Highland barley peptide production device operation control system based on Internet of Things
By comprehensively collecting and analyzing key parameters of the highland barley peptide production unit through the Internet of Things control system, the problems of insufficient data collection and energy consumption management in traditional systems have been solved, achieving optimized high-efficiency production and equipment maintenance, and improving product quality and energy utilization efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TIBET POLYPEPTIDE BIOMEDICAL TECH CO LTD
- Filing Date
- 2025-12-31
- Publication Date
- 2026-04-17
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Traditional agricultural production facilities lack systematic and comprehensive data collection, making it difficult to accurately control the production process and resulting in inconsistent raw material quality. Improper energy management leads to energy waste, and the lack of real-time monitoring and scientific evaluation of equipment maintenance affects production continuity and maintenance costs.
The operation and control system of the barley peptide production unit adopts an Internet of Things-based system. Key parameters are collected through high-precision sensors, and comprehensive analysis and feedback control are carried out using mathematical models of quality, energy consumption and maintenance level to achieve precise production and energy optimization.
It improves the stability and consistency of raw material quality, reduces nutrient loss, achieves efficient energy utilization, reduces maintenance costs, and ensures production continuity.
Smart Images
Figure CN121879296A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of agricultural product processing equipment control technology, and more specifically, to an Internet of Things-based operation control system for a highland barley peptide production device. Background Technology
[0002] Traditional agricultural production equipment operation and control systems have many shortcomings. As the market demands for the quality of raw materials and dried products continue to increase and enterprises pay more attention to production efficiency and cost control, these problems are becoming increasingly prominent. Traditional systems lack systematicness and comprehensiveness in data acquisition, often only acquiring a limited number of parameters, such as simple temperature and time data, and are unable to gain a deep understanding of the various complex changes in the production process. This makes it difficult to accurately control the production process, resulting in inconsistent raw material quality.
[0003] In terms of energy management, the lack of detailed analysis and effective control over the energy consumption of each equipment component leads to serious energy waste. Regarding equipment maintenance, there is a lack of real-time monitoring and scientific assessment mechanisms for the wear and tear of key components and the overall stress state of the equipment. Repairs are typically only carried out after obvious equipment failures occur, which not only increases maintenance costs but also severely impacts production continuity. Summary of the Invention
[0004] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide an Internet of Things-based operation control system for a barley peptide production device, which solves the problems mentioned in the background art through the following solutions.
[0005] To achieve the above objectives, the present invention provides the following technical solution: an Internet of Things-based operation control system for a barley peptide production device, comprising a system central processing unit module, a system operation database, a user information terminal, an information acquisition module, an information feature extraction module, a data standardization processing module, an operation information analysis module, an operation control module, and an interactive feedback module; The system operation database includes all data text of an IoT-based highland barley peptide production device operation control system, and collects information text output by each module in real time. The system central processing unit module is used to centrally control the information text instructions output by each module. The user information terminal is a device that receives information output from an IoT-based highland barley peptide production device operation control system. The information acquisition module is used to filter raw material feature text data according to different production lines to obtain raw material feature text data. The number of filtering times is recorded as 1, 2, 3, ... i, ... n. The information feature extraction module includes a quality information acquisition unit, an equipment energy consumption information acquisition unit, an equipment maintenance information acquisition unit, and a cost information acquisition unit. It is used to select key texts from raw material feature text data to obtain the first key text and output the first key text to the data standardization processing module. The information feature extraction module includes a quality information acquisition unit, an equipment energy consumption information acquisition unit, an equipment maintenance information acquisition unit, and a cost information acquisition unit. It is used to select key texts from raw material feature text data to obtain the first key text and output the first key text to the data standardization processing module. The operation information analysis module is used to import the second key text data into the mathematical models of quality assessment coefficient, equipment energy consumption level coefficient, equipment maintenance level coefficient and equipment operating cost coefficient, and process and analyze them to obtain the text output value based on the second key text. The operation control module is used to control the operation of the device based on the comparison between the text output value and the corresponding preset value; The interactive feedback module is used to import the comparison results into the user information terminal.
