CN118464320A - Method and system for detecting and positioning leakage point of high-pressure gas cylinder - Google Patents
Method and system for detecting and positioning leakage point of high-pressure gas cylinder Download PDFInfo
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Abstract
The invention relates to the technical field of air tightness detection, and discloses a method and a system for detecting and positioning leakage points of a high-pressure air cylinder, wherein the method comprises the following steps: arranging acoustic emission sensors around a gas cylinder to be detected, collecting vibration signals of the acoustic emission sensors to judge whether leakage points exist or not, and determining the positions and the number of the leakage points based on triangular positioning when judging that the leakage points exist; arranging an airflow sensor to collect leakage quantity of each leakage point in unit time and determining the leakage type of each leakage point; verifying the leakage type according to the positions of the leakage points; and determining an integrated index according to the leakage type and the leakage quantity of each leakage point, and determining the leakage grade according to the integrated index. The invention improves the efficiency and the precision of detecting and positioning the leakage point of the high-pressure gas cylinder, reduces the dependence on manual experience and shortens the reaction time of production adjustment.
Description
Technical Field
The invention relates to the technical field of air tightness detection, in particular to a method and a system for detecting and positioning leakage points of a high-pressure gas cylinder.
Background
A high pressure gas cylinder is a container specifically designed for storing and transporting high pressure gas, and materials are usually processed into the basic shape of a gas cylinder using a thermoforming or cold forming process. The strength and toughness of the cylinder material is enhanced by heat treatment processes (e.g., quenching and tempering) to ensure that it can withstand high pressure environments, and if the cylinder is made of multiple parts, it will be stitched together by a welding process to ensure gas tightness and structural integrity.
The air tightness of the high-pressure air cylinder is detected, it is important to detect and prevent cylinder leaks. However, conventional airtight detection methods, such as pressure loss detection, although capable of detecting whether or not there is a leak in the high-pressure gas cylinder, have significant drawbacks in locating a specific position of the leak and evaluating the leak condition. The method can not provide accurate leakage information, so that the production line can not be adjusted in time, and the problem is solved in a delayed manner. In addition, the traditional detection mode relies on the experience of workers and manual operation, so that time and labor are wasted, and the situation of low precision is easy to occur.
Therefore, a method and a system for detecting and positioning the leakage point of the high-pressure gas cylinder are urgently needed to solve the problems in the prior art.
Disclosure of Invention
In view of the above, the invention provides a method and a system for detecting and positioning a leakage point of a high-pressure gas cylinder, which aim to solve the problems that the detection precision of the leakage point of the current high-pressure gas cylinder is low, the leakage point of the current high-pressure gas cylinder cannot be accurately positioned and the experience level of workers is high.
The invention provides a method for detecting and positioning leakage points of a high-pressure gas cylinder, which comprises the following steps:
Uniformly arranging at least three acoustic emission sensors around a gas cylinder to be detected, filling gas into the gas cylinder to be detected, collecting vibration signals of the acoustic emission sensors, judging whether leakage points exist in the gas cylinder to be detected according to the vibration signals, and determining the positions and the number of the leakage points based on triangular positioning when judging that the leakage points exist;
Uniformly arranging air flow sensors around the gas cylinder to be detected, collecting leakage quantity of each leakage point in unit time, and determining the leakage type of each leakage point according to the leakage quantity;
Verifying the leakage type of each leakage point, when the leakage point is positioned on the bottle body, calculating whether the leakage type of the leakage point is correct or not based on historical leakage data, and when the leakage type of the leakage point is not correct, re-determining the leakage type of the leakage point by using a clustering algorithm; when the leakage point is positioned at the bottle mouth, verifying the leakage type of the leakage point based on infrared detection;
And determining an integrated index according to the leakage type and the leakage quantity of each leakage point, and determining the leakage grade according to the integrated index.
Further, determining the location and number of the leak points based on the triangulation includes:
the coordinates of the positions of the leakage points are as follows:
；
Wherein, the method comprises the following steps of ，）、（，) And [ (II) a ]，) Respectively representing the position coordinates of the first acoustic sensor, the position coordinates of the second acoustic sensor and the position coordinates of the third acoustic sensor, (x, y) represents the coordinates of the leakage point,Representing the difference in distance between the leak point and the first acoustic sensor and the second acoustic sensor,And the distance difference value between the leakage point and the first sound emission sensor and the third sound emission sensor is represented.
Further, when determining the leakage type of each leakage point according to the leakage amount, the method includes:
Comparing the leakage quantity with a preset first preset leakage quantity and a preset second preset leakage quantity respectively, wherein the first preset leakage quantity is smaller than the second preset leakage quantity, and determining the leakage type of each leakage point according to the comparison result;
When the leakage amount is smaller than or equal to a first preset leakage amount, determining the leakage type of the leakage point as an air hole;
When the leakage amount is larger than the first preset leakage amount and smaller than or equal to the second preset leakage amount, determining the leakage type of the leakage point as a crack;
and when the leakage amount is larger than a second preset leakage amount, determining the leakage type of the leakage point as joint seal failure.
