Intelligent monitoring system for tea production based on multi-element perception

Abstract

The present application relates to the technical field of tea production monitoring, and particularly relates to a tea production intelligent 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 backend processing unit; the present application monitors and analyzes from two points of tea processing and storage to reduce the loss risk of tea, analyzes the tea loss rate of tea from the perspective of processing, so as to intuitively understand whether the overall processing loss of the current tea is normal, so as to adjust the processing procedure of tea, and further analyzes the abnormal loss risk in the overall loss of tea and deeply analyzes the abnormal tea loss rate in the processing loss risk, so as to manage the to-be-regulated procedure with risk, analyzes the water content of tea from the perspective of storage, and avoids that the large difference in water content leads to an increased loss risk.

Description

Technical Field

[0001] This invention relates to the field of tea production monitoring technology, and in particular to an intelligent monitoring system for tea production based on multi-sensor perception. Background Technology

[0002] The planting, production, and processing of tea are complex processes. With rising labor costs, the traditional operation and management methods of tea factories are not only inefficient but also lack a high level of intelligence. Utilizing modern information technology to achieve precise and intelligent management of the tea's growth environment and the processes of production, processing, distribution, and sales has become the current development trend of the industry. In response to the aforementioned technical shortcomings, a solution is proposed. However, in the existing technology, it is impossible to monitor the losses in the tea production process, which leads to an increased risk of abnormal losses in tea production. 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. Furthermore, it is impossible to conduct safety supervision of tea production and storage, which results in teas with excessively different moisture content being stored in the same area, leading to an increased risk of abnormal temperature control, which in turn increases the risk of storage losses of stored tea and is not conducive to low-loss storage of tea. To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0003] The purpose of this invention is to provide an intelligent monitoring system for tea production based on multi-sensor perception to address the aforementioned technical deficiencies. This invention monitors and analyzes tea production from two aspects: processing and storage, to reduce the risk of tea loss. From a processing perspective, it analyzes the tea loss rate to intuitively understand whether the overall processing loss is normal, allowing for adjustments to processing procedures to reduce processing loss risk. Furthermore, it analyzes abnormal loss risks within the overall tea loss to reduce overall loss, and conducts in-depth process loss risk monitoring analysis of abnormal tea loss rates to manage potentially risky processes requiring adjustment and reduce processing loss risks in those processes. From a storage perspective, it analyzes the moisture content of the tea to avoid storing tea with excessively different moisture content in the same area, which could increase the risk of abnormal temperature control and thus increase storage loss risk. Simultaneously, it progressively analyzes from a storage control perspective to adjust current storage control parameters, thereby improving the storage safety of tea.

[0004] The objective of this invention can be achieved through the following technical solution: a multi-sensor-based intelligent monitoring system for tea production, comprising a tea production monitoring center, a loss processing unit, a loss assessment unit, a single-point monitoring unit, a storage 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 steps 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 perform normal loss safety supervision 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 perform process loss risk supervision analysis on the collected abnormal tea loss rate to obtain a control signal or a normal signal. When a stable signal is generated, the storage management unit is used to classify and analyze the collected moisture content, and to process the obtained batch moisture content to obtain a normal signal or a temperature control signal. When a normal signal is generated, the warehouse control management unit is used to perform warehouse control loss risk analysis on the collected warehouse control data, compare and analyze the obtained warehouse control defect coefficient and warehouse loss rate, and obtain a warehouse stability signal or a warehouse control signal.

[0005] Preferably, the processing loss assessment and feedback analysis process is as follows: The monitoring period for the production and processing of tea leaves to be processed was collected, and the monitoring period for the production and processing of tea leaves to be processed was set as a time threshold. The tea loss rate of the tea to be processed within the time threshold is obtained. The processing steps include fixation, rolling and fermentation. The tea loss rate of each processing step is judged and processed, and the output result of the tea loss rate judgment processing of each processing step is obtained. The output result includes qualified and unqualified. The number of qualified tea loss rate judgment processing output results is obtained, and the number of qualified tea loss rate judgment processing output results is judged and processed to obtain qualified signal or unqualified signal.

