An intelligent real-time control system and method for humidity in a curved room

Abstract

This application provides an intelligent real-time humidity control system and method for a qu room. The system collects humidity change information at different sampling points within the qu room; decomposes each humidity change information into multiple ascending segments and multiple descending segments based on their temporal dependencies; determines the diffusion coefficient of water molecules in each sensor when the humidity decreases based on all ascending segments, and determines the expansion coefficient caused by the polymer material of each sensor when the humidity increases based on all descending segments; determines the hysteresis coefficient of all sensors within the qu room by combining all expansion coefficients, all diffusion coefficients, and temperature change information within the qu room; and controls the humidity control device based on the hysteresis coefficient to pre-regulate the humidity within the qu room. The solution of this application can compensate for hysteresis in sensors within the qu room.

Description

Technical Field

[0001] The present application relates to the field of humidity control technology, and more specifically, to an intelligent real-time control system and method for humidity in a curved room. Background Art

[0002] Koji fermentation is an important step in the winemaking process, usually referring to the use of koji (a mixture of yeast and microorganisms) to convert the sugar in the raw materials into alcohol and carbon dioxide. The koji room is an important facility used for fermentation in winemaking production, mainly used for the fermentation of koji and the maturation of the wine. The humidity in the koji room not only affects the growth and activity of yeast, but also affects the release of carbon dioxide produced during the fermentation process and gas exchange.

[0003] In the existing technology, the humidity in the koji room is usually monitored, recorded, alarmed and automatically controlled through industrial control software. However, in actual industrial production, due to the need for fermentation of koji in the koji room, the koji room is usually in a high humidity environment for a long time. When the sensor is in a high humidity environment for a long time, the sensitivity of the sensor will decrease. Specifically, the change in the sensor's indication is slower than the change in the humidity in the koji room, that is, there is a stagnation phenomenon. For example, the humidity in the koji room increases by 5%RH, while the sensor's indication only increases by 4.8%RH. The severity of this stagnation phenomenon is related to the length of time the sensor is in a high humidity environment, and the severity of the stagnation phenomenon of different sensors is also different. The existing technology lacks research on the sensor stagnation phenomenon, which will cause the industrial control software to receive deviations in the humidity value in the koji room, resulting in poor humidity control effect in the koji room, which in turn affects the quality of koji industrial production. Therefore, how to compensate for the stagnation phenomenon of the sensor in the koji room has become a difficult problem. Summary of the Invention

[0004] The present application provides an intelligent real-time control system and method for humidity in a curved room, which can compensate for the stagnation phenomenon of sensors in the curved room.

[0005] In a first aspect, the present application provides a humidity control method, comprising:

[0006] All sensors in the room collect humidity change information at different sampling points in real time;

[0007] Decomposing each humidity change information into a plurality of rising segment data and a plurality of falling segment data according to a temporal dependency of each humidity change information;

[0008] The diffusion coefficient of water molecules in each sensor when the humidity decreases is determined based on all the rising segment data, and the expansion coefficient of the polymer material in each sensor when the humidity increases is determined based on all the falling segment data;

[0009] Acquiring temperature change information in the koji room, and extracting the duration of the water dew point in the koji room from the temperature change information;

[0010] Determining the hysteresis coefficient of all sensors in the qu room based on the diffusion coefficient of water molecules in each sensor when the humidity decreases, the expansion coefficient of the polymer material in each sensor when the humidity increases, and the duration of the water dew point in the qu room;

[0011] The hysteresis coefficient is used as a judgment value for humidity control, and a humidity adjustment instruction is generated based on a comparison result between the judgment value and a preset judgment threshold, and the humidity in the qu room is pre-controlled based on the humidity adjustment instruction.

[0012] In some embodiments, decomposing each humidity change information into a plurality of ascending segment data and a plurality of descending segment data according to the temporal dependency of each humidity change information specifically includes:

[0013] For each piece of humidity change information, determining the temporal dependency of different data segments in the each piece of humidity change information;

[0014] determining a plurality of inversion intervals of each humidity change information according to all time sequence dependencies of each humidity change information;

[0015] Each humidity change information is decomposed into a plurality of rising segment data and a plurality of falling segment data according to an inversion interval of each humidity change information.

[0016] In some embodiments, determining the diffusion coefficient of water molecules in each sensor when the humidity decreases using all rising segment data specifically includes:

[0017] Selecting a sensor as a selected sensor, and determining a plurality of response delay coefficients for each rising segment data of the selected sensor;

[0018] determining a rising response delay of each rising segment data according to all response delay coefficients of each rising segment data;

[0019] Determine the diffusion coefficient of water molecules in the selected sensor when the humidity decreases based on all rising response delays;

[0020] Continue to determine the diffusion coefficient of the water molecules remaining in the sensor as the humidity decreases.

[0021] In some embodiments, extracting the duration of the water dew point in the qu room from the temperature change information specifically includes:

[0022] Determine the water dew point sequence based on all humidity change information;

[0023] The duration of the water dew point in the qu room is determined according to the water dew point sequence and the temperature change information.

[0024] In some embodiments, determining the hysteresis coefficient of all sensors in the qu room based on the diffusion coefficient of water molecules in each sensor when the humidity decreases, the expansion coefficient of the polymer material in each sensor when the humidity increases, and the duration of the water dew point in the qu room specifically includes:

[0025] Determine the current humidity change trend in the qu room;

[0026] If the current humidity change trend in the qu room is an upward trend, the hysteresis coefficients of all sensors in the qu room are determined according to the expansion coefficients of the polymer materials in all sensors when the humidity rises and the duration of the humidity rise;

[0027] If the current humidity change trend in the qu room is a downward trend, the hysteresis coefficients of all sensors in the qu room are determined according to the diffusion coefficients of water molecules in all sensors when the humidity decreases and the duration.

