A tea moisture warning method and system based on micro-temperature disturbance recovery characteristics

Abstract

This invention provides a method and system for early warning of tea dampness based on micro-temperature perturbation recovery characteristics, belonging to the field of tea monitoring technology. The method includes: setting up a target tea area and a vapor-barrier, heat-permeable reference area within a sealed tea storage unit, and simultaneously collecting the initial temperatures of both areas; applying a reversible micro-temperature step with an amplitude not exceeding the permissible storage temperature difference to the target tea area using a thermoelectric transducer attached to the inner wall of the storage unit; simultaneously collecting the target recovery temperature sequence and the reference recovery temperature sequence after the step stops; obtaining a tea heat slow-release differential curve after deducting environmental drift by subtracting the difference between the two sequences relative to the initial temperatures of the two areas; and extracting at least two of the following from the tea heat slow-release differential curve: half-life recovery time, initial normalized fallback rate, and residual heat area at the end, to form a recovery feature set.

Description

Technical Field

[0001] This invention belongs to the field of tea monitoring technology, specifically a method and system for early warning of tea dampness based on micro-temperature disturbance recovery characteristics. Background Technology

[0002] Tea leaves are prone to slowly becoming damp due to factors such as fluctuations in external humidity, differences in moisture permeability of packaging, and residual moisture from opening and closing operations.

[0003] Tea leaves that have become damp usually do not show obvious changes in appearance immediately in the early stages, but their moisture content will affect the preservation of aroma, the stability of color, and the quality of subsequent brewing. Therefore, it is necessary to provide early warning before obvious mold or quality deterioration occurs.

[0004] Existing methods for monitoring moisture absorption in tea rely heavily on recording environmental temperature and humidity, periodic sampling and weighing, moisture meter testing, near-infrared spectroscopy, or manual sensory inspection. Among these methods, environmental humidity can only reflect the storage space conditions and is difficult to accurately characterize the changes in the thermophysical properties of the tea itself after absorbing moisture. Sampling and testing can easily disrupt the sealed storage conditions, and the frequency of testing is also limited by human and equipment conditions. Simply judging the temperature and humidity thresholds is easily affected by environmental drift, sensor position, and thermal inertia of the packaging, leading to unstable early moisture absorption identification. Summary of the Invention

[0005] The purpose of this invention is to address the aforementioned problems in existing technologies by proposing a method and system for early warning of tea moisture absorption based on micro-temperature perturbation recovery characteristics.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] Firstly, in order to solve the above-mentioned technical problems, the present invention provides a method for early warning of tea moisture absorption based on micro-temperature perturbation recovery characteristics, comprising:

[0008] A target tea area and a vapor-barrier, heat-permeable reference area were set up within a closed tea storage unit, and the initial temperatures of the two areas were collected simultaneously.

[0009] A reversible micro-temperature step with an amplitude not exceeding the permissible storage temperature difference is applied to the target tea area by a thermoelectric transducer attached to the inner wall of the storage unit;

[0010] After stopping the step jump, the target recovery temperature sequence and the reference recovery temperature sequence are acquired synchronously.

[0011] The difference between the changes in the initial temperature of the two sequences relative to the two regions is used to obtain the heat-release differential curve of tea after deducting environmental drift;

[0012] Extract at least two of the following from the tea heat-release differential curve: half-life recovery time, initial normalized fallback rate, and residual heat area in the tail section, to form a recovery feature set;

[0013] The moisture deviation was obtained by comparing the recovery feature group with the dry retention standard under the same tea type, same filling thickness, and same packaging moisture permeability level.

[0014] When the moisture deviation continuously meets the warning criteria, the moisture warning level is output.

[0015] In the above-mentioned tea moisture-affected early warning method based on micro-temperature disturbance recovery characteristics, the reversible micro-temperature step is generated by a thermoelectric transducer according to a preset pulse power. The amplitude of the reversible micro-temperature step is 0.2℃ to 1.5℃, the duration is 5s to 120s, and the maximum temperature of the thermoelectric transducer in contact with the tea does not exceed the permissible storage temperature.

[0016] In the above-mentioned tea moisture-induced early warning method based on micro-temperature perturbation recovery characteristics, the vapor-barrier and heat-permeable reference zone includes a reference cavity adjacent to the target tea area. An inert reference body that matches the heat capacity of the target tea area and does not absorb moisture is set in the reference cavity. The reference cavity allows heat transfer while blocking water vapor exchange.

[0017] In the above-mentioned tea moisture-induced early warning method based on micro-temperature perturbation recovery characteristics, the tea heat slow-release differential curve is obtained by subtracting the change of the reference recovery temperature sequence relative to the reference initial temperature from the change of the target recovery temperature sequence relative to the target initial temperature at the same sampling time.

[0018] In the above-mentioned tea moisture-induced early warning method based on micro-temperature perturbation recovery characteristics, the half-life recovery time is the time required for the tea heat slow-release differential curve to fall back from the peak to half of the peak.