[0006] Preferably, the first key text specifically refers to parameters such as temperature gradient change rate, temperature fluctuation amplitude, ambient humidity, humidity change rate, weight, weight loss rate, cell damage rate, light intensity, heating element energy consumption, ventilation system energy consumption, dehumidification device energy consumption, heating element wire wear ratio, ventilation system impeller wear size ratio, shell stress, amplitude, power consumption, gas consumption, desiccant consumption, and filter replacement frequency.
[0007] The temperature gradient change rate parameter refers to the temperature gradient change rate. ; The temperature fluctuation range parameter refers to the difference between the highest and lowest temperatures within the production unit. ; The environmental humidity parameter refers to the moisture content in the environment. ; The humidity change rate parameter refers to the humidity change rate. ; The weight parameter refers to weight. ; The weight loss rate parameter refers to the rate at which the raw material loses weight per second during the production process. ; The cell damage rate parameter refers to the cell damage rate of the raw material. ; The light intensity parameter refers to light intensity ; The energy consumption parameter of the heating element refers to the energy consumption of the heating element. ; The energy consumption parameters of the ventilation system refer to the energy consumption of the ventilation system. ; The energy consumption parameter of the dehumidification device refers to the energy consumption of the dehumidification device. ; The wear ratio parameter of the heating element wire refers to the wear size ratio of the heating element wire. ; The impeller wear size ratio parameter of the ventilation system refers to the wear size ratio of the impeller in the ventilation system. ; The shell stress parameter refers to the shell stress. ; The power consumption parameter refers to power consumption. ; The gas usage parameter refers to the gas usage. ; The desiccant usage parameter refers to the amount of desiccant used. ; The filter replacement frequency parameter refers to the number of times the filter is replaced. .
[0008] Preferably, the specific method for acquiring the temperature gradient change rate parameter is as follows: High-precision temperature sensors are installed at the top, middle, and bottom of the production unit, as well as near the heating source and ventilation openings. For two adjacent sensor locations, the temperature readings are recorded at time intervals. Obtain their temperature values internally. , , as well as The rate of change of the temperature gradient is: = .
[0009] Preferably, the standardization process specifically refers to Z-score standardization, which converts the original data into standardized Z-scores by calculating the mean and standard deviation of the original data.
[0010] Preferably, the text output values include the values of the quality assessment coefficient, the equipment energy consumption level coefficient, the equipment maintenance level coefficient, and the equipment operating cost coefficient.
[0011] Preferably, the mathematical model for the quality assessment coefficient is as follows: + + + + + + + ; in Refers to the quality assessment coefficient. The rate of change of the temperature gradient. This refers to the difference between the highest and lowest temperatures within the production facility. Refers to the moisture content in the environment. Refers to the rate of change in humidity. The weight behind the finger This refers to the rate of weight loss per second of raw materials during the production process. This refers to the cell damage rate of the raw materials. Light intensity This refers to the average difference between the highest and lowest temperatures inside the production unit during operation. This refers to the average moisture content in the environment within the historical work data. The historical average weight of the raw materials refers to the following. This refers to the historical average rate of weight loss per second of raw materials during the production process. This refers to the historical average light intensity during operation.
[0012] Preferably, the mathematical model for the energy consumption level coefficient of the device is as follows: ; in This refers to the equipment energy consumption level coefficient. This refers to the energy consumption of the heating element. This refers to the energy consumption of the ventilation system. Energy consumption of dehumidification devices This refers to the standard energy consumption of the heating element. This refers to the standard energy consumption of the ventilation system. This refers to the standard energy consumption of the dehumidification device.
