A black tea processing equipment supervision system

Abstract

The invention discloses a black tea processing equipment supervision system, which relates to the field of food processing technology. By real-time monitoring of temperature fluctuation parameters Tw and humidity fluctuation parameters Hw in fermentation and drying processes, a temperature and humidity control analysis module and sensor data are used to timely capture subtle environmental changes, and environmental adjustment is performed according to a fluctuation response speed coefficient Wrs and a temperature and humidity adjustment coefficient Twhc, thereby solving the problem of insufficient sensitivity of the system to parameter fluctuations. The sensor detection unit is used to evaluate the durability Cnj, offset Cpy and response time Cxy of the sensor in real time, thereby ensuring the accuracy and stability of the sensor in a high temperature and high humidity environment, thereby avoiding the impact of sensor failure on quality monitoring. At the same time, a data processing module performs noise filtering and standardization processing on environmental data to ensure data accuracy, thereby solving the problem of insufficient system data integration, thereby making data sharing between processes smooth, and improving overall production efficiency and black tea quality stability.

Description

Technical Field

[0001] The invention relates to the technical field of food processing, in particular to a black tea processing equipment monitoring system. Background Art

[0002] The black tea processing equipment supervision system originated from the automation needs in the traditional tea processing process. With the expansion of the tea market and the improvement of quality standards, traditional manual operation methods have gradually failed to meet the efficiency and consistency requirements. In the mid-to-late 20th century, preliminary mechanized equipment was introduced into the black tea processing links, such as withering, rolling and fermentation. With the development of industrial automation and intelligent control technology, modern black tea processing equipment supervision systems have gradually integrated sensors, data acquisition and remote monitoring technologies, realizing precise control and quality tracking of the processing process, and improving product consistency and production efficiency.

[0003] However, when the black tea processing equipment supervision system is applied to the fermentation and drying processes, there are the following technical disadvantages:

[0004] 1. Insufficient sensitivity to parameter fluctuations: Parameters such as temperature and humidity during the fermentation and drying process are crucial to the quality of tea. However, the existing regulatory system responds slowly to tiny parameter fluctuations, making it difficult to accurately control the optimal fermentation and drying conditions in actual operations, affecting the stability of the tea's taste and aroma.

[0005] 2. Limitations of sensor accuracy and durability: Under long-term high temperature and high humidity conditions, the accuracy of the sensor may decrease, and deviations or failures may occur, resulting in the system being unable to obtain accurate data, affecting the quality monitoring of the fermentation and drying stages. This problem is particularly evident during high-load operation.

[0006] 3. Insufficient system data integration: The current system is still insufficient in real-time data integration and analysis of the fermentation and drying processes. It is unable to quickly identify abnormal situations and make effective adjustments. In addition, the data sharing and linkage between the various processes are not close enough, resulting in a delayed system response and affecting overall production efficiency. Summary of the invention

[0007] In view of the deficiencies in the prior art, the present invention provides a black tea processing equipment monitoring system to solve the technical problems in the background technology of insufficient sensitivity to parameter fluctuations, limitations on sensor accuracy and durability, and insufficient system data integration.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a black tea processing equipment monitoring system, including a process division module, an environmental parameter monitoring module, a data processing module, a temperature and humidity control analysis module and an intelligent management module;

[0009] The process division module is used to divide the black tea processing area into several groups of monitoring areas before the fermentation and drying processes in the black tea processing flow, and set parameter monitoring points in each monitoring area and deploy sensors at the same time;

[0010] The environmental parameter monitoring module is used to monitor and record the fermentation and drying process of black tea in each monitoring area, and collect and record environmental related data in real time; at the same time, the status of the sensor in each monitoring area is monitored in real time and the related data is recorded, and finally the status of the sensor is tested and evaluated;

[0011] The data processing module is used to convert the environment-related data from the environmental parameter monitoring module into digital signals; by converting the analog signals in the environment-related data, then processing the digital signals in the environment-related data, and finally extracting features from the processed environment-related data, and finally transmitting them to the temperature and humidity control analysis module;

[0012] The temperature and humidity control analysis module is used to construct a parameter fluctuation evaluation model, and obtain the temperature fluctuation parameter Tw and humidity fluctuation parameter Hw in the corresponding monitoring area through calculation based on the processed environment-related data; and obtain and evaluate the fluctuation response speed coefficient Wrs by extracting sensor state-related data and correlating the temperature fluctuation parameter Tw and the humidity fluctuation parameter Hw. If the fluctuation response speed coefficient Wrs is lower than the preset response threshold R, a sensor abnormality warning instruction is issued; finally, the temperature and humidity debugging coefficient Twhc is obtained through calculation;

[0013] The intelligent management module is used to compare and evaluate the temperature and humidity adjustment coefficient Twhc in the monitoring area, take environmental adjustment measures in the corresponding monitoring area according to the evaluation results, and adjust and manage the quality of the fermentation and drying process.