[0028] In some embodiments, generating a humidity adjustment instruction based on a comparison result between the determination value and a preset determination threshold specifically includes:

[0029] Obtain the standard humidity of koji fermentation in the koji room;

[0030] Determining a humidity control threshold according to the standard humidity;

[0031] comparing the determination value with the determination threshold, and generating a humidity adjustment instruction to increase the dehumidification power if the determination value is greater than the determination threshold;

[0032] If the determination value is less than the determination threshold, a humidity adjustment instruction for increasing the humidification power is generated;

[0033] If the determination value is equal to the determination threshold, a humidity adjustment instruction is generated without adjusting the power.

[0034] In some embodiments, the humidity adjustment instruction is an electrical signal instruction for controlling the humidification power and dehumidification power of the humidity adjustment device in the curved room.

[0035] In a second aspect, the present application provides an intelligent real-time control system for humidity in a qu room, the intelligent real-time control system for humidity in a qu room comprising:

[0036] The acquisition module is used to instruct all sensors in the qu room to collect humidity change information at different sampling points in real time;

[0037] a processing module, configured to decompose each humidity change information into a plurality of ascending segment data and a plurality of descending segment data according to a temporal dependency of each humidity change information;

[0038] The processing module is further configured to determine the diffusion coefficient of water molecules in each sensor when the humidity decreases based on all the rising segment data, and to determine the expansion coefficient of the polymer material in each sensor when the humidity increases based on all the falling segment data;

[0039] The processing module is further configured to obtain temperature change information in the koji room, and extract the duration of the water dew point in the koji room from the temperature change information;

[0040] The processing module is further configured to determine the hysteresis coefficient of all sensors in the qu room based on the diffusion coefficient of water molecules in each sensor when the humidity decreases, the expansion coefficient of the polymer material in each sensor when the humidity increases, and the duration of the water dew point in the qu room;

[0041] An execution module is used to use the hysteresis coefficient as a judgment value for humidity control, and then generate a humidity adjustment instruction based on a comparison result between the judgment value and a preset judgment threshold, and pre-regulate the humidity in the qu room based on the humidity adjustment instruction.

[0042] In a third aspect, the present application provides a computer device, comprising a memory and a processor, wherein the memory stores a code, and the processor is configured to obtain the code and execute the above-mentioned humidity control method.

[0043] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the humidity control method described above is implemented.

[0044] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects:

[0045] In the intelligent real-time control system and method for humidity in a qu room provided by the present application, first, humidity change information at different sampling points is collected in real time through all sensors in the qu room; each humidity change information is decomposed into multiple rising segment data and multiple falling segment data according to the time sequence dependency of each humidity change information; the diffusion coefficient of water molecules in each sensor when the humidity decreases is determined through all the rising segment data, and the expansion coefficient of the polymer material in each sensor when the humidity increases is determined based on all the falling segment data; the temperature change information in the qu room is obtained, and the duration of the water dew point in the qu room is extracted from the temperature change information; the hysteresis coefficient of all sensors in the qu room is determined based on the diffusion coefficient of water molecules in each sensor when the humidity decreases, the expansion coefficient of the polymer material in each sensor when the humidity increases, and the duration of the water dew point in the qu room; the hysteresis coefficient is used as a judgment value for humidity control, and then a humidity adjustment instruction is generated based on the comparison result of the judgment value and a preset judgment threshold, and the humidity in the qu room is pre-regulated based on the humidity adjustment instruction.

[0046] Thus, the present application collects humidity change information at different sampling points in the qu room, and separates the data segments of humidity increase from the data segments of humidity decrease in the humidity change information (i.e., rising segment data and falling segment data). Then, based on all the rising segment data, the diffusion rate (i.e., diffusion coefficient) of water molecules in the polymer material of each sensor when the external humidity decreases is determined. The slower the diffusion rate, the slower the sensor's indication changes when the external humidity decreases. Subsequently, based on all the falling segment data, the degree of expansion (i.e., expansion coefficient) caused by water molecules on the polymer material of each sensor when the external humidity increases is determined. The greater the expansion of the polymer material, the slower the sensor's indication changes when the external humidity increases. Finally, the degree of data deviation caused by the abnormal humidity stagnation of the sensor in the qu room (i.e., humidity stagnation coefficient) is determined by combining the diffusion coefficient, expansion coefficient, and temperature change information in the qu room. The humidity control strategy in the qu room is determined by the humidity stagnation coefficient (i.e., determining the judgment value). Finally, the working state of the humidity control device in the qu room is controlled by the judgment result, and the humidity in the qu room is pre-regulated. In summary, the present application can compensate for the humidity stagnation phenomenon of the sensor in the qu room. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is an exemplary flow chart of a humidity control method according to some embodiments of the present application;

[0048] Figure 2 is a schematic diagram of a humidity sensor according to some embodiments of the present application;

[0049] Figure 3 is an exemplary flow chart for decomposing humidity change information according to some embodiments of the present application;

[0050] Figure 4 This is a schematic diagram of the structure of an intelligent real-time control system for humidity in a curved room according to some embodiments of the present application;

[0051] Figure 5 It is a structural diagram of a computer device for implementing a humidity control method according to some embodiments of the present application. DETAILED DESCRIPTION

[0052] In order to better understand the technical solution of the present application, the technical solution of the present application will be described in detail below with reference to the accompanying drawings and specific implementation methods.