[0013] Preferably, the mathematical model for the equipment maintenance level coefficient is as follows: + + ; in This refers to the equipment maintenance level coefficient. This refers to the proportion of wear on the metal wire of the heating element. This refers to the proportion of impeller wear dimensions in the ventilation system. Refers to the stress on the outer shell. This refers to the maximum safe stress that the outer casing can withstand.
[0014] Preferably, the mathematical model for the equipment operating cost coefficient is as follows: ; in This refers to the equipment operating cost coefficient. This refers to power consumption. This refers to the amount of gas used. This refers to the amount of desiccant used. This refers to the number of times the filter needs to be replaced. This refers to the industry's average electricity consumption. This refers to the industry's average gas consumption. This refers to the industry average amount of desiccant used. This refers to the industry average number of filter replacements.
[0015] Preferably, the control method of the operation control module is as follows: Compare the quality assessment coefficient with the preset value of the quality assessment coefficient. When the quality assessment coefficient is less than the preset value of the quality assessment coefficient, adjust the power of the heating element or the wind speed of the ventilation system or control the amount of dehumidification of the dehumidification device until the quality assessment coefficient is greater than the preset value of the quality assessment coefficient. After the quality assessment coefficient is greater than the preset value, the equipment energy consumption level coefficient is compared with the preset value. When the equipment energy consumption level coefficient is less than the preset value, the administrator is reminded to optimize the equipment operation plan or replace the equipment. When the administrator optimizes the equipment operation plan, the equipment operation cost coefficient of each plan is compared with the preset value of the equipment operation cost coefficient. If the equipment operation cost coefficient of the plan is higher than the preset value, the plan is excluded. The system compares the equipment maintenance level coefficient with the preset value. When the equipment maintenance level coefficient is less than the preset value, the system automatically issues a maintenance warning, prompting the administrator to replace worn parts or repair the equipment.
[0016] The technical effects and advantages of this invention are as follows: 1. This invention uses high-precision sensors placed at key locations within the production equipment to comprehensively collect parameters such as temperature gradient change rate, humidity change rate, weight and loss rate, cell damage rate, and light intensity. By using a mathematical model of quality assessment coefficients for comprehensive analysis, the system can accurately adjust the power of heating elements, the wind speed of the ventilation system, or the dehumidification capacity of the dehumidification device based on the model calculation results. This ensures that the raw materials are heated evenly and that moisture evaporation is reasonable during the production process, effectively reducing the loss of nutrients and significantly improving the quality of the raw materials, resulting in more stable and consistent product quality. 2. This invention utilizes a mathematical model of equipment energy consumption level coefficient to accurately monitor and analyze the energy consumption of various components such as heating elements, ventilation systems, and dehumidification devices. Based on the model results, the system can intelligently adjust the operating parameters of each component while ensuring quality, thereby achieving efficient energy utilization and avoiding energy waste. 3. This invention utilizes a mathematical model of equipment maintenance level coefficient to monitor key indicators such as the wear ratio of heating element metal wires, the wear size ratio of ventilation system impellers, and shell stress in real time. When the equipment maintenance level coefficient calculated by the model is lower than the preset value, the system automatically issues a maintenance warning, prompting the administrator to replace worn parts or carry out equipment maintenance in advance. Attached Figure Description
[0017] Figure 1 This is a schematic diagram of the overall structure of the present invention. Detailed Implementation
[0018] 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.
[0019] As attached Figure 1 The control system for a highland barley peptide production device based on the Internet of Things (IoT) includes a system central processing unit module, a system operation database, a user information terminal, an information acquisition module, an information feature extraction module, a data standardization processing module, an operation information analysis module, an operation control module, and an interactive feedback module.
[0020] The system operation database includes all data text of an IoT-based highland barley peptide production device operation control system, and collects information text output by each module in real time. The system central processing unit module is used to centrally control the information text instructions output by each module. The user information terminal is a device that receives information output from an IoT-based highland barley peptide production device operation control system. The output of the information acquisition module is electrically connected to the input of the information feature extraction module. The output of the information feature extraction module is electrically connected to the input of the data standardization processing module. The output of the data standardization processing module is electrically connected to the input of the operation information analysis module. The output of the operation information analysis module is electrically connected to the input of the operation control module. The output of the operation control module is electrically connected to the input of the interactive feedback module.