[0014] Preferably, the process division module draws the black tea processing area into a three-dimensional diagram through CAD drawing software, and divides it into several monitoring areas according to the physical space of each process corresponding to the black tea processing area, and then marks them, specifically JC1, JC2, ..., JCn, where n is the total number of monitoring areas, and JC represents the monitoring area; then parameter monitoring points are set in each monitoring area, and sensors are deployed in the parameter monitoring points; the sensors include temperature sensors, humidity sensors, gas sensors and environmental sensors.

[0015] Preferably, the environmental parameter monitoring module includes a temperature and humidity acquisition unit and a sensor detection unit;

[0016] The temperature and humidity acquisition unit is used to deploy precision sensors in each monitoring area, and to monitor and record in real time the environmental data related to the fermentation and drying process of black tea in each monitoring area, wherein the environmental data includes the temperature and humidity related data of the environment; and then store and transmit the temperature and humidity related data of the environment during the fermentation and drying process of black tea to the data processing module.

[0017] Preferably, the sensor detection unit is used to detect and evaluate the performance status of the sensor in the monitoring area, by real-time recording and collecting the durability Cnj, offset Cpy and response time Cxy of the sensor in a fixed period, and using the following formula to calculate and obtain the sensor performance index Cgxn:

[0018] ;

[0019] The preset state threshold Q is compared with the sensor performance index Cgxn for evaluation. The specific evaluation contents are as follows:

[0020] If the sensor performance index Cgxn ≥ the state threshold Q, it means that the performance of the sensor in the current monitoring area is normal, and the current sensor continues to be used;

[0021] If the sensor performance index Cgxn is less than the state threshold Q, it means that the sensor performance in the current monitoring area is abnormal. At this time, the abnormal parameters are further found and recorded, and it is decided whether to calibrate, adjust or replace the sensor based on the abnormal parameters.

[0022] Preferably, the data processing module is used to receive environment-related data transmitted in the form of analog signals from the environmental parameter monitoring module, and then convert the analog signals of the environment-related data into digital signals; but the digital signals after the data conversion contain noise and abnormal data, and then the digital signals of the environment-related data are subjected to noise filtering and abnormal value detection and elimination, and finally data standardization and normalization processing; the environment-related data after preprocessing are stored, and before the environment-related data is transmitted to the next step, the consistency of the preprocessed environment-related data is verified.

[0023] Preferably, the temperature and humidity control analysis module includes a fluctuation calculation unit, a fluctuation evaluation unit and a debugging coefficient fitting unit;

[0024] The fluctuation calculation unit is used to construct a parameter fluctuation assessment model, obtain the temperature average value Tavg and the humidity average value Havg through the parameter fluctuation assessment model, and extract environmental related data to calculate the temperature fluctuation parameter Tw and the humidity fluctuation parameter Hw in the monitoring area through the following formulas:

[0025] ;

[0026] ;

[0027] Wherein, Tmax represents the highest temperature in the monitoring area within a fixed period of time in the environment-related data, and Tmin represents the lowest temperature in the monitoring area within a fixed period of time in the environment-related data;

[0028] Hmax represents the highest humidity in the monitoring area within a fixed period of time in the environment-related data, and Hmin represents the lowest humidity in the monitoring area within a fixed period of time in the environment-related data;

[0029] By extracting the durability Cnj, offset Cpy and response time Cxy from the sensor state related data, fitting with the temperature fluctuation parameter Tw and humidity fluctuation parameter Hw, the fluctuation response speed coefficient Wrs is calculated by the following formula:

[0030] ;

[0031] In the formula, Cnj i represents the durability of the i-th sensor, and n represents the total number of sensors installed in the entire system.

[0032] Preferably, the fluctuation evaluation unit is used to compare and evaluate the preset response threshold R with the fluctuation response speed coefficient Wrs, and issue an abnormal warning instruction according to the evaluation content of the fluctuation response speed coefficient Wrs. The specific content is as follows:

[0033] When the fluctuation response speed coefficient Wrs ≥ the response threshold R, it means that the system responds normally to environmental fluctuations, including changes in temperature and humidity. At this time, there is no need to issue an abnormal warning instruction, and the system operates normally;

[0034] When the fluctuation response speed coefficient Wrs is less than the response threshold R, it means that the system cannot respond normally to environmental fluctuations. The specific abnormal reasons include the sensor response time is too long, the offset is large, or the durability is insufficient, resulting in an untimely response to environmental changes. At this time, an abnormal warning instruction is issued and the temperature and humidity debugging coefficient Twhc is further calculated.

[0035] Preferably, the debugging coefficient fitting unit obtains the environmental change rate Hbh by reading the sensor, then collects the system historical data to obtain the historical adjustment fluctuation value Lbdz, and fits the temperature fluctuation parameter Tw, the humidity fluctuation parameter Hw and the offset Cpy, and obtains the temperature and humidity debugging coefficient Twhc by calculating the following formula:

[0036] .

