System and method for monitoring pickling environment of pickled vegetables

Abstract

The invention discloses a system and method for monitoring the pickling environment of pickles, the system comprises a monitoring center and a plurality of monitoring terminals, and each monitoring terminal correspondingly monitors the pickling environment of a pickle jar; the monitoring terminal comprises a microprocessor as well as a temperature sensor, a pH value sensor, a turbidity sensor and a mould sensor which are connected with the microprocessor, the microprocessor is arranged outside the jar body, and the temperature sensor, the pH value sensor, the turbidity sensor and the mould sensor are all arranged in the jar body; the monitoring center comprises a central controller, and the microprocessors of the plurality of monitoring terminals achieve information interaction with the central controller through communication modules. According to the invention, the central controller obtains the health state evaluation coefficient according to the data monitored by the sensor or generates the warning information to be fed back to the user, so that the pickle pickling environment can be comprehensively monitored, and the pickling state can be visually fed back to the user.

Description

Technical Field

[0001] The invention relates to a kimchi pickling technology, in particular to a system and method for monitoring a kimchi pickling environment. Background Art

[0002] Kimchi is a pickled product made by pickling various vegetables with low-concentration salt water and fermenting them with lactic acid bacteria. Kimchi can be made into a variety of dishes and is loved by people for its sour, spicy and crisp taste. The main production tool of kimchi is the kimchi jar, which includes a jar body, a jar edge and a jar cover. The jar body and the jar edge are integrally formed, and the jar cover is buckled in the jar edge. When pickling kimchi, clean water needs to be added to the jar edge for water sealing. Kimchi mainly relies on the fermentation of lactic acid bacteria to produce a large amount of lactic acid. As a decomposer, lactic acid bacteria will breathe and produce carbon dioxide. As the carbon dioxide in the jar increases, the air pressure in the jar increases, which will push the jar cover open. Carbon dioxide overflows from the buckle between the jar cover and the jar edge, which will cause bubbling at the jar cover. When bubbling, the clean water in the jar edge will enter the jar body, which will cause the kimchi in the jar body to bloom or even rot, and then lead to the failure of kimchi pickling.

[0003] In order to improve the pickled kimchi product rate, people have not only done a lot of research on the kimchi fermentation process, but also proposed some solutions for monitoring the kimchi pickling environment, such as the invention patent application named "A kimchi pickling monitoring system" published by China Patent Publication No. CN116380173A on July 4, 2023, which includes a data acquisition subsystem and a data release subsystem; the data acquisition subsystem includes a temperature acquisition module, a pH value acquisition module, a salinity acquisition module, and a processor, and the temperature acquisition module, the pH value acquisition module, and the salinity acquisition module are electrically connected to the processor respectively, and the data release subsystem includes a cloud server, and the processor is connected to the cloud server in communication. When it is used, it can instantly observe the changes in various values ​​during the pickling of kimchi, so that the producer can understand the development of kimchi based on the data, which can improve the efficiency of kimchi pickling and ensure food safety. The monitoring system disclosed in the above patent document is similar to many existing kimchi monitoring systems, and directly feeds back the monitoring data to the user, which is not convenient for the user to intuitively view the pickling status. Summary of the invention

[0004] The purpose of the present invention is to solve the problem that the existing kimchi monitoring system is not convenient for users to intuitively view the pickling status. A system and method for monitoring the kimchi pickling environment are provided. When used, the system and method can comprehensively monitor the kimchi pickling environment and can intuitively feedback the pickling status to the user.

[0005] The purpose of the present invention is mainly achieved through the following technical solutions:

[0006] A system for monitoring a kimchi pickling environment comprises a monitoring center and a plurality of monitoring terminals, wherein each monitoring terminal monitors a pickling environment of a kimchi jar; the monitoring terminal comprises a microprocessor and a temperature sensor, a pH value sensor, a turbidity sensor, and a mold sensor connected to the microprocessor, the microprocessor is arranged outside the jar, and the temperature sensor, the pH value sensor, the turbidity sensor, and the mold sensor are all arranged inside the jar; the monitoring center comprises a central controller, and the microprocessors of the plurality of monitoring terminals realize information exchange with the central controller through a communication module; wherein:

[0007] A temperature sensor is used to collect the ambient temperature of the area above the brine in the jar body at a set time interval and send the collected data to the microprocessor;

[0008] A pH sensor is used to collect the pH value of the brine in the altar at a set time interval and send the collected data to the microprocessor;

