A gas leak metering detection device

Abstract

The application discloses a kind of gas leakage metering detection devices, specifically related to the field of gas analysis using infrared light, including installation in the elastic restraint member of sealed container with cover, elastic restraint member is composed of elastic ring, positioning sheet and elastic band, the number of elastic band is at least provided with four, elastic band is fixedly installed at the top of elastic ring, positioning sheet is fixedly installed at the top of elastic band, infrared receiver and infrared emitter are respectively installed in the left and right sides of elastic band, the end of infrared receiver is installed with filter sheet, the top of positioning sheet is installed with detection system, and infrared receiver and infrared emitter are electrically connected to detection system by spiral wire.The four infrared transmission detection areas are constructed in the bottle mouth, and the dynamic trend identification and absorption rate correction mechanism are combined, to realize the non-destructive, continuous and quantifiable detection of trace gas leakage in the sealed container.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of gas analysis technology using infrared light, and more particularly, to a gas leakage metering detection device. BACKGROUND

[0002] In the storage application scenario taking a Mason bottle, a glass jar or the like small closed container as a carrier, a small amount of gas leakage is not conducive to real-time metering detection and non-destructive detection.

[0003] The current mainstream detection means are mostly applied to open spaces or large closed cavities, and rely on infrared sensors or gas sampling methods for leakage warning, but generally have problems such as a large response range and an inability to detect closely to the bottle mouth.

[0004] At the same time, although the contact type sensor and the sampling detection have local sensing capability, they often need to destroy the container sealing and do not have continuous monitoring capability. SUMMARY

[0005] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present application provide a gas leakage metering detection device, which realizes non-destructive, continuous and quantifiable detection of trace gas leakage in a closed container by constructing four infrared transmission detection areas at the bottle mouth and combining a dynamic trend identification and absorption rate correction mechanism, so as to solve the problems raised in the above background art.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical scheme: a gas leakage metering detection device, comprising an elastic restraint member installed on a closed container with a cover, the elastic restraint member is composed of an elastic ring, a positioning sheet and an elastic band, the number of the elastic bands is at least four, the elastic bands are fixedly installed on the top of the elastic ring, the positioning sheet is fixedly installed on the top of the elastic band, the left and right sides of the elastic band are respectively provided with an infrared receiver and an infrared emitter, the end of the infrared receiver is provided with a filter sheet, the top of the positioning sheet is provided with a detection system, and the infrared receiver and the infrared emitter are electrically connected to the detection system through a spiral wire.

[0007] The area between the elastic ring and the positioning sheet is divided into four detection areas by the four elastic bands, each detection area comprises at least one group of infrared detection units, and each group of infrared detection units is composed of an infrared receiver, an infrared emitter and a filter sheet.

[0008] The detection system acquires the infrared absorption rate sequence of the four detection areas, extracts the change feature of any detection area when the detection area meets the preset leakage threshold condition, and corrects the other detection areas based on the change feature of the detection area.

[0009] In a preferred embodiment, the detection system comprises a collection module, an identification module, a similarity calculation module, an error correction module and an output module.

[0010] The collection module is configured to collect the infrared absorption rate sequence of the first to fourth detection areas in a preset time interval, respectively, to obtain the first absorption sequence, the second absorption sequence, the third absorption sequence and the fourth absorption sequence; the infrared absorption rate of the first to fourth absorption sequences is represented as 、 、 and .

[0011] In a preferred embodiment, in the collection module, for the first to fourth detection areas, the instantaneous received light intensity value in the corresponding time interval is collected through the optical channel constructed between the infrared emitter and the infrared receiver; a nonlinear transmission mapping model is constructed, which is used to calculate the infrared absorption rate value of each detection area at time ;

[0012] For any th detection area , the infrared absorption rate at time is calculated as:

[0013] ;

[0014] Wherein, the definition of the nonlinear function is:

[0015] ;

[0016] Wherein, the infrared absorption rate represents the infrared absorption rate of the th detection area at time ; is the reference light intensity output by the infrared emitter of the th detection area; is the transmitted light intensity received by the infrared receiver of the th detection area at time ; is the structural inclination disturbance function of the th detection area; represents the infrared channel response time delay of the detection system at time ; represents the spatial dispersion of the infrared channel of the th detection area at time .