[0037] Preferably, the intelligent management module includes a debugging coefficient evaluation unit and an environment adjustment unit;

[0038] The debugging coefficient evaluation unit evaluates the temperature and humidity debugging coefficient Twhc by presetting a first debugging threshold value P1 and a second debugging threshold value P2, and the first debugging threshold value P1> the second debugging threshold value P2. The specific evaluation content is as follows:

[0039] When the temperature and humidity adjustment coefficient Twhc> the first adjustment threshold P1, a first evaluation result is generated, indicating that the temperature and humidity fluctuation amplitude is abnormal and the current environmental conditions have exceeded the normal control range;

[0040] When the first debugging threshold value P1 ≥ the temperature and humidity debugging coefficient Twhc ≥ the second debugging threshold value P2, a second evaluation result is generated, indicating that the temperature and humidity fluctuation range is normal and the current environmental conditions are within the normal control range;

[0041] When the second debugging threshold value P2> the temperature and humidity debugging coefficient Twhc, a third evaluation result is generated, indicating that the temperature and humidity fluctuation amplitude is abnormal and the current environmental conditions are lower than the normal control range.

[0042] Preferably, the environment adjustment unit is used to take environment adjustment measures according to the evaluation result of the temperature and humidity adjustment coefficient Twhc, and adjust and manage the quality during the fermentation and drying process. The specific environment adjustment means and adjustment and management measures are as follows:

[0043] When the first evaluation result is generated, the environmental adjustment measures taken include starting the temperature control equipment and humidification equipment to forcibly adjust the temperature and humidity, and starting the ventilation equipment to promote air circulation; the adjustment and management measures include real-time monitoring of the fermentation progress and adjustment of the drying time;

[0044] When the second evaluation result is generated, the environmental adjustment measures taken include maintaining stable temperature and humidity and stable equipment power; adjustment and management measures include standardized fermentation and drying control and continuous monitoring and recording;

[0045] When the third evaluation result is generated, the environmental regulation measures taken include raising the temperature and reducing the humidity; the adjustment and management measures include extending the fermentation time by 3% on the original basis and adjusting the drying curve.

[0046] The present invention provides a black tea processing equipment monitoring system, which has the following beneficial effects:

[0047] (1) A black tea processing equipment monitoring system can capture subtle environmental changes in real time by accurately monitoring and analyzing the temperature fluctuation parameter Tw and the humidity fluctuation parameter Hw during the fermentation and drying process; the temperature and humidity control analysis module extracts features from environmental data, and fits the fluctuation response speed coefficient Wrs based on the sensor status related data and the environmental fluctuation parameters. If the fluctuation response speed coefficient Wrs is lower than the preset response threshold R, the system will promptly issue an abnormal warning and adjust the environment; the intelligent management module adjusts the temperature control equipment, humidity adjustment equipment and ventilation system in real time according to the evaluation results of the temperature and humidity adjustment coefficient Twhc, so that the system can quickly respond to tiny temperature and humidity fluctuations, ensuring that the temperature and humidity of the tea leaves during the fermentation and drying process are kept within the optimal range, thereby improving the stability of the taste and aroma of the black tea.

[0048] (2) A black tea processing equipment monitoring system. The system uses a sensor detection unit to detect and evaluate the durability Cnj, offset Cpy and response time Cxy of the sensor in real time. The sensor performance index Cgxn is used to measure the status of the sensor. If the sensor performance index Cgxn is lower than the status threshold Q, the system will issue a warning for abnormal sensor parameters and take timely measures to calibrate, adjust or replace the sensor, thereby ensuring that the sensor can still maintain good accuracy and stability in a long-term high temperature and high humidity environment, avoiding the failure of quality monitoring in the fermentation and drying links due to sensor failure, and ensuring the quality of the tea processing process.

[0049] (3) This black tea processing equipment monitoring system converts the analog signal from the environmental parameter monitoring module into a digital signal through the data processing module, and performs noise filtering, outlier detection and elimination on the data. At the same time, the data is standardized and normalized to ensure the accuracy and consistency of environmental related data; through the temperature and humidity control analysis module, the processed data is fitted with the sensor status data to obtain the fluctuation response speed coefficient Wrs and the temperature and humidity adjustment coefficient Twhc, and the adjustment coefficients of each monitoring area are compared and evaluated through the intelligent management module, thereby realizing data sharing and linkage between the fermentation and drying processes, quickly identifying and adjusting abnormal situations, greatly improving the response speed and accuracy of the system during the fermentation and drying process, and ensuring overall production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 The present invention is a schematic diagram of the framework structure of a black tea processing equipment monitoring system. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] Example 1

[0053] See also Figure 1 , the present invention provides a black tea processing equipment supervision system, including a process division module, an environmental parameter monitoring module, a data processing module, a temperature and humidity control analysis module and an intelligent management module;

