Tea production intelligent monitoring system based on multi-element perception

Abstract

The invention relates to the technical field of tea production monitoring, in particular to an intelligent tea production monitoring system based on multi-element perception, which comprises a tea production monitoring center, a loss processing unit, a loss evaluation unit, a single-point monitoring unit, a warehouse management unit, a warehouse control management unit and a rear-end processing unit, according to the invention, monitoring analysis is carried out from two points of tea processing and storage to reduce the loss risk of the tea, and the tea loss rate of the tea is analyzed from the perspective of processing, so that whether the overall processing loss of the current tea is normal or not is intuitively known, the processing procedure of the tea is adjusted, and the processing efficiency of the tea is improved. Meanwhile, the abnormal loss risk in the overall loss of the tea leaves is further analyzed, and the process loss risk supervision analysis is deeply performed on the abnormal tea leaf loss rate, so that the to-be-regulated process with the risk is managed, and the water content of the tea leaves is analyzed from the perspective of storage; the loss risk increase caused by overlarge water content difference is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of tea production monitoring, and particularly to an intelligent monitoring system for tea production based on multi-sensor perception. Background Art

[0002] The processes of tea planting, production and manufacturing are complex. With the increase in labor costs, the operation and management methods of traditional tea factories are not only inefficient but also have a low level of intelligence. Using modern information technology means to achieve precise and intelligent management of the growth environment and processes such as production, processing, circulation, and sales of tea has become the current development trend of the industry. In view of the above technical deficiencies, a solution is proposed. However, in the prior art, it is impossible to monitor the losses in the tea production process, which leads to an increased risk of abnormal tea production losses. At the same time, it is impossible to investigate and manage the processes with abnormal losses, which is not conducive to the stable production and processing of tea. In addition, it is impossible to conduct safety supervision on tea production storage. As a result, there is an increased risk of abnormal temperature control due to the storage of tea with too large a difference in water content in the same area, which further increases the risk of storage losses of stored tea and is not conducive to low-loss storage of tea. In view of the above technical deficiencies, a solution is proposed. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent monitoring system for tea production based on multi-sensor perception to solve the above-mentioned technical deficiencies. The present invention conducts monitoring and analysis from two aspects: tea processing and storage to reduce the risk of tea losses. From the perspective of processing, the tea loss rate of tea is analyzed to intuitively understand whether the overall processing loss of the current tea is normal, so as to adjust the tea processing process to reduce the risk of tea processing losses. At the same time, the risk of abnormal losses in the overall tea losses is further analyzed to reduce tea losses, and in-depth supervision and analysis of the process loss risk of the abnormal tea loss rate are carried out to manage the processes to be regulated with risks and reduce the processing loss risk of the processes to be regulated. From the perspective of storage, the water content of tea is analyzed to avoid an increased risk of abnormal temperature control caused by storing stored tea with too large a difference in water content in the same area, which further increases the risk of storage losses of stored tea. At the same time, progressive analysis is carried out from the perspective of storage control to adjust the current storage control parameters to improve the storage safety of stored tea.

[0004] The purpose of the present invention can be achieved through the following technical solutions: An intelligent monitoring system for tea production based on multi-sensor perception, which includes a tea production monitoring center, a loss processing unit, a loss evaluation unit, a single-point monitoring unit, a warehouse management unit, a warehouse control management unit, and a backend processing unit; The tea production monitoring center is used to retrieve the tea loss rate of the processing procedures of the tea to be processed, and send the tea loss rate to the loss processing unit for processing loss evaluation and feedback analysis to obtain a qualified signal or an unqualified signal. When a qualified signal is generated, the loss evaluation unit is used to conduct normal loss safety supervision and analysis on the collected overall loss rate to obtain a stable signal or a risk signal. When a risk signal is generated, the single-point monitoring unit is used to conduct process loss risk supervision and analysis on the collected abnormal tea loss rate to obtain a regulation signal or a normal signal; When a stable signal is generated, the warehousing management unit is used to conduct classified warehousing management analysis on the collected moisture content, and conduct discrimination processing on the obtained batch moisture content to obtain a normal state signal or a temperature control signal; When a normal state signal is generated, the warehouse control management unit is used to conduct warehouse control loss risk analysis on the collected warehouse control data, and conduct comparison and analysis on the obtained warehouse control defect coefficient and warehousing loss rate to obtain a warehousing stable signal or a warehousing control signal.