[0021] The information acquisition module is used to filter raw material feature text data according to different production lines to obtain raw material feature text data. The number of filtering times is recorded as 1, 2, 3, ... i, ... n. The information feature extraction module includes a quality information acquisition unit, an equipment energy consumption information acquisition unit, an equipment maintenance information acquisition unit, and a cost information acquisition unit. It is used to select key texts from raw material feature text data to obtain the first key text and output the first key text to the data standardization processing module. The first key text in the information feature extraction module of the preferred technical solution of this application is as follows: In this embodiment, it should be specifically noted that the first key text specifically refers to the parameters of temperature gradient change rate, temperature fluctuation amplitude, ambient humidity, humidity change rate, weight, weight loss rate, cell damage rate, light intensity, heating element energy consumption, ventilation system energy consumption, dehumidification device energy consumption, heating element wire wear ratio, ventilation system impeller wear size ratio, shell stress, amplitude, power consumption, gas usage, desiccant usage, and filter replacement frequency.
[0022] The temperature gradient change rate parameter refers to the temperature gradient change rate. ; The temperature fluctuation range parameter refers to the difference between the highest and lowest temperatures within the production unit. ; The environmental humidity parameter refers to the moisture content in the environment. ; The humidity change rate parameter refers to the humidity change rate. ; The weight parameter refers to weight. ; The weight loss rate parameter refers to the rate at which the raw material loses weight per second during the production process. ; The cell damage rate parameter refers to the cell damage rate of the raw material. ; The light intensity parameter refers to light intensity ; The energy consumption parameter of the heating element refers to the energy consumption of the heating element. ; The energy consumption parameters of the ventilation system refer to the energy consumption of the ventilation system. ; The energy consumption parameter of the dehumidification device refers to the energy consumption of the dehumidification device. ; The wear ratio parameter of the heating element wire refers to the wear size ratio of the heating element wire. ; The impeller wear size ratio parameter of the ventilation system refers to the wear size ratio of the impeller in the ventilation system. ; The shell stress parameter refers to the shell stress. ; The power consumption parameter refers to power consumption. ; The gas usage parameter refers to the gas usage. ; The desiccant usage parameter refers to the amount of desiccant used. ; The filter replacement frequency parameter refers to the number of times the filter is replaced. ; In this embodiment, it should be specifically noted that the specific method for acquiring the temperature gradient change rate parameter is as follows: High-precision temperature sensors are installed at the top, middle, and bottom of the production unit, as well as near the heating source and ventilation openings. For two adjacent sensor locations, the temperature readings are recorded at time intervals. Obtain their temperature values internally. , , as well as The rate of change of the temperature gradient is: = ; Calculate the rate of change of temperature gradient for each sensor within the same time period, and select... The largest value is used as the temperature gradient change rate parameter; In this embodiment, it should be specifically noted that the method for collecting the wear ratio parameter of the heating element metal wire is as follows: The size of the worn metal wire of the heating element is measured by ultrasonic testing, and the ratio of the worn size to that of the standard part is calculated. In this embodiment, it should be specifically noted that the parameters for temperature fluctuation amplitude, ambient humidity, humidity change rate, weight, weight loss rate, cell damage rate, light intensity, heating element energy consumption, ventilation system energy consumption, dehumidification device energy consumption, heating element wire wear ratio, ventilation system impeller wear size ratio, shell stress, amplitude, power consumption, gas consumption, desiccant consumption, and filter replacement frequency are all obtained using conventional methods. For example, the cell damage rate parameter is obtained through near-infrared spectroscopy, the weight and weight loss rate parameters are obtained through a weight sensor, the shell stress parameter is obtained through a stress sensor, the ambient humidity and humidity change rate parameters are obtained through a humidity sensor, the heating element energy consumption, ventilation system energy consumption, and dehumidification device energy consumption parameters are obtained through a power sensor, and the light intensity parameter is obtained through a light sensor. Therefore, this embodiment does not impose specific limitations. The data standardization processing module is used to standardize and analyze the first key text data to obtain the second key text and output the second key text to the runtime information analysis module. In this embodiment, it should be specifically noted that the standardization process refers to Z-score standardization, which converts the original data into standardized Z-scores by calculating the mean and standard deviation of the original data.
