1439 results about "Leak detection" patented technology

A system for AI-supported leak detection and localization in water distribution infrastructures, consisting of: a large number of distributed sensor nodes mounted along a water pipe, each sensor node comprising the following: a pressure sensor configured to measure local hydraulic pressure fluctuations within the pipeline with a resolution of at least 0.01 bar; a flow sensor configured to measure the volume flow within the pipeline with an accuracy of at least ±0.5% of the measured value; an acoustic sensor configured to detect vibration signatures caused by leaks in a frequency range between 50 Hz and 20 kHz; an embedded microcontroller with integrated analog-to-digital conversion circuitry for digitizing sensor outputs; a wireless communication module configured to transmit time-synchronized sensor data to a cloud-based processing platform; and a local energy subsystem with a rechargeable battery and an optional circuit for generating photovoltaic energy; the cloud-based processing platform includes an artificial intelligence engine that comprises the following: a data acquisition module configured to receive and decode the transmitted sensor data and to perform time alignment; a supervised learning module that is trained on historical data of flagged leaks and non-leaks to classify incoming sensor patterns; an unsupervised learning module configured to detect anomalies by modeling normal operating baselines of the pipeline; and a topology-aware localization module configured to determine leak coordinates using the topology of the pipeline network, modeling the propagation of hydraulic waves, and estimating the arrival time difference from multi-node acoustic detections; and wherein the system is configured to provide real-time leak alerts and georeferenced visualization via a remote monitoring interface.

The invention relates to the technical field of nondestructive testing, in particular to a leak detection and partial discharge digital imaging detection method and system based on acousto-optic fusion, and the method comprises the following steps: based on channel microphone array sound wave data in a partial discharge signal suspicious region, extracting a sound wave abnormal section, positioning a sound source, matching image edge features, and synchronously marking; and analyzing the phase change of the multi-frequency signal to judge a sound source concentration area, tracking the moving trend of a disturbance point, and outputting an acousto-optic fusion positioning trend track. According to the method, the partial discharge feature recognition sensitivity is improved through high-frequency peak paragraph screening and dominant frequency recognition, the abnormal region positioning precision is enhanced in combination with image edge extraction and sound source space matching, and acousto-optic synchronous positioning and trend trajectory display are achieved through multi-frequency signal phase analysis and image frame disturbance tracking. Through fusion of frequency domain feature extraction, image recognition, dynamic comparison and other actions, the spatial precision of abnormal source recognition and the multi-source fusion analysis efficiency are improved, and the partial discharge traceability and dynamic monitoring capability are enhanced.

The invention belongs to the technical field of leakage detection, and particularly relates to a leakage detection method based on multi-sensor time shift correction and deep learning. A plurality of sensors sensitive to leakage sound waves or vibration are arranged at different positions of a monitored pipeline or container and used for collecting leakage related signals; time alignment is carried out on the time sequence signals collected by the multiple sensors according to the position difference of the time sequence signals in the space; comparing and differentiating the plurality of sensor signals subjected to time alignment; modeling and updating environmental noise in real time, dynamically adjusting detection parameters according to noise level, continuously monitoring statistical characteristics of background signals, and establishing a noise model; a pre-trained deep learning model is used to carry out mode identification and classification determination on the signal after noise reduction processing; and the alarm and display module is used for triggering alarm and recording leakage information when suspected leakage is detected. According to the invention, weak leakage signals can be reliably detected under the condition of strong background noise.

Systems, methods, and devices for automated leak detection and resolution in a beverage dispensing system. A first signal associated with a peak dispensation pressure during beverage dispensation may be received, and after a time threshold, a second signal associated with a recovery dispensation pressure may be received. A malfunction, such as a leak, may be determined based on a difference between the first signal and the second signal exceeding a predetermined threshold. Automated reseating of the dispensation valve may be initiated to resolve the malfunction. Continuous monitoring and automated correction of leaks without requiring manual intervention are provided, improving reliability and reducing operational downtime in beverage dispensing systems.