[0009] A turbidity sensor is used to collect the turbidity of the salt water in the jar at set time intervals and send the collected data to the microprocessor;

[0010] A mold sensor is used to collect mold values ​​in the salt water in the jar body at set time intervals and send the collected data to a microprocessor;

[0011] A microprocessor is used to receive the data collected by each sensor and send it to the central controller after processing;

[0012] The central controller is used to receive the sensor collection data sent by the microprocessor, and determine whether the sensor collection data is within the parameter threshold range set for the corresponding sensor. If all the sensor collection data of the same monitoring terminal are within the set parameter threshold range, then all the sensor collection data of the same monitoring terminal are multiplied by the set weight to obtain the collection data score of each sensor in the monitoring terminal, and then all the sensor collection data scores of the same monitoring terminal are added together to obtain the evaluation score of the pickling environment of the kimchi jar monitored by the monitoring terminal, and then the evaluation score is subtracted from the central value of the preset health status evaluation line to obtain the absolute value, and then divided by the length of the preset health status evaluation line to obtain the health status evaluation coefficient and feedback to the user; if any sensor collection data of the same monitoring terminal is not within the set parameter threshold range, a warning message is generated and fed back to the user.

[0013] Furthermore, the monitoring terminal also includes a display screen arranged outside the altar and connected to the microprocessor. The microprocessor receives the parameters collected by each sensor and sends them to the display screen after processing. The display screen is used to display the parameters collected by each sensor after processing by the microprocessor.

[0014] Furthermore, the monitoring terminal also includes an alarm device arranged outside the altar and connected to the microprocessor. The microprocessor is also used to control the alarm device to issue an alarm when the parameters collected by each sensor are abnormal. The alarm device is used to receive the control signal sent by the microprocessor and issue an alarm; the central controller is also used to set and adjust the comparison threshold value for the alarm issued by each sensor in each monitoring terminal.

[0015] Furthermore, the monitoring terminal also includes a water volume sensor arranged outside the altar body and connected to the microprocessor, the water volume sensor is used to collect the water volume of the salt edge at a set time interval and send the collected data to the microprocessor, the microprocessor is used to receive the data collected by the water volume sensor and send it to the central controller after processing, and the central controller is used to generate a warning message and feedback to the user when the water volume data of the salt edge collected by the water volume sensor is lower than the set water volume parameter threshold.

[0016] Furthermore, the monitoring terminal also includes an air pressure sensor arranged in the altar body and connected to the microprocessor, and an exhaust valve arranged on the altar body and connected to the microprocessor. The air pressure sensor is used to collect the air pressure value in the altar body at a set time interval and send it to the microprocessor. The microprocessor is used to receive the air pressure data collected by the air pressure sensor and process it, and then compare it with the preset altar pressure threshold. If the collected air pressure data is greater than the altar pressure threshold, a control instruction is generated to control the exhaust valve to open. The exhaust valve receives the control instruction sent by the microprocessor and opens to expel the gas in the altar body.

[0017] The monitoring method of the system for monitoring the kimchi pickling environment described above comprises the following steps:

[0018] Step S1, the temperature sensor collects the ambient temperature of the area above the salt water in the jar body at a set time interval, the pH sensor collects the pH value of the salt water in the jar body at a set time interval, the turbidity sensor collects the turbidity of the salt water in the jar body at a set time interval, and the mold sensor collects the mold value of the salt water in the jar body at a set time interval, and sends the collected data to the microprocessor;

[0019] Step S2: The microprocessor receives the data collected by each sensor and sends it to the central controller after processing;

[0020] Step S3, the central controller receives the sensor acquisition data sent by the microprocessor, and determines whether the sensor acquisition data is within the parameter threshold range set for the corresponding sensor. If all the sensor acquisition data of the same monitoring terminal are within the set parameter threshold range, then all the sensor acquisition data of the same monitoring terminal are multiplied by the set weight to obtain the acquisition data score of each sensor in the monitoring terminal, and then all the sensor acquisition data scores of the same monitoring terminal are added together to obtain the evaluation score of the pickling environment of the kimchi jar monitored by the monitoring terminal, and then the evaluation score is subtracted from the center value of the preset health status assessment line to obtain the absolute value, and then divided by the length of the preset health status assessment line to obtain the health status assessment coefficient and feedback to the user; if any sensor acquisition data of the same monitoring terminal is not within the set parameter threshold range, a warning message is generated and fed back to the user.