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

[0007] Preferably, the normal wear and tear safety monitoring and analysis process is as follows: The total loss rate of tea leaves in each processing step within the time threshold is obtained, and the total loss rate of tea leaves in each processing step is set as the overall loss rate. The normal loss rate corresponding to the overall loss rate is obtained, and then the value obtained by subtracting the normal loss rate from the overall loss rate is obtained. The value obtained by subtracting the normal loss rate from the overall loss rate is then processed to obtain a stable signal or a risk signal. Normal loss rate represents the total loss of tea leaves under normal loss operations in each processing step. Normal loss operations include normal pressing, normal screening, and normal moisture evaporation.

[0008] Preferably, the process for monitoring and analyzing the risk of process loss is as follows: The abnormal tea loss rate is obtained from the tea loss rate of each processing step within a time threshold. The abnormal tea loss rate represents the loss rate caused by processing defects in the processing steps, including equipment failure and operational errors. Then, the abnormal tea loss rate is obtained by subtracting the abnormal tea loss rate from the tea loss rate, and the value obtained by subtracting the abnormal tea loss rate from the tea loss rate is further processed for discrimination. If the value obtained by subtracting the abnormal tea loss rate from the tea loss rate is less than the corresponding preset threshold, the corresponding process is determined to be a process to be regulated, and a regulation signal is generated 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, the corresponding process is determined to be a stable process, and a normal signal is generated at the same time.

[0009] Preferably, the classification and storage management analysis process is as follows: the tea leaves to be processed corresponding to the stable signal are set as stored tea leaves, i portions of stored tea leaves of the same weight are randomly selected, where i is a natural number greater than zero, the moisture content of each portion of stored tea leaves is obtained, and then a set A of moisture content of stored tea leaves is constructed. The discrete coefficient of the moisture content set A is obtained, and the discrete coefficient of the moisture content set A is discriminated to obtain a feedback signal or a zoned storage signal.

[0010] Preferably, when a feedback signal is generated, the batch moisture content of the stored tea within the time threshold is obtained. The batch moisture content refers to the average moisture mass percentage of the current batch of tea. The batch moisture content is then processed for discrimination. If the batch moisture content is less than or equal to the preset batch moisture content threshold, a normal signal is generated. If the batch moisture content is greater than the preset batch moisture content threshold, a temperature control signal is generated.

[0011] Preferably, the warehouse control loss risk analysis process is as follows: obtain warehouse control data for the corresponding storage area of ​​stored tea within a time threshold. The warehouse control data includes the warehouse control defect coefficient and the storage loss rate. The warehouse control defect coefficient represents the proportion of the number of temperature or humidity control delays in the total number of temperature and humidity control operations for stored tea. The warehouse control defect coefficient and the storage loss rate are compared and analyzed to obtain a storage stability signal or a storage control signal.

[0012] The beneficial effects of this invention are as follows: (1) This invention monitors and analyzes tea processing and storage to reduce the risk of tea loss. It analyzes the tea loss rate from the perspective of processing to intuitively understand whether the overall tea processing loss is normal, so as to adjust the tea processing procedures to reduce the risk of tea processing loss. At the same time, it further analyzes the abnormal loss risk in the overall tea loss to reduce tea loss. It also conducts in-depth process loss risk supervision and analysis on abnormal tea loss rate to manage the processes to be controlled with risk and reduce the processing loss risk of the processes to be controlled. (2) This invention analyzes the moisture content of tea from the perspective of storage, so as to store tea with large differences in moisture content in different areas, thereby avoiding the risk of abnormal temperature control caused by storing tea with large differences in moisture content in the same area, which would increase the risk of storage loss of tea. At the same time, it analyzes from the perspective of storage control in a progressive manner, so as to adjust the current storage control parameters to improve the storage safety of tea and reduce the risk of storage loss rate of tea. Attached Figure Description

[0013] The invention will now be further described with reference to the accompanying drawings; Figure 1 This is a flowchart of the system of the present invention; Figure 2 This is a partial analysis reference diagram of Embodiment 1 of the present invention. Detailed Implementation