Further, calculating whether the leakage type of the leakage point is correct based on the historical leakage data includes:
determining a historical data set with the same leakage type as the leakage point according to the historical leakage data, and acquiring historical leakage characteristics according to the historical data set, wherein the historical leakage characteristics comprise leakage quantity of the historical leakage point, position coordinates of the historical leakage point and pressure of the historical leakage point;
Calculating the similarity of the leakage point and the historical leakage characteristic by the following formula:
Wherein, 、AndRepresents a weight coefficient, V represents a leakage amount of the leakage point, V1 represents a leakage amount of the history leakage point, P represents a leakage point pressure, P1 represents a history leakage point pressure,The distance of the leakage point position from the historical leakage point position is represented, and S represents the similarity.
Further, when calculating whether the leakage type of the leakage point is correct based on the historical leakage data, the method further comprises:
comparing the similarity S with a preset similarity threshold value Smin, and judging whether the leakage type of the leakage point is correct or not according to the comparison result;
when S is more than or equal to Smin, judging that the leakage type of the leakage point is correct;
When S is less than Smin, the leakage type of the leakage point is judged to be incorrect.
Further, when determining that the leakage type of the leakage point is incorrect, re-determining the leakage type of the leakage point by using a clustering algorithm includes:
obtaining representative data of each leakage type according to the historical leakage data, and combining the representative data with leakage characteristics of the leakage points to establish an aggregate data set;
Extracting a feature vector of each data in the aggregated data set and determining important features;
Determining the number k of expected clusters as 3, and initializing parameters of Gaussian distribution;
Calculating the probability that each data in the aggregated data set belongs to each Gaussian distribution, and obtaining a responsibility value;
And selecting the cluster with the largest responsibility value as the leakage type of the data.
Further, when verifying the leakage type of the leakage point based on infrared detection, the method includes:
acquiring a temperature image of the leakage point based on infrared detection, and extracting temperature characteristics according to the temperature image;
When the temperature characteristic is that the temperature gradient is small, the temperature of the diffusion area is uniform, and the diffusion form is an elongated linear shape, judging the leakage type of the leakage point to be a crack;
When obvious temperature hot spots appear around the leakage points, the temperature of the leakage points is higher, and the temperature gradient is large, judging the leakage type of the leakage points as air holes;
And when the temperature of the leakage point is rapidly reduced or increased and the temperature gradient is large and the diffusion form is irregular, judging that the leakage type of the leakage point is a sealing failure.
Further, when determining the comprehensive index according to the leakage type and the leakage amount of each leakage point, the method comprises the following steps:
Wherein, Represents a weight coefficient, nn represents the number of leakage points of the n-th leakage type, vn represents the average leakage amount of the leakage points under the n-th leakage type, m represents the leakage type, m=3,Indicating the composite index.
Further, when determining the leakage level according to the comprehensive index, the method includes:
comparing the comprehensive index with a first preset comprehensive index and a second preset comprehensive index respectively, wherein the first preset comprehensive index is smaller than the second preset comprehensive index, and determining the leakage grade according to the comparison result;
When the comprehensive index is smaller than or equal to the first preset comprehensive index, determining the leakage grade as a third preset leakage grade;
when the comprehensive index is larger than the first preset comprehensive index and smaller than or equal to the second preset comprehensive index, determining the leakage grade as a second preset leakage grade;
When the comprehensive index is larger than a second preset comprehensive index, determining the leakage grade as a first preset leakage grade;
The first preset leakage level indicates that the leakage condition of the gas cylinder to be detected is higher than a second preset leakage level, and the second preset leakage level indicates that the leakage condition of the gas cylinder to be detected is higher than a third preset leakage level.
Compared with the prior art, the invention has the beneficial effects that: by uniformly arranging a plurality of acoustic emission sensors around the gas cylinder to be detected, vibration signals generated by gas leakage can be accurately collected, and the positions and the number of the leakage points are determined by utilizing the signals through a triangulation method. In addition, the uniformly arranged air flow sensors can collect the leakage quantity of each leakage point in real time, and further judge different leakage types, such as cracks, air holes or sealing failure, and the like according to the leakage quantity. In order to further improve the detection precision, the detection result is verified and optimized by combining the similarity calculation and the clustering algorithm based on the historical data, so that the type judgment of each leakage point is ensured to be more accurate. When the leakage point is positioned on the bottle body, comparing and verifying through historical leakage data, and reclassifying by using a clustering algorithm if necessary; and when the leakage point is positioned at the bottle mouth, the leakage type is rapidly and accurately verified based on the infrared detection technology. The number, the type and the leakage quantity of each leakage point are comprehensively considered, and the comprehensive index is calculated and used for measuring the leakage state of the whole gas cylinder and determining the corresponding leakage grade. Reflects the influence of each leakage point and is helpful for formulating maintenance and repair strategies. The efficiency and the precision of the high-pressure gas cylinder leakage detection are improved, the dependence on the artificial experience is reduced, and the reaction time of production adjustment is shortened.