[0017] In a preferred embodiment, the identification module is configured to set the detection region where the current infrared absorption rate value in any absorption sequence is greater than a preset leakage threshold as a trigger region, extract a main variation curve of the trigger region absorption sequence in the time interval, denoted as a first reference vector . .

[0018] In a preferred embodiment, a main variation curve function is constructed in the identification module, and the main variation curve function is configured to generate the first reference vector of the trigger region :

[0019] ;

[0020] wherein the weight function is defined as:

[0021] ;

[0022] wherein the first reference vector represents a discrete representation of the main variation curve of the trigger region in the interval ; represents the infrared absorption rate value of the trigger region at time ; represents the average value of the infrared absorption rate of the trigger region in the interval ; is an S-shaped mapping function; represents the first-order derivative of the curve after the nonlinear mapping of the absorption rate; the weight function represents the weighting function; is a local importance function, and the local importance function represents the degree of influence of the historical time on the current variation trend; represents the start and end time of the sampling time interval.

[0023] In a preferred embodiment, the similarity calculation module is configured to compare the first reference vector with the absorption sequences of the other three detection regions, assuming is the current trigger region, and the non-trigger regions are the 2nd, 3rd, and 4th regions, and the corresponding similarity scores are calculated, which are the second similarity , the third similarity , and the fourth similarity , each of which is a floating-point number between 0 and 1.

[0024] In a preferred embodiment, in the similarity calculation module, the first reference vector constructed by the trigger region is compared with the absorption sequences of the remaining three non-trigger regions, and the corresponding similarity scores are calculated ;

[0025] For any non-trigger region , its similarity score is calculated as:

[0026] ;

[0027] where similarity score represents the similarity score of the non-trigger region; represents the absorption sequence of the non-trigger region in time interval ; is a trend extraction transform function, which represents a transform of the absorption rate sequence in time interval to extract its dynamic directed trend, defined as:

[0028] ;

[0029] where represents the mean of the infrared absorption rate of the non-trigger region in interval ; is an S-shaped mapping function; represents the vector dot product operation; represents the vector length.

[0030] In a preferred embodiment, the error correction module calculates the absorption rate correction value of each non-trigger region according to the difference between each similarity score and the infrared absorption rate peak value of the trigger region and the infrared absorption rate peak value of other regions, to obtain the second correction value , the third correction value , the fourth correction value , and superimposes them into the original absorption sequence to generate an updated infrared absorption sequence, and the infrared absorption rate values of the updated infrared absorption sequence are respectively , and ;

[0031] For any non-trigger region , the definition of its infrared absorption rate correction value is:

[0032] ;

[0033] The corrected infrared absorption rate value is:

[0034] ;

[0035] where represents the The non-trigger region is at time The corrected infrared absorption value; The original infrared absorption value is from the first The non-trigger region is at time The measured infrared absorption value; The corrected infrared absorption value; The infrared absorption peak value of the trigger region in the time interval; The infrared absorption peak value of the first The infrared absorption peak value of the non-trigger region in the same time interval; The infrared absorption peak value of the first The average value of the infrared absorption value of the non-trigger region; The average value of the infrared absorption value of the first The similarity score of the non-trigger region and The similarity score of the non-trigger region and

[0036] In a preferred embodiment, the total amount of leakage is calculated in the output module for all corrected infrared absorption sequences;

[0037] The calculation formula of the total amount of leakage is as follows:

[0038] ;

[0039] Wherein The logarithmic ratio of the absorption intensity of the first The first detection region is at time The target gas infrared absorption coefficient of the first The first detection region is at time The infrared propagation path length of the first The first detection region is at time The behavior consistency adjustment function of the first The first detection region is at time The confidence factor of the first The first detection region is at time The first detection region is at time The confidence factor of the first

[0040] Technical effects and advantages of the present application:

[0041] 1. The present application constructs four independent detection zones in the bottle opening area through the elastic restraint structure, combines the non-destructive installation method with the infrared transmission principle, realizes the real-time, continuous and quantitative detection of trace gas leakage of small sealed containers such as Mason bottles and glass jars, and solves the problems of not being able to fit the container bottle opening, discontinuous detection and the need to destroy the seal in the prior art;

[0042] 2、 The scheme adopts an opposite structure of infrared emitter and infrared receiver, and introduces a narrow-band filter at the receiving end, which improves the response to the target gas characteristic absorption band, and relatively enhances the resolution capability for weak concentration leakage;

[0043] 3、 Four elastic bands form a stable four-zone detection channel, so that the infrared channel can adaptively fit the bottle body under tension changes, and the spiral wire structure ensures stable connection and signal integrity of the device during deformation;

[0044] 4、 The detection system constructs an absorption rate trend extraction mechanism centered on the trigger area, and corrects the absorption value of the non-trigger area through similarity score and difference-oriented function, which improves the response consistency and error tolerance of the system under different container structures;

[0045] 5、 The output of the total amount of leakage integrates the absorption rate, path length and confidence in the time interval of the four regions in an integral manner, which realizes dynamic cumulative estimation of gas leakage behavior. BRIEF DESCRIPTION OF DRAWINGS

[0046] Figure 1 The figure is a schematic diagram of the overall structure of the application.

[0047] Figure 2 The figure is a schematic diagram of the bottom structure of the application.

[0048] Figure 3 The figure is a partial structure sectional view of the infrared receiver and filter of the application.

[0049] Figure 4 The figure is an enlarged view of the A part structure of the application. Figure 3

[0050] Figure 5 The figure is a schematic diagram of the installation style of the bottle body and the cover body of the application.

[0051] The figure is a schematic diagram of the installation style of the bottle body and the cover body of the application. DETAILED DESCRIPTION

[0052] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the application.

[0053] Refer to the drawings attached to the specification Figures 1-5 ​The gas leakage metering detection device of one embodiment of the application comprises an elastic restraint member installed on a closed container with a cover, the elastic restraint member is composed of an elastic ring 1, a positioning sheet 2 and elastic bands 3, the number of the elastic bands 3 is at least four, the elastic bands 3 are fixedly installed on the top of the elastic ring 1, the positioning sheet 2 is fixedly installed on the top of the elastic bands 3, infrared receivers 4 and infrared emitters 5 are respectively installed on the left and right sides of the elastic bands 3, a filter sheet 6 is installed on the end of the infrared receiver 4, a detection system 7 is installed on the top of the positioning sheet 2, and the infrared receiver 4 and the infrared emitter 5 are electrically connected to the detection system 7 through a spiral wire 8.

[0054] The area between the elastic ring 1 and the positioning sheet 2 is divided into four detection areas by the four elastic bands 3, each detection area comprises at least one group of infrared detection units, and each group of infrared detection units is composed of the infrared receiver 4, the infrared emitter 5 and the filter sheet 6.

[0055] The detection system 7 acquires the infrared absorption rate sequence of the four detection areas, extracts the change characteristics of any detection area when the detection area meets the preset leakage threshold condition, and carries out metering correction on other detection areas based on the change characteristics of the detection area.

[0056] It should be noted that for the formula structure involved in the present scheme, the dimensionless term can be used as a proportional or structural adjustment factor, and when combined with a quantity with a unit, it only plays a numerical scaling role and does not introduce a new physical dimension, so it will not change or confuse the unit system of the whole expression; such a combination of "dimensionless term and quantity unit term" can be understood as a complex structure expression form commonly used in mathematical and physical modeling, which conforms to the principle of dimensional consistency and has a clear physical interpretation basis;

[0057] Secondly, in the formula structure of the present scheme, if multiple variable terms with different physical units are involved, including but not limited to time, mass or energy variables, their joint occurrence is to express the cooperative modeling relationship of multiple physical mechanisms, and each variable can be mapped by a function, combined by a ratio or adjusted by a unit, so that the unit is clear and the meaning is clear, and the whole expression conforms to the principle of dimensional consistency and the common norm of engineering modeling;