[0054] The process division module is used to divide the black tea processing area into several groups of monitoring areas before the fermentation and drying processes in the black tea processing flow, and set parameter monitoring points in each monitoring area and deploy sensors at the same time;

[0055] The environmental parameter monitoring module is used to monitor and record the fermentation and drying process of black tea in each monitoring area, and collect and record environmental related data in real time; at the same time, the status of the sensor in each monitoring area is monitored in real time and the related data is recorded, and finally the status of the sensor is tested and evaluated;

[0056] The data processing module is used to convert the environment-related data from the environmental parameter monitoring module into digital signals; by converting the analog signals in the environment-related data, then processing the digital signals in the environment-related data, and finally extracting features from the processed environment-related data, and finally transmitting them to the temperature and humidity control analysis module;

[0057] The temperature and humidity control analysis module is used to construct a parameter fluctuation evaluation model, and obtain the temperature fluctuation parameter Tw and humidity fluctuation parameter Hw in the corresponding monitoring area through calculation based on the processed environment-related data; and obtain and evaluate the fluctuation response speed coefficient Wrs by extracting sensor state-related data and correlating the temperature fluctuation parameter Tw and the humidity fluctuation parameter Hw. If the fluctuation response speed coefficient Wrs is lower than the preset response threshold R, a sensor abnormality warning instruction is issued; finally, the temperature and humidity debugging coefficient Twhc is obtained through calculation;

[0058] The intelligent management module is used to compare and evaluate the temperature and humidity adjustment coefficient Twhc in the monitoring area, take environmental adjustment measures in the corresponding monitoring area according to the evaluation results, and adjust and manage the quality of the fermentation and drying process.

[0059] In this embodiment, the process division module realizes accurate monitoring and management of the environment during the fermentation and drying process by dividing the monitoring area and setting the parameter monitoring points; the environmental parameter monitoring module ensures the accuracy of the temperature and humidity data and sensor performance by real-time collection and recording of the environment-related data and sensor status-related data of each monitoring area, and detecting and evaluating the sensor status; the data processing module converts the analog signal into a digital signal, and performs preprocessing and storage to make the data transmission stable and accurate; the temperature and humidity control analysis module calculates the temperature fluctuation parameter Tw and the humidity fluctuation parameter Hw, and obtains the fluctuation response speed coefficient Wrs in combination with the sensor status-related data, and issues an abnormal warning when the fluctuation response speed coefficient Wrs is lower than the preset response threshold R, so as to ensure the timeliness of the system's response to environmental changes; the intelligent management module compares and evaluates the temperature and humidity debugging coefficient Twhc, and takes environmental adjustment measures according to the evaluation results to ensure the stability of temperature and humidity control during the fermentation and drying process, and accurately manage the production quality of black tea.

[0060] Example 2

[0061] The process division module draws the black tea processing area into a three-dimensional diagram through CAD drawing software, and divides it into several monitoring areas according to the physical space of each process corresponding to the black tea processing area, and then marks them, specifically JC1, JC2, ..., JCn, where n is the total number of monitoring areas, and JC represents the monitoring area; then parameter monitoring points are set in each monitoring area, and sensors are deployed in the parameter monitoring points; the sensors include temperature sensors, humidity sensors, gas sensors and environmental sensors.

[0062] In this embodiment, through the implementation of the process division module, the black tea processing area is drawn into a three-dimensional diagram using CAD drawing software, and is divided into several monitoring areas according to the physical space of each process, such as JC1, JC2...JCn, which can ensure the reasonable planning and management of the space of each processing link; by setting monitoring points and deploying temperature sensors, humidity sensors, gas sensors and environmental sensors at each monitoring point, it is possible to achieve comprehensive and real-time monitoring of environmental factors during the fermentation and drying process of black tea; the combined use of various sensors helps to improve the accuracy and sensitivity of the system, ensuring that key parameters such as temperature, humidity, and gas composition in the processing process can be accurately monitored and controlled; such division and monitoring methods not only improve the management efficiency of the system, but also ensure the quality stability and consistency of the black tea processing process.

[0063] Example 3

[0064] The environmental parameter monitoring module includes a temperature and humidity acquisition unit and a sensor detection unit;

[0065] The temperature and humidity acquisition unit is used to deploy precision sensors in each monitoring area, and to monitor and record in real time the environmental data related to the fermentation and drying process of black tea in each monitoring area, wherein the environmental data includes the temperature and humidity related data of the environment; and then store and transmit the temperature and humidity related data of the environment during the fermentation and drying process of black tea to the data processing module.