[0053] refer to Figure 1 , which is an exemplary flow chart of a humidity control method according to some embodiments of the present application. The humidity control method 100 mainly includes the following steps:

[0054] In step 101, humidity change information at different sampling points is collected in real time through all sensors in the koji room.

[0055] In specific implementation, starting the humidity control program in the qu room and initializing the parameter configuration of the humidity control program can be achieved in the following manner, namely: starting the main service of the humidity control program, loading the program core module, including the acquisition module, processing module and control module, and initializing the communication module, establishing communication connections between all sensors and humidity adjustment devices, and resetting the parameter configuration of the humidity control program to zero.

[0056] In specific implementation, controlling all sensors in the qu room to collect humidity change information at different sampling points in real time can be achieved in the following manner, namely: first, multiple sampling points are set in the qu room, and then the humidity value at each sampling point is collected by the humidity sensor according to a preset sampling interval, and then all humidity values at each sampling point are arranged in the order of sampling, and the obtained sequence is used as the humidity change information at each sampling point, wherein the sampling interval can be preset according to actual needs. For example, in this application, the sampling interval is preset to 1 minute, and the sampling points can be arbitrarily selected from ten locations in the qu room as sampling points according to needs.

[0057] It should be noted that the humidity sensor in this application is a capacitive humidity sensor, and the polymer material in the capacitive humidity sensor is polystyrene.

[0058] In some embodiments, reference Figure 2This figure is a schematic diagram of the principle of the humidity sensor shown in some embodiments of the present application, which is specifically explained as follows: when the concentration of external water molecules is higher than the concentration of water molecules inside the polymer material (that is, when the external humidity rises), the polymer material absorbs external water molecules. After the polymer material absorbs external water molecules, the overall capacitance of the polymer material changes, and then the external humidity change is measured through electrical signals; when the concentration of external water molecules is lower than the concentration of water molecules inside the polymer material (that is, when the external humidity decreases), the internal water molecules in the polymer material diffuse outward, the water molecules inside the polymer material decrease, the overall capacitance of the polymer material changes, and then the external humidity change is measured through electrical signals.

[0059] In step 102, each humidity change information is decomposed into a plurality of rising segment data and a plurality of falling segment data according to the temporal dependency of each humidity change information.

[0060] In some embodiments, reference Figure 3 This figure is an exemplary flow chart of decomposing humidity change information according to some embodiments of the present application. In the present application, decomposing each humidity change information into multiple ascending segment data and multiple descending segment data according to the timing dependency of each humidity change information can be implemented by the following steps, namely:

[0061] In step 1021, for each piece of humidity change information, determining the temporal dependency of different data segments in the humidity change information;

[0062] In step 1022, multiple inversion intervals of each humidity change information are determined according to all time sequence dependencies of each humidity change information;

[0063] In step 1023, each humidity change information is decomposed into a plurality of rising segment data and a plurality of falling segment data according to the reversal interval of each humidity change information.

[0064] In specific implementation, determining the temporal dependency of different data segments in each humidity change information can be achieved in the following manner, namely: first, presetting a sliding window, then intercepting a data segment of length n from each humidity change information through the sliding window, and then calculating the Hurst index of the data segment, and finally intercepting other data segments of length n from each humidity change information through the sliding window, calculating the Hurst index of each data segment, and using the Hurst index of each data segment as a characterization of the temporal dependency of each data segment, until all data segments in each humidity change information are intercepted once, and finally obtaining a characterization of the temporal dependency of different data segments in each humidity change information, wherein n is the size of the sliding window, and the size of the sliding window can be preset according to the length of the humidity change information. For example, in this application, the size of the sliding window can be preset to one twentieth of the length of the humidity change information.

[0065] It should be noted that the timing dependency in this application is a parameter that measures the degree of correlation between humidity values in humidity change information over a period of time. The larger the characterization value of the timing dependency, the more correlated the humidity values in the humidity change information over a period of time. The smaller the characterization value of the timing dependency, the less correlated the humidity values in the humidity change information over a period of time.

[0066] In specific implementation, the following method can be used to determine the multiple inversion intervals of each humidity change information based on all the timing dependencies of each humidity change information, namely: for each humidity change information, all data segments in which the representation value of the timing dependency of each humidity change information is less than 0.5 are used as the inversion intervals of each humidity change information.

[0067] It should be noted that the reversal interval in this application refers to the time period when the humidity change trend in the curved room is reversed, wherein the reversal of the humidity change trend refers to the process from increasing humidity to decreasing humidity or from decreasing humidity to increasing humidity.

[0068] In a specific implementation, decomposing each humidity change information into a plurality of ascending segment data and a plurality of descending segment data according to the reversal interval of each humidity change information can be implemented in the following manner, namely: first, selecting a humidity change information as the selected humidity change information, and decomposing the selected humidity change information into a plurality of subsequences by using all the reversal intervals in the selected humidity change information, and then using the Mann-Kendall method in the prior art to determine whether the first subsequence in the selected humidity change information is an ascending trend or a descending trend, if it is an ascending trend, then the subsequence is used as the ascending segment data, and if it is a descending trend, then the subsequence is used as the descending segment data, and then the second subsequence is decomposed into a plurality of subsequences. The columns are taken as data opposite to the first subsequence (that is, if the first subsequence is rising segment data, the second subsequence is falling segment data; if the first subsequence is falling segment data, the second subsequence is rising segment data), and judgment is made in sequence until the last subsequence, to obtain multiple rising segment data and multiple falling segment data of the selected humidity change information, and continue to determine multiple rising segment data and multiple falling segment data of the remaining humidity change information, wherein decomposing the selected humidity change information into multiple subsequences by selecting all inversion intervals in the humidity change information means removing the inversion intervals in the selected humidity change information, and then taking the remaining continuous data segments as subsequences.