On the other hand, the application also provides a high-pressure gas cylinder leakage point detection and positioning system, which is used for applying the high-pressure gas cylinder leakage point detection and positioning method, and comprises the following steps:
The acquisition unit is configured to uniformly arrange at least three acoustic emission sensors around the gas cylinder to be detected, charge gas into the gas cylinder to be detected, acquire vibration signals of the acoustic emission sensors, judge whether leakage points exist in the gas cylinder to be detected according to the vibration signals, and determine the positions and the number of the leakage points based on triangular positioning when the existence of the leakage points is judged;
The judging unit is configured to uniformly arrange air flow sensors around the to-be-detected air cylinder, collect leakage amount of each leakage point in unit time and determine leakage type of each leakage point according to the leakage amount;
The processing unit is configured to verify the leakage type for each leakage point position, calculate whether the leakage type of the leakage point is correct based on historical leakage data when the leakage point is positioned on a bottle body, and re-determine the leakage type of the leakage point by using a clustering algorithm when the leakage type of the leakage point is determined to be incorrect; when the leakage point is positioned at the bottle mouth, verifying the leakage type of the leakage point based on infrared detection;
and the early warning unit is configured to determine an integrated index according to the leakage type and the leakage quantity of each leakage point and determine the leakage grade according to the integrated index.
It can be appreciated that the method and the system for detecting and positioning the leakage point of the high-pressure gas cylinder have the same beneficial effects and are not described herein.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 is a flow chart of a method for detecting and positioning leakage points of a high-pressure gas cylinder according to an embodiment of the present invention;
fig. 2 is a functional block diagram of a high-pressure gas cylinder leakage point detection positioning system according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
In some embodiments of the present application, referring to fig. 1, the present embodiment provides a method for detecting and positioning a leakage point of a high-pressure gas cylinder, including:
S100: at least three acoustic emission sensors are uniformly arranged around the gas cylinder to be detected, gas is filled into the gas cylinder to be detected, vibration signals of the acoustic emission sensors are collected, whether leakage points exist in the gas cylinder to be detected or not is judged according to the vibration signals, and when the existence of the leakage points is judged, the positions and the quantity of the leakage points are determined based on triangular positioning.
S200: and uniformly arranging air flow sensors around the air cylinder to be detected, collecting leakage quantity of each leakage point in unit time, and determining the leakage type of each leakage point according to the leakage quantity.
S300: verifying the leakage type aiming at each leakage point position, calculating whether the leakage type of the leakage point is correct or not based on historical leakage data when the leakage point is positioned on the bottle body, and re-determining the leakage type of the leakage point by using a clustering algorithm when the leakage type of the leakage point is determined to be incorrect; and when the leakage point is positioned at the bottle mouth, verifying the leakage type of the leakage point based on infrared detection.
S400: and determining an integrated index according to the leakage type and the leakage quantity of each leakage point, and determining the leakage grade according to the integrated index.
Specifically, at least three acoustic emission sensors are uniformly arranged around the cylinder to be detected in S100, and the acoustic emission sensors are arranged at different positions of the cylinder to ensure full coverage and accurately capture acoustic signals emitted by the leakage points. The high-pressure gas is filled into the gas cylinder to simulate normal use conditions, and in the gas filling process, any leakage can generate weak sound waves, and the sound waves can be captured by the acoustic emission sensor in real time. The characteristics of vibration signals received by the sensor are extracted through high-frequency sampling and signal processing technology, and the accurate position of the leakage point is calculated by utilizing the time difference between the signals and applying a triangular positioning technology. If multiple acoustic emission sensors are used, three distinct vibration signals can be selected for triangulation. In S200, a plurality of air flow sensors are uniformly arranged at different positions of the air bottle so as to comprehensively capture the leaked air flow, and the air flow sensors monitor the air leakage amount of each leakage point in real time in unit time. And primarily judging the type of the leakage point according to the size and the characteristics of the leakage quantity. And S300, verifying the preliminary judgment, and selecting different verification methods according to the positions of the leakage points. Comparing the characteristics of the current leakage point with the past known leakage type based on the historical data and the similarity model aiming at the bottle body. If the preliminary determination of the leak type is found to be incorrect, the clustering algorithm is used to re-analyze and classify. Infrared detection technology is used for the bottle mouth to detect the infrared absorption characteristic or temperature change of the gas so as to verify the leakage type. The type, number and leakage amount of each leakage point are collected in S400, and an overall index is calculated based on the data, so that the leakage condition of the gas cylinder is classified into different grades.