[0005] Preferably, the process of the processing loss evaluation and feedback analysis is as follows: Collect the production and processing monitoring period of the tea to be processed, and set the production and processing monitoring period of the tea to be processed as the time threshold; Obtain the tea loss rate of the processing procedures of the tea to be processed within the time threshold. The processing procedures include fixation, rolling, and fermentation, and conduct discrimination processing on the tea loss rate of each processing procedure to obtain the output results of the discrimination processing of the tea loss rate of each processing procedure. The output results include qualified and unqualified. Obtain the number of qualified output results of the discrimination processing of the tea loss rate, and conduct discrimination processing on the number of qualified output results of the discrimination processing of the tea loss rate to obtain a qualified signal or an unqualified signal.

[0006] Preferably, for qualified and unqualified: The tea loss rate is compared and analyzed with the preset tea loss rate threshold of the corresponding processing procedure. If the tea loss rate is less than the preset tea loss rate threshold of the corresponding processing procedure, it is determined to be qualified. If the tea loss rate is greater than or equal to the preset tea loss rate threshold of the corresponding processing procedure, it is determined to be unqualified.

[0007] Preferably, the process of the normal loss safety supervision and analysis is as follows: Obtain the sum of the tea loss rates corresponding to each processing procedure of the tea to be processed within the time threshold, and set the sum of the tea loss rates corresponding to each processing procedure of the tea to be processed as the overall loss rate. Obtain the corresponding normal loss rate in the overall loss value, and then obtain the value obtained by subtracting the normal loss rate from the overall loss rate, and conduct discrimination processing on the value obtained by subtracting the normal loss rate from the overall loss rate to obtain a stable signal or a risk signal; The normal loss rate represents the total loss value of the tea leaves to be processed under normal loss operations in each processing step. The normal loss operations include normal pressing, normal screening, and normal water evaporation.

[0008] Preferably, the process for monitoring and analyzing the loss risk of each step is as follows: Obtain the abnormal tea leaf loss rate in the tea leaf loss rates corresponding to each processing step of the tea leaves to be processed within the time threshold. The abnormal tea leaf loss rate represents the loss rate caused by processing defects in the processing step. The processing defects include equipment failures and operation errors. Then, obtain the value obtained by subtracting the abnormal tea leaf loss rate from the tea leaf loss rate, and perform a discrimination process on the value obtained by subtracting the abnormal tea leaf loss rate from the tea leaf loss rate: If the value obtained by subtracting the abnormal tea leaf loss rate from the tea leaf loss rate is less than the corresponding preset threshold, determine that the corresponding step is a step to be regulated, and generate a regulation signal at the same time; if the value obtained by subtracting the abnormal tea leaf loss rate from the tea leaf loss rate is greater than or equal to the corresponding preset threshold, determine that the corresponding step is a stable step, and generate a normal signal at the same time.

[0009] Preferably, the process for classified storage management analysis is as follows: Set the tea leaves to be processed corresponding to the stable signal as the stored tea leaves. Randomly select i portions of stored tea leaves with the same weight, where i is a natural number greater than zero. Obtain the water content of each portion of stored tea leaves. Then, construct a set A of the water contents of the stored tea leaves, obtain the coefficient of variation of the set A of water contents, and perform a discrimination process on the coefficient of variation of the set A of water contents to obtain a feedback signal or a classified storage signal.