[0019] The initial normalized fallback rate is the ratio of the linear fallback slope of a preset number of sampling points after the step stop to the step amplitude.

[0020] The residual heat area in the tail section is the integral of the absolute value of the curve within a preset tail section time window.

[0021] In the above-mentioned tea moisture-affected early warning method based on micro-temperature disturbance recovery characteristics, the drying sample retention benchmark is obtained in advance by testing the same type of tea with moisture content within the qualified storage range under the same packing thickness, the same packaging moisture permeability level and the same temperature sampling location, and is updated with each batch of samples.

[0022] In the above-mentioned tea moisture-affected early warning method based on micro-temperature perturbation recovery characteristics, when the drift amplitude of the reference recovery temperature sequence after the stop step exceeds the preset proportion of the reversible micro-temperature step amplitude, the current recovery feature group is discarded and the reversible micro-temperature step is reapplied.

[0023] In the above-mentioned tea moisture-affected early warning method based on micro-temperature disturbance recovery characteristics, the early warning criteria include a first deviation threshold and a second deviation threshold that is greater than the first deviation threshold; when the moisture-affected deviation amount obtained at least twice consecutively reaches the first deviation threshold and is less than the second deviation threshold, the attention level is output; when the moisture-affected deviation amount obtained at least twice consecutively reaches the second deviation threshold, the handling level is output.

[0024] Secondly, in order to solve the above-mentioned technical problems, the present invention provides a tea moisture-affected early warning system based on micro-temperature perturbation recovery characteristics, comprising:

[0025] An initial temperature acquisition module is used to simultaneously acquire the initial temperature of the target tea area and the vapor-barrier heat-permeable reference area;

[0026] A micro-temperature disturbance module is used to apply a reversible micro-temperature step to the target tea area by a thermoelectric transducer attached to the inner wall of the storage unit, with an amplitude not exceeding the permissible storage temperature difference.

[0027] The temperature recovery acquisition module is used to synchronously acquire the target recovery temperature sequence and the reference recovery temperature sequence after the step is stopped;

[0028] The differential curve generation module is used to obtain the tea heat slow-release differential curve after deducting environmental drift by subtracting the changes in the initial temperature of the two sequences relative to the two regions.

[0029] The feature extraction module is used to extract at least two of the following from the tea heat-release differential curve: half-life recovery time, initial normalized fall rate, and tail residual heat area, to form a recovery feature set.

[0030] The moisture deviation calculation module is used to compare the recovery feature group with the dry retention benchmark under the same tea type, same filling thickness, and same packaging moisture permeability level to obtain the moisture deviation amount;

[0031] The early warning output module is used to output the early warning level when the moisture deviation continuously meets the early warning criteria.

[0032] Compared with the prior art, the present invention has at least the following beneficial effects:

[0033] This invention simultaneously sets up a target tea area and a vapor-barrier, heat-permeable reference area within a sealed tea storage unit. By subtracting the change in the recovery temperature sequence of the two areas relative to the initial temperature, it can eliminate the interference of slow drift in the storage environment on the temperature recovery process, allowing the moisture assessment to better reflect changes in the tea's own slow-release heat characteristics. This invention applies a reversible micro-temperature step with an amplitude not exceeding the permissible storage temperature difference through a thermoelectric transducer, which can induce an observable recovery response without significantly altering the tea's storage state, making it suitable for repeated testing under sealed storage conditions. This invention extracts at least two of the following from the tea's slow-release differential curve: half-life recovery time, initial normalized fall rate, and residual heat area. Comparing these with a dry sample benchmark under the same tea type, packing thickness, and packaging moisture permeability level reduces misjudgments caused by differences in tea type and packing. This invention outputs a moisture warning level only after continuously meeting the warning criteria, reducing false alarms caused by occasional disturbances and providing a grading basis for subsequent monitoring or handling. Attached Figure Description

[0034] Figure 1 This is a flowchart illustrating the tea moisture-affected early warning method based on micro-temperature perturbation recovery characteristics in this invention.

[0035] Figure 2 This is a schematic diagram illustrating the processing of the tea heat-release differential curve, recovery feature group extraction, and early warning criterion judgment in this invention.

[0036] Figure 3 This is a schematic diagram of the tea moisture-affected early warning system based on micro-temperature perturbation recovery characteristics in this invention. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0038] Reference Figure 1 As shown, this application provides a method for early warning of tea moisture absorption based on micro-temperature perturbation recovery characteristics. This method is used to identify the moisture state of tea within a closed tea storage unit with low perturbation, and to determine the degree of deviation from the dry sample state by the recovery characteristics of the tea after the cessation of minor thermal perturbation. The closed tea storage unit can be a tea storage box, a sealed storage tank, a detection cavity within packaging, or a closed detection unit that works in conjunction with tea packaging. Its interior forms a relatively stable heat exchange space, allowing the target tea area and the vapor-proof, heat-permeable reference area to be observed synchronously under the same external environmental changes.