[0058] If the present scheme involves constants, weights, adjustment factors, threshold parameters, proportionality coefficients, etc., they are all adjustable control parameters for different application environments, and their values depend on the target device configuration, data input characteristics, and performance optimization goals. In the implementation stage, they are set within a reasonable range through model verification, performance constraints, or engineering calibration. Although these parameters do not have a unique value, they have a clear adjustment logic and calculation path, and are part of the deterministic setting process in engineering implementation. The purpose of such setting is to ensure that the scheme is both universally adaptable and reproducible and operable, without affecting its technical clarity and implementability.

[0059] The detection system 7 comprises a collection module, an identification module, a similarity calculation module, an error correction module, and an output module.

[0060] The collection module is configured to collect the infrared absorption rate sequence of the first to fourth detection areas in a preset time interval, respectively, to obtain the first, second, third, and fourth absorption sequences, wherein the absorption rate unit in the infrared absorption rate sequence is a dimensionless ratio; the infrared absorption rates of the first to fourth absorption sequences are represented as 、 、 and .

[0061] In the collection module, for the first to fourth detection areas, the instantaneous received light intensity values in the corresponding time interval are collected through the optical channel constructed between the infrared emitter 5 and the infrared receiver 4; a nonlinear transmission mapping model is constructed, which is used to calculate the infrared absorption rate value of each detection area at time ;

[0062] For any th detection area , the infrared absorption rate at time is calculated as:

[0063] ;

[0064] wherein the definition of the nonlinear function is:

[0065] ;

[0066] wherein the infrared absorption rate of the th detection area at time is a dimensionless value; is the Reference light intensity (unit: mW) output by the infrared emitter in the detection area. For the first The detection area at any time Intensity of transmitted light received by the infrared receiver (unit: mW). For the first The structural tilt angle perturbation function of the detection area (unit: rad) is used to reflect the degree of optical path tilt caused by the tension change of the elastic band in the detection area. Indicates the detection system at time The infrared channel response time delay (unit: ms) is caused by the slight difference in the frequency response and arrangement of the infrared filter. Indicates the first The infrared channel of the detection area is constantly Spatial dispersion (unit: Spatial discreteness represents the distance offset between the infrared channel and the bottle opening; nonlinear function It is used to compensate and fit factors such as misalignment, inconsistency of dynamic response of filtering, and distance disturbance in the original absorptivity calculation process, so as to ensure that the absorptivity output has high consistency and high spatial versatility.

[0067] It should be noted that this nonlinear function The construction logic embodies a combined enhancement and dynamic suppression mechanism for three types of structural perturbation factors:

[0068] It is used to enhance the sensitivity to the tilt angle of the optical path, as it is most sensitive when the angle is close to 90°, reflecting the nonlinear amplification effect of tilt on path stability;

[0069] The dynamic adjustment characteristic of the filter response time is used to introduce a feature that changes slowly when the time delay is less than the response threshold, but changes sharply when it approaches the limit response range, simulating the rapid decay of the infrared signal response lag in the system.

[0070] As a suppression term, an inverse square function of spatial dispersion is introduced, so that the greater the deviation of the infrared path, the lower the overall absorption rate correction value, reflecting the actual impact of physical diffusion and alignment failure.

[0071] By integrating directional amplification, dynamic response, and spatial error inverse suppression of three perturbation effects, a nonlinear compensation model with relatively high structural responsiveness is formed.

[0072] The identification module is used when the current infrared absorptivity value in any absorption sequence is greater than a preset leakage threshold. At the time, set the detection area where it is located as a trigger area, extract the main change curve of the trigger area absorption sequence in the time interval, denoted as the first reference vector .