[0021] Furthermore, the central controller in step S3 presets the health status assessment line including the following setting steps:

[0022] Step S31: construct a numerical model of each quality control factor according to the p quality control factors of the vegetable varieties to be pickled. The numerical model of the numerical model of each quality control factor is:

[0023] Z i =a i1 F 1 +a i2 F 2 +…+a im F m +c i U i

[0024] Among them, i takes values ​​of 1, 2, ..., p, and Z i represents the numerical model of the i-th quality control factor, m is the number of environmental factors, F 1 、F 2 ,…,F m represents the values ​​corresponding to 1, 2, ..., m environmental factors, a i1 、a i2 , …, a im Indicates F 1 、F 2 , ..., F m The corresponding environmental quantity action coefficients, c i represents the specific effect coefficient of the i-th quality control factor, U i Represents the specific factor value of the i-th quality control factor;

[0025] Step S32, construct matrices of the numerical models of the p quality control factors, the values ​​corresponding to the m environmental factors, and the specific factor values ​​of the p quality control factors, and transpose them, and construct a diagonal matrix of the specific action coefficients of the p quality control factors;

[0026] The numerical model of p quality control factors is constructed by matrix and then transposed to form: Z = (Z 1 ,Z 2 ,...,Z p ) T ;

[0027] The values ​​corresponding to m environmental factors construct a matrix and after transposition, it is expressed as: F = (F 1 , F 2 , ..., F m ) T ;

[0028] The specific factor values ​​of p quality control factors are used to construct a matrix and then transposed to form the following expression: U = (U 1 , U 2 , ..., U p ) T ;

[0029] The specific effect coefficients of p quality control factors construct a diagonal matrix expressed as: C = diag (c 1 ,c 2 , …, c p );

[0030] Among them, the superscript T represents transpose, and diag represents a diagonal matrix;

[0031] Let A=(a ij ) p×m , j takes the value of 1, 2, …, m;

[0032] The numerical model of multiple quality control factors is expressed in matrix form as follows:

[0033] Z = AF + CU;

[0034] Step S33: using the least square method to calculate the environmental quantity action coefficient, the specific action coefficient and the specific factor value according to the set environmental factor corresponding value; wherein, since the m environmental factors are independent of each other, the following constraints are added when calculating the environmental quantity action coefficient, the specific action coefficient and the specific factor value:

[0035] The specific factors of different quality control factors, as well as the specific factors and m environmental factors are independent of each other, that is,

[0036]

[0037] Cov(F,U)=0;

[0038] in, are the variances of the specific factors of the 1st, 2nd, ..., pth quality control factors respectively;

[0039] Step S4: Let the contribution factor of the environmental factor be:

[0040] Q i =SQRT(SUM(a 2 ij ));

[0041] Among them, SQRT means taking the square root operation, SUM means the sum operation, a ij Represents the element in the i-th row and j-th column of matrix A;

[0042] Then the normalized ratio of each environmental factor is Q 1 :Q 2 :…:Q p , and then the values ​​of environmental factors are denormalized to obtain the actual target values ​​of each environmental factor;

[0043] Step S34, obtain the health status assessment center value by summing the actual target value of each environmental factor and the preset weight of each environmental factor, and then obtain the health status assessment line by adding or subtracting the preset deviation value from the health status assessment center value.

[0044] In summary, compared with the prior art, the present invention has the following beneficial effects: the overall structure of the system of the present invention is simple, uses fewer components, is easy to implement, and has low cost. It provides a kimchi jar monitoring device based on the Internet of Things, which can comprehensively monitor the kimchi pickling environment when used, and can intuitively reflect the pickling status to the user through the health status assessment coefficient. In this way, the present invention can realize dynamic monitoring of the kimchi pickling environment, and the user can obtain the fermentation status in time. When the fermentation is abnormal, the user can be prompted to make adjustments in time, which can improve the yield rate and quality of kimchi pickling. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0046] Figure 1 A system block diagram of information interaction between a single monitoring terminal and a monitoring center in a specific embodiment of the present invention;

[0047] Figure 2 The flowchart of a specific embodiment of the present invention is shown in FIG. DETAILED DESCRIPTION

[0048] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with embodiments and drawings. The exemplary embodiments of the present invention and their description are only used to explain the present invention and are not intended to limit the present invention.

