculation during the measurement process. The detection time for a single point can be significantly shortened. It is especially suitable for rapid on-site inspections and leak point location and quantitative assessment, which greatly improves the efficiency and standardization of on-site leak detection work, and enhances the level of intelligence.

[0068] In some embodiments of this application, the sensor array includes: an NDIR sulfur hexafluoride concentration sensor for collecting the concentration of sulfur hexafluoride gas flowing into the sampling gas path at a preset sampling time; a temperature sensor for collecting the temperature of the gas flowing into the sampling gas path at a preset sampling time; a flow sensor for collecting the flow rate of the gas flowing into the sampling gas path at a preset sampling time; and a pressure sensor for collecting the pressure data of the gas flowing into the sampling gas path at a preset sampling time.

[0069] Specifically, the NDIR sulfur hexafluoride concentration sensor collects the sulfur hexafluoride concentration in the sampling gas path at a preset sampling time, with a detection range of 0.1~1000ppm or 0.01~50ppm; the temperature sensor detects the gas temperature in the sampling gas path; the flow sensor detects the gas flow rate in real time at high frequency; and the pressure sensor detects the gas pressure data in the sampling gas path. By setting the NDIR sulfur hexafluoride concentration sensor, temperature sensor, flow sensor, and pressure sensor, the gas flow rate is collected at high frequency (e.g., 16Hz). Sulfur hexafluoride gas concentration Gas temperature and air pressure data These data are used to adjust the sampling rate and calculate the integral leakage rate. The sulfur hexafluoride gas leak detection device based on adaptive sampling simultaneously acquires the gas flow rate in real time. Sulfur hexafluoride gas concentration Gas temperature and air pressure data It collects, for example, 16 sets of data per second and stores them.

[0070] In some embodiments of this application, the sulfur hexafluoride gas leak detection system based on adaptive adjustment sampling further includes: a human-machine interface unit, and a sampling probe, a gas filter, a fluid controller, and an exhaust gas device connected sequentially in the sampling gas path; wherein, the human-machine interface unit is configured to perform human-machine interaction operations; the sampling probe is used to determine the leak point to be detected and guide the sulfur hexafluoride gas leaking from the leak point to the sampling gas path; the gas filter is used to filter impurities in the sulfur hexafluoride gas flowing into the sampling gas path; the fluid controller is used to stabilize the airflow of the sulfur hexafluoride gas flowing into the sampling gas path; and the exhaust gas device is used to process and discharge the exhaust gas.

[0071] The sampling probe, gas filter, sampling gas pump, fluid controller, sensor assembly, and exhaust gas device are sequentially connected in the sampling gas path. The sampling gas pump can also be placed after the sensor assembly; this application does not specifically limit its placement. Compared to the extremely high cost of equipment such as helium mass spectrometers, the mature NDIR sulfur hexafluoride concentration sensor and fluid control technology offer a cost advantage and greater engineering application value while achieving high-performance quantitative leak detection, thus enhancing the practicality and economy of the equipment.

[0072] The steps for using the sulfur hexafluoride gas leak detection system based on adaptive adjustment sampling in this application are as follows: Preparation and calibration stage: Power on and warm up, calibrate the zero point of the NDIR sulfur hexafluoride concentration sensor in clean air; Preliminary leak point location stage: Use the sampling probe to scan the suspected area of ​​the equipment, observe the change in the concentration reading of the NDIR sulfur hexafluoride concentration sensor, and preliminarily determine the leak point (the location where the concentration suddenly increases or the concentration is the highest); Point setting and start-up stage: Stably align the horn nozzle of the sampling probe with the leak point (e.g., 1-3 mm from the sealing surface), and start the "leakage rate detection" mode on the operation interface; Adaptive adjustment and stable measurement stage: The sulfur hexafluoride gas leak detection device based on adaptive adjustment sampling has a preset optimal detection concentration range. After starting the leak rate detection, it automatically executes closed-loop feedback control. During the measurement process, it automatically calculates, displays, and stores all process data. The specific process has been described in detail in the above method embodiments, and will not be repeated here for the sake of brevity; After the detection is completed, clean air is drawn in to clean the gas path.

[0073] For example, the sampling probe includes a flexible, shapeable sampling tube and a flared nozzle connected to the front end of the sampling tube. It moves and scans the surface of the device to be tested. If the concentration of sulfur hexafluoride gas suddenly increases, it indicates a gas leak, thus accurately locating the leak point and collecting the leaking gas flow. Specifically, the human-machine interface unit includes a display screen and buttons for parameter setting, starting measurement, leak rate measurement, and real-time display of concentration curves. A gas filtration device is used to remove dust, oil, and moisture from the gas.