[0073] Construct a main change curve function in the identification module, which is used to generate the first reference vector of the trigger area :

[0074] ;

[0075] where the weight function is defined as:

[0076] ;

[0077] where the first reference vector represents the discrete representation of the main change curve of the trigger area in the interval , which is used as a reference standard for feature commonality comparison, and the unit is the same as the original absorption rate (dimensionless); represents the infrared absorption rate value of the trigger area at time ; represents the average value of the infrared absorption rate of the trigger area in the interval , which is used as a baseline reference; is an S-shaped mapping function, and the definition of the S-shaped mapping function is , which is used to compress the absorption rate change to a standard mapping space and suppress extreme disturbances, wherein the input variable is referred to in the formula; represents the first-order derivative of the curve after nonlinear mapping of the absorption rate, which represents the change trend; the weight function represents a weighting function, which is used to assign different contribution weights to different time periods in the infrared absorption rate history curve; is a local importance function, which represents the influence degree of the historical time on the current change trend, and the local importance function includes but is not limited to a triangular window or an exponential decay window function; represents the start and end time of the sampling time interval; represents the integral of a certain function from the start time to the current time , which is used to reflect the cumulative effect or cumulative change of the function in this time period; represents the overall transformation function of feature extraction of the absorption rate sequence in the interval , which is used to generate the main change curve.

[0078] The similarity calculation module is used to calculate the similarity between the first reference vector The absorption sequence of the other three detection regions is compared with the absorption sequence of the current trigger region, and the similarity scores of the non-trigger regions are calculated . Each similarity score is a floating-point number between 0 and 1.

[0079] In the similarity calculation module, the first reference vector constructed from the trigger region is compared with the absorption sequences of the other three non-trigger regions, and the similarity scores of the non-trigger regions are calculated .

[0080] For any non-trigger region , the similarity score is calculated as follows:

[0081] .

[0082] wherein the similarity score of the i-th non-trigger region (ranging from 0 to 1, the closer to 1, the more similar) is represented by , and the absorption sequence of the i-th non-trigger region in the time interval is represented by , which can be the original sequence or a modified value after filtering or compensation in actual application; is a trend extraction transformation function, which represents a transformation of the absorption rate sequence in the time interval to extract its dynamic guiding trend, and is defined as: .

[0083] .

[0084] wherein represents the mean value of the infrared absorption rate of the i-th non-trigger region in the interval ; is an S-shaped mapping function; represents a vector dot product operation, which is used to measure the directional consistency of two trend vectors; represents the vector length, which is used for normalization to make the score range fall within .

[0085] The error correction module calculates the absorption rate correction value of each non-trigger region according to the difference between each similarity score and the infrared absorption rate peak value of the trigger region and the infrared absorption rate peak value of the other regions, and obtains the second correction value , the third correction value , and the fourth correction value ​​​And superimposed to the original absorption sequence, generating the updated infrared absorption sequence, the infrared absorption rate value of the updated infrared absorption sequence is , , ;

[0086] For any non-trigger area , the infrared absorption rate correction value is defined as:

[0087] ;

[0088] The corrected infrared absorption rate value is:

[0089] ;

[0090] Wherein represents the infrared absorption rate correction value (unit: dimensionless) of the non-trigger area at time ; is the original infrared absorption rate value, which is the measured infrared absorption rate of the non-trigger area at time ; represents the corrected infrared absorption rate value; represents the infrared absorption rate peak value of the trigger area in the time interval; represents the infrared absorption rate peak value of the non-trigger area in the same time interval; represents the average value of the infrared absorption rate of the non-trigger area; represents the absorption change trend derivative, which is used to measure the instantaneous rising strength; represents the similarity score of the non-trigger area and , ranging from [0, 1], is the result value generated by taking as the definition rule; represents the similarity inverse term, which represents the degree of dissimilarity, and is used to enhance the correction strength when the difference is greater.