[0023] The operation information analysis module is used to import the second key text data into the mathematical models of quality assessment coefficient, equipment energy consumption level coefficient, equipment maintenance level coefficient and equipment operating cost coefficient, and process and analyze them to obtain the text output value based on the second key text. In this embodiment, it should be specifically noted that the text output values include the values of the quality assessment coefficient, the equipment energy consumption level coefficient, the equipment maintenance level coefficient, and the equipment operating cost coefficient. In this embodiment, it should be specifically explained that the mathematical model for the quality assessment coefficient is as follows: + + + + + + + ; in Refers to the quality assessment coefficient. The rate of change of the temperature gradient. This refers to the difference between the highest and lowest temperatures within the production facility. The moisture content in the environment. Refers to the rate of change in humidity. The weight behind the finger This refers to the rate of weight loss per second of raw materials during the production process. This refers to the cell damage rate of the raw materials. Light intensity This refers to the average difference between the highest and lowest temperatures inside the production unit during operation. This refers to the average moisture content in the environment within the historical work data. The historical average weight of the raw materials refers to the following. This refers to the historical average rate of weight loss per second of raw materials during the production process. The historical average light intensity during operation; In this embodiment, it should be specifically explained that the mathematical model for the energy consumption level coefficient of the device is as follows: ; in This refers to the equipment energy consumption level coefficient. This refers to the energy consumption of the heating element. This refers to the energy consumption of the ventilation system. Energy consumption of dehumidification devices This refers to the standard energy consumption of the heating element. This refers to the standard energy consumption of the ventilation system. This refers to the standard energy consumption of the dehumidification device; In this embodiment, it should be specifically explained that the mathematical model for the equipment maintenance level coefficient is as follows: + + ; in This refers to the equipment maintenance level coefficient. This refers to the proportion of wear on the metal wire of the heating element. This refers to the proportion of impeller wear dimensions in the ventilation system. Refers to the stress on the outer shell. This refers to the maximum safe stress that the outer casing can withstand; In this embodiment, it should be specifically explained that the mathematical model for the equipment operating cost coefficient is as follows: ; in This refers to the equipment operating cost coefficient. This refers to power consumption. This refers to the amount of gas used. This refers to the amount of desiccant used. This refers to the number of times the filter needs to be replaced. This refers to the industry's average electricity consumption. This refers to the industry's average gas consumption. This refers to the industry average amount of desiccant used. This refers to the industry average number of filter replacements. The operation control module is used to control the operation of the device based on the comparison between the text output value and the corresponding preset value; In this embodiment, the control method of the operation control module is specifically described as follows: Compare the quality assessment coefficient with the preset value of the quality assessment coefficient. When the quality assessment coefficient is less than the preset value of the quality assessment coefficient, adjust the power of the heating element or the wind speed of the ventilation system or control the amount of dehumidification of the dehumidification device until the quality assessment coefficient is greater than the preset value of the quality assessment coefficient. After the quality assessment coefficient is greater than the preset value, the equipment energy consumption level coefficient is compared with the preset value. When the equipment energy consumption level coefficient is less than the preset value, the administrator is reminded to optimize the equipment operation plan or replace the equipment. When the administrator optimizes the equipment operation plan, the equipment operation cost coefficient of each plan is compared with the preset value of the equipment operation cost coefficient. If the equipment operation cost coefficient of the plan is higher than the preset value, the plan is excluded. The system compares the equipment maintenance level coefficient with the preset value. When the equipment maintenance level coefficient is less than the preset value, the system will automatically issue a maintenance warning, prompting the administrator to replace worn parts or repair the equipment. In this embodiment, it should be specifically noted that the preset values are warning values for the evaluation quality, equipment energy consumption level, equipment operating cost, and equipment maintenance level obtained based on the enterprise's business objectives, enterprise needs, and industry standards. This embodiment does not impose specific limitations on these values. The interactive feedback module is used to import the comparison results into the user information terminal; In this embodiment, it should be specifically noted that the user information terminal is used to upload the comparison results to the user information terminal to help the administrator control the process.