[0074] Furthermore, to illustrate the working principle of the sulfur hexafluoride gas leak detection system based on adaptive sampling of this application in detail, a specific application scenario is used as an example. An ARM Cortex-M core processor control board runs an embedded algorithm to implement the above-described method, as follows:

[0075] Step S41: Use a device with a built-in NDIR sulfur hexafluoride concentration sensor with a range of 0-1000ppm. and The preset data acquisition frequencies are 10 ppm and 500 ppm, respectively. At 16Hz, a leak inspection was conducted on the flange of the GIS gas chamber of the simulated substation. The machine was started up, preheated, and calibrated in a clean environment.

[0076] Step S42: When the detection is started and the sampling probe is scanned to the area below the B-phase flange, the baseline concentration reading rises significantly to about 950 ppm, indicating a preliminary determination that there is a leak at that location.

[0077] Step S43: Fix the sampling probe nozzle 2mm above the point, and click "Leakage Rate Detection" on the touch screen of the human-machine interaction unit.

[0078] Step S44: Activate the sulfur hexafluoride gas leak detection device based on adaptive adjustment sampling. Due to the large leak, the detection concentration... Rapidly rises to exceed the sensor's range (exceeding) At this point, the sampling air pump immediately activates, increasing the sampling rate and introducing clean air; approximately 3 seconds later, The flow rate was successfully adjusted and stabilized at around 400 ppm. At this point, the flow sensor displayed the gas flow rate. The flow rate was stabilized at 1000 mL / min, the gas temperature was 25°C, and the gas pressure data were... The Pa is 101.3 kPa. It takes 1 second.

[0079] Step S45: Execute the automatic calculation step. After stabilizing the measurement for 20 seconds, calculate and display the leakage rate based on the collected and recorded data. The leakage rate is calculated according to formula (1). ; calculated according to formula (2) .

[0080] Step S46: Under the same experimental conditions, modify the preset optimal concentration detection range. and After repeating the above operation at 100 ppm and 900 ppm respectively, the feedback is executed to adjust the sampling rate and introduce clean air; after approximately 4 seconds... The flow rate was successfully adjusted and stabilized at around 800 ppm. At this point, the flow sensor displayed the gas flow rate. The flow rate was stabilized at 500 mL / min, the gas temperature was 25°C, and the gas pressure data were... The Pa is 101.3 kPa. It takes 1 second.

[0081] Step S47: Execute the automatic calculation step and calculate according to formula (1) to obtain ; calculated according to formula (2) .

[0082] Step S48: End the test and clean the air path.

[0083] Figure 5 This is a schematic block diagram of the electronic terminal provided in an embodiment of this application. Figure 5 As shown, the electronic terminal 500 includes at least one processor 501, a memory 502, at least one network interface 503, and a user interface 505. The various components in the electronic terminal 500 are coupled together via a bus system 504. It is understood that the bus system 504 is used to implement communication between these components. In addition to a data bus, the bus system 504 also includes a power bus, a control bus, and a status signal bus. However, for clarity, in… Figure 5 The general will label all buses as bus systems.

[0084] The user interface 505 may include a monitor, keyboard, mouse, trackball, clicker, button, touchpad, or touch screen.

[0085] It is understood that memory 502 can be volatile memory or non-volatile memory, or both. Non-volatile memory can be read-only memory (ROM) or programmable read-only memory (PROM), used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as static random access memory (SRAM) and synchronous static random access memory (SSRAM). The memories described in the embodiments of this invention are intended to include, but are not limited to, these and any other suitable categories of memory.

[0086] In this embodiment of the invention, the memory 502 is used to store various types of data to support the operation of the electronic terminal 500. Examples of this data include: any executable program for operation on the electronic terminal 500, such as the operating system 5021 and application programs 5022; the operating system 5021 contains various system programs, such as the framework layer, core library layer, driver layer, etc., for implementing various basic services and handling hardware-based tasks. The application program 5022 may contain various applications, such as a media player, browser, etc., for implementing various application services. The methods provided in this embodiment of the invention can be included in the application program 5022.

[0087] The methods disclosed in the above embodiments of the present invention can be applied to processor 501, or implemented by processor 501. Processor 501 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in processor 501 or by instructions in the form of software. The processor 501 may be a general-purpose processor, a digital signal processor (DSP), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Processor 501 can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. General-purpose processor 501 may be a microprocessor or any conventional processor, etc. The steps of the accessory optimization method provided in the embodiments of the present invention can be directly reflected as being executed by a hardware decoding processor, or being executed by a combination of hardware and software modules in the decoding processor. The software module may be located in a storage medium, which is located in memory. The processor reads the information in the memory and combines it with its hardware to complete the steps of the aforementioned method.