[0091] In the output module, the total amount of leakage is calculated for all corrected infrared absorption sequences;

[0092] The total amount of leakage is calculated as:

[0093] ;

[0094] Wherein the total amount of leakage (unit: ) represents the four detection areas in the time interval The estimated cumulative value of the gas leakage; The detection area is numbered, corresponding to the first to the fourth detection area; The first The reference light intensity (unit: mW) output by the infrared emitter of the detection area; The first The transmission intensity (unit: mW) received by the infrared receiver at time The transmission intensity (unit: mW) received by the infrared receiver at time The first The absorption intensity logarithmic ratio value (dimensionless) of the detection area at time According to the Beer-Lambert law, it is equivalent to the concentration length product response of the target gas under the path; The first The target gas infrared absorption coefficient (unit: ) of the detection area, determined by the target wavelength and the gas type, including obtained by experimental calibration; The first The infrared propagation path length (unit: cm) of the detection area at time The infrared propagation path length (unit: cm) of the detection area at time The behavior consistency adjustment function (dimensionless) of the first The behavior consistency adjustment function (dimensionless) of the first The behavior consistency adjustment function is determined by whether the current absorption rate sequence conforms to the trigger area leakage trend, and in actual application, it includes the derivation of And the correction bias; The first The confidence factor (dimensionless) of the detection area, determined by the system to determine whether the current sampling is reliable (including but not limited to signal-to-noise ratio, filter response saturation, etc.).

[0095] It should be noted that secondly, the forming process of the scheme starts from the analysis of the application limitations of existing infrared gas leakage detection means in small closed container scenes; in most traditional technologies, infrared detection often relies on fixed position emission and reception structure, which cannot adapt to the geometric deformation of the bottle mouth or cover, and it is also difficult to accurately capture the short-time absorption fluctuation caused by local trace leakage path; in order to break through this structural adaptability limitation, the scheme first constructs a elastic restraint composed of elastic ring, elastic band and positioning sheet, so as to closely fit the bottle mouth part of various closed containers with cover; by setting four elastic bands, the isotropic partition of the bottle mouth area is realized, and each partition is taken as an independent infrared detection area; the infrared emitter and the infrared receiver are respectively installed on both sides of each elastic band, and a filter sheet is provided at the receiver end for limiting the receiving waveband to enhance the detection selectivity; this four-zone symmetrical layout not only has good stability, but also provides hardware support for subsequent behavior trend identification, mutual correction between regions and other processing strategies;

[0096] In terms of function implementation, the core task of the detection system is to collect continuous infrared absorption rate data sequences around the four detection areas and use them for analysis and judgment of dynamic leakage behavior; the absorption rate is obtained based on the light channel constructed between the infrared emitter and receiver, and the system constructs a nonlinear transmission mapping model by comparing the reference light intensity under the no-leakage state with the current received light intensity in real time, explicitly considering the non-ideal effects of light intensity caused by factors such as tilt angle disturbance due to elastic structure deformation, filter dynamic response difference, and receiving position offset; the original absorption rate is compensated by fusing the functions formed by the three structural error factors, so that the consistency and stability of the absorption rate output can be ensured even if the detection areas are in a slightly asymmetric or non-standard fitting state;

[0097] Once the absorption rate of any detection area at a specific time exceeds the system's set leakage judgment threshold, the area will be marked as a trigger area; the system extracts the absorption rate trend within the set time window and constructs a main change curve as the characteristic expression of this leakage behavior; the main change curve is composed of a standardized compression function, dynamic differentiation, and a time weighting mechanism, which can suppress incidental disturbances and enhance the coherence of trend judgment; after obtaining the behavior characteristics of the trigger area, the system performs trend mapping operations on the absorption rate sequences of the other three non-trigger areas, calculates the similarity score based on the direction consistency and change rate matching degree between the main change curve, and uses it as the basis for regional commonality discrimination;

[0098] In order to further improve the adaptability of detection under complex structures, the scheme introduces an error correction mechanism based on similarity score and absorption rate peak difference; after each non-trigger area is projected into the main curve space, the system dynamically generates a correction value, which is determined by the absorption response difference between the trigger area and the target area, the instantaneous change rate, and the trend inconsistency degree; the correction value is then added to the original absorption rate sequence to generate a new set of corrected absorption sequences, ensuring that all regions of the system remain consistent in trend expression, while also avoiding local misjudgment caused by container fitting errors, channel deformation, or fluctuating responses;