[0010] Preferably, when a feedback signal is generated, obtain the batch moisture content rate of the stored tea leaves within the time threshold. The batch moisture content rate refers to the average moisture mass percentage of the tea leaves in the current batch, and perform a discrimination process on the batch moisture content rate. If the batch moisture content rate is less than or equal to the preset batch moisture content rate threshold, generate a normal state signal; if the batch moisture content rate is greater than the preset batch moisture content rate threshold, generate a temperature control signal.

[0011] Preferably, the process for analyzing the loss risk of warehouse control is as follows: Obtain the warehouse control data corresponding to the storage area of the stored tea leaves within the time threshold. The warehouse control data includes a warehouse control defect coefficient and a storage loss rate. Among them, the warehouse control defect coefficient represents the proportion of the number of times of temperature or humidity control delay in the total number of times of temperature and humidity control of the stored tea leaves, and perform a comparison and analysis on the warehouse control defect coefficient and the storage loss rate to obtain a warehouse stability signal or a warehouse control signal.

[0012] The beneficial effects of the present invention are as follows: (1)The present invention monitors and analyzes tea from two aspects: processing and storage, in order to reduce the loss risk of tea. From the perspective of processing, the tea loss rate of tea is analyzed to intuitively understand whether the overall processing loss of the current tea is normal, so as to adjust the tea processing process to reduce the processing loss risk of tea. At the same time, the non-normal loss risk in the overall loss of tea is further analyzed to reduce the loss of tea, and the process loss risk supervision and analysis of the non-normal tea loss rate is deeply carried out to manage the process to be regulated with risks, so as to reduce the processing loss risk of the process to be regulated. (2)The present invention analyzes the water content of tea from the perspective of storage, so as to store the stored tea with too large water content differences in different areas, avoiding the risk of increased temperature control abnormalities caused by storing the stored tea with too large water content differences in the same area, and further increasing the storage loss risk of the stored tea. At the same time, progressive analysis is carried out from the perspective of storage control, so as to adjust the current storage control parameters to improve the storage safety of the stored tea, and further reduce the storage loss rate risk of the stored tea. Brief Description of the Drawings

[0013] The present invention will be further described below with reference to the accompanying drawings; Figure 1 is the system flow block diagram of the present invention; Figure 2 is the partial analysis reference diagram of the first embodiment of the present invention. Detailed Embodiments