[0066] The sensor detection unit is used to detect and evaluate the performance of the sensor in the monitoring area. By real-time recording and collecting the durability Cnj, offset Cpy and response time Cxy of the sensor in a fixed period, the sensor performance index Cgxn is calculated using the following formula:

[0067] ;

[0068] The preset state threshold Q is compared with the sensor performance index Cgxn for evaluation. The specific evaluation contents are as follows:

[0069] If the sensor performance index Cgxn ≥ the state threshold Q, it means that the performance of the sensor in the current monitoring area is normal, and the current sensor continues to be used;

[0070] If the sensor performance index Cgxn is less than the state threshold Q, it means that the sensor performance in the current monitoring area is abnormal. At this time, the abnormal parameters are further found and recorded, and it is decided whether to calibrate, adjust or replace the sensor based on the abnormal parameters.

[0071] In this embodiment, the environmental parameter monitoring module realizes real-time monitoring of temperature and humidity and comprehensive evaluation of sensor performance during the fermentation and drying process of black tea through the synergistic effect of the temperature and humidity acquisition unit and the sensor detection unit; the temperature and humidity acquisition unit records the temperature and humidity data of each monitoring area in real time by deploying precision sensors, and stores and transmits them to the data processing module to ensure that the environmental conditions are accurately reflected and the fermentation and drying process is precisely regulated; the sensor detection unit comprehensively evaluates the working state of the sensor by collecting the durability Cnj, offset Cpy and response time Cxy of the sensor; the acquisition of durability Cnj can reflect the stability and service life of the sensor in a long-term working environment; the acquisition of offset Cpy is used to judge the accuracy of the sensor during the measurement process; the acquisition of response time Cxy can measure the reaction speed of the sensor to environmental changes; by calculating the sensor performance index Cgxn and comparing and evaluating it with the preset state threshold Q, the system can accurately identify whether the sensor is in a normal working state, further improving the stability and reliability of the system; for abnormal sensors, the system can determine whether calibration, adjustment or replacement is required based on the collected parameters to ensure that the quality monitoring of the black tea processing process is not affected.

[0072] Example 4

[0073] The data processing module is used to receive the environment-related data transmitted in the form of analog signals from the environmental parameter monitoring module, and then convert the analog signals of the environment-related data into digital signals; however, the digital signals after the data conversion contain noise and abnormal data, and then the digital signals of the environment-related data are subjected to noise filtering, abnormal value detection and elimination, and finally data standardization and normalization processing; the environment-related data after preprocessing are stored, and before the environment-related data is transmitted to the next step, the consistency of the preprocessed environment-related data is verified.

[0074] In this embodiment, the data processing module realizes efficient transmission and processing of environment-related data by receiving analog signals from the environmental parameter monitoring module and converting them into digital signals; in the conversion process, the digital signal is subjected to noise filtering and outlier detection and elimination to ensure the accuracy of the data and avoid the noise and outliers in the environmental data from affecting the subsequent analysis; the subsequent data standardization and normalization processing ensures the consistency and comparability of data in different monitoring areas and different time periods; through the pre-processed data storage function, the system can save and retrieve historical environmental data in a timely manner, providing a reliable basis for subsequent analysis; at the same time, consistency verification is performed before data transmission to further ensure the integrity and reliability of the data and avoid the decision-making and regulation effects of the system affected by data errors; this module improves the system's monitoring accuracy and response speed of the black tea fermentation and drying process through an efficient data processing process, ensuring the effectiveness of environmental regulation and quality control of black tea processing.

[0075] Example 5

[0076] The temperature and humidity control analysis module includes a fluctuation calculation unit, a fluctuation evaluation unit and a debugging coefficient fitting unit;

[0077] The fluctuation calculation unit is used to construct a parameter fluctuation assessment model, obtain the temperature average value Tavg and the humidity average value Havg through the parameter fluctuation assessment model, and extract environmental related data to calculate the temperature fluctuation parameter Tw and the humidity fluctuation parameter Hw in the monitoring area through the following formulas:

[0078] ;

[0079] ;

[0080] Wherein, Tmax represents the highest temperature in the monitoring area within a fixed period of time in the environment-related data, and Tmin represents the lowest temperature in the monitoring area within a fixed period of time in the environment-related data;

[0081] Hmax represents the highest humidity in the monitoring area within a fixed period of time in the environment-related data, and Hmin represents the lowest humidity in the monitoring area within a fixed period of time in the environment-related data;

[0082] By extracting the durability Cnj, offset Cpy and response time Cxy from the sensor state related data, fitting with the temperature fluctuation parameter Tw and humidity fluctuation parameter Hw, the fluctuation response speed coefficient Wrs is calculated by the following formula:

[0083] ;

[0084] In the formula, Cnj i represents the durability of the i-th sensor, and n represents the total number of sensors installed in the entire system.