It can be understood that by introducing the acoustic emission sensor and the air flow sensor and combining the triangular positioning and high-precision air flow detection technology, the accurate positioning and real-time monitoring of the leakage point of the high-pressure air bottle are realized. Compared with the traditional pressure loss detection method, the method not only can determine whether leakage exists, but also can provide specific leakage position and detailed leakage type information, thereby remarkably improving the detection precision and efficiency. Meanwhile, the leakage type is verified and reclassified by utilizing historical data and a clustering algorithm, and the application of the infrared technology in the bottleneck area ensures the accurate identification and response of complex leakage conditions. The calculation of the comprehensive index provides a comprehensive evaluation standard, and reduces the dependence on manual experience.
In some embodiments of the present application, determining the location and number of leak points based on triangulation includes:
the coordinates of the positions of the leakage points are as follows:
；
Wherein, the method comprises the following steps of ，）、（，) And [ (II) a ]，) Respectively representing the position coordinates of the first acoustic sensor, the position coordinates of the second acoustic sensor and the position coordinates of the third acoustic sensor, (x, y) represents the coordinates of the leakage point,Representing the difference in distance between the leak point and the first acoustic sensor and the second acoustic sensor,And the distance difference value between the leakage point and the first sound emission sensor and the third sound emission sensor is represented.
It can be appreciated that by employing a triangulation method in combination with a plurality of acoustic emission sensors, the accuracy and efficiency of high pressure gas cylinder leak detection is improved. The traditional detection method can only judge whether the gas cylinder has leakage or not, and can not provide specific position and quantity information of leakage points. In contrast, the triangulation method can accurately locate the position of a leak point by using the time difference and the distance difference between sensors, and can effectively distinguish and locate even when there are a plurality of leak points. Meanwhile, the method reduces dependence on manual experience, and can rapidly and accurately position leakage, so that timeliness of production line adjustment and effectiveness of decision making are improved, and safety and reliability of the gas cylinder are enhanced.
In some embodiments of the present application, determining the leak type of each leak point based on the leak quantity includes: comparing the leakage quantity with a preset first preset leakage quantity and a preset second leakage quantity respectively, wherein the first preset leakage quantity is smaller than the second preset leakage quantity, and determining the leakage type of each leakage point according to the comparison result;
Specifically, when the leakage amount is smaller than or equal to a first preset leakage amount, determining the leakage type of the leakage point as an air hole; when the leakage amount is larger than the first preset leakage amount and smaller than or equal to the second preset leakage amount, determining the leakage type of the leakage point as a crack; and when the leakage amount is larger than a second preset leakage amount, determining the leakage type of the leakage point as joint seal failure.
It will be appreciated that the inherent differences in physical characteristics and leakage behaviour of different types of leakage enable a quick and efficient classification of the type of leakage by comparing the amount of leakage to a preset threshold. Small pores (air holes) typically exhibit low leakage due to small pore size and limited flow. The crack, because of its combination of length and width, affects gas flow, the amount of leakage is between small holes and fully open joint failure. The failure of the joint seal, either due to the large opening or complete loss of seal, allows a significant amount of gas to leak at a higher rate, resulting in a maximum amount of leakage. By the comparison operation, the type of the leak point is rapidly classified. Complex data processing and analysis time is reduced, so that the system can quickly respond, and the system is suitable for application scenes needing real-time monitoring. The leakage type is timely and accurately identified and classified, so that the processing procedure can be timely adjusted, and the correction time can be reduced.
In some embodiments of the application, calculating whether the leak type of the leak point is correct based on the historical leak data includes: determining a historical data set with the same leakage type as the leakage point according to the historical leakage data, and acquiring historical leakage characteristics according to the historical data set, wherein the historical leakage characteristics comprise leakage amount of the historical leakage point, position coordinates of the historical leakage point and pressure of the historical leakage point;
The similarity of the leakage point to the historical leakage characteristics is calculated by:
Wherein, 、AndRepresents a weight coefficient, V represents a leakage amount of the leakage point, V1 represents a leakage amount of the history leakage point, P represents a leakage point pressure, P1 represents a history leakage point pressure,The distance of the leakage point position from the historical leakage point position is represented, and S represents the similarity.
In some embodiments of the present application, when calculating whether the leak type of the leak point is correct based on the historical leak data, further comprising: comparing the similarity S with a preset similarity threshold value Smin, and judging whether the leakage type of the leakage point is correct or not according to the comparison result;
Specifically, when S is more than or equal to Smin, judging that the leakage type of the leakage point is correct; when S is less than Smin, the leakage type of the leakage point is judged to be incorrect.
It will be appreciated that by comparing with historical data, the leak type can be more accurately identified and classified, avoiding errors from simple threshold decisions. Historical leakage data can be continuously accumulated and updated, and the judgment capability and adaptability are gradually improved. Reliable decision results can still be provided in the face of new or unseen leak types. The leakage type is automatically judged by using similarity calculation, so that dependence on manual experience and operation is reduced, and the detection and classification efficiency is improved.