[0049] Embodiment 1:

[0050] like Figure 1 As shown, a system for monitoring the pickling environment of kimchi includes a monitoring center and multiple monitoring terminals, wherein each monitoring terminal monitors the pickling environment of a kimchi jar. The monitoring terminal of this embodiment includes a microprocessor and a temperature sensor, a pH sensor, a turbidity sensor, and a mold sensor connected to the microprocessor. The microprocessor is arranged outside the jar, and the temperature sensor, the pH sensor, the turbidity sensor, and the mold sensor are all arranged inside the jar. The monitoring center of this embodiment includes a central controller, and the microprocessors of the multiple monitoring terminals all realize information exchange with the central controller through a communication module. Among them: the temperature sensor is used to collect the ambient temperature of the area above the salt water in the jar body at a set time interval and send the collected data to the microprocessor; the pH value sensor is used to collect the pH value of the salt water in the jar body at a set time interval and send the collected data to the microprocessor; the turbidity sensor is used to collect the turbidity of the salt water in the jar body at a set time interval and send the collected data to the microprocessor; the mold sensor is used to collect the mold value of the salt water in the jar body at a set time interval and send the collected data to the microprocessor; the microprocessor is used to receive the data collected by each sensor and send it to the central controller after processing; the central controller is used to receive the sensor collected data sent by the microprocessor, and determine whether the sensor collected data is in the correct state. If all sensor data collected by the same monitoring terminal are within the parameter threshold range set by the sensor, then the data collected by all sensors of the same monitoring terminal are multiplied by the set weight to obtain the data collection score of each sensor in the monitoring terminal, and then the data collection scores of all sensors of the same monitoring terminal are added together to obtain the evaluation score of the pickling environment of the kimchi jar monitored by the monitoring terminal, and then the evaluation score is subtracted from the center value of the preset health status assessment line to obtain the absolute value, and then divided by the length of the preset health status assessment line to obtain the health status assessment coefficient and feedback to the user; if the data collected by any sensor of the same monitoring terminal is not within the set parameter threshold range, a warning message is generated and fed back to the user.

[0051] The monitoring center of this embodiment is implemented based on an existing computer system, which is provided with a display connected to the central controller. When the monitoring center feeds back the health status assessment coefficient and warning information to the user, it is fed back to the user through the display. The monitoring center and the monitoring terminal realize information interaction by equipping the monitoring center and the monitoring terminal with a wired communication module or a wireless communication module. When the central controller of this embodiment generates the health status assessment coefficient and / or warning information, it also generates a monitoring terminal identification signal of the data source, so that the user can correspond the display information to the monitoring terminal. The microprocessor of this embodiment is implemented by the STC89C52RC chip. STC89C5RC2 is a low-power, high-performance CMOS 8-bit microcontroller with 8K in-system programmable Flash memory. On a single chip, it has a smart 8-bit CPU and in-system programmable Flash, which makes STC89C52 provide a highly flexible and super-effective solution for many embedded control application systems. The temperature sensor of this embodiment is preferably implemented by DS18B20. DS18B20 is a commonly used digital temperature sensor, which outputs a digital signal, has the characteristics of small size, low hardware overhead, strong anti-interference ability, high precision, and convenient wiring when it is used. The turbidity sensor of this embodiment is preferably implemented by a TS-300B chip, and the turbidity degree caused by suspended matter such as silt and clay contained in the water in the jar is measured by the turbidity sensor. In this embodiment, the pH sensor measures the pH value by collecting the acid-base concentration value of the salt water in the jar.

[0052] like Figure 2As shown, a monitoring method based on the system for monitoring the pickling environment of kimchi comprises the following steps: step S1, the temperature sensor collects the ambient temperature of the area above the salt water in the jar body at a set time interval, the pH sensor collects the pH value of the salt water in the jar body at a set time interval, the turbidity sensor collects the turbidity of the salt water in the jar body at a set time interval, and the mold sensor collects the mold value of the salt water in the jar body at a set time interval, and sends the collected data to the microprocessor; step S2, the microprocessor receives the data collected by each sensor and sends it to the central controller after processing; step S3, the central controller receives the sensor collected data sent by the microprocessor, and determines whether the sensor collected data is within the corresponding sensor setting If all sensor data collected by the same monitoring terminal are within the set parameter threshold range, then all sensor data collected by the same monitoring terminal are multiplied by the set weight to obtain the data collection score of each sensor in the monitoring terminal, and then all sensor data collection scores of the same monitoring terminal are added together to obtain the evaluation score of the pickle jar pickling environment monitored by the monitoring terminal, and then the evaluation score is subtracted from the center value of the preset health status assessment line to obtain the absolute value, and then divided by the length of the preset health status assessment line to obtain the health status assessment coefficient and feedback to the user; if any sensor data collected by the same monitoring terminal is not within the set parameter threshold range, a warning message is generated and fed back to the user. In the specific implementation of this embodiment, the temperature sensor, pH sensor, turbidity sensor and mold sensor collect data at the same time interval, and keep collecting data synchronously.