[0014] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0015] Referring to "embodiment" herein means that the specific features, structures or characteristics described in connection with the embodiment may be included in at least one embodiment of the present invention. The phrase appears in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein may be combined with other embodiments; Embodiment 1: Please refer to Figures 1 to 2As shown in the figure, the present invention is an intelligent monitoring system for tea production based on multi-sensor perception, including a tea production monitoring center, a loss processing unit, a loss evaluation unit, a single-point monitoring unit, a warehousing management unit, a warehouse control management unit, and a back-end processing unit. The tea production monitoring center is unidirectionally communicatively connected to the loss processing unit, the loss processing unit is unidirectionally communicatively connected to the loss evaluation unit, the loss evaluation unit is unidirectionally communicatively connected to both the single-point monitoring unit and the warehousing management unit, the single-point monitoring unit is unidirectionally communicatively connected to the back-end processing unit, the warehousing management unit is unidirectionally communicatively connected to the warehouse control management unit, and the warehouse control management unit is unidirectionally communicatively connected to the back-end processing unit; The tea production monitoring center is used to retrieve the tea loss rate of the processing procedures of the tea to be processed, and send the tea loss rate to the loss processing unit for processing loss evaluation and feedback analysis, so as to intuitively understand whether the overall processing loss of the current tea to be processed is normal, so as to adjust the processing procedures of the tea to be processed and reduce the processing loss risk of the tea to be processed. The specific processing loss evaluation and feedback analysis process is as follows: Collect the production and processing monitoring period of the tea to be processed, and set the production and processing monitoring period of the tea to be processed as the time threshold; Obtain the tea loss rate of the processing procedures of the tea to be processed within the time threshold. The processing procedures include fixation, rolling, fermentation, etc., and perform discrimination processing on the tea loss rate of each processing procedure to obtain the output results of the discrimination processing of the tea loss rate of each processing procedure. The output results include qualified and unqualified. Obtain the number of output results of the discrimination processing of the tea loss rate that are qualified, and perform discrimination processing on the number of output results of the discrimination processing of the tea loss rate that are qualified: If the number of output results of the discrimination processing of the tea loss rate that are qualified is equal to the preset threshold, generate a qualified signal; If the number of output results of the discrimination processing of the tea loss rate that are qualified is not equal to the preset threshold, generate an unqualified signal, and send the qualified signal or the unqualified signal to the back-end processing unit. After receiving the qualified signal or the unqualified signal, the back-end processing unit immediately performs the preset warning operation corresponding to the qualified signal or the unqualified signal, so as to intuitively understand whether the overall processing loss of the current tea to be processed is normal, so as to adjust the processing procedures of the tea to be processed and reduce the processing loss risk of the tea to be processed; Qualified and unqualified: Compare and analyze the tea loss rate with the preset tea loss rate threshold of the corresponding processing procedure. If the tea loss rate is less than the preset tea loss rate threshold of the corresponding processing procedure, it is determined to be qualified. If the tea loss rate is greater than or equal to the preset tea loss rate threshold of the corresponding processing procedure, it is determined to be unqualified; When a qualified signal is generated, the loss evaluation unit is used to conduct a normal loss safety supervision analysis on the overall loss rate collected, so as to judge whether the abnormal loss risk of the tea leaves to be processed under normal processing loss is too high. The specific process of normal loss safety supervision analysis is as follows: Obtain the sum of the tea leaf loss rates corresponding to each processing procedure of the tea leaves to be processed within the time threshold, and set the sum of the tea leaf loss rates corresponding to each processing procedure of the tea leaves to be processed as the overall loss rate. Obtain the corresponding normal loss rate in the overall loss value, and then obtain the value obtained by subtracting the normal loss rate from the overall loss rate, and conduct a discrimination process on the value obtained by subtracting the normal loss rate from the overall loss rate: If the value obtained by subtracting the normal loss rate from the overall loss rate is less than the corresponding preset threshold, a stable signal is generated; If the value obtained by subtracting the normal loss rate from the overall loss rate is greater than or equal to the corresponding preset threshold, a risk signal is generated. The stable signal or risk signal is sent to the backend processing unit. After receiving the stable signal or risk signal, the backend processing unit immediately performs the preset warning operation corresponding to the stable signal or risk signal, so as to adjust the processing procedure according to the information feedback situation to reduce the loss of the tea leaves to be processed; The normal loss rate represents the total loss value of the tea leaves to be processed under normal loss operations in each processing procedure. The normal loss operations include normal pressing, normal screening, normal moisture evaporation, etc.; When a risk signal is generated, the single-point monitoring unit is used to conduct a process loss risk supervision analysis on the collected abnormal tea leaf loss rate, so as to manage the processing procedures to be regulated with risks to reduce the processing loss risk of the processing procedures to be regulated. The specific process of process loss risk supervision analysis is as follows: Obtain the abnormal tea leaf loss rate in the tea leaf loss rates corresponding to each processing procedure of the tea leaves to be processed within the time threshold. The abnormal tea leaf loss rate represents the loss rate caused by processing defects in the processing procedure. The processing defects include equipment failures, operation errors, etc. Then obtain the value obtained by subtracting the abnormal tea leaf loss rate from the tea leaf loss rate, and conduct a discrimination process on the value obtained by subtracting the abnormal tea leaf loss rate from the tea leaf loss rate: If the value obtained by subtracting the abnormal tea leaf loss rate from the tea leaf loss rate is less than the corresponding preset threshold, it is determined that the corresponding process is a process to be regulated, and a regulation signal is generated at the same time; If the value obtained by subtracting the abnormal tea leaf loss rate from the tea leaf loss rate is greater than or equal to the corresponding preset threshold, it is determined that the corresponding process is a stable process, and a normal signal is generated at the same time. The regulation signal or normal signal is sent to the backend processing unit. After receiving the regulation signal or normal signal, the backend processing unit immediately performs the preset warning operation corresponding to the regulation signal or normal signal, so as to manage the processing procedures to be regulated with risks to reduce the processing loss risk of the processing procedures to be regulated.