[0039] S101. Set up a target tea area and a vapor-proof and heat-permeable reference area in the closed tea storage unit, and collect the initial temperature of the two areas simultaneously.

[0040] Specifically, the target tea area is used to accommodate tea leaves awaiting warning, while the vapor-proof and heat-permeable reference area is used to provide a temperature reference adjacent to the target tea area. The two areas are located within the same enclosed tea storage unit, allowing them to experience both the slow changes in external ambient temperature and the changes in heat transfer from the storage unit walls.

[0041] Specifically, synchronously acquiring the initial temperatures of the two zones means obtaining the target initial temperature of the target tea zone and the reference initial temperature of the vapor barrier and heat dissipation reference zone at the same sampling trigger time or the same sampling period before applying a reversible micro-temperature step, thereby providing a starting point for the calculation of the relative changes in the subsequent temperature sequence recovery.

[0042] Furthermore, the initial temperature can be obtained within a stable time window before the reversible micro-temperature step is applied. If the temperature fluctuations in the two regions within the stable time window are within a preset allowable range, the representative value within the stable time window is used as the initial temperature to reduce the impact of random noise from a single sampling point on the subsequent tea heat release differential curve.

[0043] S102, A reversible micro-temperature step with an amplitude not exceeding the permissible storage temperature difference is applied to the target tea area by a thermoelectric transducer attached to the inner wall of the storage unit.

[0044] Specifically, the thermoelectric transducer is attached to the inner wall of the storage unit, so that heat can be transferred to the target tea area through the inner wall of the storage unit or the heat transfer interface adjacent to the inner wall, avoiding the need to place additional heating components in the target tea area that would change the stacking state of the tea.

[0045] Specifically, reversible micro-temperature step refers to a temperature disturbance that can be detected in the target tea area for a short period of time without damaging its storage state, and allows the target tea area to recover naturally after the step stops, relying on its own heat diffusion and heat exchange with the surrounding environment, thereby forming a target recovery temperature sequence that can be analyzed.

[0046] Furthermore, the amplitude not exceeding the permissible storage temperature difference can limit the perturbation intensity, so that the perturbation is not intended for drying, baking or significant temperature increase, but only serves as a detection input to stimulate the slow-release thermal response of tea leaves.

[0047] S103. After stopping the step, synchronously acquire the target recovery temperature sequence and the reference recovery temperature sequence.

[0048] Specifically, after the step stop, the temperature of the target tea area drops back from the disturbed state to the initial near state. The reference area is simultaneously affected by environmental drift and wall heat transfer within the same closed tea storage unit. Therefore, collecting the target recovery temperature sequence and the reference recovery temperature sequence separately can record the recovery process of the two areas on the same time axis.

[0049] Specifically, the sampling times of the target recovery temperature sequence and the reference recovery temperature sequence are kept consistent, so that the target temperature value and the reference temperature value at the same sampling time can directly participate in the subsequent differential calculation, avoiding the distortion of the curve shape caused by sampling misalignment.

[0050] Furthermore, the duration of the recovery collection can cover the main process of the target tea area from the peak to the stable tail section, so that the subsequently extracted half-life recovery time, the initial normalized decline rate and the tail residual heat area can correspond to the information of the middle and early stages, the initial stage and the tail section of the recovery process, respectively.

[0051] S104. The difference between the changes in the initial temperature of the two sequences relative to the two regions is used to obtain the tea heat slow-release differential curve after deducting environmental drift.

[0052] Specifically, for each sampling time, the change in the target recovery temperature sequence relative to the target initial temperature is first calculated, and the change in the reference recovery temperature sequence relative to the reference initial temperature is also calculated. The difference between the two is then used to obtain the tea heat slow-release differential curve, so that the slow environmental drift shared by the reference area is deducted from the recovery response of the target area.

[0053] Specifically, the thermal slow-release differential curve of tea can be expressed as follows: ,in Indicates the sampling time The thermal slow-release differential value of tea This indicates the target recovered temperature sequence at the sampling time. temperature, Indicates the initial temperature of the target. This indicates the reference recovery temperature sequence at the sampling time. temperature, This indicates the reference initial temperature.

[0054] Furthermore, the differential thermal release curve of tea leaves preserves the recovery difference between the target tea area and the reference area. When the tea leaves become damp, causing changes in their heat capacity, heat conduction path, or moisture-related thermal release behavior, the rate of decline, half-life, and tail-end residue of the curve will all change accordingly.

[0055] S105. Extract at least two of the following from the tea heat-release differential curve: half-life recovery time, initial normalized fallback rate, and tail residual heat area, to form a recovery feature set.