[0069] It should be noted that, in this application, rising segment data refers to a data segment in which the overall trend of humidity change is increasing, and falling segment data refers to a data segment in which the overall trend of humidity change is decreasing.

[0070] In step 103, the diffusion coefficient of water molecules in each sensor when the humidity decreases is determined based on all the rising segment data, and the expansion coefficient of the polymer material in each sensor when the humidity increases is determined based on all the falling segment data.

[0071] In some embodiments, determining the diffusion coefficient of water molecules in each sensor when the humidity decreases based on all rising segment data can be achieved by using the following steps, namely:

[0072] Selecting a sensor as a selected sensor, and determining a plurality of response delay coefficients for each rising segment data of the selected sensor;

[0073] determining a rising response delay of each rising segment data according to all response delay coefficients of each rising segment data;

[0074] Determine the diffusion coefficient of water molecules in the selected sensor when the humidity decreases based on all rising response delays;

[0075] Continue to determine the diffusion coefficient of the water molecules remaining in the sensor as the humidity decreases.

[0076] In specific implementation, determining multiple response delay coefficients of each rising segment data can be achieved in the following manner, namely: select a rising segment data as the selected rising segment data, first, calculate the average value and variance of the selected rising segment data, then calculate the difference between each humidity value in the selected rising segment data and the average value, multiply the i-th difference by the i+a-th difference (i is all integers between 1 and L), and add all products obtained by traversing the i value (a value remains unchanged), and then divide the obtained sum by the variance to obtain the quotient as the a-th response delay coefficient, wherein a is all integers between 1 and L, and wherein L is the length of the selected rising segment data. It should be noted that each humidity value in each rising segment data in this application corresponds to a response delay coefficient.

[0077] It should be noted that the response delay coefficient in this application is a parameter value of the probability that the change in the humidity sensor indication at a moment is a delayed response. The delayed response means that there is a delay in the change in the humidity sensor indication to the change in the humidity in the room. The smaller the response delay coefficient, the greater the probability that the change in the humidity sensor indication at that moment is a delayed response. The larger the response delay coefficient, the greater the probability that the change in the humidity sensor indication at that moment is a delayed response.

[0078] In specific implementation, determining the rising response delay of each rising segment data based on all response delay coefficients of each rising segment data can be achieved in the following manner, namely: selecting a rising segment data as the selected rising segment data, first, arranging all the response delay coefficients of the selected rising segment data in order of the corresponding humidity values, and then comparing all the arranged response delay coefficients with the preset correlation threshold in turn, and taking the number of all response delay coefficients before the response delay coefficient that is less than the correlation threshold for the first time as the rising response delay of the selected rising segment data, wherein the correlation threshold can be preset to a smaller value greater than zero, for example, in the present application, the correlation threshold is preset to 0.1.

[0079] It should be noted that the rising response delay in this application is a parameter value that measures the degree of delay in the response of the rising change of the humidity sensor indication to the change of humidity in the curved room. The larger the rising response delay, the more delayed the response of the rising change of the humidity sensor indication to the change of humidity in the curved room. The smaller the rising response delay, the less delayed the response of the rising change of the humidity sensor indication to the change of humidity in the curved room.

[0080] In a specific implementation, determining the diffusion coefficient of water molecules in the selected sensor when the humidity decreases based on all rising response delays can be achieved in the following manner: first, calculating the average value of all rising response delays, then calculating the reciprocal of the average value, and finally, using the obtained reciprocal as the diffusion coefficient of water molecules in the selected sensor when the humidity decreases.

[0081] It should be noted that the diffusion coefficient in this application is a parameter value that measures the diffusion rate of water molecules in the polymer material of the sensor. The larger the diffusion coefficient, the faster the water molecules in the polymer material of the sensor diffuse, that is, when the external humidity decreases, the easier it is for the water molecules in the polymer material in the sensor to be lost. The smaller the diffusion coefficient, the slower the water molecules in the polymer material of the sensor diffuse, that is, when the external humidity decreases, the less likely it is for the water molecules in the polymer material in the sensor to be lost.

[0082] In some embodiments, determining the expansion coefficient of the polymer material in each sensor when the humidity rises based on all the data of the descending section can be achieved by the following steps, namely:

[0083] Selecting a sensor as a selected sensor, and determining a plurality of response delay coefficients for each descending segment of data of the selected sensor;

[0084] determining a descending response delay of each descending segment data according to all response delay coefficients of each descending segment data;

[0085] Determine the expansion coefficient of the polymer material in the selected sensor when the humidity rises based on all the descending response delays;

[0086] The expansion coefficient of the polymer material in the remaining sensor is determined when the humidity increases.

[0087] In specific implementation, determining multiple response delay coefficients of each descending segment data can be achieved in the following manner, namely: selecting a descending segment data as the selected descending segment data, first, calculating the average value and variance of the selected descending segment data, then calculating the difference between each humidity value in the selected descending segment data and the average value, multiplying the kth difference by the k+bth difference (k is all integers between 1 and M), and adding all products obtained by traversing the k value (b value remains unchanged), and then dividing the obtained sum by the variance to obtain the quotient as the bth response delay coefficient, wherein b is all integers between 1 and M, and wherein M is the length of the selected descending segment data. It should be noted that in this application, each humidity value in each descending segment data corresponds to a response delay coefficient.