The invention relates to the technical field of partial discharge detection, in particular to a leak detection and partial discharge detection method and system based on artificial intelligence, and the method comprises the following steps: obtaining a partial discharge pulse signal, extracting a phase mutation coordinate, analyzing an incremental feature, reconstructing a propagation waveform, constructing an amplitude gradient matrix, and screening a direction vector; and a backtracking path calculates a change rate to generate a time track, and track mapping and space positioning are completed in combination with image data. According to the method, the accuracy and the response speed of partial discharge detection are improved through multi-stage signal processing, extreme points and phase abrupt change are analyzed, more accurate discharge feature capture and equipment defect positioning are achieved, phase and amplitude data are combined, the discharge mode is recognized, a signal propagation path is reconstructed, the fault source positioning accuracy is improved, and the fault source positioning accuracy is improved. Through dynamic rendering, the intuition of a detection result is enhanced, real-time decision is supported, the method is more intelligent and efficient, the equipment fault risk is greatly reduced, and the safe operation level of power equipment is improved.

The invention discloses an intelligent ground mobile high-precision gas leakage inspection and source tracking system, and relates to the technical field of gas pipe network leakage detection and leakage point positioning analysis. The system is mainly composed of a mobile inspection platform, a mid-infrared laser detection device, a three-dimensional anemograph, an inertial navigation module, a GIS system, a GNSS navigation positioning system, a wireless communication module and an intelligent detection comprehensive platform, and multi-source information fusion calculation, a dynamic adaptive analysis model and a maximum likelihood estimation method are combined. According to the intelligent gas leakage detection system, autonomous inspection can be achieved in a complex environment, abnormal gas component data can be processed in real time, detected gas space-time distribution information is transmitted to an intelligent comprehensive platform through a wireless communication module, data sharing and monitoring are completed, and efficient detection and accurate positioning of gas leakage are achieved. The method is suitable for gas leakage monitoring and component tracking in the fields of urban gas pipe networks, industrial parks and environmental protection, and the efficiency and precision of gas detection are remarkably improved.

The invention discloses a blockage detection method, system and equipment for a flow measurement device and a medium, and relates to the field of blockage detection. The method comprises the following steps: acquiring an original pressure signal and an original flow signal of a to-be-measured flow measuring device, and generating an intrinsic mode function according to the original pressure signal and the original flow signal; extracting a time vector, a space vector and a frequency domain vector of the intrinsic mode function, obtaining an attention weight through a double-path cross attention mechanism, and performing weighted fusion on the time vector, the space vector, the frequency domain vector and the attention weight to obtain a multi-dimensional feature vector; inputting the multi-dimensional feature vector into a pre-trained blockage probability prediction model based on deep learning to obtain a blockage probability value; and constructing a state space according to the blockage probability value, the historical maintenance record and the equipment operation duration, balancing false alarm and leak detection punishment in combination with a reward function, and determining execution operation. By implementing the technical scheme provided by the invention, the accuracy and reliability of blockage detection are improved.

The invention relates to the technical field of energy storage, and discloses a fused salt heat storage tank leakage detection device which comprises a multi-mode sensing module used for monitoring temperature, conductivity and heat radiation changes caused by internal and external leakage of a heat storage tank in real time; the intelligent data processing module is used for receiving the multi-modal sensing data, performing fusion analysis and identifying leakage positions and severity; the leakage self-healing module is used for automatically blocking a leakage point and isolating a leakage area; the alarm module is used for providing sound-light alarm and information display of leakage; the data transmission and remote monitoring module is used for transmitting the detection data and the alarm information to a remote monitoring platform for real-time monitoring and maintenance; and the power supply and heat dissipation module is used for providing power support for the device and maintaining a stable operation environment. According to the invention, the device employs a multi-mode fusion scheme of optical fiber temperature sensing, conductivity sensing and infrared imaging technologies, and greatly improves the precision and coverage range of leakage detection.

The invention discloses a pipeline leakage detection device and method based on multi-modal data fusion, and relates to the technical field of pipeline safety monitoring. According to the device, modular sensor cabins (ultrasonic waves, LiDAR, millimeter wave radar and optics) are adopted for cooperative work, and high-precision leakage detection and positioning are achieved in combination with space-time registration, a cross-modal feature alignment network and a multi-level decision fusion mechanism. Through a dynamic weight distribution model and a multi-physical field joint inversion algorithm, the problems of low detection precision and poor anti-interference capability of a traditional single sensor are effectively solved. The method is suitable for detecting defects such as corrosion and leakage of metal and nonmetal pipelines, and has the advantages of high sensitivity, strong robustness and wide applicability.