[0016] Embodiment 2: When generating a stable signal, the warehousing management unit is used to conduct classified warehousing management analysis on the collected moisture content, so as to store the warehoused tea with too large moisture content differences in different areas, avoiding the risk of increased temperature control anomalies caused by storing the warehoused tea with too large moisture content differences in the same area, and further increasing the warehousing loss risk of the warehoused tea. The specific process of classified warehousing management analysis is as follows: Set the tea to be processed corresponding to the stable signal as warehoused tea, randomly select i portions of warehoused tea with the same weight, where i is a natural number greater than zero, obtain the moisture content of each portion of warehoused tea, and then construct a set A of the moisture content of the warehoused tea, obtain the coefficient of variation of the moisture content set A, and conduct discriminant processing on the coefficient of variation of the moisture content set A: If the coefficient of variation of the moisture content set A is less than the preset threshold, a feedback signal is generated; If the coefficient of variation of the moisture content set A is greater than or equal to the preset threshold, a partitioned warehousing signal is generated, and the partitioned warehousing signal is sent to the backend processing unit. After receiving the partitioned warehousing signal, the backend processing unit immediately displays the preset warning text corresponding to the partitioned warehousing signal, so as to store the warehoused tea with too large moisture content differences in different areas, avoiding the risk of increased conflict in temperature control requirements caused by storing the warehoused tea with too large moisture content differences in the same area; When generating a feedback signal, obtain the batch moisture content rate of the warehoused tea within the time threshold. The batch moisture content rate refers to the average moisture mass percentage of the current batch of tea, and conduct discriminant processing on the batch moisture content rate. If the batch moisture content rate is less than or equal to the preset batch moisture content rate threshold, a normal signal is generated. If the batch moisture content rate is greater than the preset batch moisture content rate threshold, a temperature control signal is generated, and the normal signal or the temperature control signal is sent to the backend processing unit. After receiving the normal signal or the temperature control signal, the backend processing unit immediately performs the preset warning operation corresponding to the normal signal or the temperature control signal, that is, the preset warning operation corresponding to the normal signal is: continue to monitor, and the preset warning operation corresponding to the temperature control signal is: warehouse temperature regulation, thereby improving the warehousing quality of the warehoused tea, reducing the mildew risk of the warehoused tea, and also helping to reduce the warehousing loss risk of the warehoused tea; When generating a normal signal, the warehouse control management unit is used to conduct warehouse control loss risk analysis on the collected warehouse control data, so as to adjust the current warehouse control parameters to improve the warehousing safety of the warehoused tea, and further reduce the warehousing consumption rate risk of the warehoused tea. The specific process of warehouse control loss risk analysis is as follows: Obtain the warehouse control data corresponding to the warehousing area of the warehoused tea within the time threshold. The warehouse control data includes the warehouse control defect coefficient and the warehousing loss rate. Among them, the warehouse control defect coefficient represents the proportion of the number of temperature or humidity control delays in the total number of warehouse temperature and humidity control times of the warehoused tea, and conduct comparative analysis on the warehouse control defect coefficient and the warehousing loss rate: If the warehouse control defect coefficient is less than the preset warehouse control defect coefficient threshold, and the warehousing loss rate is less than the preset warehousing loss rate threshold, a warehousing stability signal is generated; If the warehouse control defect coefficient is greater than or equal to the preset warehouse control defect coefficient threshold, or the warehousing loss rate is greater than or equal to the preset warehousing loss rate threshold, a warehousing control signal is generated, and the warehousing stability signal or the warehousing control signal is sent to the backend processing unit. After receiving the warehousing stability signal or the warehousing control signal, the backend processing unit immediately performs the preset warning operation corresponding to the warehousing stability signal or the warehousing control signal, so as to adjust the current warehousing control parameters, improve the warehousing safety of the warehousing tea, and further reduce the risk of the warehousing loss rate of the warehousing tea; In summary, the present invention monitors and analyzes from two points of tea processing and warehousing to reduce the loss risk of tea. Analyze the tea loss rate from the perspective of processing to intuitively understand whether the overall processing loss of the current tea is normal, so as to adjust the tea processing process to reduce the processing loss risk of tea. At the same time, further analyze the abnormal loss risk in the overall loss of tea to reduce the loss of tea, and deeply analyze the process loss risk of the abnormal tea loss rate to manage the process to be regulated with risks, so as to reduce the processing loss risk of the process to be regulated. Analyze the water content of tea from the perspective of warehousing to store the warehousing tea with too large water content differences in different areas, avoiding the risk of increased temperature control abnormalities caused by storing the warehousing tea with too large water content differences in the same area, and further increasing the warehousing loss risk of the warehousing tea. At the same time, analyze step by step from the perspective of warehousing control to adjust the current warehousing control parameters to improve the warehousing safety of the warehousing tea, and further reduce the risk of the warehousing loss rate of the warehousing tea.