[0085] The fluctuation evaluation unit is used to compare and evaluate the preset response threshold R with the fluctuation response speed coefficient Wrs, and issue an abnormal warning instruction according to the evaluation content of the fluctuation response speed coefficient Wrs. The specific content is as follows:

[0086] When the fluctuation response speed coefficient Wrs ≥ the response threshold R, it means that the system responds normally to environmental fluctuations, including changes in temperature and humidity. At this time, there is no need to issue an abnormal warning instruction, and the system operates normally;

[0087] When the fluctuation response speed coefficient Wrs is less than the response threshold R, it means that the system cannot respond normally to environmental fluctuations. The specific abnormal reasons include the sensor response time is too long, the offset is large, or the durability is insufficient, resulting in insufficient response to environmental changes. At this time, an abnormal warning instruction is issued, and the temperature and humidity debugging coefficient Twhc is further calculated;

[0088] The debugging coefficient fitting unit obtains the environmental change rate Hbh by reading the sensor, then collects the system historical data to obtain the historical adjustment fluctuation value Lbdz, and fits the temperature fluctuation parameter Tw, humidity fluctuation parameter Hw and offset Cpy, and obtains the temperature and humidity debugging coefficient Twhc by the following formula:

[0089] .

[0090] In this embodiment, the temperature and humidity control analysis module realizes accurate analysis and response to environmental fluctuations in the black tea processing process through the collaboration of the fluctuation calculation unit, the fluctuation evaluation unit and the debugging coefficient fitting unit; the fluctuation calculation unit obtains the temperature average value Tavg and the humidity average value Havg by constructing a parameter fluctuation evaluation model, and calculates the temperature fluctuation parameter Tw and the humidity fluctuation parameter Hw, ensuring that the system can capture and quantify the temperature and humidity changes in the environment; by extracting the durability Cnj, offset Cpy and response time Cxy of the sensor, and fitting with the temperature fluctuation parameter Tw and the humidity fluctuation parameter Hw, the fluctuation response speed coefficient Wrs is calculated to determine whether the system can respond quickly Environmental fluctuations; the fluctuation assessment unit compares the fluctuation response speed coefficient Wrs with the preset response threshold R. If the fluctuation response speed coefficient Wrs is lower than the response threshold R, the system issues an abnormal warning, indicating that the sensor's response capability is insufficient; the debugging coefficient fitting unit reads the sensor environment change rate Hbh and the historical adjustment fluctuation value Lbdz, combined with the temperature and humidity fluctuation parameters and the sensor offset, to further calculate the temperature and humidity debugging coefficient Twhc, to ensure that the system can automatically optimize the adjustment strategy when the environment is abnormal; the collection and analysis of each parameter makes the system's response to environmental changes more timely and accurate, ensuring the stability and quality consistency of the black tea fermentation and drying process.

[0091] Example 6

[0092] The intelligent management module includes a debugging coefficient evaluation unit and an environment adjustment unit;

[0093] The debugging coefficient evaluation unit evaluates the temperature and humidity debugging coefficient Twhc by presetting a first debugging threshold value P1 and a second debugging threshold value P2, and the first debugging threshold value P1> the second debugging threshold value P2. The specific evaluation content is as follows:

[0094] When the temperature and humidity adjustment coefficient Twhc> the first adjustment threshold P1, a first evaluation result is generated, indicating that the temperature and humidity fluctuation amplitude is abnormal and the current environmental conditions have exceeded the normal control range;

[0095] When the first debugging threshold value P1 ≥ the temperature and humidity debugging coefficient Twhc ≥ the second debugging threshold value P2, a second evaluation result is generated, indicating that the temperature and humidity fluctuation range is normal and the current environmental conditions are within the normal control range;

[0096] When the second debugging threshold value P2> the temperature and humidity debugging coefficient Twhc, a third evaluation result is generated, indicating that the temperature and humidity fluctuation amplitude is abnormal and the current environmental conditions are below the normal control range;

[0097] The environmental adjustment unit is used to take environmental adjustment measures according to the evaluation results of the temperature and humidity adjustment coefficient Twhc, and to adjust and manage the quality of the fermentation and drying process. The specific environmental adjustment means and adjustment and management measures are as follows:

[0098] When the first evaluation result is generated, the environmental adjustment measures taken include starting the temperature control equipment and humidification equipment to forcibly adjust the temperature and humidity, and starting the ventilation equipment to promote air circulation; the adjustment and management measures include real-time monitoring of the fermentation progress and adjustment of the drying time;

[0099] When the second evaluation result is generated, the environmental adjustment measures taken include maintaining stable temperature and humidity and stable equipment power; adjustment and management measures include standardized fermentation and drying control and continuous monitoring and recording;

[0100] When the third evaluation result is generated, the environmental regulation measures taken include raising the temperature and reducing the humidity; the adjustment and management measures include extending the fermentation time by 3% on the original basis and adjusting the drying curve.

