Earl method and system for early warning of ceramic jar micro-leakage based on ethanol permeation-strain characteristics

Abstract

The application discloses a kind of ethanol permeation-strain characteristics based on jar micro-leakage early warning method and system, its method includes the following steps: S1, the optical fiber sensing unit is arranged on the outer wall of the jar to be monitored, including first sensing channel and second sensing channel;S2, based on the optical fiber sensing unit arranged, the strain gradient characteristic sequence of the outer wall of the jar is generated;S3, based on the strain gradient characteristic sequence, calculate ethanol permeation-strain coupling coefficient;S4, according to ethanol permeation-strain coupling coefficient, determine whether the early micro-leakage risk of jar exists, and generate early warning signal.The application can dynamically calibrate the preset coupling threshold according to the confirmed leakage event, non-leakage event or environmental disturbance event, improve the adaptability under different jars and different environments.

Description

Technical Field

[0001] This invention belongs to the field of intelligent monitoring technology, specifically relating to a method and system for early warning of micro-leakage in ceramic jars based on ethanol permeation-strain characteristics. Background Technology

[0002] Baijiu (Chinese liquor) is a traditional and advantageous industry in China. Earthenware jars, used as a core technique for aging high-quality baijiu, have been widely adopted in large-scale wine cellars. However, earthenware jars are porous non-metallic materials, making them susceptible to temperature and humidity fluctuations, mechanical stress, and material aging during long-term storage. This can lead to micro-cracks or seepage channels, causing subtle leaks of the liquor. This problem is particularly prominent in large-scale group storage environments.

[0003] According to industry statistics, micro-leakage directly causes liquor loss, resulting in significant economic losses. In recent years, the liquor industry has faced pressure, with production from large-scale enterprises continuing to decline and total social inventory remaining high. Liquor companies are more sensitive to cost control and loss rates; under the backdrop of low-profit operations, the impact of even minor losses on business operations is further amplified. More seriously, the catastrophic hazards caused by micro-leakage are concentrated in the risk of explosion. Ethanol is a Class A flammable liquid with a flash point of only about 12-13°C. Its vapor can form an explosive mixture with air, significantly lowering the lower explosive limit. Even in environments below the lower explosive limit, ethanol vapor can still be instantly ignited by extremely small amounts of ignition energy. It is worth noting that alcohol has an extremely low flash point and produces a light blue flame, making it difficult to detect even after prolonged burning, easily turning a small fire into an uncontrollable major accident. There have been tragic cases in the industry's history where, in extreme accident scenarios, a large-scale ethanol leak triggering a chain reaction of explosions and fires could level an entire factory, resulting in exceptionally huge property losses. The accumulation of ethanol vapor in the wine cellar can also pose occupational health risks to workers who work there for extended periods. Long-term exposure to high concentrations of ethanol may cause symptoms such as headaches, dizziness, fatigue, and difficulty concentrating, affecting operational safety.

[0004] Faced with the aforementioned multi-layered hazards, existing monitoring methods are severely inadequate. Pressure sensing, gas sensing, resistance strain sensing, and ultrasonic detection methods are mostly active monitoring methods, relying on power supply modules, transmission lines, excitation circuits, and acquisition circuits. In an ethanol vapor environment, live sensing nodes may introduce electrical ignition risks such as electric sparks and localized temperature rises. In fact, many liquor company warehouses still commonly use non-explosion-proof pumps, incandescent light bulbs, non-explosion-proof switches, and non-explosion-proof junction boxes. Even more alarming is that the leakage monitoring equipment in some warehouses itself has become a potential ignition source: problems such as improper installation of ethanol detectors and wiring conduits that do not meet explosion-proof requirements have long existed, directly breaching the two core lines of defense: leakage monitoring and early warning, and inherent safety in explosive environments. At the same time, existing methods also suffer from insufficient anti-interference capabilities, delayed early warning, low positioning accuracy, and a high false alarm rate.

[0005] Therefore, there is an urgent need for a passive on-site monitoring technology suitable for the environment of storing wine in ceramic jars, so as to achieve high sensitivity, low false alarm and early warning of micro-leakage in ceramic jars without introducing additional electrical ignition risks, and fundamentally prevent the occurrence of catastrophic safety accidents. Summary of the Invention

[0006] To address the problems of delayed early warning, high false alarm rate, and inapplicability to large-scale non-metallic container groups in existing technologies, this invention proposes a micro-leakage early warning method and system for ceramic jars based on ethanol permeation-strain characteristics.