In some embodiments of the present application, when determining that the leak type of the leak is incorrect, re-determining the leak type of the leak using a clustering algorithm includes:
Obtaining representative data of each leakage type according to the historical leakage data, and combining the representative data with leakage characteristics of the leakage points to establish an aggregate data set;
Extracting a feature vector of each data in the aggregated data set and determining important features;
Determining the number k of expected clusters as 3, and initializing parameters of Gaussian distribution;
calculating the probability that each data in the aggregated data set belongs to each Gaussian distribution, and obtaining a responsibility value;
And selecting the cluster with the largest responsibility value as the leakage type of the data.
It can be appreciated that the use of a clustering algorithm to redetermine the leakage type avoids errors caused by relying only on preliminary judgment and improves the classification accuracy of the system. The Gaussian mixture model allows the system to automatically adjust classification parameters according to the natural distribution of the data, and adapt to different leakage types and data modes.
In some embodiments of the application, verifying the leak type of the leak based on infrared detection includes: acquiring a temperature image of the leakage point based on infrared detection, and extracting temperature characteristics according to the temperature image;
Specifically, when the temperature characteristic is that the temperature gradient is small, the temperature of the diffusion area is uniform, and the diffusion form is an elongated linear shape, the leakage type of the leakage point is judged to be a crack; when obvious temperature hot spots appear around the leakage points, the temperature of the leakage points is higher, and the temperature gradient is large, the leakage type of the leakage points is judged to be an air hole; when the temperature of the leakage point is rapidly reduced or increased, the temperature gradient is large, and the diffusion form is irregular, the leakage type of the leakage point is judged to be seal failure.
It can be understood that the bottle mouth is a main interface for connecting the high-pressure gas bottle with the outside, and generally comprises a valve, a sealing ring and other structures, and the periphery of the bottle mouth is generally small in space, complex in environment and easy to be influenced by gas injection. In these cases, direct measurement of the air flow or acoustic signals may be disturbed and hindered, while infrared detection may acquire temperature change information contactlessly. By analyzing the temperature gradient, diffusion uniformity and diffusion morphology, the characteristics of the leakage points can be comprehensively evaluated, so that different types of leakage can be accurately distinguished. In the face of complex leakage conditions, the multi-dimensional feature extraction can still maintain high judgment accuracy.
In some embodiments of the present application, determining the composite index based on the leak type and leak amount of each leak point includes:
Wherein, Represents a weight coefficient, nn represents the number of leakage points of the n-th leakage type, vn represents the average leakage amount of the leakage points under the n-th leakage type, m represents the leakage type, m=3,Indicating the composite index.
In some embodiments of the application, determining the leakage level based on the composite index includes: the comprehensive index is respectively compared with a first preset comprehensive index and a second preset comprehensive index, the first preset comprehensive index is smaller than the second preset comprehensive index, and the leakage grade is determined according to the comparison result;
Specifically, when the composite index is less than or equal to the first preset composite index, determining the leakage level as a third preset leakage level; when the comprehensive index is larger than the first preset comprehensive index and smaller than or equal to the second preset comprehensive index, determining the leakage grade as a second preset leakage grade; when the comprehensive index is larger than the second preset comprehensive index, determining the leakage grade as a first preset leakage grade; the first preset leakage level indicates that the leakage condition of the gas cylinder to be detected is higher than the second preset leakage level, and the second preset leakage level indicates that the leakage condition of the gas cylinder to be detected is higher than the third preset leakage level.
It can be appreciated that by comparing the composite index with a preset threshold, the risk level of the gas cylinder can be quickly determined, which is helpful for quick decision and response. The management efficiency of the leakage condition of the gas cylinder is improved, and the uncertainty and the error of human judgment are reduced. The weight coefficient and the preset threshold value can be adjusted according to specific application requirements, so that the requirements of different types of gas cylinders and different application scenes are met, the types, the number and the average leakage amount of leakage are comprehensively considered, the detection result is more representative and comprehensive, and the limitation that the detection result depends on only a single index is avoided.
In the above embodiment, by uniformly arranging the plurality of acoustic emission sensors around the gas cylinder to be detected, vibration signals generated by gas leakage can be accurately collected, and the positions and the number of the leakage points are determined by using the signals through a triangulation method. In addition, the uniformly arranged air flow sensors can collect the leakage quantity of each leakage point in real time, and further judge different leakage types, such as cracks, air holes or sealing failure, and the like according to the leakage quantity. In order to further improve the detection precision, the detection result is verified and optimized by combining the similarity calculation and the clustering algorithm based on the historical data, so that the type judgment of each leakage point is ensured to be more accurate. When the leakage point is positioned on the bottle body, comparing and verifying through historical leakage data, and reclassifying by using a clustering algorithm if necessary; and when the leakage point is positioned at the bottle mouth, the leakage type is rapidly and accurately verified based on the infrared detection technology. The number, the type and the leakage quantity of each leakage point are comprehensively considered, and the comprehensive index is calculated and used for measuring the leakage state of the whole gas cylinder and determining the corresponding leakage grade. Reflects the influence of each leakage point and is helpful for formulating maintenance and repair strategies. The efficiency and the precision of the high-pressure gas cylinder leakage detection are improved, the dependence on the artificial experience is reduced, and the reaction time of production adjustment is shortened.