According to the boiler tube wall thinning detection method based on multi-modal sensing fusion, multi-source data synchronous acquisition and deep fusion of a millimeter wave radar, an infrared thermal imager, a laser radar and a visible light camera are combined with a dynamic Bayesian optimization scanning strategy and a four-channel convolutional neural network classification algorithm; according to the invention, high-precision identification and full-coverage monitoring of boiler tube wall thinning defects are realized, the problem of leak detection of a traditional single sensor under complex working conditions is solved, furnace shutdown or manual intervention is not needed, the detection efficiency is improved, and safe, reliable and intelligent-decision nondestructive detection technical support is provided for high-risk scenes such as thermal power generation and the like.

The invention discloses an indoor gas leakage monitoring and intelligent joint control system, and belongs to the technical field of intelligent safety monitoring systems. Comprising a sensing layer, a network layer, a control layer and a platform layer, the sensing layer comprises a multi-sensor array and an edge computing node, the multi-sensor array is combined with a catalytic combustion sensor, an infrared sensor, a semiconductor sensor and a temperature and humidity sensor, and sensor data are fused through a weighting algorithm so as to reduce the false alarm rate; a temperature and humidity sensor dynamically adjusts a detection threshold value to adapt to different climate conditions, and an edge computing node is deployed with a lightweight machine learning model. Through multi-sensor data fusion and a weighting algorithm, the false alarm rate is reduced to be smaller than 0.1% per year, environment self-adaptive calibration and AI auxiliary decision making are performed, interference of alcohol, perfume and the like is effectively eliminated, different climate conditions are adapted, leakage judgment is completed at an equipment end through edge calculation, cloud delay is avoided, a multi-stage emergency strategy is provided, and intelligent safe ecology driven by the Internet of Things is constructed.

The invention belongs to the technical field of fused salt heat storage tank leakage detection, and discloses a device for fused salt heat storage tank leakage detection and a working method thereof. According to the device for detecting the leakage of the fused salt heat storage tank, a rotary supporting assembly is rotatably mounted on a base, and an equipment mounting frame is further mounted on the base; a plurality of spray heads and a plurality of cameras are arranged on the equipment mounting rack; one end of the detection cylinder is provided with a detection pipe and an air inlet pipe, and the other end is provided with an air outlet; one end provided with the air outlet is provided with a distance sensor, and the other end provided with the air outlet is further provided with a piston plate through an elastic assembly; the control unit is used for controlling rotation of the rotary supporting assembly, controlling opening and closing of the spray head, obtaining data collected by the distance sensor and obtaining data collected by the camera. According to the technical scheme, bubble visual monitoring and pressure change monitoring are combined, and the sensitivity and accuracy of leakage detection are improved.

A system of evaluating a mobile device includes a sensing device that captures data while a force is being applied to a display of the mobile device while the mobile device is held stationary; and a processing device to process the data and determine the force applied and a displacement of the display while the force is being applied.

A leak detection system includes a leak detection apparatus. The leak detection apparatus includes an electrode mesh and an insulative layer associated with the electrode mesh. The insulative layer is engageable with a conducting fluid containing component. The electrode mesh is configured to output an electric signal responsive to a conducting fluid reaching the electrode mesh through the insulative layer. The leak detection apparatus further includes a computing device configured to receive said electrical signal and associate said electrical signal with a leak event by correlating said electrical signal with a baseline electrical output of the electrode mesh.

Methods and systems for an air conditioning unit is provided. The air conditioning unit includes a housing having a first compartment and a second compartment separated from the first compartment by a partition disposed in the housing, the housing including an air inlet and an air outlet. A refrigerant circuit includes a compressor disposed in the first compartment. An air flow path extends through the second compartment. The air flow path is arranged to route air flow from the air inlet to the air outlet, and a blower is disposed in the air flow path. A refrigerant leak detection system is configured to detect a refrigerant leak within the housing. An inducer is disposed in the housing. The inducer is configured to move air from the first compartment into the air flow path upon detection of the refrigerant leak by the refrigerant leak detection system.