[0007] The technical solution of this invention is: a method for early warning of micro-leakage in ceramic jars based on ethanol permeation-strain characteristics, characterized by comprising the following steps:

[0008] S1. Fiber optic sensing units are installed on the outer wall of the ceramic jar to be monitored, including a first sensing channel and a second sensing channel.

[0009] S2. Based on the deployed fiber optic sensing units, a strain gradient characteristic sequence of the outer wall of the ceramic jar is generated.

[0010] S3. Calculate the ethanol permeation-strain coupling coefficient based on the strain gradient characteristic sequence;

[0011] S4. Based on the ethanol permeation-strain coupling coefficient, determine whether there is an early micro-leakage risk in the ceramic jar and generate an early warning signal.

[0012] Furthermore, the first sensing channel is used to acquire the ethanol response characteristic quantity; the second sensing channel is used to acquire the strain characteristic quantity of the outer wall of the ceramic jar.

[0013] Furthermore, the ethanol response characteristics include at least one of the following: spectral intensity change, wavelength shift, reflection spectrum change, or scattering spectrum change caused by the action of ethanol vapor on the sensitive membrane.

[0014] Furthermore, the first sensing channel is a fiber core coated with a polydimethylsiloxane-graphene composite sensitive film, and the second sensing channel is a strain-sensitive fiber core or a temperature-compensated fiber core.

[0015] Further, in S2, the ethanol response sequence output by the first sensing channel is obtained, the strain response sequence output by the second sensing channel is obtained, and the strain gradient feature sequence of the outer wall of the ceramic jar is generated based on the ethanol response sequence and the strain response sequence.

[0016] Furthermore, the strain gradient feature sequence is generated based on at least one of the strain difference, strain spatial derivative, strain rate of change, or local strain anomaly amplitude at the spatial detection location on the outer wall of the ceramic jar.

[0017] Furthermore, the ethanol permeation-strain coupling coefficient for:

[0018] ;

[0019] in, This is the ethanol response sequence. For strain gradient characteristic sequence, For sliding time windows, For covariance, The standard deviation of the ethanol response sequence over the sliding time window is given. The standard deviation of the strain gradient characteristic sequence within the sliding time window is given. As a stable term, Sampling time, For a moment.

[0020] Furthermore, in S4, when the ethanol permeation-strain coupling coefficient is greater than the preset coupling threshold and the ethanol response sequence meets the upward trend criterion within the preset continuous time window, it is determined that there is an early micro-leakage risk in the ceramic jar, and an early warning signal is generated.

[0021] Based on the above methods, this invention also proposes a micro-leakage early warning system for ceramic jars based on ethanol permeation-strain characteristics, comprising:

[0022] Fiber optic sensing units are installed on the outer wall of each ceramic jar.

[0023] The data acquisition unit is used to acquire the ethanol response sequence output by the first sensing channel and the strain response sequence output by the second sensing channel.

[0024] The coupling characteristic calculation module is used to calculate the ethanol permeation-strain coupling coefficient;

[0025] The early warning criterion engine is used to generate an early warning signal when the ethanol permeation-strain coupling coefficient is greater than a preset coupling threshold and the ethanol response sequence meets a preset trend criterion.

[0026] The strain gradient feature generation module is used to generate a strain gradient feature sequence of the outer wall of the ceramic jar based on the strain response sequence.

[0027] The threshold calibration module is used to dynamically calibrate the preset coupling threshold based on confirmed leakage events, non-leakage events, or environmental disturbance events.

[0028] The beneficial effects of this invention are:

[0029] (1) This invention identifies the risk of microleakage in ceramic jars by coupling analysis of ethanol response sequence and strain gradient feature sequence, which has stronger anti-interference ability compared with single ethanol detection or single strain detection.

[0030] (2) The present invention can reduce the risk of false alarms caused by environmental disturbances by jointly judging by a preset coupling threshold and an ethanol response trend criterion;

[0031] (3) The present invention can dynamically calibrate the preset coupling threshold based on confirmed leakage events, non-leakage events or environmental disturbance events, thereby improving the adaptability of different ceramic jars and different environments;

[0032] (4) The present invention uses a passive optical fiber sensing unit for on-site monitoring. The on-site sensing end does not need to be equipped with a power supply module, excitation circuit and live acquisition node, which can reduce the risk of electrical ignition caused by electric sparks, local temperature rise, short circuit or joint failure in the ethanol vapor environment. It is suitable for long-term safety monitoring of ceramic jar storage environment. Attached Figure Description

[0033] Figure 1 The flowchart shows a method for early warning of micro-leakage in ceramic jars based on ethanol permeation-strain characteristics.