[0088] It should be noted that the response delay coefficient in this application is a parameter that represents the response delay of the humidity value change in a data segment to the external humidity change. The smaller the response delay coefficient, the weaker the correlation of the humidity value change in the data segment, and the humidity value corresponding to the response delay coefficient is more likely to be the humidity value collected when the sensor responds to the external humidity change with a delay.

[0089] In a specific implementation, determining the descending response delay of each descending segment data based on all the response delay coefficients of each descending segment data can be achieved in the following manner, namely: selecting a descending segment data as the selected descending segment data, first, arranging all the response delay coefficients of the selected descending segment data in order of the corresponding humidity values, and then, comparing all the arranged response delay coefficients with the preset correlation threshold in turn, and taking the number of all response delay coefficients before the response delay coefficient that is first less than the correlation threshold as the descending response delay of the selected descending segment data, wherein the correlation threshold can be preset to a smaller value greater than zero, for example, in the present application, the correlation threshold is preset to 0.1.

[0090] It should be noted that the downward response delay in this application is a parameter value that measures the degree of delay in the response of the downward change of the humidity sensor indication to the change of humidity in the curved room. The larger the downward response delay, the more delayed the response of the downward change of the humidity sensor indication to the change of humidity in the curved room. The smaller the downward response delay, the less delayed the response of the downward change of the humidity sensor indication to the change of humidity in the curved room.

[0091] In a specific implementation, determining the expansion coefficient of the polymer material in the selected sensor when the humidity rises based on all the falling response delays can be achieved in the following manner: first, calculating the average value of all the falling response delays, then calculating the reciprocal of the average value, and finally, using the obtained reciprocal as the expansion coefficient of the polymer material in the selected sensor when the humidity rises.

[0092] It should be noted that the expansion coefficient in this application is a parameter value that measures the degree of expansion caused by water molecules to the polymer material in the sensor. The larger the expansion coefficient, the greater the degree of expansion caused by water molecules to the polymer material in the sensor, that is, when the external humidity rises, the more serious the absorption and expansion of the polymer material in the sensor, and the more difficult it is to lose water thereafter. The smaller the expansion coefficient, the smaller the degree of expansion caused by water molecules to the polymer material in the sensor, that is, when the external humidity rises, the less severe the absorption and expansion of the polymer material in the sensor, and the easier it is to lose water thereafter.

[0093] In step 104, the temperature change information in the koji room is obtained, and the duration of the water dew point in the koji room is extracted from the temperature change information.

[0094] In specific implementation, the temperature change information in the qu room can be obtained in the following manner, namely: the temperature value in the qu room is collected by a temperature sensor according to a preset sampling interval, and then all temperature values are arranged in the order of sampling, and the obtained sequence is used as the temperature change information in the qu room, wherein the sampling interval is the same as the sampling interval in the step of real-time collection of humidity change information at different sampling points in the qu room.

[0095] In some embodiments, the duration of the water dew point in the koji room can be extracted from the temperature change information by using the following steps, namely:

[0096] Determine the water dew point sequence based on all humidity change information;

[0097] The duration of the water dew point in the qu room is determined according to the water dew point sequence and the temperature change information.

[0098] In specific implementation, the water dew point sequence can be determined based on all humidity change information in the following manner: first, the average sequence of all humidity change information is calculated, and then the dew point temperature is directly calculated using the dry-bulb temperature and relative humidity according to the formula mentioned in the "Comparative Study of Dew Point Temperature Calculation Methods". The specific calculation process is to use each value in the average sequence as the relative humidity, and each temperature value in the temperature change information as the dry-bulb temperature, and calculate the dew point temperature at each moment using this formula. Then, all dew point temperatures are arranged in chronological order, and the resulting sequence is used as the water dew point sequence.

[0099] It should be noted that the water dew point sequence in this application is a sequence that describes the change of the dew point temperature in the quenching room over time.

[0100] In specific implementation, determining the duration of the water dew point in the qu room based on the water dew point sequence and the temperature change information can be achieved in the following manner: first, subtracting the water dew point sequence from the temperature change information, and then inputting the obtained sequence into the sign function; then, counting the length of consecutive non-one data in the output sequence; for example, the output sequence is (1, 0, 0, -1, 1, -1, 0, 1), where (0, 0, -1) and (-1, 0) are consecutive non-one data segments, and the data lengths are 3 and 2, respectively; finally, the maximum data length is taken as the duration of the water dew point in the qu room.

[0101] It should be noted that the duration in this application refers to the longest period of time during which the temperature in the koji room is not higher than the dew point temperature of water.

[0102] In step 105, the hysteresis coefficients of all sensors in the qu room are determined based on the diffusion coefficient of water molecules in each sensor when the humidity decreases, the expansion coefficient of the polymer material in each sensor when the humidity increases, and the duration of the water dew point in the qu room.

[0103] In some embodiments, the hysteresis coefficients of all sensors in the qu room can be determined based on the diffusion coefficient of water molecules in each sensor when the humidity decreases, the expansion coefficient of the polymer material in each sensor when the humidity increases, and the duration of the water dew point in the qu room by using the following steps, namely:

[0104] Determine the current humidity change trend in the qu room;

[0105] If the current humidity change trend in the qu room is an upward trend, the hysteresis coefficients of all sensors in the qu room are determined according to the expansion coefficients of the polymer materials in all sensors when the humidity rises and the duration of the humidity rise;

[0106] If the current humidity change trend in the qu room is a downward trend, the hysteresis coefficients of all sensors in the qu room are determined according to the diffusion coefficients of water molecules in all sensors when the humidity decreases and the duration.