[0014] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0015] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments; Example 1: Please see Figures 1 to 2As shown, 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 assessment unit, a single-point monitoring unit, a storage management unit, a warehouse control management unit, and a back-end processing unit. The tea production monitoring center and the loss processing unit have a one-way communication connection, the loss processing unit and the loss assessment unit have a one-way communication connection, the loss assessment unit and the single-point monitoring unit and the storage management unit have a one-way communication connection, the single-point monitoring unit and the back-end processing unit have a one-way communication connection, the storage management unit and the warehouse control management unit have a one-way communication connection, and the warehouse control management unit and the back-end processing unit have a one-way communication connection. The tea production monitoring center is used to retrieve the tea loss rate of each processing step of the tea to be processed, and send the tea loss rate to the loss processing unit for processing loss assessment and feedback analysis. This allows for a direct understanding of whether the overall processing loss of the tea to be processed is normal, so that the processing steps can be adjusted to reduce the risk of processing loss. The specific processing loss assessment and feedback analysis process is as follows: The monitoring period for the production and processing of tea leaves to be processed was collected, and the monitoring period for the production and processing of tea leaves to be processed was set as a time threshold. The system obtains the tea loss rate for each processing step within a time threshold, including steps such as fixation, rolling, and fermentation. It then performs discrimination processing on the tea loss rate for each processing step, obtaining the output results of the discrimination processing for each processing step. The output results include "qualified" and "unqualified," and the system obtains the number of qualified tea loss rate results. Finally, it performs discrimination processing on the number of qualified tea loss rate results. If the output of the tea loss rate discrimination process is that the number of qualified tea leaves is equal to the preset threshold, then a qualified signal is generated. If the output of the tea loss rate discrimination processing is that the number of qualified teas is not equal to the preset threshold, an unqualified signal is generated and sent to the back-end processing unit. After receiving the qualified or unqualified signal, the back-end processing unit immediately performs the preset warning operation corresponding to the qualified or unqualified signal, so as to intuitively understand whether the overall processing loss of the tea to be processed is normal, so as to adjust the processing procedure of the tea to be processed and reduce the processing loss risk of the tea to be processed. Pass / Fail: The tea loss rate is compared with the preset tea loss rate threshold of the corresponding processing step. If the tea loss rate is less than the preset tea loss rate threshold of the corresponding processing step, it is judged as pass / fail. If the tea loss rate is greater than or equal to the preset tea loss rate threshold of the corresponding processing step, it is judged as fail / fail. When a qualified signal is generated, the loss assessment unit performs a normal loss safety monitoring analysis on the overall loss rate collected, in order to determine whether the risk of abnormal loss of the tea leaves to be processed is too high under normal processing loss conditions. The specific normal loss safety monitoring analysis process is as follows: The process involves obtaining the sum of tea loss rates corresponding to each processing step within a time threshold, setting this sum as the overall loss rate, obtaining the normal loss rate corresponding to the overall loss rate, and then subtracting the normal loss rate from the overall loss rate. Finally, this subtraction is used to determine the appropriate value. 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 and a stable signal or risk signal is sent to the back-end processing unit. After receiving the stable signal or risk signal, the back-end 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 and reduce the loss of tea leaves to be processed. Normal loss rate represents the total loss of tea leaves under normal loss operations in each processing step. Normal loss operations include normal pressing, normal screening, and normal moisture evaporation. When a risk signal is generated, the single-point monitoring unit is used to perform process loss risk monitoring and analysis on the collected abnormal tea loss rate, so as to manage the processes to be controlled that have risks and reduce the processing loss risk of the processes to be controlled. The specific process loss risk monitoring and analysis process is as follows: The abnormal tea loss rate is obtained from the tea loss rate of each processing step within a time threshold. The abnormal tea loss rate represents the loss rate caused by processing defects in the processing steps, such as equipment failure and operational errors. Then, the abnormal tea loss rate is obtained by subtracting the abnormal tea loss rate from the tea loss rate, and the value obtained by subtracting the abnormal tea loss rate from the tea loss rate is further processed for discrimination. If the value obtained by subtracting the abnormal tea loss rate from the tea loss rate is less than the corresponding preset threshold, the corresponding process is determined to be a process to be regulated, and a regulation signal is generated 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, the corresponding process is determined to be a stable process. At the same time, a normal signal is generated, and the control signal or normal signal is sent to the back-end processing unit. After receiving the control signal or normal signal, the back-end processing unit immediately performs the preset early warning operation corresponding to the control signal or normal signal in order to manage the process to be controlled with risk and reduce the processing loss risk of the process to be controlled.