[0034] Figure 2 This is a schematic diagram of a micro-leakage early warning system for ceramic jars based on ethanol permeation-strain characteristics. Detailed Implementation

[0035] The embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0036] like Figure 1 As shown, this invention provides a method for early warning of micro-leakage in ceramic jars based on ethanol permeation-strain characteristics, characterized by the following steps:

[0037] S1. Fiber optic sensing units are installed on the outer wall of the ceramic jar to be monitored, including a first sensing channel and a second sensing channel.

[0038] S2. Based on the deployed fiber optic sensing units, a strain gradient characteristic sequence of the outer wall of the ceramic jar is generated.

[0039] S3. Calculate the ethanol permeation-strain coupling coefficient based on the strain gradient characteristic sequence;

[0040] S4. Based on the ethanol permeation-strain coupling coefficient, determine whether there is an early micro-leakage risk in the ceramic jar and generate an early warning signal.

[0041] In this embodiment of the invention, the first sensing channel is used to acquire the ethanol response characteristic quantity; the second sensing channel is used to acquire the strain characteristic quantity of the outer wall of the ceramic jar.

[0042] In this embodiment of the invention, the ethanol response characteristic quantity includes at least one of the following: spectral intensity change, wavelength drift, reflection spectrum change, or scattering spectrum change caused by ethanol vapor acting on the sensitive membrane.

[0043] In this embodiment of the invention, the first sensing channel is a fiber core coated with a polydimethylsiloxane-graphene composite sensitive film, and the second sensing channel is a strain-sensitive fiber core or a temperature-compensated fiber core.

[0044] The second sensing channel is arranged along the outer wall of the pottery jar in a circumferential, axial, or spiral direction.

[0045] Earthenware jars are porous non-metallic materials, and during long-term wine storage, microcracks or seepage channels may develop due to changes in temperature and humidity, mechanical stress, material aging, or impact during handling. When microleakage occurs in the earthenware jar, ethanol-containing liquid or ethanol vapor will diffuse outward through the microcracks, pores, or seepage channels, and the local structural state of the outer wall of the earthenware jar will change simultaneously. Therefore, in this embodiment, the ethanol response characteristic quantity is obtained through the first sensing channel, and the strain characteristic quantity of the outer wall of the earthenware jar is obtained through the second sensing channel, so as to simultaneously characterize the ethanol seepage state and the local structural state of the earthenware jar.

[0046] In a specific implementation, the first sensing channel can be a fiber core coated with a polydimethylsiloxane-graphene composite sensitive film. When ethanol vapor is present near the outer wall of the ceramic jar, the ethanol vapor acts on the composite sensitive film, causing a change in the spectral response of the first sensing channel. This change in spectral response can manifest as at least one of a change in spectral intensity, wavelength shift, change in reflection spectrum, or change in scattering spectrum. In other embodiments, the first sensing channel can also employ other sensitive film layers or fiber optic structures capable of generating an optical response to ethanol vapor; this is not limited here.

[0047] In practice, the second sensing channel can be a strain-sensitive fiber core or a temperature-compensating fiber core. The second sensing channel can be arranged circumferentially, axially, or helically along the outer wall of the ceramic jar to collect strain responses at different spatial detection locations on the outer wall of the jar. When the second sensing channel is used as a temperature-compensating fiber core, it is used to compensate for fiber optic response drift caused by temperature changes, thereby reducing the impact of temperature fluctuations on the strain response data.

[0048] In this embodiment of the invention, in S2, the ethanol response sequence output by the first sensing channel is obtained, the strain response sequence output by the second sensing channel is obtained, and the strain gradient feature sequence of the outer wall of the ceramic jar is generated based on the ethanol response sequence and the strain response sequence.

[0049] In this embodiment of the invention, the strain gradient feature sequence is generated based on at least one of the strain difference, strain spatial derivative, strain rate of change, or local strain anomaly amplitude at the detection location on the outer wall of the ceramic jar.