[0053] The pickling environment of kimchi is a complex physical and biochemical process, and its key quality control parameters are difficult to express using simple linear functions. In particular, as the dishes change, there are significant differences in the adjustment of its quality control parameters (such as color, hardness, crispness, etc., which may be independent or related) (such as there are significant differences in the control parameters required for pickling cucumbers and pickling peppers). The main reason is that there are significant differences in the process and degree of interaction and interaction between the pickled dishes and environmental substances. Therefore, it is particularly important to be able to intelligently analyze the key factors that affect the quality of a certain type of dish. In order to facilitate the adjustment of the preset health status assessment line according to the variety of pickled vegetables when applying this embodiment, the central controller in step S3 of this embodiment presets the health status assessment line and includes the following setting steps:

[0054] Step S31: construct a numerical model of each quality control factor according to the p quality control factors of the vegetable varieties to be pickled. The numerical model of the numerical model of each quality control factor is:

[0055] Z i =a i1 F 1 +a i2 F 2 +…+aim F m +c i U i

[0056] Among them, i takes values ​​of 1, 2, ..., p, and Z i represents the numerical model of the i-th quality control factor, m is the number of environmental factors, F 1 、F 2 , ..., F m represents the values ​​corresponding to 1, 2, ..., m environmental factors, a i1 、a i2 , ..., a im Indicates F 1 、F 2 , ..., F m The corresponding environmental quantity action coefficients, c i represents the specific effect coefficient of the i-th quality control factor, U i represents the specific factor value of the i-th quality control factor. In this embodiment, the environmental factors involve four indicators: temperature, pH value, turbidity and mold value. The original variables of p quality control factors are x i (i=1,2,…,p), x i Standardization gives a new variable Z i .

[0057] Step S32, construct matrices of the numerical models of the p quality control factors, the values ​​corresponding to the m environmental factors, and the specific factor values ​​of the p quality control factors, and transpose them, and construct a diagonal matrix of the specific action coefficients of the p quality control factors;

[0058] The numerical model of p quality control factors is constructed by matrix and then transposed to form: Z = (Z 1 , Z 2 , ..., Z p ) T ;

[0059] The values ​​corresponding to m environmental factors construct a matrix and after transposition, it is expressed as: F = (F 1 , F 2 , ..., F m ) T ;

[0060] The specific factor values ​​of p quality control factors are used to construct a matrix and then transposed to form the following expression: U = (U 1 , U 2 , ..., U p ) T ;

[0061] The specific effect coefficients of p quality control factors construct a diagonal matrix expressed as: C = diag (c 1, c 2 , ..., c p );

[0062] Among them, the superscript T represents transpose, and diag represents a diagonal matrix;

[0063] Let A=(a ij ) p×m , j takes the value of 1, 2, ..., m;

[0064] The numerical model of multiple quality control factors is expressed in matrix form as follows:

[0065] Z=AF+CU.

[0066] Step S33: using the least square method to calculate the environmental quantity action coefficient, the specific action coefficient and the specific factor value according to the set environmental factor corresponding value; wherein, since the m environmental factors are independent of each other, the following constraints are added when calculating the environmental quantity action coefficient, the specific action coefficient and the specific factor value:

[0067] The specific factors of different quality control factors, as well as the specific factors and m environmental factors are independent of each other, that is,

[0068]

[0069] Cov(F,U)=0;

[0070] in, are the variances of the specific factors of the 1st, 2nd, ..., pth quality control factors respectively;

[0071] Step S4: Let the contribution factor of the environmental factor be:

[0072] Q i =SQRT(SUM(a 2 ij ));

[0073] Among them, SQRT means taking the square root operation, SUM means the sum operation, a ji Represents the element in the i-th row and j-th column of matrix A;

[0074] Then the normalized ratio of each environmental factor is Q 1 :Q 2 :…:Q p , and then the values ​​of environmental factors are denormalized to obtain the actual target values ​​of each environmental factor.