[0056] Specifically, the half-life recovery time is used to characterize the time scale required for the tea thermal slow-release differential curve to fall back from the peak to the intermediate level, the initial normalized fall rate is used to characterize the speed of the early fall of the curve after the stop step, and the tail residual heat area is used to characterize the differential thermal response amount still retained in the recovery stage.

[0057] Specifically, the recovery feature group consists of at least two of the above features, so that the dampness warning does not rely on a single temperature point or a single instantaneous slope, but comprehensively utilizes the time scale of the recovery process, the initial dynamics, and the residual information at the end.

[0058] Furthermore, when there is local noise in the acquisition curve, the tea heat-release differential curve can be smoothed or robustly fitted without changing the corresponding relationship of the sampling time, so as to stably extract and recover the feature set.

[0059] S106. Compare the restored characteristic group with the dry retention standard under the same tea type, same filling thickness, and same packaging moisture permeability level to obtain the moisture deviation amount.

[0060] Specifically, the dry sample retention benchmark corresponds to the dry sample retention state of the target tea area, which belongs to the same tea type, the same packing thickness, and the same packaging moisture permeability level. Therefore, the comparison objects are consistent in terms of tea type, stacking geometry, and packaging moisture permeability conditions, and the moisture deviation can more effectively reflect the deviation of the tea to be warned from the qualified storage state.

[0061] Specifically, the moisture deviation can be obtained from the normalized difference of each characteristic in the recovery characteristic group relative to the dry sample baseline, for example... ,in This indicates the amount of moisture deviating from the expected value. Indicates the first in the recovery feature group Item features, This indicates the corresponding number in the dry sample retention standard. Item features, Indicates the first The weights of each feature are given, and the sum of the weights of each feature is 1.

[0062] Furthermore, when the recovery feature group contains only two features, the moisture deviation can be formed by the comparison results corresponding to those two features. When the recovery feature group contains three features, the moisture deviation can be formed by simultaneously utilizing the deviation of the half-life recovery time, the initial normalized fall rate, and the tail residual heat area.

[0063] S107. When the moisture deviation continuously meets the warning criteria, output the moisture warning level.

[0064] Specifically, continuously meeting the warning criteria means that in multiple adjacent micro-temperature disturbance recovery detections, the moisture deviation reaches the deviation state required by the warning criteria, or the judgment result of meeting the warning criteria appears continuously within the preset detection period.

[0065] Specifically, outputting a moisture warning level can be used to indicate that tea is currently in a moisture risk state that requires attention or treatment, enabling managers to choose to continue observation, strengthen sealing, transfer storage, or conduct further moisture verification based on the warning level.

[0066] Based on the above scheme, this application separates the heat release difference caused by moisture in tea from environmental drift by synchronously recovering and comparing the target tea area and the vapor barrier heat reference area, and uses the deviation between the recovery characteristic group and the dry sample retention benchmark as the basis for early warning, so that the tea moisture warning under closed storage conditions has the characteristics of low disturbance, repeatability and graded output.

[0067] For example, a closed tea storage unit is used to store strip-shaped green tea of ​​the same type. The tea leaves in the target tea area are kept at a fixed packing thickness. The vapor-proof and heat-permeable reference area is set up in parallel with the target tea area. During detection, the initial temperatures of the two areas are recorded synchronously. Then, a reversible micro-temperature step, not exceeding the permissible storage temperature difference, is applied to the target tea area by a thermoelectric transducer attached to the inner wall of the storage unit. After the step stops, the target recovery temperature sequence and the reference recovery temperature sequence are collected with the same sampling period, and a tea heat slow-release differential curve is generated. When the half-life recovery time and the residual heat area at the end of the curve continue to increase relative to the dry sample retention benchmark, the system inputs the corresponding moisture deviation into the warning criterion and outputs the corresponding moisture warning level.

[0068] In some embodiments, the reversible micro-temperature step is generated by a thermoelectric transducer at a preset pulse power, the amplitude of the reversible micro-temperature step is 0.2°C to 1.5°C, the duration is 5s to 120s, and the maximum temperature of the thermoelectric transducer in contact with the tea leaves does not exceed the permissible storage temperature.

[0069] Specifically, the preset pulse power is used to limit the input intensity of the thermoelectric transducer during the step phase, so that the thermoelectric transducer can form a stable and repeatable micro-temperature disturbance in a short time, while avoiding excessive local temperature rise due to excessive power.

[0070] Limiting the amplitude of the reversible micro-temperature step to 0.2℃ to 1.5℃ allows for a sufficient recovery response within the temperature sensor's resolution range without significantly altering the storage conditions of the target tea-growing region.

[0071] Limiting the duration to 5 to 120 seconds allows for observable heat input to the target tea area and avoids unnecessary changes in the moisture content, aroma, or thermal equilibrium of the tea leaves due to prolonged heating.