[0088] In an exemplary embodiment, the electronic terminal 500 may be used by one or more application-specific integrated circuits (ASICs), DSPs, programmable logic devices (PLDs), or complex programmable logic devices (CPLDs) to execute the aforementioned method.

[0089] According to the method provided in the embodiments of this application, this application also provides a computer-readable storage medium storing program code, which, when executed on a computer, causes the computer to perform... Figures 1 to 2 The method of any of the embodiments shown.

[0090] As used in this specification, the terms "component," "module," "system," etc., are used to refer to computer-related entities, hardware, firmware, combinations of hardware and software, software, or software in execution. For example, a component can be, but is not limited to, a process running on a processor, a processor, an object, an executable file, an execution thread, a program, and / or a computer. As illustrated, applications running on computing devices and computing devices can both be components. One or more components may reside in a process and / or an execution thread, and components may be located on a single computer and / or distributed among two or more computers. Furthermore, these components can be executed from various computer-readable media on which various data structures are stored. Components can communicate, for example, via local and / or remote processes based on signals having one or more data packets (e.g., data from two components interacting with another component between a local system, a distributed system, and / or a network, such as the Internet interacting with other systems via signals).

[0091] Those skilled in the art will recognize that the various illustrative logical blocks and steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this application.

[0092] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0093] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0094] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0095] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0096] In the above embodiments, the functions of each functional unit can be implemented entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. A computer program product includes one or more computer instructions (programs). When the computer program instructions (programs) are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. Computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., high-density digital video discs, DVDs), or semiconductor media (e.g., solid-state disks, SSDs, etc.).

[0097] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0098] In summary, addressing the technical problem that existing technologies cannot accurately quantify SF6 leakage rates, this application provides a method, apparatus, system, medium, and terminal for detecting sulfur hexafluoride (SF6) gas leakage based on adaptive adjustment sampling. By determining whether the acquired SF6 gas concentration flowing into the sampling gas path from the leak point to be detected is within a preset concentration detection range, if the SF6 gas concentration is not within the detection range, the concentration is adjusted until it stabilizes within the detection range. If the SF6 gas concentration is within the detection range, the volumetric leakage rate is calculated based on the acquired and stabilized SF6 gas concentration and flow rate using a preset volumetric leakage rate calculation model. Furthermore, the mass leakage rate is calculated based on the acquired and stabilized SF6 gas concentration, temperature, flow rate, and pressure data using a preset mass leakage rate calculation model. This achieves high-precision measurement over a wide dynamic range and provides direct and accurate quantitative results for SF6 gas leakage rates. Therefore, this application effectively overcomes the various shortcomings of existing technologies and has high industrial applicability.

[0099] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A method for detecting sulfur hexafluoride gas leaks based on adaptive sampling adjustment, characterized in that, include: The concentration, temperature, and flow rate of sulfur hexafluoride gas flowing into the sampling gas path from the leak point to be detected are obtained at the current time and stabilized for a preset time, as well as the gas pressure data in the sampling gas path; Determine whether the sulfur hexafluoride gas concentration is within the preset concentration detection range. If the sulfur hexafluoride gas concentration is not within the concentration detection range, adjust the sulfur hexafluoride gas concentration in the sampling gas path until it is stably within the concentration detection range. If the sulfur hexafluoride gas concentration is within the concentration detection range, the sulfur hexafluoride gas volume leakage rate is calculated based on the sulfur hexafluoride gas concentration and gas flow rate using a preset volume leakage rate calculation model. The sulfur hexafluoride gas mass leakage rate is calculated based on the sulfur hexafluoride gas concentration, gas temperature, gas flow rate, and gas pressure data using a preset mass leakage rate calculation model.

2. The method for detecting sulfur hexafluoride gas leakage based on adaptive adjustment sampling according to claim 1, characterized in that, If the sulfur hexafluoride gas concentration is not within the concentration detection range, the sulfur hexafluoride gas concentration in the sampling gas path is adjusted until it stabilizes within the concentration detection range. The specific process includes: If the concentration of sulfur hexafluoride gas is lower than the lowest detection concentration in the concentration detection range, the concentration of sulfur hexafluoride gas in the sampling gas path is increased until it stabilizes within the concentration detection range. If the concentration of sulfur hexafluoride gas is higher than the highest detection concentration in the concentration detection range, then the concentration of sulfur hexafluoride gas in the sampling gas path is reduced until it stabilizes within the concentration detection range.

3. The method for detecting sulfur hexafluoride gas leakage based on adaptive adjustment sampling according to claim 1, characterized in that, The preset volume leakage rate calculation model is as follows: ； in, This is the volumetric leakage rate, expressed in mL / s. This represents the concentration of sulfur hexafluoride gas, expressed in ppm. This represents the gas flow rate, measured in mL / min.