The invention belongs to the technical field of safety monitoring, and particularly relates to a liquid leakage detection alarm system based on optical detection and a method thereof. Comprising a plurality of liquid leakage monitoring alarm terminals, a plurality of portable comprehensive monitoring communication devices, a fixed comprehensive monitoring communication device, and necessary auxiliary devices such as a system server and a comprehensive alarm unit. The liquid leakage monitoring alarm terminal is internally provided with a liquid accumulation tank, and light emitted by a light emitting end in the liquid accumulation tank is received by a light receiving end. When a liquid leakage event occurs, leaked liquid flows into the liquid accumulation groove, the light receiving end cannot receive the light emitted by the emitting end, an output signal of the optical detection module changes, and the liquid leakage monitoring alarm terminal gives a liquid leakage sound-light alarm. And wireless signals are sent to the portable comprehensive monitoring communication machine and the fixed comprehensive monitoring communication machine to carry out remote alarm. The liquid leakage detector is suitable for leakage detection of all liquids, and has the outstanding advantages of simple structure, high reliability, high safety, high sensitivity, miniaturization, easy integration and the like.

The invention relates to the technical field of pipeline leakage detection, in particular to a pressure-bearing pipe leakage detection method, which is characterized by comprising the following steps of multi-mode signal active excitation, topological vibration mode adaptive modeling, intelligent signal fusion and denoising, accurate leakage positioning, leakage grade classification and intelligent early warning. According to the method, multi-mode signal active excitation, topological vibration mode self-adaptive modeling and intelligent signal fusion and denoising technologies are utilized, the limitation that a traditional method only depends on a single parameter and complex environment leakage signals are difficult to separate is broken through, and the method can adapt to working condition changes such as temperature, pressure and flow velocity in real time, so that the detection accuracy and reliability are remarkably improved; and meanwhile, through multi-sensor combined positioning, multi-modal data time sequence fusion and a leakage level classification and early warning mechanism based on fuzzy logic and LSTM, accurate calculation and timely alarm of a leakage position are realized, the misjudgment and leak detection risks are effectively reduced, and the safe operation and maintenance efficiency of industrial equipment is improved.

The invention relates to the technical field of data processing, in particular to a vacuum box helium leak detection equipment data processing method. The method comprises the following steps: acquiring a helium concentration signal, filtering the helium concentration signal to obtain a preprocessed concentration signal, setting a reference point of each data point, constructing a reference point set of each data point, and calculating the credibility of the reference points in the reference point set; determining the confidence weight of each reference point based on the credibility of the reference points; and taking the product of each confidence weight and the preprocessed concentration data of the corresponding reference point as a local contribution value, and taking the sum of a plurality of local contribution values as a final filtering result. The helium concentration data processing method and device have the effect of improving the helium concentration data processing accuracy.

The invention provides a steel shell concrete interface void detection system and method, and relates to the technical field of civil engineering structure health detection, and the system comprises a mobile scanning unit, an excitation unit, an infrared imaging unit, a signal processing and acquisition unit and a comprehensive analysis terminal. The method comprises the following steps: controlling a mobile scanning unit to carry out step-by-step impact excitation and signal acquisition so as to obtain a frequency diagram, and synchronously sampling by using an infrared thermal imager so as to obtain a thermal analysis diagram; and then binarizing the two images respectively, fusing the two images by adopting a noise suppression algorithm to generate a comprehensive image, and judging that the interface is void according to the fused image. According to the method, the high sensitivity of the impact echo method to the layering defect and the accurate description capability of the infrared thermal imaging method to the defect shape are fused, so that nondestructive, efficient and high-precision detection of the steel shell concrete interface void is realized, and the misjudgment and leak detection risks of a single method are effectively reduced.

The utility model discloses a stop valve leak detection tool which comprises an operation table and a stop valve body, a fixed box is fixedly installed on the right side of the top of the operation table, a sliding box is connected to the left end of the top of the operation table in a sliding mode, and a plurality of liquid outlet pipes are symmetrically installed on the opposite sides of the fixed box and the sliding box. The liquid outlet pipe is communicated with an inner cavity of the fixed box and an inner cavity of the sliding box, a plurality of stop valve supporting blocks are arranged between the sliding box and the fixed box, and the stop valve supporting blocks slide on the top of the operation table. The stop valve body is placed on the top of the stop valve supporting block, the liquid outlet pipe is connected with the stop valve body through sliding of the sliding box, the bright color leakage detection liquid is injected into the inner cavity of the stop valve body through the water pump, and whether the surface of the stop valve body leaks or not is observed so that the sealing performance of the stop valve body can be judged. The leak detection tool is simple in operation, can carry out leak detection operation on a plurality of stop valve bodies at the same time, and improves the efficiency.