[0072] Specifically, by ensuring that the maximum temperature of the thermoelectric transducer in contact with the tea leaves does not exceed the permissible storage temperature, the detection process can be kept within the permissible storage temperature range for tea leaves, thus limiting the function of the thermoelectric transducer to detecting disturbances rather than processing or drying.

[0073] Based on the above scheme, the preset pulse power, step amplitude, duration and maximum temperature boundary together define the safe detection range of reversible micro-temperature step, making the recovery feature groups under different detection cycles comparable, and reducing the impact of thermal disturbance itself on the storage quality of tea.

[0074] For example, in the specific implementation process, in the closed tea storage unit of strip green tea, the thermoelectric transducer operates at a preset pulse power for 30 seconds, so that the target tea area forms a reversible micro-temperature step of about 0.8℃. During the step, the highest temperature of the contact surface between the thermoelectric transducer and the tea is monitored and confirmed to be lower than the storage allowable temperature. Then the step is stopped immediately and the recovery sampling stage is entered. The target recovery temperature sequence obtained in this way can form a stable tea heat slow release differential curve together with the reference recovery temperature sequence of the same time.

[0075] In some embodiments, the vapor-barrier and heat-permeable reference zone includes a reference cavity adjacent to the target tea area. The reference cavity is provided with an inert reference body that matches the heat capacity of the target tea area and does not absorb moisture. The reference cavity allows heat transfer while blocking water vapor exchange.

[0076] Specifically, the reference cavity is set adjacent to the target tea area, so that the reference cavity can be in an external thermal environment close to the target tea area, and can reflect the influence of heat transfer on the inner wall of the closed tea storage unit and the ambient temperature drift on the temperature acquisition results.

[0077] Specifically, an inert reference body that matches the heat capacity of the target tea area and is non-hygroscopic is used to provide a thermal response reference. Its heat capacity matching enables the reference area to have a similar thermal inertia under the background of temperature disturbance, while its non-hygroscopic properties can prevent the reference body from undergoing thermal property changes similar to those of tea when it gets damp due to water vapor exchange.

[0078] Specifically, the reference chamber allows heat transfer while blocking moisture exchange, so that the target tea area and the vapor-barrier and heat-permeable reference area can be affected by changes in the thermal environment together, but the reference area will not absorb moisture from the target tea area or the storage unit.

[0079] Based on the above scheme, the vapor-barrier and heat-permeable reference zone maintains its environmental reference function through heat transfer and maintains a non-hygroscopic reference state by blocking water vapor exchange, thereby improving the sensitivity of the tea heat slow-release differential curve to the moisture changes of the tea itself.

[0080] For example, in the same closed tea storage unit, strips of green tea with a fixed filling thickness are placed in the target tea area, and an inert reference body that matches the heat capacity of the target tea area and does not absorb moisture is placed in the reference cavity next to it. The wall of the reference cavity adopts a structure that allows heat transfer but blocks water vapor exchange. During the detection, the temperature of the reference cavity changes slowly with the thermal environment inside the storage unit, but the state of the reference body will not change due to the release or absorption of water vapor by the tea.

[0081] Reference Figure 2 As shown, in some embodiments, the tea heat-release differential curve is obtained by subtracting the change in the reference recovery temperature sequence from the change in the reference initial temperature from the change in the target recovery temperature sequence relative to the target initial temperature at the same sampling time.

[0082] Specifically, the calculation method at the same sampling time requires that the target recovery temperature sequence and the reference recovery temperature sequence correspond point by point on the time axis, so that the difference between the change in the target area and the change in the reference area has a clear physical meaning.

[0083] Specifically, the change in the target recovery temperature sequence relative to the target initial temperature represents the temperature shift of the target tea area after being affected by the reversible micro-temperature step and its own heat release, while the change in the reference recovery temperature sequence relative to the reference initial temperature represents the temperature shift of the vapor barrier and heat transfer reference area after being affected by environmental drift and heat transfer background during the same period.

[0084] Specifically, by subtracting the second change from the first change, the slow change in ambient temperature experienced by both regions can be weakened at the curve level, making the difference result closer to the heat release difference of the target tea region relative to the non-hygroscopic reference state.

[0085] Based on the above scheme, performing relative change differential at the same sampling time can avoid absolute temperature bias, sensor zero-point difference and environmental drift from directly entering the recovery feature group, thereby improving the stability of moisture deviation.

[0086] For example, in the above-mentioned strip green tea detection, the system records the target recovery temperature sequence and the reference recovery temperature sequence with the same sampling period. The initial temperature of the corresponding area is subtracted from each sampling point first, and then the change in the target area is subtracted from the change in the reference area point by point. The peak, fall process and tail residue of the resulting tea heat slow release differential curve after the step stop are all used as the data source for the subsequent recovery feature group.

[0087] In some embodiments, the half-life recovery time is the time required for the tea thermal slow-release differential curve to fall back from its peak to half of its peak; the initial normalized fall rate is the ratio of the linear fall slope of a preset number of sampling points after the step stop to the step amplitude; and the tail residual heat area is the integral of the absolute value of the curve within a preset tail time window.