[0075] Step S34, the health status assessment center value is obtained by summing the actual target value of each environmental factor and the preset weight value of each environmental factor, and then the health status assessment line is obtained by adding or subtracting the preset deviation value from the health status assessment center value. In this way, this embodiment can realize the intelligent environmental factor control of the brewing environment under the condition of setting the quality control factors.

[0076] Embodiment 2:

[0077] This embodiment makes the following further limitations on the basis of embodiment 1: the monitoring terminal of this embodiment also includes a display screen arranged outside the altar and connected to the microprocessor, wherein the microprocessor receives the parameters collected by each sensor and sends them to the display screen after processing, and the display screen is used to display the parameters collected by each sensor after processing by the microprocessor. In the specific setting of this embodiment, the display screen adopts multiple small data display screens, and the small data display screens are electrically connected to the microprocessor, and the small data display screens display turbidity value display boxes, mold value display boxes, temperature data display boxes, pH value data display boxes, etc. In this way, when this embodiment is applied, existing staff can intuitively view the collected data of each sensor at the monitoring site, and can quickly take corresponding countermeasures when data abnormalities are obviously present.

[0078] Embodiment 3:

[0079] This embodiment makes the following further limitations on the basis of Embodiment 1 or Embodiment 2: The monitoring terminal of this embodiment also includes an alarm device disposed outside the altar and connected to the microprocessor, wherein the microprocessor is also used to control the alarm device to issue an alarm when the parameters collected by each sensor are abnormal, and the alarm device is used to receive the control signal sent by the microprocessor and issue an alarm. The central controller of this embodiment is also used to set and adjust the comparison threshold for each sensor in each monitoring terminal to issue an alarm. When the data collected by any sensor is not within the set parameter threshold range, the central controller generates a warning message and sends an instruction to the microprocessor at the same time. The microprocessor generates a control signal to control the alarm device to issue an alarm, so that the existing staff can take timely treatment measures. In the specific setting of this embodiment, the alarm device adopts an audio alarm device and / or a light source alarm device.

[0080] Embodiment 4:

[0081] This embodiment is further limited as follows based on any one of the embodiments 1 to 3: the monitoring terminal of this embodiment also includes a water sensor outside the jar body and connected to the microprocessor, wherein the water sensor is used to collect the water volume of the salt edge at a set time interval and send the collected data to the microprocessor, the microprocessor is used to receive the data collected by the water sensor and send it to the central controller after processing, and the central controller is used to generate a warning message to feedback to the user when the water volume data of the salt edge collected by the water sensor is lower than the set water volume parameter threshold. When this embodiment is equipped with an alarm device, the central controller generates a warning message and sends an instruction to the microprocessor at the same time, and the microprocessor controls the alarm device to issue an alarm, so that the existing staff can add water to the salt edge in a timely and efficient manner. In the process of pickling kimchi, when the clear water in the jar edge evaporates and no clear water is added, the kimchi in the jar body is easily damaged. This embodiment can effectively prevent the jar edge from lacking water and air entering the jar to cause the kimchi to be damaged by detecting the water volume in the jar edge.

[0082] Embodiment 5:

[0083] This embodiment is further limited as follows based on any one of the embodiments 1 to 4: the monitoring terminal of this embodiment also includes an air pressure sensor disposed in the altar body and connected to the microprocessor, and an exhaust valve disposed on the altar body and connected to the microprocessor, wherein the exhaust valve is realized by a one-way valve that connects the inside of the altar body with the outside and conducts one-way communication from the inside of the altar body to the outside. The air pressure sensor of this embodiment is used to collect the air pressure value in the altar body at a set time interval and send it to the microprocessor, and the microprocessor is used to receive and process the air pressure data collected by the air pressure sensor, and then compare it with the preset altar pressure threshold. If the collected air pressure data is greater than the altar pressure threshold, a control instruction is generated to control the exhaust valve to open, and the exhaust valve receives the control instruction sent by the microprocessor to open to exhaust the gas in the altar body. When this embodiment is applied, the opening time of the exhaust valve is controlled by the microprocessor after calculation based on the collected air pressure data and the exhaust valve displacement per unit time. In this way, this embodiment can monitor the air pressure inside the jar in real time, and when the air pressure exceeds the limit, the exhaust valve can be opened to discharge the gas generated during the pickling process of kimchi. Compared with the traditional kimchi jar for pickling kimchi, this method can prevent the carbon dioxide from overflowing from the joint between the jar cover and the jar edge when the air pressure inside the jar is too high, causing water to enter the jar and damage the kimchi.