[0107] It should be noted that the humidity change trend in this application includes an upward trend and a downward trend.

[0108] In specific implementation, the following method can be used to determine the humidity change trend in the current curved room, namely: first, arbitrarily select a sensor as the selected sensor, obtain all rising segment data, all falling segment data and all reversal intervals of the selected sensor, and then determine whether the last humidity value in the humidity change information of the selected sensor is in the rising segment data, falling segment data or reversal interval. If the last humidity value in the humidity change information is in the rising segment data, the humidity in the current curved room is on an upward trend. If the last humidity value in the humidity change information is in the falling segment data, the humidity in the current curved room is on a downward trend. If the last humidity value in the humidity change information is in the reversal interval, determine whether the reversal interval is preceded by rising segment data or falling segment data. If the reversal interval is preceded by rising segment data, the humidity in the current curved room is on a downward trend. If the reversal interval is preceded by falling segment data, the humidity in the current curved room is on an upward trend.

[0109] In specific implementation, the hysteresis coefficients of all sensors in the curved room can be determined based on the expansion coefficients of the polymer materials in all sensors when the humidity rises and the duration period, which can be achieved in the following manner: first, select a sensor as the selected sensor, then calculate the inverse t of the expansion coefficient of the selected sensor, and then perform linear least squares fitting on the last t+e humidity values in the humidity change information of the selected sensor to obtain the fitting equation of the selected sensor, continue to determine the fitting equations of the remaining sensors, average the coefficients of the independent variables in all fitting equations, and finally, use the obtained average value as the hysteresis coefficient of all sensors in the curved room, wherein e is the duration period of the water dew point in the curved room.

[0110] In specific implementation, the hysteresis coefficients of all sensors in the curved room can be determined based on the diffusion coefficients of water molecules in all sensors when the humidity drops and the duration period, which can be achieved in the following manner: first, select a sensor as the selected sensor, then calculate the inverse s of the diffusion coefficient of the selected sensor, and then perform linear least squares fitting on the last s+e humidity values in the humidity change information of the selected sensor to obtain the fitting equation of the selected sensor, continue to determine the fitting equations of the remaining sensors, average the coefficients of the independent variables in all fitting equations, and finally, use the obtained average value as the hysteresis coefficient of all sensors in the curved room, wherein e is the duration period of the water dew point in the curved room.

[0111] It should be noted that the hysteresis coefficient in this application is a parameter that indicates the degree of lag in the response of the indication change of the sensor in the curved room to the humidity change. The larger the absolute value of the hysteresis coefficient, the less lag in the response of the indication change of the sensor in the curved room to the humidity change. The smaller the absolute value of the hysteresis coefficient, the more lag in the response of the indication change of the sensor in the curved room to the humidity change.

[0112] In step 106, the hysteresis coefficient is used as a judgment value for humidity control, and a humidity adjustment instruction is generated based on a comparison result between the judgment value and a preset judgment threshold, and the humidity in the qu room is pre-controlled based on the humidity adjustment instruction.

[0113] In some embodiments, the humidity adjustment instruction may be generated according to the comparison result between the determination value and the preset determination threshold by the following steps:

[0114] Obtain the standard humidity of koji fermentation in the koji room;

[0115] Determining a humidity control threshold according to the standard humidity;

[0116] comparing the determination value with the determination threshold, and generating a humidity adjustment instruction to increase the dehumidification power if the determination value is greater than the determination threshold;

[0117] If the determination value is less than the determination threshold, a humidity adjustment instruction for increasing the humidification power is generated;

[0118] If the determination value is equal to the determination threshold, a humidity adjustment instruction is generated without adjusting the power.

[0119] It should be noted that the standard humidity in this application is a preset humidity based on the specific requirements of koji fermentation in the koji room. For example, the standard humidity is preset to 80% RH in this application.

[0120] In specific implementation, the determination threshold of humidity control based on the standard humidity can be achieved in the following manner, namely: first, the average value of the last humidity value in all humidity change information is calculated, then, the sampling interval when collecting the humidity change information in the curved room is obtained, and then, the standard humidity is subtracted from the average value and divided by the sampling interval. Finally, the obtained value is used as the determination threshold of humidity control.

[0121] It should be noted that the determination threshold in this application refers to a threshold value used to determine the control strategy of the humidity adjustment device.

[0122] In addition, it should be noted that the humidity adjustment instruction in this application refers to the electrical signal instruction used to control the humidification power and dehumidification power of the humidity adjustment device in the curved room.

[0123] In specific implementation, the pre-control of the humidity in the Qu room based on the humidity adjustment instruction can be achieved in the following way, namely: the humidity adjustment instruction is sent to the humidity adjustment device in the Qu room. If the humidity adjustment instruction is to increase the humidification power, the humidification power of the humidity adjustment device is increased by 250W, and the dehumidification power is reduced by 250W. If the humidity adjustment instruction is to increase the dehumidification power, the dehumidification power of the humidity adjustment device is increased by 200W, and the humidification power is reduced by 250W. If the humidity adjustment instruction is not to adjust the power, the power of the humidity adjustment device is not adjusted.

[0124] It should be noted that the humidity control device in the present application is a controllable industrial production device that integrates humidification and dehumidification functions.