[0016] Example 2: When a stable signal is generated, the storage management unit performs classification and storage management analysis on the collected moisture content. This allows for the partitioning and storage of tea with significantly different moisture contents, preventing the increased risk of temperature control abnormalities caused by storing tea with large differences in moisture content in the same area, which would otherwise increase the risk of storage losses. The specific classification and storage management analysis process is as follows: The stable signal corresponds to the tea leaves to be processed, which are then designated as stored tea leaves. I portions of stored tea leaves of equal weight are randomly selected, where i is a natural number greater than zero. The moisture content of each portion of stored tea leaves is obtained, and a set A of moisture contents of stored tea leaves is constructed. The discrete coefficients of the moisture content set A are then obtained, and the discrete coefficients of the moisture content set A are subjected to discrimination processing. If the discrete coefficient of the water content set A is less than the preset threshold, a feedback signal is generated; If the dispersion coefficient of the moisture content set A is greater than or equal to the preset threshold, a partitioned storage signal is generated and sent to the back-end processing unit. After receiving the partitioned storage signal, the back-end processing unit immediately displays the preset warning text corresponding to the partitioned storage signal so as to partition the stored tea with excessively different moisture content and avoid increasing the risk of temperature control conflict caused by storing stored tea with excessively different moisture content in the same area. When a feedback signal is generated, the batch moisture content of the stored tea within the time threshold is obtained. The batch moisture content refers to the average moisture mass percentage of the current batch of tea. The batch moisture content is then processed. If the batch moisture content is less than or equal to the preset batch moisture content threshold, a normal signal is generated. If the batch moisture content is greater than the preset batch moisture content threshold, a temperature control signal is generated. The normal signal or temperature control signal is then sent to the back-end processing unit. Upon receiving the normal signal or temperature control signal, the back-end processing unit immediately performs the preset warning operation corresponding to the normal signal or temperature control signal. The preset warning operation corresponding to the normal signal is: continue monitoring. The preset warning operation corresponding to the temperature control signal is: adjust the storage temperature. This improves the storage quality of the stored tea, reduces the risk of mold growth, and helps reduce the risk of storage loss. When a normal signal is generated, the warehouse control management unit performs a warehouse loss risk analysis on the collected warehouse control data in order to adjust the current warehouse control parameters, thereby improving the storage safety of stored tea and reducing the risk of storage loss. The specific warehouse loss risk analysis process is as follows: The warehouse control data for the corresponding storage area of ​​stored tea within the time threshold is obtained. The warehouse control data includes the warehouse control defect coefficient and the storage loss rate. The warehouse control defect coefficient represents the proportion of temperature or humidity control delays in the total number of temperature and humidity control operations for stored tea. The warehouse control defect coefficient and the storage loss rate are compared and analyzed. If the warehouse control defect coefficient is less than the preset warehouse control defect coefficient threshold and the warehouse loss rate is less than the preset warehouse loss rate threshold, then a warehouse 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 warehouse loss rate is greater than or equal to the preset warehouse loss rate threshold, a warehouse control signal is generated and the warehouse stability signal or warehouse control signal is sent to the back-end processing unit. After receiving the warehouse stability signal or warehouse control signal, the back-end processing unit immediately performs the preset early warning operation corresponding to the warehouse stability signal or warehouse control signal in order to adjust the current warehouse control parameters, so as to improve the storage safety of the stored tea and reduce the risk of storage loss rate of the stored tea. In summary, this invention monitors and analyzes tea processing and storage to reduce the risk of tea loss. From a processing perspective, it analyzes the tea loss rate to intuitively understand whether the overall processing loss is normal, allowing for adjustments to processing procedures to reduce processing loss risk. Furthermore, it analyzes abnormal loss risks within the overall tea loss to reduce overall loss, and conducts in-depth process loss risk monitoring analysis of abnormal tea loss rates to manage potentially risky processes requiring adjustment and reduce processing loss risk in those processes. From a storage perspective, it analyzes the moisture content of tea to allow for zoned storage of tea with significantly different moisture contents, preventing increased risk of temperature control abnormalities due to storing tea with large moisture content differences in the same area, thus increasing the risk of storage loss. Finally, it progressively analyzes from a storage control perspective to adjust current storage control parameters, improving storage safety and reducing storage loss risk.

[0017] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value, it is acceptable.