In another preferred mode based on the foregoing embodiment, referring to fig. 2, the present embodiment provides a high-pressure gas cylinder leakage point detection positioning system, configured to apply the high-pressure gas cylinder leakage point detection positioning method, including:
The acquisition unit is configured to uniformly arrange at least three acoustic emission sensors around the gas cylinder to be detected, charge gas into the gas cylinder to be detected, acquire vibration signals of the acoustic emission sensors, judge whether leakage points exist in the gas cylinder to be detected according to the vibration signals, and determine the positions and the number of the leakage points based on triangular positioning when judging that the leakage points exist;
The judging unit is configured to uniformly arrange air flow sensors around the air cylinder to be detected, collect leakage amount of each leakage point in unit time and determine leakage type of each leakage point according to the leakage amount;
The processing unit is configured to verify the leakage type for each leakage point position, calculate whether the leakage type of the leakage point is correct based on historical leakage data when the leakage point is positioned on the bottle body, and re-determine the leakage type of the leakage point by using a clustering algorithm when the leakage type of the leakage point is determined to be incorrect; when the leakage point is positioned at the bottle mouth, verifying the leakage type of the leakage point based on infrared detection;
and the early warning unit is configured to determine an integrated index according to the leakage type and the leakage quantity of each leakage point and determine the leakage grade according to the integrated index.
It can be appreciated that, in the above embodiment, by uniformly arranging a plurality of acoustic emission sensors around the cylinder to be detected, vibration signals generated by gas leakage can be accurately collected, and the positions and the number of the leakage points are determined by using the signals through a triangulation method, so that compared with the conventional pressure loss detection method, the technology can accurately locate the leakage points and evaluate the severity of the leakage points. In addition, the uniformly arranged air flow sensors can collect the leakage quantity of each leakage point in real time, and further judge different leakage types, such as cracks, air holes or sealing failure, and the like according to the leakage quantity. In order to further improve the detection precision, the detection result is verified and optimized by combining the similarity calculation and the clustering algorithm based on the historical data, so that the type judgment of each leakage point is ensured to be more accurate. When the leakage point is positioned on the bottle body, comparing and verifying through historical leakage data, and reclassifying by using a clustering algorithm if necessary; and when the leakage point is positioned at the bottle mouth, the leakage type is rapidly and accurately verified based on the infrared detection technology. The number, the type and the leakage quantity of each leakage point are comprehensively considered, and the comprehensive index is calculated and used for measuring the leakage state of the whole gas cylinder and determining the corresponding leakage grade. Reflects the influence of each leakage point and is helpful for formulating maintenance and repair strategies. The efficiency and the precision of the high-pressure gas cylinder leakage detection are improved, the dependence on the artificial experience is reduced, and the reaction time of production adjustment is shortened.
It will be appreciated by those skilled in the art that embodiments of the application may be provided as methods, systems, or computer program products. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flowchart and/or block of the flowchart illustrations and/or block diagrams, and combinations of flowcharts and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (10)
1. The method for detecting and positioning the leakage point of the high-pressure gas cylinder is characterized by comprising the following steps of:
Uniformly arranging at least three acoustic emission sensors around a gas cylinder to be detected, filling gas into the gas cylinder to be detected, collecting vibration signals of the acoustic emission sensors, judging whether leakage points exist in the gas cylinder to be detected according to the vibration signals, and determining the positions and the number of the leakage points based on triangular positioning when judging that the leakage points exist;
Uniformly arranging air flow sensors around the gas cylinder to be detected, collecting leakage quantity of each leakage point in unit time, and determining the leakage type of each leakage point according to the leakage quantity;
Verifying the leakage type of each leakage point, when the leakage point is positioned on the bottle body, calculating whether the leakage type of the leakage point is correct or not based on historical leakage data, and when the leakage type of the leakage point is not correct, re-determining the leakage type of the leakage point by using a clustering algorithm; when the leakage point is positioned at the bottle mouth, verifying the leakage type of the leakage point based on infrared detection;
And determining an integrated index according to the leakage type and the leakage quantity of each leakage point, and determining the leakage grade according to the integrated index.
2. The method for detecting and locating leakage points of high-pressure gas cylinders according to claim 1, wherein when determining the positions and the number of the leakage points based on the triangular positioning, the method comprises the following steps:
the coordinates of the positions of the leakage points are as follows:
；
Wherein, the method comprises the following steps of ，）、（，) And [ (II) a ]，) Respectively representing the position coordinates of the first acoustic sensor, the position coordinates of the second acoustic sensor and the position coordinates of the third acoustic sensor, (x, y) represents the coordinates of the leakage point,Representing the difference in distance between the leak point and the first acoustic sensor and the second acoustic sensor,And the distance difference value between the leakage point and the first sound emission sensor and the third sound emission sensor is represented.