[0088] Specifically, the half-life recovery time is taken as the peak value of the tea heat slow-release differential curve and the end value is the moment when the curve falls back to half of the peak value. Therefore, this feature can reflect the recovery speed of the target tea area relative to the vapor barrier heat transmission reference area.

[0089] Specifically, the initial normalized descent rate is calculated by using a preset number of sampling points after the step stop to perform a linear descent slope, and the ratio of this linear descent slope to the step amplitude is processed so that the initial descent speed under different step amplitudes can be compared.

[0090] Specifically, the initial normalized rate of decline can be expressed as: ,in This represents the initial normalized rate of decline. This represents the linear retracement slope obtained by fitting a preset number of sampling points after the step jump stops. This represents the step amplitude of a reversible micro-temperature step.

[0091] Specifically, the residual heat area in the tail section is obtained by integrating the absolute value of the differential heat release curve of tea leaves within a preset tail section time window. This feature can reflect the differential heat response that has not completely dissipated in the recovery phase.

[0092] Based on the above scheme, the half-life recovery time, the initial normalized fall rate, and the residual heat area in the tail section are used to characterize the heat release differential curve of tea from three perspectives: recovery time, initial dynamics, and tail residue, so that the recovery feature group can more comprehensively characterize the heat release changes caused by moisture.

[0093] For example, in the above-mentioned strip-shaped green tea detection, after the system identifies the peak value from the tea's heat slow-release differential curve, it records the time when the curve drops to half of the peak value as the half-life recovery time. It then selects several consecutive sampling points after the step stop to fit the initial normalized fall rate. At the same time, it sets a tail time window in the later stage of the recovery process to calculate the tail residual heat area. When the damp tea shows a longer half-life recovery time and a larger tail residual heat area compared to the dry sample, the recovery feature group will show a more obvious dampness deviation.

[0094] In some embodiments, the drying retention benchmark is obtained in advance by testing similar teas with moisture content within the acceptable storage range at the same packing thickness, the same packaging moisture permeability level, and the same temperature sampling location, and is updated with each batch of retention samples.

[0095] Specifically, similar teas with moisture content within the acceptable storage range are used to form a dry retention benchmark, so that the benchmark curve and benchmark characteristics represent the micro-temperature disturbance recovery behavior of this type of tea under normal storage conditions.

[0096] Specifically, the same packing thickness is used to reduce the impact of differences in tea bulk density and heat diffusion paths on the recovery characteristic group, and the same packaging moisture permeability level is used to reduce the impact of differences in packaging moisture exchange capacity on the rate of moisture formation and temperature recovery process.

[0097] Specifically, the same temperature acquisition location is used to maintain the spatial comparability of the target recovery temperature sequence and the reference recovery temperature sequence, and to avoid deviations between the benchmark and the measured results caused by the acquisition location being close to the thermoelectric transducer or far from the heat transfer path.

[0098] Specifically, batch-based sample updating refers to retesting or revising the drying sample benchmark using tea leaves with moisture content within the acceptable storage range in the corresponding batch when the tea batch or sample status changes, so that the comparison object for moisture deviation is consistent with the current object to be warned.

[0099] Based on the above scheme, the dry sample retention benchmark maintains consistent comparison conditions by using the same type of tea, the same packing thickness, the same packaging moisture permeability level, the same temperature sampling location, and batch sample updates, thereby reducing the interference of non-moisture factors on early warning judgment.

[0100] For example, for the aforementioned strip-shaped green tea, the system selects similar teas with a moisture content within the acceptable storage range as dry samples before placing them into the closed tea storage unit. Under the same packing thickness, the same packaging moisture permeability level, and the same temperature sampling location, a pre-test is performed to obtain the baseline values ​​of half-life recovery time, initial normalized fall rate, and tail residual heat area under this scenario. The dry sample baseline is then updated synchronously when subsequent batches of samples are updated.

[0101] In some embodiments, when the drift amplitude of the reference recovery temperature sequence after the stop step exceeds a preset proportion of the reversible micro-temperature step amplitude, the current recovery feature group is discarded and a reversible micro-temperature step is reapplied.

[0102] Specifically, the drift amplitude of the reference recovery temperature sequence after the step stop is used to characterize the intensity of the ambient temperature change in the vapor barrier heat transfer reference area during this recovery acquisition period. When the drift amplitude is too large, it indicates that the environmental disturbance has approached or exceeded the effective detection scale of this micro-temperature step. The drift amplitude of the reference recovery temperature sequence after the step stop is the difference between the maximum and minimum temperature values ​​of the reference recovery temperature sequence within the recovery acquisition time window after the step stop.