[0018] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A multi-sensor-based intelligent monitoring system for tea production, characterized in that: It includes a tea production monitoring center, a loss processing unit, a loss assessment 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 steps 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 perform normal loss safety supervision 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 perform process loss risk supervision analysis on the collected abnormal tea loss rate to obtain a control signal or a normal signal. When a stable signal is generated, the storage management unit is used to classify and analyze the collected moisture content, and to process the obtained batch moisture content to obtain a normal signal or a temperature control signal. When a normal signal is generated, the warehouse control management unit is used to perform warehouse control loss risk analysis on the collected warehouse control data, compare and analyze the obtained warehouse control defect coefficient and warehouse loss rate, and obtain a warehouse stability signal or a warehouse control signal. The normal wear and tear safety monitoring and analysis process is as follows: The total loss rate of tea leaves in each processing step within the time threshold is obtained, and the total loss rate of tea leaves in each processing step is set as the overall loss rate. The normal loss rate corresponding to the overall loss rate is obtained, and then the value obtained by subtracting the normal loss rate from the overall loss rate is obtained. The value obtained by subtracting the normal loss rate from the overall loss rate is then processed to obtain a stable signal or a risk signal. Normal loss rate represents the total loss of tea leaves under normal loss operations in each processing step. Normal loss operations include normal pressing, normal screening, and normal moisture evaporation. The process for monitoring and analyzing the risk of process loss is as follows: The abnormal tea loss rate is obtained from the tea loss rate of each processing step within a time threshold. The abnormal tea loss rate represents the loss rate caused by processing defects in the processing steps, including equipment failure and operational errors. Then, the abnormal tea loss rate is obtained by subtracting the abnormal tea loss rate from the tea loss rate, and the value obtained by subtracting the abnormal tea loss rate from the tea loss rate is further processed for discrimination. If the value obtained by subtracting the abnormal tea loss rate from the tea loss rate is less than the corresponding preset threshold, the corresponding process is determined to be a process to be controlled, and a control signal is generated 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, the corresponding process is determined to be a stable process, and a normal signal is generated at the same time. The classification and storage management analysis process is as follows: Set the tea leaves to be processed corresponding to the stable signal as stored tea leaves, randomly select i portions of stored tea leaves of the same weight, where i is a natural number greater than zero, obtain the moisture content of each portion of stored tea leaves, and then construct a set A of moisture content of stored tea leaves, obtain the discrete coefficient of moisture content set A, and perform discrimination processing on the discrete coefficient of moisture content set A to obtain feedback signals or zoned storage signals; When a feedback signal is generated, the batch moisture content of the stored tea within the time threshold is obtained. The batch moisture content refers to the average moisture mass percentage of the current batch of tea. The batch moisture content is then judged. If the batch moisture content is less than or equal to the preset batch moisture content threshold, a normal signal is generated. If the batch moisture content is greater than the preset batch moisture content threshold, a temperature control signal is generated. The warehouse control loss risk analysis process is as follows: Obtain warehouse control data for the corresponding storage area of ​​stored tea within the time threshold. The warehouse control data includes the warehouse control defect coefficient and the storage loss rate. The warehouse control defect coefficient represents the proportion of the number of temperature or humidity control delays in the total number of temperature and humidity control operations for stored tea. The warehouse control defect coefficient and the storage loss rate are compared and analyzed to obtain the storage stability signal or the storage management signal.

2. The intelligent monitoring system for tea production based on multi-sensor processing according to claim 1, characterized in that, The processing loss assessment and feedback analysis process is as follows: The monitoring period for the production and processing of tea leaves to be processed was collected, and the monitoring period for the production and processing of tea leaves to be processed was set as a time threshold. The tea loss rate of the tea to be processed within the time threshold is obtained. The processing steps include fixation, rolling and fermentation. The tea loss rate of each processing step is judged and processed, and the output result of the tea loss rate judgment processing of each processing step is obtained. The output result includes qualified and unqualified. The number of qualified tea loss rate judgment processing output results is obtained, and the number of qualified tea loss rate judgment processing output results is judged and processed to obtain qualified signal or unqualified signal.

3. The intelligent monitoring system for tea production based on multi-sensor processing according to claim 2, characterized in that, Pass / Fail: The tea loss rate is compared with the preset tea loss rate threshold of the corresponding processing step. If the tea loss rate is less than the preset tea loss rate threshold of the corresponding processing step, it is judged as pass / fail. If the tea loss rate is greater than or equal to the preset tea loss rate threshold of the corresponding processing step, it is judged as fail / fail.

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