The invention discloses an AMC sensor array spatial feature recognition and leakage point detection method based on deep learning, and relates to the technical field of sensors, and the method comprises the steps: carrying out the spatial correlation analysis of a preprocessing result, and extracting a spatial feature signal reflecting the spatial distribution characteristics of gas; decomposing the denoised spatial features by using an empirical mode decomposition algorithm to obtain a plurality of intrinsic mode components, and generating a reconstruction signal based on each intrinsic mode component; performing framing processing on the reconstructed signal by using a framing windowing technology, calculating an energy value and a zero-crossing rate of a corresponding frame based on a framing processing result, constructing a leakage sensing model in combination with the extracted spatial feature signal, and generating a leakage probability distribution sequence; and inputting the time sequence window sequence into a self-encoder, and performing gas leakage point detection in combination with a knowledge distillation mechanism and a comparative analysis technology. According to the invention, accurate extraction and de-noising processing of the spatial feature signals are realized, the signal quality is improved, and the detection precision is further improved.

The invention provides a machining method for improving the yield of a 2K negative pressure aluminum plate-fin heat exchanger. The machining method comprises the steps that a core body is manufactured; manufacturing an end socket; the core body is connected with the end socket to manufacture the heat exchanger; normal-temperature detection is conducted on the heat exchanger; performing low-temperature detection on the heat exchanger; the heat exchanger is subjected to cold shock treatment, and the background leakage rate and the vacuum degree of each heat exchange channel in the heat exchanger and the background leakage rate and the vacuum degree of the sealing device in the cooling process are obtained; and under the condition that the temperature is reduced to the preset temperature threshold value, low-temperature helium mass spectrum leakage detection is conducted on the heat exchanger, after low-temperature helium mass spectrum leakage detection is conducted, secondary vacuumizing is conducted, then third-time vacuumizing is conducted, the circulation is conducted till ith vacuumizing is conducted, and the total leakage rate is calculated, and i is an integer larger than 3. The heat exchanger with the micro leakage rate, high mechanical strength, compact size and high cleanliness can be obtained, and the machining efficiency and the yield are improved.

The invention relates to the technical field of oil pipe leakage detection, in particular to an underground oil pipe leakage detection system, which comprises an underground permanent monitoring unit, which comprises at least one optical fiber sensor, and the optical fiber sensor clings to the outer wall of a production oil pipe or is integrated in an oil pipe coupling and extends along the depth of a whole shaft; the ground signal processing and analyzing unit is in communication connection with the underground permanent monitoring unit; wherein the optical fiber sensor is used as a distributed temperature sensor and a distributed sound wave vibration sensor at the same time, real-time on-line monitoring of oil pipe leakage is achieved, early warning can be given out at the initial stage of leakage, the accuracy of leakage recognition is improved through collaborative analysis of bimodal sensing data, the false alarm situation is effectively reduced, and the reliability of oil pipe leakage detection is improved. A distributed measurement mode provides meter-scale spatial resolution, the depth position of a leakage point is accurately positioned, normal production operation does not need to be interrupted during system operation, and the operation cost of an oil field is reduced.

The invention relates to the technical field of sealing performance detection, in particular to a pressure vessel-oriented leakage detection method, device and system, and the method comprises the steps: respectively obtaining the acoustic emission signals of each detection sensor on the outer wall surface of a pressure vessel and a guard sensor right above the detection sensor, and the liquid level height at each moment; judging the appearing acoustic emission event; obtaining each event set and a noise interference degree corresponding to the event set, and dividing the event sets into a noise event set and a non-noise event set; and determining a sound source estimation value and a liquid drop estimation value to obtain a modal decomposition layer number, performing signal reconstruction on all modal components corresponding to non-noise through modal decomposition, and positioning the leakage position of the pressure vessel. According to the method, the number of decomposition layers of the modal decomposition algorithm is dynamically adjusted, insufficient decomposition or excessive decomposition of the mode of the acoustic emission signal is avoided, the filtering effect on the acoustic emission signal is improved, and the leakage point of the pressure vessel can be positioned more accurately.

A coolant leak detection and mitigation system for a rechargeable energy storage system having multiple battery cells arranged in individual battery modules includes a cooling system having a main coolant loop and multiple parallel coolant branches. Each coolant branch adjusts the temperature of one battery module using a portion of coolant from the main coolant loop. The cooling system also has flow-valve(s) for regulating and distributing the coolant from the main coolant loop across the coolant branches. An electronic controller is configured to monitor the cooling system for coolant loss and, in response to an indication of coolant loss, assess each coolant branch for a coolant leak. The controller is also configured to identify a coolant branch having a coolant leak and shut off, via the flow-valve(s), coolant flow into the coolant branch having the coolant leak.