[0099] After the correction is completed, the system unifies the absorption rate data of the four detection areas to estimate the leakage amount; based on the principle of infrared absorption, the absorption rate response of each detection area at each time is mapped to a unit concentration value, and weighted integration is performed combined with real-time path length and regional confidence factor to output the complete cumulative leakage amount; in this process, the system not only considers the physical basis of the compared light intensity, but also fuses factors such as dynamic path, structural disturbance, and behavior consistency, achieving full-process control from raw data collection to final leakage output;

[0100] In addition, in the scheme, the elastic binding member has strong universal adaptability, can be applied to various specifications and forms of sealed containers, and does not need the user to artificially transform the container structure. The elastic binding member includes silica gel and thermoplastic polyurethane elastomer (TPU), both of which have good elastic recovery, chemical corrosion resistance and adaptability to bottle mouths. By dividing the detection area into four symmetrical channels and embedding a self-correction mechanism, the local micro-leakage capture capability is improved, and system misjudgment caused by single-area sudden errors is avoided.

[0101] In order to further understand the application of the scheme, as shown in Figure 5 The bottle body 9 is designed as a capped sealed container structure applied in the scheme, the elastic ring 1 and the elastic band 3 are bound on the top of the bottle body 9 by the elastic force. In order to improve the simultaneous detection of the capped sealed containers in batch transportation, the scheme further constructs a simple cap 10 structure which can be transparent to facilitate the normal operation of the observation system or equipment and can prevent excessive diffusion of leaked gas which is not conducive to detection.

[0102] In addition, the power supply of the system can be realized by installing a button cell or a rechargeable lithium battery module in the detection system 7 integrated on the top of the positioning sheet 2, to support low-power continuous collection and data processing. The communication can adopt a low-power Bluetooth (BLE) or near-field communication (NFC) module embedded in the detection system to realize data interaction and remote uploading with mobile devices or master control platforms.

[0103] The spiral wire used in the scheme is an elastic cable that can be extended synchronously with the elastic structure, used to stably connect the infrared element and the detection system during deformation to prevent breakage or loosening.

[0104] The filter sheet used in the scheme is an optical element installed in front of the infrared receiver, used to selectively transmit infrared light of a specific wavelength, thereby enhancing the detection accuracy and target of the target gas absorption characteristics.

[0105] The above only describes the preferred embodiments of the present application and is not used to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A gas leak metering detection device comprising a elastic restraint installed on a closed container with a cover, the elastic restraint is composed of an elastic ring (1), a positioning sheet (2) and an elastic band (3), characterized in that: The number of the elastic bands (3) is at least four, the elastic bands (3) are fixedly installed on the top of the elastic ring (1), the positioning sheet (2) is fixedly installed on the top of the elastic band (3), the left and right sides of the elastic band (3) are respectively provided with an infrared receiver (4) and an infrared emitter (5), the end of the infrared receiver (4) is provided with a filter sheet (6), the top of the positioning sheet (2) is provided with a detection system (7), and the infrared receiver (4) and the infrared emitter (5) are electrically connected to the detection system (7) through a spiral wire (8); The area between the elastic ring (1) and the positioning sheet (2) is divided into four detection areas by the four elastic bands (3), each detection area includes at least one group of infrared detection units, and each group of infrared detection units is composed of the infrared receiver (4), the infrared emitter (5) and the filter sheet (6); The detection system (7) acquires the infrared absorption rate sequence of the four detection areas, extracts the change characteristics of the detection area when any detection area meets the preset leakage threshold condition, and corrects the other detection areas based on the change characteristics of the detection area; The detection system (7) includes an acquisition module, an identification module, a similarity calculation module, an error correction module and an output module; The collecting module is configured to collect infrared absorption rate sequences of the first detection area to the fourth detection area in a preset time interval, and obtain a first absorption sequence, a second absorption sequence, a third absorption sequence and a fourth absorption sequence respectively; the infrared absorption rates of the first absorption sequence to the fourth absorption sequence are represented as , , and respectively. In the acquisition module, for the first detection area to the fourth detection area, the instantaneous received light intensity value in the corresponding time interval is respectively acquired through the light channel constructed between the infrared emitter (5) and the infrared receiver (4); a non-linear transmission mapping model is constructed, and the transmission mapping model is used to calculate the infrared absorption rate value of each detection area at time ​ For any i-th detection region at time , the infrared absorption rate at time is calculated as ； wherein the definition of the non-linear function is: ； wherein the infrared absorption rate represents the first detection region at time ; and represents the reference light intensity outputted by the infrared emitter of the first detection region at time ; and represents the transmitted light intensity received by the infrared receiver of the first detection region ; and represents the infrared channel response time delay of the detection system at time ; and represents the spatial dispersion of the infrared channel of the first detection region at time 2. The gas leakage metering detection device according to claim 1, wherein: The identification module is configured to set the detection area where the current infrared absorption rate value is greater than the preset leakage threshold value as a trigger area , extract a main change curve of the trigger area absorption sequence in the time interval as a first reference vector .