[0125] In addition, in another aspect of the present application, in some embodiments, the present application provides a qu room humidity intelligent real-time control system, referring to Figure 4 This figure is a schematic diagram of the structure of a qu room humidity intelligent real-time control system according to some embodiments of the present application. The qu room humidity intelligent real-time control system 400 includes: a collection module 401, a processing module 402 and an execution module 403, which are described as follows:

[0126] The acquisition module 401 in this application is mainly used to instruct all sensors in the qu room to collect humidity change information at different sampling points in real time;

[0127] Processing module 402, in this application, the processing module 402 is mainly used to decompose each humidity change information into a plurality of rising segment data and a plurality of falling segment data according to the time sequence dependency of each humidity change information;

[0128] It should be noted that the processing module 402 in the present application is also used to determine the diffusion coefficient of water molecules in each sensor when the humidity decreases based on all the rising segment data, and to determine the expansion coefficient of the polymer material in each sensor when the humidity increases based on all the falling segment data;

[0129] It should be noted that the processing module 402 in this application is also used to obtain temperature change information in the koji room, and extract the duration of the water dew point in the koji room from the temperature change information;

[0130] It should be noted that the processing module 402 in the present application is further configured to determine the hysteresis coefficient of all sensors in the qu room based on the diffusion coefficient of water molecules in each sensor when the humidity decreases, the expansion coefficient of the polymer material in each sensor when the humidity increases, and the duration of the water dew point in the qu room;

[0131] Execution module 403, in this application, execution module 403 is mainly used to use the hysteresis coefficient as the determination value of humidity control, and then generate a humidity adjustment instruction based on the comparison result of the determination value and the preset determination threshold, and pre-regulate the humidity in the qu room based on the humidity adjustment instruction

[0132] In addition, the present application also provides a computer device, which includes a memory and a processor, wherein the memory stores a code, and the processor is configured to obtain the code and execute the above-mentioned humidity control method.

[0133] In some embodiments, reference Figure 5 , which is a schematic diagram of the structure of a computer device for implementing a humidity control method according to some embodiments of the present application. The humidity control method in the above embodiment can be Figure 5 The computer device 500 shown in FIG. 5 is implemented as shown in FIG. 5 . The computer device 500 includes at least one processor 501 , a communication bus 502 , a memory 503 , and at least one communication interface 504 .

[0134] The processor 501 may be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0135] The communication bus 502 may be used to transmit information between the aforementioned components.

[0136] The memory 503 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, a random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CDROM) or other optical disc storage, an optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto. The memory 503 may be independent and connected to the processor 501 via the communication bus 502. The memory 503 may also be integrated with the processor 501.

[0137] Memory 503 is used to store program code for executing the present invention, and is controlled by processor 501 for execution. Processor 501 is used to execute the program code stored in memory 503. The program code may include one or more software modules. The humidity control method in the above embodiment can be implemented by processor 501 and one or more software modules in the program code stored in memory 503.

[0138] The communication interface 504 uses any device such as a transceiver to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area network (WLAN), etc.

[0139] In a specific implementation, as an example, a computer device may include multiple processors, each of which may be a single-core (singleCPU) processor or a multi-core (multiCPU) processor. The processor herein may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0140] The aforementioned computer device can be a general-purpose computer device or a dedicated computer device. In a specific implementation, the computer device can be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. The embodiments of this application do not limit the type of computer device.

[0141] In addition, the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the above-mentioned humidity control method is implemented.

[0142] In summary, in the intelligent real-time control system and method for humidity in a qu room disclosed in the embodiment of the present application, first, humidity change information at different sampling points is collected in real time through all sensors in the qu room; each humidity change information is decomposed into multiple rising segment data and multiple falling segment data according to the time sequence dependency of each humidity change information; the diffusion coefficient of water molecules in each sensor when the humidity decreases is determined through all the rising segment data, and the expansion coefficient of the polymer material in each sensor when the humidity increases is determined according to all the falling segment data; the temperature change information in the qu room is obtained, and the duration of the water dew point in the qu room is extracted from the temperature change information; the hysteresis coefficient of all sensors in the qu room is determined based on the diffusion coefficient of water molecules in each sensor when the humidity decreases, the expansion coefficient of the polymer material in each sensor when the humidity increases, and the duration of the water dew point in the qu room; the hysteresis coefficient is used as the judgment value for humidity control, and then a humidity adjustment instruction is generated according to the comparison result of the judgment value and the preset judgment threshold, and the humidity in the qu room is pre-regulated based on the humidity adjustment instruction.

[0143] Thus, the present application collects humidity change information at different sampling points in the qu room, and separates the data segments of humidity increase from the data segments of humidity decrease in the humidity change information (i.e., rising segment data and falling segment data). Then, based on all the rising segment data, the diffusion rate (i.e., diffusion coefficient) of water molecules in the polymer material of each sensor when the external humidity decreases is determined. The slower the diffusion rate, the slower the sensor's indication changes when the external humidity decreases. Subsequently, based on all the falling segment data, the degree of expansion (i.e., expansion coefficient) caused by water molecules on the polymer material of each sensor when the external humidity increases is determined. The greater the expansion of the polymer material, the slower the sensor's indication changes when the external humidity increases. Finally, the degree of data deviation caused by the abnormal humidity stagnation of the sensor in the qu room (i.e., humidity stagnation coefficient) is determined by combining the diffusion coefficient, expansion coefficient, and temperature change information in the qu room. The humidity control strategy in the qu room is determined by the humidity stagnation coefficient (i.e., determining the judgment value). Finally, the working state of the humidity control device in the qu room is controlled by the judgment result, and the humidity in the qu room is pre-regulated. In summary, the present application can compensate for the humidity stagnation phenomenon of the sensor in the qu room.