[0024] Secondly: The accompanying drawings of the embodiments disclosed in this invention only involve the structures involved in the embodiments disclosed in this invention. Other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of this invention can be combined with each other. In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. An Internet of Things-based operation control system for a highland barley peptide production device, characterized in that, include: The system comprises a central processing unit module, a system operation database, a user information terminal, an information acquisition module, an information feature extraction module, a data standardization processing module, an operation information analysis module, an operation control module, and an interactive feedback module. The system operation database includes all data text of an IoT-based highland barley peptide production device operation control system, and collects information text output by each module in real time. The system central processing unit module is used to centrally control the information text instructions output by each module. The user information terminal is a device that receives information output from an IoT-based highland barley peptide production device operation control system. The information acquisition module is used to filter raw material feature text data according to different production lines to obtain raw material feature text data. The number of filtering times is recorded as 1, 2, 3, ... i, ... n. The information feature extraction module includes a quality information acquisition unit, an equipment energy consumption information acquisition unit, an equipment maintenance information acquisition unit, and a cost information acquisition unit. It is used to select key texts from raw material feature text data to obtain the first key text and output the first key text to the data standardization processing module. The information feature extraction module includes a quality information acquisition unit, an equipment energy consumption information acquisition unit, an equipment maintenance information acquisition unit, and a cost information acquisition unit. It is used to select key texts from raw material feature text data to obtain the first key text and output the first key text to the data standardization processing module. The operation information analysis module is used to import the second key text data into the mathematical models of quality assessment coefficient, equipment energy consumption level coefficient, equipment maintenance level coefficient and equipment operating cost coefficient, and process and analyze them to obtain the text output value based on the second key text. The operation control module is used to control the operation of the device based on the comparison between the text output value and the corresponding preset value; The interactive feedback module is used to import the comparison results into the user information terminal.
2. The operation control system for a highland barley peptide production device based on the Internet of Things according to claim 1, characterized in that: The first key text specifically refers to parameters such as temperature gradient change rate, temperature fluctuation amplitude, ambient humidity, humidity change rate, weight, weight loss rate, cell damage rate, light intensity, heating element energy consumption, ventilation system energy consumption, dehumidification device energy consumption, heating element wire wear ratio, ventilation system impeller wear size ratio, shell stress, amplitude, power consumption, gas consumption, desiccant consumption, and filter replacement frequency. The temperature gradient change rate parameter refers to the temperature gradient change rate. ; The temperature fluctuation range parameter refers to the difference between the highest and lowest temperatures within the production unit. ; The environmental humidity parameter refers to the moisture content in the environment. ; The humidity change rate parameter refers to the humidity change rate. ; The weight parameter refers to weight. ; The weight loss rate parameter refers to the rate at which the raw material loses weight per second during the production process. ; The cell damage rate parameter refers to the cell damage rate of the raw material. ; The light intensity parameter refers to light intensity ; The energy consumption parameter of the heating element refers to the energy consumption of the heating element. ; The energy consumption parameters of the ventilation system refer to the energy consumption of the ventilation system. ; The energy consumption parameter of the dehumidification device refers to the energy consumption of the dehumidification device. ; The wear ratio parameter of the heating element wire refers to the wear size ratio of the heating element wire. ; The impeller wear size ratio parameter of the ventilation system refers to the wear size ratio of the impeller in the ventilation system. ; The shell stress parameter refers to the shell stress. ; The power consumption parameter refers to power consumption. ; The gas usage parameter refers to the gas usage. ; The desiccant usage parameter refers to the amount of desiccant used. ; The filter replacement frequency parameter refers to the number of times the filter is replaced. .