[0017] The setting of the size of the threshold is for the convenience of comparison. Regarding the size of the threshold, it depends on the amount of sample data and the base quantity set by those skilled in the art for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantified value.

[0018] The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and should be covered by the protection scope of the present invention.

Claims

1. The intelligent monitoring system for tea production based on multi-sensor perception is characterized in that, It includes a tea production monitoring center, a loss processing unit, a loss evaluation unit, a single-point monitoring unit, a warehousing management unit, a warehouse control management unit, and a back-end processing unit; The tea production monitoring center is used to retrieve the tea loss rate of the processing procedures of the tea to be processed, and send the tea loss rate to the loss processing unit for processing loss evaluation and feedback analysis to obtain a qualified signal or an unqualified signal. When a qualified signal is generated, the loss evaluation unit is used to conduct normal loss safety supervision and analysis on the collected overall loss rate to obtain a stable signal or a risk signal. When a risk signal is generated, the single-point monitoring unit is used to conduct process loss risk supervision and analysis on the collected abnormal tea loss rate to obtain a regulation signal or a normal signal; When a stable signal is generated, the warehousing management unit is used to conduct classified warehousing management and analysis on the collected water content, and conduct discrimination processing on the obtained batch moisture content to obtain a normal state signal or a temperature control signal; When a normal state signal is generated, the warehouse control management unit is used to conduct warehouse control loss risk analysis on the collected warehouse control data, and conduct comparison and analysis on the obtained warehouse control defect coefficient and warehousing loss rate to obtain a warehousing stable signal or a warehousing control signal.

2. The intelligent monitoring system for tea production based on multi-sensor perception according to claim 1, characterized in that The process of the processing loss evaluation and feedback analysis is as follows: Collect the production and processing monitoring period of the tea to be processed, and set the production and processing monitoring period of the tea to be processed as the time threshold; Obtain the tea loss rate of the processing procedures of the tea to be processed within the time threshold. The processing procedures include fixation, rolling, and fermentation, and conduct discrimination processing on the tea loss rate of each processing procedure to obtain the output results of the discrimination processing of the tea loss rate of each processing procedure. The output results include qualified and unqualified. Obtain the number of qualified output results of the discrimination processing of the tea loss rate, and conduct discrimination processing on the number of qualified output results of the discrimination processing of the tea loss rate to obtain a qualified signal or an unqualified signal.