[0101] In this embodiment, the intelligent management module realizes automatic environmental adjustment and quality management during the fermentation and drying of black tea through the collaboration of the debugging coefficient evaluation unit and the environmental adjustment unit; the debugging coefficient evaluation unit can accurately evaluate the temperature and humidity fluctuations of the environment according to the temperature and humidity debugging coefficient Twhc through the preset first debugging threshold value P1 and the second debugging threshold value P2, and timely judge whether the current environmental conditions exceed the control range; when the temperature and humidity debugging coefficient Twhc exceeds the first debugging threshold value P1, the system generates a first evaluation result, starts the temperature control equipment, humidification equipment and ventilation equipment for forced adjustment, and ensures that the environment quickly recovers to a reasonable range; when the temperature and humidity debugging coefficient Twhc is between the first debugging threshold value P1 and the second debugging threshold value P2, the system generates a second evaluation result, maintains the temperature and humidity of the environment and the equipment power stable, and ensures the normal fermentation and drying; when the temperature and humidity debugging coefficient Twhc is lower than the second debugging threshold value P2, a third evaluation result is generated, and the system takes measures to increase the temperature and reduce the humidity, and prolongs the fermentation time and adjusts the drying curve to ensure the processing quality; this module ensures the high efficiency of environmental control and the consistency of the quality of black tea processing through precise evaluation and adjustment means.

[0102] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A black tea processing equipment supervision system, characterized in that: It includes process division module, environmental parameter monitoring module, data processing module, temperature and humidity control analysis module and intelligent management module; The process division module is used to divide the black tea processing area into several groups of monitoring areas before the fermentation and drying processes in the black tea processing flow, and set parameter monitoring points in each monitoring area and deploy sensors at the same time; The environmental parameter monitoring module is used to monitor and record the fermentation and drying process of black tea in each monitoring area, and collect and record environmental related data in real time; at the same time, the status of the sensor in each monitoring area is monitored in real time and the related data is recorded, and finally the status of the sensor is tested and evaluated; The data processing module is used to convert the environment-related data from the environmental parameter monitoring module into digital signals; by converting the analog signals in the environment-related data, then processing the digital signals in the environment-related data, and finally extracting features from the processed environment-related data, and finally transmitting them to the temperature and humidity control analysis module; The temperature and humidity control analysis module is used to construct a parameter fluctuation assessment model, and obtain the temperature fluctuation parameter Tw and humidity fluctuation parameter Hw in the corresponding monitoring area through calculation based on the processed environment-related data; and obtain and evaluate the fluctuation response speed coefficient Wrs by extracting sensor state-related data and correlating the temperature fluctuation parameter Tw and the humidity fluctuation parameter Hw. If the fluctuation response speed coefficient Wrs is lower than the preset response threshold R, a sensor abnormality warning instruction is issued externally; Finally, the temperature and humidity debugging coefficient Twhc is obtained by calculation; The temperature and humidity control analysis module includes a fluctuation calculation unit, a fluctuation evaluation unit and a debugging coefficient fitting unit; The fluctuation calculation unit is used to construct a parameter fluctuation assessment model, obtain the temperature average value Tavg and the humidity average value Havg through the parameter fluctuation assessment model, and extract environmental related data to calculate the temperature fluctuation parameter Tw and the humidity fluctuation parameter Hw in the monitoring area through the following formulas: ； ； Wherein, Tmax represents the highest temperature in the monitoring area within a fixed period of time in the environment-related data, and Tmin represents the lowest temperature in the monitoring area within a fixed period of time in the environment-related data; Hmax represents the highest humidity in the monitoring area within a fixed period of time in the environment-related data, and Hmin represents the lowest humidity in the monitoring area within a fixed period of time in the environment-related data; By extracting the durability Cnj, offset Cpy and response time Cxy from the sensor state related data, fitting with the temperature fluctuation parameter Tw and humidity fluctuation parameter Hw, the fluctuation response speed coefficient Wrs is calculated by the following formula: ； In the formula, Cnj i represents the durability of the i-th sensor, and n represents the total number of sensors installed in the entire system; The debugging coefficient fitting unit obtains the environmental change rate Hbh by reading the sensor, then collects the system historical data to obtain the historical adjustment fluctuation value Lbdz, and fits the temperature fluctuation parameter Tw, humidity fluctuation parameter Hw and offset Cpy, and obtains the temperature and humidity debugging coefficient Twhc by the following formula: ； The intelligent management module is used to compare and evaluate the temperature and humidity adjustment coefficient Twhc in the monitoring area, take environmental adjustment measures in the corresponding monitoring area according to the evaluation results, and adjust and manage the quality of the fermentation and drying process.

2. A black tea processing equipment monitoring system according to claim 1, characterized in that: The process division module draws the black tea processing area into a three-dimensional map through CAD drawing software, and divides it into several monitoring areas according to the physical space of each process corresponding to the black tea processing area, and then marks them, specifically JC1, JC2, ..., JC n , where n is the total number of monitoring areas, and JC represents the monitoring area; then parameter monitoring points are set in each monitoring area, and sensors are deployed in the parameter monitoring points; the sensors include temperature sensors, humidity sensors, gas sensors and environmental sensors.