[0103] Specifically, by comparing the drift amplitude of the reference recovery temperature sequence with the preset ratio of the reversible micro-temperature step amplitude, it is possible to adaptively determine whether the drift of the reference region will significantly affect the tea heat slow-release differential curve based on the intensity of the current disturbance.

[0104] Specifically, discarding the current recovery feature set can prevent the half-life recovery time, initial normalized fallback rate, or tail residual heat area contaminated by strong environmental drift from entering the calculation of moisture deviation. Reapplying a reversible micro-temperature step is then used to reacquire the recovery feature set under more stable conditions.

[0105] Based on the above scheme, the validity judgment of the drift amplitude of the reference recovery temperature sequence is used to provide quality control for the recovery feature group, so that the output of the dampness warning level is based on the available recovery curve.

[0106] For example, in the above-mentioned strip-shaped green tea detection, if the reference recovery temperature sequence after the step is stopped shows obvious unidirectional drift due to rapid changes in external temperature, and the drift amplitude exceeds the preset proportion of the current reversible micro-temperature step amplitude, the system will not write the half-life recovery time, the initial normalized fall rate, and the tail residual heat area into the warning judgment. Instead, after the closed tea storage unit has recovered to a relatively stable state, the reversible micro-temperature step will be applied again and the recovery temperature sequences of the two regions will be collected again.

[0107] In some embodiments, the warning criteria include a first deviation threshold and a second deviation threshold that is greater than the first deviation threshold; when the moisture deviation amount obtained at least twice consecutively reaches the first deviation threshold and is less than the second deviation threshold, an attention level is output; when the moisture deviation amount obtained at least twice consecutively reaches the second deviation threshold, a handling level is output.

[0108] Specifically, the first deviation threshold is used to identify a state where the heat-release characteristics of tea have deviated from the drying and retention benchmark but have not yet reached a high risk level, while the second deviation threshold is used to identify a state where the degree of deviation is higher and remedial measures are required.

[0109] Specifically, since the second deviation threshold is greater than the first deviation threshold, the amount of moisture deviation can be divided into different risk levels according to the degree of deviation, thereby avoiding giving an overly coarse warning result based on a single threshold.

[0110] Specifically, the level of concern or the level of action are output only after the moisture deviation obtained at least twice in a row reaches the corresponding threshold. This can filter out abnormal judgments caused by one-time temperature disturbances, occasional sampling noise or short-term environmental changes.

[0111] Based on the above scheme, the first deviation threshold, the second deviation threshold, and the judgment condition of at least two consecutive deviations together constitute the hierarchical early warning logic, enabling the system to both provide attention and warnings for early dampness risks and output the handling level when the deviation continues to worsen.

[0112] For example, in the detection of strip-shaped green tea, the system performs a reversible micro-temperature step recovery test every preset detection cycle, and obtains the moisture deviation based on the comparison between the recovery feature group and the dry retention sample benchmark. If the moisture deviation reaches the first deviation threshold but is less than the second deviation threshold twice in a row, the system outputs the attention level and prompts for enhanced observation. If the moisture deviation reaches the second deviation threshold twice in a row, the system outputs the treatment level and prompts for sealing inspection or moisture verification.

[0113] Reference Figure 3 As shown, a tea moisture-affected early warning system based on micro-temperature perturbation recovery characteristics includes:

[0114] An initial temperature acquisition module is used to simultaneously acquire the initial temperature of the target tea area and the vapor-barrier heat-permeable reference area;

[0115] A micro-temperature disturbance module is used to apply a reversible micro-temperature step to the target tea area by a thermoelectric transducer attached to the inner wall of the storage unit, with an amplitude not exceeding the permissible storage temperature difference.

[0116] The temperature recovery acquisition module is used to synchronously acquire the target recovery temperature sequence and the reference recovery temperature sequence after the step is stopped;

[0117] The differential curve generation module is used to obtain the tea heat slow-release differential curve after deducting environmental drift by subtracting the changes in the initial temperature of the two sequences relative to the two regions.

[0118] The feature extraction module is used to extract at least two of the following from the tea heat-release differential curve: half-life recovery time, initial normalized fall rate, and tail residual heat area, to form a recovery feature set.

[0119] The moisture deviation calculation module is used to compare the recovery feature group with the dry retention benchmark under the same tea type, same filling thickness, and same packaging moisture permeability level to obtain the moisture deviation amount;

[0120] The early warning output module is used to output the early warning level when the moisture deviation continuously meets the early warning criteria.

[0121] It should be noted that all directional indications in the embodiments of the present invention, such as up, down, left, right, front, back, etc., are only used to explain the relative positional relationship and movement of the components in a specific posture, as shown in the attached figure. If the specific posture changes, the directional indication will also change accordingly.