[0084] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A system for monitoring kimchi pickling environment, characterized in that: The invention comprises a monitoring center and a plurality of monitoring terminals, wherein each monitoring terminal corresponds to monitoring the pickling environment of a kimchi jar; the monitoring terminal comprises a microprocessor and a temperature sensor, a pH value sensor, a turbidity sensor, and a mold sensor connected to the microprocessor; the microprocessor is arranged outside the jar, and the temperature sensor, the pH value sensor, the turbidity sensor, and the mold sensor are all arranged inside the jar; the monitoring center comprises a central controller, and the microprocessors of the plurality of monitoring terminals realize information exchange with the central controller through a communication module; wherein: A temperature sensor is used to collect the ambient temperature of the area above the brine in the jar body at a set time interval and send the collected data to the microprocessor; A pH sensor is used to collect the pH value of the brine in the altar at a set time interval and send the collected data to the microprocessor; A turbidity sensor is used to collect the turbidity of the salt water in the jar at set time intervals and send the collected data to the microprocessor; A mold sensor is used to collect mold values ​​in the salt water in the jar body at set time intervals and send the collected data to a microprocessor; A microprocessor is used to receive the data collected by each sensor and send it to the central controller after processing; The central controller is used to receive the sensor collection data sent by the microprocessor, and determine whether the sensor collection data is within the parameter threshold range set for the corresponding sensor. If all the sensor collection data of the same monitoring terminal are within the set parameter threshold range, then all the sensor collection data of the same monitoring terminal are multiplied by the set weight to obtain the collection data score of each sensor in the monitoring terminal, and then all the sensor collection data scores of the same monitoring terminal are added together to obtain the evaluation score of the pickling environment of the kimchi jar monitored by the monitoring terminal, and then the evaluation score is subtracted from the central value of the preset health status evaluation line to obtain the absolute value, and then divided by the length of the preset health status evaluation line to obtain the health status evaluation coefficient and feedback to the user; if any sensor collection data of the same monitoring terminal is not within the set parameter threshold range, a warning message is generated and fed back to the user.

2. The system for monitoring kimchi pickling environment according to claim 1, characterized in that: The monitoring terminal also includes a display screen arranged outside the altar and connected to a microprocessor. The microprocessor receives parameters collected by each sensor and sends them to the display screen after processing. The display screen is used to display the parameters collected by each sensor after processing by the microprocessor.

3. The system for monitoring kimchi pickling environment according to claim 1, characterized in that: The monitoring terminal also includes an alarm device arranged outside the altar and connected to the microprocessor. The microprocessor is also used to control the alarm device to issue an alarm when the parameters collected by each sensor are abnormal. The alarm device is used to receive the control signal sent by the microprocessor and issue an alarm; the central controller is also used to set and adjust the comparison threshold value for the alarm issued by each sensor in each monitoring terminal.

4. The system for monitoring kimchi pickling environment according to claim 1, characterized in that: The monitoring terminal also includes a water volume sensor arranged outside the altar body and connected to the microprocessor, the water volume sensor is used to collect the water volume of the salt edge at a set time interval and send the collected data to the microprocessor, the microprocessor is used to receive the data collected by the water volume sensor and send it to the central controller after processing, and the central controller is used to generate a warning message and feedback to the user when the water volume data of the salt edge collected by the water volume sensor is lower than the set water volume parameter threshold.

5. A system for monitoring kimchi pickling environment according to any one of claims 1 to 4, characterized in that: The monitoring terminal also includes an air pressure sensor arranged in the altar body and connected to the microprocessor, and an exhaust valve arranged on the altar body and connected to the microprocessor. The air pressure sensor is used to collect the air pressure value in the altar body at a set time interval and send it to the microprocessor. The microprocessor is used to receive the air pressure data collected by the air pressure sensor and process it, and then compare it with the preset altar pressure threshold. If the collected air pressure data is greater than the altar pressure threshold, a control instruction is generated to control the exhaust valve to open. The exhaust valve receives the control instruction sent by the microprocessor and opens to expel the gas in the altar body.