[0050] In practice, the system acquires the spectral response data output from the first sensing channel through the data acquisition unit, and generates an ethanol response sequence based on the spectral response data. Ethanol response sequence It can be obtained from at least one of the following: changes in spectral intensity, wavelength shift, changes in reflection spectrum, or changes in scattering spectrum caused by the action of ethanol vapor on the sensitive membrane.

[0051] For example, in one specific implementation, the spectral intensity within a preset spectral band can be integrated, and the integration result can be subjected to baseline subtraction and normalization to obtain the ethanol response sequence. In other embodiments, the ethanol response sequence can also be constructed based on the characteristic peak shift, the change in the reflectance spectrum, or the change in the scattering spectrum; this is not a limitation.

[0052] In practice, the system acquires strain response sequences at different spatial detection locations on the outer wall of the ceramic jar through the second sensing channel. ,in, This indicates the spatial detection location on the outer wall of the pottery jar. This indicates the sampling time. To reduce the impact of ambient temperature changes, external vibrations, and measurement noise on subsequent calculations, the system can process the strain response sequence. Perform temperature compensation, baseline correction, outlier removal, or filtering.

[0053] The system generates a strain gradient feature sequence based on the processed strain response sequence. Strain gradient characteristic sequence It can be generated based on at least one of the following: strain difference between different spatial detection positions on the outer wall of the ceramic jar, strain spatial derivative, strain rate of change, or local strain anomaly amplitude.

[0054] In one specific implementation, the system selects the detection position of the adjacent space on the outer wall of the pottery jar. and The strain response at the point is determined, and the strain gradient characteristic quantity is calculated according to the following formula:

[0055] ;

[0056] It should be noted that the strain gradient feature sequence is used to characterize changes in the local structural state of the outer wall of the ceramic jar. Compared with directly using single-point strain values, the strain gradient feature can reflect the relative strain differences between different spatial detection locations, which is more conducive to identifying local changes caused by microcrack propagation or local structural anomalies.

[0057] In this embodiment of the invention, the ethanol permeation-strain coupling coefficient for:

[0058] ;

[0059] in, This is the ethanol response sequence. For strain gradient characteristic sequence, For sliding time windows, For covariance, The standard deviation of the ethanol response sequence over the sliding time window is given. The standard deviation of the strain gradient characteristic sequence within the sliding time window. As a stable term, Sampling time, For a moment.

[0060] In practice, the system sets a preset sliding time window. And at the moment Extraction time range Ethanol response sequence within and strain gradient characteristic sequence Preset sliding time window It can be determined based on the specifications of the pottery jar, the monitoring cycle, the rate of environmental change, or historical verification events.

[0061] The system calculates the ethanol response sequence. With strain gradient characteristic sequence The covariance within a preset sliding time window is calculated, and the standard deviations of the ethanol response sequence and strain gradient characteristic sequence within this window are calculated respectively.

[0062] Stable terms This is used to avoid abnormal coupling coefficient calculations due to excessively small standard deviations. Ethanol permeation-strain coupling coefficient. It is used to characterize the degree of synchronous change between the ethanol response sequence and the strain gradient characteristic sequence within the same sliding time window.

[0063] When a ceramic jar is only affected by short-term ventilation, temperature and humidity fluctuations, or external vibrations, the ethanol response sequence or strain gradient characteristic sequence may fluctuate independently, but they usually do not exhibit stable synchronous changes within the same sliding time window. Conversely, when early microleakage occurs in the ceramic jar, the ethanol response sequence will be enhanced due to ethanol escape, and the local strain gradient on the outer wall of the jar will also change accordingly due to microcrack propagation or changes in the local structural state. Therefore, by calculating the ethanol permeation-strain coupling coefficient, the risk of false alarms caused by single ethanol detection or single strain detection can be reduced.

[0064] In this embodiment of the invention, in S4, when the ethanol permeation-strain coupling coefficient is greater than the preset coupling threshold and the ethanol response sequence meets the upward trend criterion within the preset continuous time window, it is determined that there is an early micro-leakage risk in the ceramic jar, and an early warning signal is generated.

[0065] In practical implementation, the system will use the ethanol permeation-strain coupling coefficient With preset coupling threshold Compare and determine the ethanol response sequence. Whether the preset upward trend criterion is met. The preset upward trend criterion can be determined based on the rate of change of the ethanol response sequence, the cumulative increment, the number of consecutive increases, or the deviation from the baseline value.