3. The method for detecting and locating leakage points of high-pressure gas cylinders according to claim 1, wherein determining the leakage type of each leakage point according to the leakage amount comprises:
Comparing the leakage quantity with a preset first preset leakage quantity and a preset second preset leakage quantity respectively, wherein the first preset leakage quantity is smaller than the second preset leakage quantity, and determining the leakage type of each leakage point according to the comparison result;
When the leakage amount is smaller than or equal to a first preset leakage amount, determining the leakage type of the leakage point as an air hole;
When the leakage amount is larger than the first preset leakage amount and smaller than or equal to the second preset leakage amount, determining the leakage type of the leakage point as a crack;
and when the leakage amount is larger than a second preset leakage amount, determining the leakage type of the leakage point as joint seal failure.
4. A high pressure gas cylinder leak detection and location method as defined in claim 3, wherein when calculating whether the leak type of the leak is correct based on historical leak data, comprising:
determining a historical data set with the same leakage type as the leakage point according to the historical leakage data, and acquiring historical leakage characteristics according to the historical data set, wherein the historical leakage characteristics comprise leakage quantity of the historical leakage point, position coordinates of the historical leakage point and pressure of the historical leakage point;
Calculating the similarity of the leakage point and the historical leakage characteristic by the following formula:
Wherein, 、AndRepresents a weight coefficient, V represents a leakage amount of the leakage point, V1 represents a leakage amount of the history leakage point, P represents a leakage point pressure, P1 represents a history leakage point pressure,The distance of the leakage point position from the historical leakage point position is represented, and S represents the similarity.
5. The method for detecting and locating a leak in a high pressure gas cylinder according to claim 4, wherein when calculating whether the leak type of the leak is correct based on historical leak data, further comprising:
comparing the similarity S with a preset similarity threshold value Smin, and judging whether the leakage type of the leakage point is correct or not according to the comparison result;
when S is more than or equal to Smin, judging that the leakage type of the leakage point is correct;
When S is less than Smin, the leakage type of the leakage point is judged to be incorrect.
6. The method for detecting and locating a leak in a high pressure gas cylinder according to claim 5, wherein when it is determined that the leak type of the leak is incorrect, the method for redetermining the leak type of the leak using a clustering algorithm comprises:
obtaining representative data of each leakage type according to the historical leakage data, and combining the representative data with leakage characteristics of the leakage points to establish an aggregate data set;
Extracting a feature vector of each data in the aggregated data set and determining important features;
Determining the number k of expected clusters as 3, and initializing parameters of Gaussian distribution;
Calculating the probability that each data in the aggregated data set belongs to each Gaussian distribution, and obtaining a responsibility value;
And selecting the cluster with the largest responsibility value as the leakage type of the data.
7. The method for detecting and locating a leak in a high pressure gas cylinder according to claim 6, wherein when verifying a leak type of the leak based on infrared detection, comprising:
acquiring a temperature image of the leakage point based on infrared detection, and extracting temperature characteristics according to the temperature image;
When the temperature characteristic is that the temperature gradient is small, the temperature of the diffusion area is uniform, and the diffusion form is an elongated linear shape, judging the leakage type of the leakage point to be a crack;
When obvious temperature hot spots appear around the leakage points, the temperature of the leakage points is higher, and the temperature gradient is large, judging the leakage type of the leakage points as air holes;
And when the temperature of the leakage point is rapidly reduced or increased and the temperature gradient is large and the diffusion form is irregular, judging that the leakage type of the leakage point is a sealing failure.
8. The method for detecting and locating a leak point of a high pressure gas cylinder according to claim 7, wherein determining the integrated index according to the leak type and the leak amount of each leak point comprises:
Wherein, Represents a weight coefficient, nn represents the number of leakage points of the n-th leakage type, vn represents the average leakage amount of the leakage points under the n-th leakage type, m represents the leakage type, m=3,Indicating the composite index.
9. The method for detecting and locating a leak point of a high pressure gas cylinder according to claim 8, wherein determining a leak level based on the composite index comprises:
comparing the comprehensive index with a first preset comprehensive index and a second preset comprehensive index respectively, wherein the first preset comprehensive index is smaller than the second preset comprehensive index, and determining the leakage grade according to the comparison result;
When the comprehensive index is smaller than or equal to the first preset comprehensive index, determining the leakage grade as a third preset leakage grade;
when the comprehensive index is larger than the first preset comprehensive index and smaller than or equal to the second preset comprehensive index, determining the leakage grade as a second preset leakage grade;
When the comprehensive index is larger than a second preset comprehensive index, determining the leakage grade as a first preset leakage grade;
The first preset leakage level indicates that the leakage condition of the gas cylinder to be detected is higher than a second preset leakage level, and the second preset leakage level indicates that the leakage condition of the gas cylinder to be detected is higher than a third preset leakage level.