6. A monitoring method for a system for monitoring a kimchi pickling environment according to any one of claims 1 to 5, characterized in that: The following steps are involved: Step S1, the temperature sensor collects the ambient temperature of the area above the salt water in the jar body at a set time interval, the pH sensor collects the pH value of the salt water in the jar body at a set time interval, the turbidity sensor collects the turbidity of the salt water in the jar body at a set time interval, and the mold sensor collects the mold value of the salt water in the jar body at a set time interval, and sends the collected data to the microprocessor; Step S2: The microprocessor receives the data collected by each sensor and sends it to the central controller after processing; Step S3, the central controller receives the sensor acquisition data sent by the microprocessor, and determines whether the sensor acquisition data is within the parameter threshold range set for the corresponding sensor. If all the sensor acquisition data of the same monitoring terminal are within the set parameter threshold range, then all the sensor acquisition data of the same monitoring terminal are multiplied by the set weight to obtain the acquisition data score of each sensor in the monitoring terminal, and then all the sensor acquisition data scores of the same monitoring terminal are added together to obtain the evaluation score of the pickling environment of the kimchi jar monitored by the monitoring terminal, and then the evaluation score is subtracted from the center value of the preset health status assessment line to obtain the absolute value, and then divided by the length of the preset health status assessment line to obtain the health status assessment coefficient and feedback to the user; if any sensor acquisition data of the same monitoring terminal is not within the set parameter threshold range, a warning message is generated and fed back to the user.

7. The method for monitoring a kimchi pickling environment according to claim 6, characterized in that: The central controller presets the health status assessment line in step S3, including the following setting steps: Step S31: construct a numerical model of each quality control factor according to the p quality control factors of the vegetable varieties to be pickled. The numerical model of the numerical model of each quality control factor is: Z i =a i1 F1+a i2 F2+…+a im F m +c i U i Among them, i takes values ​​of 1, 2, ..., p, and Z i represents the numerical model of the i-th quality control factor, m is the number of environmental factors, F1, F2, ..., F m represents the values ​​corresponding to 1, 2, ..., m environmental factors, a i1 、a i2 , ..., a im Indicates F1, F2, ..., F m The corresponding environmental quantity action coefficients, c i represents the specific effect coefficient of the i-th quality control factor, U i Represents the specific factor value of the i-th quality control factor; Step S32, construct matrices of the numerical models of the p quality control factors, the values ​​corresponding to the m environmental factors, and the specific factor values ​​of the p quality control factors, and transpose them, and construct a diagonal matrix of the specific action coefficients of the p quality control factors; The numerical model of p quality control factors is constructed by matrix and then transposed as follows: Z = (Z1, Z2, ..., Z p ) T ; The values ​​corresponding to m environmental factors construct a matrix and after transposition, it is expressed as: F = (F1, F2, ..., F m ) T ; The specific factor values ​​of p quality control factors are used to construct a matrix and then transposed to form the matrix: U = (U1, U2, ..., U p ) T ; The specific effect coefficients of p quality control factors construct a diagonal matrix expressed as: C = diag (c1, c2, ..., c p ); Among them, the superscript T represents transpose, and diag represents a diagonal matrix; Let A=(a ij ) p×m , j takes the value of 1, 2, ..., m; The numerical model of multiple quality control factors is expressed in matrix form as follows: Z = AF + CU; Step S33: using the least square method to calculate the environmental quantity action coefficient, the specific action coefficient and the specific factor value according to the set environmental factor corresponding value; wherein, since the m environmental factors are independent of each other, the following constraints are added when calculating the environmental quantity action coefficient, the specific action coefficient and the specific factor value: The specific factors of different quality control factors, as well as the specific factors and m environmental factors are independent of each other, that is, Cov(F,U)=0; in, are the variances of the specific factors of the 1st, 2nd, ..., pth quality control factors respectively; Step S4: Let the contribution factor of the environmental factor be: Q i =SQRT(SUM(a 2 ij )); Among them, SQRT means taking the square root operation, SUM means the sum operation, a ij Represents the element in the i-th row and j-th column of matrix A; Then the normalized ratio of each environmental factor is Q1:Q2:…:Q p , and then the values ​​of environmental factors are denormalized to obtain the actual target values ​​of each environmental factor; Step S34, obtain the health status assessment center value by summing the actual target value of each environmental factor and the preset weight of each environmental factor, and then obtain the health status assessment line by adding or subtracting the preset deviation value from the health status assessment center value.

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