3. A black tea processing equipment monitoring system according to claim 2, characterized in that: The environmental parameter monitoring module includes a temperature and humidity acquisition unit and a sensor detection unit; The temperature and humidity acquisition unit is used to deploy precision sensors in each monitoring area, and to monitor and record in real time the environmental data related to the fermentation and drying process of black tea in each monitoring area, wherein the environmental data includes the temperature and humidity related data of the environment; and then store and transmit the temperature and humidity related data of the environment during the fermentation and drying process of black tea to the data processing module.

4. A black tea processing equipment monitoring system according to claim 3, characterized in that: The sensor detection unit is used to detect and evaluate the performance of the sensor in the monitoring area. By real-time recording and collecting the durability Cnj, offset Cpy and response time Cxy of the sensor in a fixed period, the sensor performance index Cgxn is calculated using the following formula: ； The preset state threshold Q is compared with the sensor performance index Cgxn for evaluation. The specific evaluation contents are as follows: If the sensor performance index Cgxn ≥ the state threshold Q, it means that the performance of the sensor in the current monitoring area is normal, and the current sensor continues to be used; If the sensor performance index Cgxn is less than the state threshold Q, it means that the sensor performance in the current monitoring area is abnormal. At this time, the abnormal parameters are further found and recorded, and it is decided whether to calibrate, adjust or replace the sensor based on the abnormal parameters.

5. A black tea processing equipment monitoring system according to claim 1, characterized in that: The data processing module is used to receive the environment-related data transmitted in the form of analog signals from the environmental parameter monitoring module, and then convert the analog signals of the environment-related data into digital signals; however, the digital signals after the data conversion contain noise and abnormal data, and then the digital signals of the environment-related data are subjected to noise filtering and abnormal value detection and elimination, and finally data standardization and normalization processing; The pre-processed environment-related data is stored, and before the environment-related data is transmitted to the next step, the consistency of the pre-processed environment-related data is verified.

6. A black tea processing equipment monitoring system according to claim 1, characterized in that: The fluctuation evaluation unit is used to compare and evaluate the preset response threshold R with the fluctuation response speed coefficient Wrs, and issue an abnormal warning instruction according to the evaluation content of the fluctuation response speed coefficient Wrs. The specific content is as follows: When the fluctuation response speed coefficient Wrs ≥ the response threshold R, it means that the system responds normally to environmental fluctuations, including changes in temperature and humidity. At this time, there is no need to issue an abnormal warning instruction, and the system operates normally; When the fluctuation response speed coefficient Wrs is less than the response threshold R, it means that the system cannot respond normally to environmental fluctuations. The specific abnormal reasons include the sensor response time is too long, the offset is large, or the durability is insufficient, resulting in an untimely response to environmental changes. At this time, an abnormal warning instruction is issued and the temperature and humidity debugging coefficient Twhc is further calculated.

7. A black tea processing equipment monitoring system according to claim 1, characterized in that: The intelligent management module includes a debugging coefficient evaluation unit and an environment adjustment unit; The debugging coefficient evaluation unit evaluates the temperature and humidity debugging coefficient Twhc by presetting a first debugging threshold value P1 and a second debugging threshold value P2, and the first debugging threshold value P1> the second debugging threshold value P2. The specific evaluation content is as follows: When the temperature and humidity adjustment coefficient Twhc> the first adjustment threshold P1, a first evaluation result is generated, indicating that the temperature and humidity fluctuation amplitude is abnormal and the current environmental conditions have exceeded the normal control range; When the first debugging threshold value P1 ≥ the temperature and humidity debugging coefficient Twhc ≥ the second debugging threshold value P2, a second evaluation result is generated, indicating that the temperature and humidity fluctuation range is normal and the current environmental conditions are within the normal control range; When the second debugging threshold value P2> the temperature and humidity debugging coefficient Twhc, a third evaluation result is generated, indicating that the temperature and humidity fluctuation amplitude is abnormal and the current environmental conditions are lower than the normal control range.

8. A black tea processing equipment monitoring system according to claim 7, characterized in that: The environmental adjustment unit is used to take environmental adjustment measures according to the evaluation results of the temperature and humidity adjustment coefficient Twhc, and to adjust and manage the quality of the fermentation and drying process. The specific environmental adjustment means and adjustment and management measures are as follows: When the first evaluation result is generated, the environmental adjustment measures taken include starting the temperature control equipment and humidification equipment to forcibly adjust the temperature and humidity, and starting the ventilation equipment to promote air circulation; the adjustment and management measures include real-time monitoring of the fermentation progress and adjustment of the drying time; When the second evaluation result is generated, the environmental adjustment measures taken include maintaining stable temperature and humidity and stable equipment power; adjustment and management measures include standardized fermentation and drying control and continuous monitoring and recording; When the third evaluation result is generated, the environmental regulation measures taken include raising the temperature and reducing the humidity; the adjustment and management measures include extending the fermentation time by 3% on the original basis and adjusting the drying curve.

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