3. The gas leakage metering detection device according to claim 2, wherein: The main variation curve function is constructed in the recognition module, and the main variation curve function is used to generate a first reference vector of the trigger region : ； where the weight function is defined as: ； wherein the first reference vector represents a main variation curve discrete representation of the triggering area in the interval ; represents the infrared absorption rate value of the triggering area at the time ; represents the infrared absorption rate average value of the triggering area in the interval ; is an S-shaped mapping function; represents the first-order differentiation of the curve after the non-linear mapping of the absorption rate; weight function represents the weight function; is a local importance function, the local importance function representing the influence degree of the historical time on the current variation trend; represents the start and end time of the sampling time interval.

4. The gas leakage metering detection device according to claim 3, wherein: The similarity calculation module is configured to calculate the similarity between the first reference vector and the absorption sequence of the first detection region With the absorption sequences of the other three detection regions, assuming is the current trigger region, so the non-trigger regions are the second, third, and fourth regions, and the corresponding similarity scores are calculated as the second similarity , the third similarity , and the fourth similarity , each of which is a floating-point number between 0 and 1.

5. The gas leakage metering detection device according to claim 4, wherein: In the similarity calculation module, the first reference vector of the trigger region construction is compared with the absorption sequence of the remaining three non-trigger regions to calculate the corresponding similarity score ;​ For any non-trigger region whose similarity score is calculated as: ； wherein the similarity score represents the similarity score of the non-trigger region; represents the absorption sequence of the non-trigger region over the time interval ; and a trend extraction transform function, the trend extraction transform function representing a first transform of the absorption rate sequence over the time interval ; and defining a dynamic directed trend as: ； wherein represents the the mean of the non-trigger region infrared absorbance over the interval; is a sigmoid mapping function; represents a vector dot product operation; represents a vector magnitude.

6. The gas leakage metering detection device according to claim 5, wherein: The error correction module calculates the absorption correction value of each non-trigger region according to the difference between each similarity score and the infrared absorption peak value of the trigger region and the infrared absorption peak value of other regions, to obtain a second correction value , a third correction value , a fourth correction value , and superimposed into the original absorption sequence to generate an updated infrared absorption sequence, and the infrared absorption values of the updated infrared absorption sequence are respectively , and ; For any non-trigger region The infrared absorption rate correction value is defined as: ； The corrected infrared absorption rate value is: ； in Indicates the first Non-triggered region at time The infrared absorptivity correction value; The original infrared absorptivity value comes from the first... Non-triggered region at time The measured infrared absorption rate; This represents the corrected infrared absorptivity value; This indicates the peak infrared absorptivity of the trigger region within the time interval; Indicates the first Peak infrared absorption rate of the non-triggered region within the same time interval; Indicates the first The average value of infrared absorption rate in the non-triggered region; Indicates the first Non-triggering area and Similar scores.

7. The gas leakage metering detection device according to claim 6, wherein: In the output module, the corrected all infrared absorption sequences are calculated to obtain the total leakage amount. total amount of leakage The calculation formula is: ； wherein represents the first absorption intensity ratio of the detection region at the time ; represents the first infrared absorption coefficient of the target gas of the detection region; represents the first infrared propagation path length of the detection region at the time ; represents the first behavior consistency adjustment function of the region; represents the first confidence factor of the detection region.

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