10. A high-pressure gas cylinder leakage point detection and positioning system for applying the high-pressure gas cylinder leakage point detection and positioning method according to any one of claims 1-9, characterized by comprising:
The acquisition unit is configured to uniformly arrange at least three acoustic emission sensors around the gas cylinder to be detected, charge gas into the gas cylinder to be detected, acquire vibration signals of the acoustic emission sensors, judge whether leakage points exist in the gas cylinder to be detected according to the vibration signals, and determine the positions and the number of the leakage points based on triangular positioning when the existence of the leakage points is judged;
The judging unit is configured to uniformly arrange air flow sensors around the to-be-detected air cylinder, collect leakage amount of each leakage point in unit time and determine leakage type of each leakage point according to the leakage amount;
The processing unit is configured to verify the leakage type for each leakage point position, calculate whether the leakage type of the leakage point is correct based on historical leakage data when the leakage point is positioned on a bottle body, and re-determine the leakage type of the leakage point by using a clustering algorithm when the leakage type of the leakage point is determined to be incorrect; when the leakage point is positioned at the bottle mouth, verifying the leakage type of the leakage point based on infrared detection;
and the early warning unit is configured to determine an integrated index according to the leakage type and the leakage quantity of each leakage point and determine the leakage grade according to the integrated index.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119043578A (en) * | 2024-10-30 | 2024-11-29 | 河北工程大学 | Detection method and system for end face seal |
| CN119309160A (en) * | 2024-12-16 | 2025-01-14 | 国家管网集团北方管道有限责任公司 | A natural gas leak quantitative detection method and system based on voiceprint |
| CN120062099A (en) * | 2025-02-20 | 2025-05-30 | 苏州锐昇聚创科技有限公司 | Method and system for determining operation health condition of vacuum pump |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106090628A (en) * | 2016-06-14 | 2016-11-09 | 东莞市联洲知识产权运营管理有限公司 | A gas pipeline leak location test system and location method thereof |
| CN114894382A (en) * | 2022-04-25 | 2022-08-12 | 中国矿业大学 | Gas leakage simulation test device and leakage source positioning method |
| CN115034271A (en) * | 2022-06-28 | 2022-09-09 | 南京信息工程大学 | Pressure vessel gas leakage acoustic identification method capable of automatically extracting features |
| EP4141402A1 (en) * | 2021-08-23 | 2023-03-01 | Airbus Operations GmbH | Structural health monitoring method for fluid containers |
| CN116718330A (en) * | 2023-08-09 | 2023-09-08 | 江西强普瑞石化设备科技有限公司 | Leakage monitoring method and leakage monitoring system for container |
| CN117968971A (en) * | 2024-03-28 | 2024-05-03 | 杭州微影软件有限公司 | Gas leakage amount detection method and device and electronic equipment |
| CN118190290A (en) * | 2024-03-27 | 2024-06-14 | 西安理工大学 | A pipeline air leakage detection and positioning method and system based on multi-source perception |
-
2024
- 2024-07-12 CN CN202410931172.4A patent/CN118464320B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106090628A (en) * | 2016-06-14 | 2016-11-09 | 东莞市联洲知识产权运营管理有限公司 | A gas pipeline leak location test system and location method thereof |
| EP4141402A1 (en) * | 2021-08-23 | 2023-03-01 | Airbus Operations GmbH | Structural health monitoring method for fluid containers |
| CN114894382A (en) * | 2022-04-25 | 2022-08-12 | 中国矿业大学 | Gas leakage simulation test device and leakage source positioning method |
| CN115034271A (en) * | 2022-06-28 | 2022-09-09 | 南京信息工程大学 | Pressure vessel gas leakage acoustic identification method capable of automatically extracting features |
| CN116718330A (en) * | 2023-08-09 | 2023-09-08 | 江西强普瑞石化设备科技有限公司 | Leakage monitoring method and leakage monitoring system for container |
| CN118190290A (en) * | 2024-03-27 | 2024-06-14 | 西安理工大学 | A pipeline air leakage detection and positioning method and system based on multi-source perception |
| CN117968971A (en) * | 2024-03-28 | 2024-05-03 | 杭州微影软件有限公司 | Gas leakage amount detection method and device and electronic equipment |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119043578A (en) * | 2024-10-30 | 2024-11-29 | 河北工程大学 | Detection method and system for end face seal |
| CN119309160A (en) * | 2024-12-16 | 2025-01-14 | 国家管网集团北方管道有限责任公司 | A natural gas leak quantitative detection method and system based on voiceprint |
| CN120062099A (en) * | 2025-02-20 | 2025-05-30 | 苏州锐昇聚创科技有限公司 | Method and system for determining operation health condition of vacuum pump |
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