[0066] when And the ethanol response sequence When a preset upward trend criterion is met, the system determines that the corresponding ceramic jar has an early microleakage risk and generates an early warning signal for microleakage. The early warning signal for microleakage may include one or more of the following: ceramic jar number, warning time, ethanol permeation-strain coupling coefficient, ethanol response change trend, strain gradient change characteristics, risk level, and treatment recommendations.

[0067] It should be noted that the preset coupling threshold in this embodiment... The preset coupling threshold can be set based on engineering experience, calibration samples, or historical verification events. In one specific implementation, the preset coupling threshold can be set to a fixed threshold; in another specific implementation, the preset coupling threshold can also be dynamically updated based on the batch of ceramic jars, the storage environment, historical operating data, or verification events, which is not limited here.

[0068] The preset coupling threshold is dynamically calibrated based on confirmed leakage events, non-leakage events, or environmental disturbance events.

[0069] In practice, the system acquires confirmed leakage events, non-leakage events, or environmental disturbance events. Confirmed leakage events can be obtained through manual inspections, maintenance records, weighing verification, or on-site review; non-leakage events and environmental disturbance events can be used to correct false alarm samples.

[0070] When a warning event is confirmed as a microleakage event, the system uses the corresponding ethanol response sequence, strain gradient feature sequence, ethanol permeation-strain coupling coefficient, and ethanol response trend feature as the leakage sample. When a warning event is confirmed as a non-leakage event or an environmental disturbance event, the system uses the corresponding data as the non-leakage sample or environmental disturbance sample.

[0071] The threshold calibration module updates the preset coupling threshold based on the data distribution of leaking samples, non-leaking samples, and environmental disturbance samples. The updated preset coupling threshold is then used for subsequent early warning judgments. Thus, the system can adapt to changes in data distribution under different ceramic jar materials, storage environments, and operational stages, improving the reliability of early warnings.

[0072] Based on the above methods, such as Figure 2 As shown, this invention also proposes a micro-leakage early warning system for ceramic jars based on ethanol permeation-strain characteristics, comprising:

[0073] Fiber optic sensing units are installed on the outer wall of each ceramic jar.

[0074] The data acquisition unit is used to acquire the ethanol response sequence output by the first sensing channel and the strain response sequence output by the second sensing channel.

[0075] The coupling characteristic calculation module is used to calculate the ethanol permeation-strain coupling coefficient;

[0076] The early warning criterion engine is used to generate an early warning signal when the ethanol permeation-strain coupling coefficient is greater than a preset coupling threshold and the ethanol response sequence meets a preset trend criterion.

[0077] The strain gradient feature generation module is used to generate a strain gradient feature sequence of the outer wall of the ceramic jar based on the strain response sequence.

[0078] The threshold calibration module is used to dynamically calibrate the preset coupling threshold based on confirmed leakage events, non-leakage events, or environmental disturbance events.

[0079] Specifically, the fiber optic sensing unit is a passive sensing unit, requiring no power supply to the field sensing nodes. The data acquisition unit, coupling coefficient calculation module, early warning criterion module, and threshold calibration module can be centrally located in a safe area. This reduces the risk of electrical ignition introduced by field-electrified sensing nodes in an ethanol vapor environment.

[0080] In one specific implementation, when no microleakage occurs in the ceramic jar, the ethanol response sequence and strain gradient characteristic sequence only exhibit random fluctuations under environmental disturbances, and the ethanol permeation-strain coupling coefficient is below a preset coupling threshold. When early microleakage occurs in the ceramic jar, the ethanol response sequence shows a continuous increase, and the strain gradient characteristic sequence shows a corresponding change, causing the ethanol permeation-strain coupling coefficient to increase. When the ethanol permeation-strain coupling coefficient exceeds the preset coupling threshold, and the ethanol response sequence meets the preset upward trend criterion, the system outputs an early warning signal for microleakage of the corresponding ceramic jar.

[0081] Therefore, this application acquires the ethanol response sequence through the first sensing channel, acquires the strain response sequence through the second sensing channel, and generates a strain gradient feature sequence. Furthermore, it calculates the ethanol permeation-strain coupling coefficient based on the degree of synchronous change between the ethanol response sequence and the strain gradient feature sequence within the same sliding time window, and uses a preset coupling threshold and ethanol response trend criterion for early warning. Compared to single ethanol detection or single strain detection, this application can more effectively distinguish between actual microleakage risk and environmental disturbances, thereby improving the reliability of early warning for microleakage in ceramic jars.