3. The operation control system for a highland barley peptide production device based on the Internet of Things according to claim 1, characterized in that: The mathematical model for the quality assessment coefficient is as follows: + + + + + + + ； in Refers to the quality assessment coefficient. The rate of change of the temperature gradient. This refers to the difference between the highest and lowest temperatures within the production facility. Refers to the moisture content in the environment. Refers to the rate of change in humidity. The weight behind the finger This refers to the rate of weight loss per second of raw materials during the production process. This refers to the cell damage rate of the raw materials. Light intensity This refers to the average difference between the highest and lowest temperatures inside the production unit during operation. This refers to the average moisture content in the environment within the historical work data. The historical average weight of the raw materials refers to the following. This refers to the historical average rate of weight loss per second of raw materials during the production process. This refers to the historical average light intensity during operation.
4. The operation control system for a highland barley peptide production device based on the Internet of Things according to claim 1, characterized in that: The mathematical model for the energy consumption level coefficient of the equipment is as follows: ； in This refers to the equipment energy consumption level coefficient. This refers to the energy consumption of the heating element. This refers to the energy consumption of the ventilation system. Energy consumption of dehumidification devices This refers to the standard energy consumption of the heating element. This refers to the standard energy consumption of the ventilation system. This refers to the standard energy consumption of the dehumidification device.
5. The operation control system for a highland barley peptide production device based on the Internet of Things according to claim 1, characterized in that: The mathematical model for the equipment maintenance level coefficient is as follows: + + ； in This refers to the equipment maintenance level coefficient. This refers to the proportion of wear on the metal wire of the heating element. This refers to the proportion of impeller wear dimensions in the ventilation system. Refers to the stress on the outer shell. This refers to the maximum safe stress that the outer casing can withstand.
6. The operation control system for a highland barley peptide production device based on the Internet of Things according to claim 1, characterized in that: The mathematical model for the equipment operating cost coefficient is as follows: ； in This refers to the equipment operating cost coefficient. This refers to power consumption. This refers to the amount of gas used. This refers to the amount of desiccant used. This refers to the number of times the filter needs to be replaced. This refers to the industry's average electricity consumption. This refers to the industry's average gas consumption. This refers to the industry average amount of desiccant used. This refers to the industry average number of filter replacements.
7. The operation control system for a highland barley peptide production device based on the Internet of Things according to claim 1, characterized in that: The control method of the operation control module is as follows: Compare the quality assessment coefficient with the preset value of the quality assessment coefficient. When the quality assessment coefficient is less than the preset value of the quality assessment coefficient, adjust the power of the heating element or the wind speed of the ventilation system or control the amount of dehumidification of the dehumidification device until the quality assessment coefficient is greater than the preset value of the quality assessment coefficient. After the quality assessment coefficient is greater than the preset value, the equipment energy consumption level coefficient is compared with the preset value. When the equipment energy consumption level coefficient is less than the preset value, the administrator is reminded to optimize the equipment operation plan or replace the equipment. When an administrator optimizes a device operation plan, the device operation cost coefficient of each plan is compared with the preset value of the device operation cost coefficient. If the device operation cost coefficient of a plan is higher than the preset value, the plan is excluded. The system compares the equipment maintenance level coefficient with the preset value. When the equipment maintenance level coefficient is less than the preset value, the system automatically issues a maintenance warning, prompting the administrator to replace worn parts or repair the equipment.