4. The method for detecting sulfur hexafluoride gas leakage based on adaptive adjustment sampling according to claim 1, characterized in that, The preset mass leakage rate calculation model is as follows: ； in, The mass leakage rate is expressed in g / y. This represents the concentration of sulfur hexafluoride gas, expressed in ppm. This represents the gas flow rate, measured in mL / min. This is air pressure data, and its unit is kPa; This refers to the gas temperature, and its unit is °C. The sampling frequency for sulfur hexafluoride gas concentration is expressed in Hz. It represents time, and its unit is seconds (s).

5. A sulfur hexafluoride gas leak detection device based on adaptive adjustment sampling, characterized in that, The detection device includes: The data acquisition module is used to acquire the concentration, temperature and flow rate of sulfur hexafluoride gas flowing into the sampling gas path from the leak point to be detected at the current time and after stabilizing for a preset time, as well as the gas pressure data in the sampling gas path. The concentration detection range determination module is used to determine whether the concentration of sulfur hexafluoride gas is within the preset concentration detection range; The instruction control module is used to adjust the sulfur hexafluoride gas concentration in the sampling gas path until it is stably within the concentration detection range if the sulfur hexafluoride gas concentration is not within the concentration detection range; if the sulfur hexafluoride gas concentration is within the concentration detection range, the module calculates the sulfur hexafluoride gas volume leakage rate based on the sulfur hexafluoride gas concentration and gas flow rate using a preset volume leakage rate calculation model, and calculates the sulfur hexafluoride gas mass leakage rate based on the sulfur hexafluoride gas concentration, gas temperature, gas flow rate, and gas pressure data using a preset mass leakage rate calculation model.

6. A sulfur hexafluoride gas leak detection system based on adaptive adjustment sampling, characterized in that, include: The sulfur hexafluoride gas leak detection device, sampling pump, and sensor group device based on adaptive adjustment sampling as described in claim 5; The sampling gas pump is used to adjust the flow rate of the mixed gas flowing into the sampling gas path in order to control the concentration of sulfur hexafluoride gas in the sampling gas path. The sensor array is used to collect the concentration, temperature and flow rate of sulfur hexafluoride gas flowing into the sampling gas path at a preset sampling time, as well as the gas pressure data in the sampling gas path. The sulfur hexafluoride (SF6) gas leak detection device based on adaptive adjustment sampling is connected to the sampling gas pump and the sensor array. It is used to acquire the concentration, temperature, and flow rate of SF6 gas flowing into the sampling gas path from the leak point to be detected, collected by the sensor array and stabilized for a preset time, as well as the gas pressure data within the sampling gas path. It determines whether the SF6 gas concentration is within a preset concentration detection range. If the SF6 gas concentration is not within the detection range, the SF6 gas concentration in the sampling gas path is adjusted by the sampling gas pump until it stabilizes within the detection range. If the SF6 gas concentration is within the detection range, the SF6 gas volume leakage rate is calculated based on the SF6 gas concentration and flow rate using a preset volume leakage rate calculation model. Furthermore, the SF6 gas mass leakage rate is calculated based on the SF6 gas concentration, temperature, flow rate, and pressure data using a preset mass leakage rate calculation model.

7. The sulfur hexafluoride gas leak detection system based on adaptive adjustment sampling according to claim 6, characterized in that, The sensor assembly includes: An NDIR sulfur hexafluoride concentration sensor is used to collect the concentration of sulfur hexafluoride gas flowing into the sampling gas path at a preset sampling time. A temperature sensor is used to collect the temperature of the gas flowing into the sampling gas path at a preset sampling time; A flow sensor is used to collect the gas flow rate flowing into the sampling gas path at a preset sampling time; A pressure sensor is used to collect air pressure data flowing into the sampling air path at a preset sampling time.

8. The sulfur hexafluoride gas leak detection system based on adaptive adjustment sampling according to claim 6, characterized in that, Also includes: The human-machine interaction unit, and the sampling probe, gas filter, fluid controller and exhaust gas device connected in sequence in the sampling gas path; The human-computer interaction unit is configured to perform human-computer interaction operations; The sampling probe is used to determine the leak point to be detected and guide the sulfur hexafluoride gas leaking from the leak point to the sampling gas path; The gas filtration device is used to filter impurities in the sulfur hexafluoride gas flowing into the sampling gas path; The fluid controller is used to stabilize the flow of sulfur hexafluoride gas into the sampling gas path; The exhaust gas device is used to treat and discharge the exhaust gas.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method as described in any one of claims 1 to 4.

10. An electronic terminal, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the method as described in any one of claims 1 to 4.

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