3. The intelligent monitoring system for tea production based on multi-sensor perception according to claim 2, characterized in that Qualified and unqualified: The tea loss rate is compared and analyzed with the preset tea loss rate threshold of the corresponding processing procedure. If the tea loss rate is less than the preset tea loss rate threshold of the corresponding processing procedure, it is determined to be qualified. If the tea loss rate is greater than or equal to the preset tea loss rate threshold of the corresponding processing procedure, it is determined to be unqualified.

4. The intelligent monitoring system for tea production based on multi-sensor perception according to claim 1, wherein, The process of the normal loss safety supervision and analysis is as follows: Obtain the sum of the tea loss rates corresponding to each processing procedure of the tea to be processed within the time threshold, and set the sum of the tea loss rates corresponding to each processing procedure of the tea to be processed as the overall loss rate. Obtain the corresponding normal loss rate in the overall loss value, and then obtain the value obtained by subtracting the normal loss rate from the overall loss rate, and conduct discrimination processing on the value obtained by subtracting the normal loss rate from the overall loss rate to obtain a stable signal or a risk signal; The normal loss rate represents the total loss value of the tea to be processed under normal loss operations in each processing procedure. The normal loss operations include normal pressing, normal screening, and normal water evaporation.

5. The intelligent monitoring system for tea production based on multi-sensor perception according to claim 1, wherein The process of the process loss risk supervision and analysis is as follows: Obtain the abnormal tea loss rate among the tea loss rates corresponding to each processing step of the tea to be processed within the time threshold. The abnormal tea loss rate represents the loss rate caused by processing defects in the processing step, and the processing defects include equipment failures and operation errors. Furthermore, obtain the value obtained by subtracting the abnormal tea loss rate from the tea loss rate, and perform discrimination processing on the value obtained by subtracting the abnormal tea loss rate from the tea loss rate: If the value obtained by subtracting the abnormal tea loss rate from the tea loss rate is less than the corresponding preset threshold, determine that the corresponding process is a process to be regulated, and generate a regulation signal at the same time; if the value obtained by subtracting the abnormal tea loss rate from the tea loss rate is greater than or equal to the corresponding preset threshold, determine that the corresponding process is a stable process, and generate a normal signal at the same time.

6. The intelligent monitoring system for tea production based on multi-sensor perception according to claim 1, characterized in that, The classification warehousing management analysis process is as follows: Set the tea to be processed corresponding to the stable signal as warehoused tea, randomly select i portions of warehoused tea with the same weight, where i is a natural number greater than zero, obtain the water content of each portion of warehoused tea, and then construct a set A of the water content of the warehoused tea, obtain the coefficient of variation of the water content set A, and perform discrimination processing on the coefficient of variation of the water content set A to obtain a feedback signal or a zone warehousing signal.

7. The intelligent monitoring system for tea production based on multi-sensor perception according to claim 6, characterized in that, When generating a feedback signal, obtain the batch moisture content of the warehoused tea within the time threshold. The batch moisture content refers to the average moisture mass percentage of the current batch of tea, and perform discrimination processing on the batch moisture content. If the batch moisture content is less than or equal to the preset batch moisture content threshold, generate a normal state signal; if the batch moisture content is greater than the preset batch moisture content threshold, generate a temperature control signal.

8. The intelligent monitoring system for tea production based on multi-sensor perception according to claim 1, characterized in that, The warehouse control loss risk analysis process is as follows: Obtain the warehouse control data corresponding to the warehousing area of the warehoused tea within the time threshold. The warehouse control data includes the warehouse control defect coefficient and the warehousing loss rate. Among them, the warehouse control defect coefficient represents the proportion of the number of times of temperature or humidity control delay in the total number of times of warehouse temperature and humidity control of the warehoused tea, and perform a comparison analysis on the warehouse control defect coefficient and the warehousing loss rate to obtain a warehouse stability signal or a warehouse control signal.

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