[0122] Furthermore, the use of terms such as "first" and "second" in this invention is for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Meanwhile, the word "and / or" throughout the text means including three solutions; for example, "A and / or B" includes solution A, solution B, or a solution that simultaneously satisfies A and B. Additionally, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0123] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. A tea moisture warning method based on micro-temperature disturbance recovery characteristics, characterized in that, include: A target tea area and a vapor-barrier, heat-permeable reference area were set up within a closed tea storage unit, and the initial temperatures of the two areas were collected simultaneously. A reversible micro-temperature step with an amplitude not exceeding the permissible storage temperature difference is applied to the target tea area by a thermoelectric transducer attached to the inner wall of the storage unit; After stopping the step jump, the target recovery temperature sequence and the reference recovery temperature sequence are acquired synchronously. The difference between the changes in the initial temperature of the two sequences relative to the two regions is used to obtain the heat-release differential curve of tea after deducting environmental drift; Extract at least two of the following from the tea heat-release differential curve: half-life recovery time, initial normalized fallback rate, and residual heat area in the tail section, to form a recovery feature set; The moisture deviation was obtained by comparing the recovery feature group with the dry retention standard under the same tea type, same filling thickness, and same packaging moisture permeability level. When the moisture deviation continuously meets the warning criteria, the moisture warning level is output.

2. The method for early warning of tea moisture according to the micro-temperature disturbance recovery characteristics according to claim 1, characterized in that, The reversible micro-temperature step is generated by the thermoelectric transducer according to a preset pulse power. The amplitude of the reversible micro-temperature step is 0.2℃ to 1.5℃, the duration is 5s to 120s, and the maximum temperature of the thermoelectric transducer in contact with the tea leaves does not exceed the storage permit temperature.

3. The method of claim 1, wherein the micro-temperature perturbation recovery feature is a temperature recovery feature. The vapor-barrier and heat-permeable reference zone includes a reference cavity adjacent to the target tea area. An inert reference body that matches the heat capacity of the target tea area and does not absorb moisture is set inside the reference cavity. The reference cavity allows heat transfer while blocking water vapor exchange.

4. The method for early warning of tea moisture according to micro-temperature disturbance recovery characteristics according to claim 1, characterized in that, The tea heat slow-release differential curve is obtained by subtracting the change of the reference recovery temperature sequence from the reference initial temperature from the change of the target recovery temperature sequence relative to the target initial temperature at the same sampling time.

5. The tea moisture-affected early warning method based on micro-temperature perturbation recovery characteristics according to claim 1, characterized in that, The half-life recovery time is the time required for the tea's thermal slow-release differential curve to fall back to half of its peak value. The initial normalized fallback rate is the ratio of the linear fallback slope of a preset number of sampling points after the step stop to the step amplitude. The residual heat area in the tail section is the integral of the absolute value of the curve within a preset tail section time window.

6. The method for early warning of tea moisture according to micro-temperature disturbance recovery characteristics according to claim 1, characterized in that, The drying retention standard is obtained in advance by testing the same type of tea with the same moisture content within the qualified storage range under the same packing thickness, the same packaging moisture permeability level, and the same temperature sampling location, and is updated with each batch of retention samples.

7. The method for early warning of tea moisture according to micro-temperature disturbance recovery characteristics according to claim 1, characterized in that, When the drift amplitude of the reference recovery temperature sequence after the stop step exceeds a preset proportion of the reversible micro-temperature step amplitude, the current recovery feature group is discarded and a reversible micro-temperature step is reapplied.

8. The method for early warning of tea moisture according to micro-temperature disturbance recovery characteristics according to claim 1, characterized in that, The warning criteria include a first deviation threshold and a second deviation threshold that is greater than the first deviation threshold; When the moisture deviation obtained at least twice consecutively reaches the first deviation threshold but is less than the second deviation threshold, the attention level is output; when the moisture deviation obtained at least twice consecutively reaches the second deviation threshold, the handling level is output.

9. A tea moisture-affected early warning system based on micro-temperature perturbation recovery characteristics, characterized in that, include: An initial temperature acquisition module is used to simultaneously acquire the initial temperature of the target tea area and the vapor-barrier heat-permeable reference area; A micro-temperature disturbance module is used to apply a reversible micro-temperature step to the target tea area by a thermoelectric transducer attached to the inner wall of the storage unit, with an amplitude not exceeding the permissible storage temperature difference. The temperature recovery acquisition module is used to synchronously acquire the target recovery temperature sequence and the reference recovery temperature sequence after the step is stopped; The differential curve generation module is used to obtain the tea heat slow-release differential curve after deducting environmental drift by subtracting the changes in the initial temperature of the two sequences relative to the two regions. The feature extraction module is used to extract at least two of the following from the tea heat-release differential curve: half-life recovery time, initial normalized fall rate, and tail residual heat area, to form a recovery feature set. The moisture deviation calculation module is used to compare the recovery feature group with the dry retention benchmark under the same tea type, same filling thickness, and same packaging moisture permeability level to obtain the moisture deviation amount; The early warning output module is used to output the early warning level when the moisture deviation continuously meets the early warning criteria.

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