[0144] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0145] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. A humidity control method, characterized in that: include: All sensors in the room collect humidity change information at different sampling points in real time; Decomposing each humidity change information into a plurality of rising segment data and a plurality of falling segment data according to a temporal dependency of each humidity change information; The diffusion coefficient of water molecules in each sensor when the humidity decreases is determined based on all the rising segment data, and the expansion coefficient of the polymer material in each sensor when the humidity increases is determined based on all the falling segment data; Acquiring temperature change information in the koji room, and extracting the duration of the water dew point in the koji room from the temperature change information; Determining the hysteresis coefficient of all sensors in the qu room based on the diffusion coefficient of water molecules in each sensor when the humidity decreases, the expansion coefficient of the polymer material in each sensor when the humidity increases, and the duration of the water dew point in the qu room; The hysteresis coefficient is used as a judgment value for humidity control, and a humidity adjustment instruction is generated based on a comparison result between the judgment value and a preset judgment threshold, and the humidity in the qu room is pre-controlled based on the humidity adjustment instruction.

2. The method according to claim 1, wherein Decomposing each humidity change information into a plurality of ascending segment data and a plurality of descending segment data according to the temporal dependency of each humidity change information specifically includes: For each piece of humidity change information, determining the temporal dependency of different data segments in the each piece of humidity change information; determining a plurality of inversion intervals of each humidity change information according to all time sequence dependencies of each humidity change information; Each humidity change information is decomposed into a plurality of rising segment data and a plurality of falling segment data according to an inversion interval of each humidity change information.

3. The method according to claim 1, wherein The diffusion coefficient of water molecules in each sensor when the humidity drops is determined by all the rising segment data, specifically including: Selecting a sensor as a selected sensor, and determining a plurality of response delay coefficients for each rising segment data of the selected sensor; determining a rising response delay of each rising segment data according to all response delay coefficients of each rising segment data; Determine the diffusion coefficient of water molecules in the selected sensor when the humidity decreases based on all rising response delays; Continue to determine the diffusion coefficient of the water molecules remaining in the sensor as the humidity decreases.

4. The method according to claim 1, wherein The duration of the water dew point in the koji room is extracted from the temperature change information and specifically includes: Determine the water dew point sequence based on all humidity change information; The duration of the water dew point in the qu room is determined according to the water dew point sequence and the temperature change information.

5. The method according to claim 1, wherein Determining the hysteresis coefficients of all sensors in the qu room based on the diffusion coefficient of water molecules in each sensor when the humidity decreases, the expansion coefficient of the polymer material in each sensor when the humidity increases, and the duration of the water dew point in the qu room specifically includes: Determine the current humidity change trend in the qu room; If the current humidity change trend in the qu room is an upward trend, the hysteresis coefficients of all sensors in the qu room are determined according to the expansion coefficients of the polymer materials in all sensors when the humidity rises and the duration of the humidity rise; If the current humidity change trend in the qu room is a downward trend, the hysteresis coefficients of all sensors in the qu room are determined according to the diffusion coefficients of water molecules in all sensors when the humidity decreases and the duration.

6. The method according to claim 1, wherein Generating a humidity adjustment instruction according to a comparison result between the determination value and a preset determination threshold specifically includes: Obtain the standard humidity of koji fermentation in the koji room; Determining a humidity control threshold according to the standard humidity; comparing the determination value with the determination threshold, and generating a humidity adjustment instruction to increase the dehumidification power if the determination value is greater than the determination threshold; If the determination value is less than the determination threshold, a humidity adjustment instruction for increasing the humidification power is generated; If the determination value is equal to the determination threshold, a humidity adjustment instruction is generated without adjusting the power.

7. The method according to claim 1, wherein The humidity adjustment instruction is an electrical signal instruction for controlling the humidification power and dehumidification power of the humidity adjustment device in the curved room.

8. An intelligent real-time control system for humidity in a qu room, characterized in that: The intelligent real-time control system for humidity in the curved room includes: The acquisition module is used to instruct all sensors in the qu room to collect humidity change information at different sampling points in real time; a processing module, configured to decompose each humidity change information into a plurality of ascending segment data and a plurality of descending segment data according to a temporal dependency of each humidity change information; The processing module is further configured to determine the diffusion coefficient of water molecules in each sensor when the humidity decreases based on all the rising segment data, and to determine the expansion coefficient of the polymer material in each sensor when the humidity increases based on all the falling segment data; The processing module is further configured to obtain temperature change information in the koji room, and extract the duration of the water dew point in the koji room from the temperature change information; The processing module is further configured to determine the hysteresis coefficient of all sensors in the qu room based on the diffusion coefficient of water molecules in each sensor when the humidity decreases, the expansion coefficient of the polymer material in each sensor when the humidity increases, and the duration of the water dew point in the qu room; An execution module is used to use the hysteresis coefficient as a judgment value for humidity control, and then generate a humidity adjustment instruction based on a comparison result between the judgment value and a preset judgment threshold, and pre-regulate the humidity in the qu room based on the humidity adjustment instruction.

9. A computer device, characterized in that: The computer device includes a memory and a processor, wherein the memory stores codes, and the processor is configured to obtain the codes and execute the humidity control method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the humidity control method according to any one of claims 1 to 7 is implemented.

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