[0082] Those skilled in the art will recognize that the embodiments described herein are intended to help the reader understand the principles of the invention, and should be understood that the scope of protection of the invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific modifications and combinations based on the technical teachings disclosed in this invention without departing from the spirit of the invention, and these modifications and combinations are still within the scope of protection of this invention.

Claims

1. A method for early warning of micro-leakage in ceramic jars based on ethanol permeation-strain characteristics, characterized in that, Includes the following steps: S1. Fiber optic sensing units are installed on the outer wall of the ceramic jar to be monitored, including a first sensing channel and a second sensing channel. S2. Based on the deployed fiber optic sensing units, a strain gradient characteristic sequence of the outer wall of the ceramic jar is generated. S3. Calculate the ethanol permeation-strain coupling coefficient based on the strain gradient characteristic sequence; S4. Based on the ethanol permeation-strain coupling coefficient, determine whether there is an early micro-leakage risk in the ceramic jar and generate an early warning signal.

2. The method for early warning of micro-leakage in ceramic jars based on ethanol permeation-strain characteristics according to claim 1, characterized in that, The first sensing channel is used to acquire the ethanol response characteristic; the second sensing channel is used to acquire the strain characteristic of the outer wall of the ceramic jar.

3. The method for early warning of micro-leakage in ceramic jars based on ethanol permeation-strain characteristics according to claim 2, characterized in that, The ethanol response characteristics include at least one of the following: spectral intensity change, wavelength shift, reflection spectrum change, or scattering spectrum change caused by ethanol vapor acting on the sensitive membrane.

4. The method for early warning of micro-leakage in ceramic jars based on ethanol permeation-strain characteristics according to claim 2, characterized in that, The first sensing channel is a fiber core coated with a polydimethylsiloxane-graphene composite sensitive film, and the second sensing channel is a strain-sensitive fiber core or a temperature-compensated fiber core.

5. The method for early warning of micro-leakage in ceramic jars based on ethanol permeation-strain characteristics according to claim 1, characterized in that, In step S2, the ethanol response sequence output by the first sensing channel is obtained, the strain response sequence output by the second sensing channel is obtained, and the strain gradient feature sequence of the outer wall of the ceramic jar is generated based on the ethanol response sequence and the strain response sequence.

6. The method for early warning of micro-leakage in ceramic jars based on ethanol permeation-strain characteristics according to claim 5, characterized in that, The strain gradient feature sequence is generated based on at least one of the strain difference, strain spatial derivative, strain rate of change, or local strain anomaly amplitude at the detection location on the outer wall of the pottery jar.

7. The method for early warning of micro-leakage in ceramic jars based on ethanol permeation-strain characteristics according to claim 1, characterized in that, The ethanol permeation-strain coupling coefficient for: ； in, This is the ethanol response sequence. For strain gradient characteristic sequence, For sliding time windows, For covariance, The standard deviation of the ethanol response sequence over the sliding time window. The standard deviation of the strain gradient characteristic sequence within the sliding time window is given. As a stable term, Sampling time, For a moment.

8. The method for early warning of micro-leakage in ceramic jars based on ethanol permeation-strain characteristics according to claim 1, characterized in that, In step S4, when the ethanol permeation-strain coupling coefficient is greater than the preset coupling threshold and the ethanol response sequence meets the upward trend criterion within the preset continuous time window, it is determined that there is an early micro-leakage risk in the ceramic jar, and an early warning signal is generated.

9. A micro-leakage early warning system for ceramic jars based on ethanol permeation-strain characteristics, characterized in that, include: Fiber optic sensing units are installed on the outer wall of each ceramic jar. The data acquisition unit is used to acquire the ethanol response sequence output by the first sensing channel and the strain response sequence output by the second sensing channel. The coupling characteristic calculation module is used to calculate the ethanol permeation-strain coupling coefficient; The early warning criterion engine is used to generate an early warning signal when the ethanol permeation-strain coupling coefficient is greater than a preset coupling threshold and the ethanol response sequence meets a preset trend criterion. The strain gradient feature generation module is used to generate a strain gradient feature sequence of the outer wall of the ceramic jar based on the strain response sequence. The threshold calibration module is used to dynamically calibrate the preset coupling threshold based on confirmed leakage events, non-leakage events, or environmental disturbance events.

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