The invention discloses a frequency domain ground penetrating radar pipe leakage detection method and system, and relates to the technical field of pipeline leakage detection, and the method comprises the steps: employing a frequency domain ground penetrating radar to carry out the whole pipe segment detection of a pipeline, and obtaining an original electromagnetic wave signal; preprocessing the original electromagnetic wave signal to obtain an echo signal; extracting time-frequency domain features of the echo signals, and screening the time-frequency domain features; identifying the screened time-frequency domain features by using a leakage identification model to obtain suspected leakage pipe sections; starting a microwave impedance measuring device at the position of the suspected leakage pipe section to obtain a reflection signal; and determining the axial position and the radial position of the leakage point according to the reflection signal. According to the method, the frequency domain ground penetrating radar is adopted for primary screening of the whole pipe section, after the suspected leakage pipe section is recognized, the microwave impedance technology is utilized for fine recognition, the wire for impedance measurement is only arranged in the high-risk pipe section, construction and use convenience is improved, and meanwhile the precision of the detection result is improved.

The invention relates to the technical field of fusion reactor vacuum leak detection, in particular to an unmanned aerial vehicle leak detection system and method based on array ultrasonic and infrared camera fusion. According to the technical scheme, the system comprises an upper computer and further comprises an unmanned aerial vehicle used for executing a flight task, an infrared camera and an array type ultrasonic detector, and the infrared camera is arranged at the end of the unmanned aerial vehicle and used for obtaining real-time environment information, controlling the flight path and detecting leakage points. According to the invention, non-contact and large-area rapid detection of vacuum chamber negative pressure leakage and fuel gas positive pressure leakage of the fusion device is realized through fusion and complementation of the infrared camera and the array ultrasonic detector in combination with high maneuverability of the unmanned aerial vehicle; the multi-scale ultrasonic array dynamic expansion design improves the detection efficiency and precision, the shielding shell guarantees the equipment stability in a strong radiation environment, the remote wireless control avoids the personnel exposure risk, finally, the safety is ensured, the leakage detection time is remarkably shortened, and the labor cost and the radiation hazard are reduced.

Systems and methods are disclosed for a lid insert and cover for use with a utility box having any type of instrument, e.g., a leak detection or geo-location instrument, with an antenna for transmitting any type of signals related to the instrument, e.g., a leak detection, geo-location or electrical current or load sensing signal. The insert may include a top plate configured to be mounted in an upper recess of the cover and a bottom plate configured to be mounted in a lower recess of the cover. The bottom plate may define a plurality of openings for fasteners, e.g., screws, bolts or other mechanical mounting mechanisms and / or zip-ties, that are configured for securing the instrument and / or its antenna within the box. When properly mounted therein, the antenna of such instruments can effectively transmit or receive signals into and out of the utility box.

A method for detecting a leak in a cooling system comprising a plurality of cooling units, a control device and a cooling system are provided. The method comprises adjusting operation of a first cooling unit of the plurality of cooling units. The method further comprises, while the first cooling unit is operating according to the adjusted operation, determining at least one parameter of the first cooling unit and operating at least one other cooling unit of the plurality of cooling units to compensate for the adjusted operation of the first cooling unit. The method further comprises comparing the at least one parameter to a reference value.

The invention relates to the technical field of electric digital data processing, in particular to a method and a system for monitoring the running state of leak detection equipment in an air tightness experiment, which comprises the following steps: acquiring historical pressure data and historical temperature data of the leak detection equipment under a normal working condition, and calculating the pressure range of the leak detection equipment; the range is adjusted based on the mean value and the standard deviation of the historical pressure, the ratio of the current temperature to the set standard temperature, the temperature compensation coefficient and the pressure compensation coefficient; an optimal pressure compensation coefficient and an optimal temperature compensation coefficient are obtained, and corrected pressure is calculated; if the corrected pressure exceeds a preset threshold value, timing is started, and if the duration of the threshold value exceeding the preset threshold value exceeds a set time threshold value, it is judged that the leakage detection equipment is abnormal. According to the invention, the problem of low accuracy of monitoring the operation state of the air tightness experiment leak detection equipment is solved.