Management and control system for production of traditional Chinese medicine decoction pieces based on intelligent Internet of Things

Abstract

The invention discloses a management and control system for traditional Chinese medicine decoction piece production based on intelligent Internet of Things, and relates to the technical field of Internet of Things. During operation of the system, a humidity sensitivity analysis module, a regional humidity detection module, a subarea control module, a humidity adjustment feedback module, a data processing and analysis module and an effect evaluation and iteration module are integrated; the humidity management in the traditional Chinese medicine decoction piece production process is comprehensively optimized, the humidity in a production area can be dynamically and accurately controlled, intelligent classification and personalized management are carried out on different humidity-sensitive decoction pieces, and therefore the humidity in each area is kept within the optimal range all the time, and the production efficiency of the traditional Chinese medicine decoction pieces is improved. The real-time feedback and regulation mechanism not only improves the precision of humidity control, but also significantly reduces the quality problem of decoction pieces caused by unstable humidity. The problems of hysteresis and inconsistency can be effectively solved, the negative influence of humidity fluctuation on the quality of the traditional Chinese medicine decoction pieces is prevented, the production loss is reduced, and the production efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to a management and control system for the production of Chinese herbal medicine slices based on smart Internet of Things. Background Art

[0002] The production of Chinese herbal medicine slices is an important part of the Chinese medicine industry and is widely used in Chinese medicine treatment and health care. Its production process involves multiple steps of cutting, drying and processing of Chinese herbal medicines.

[0003] The invention of Chinese patent publication number CN114971650A discloses a data collection and management system for processing prescriptions of Chinese herbal medicines and its application; the data collection and management system for processing prescriptions of Chinese herbal medicines includes a data standardization module, a prescription review module, a pre-production processing module, a blending module, a review module, a soaking module, a decoction and filling module, a packaging logistics module, an equipment management module, a data storage module, a log storage module, and a production control module; the present invention is a Chinese herbal medicine production management and supervision system that performs data collection and data management based on the Internet of Things and AI artificial intelligence technologies to realize real-time and efficient collection, storage, analysis and monitoring of Chinese herbal medicine prescription processing process data.

[0004] It can be seen that although the data of the production and processing of Chinese herbal medicines can be collected and processed, there are still several obvious shortcomings in the production process of Chinese herbal medicines: First, the lack of precision in humidity control may cause the humidity of the pieces to exceed the appropriate range, affecting the efficacy and storage life. Secondly, the traditional method cannot monitor and adjust the humidity in real time, resulting in a lag in humidity control and an inability to respond to environmental changes or production problems in a timely manner. Therefore, during the production and storage of Chinese herbal medicines, fluctuations in humidity are likely to cause quality problems and a decrease in production efficiency. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a management and control system for the production of Chinese herbal medicines based on smart Internet of Things, which solves the problems mentioned in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a management and control system for the production of Chinese herbal medicine slices based on intelligent Internet of Things, including a humidity sensitivity analysis module, a regional humidity detection module, a partition control module, a humidity adjustment feedback module, a data processing and analysis module, and an effect evaluation and iteration module;

[0007] The humidity sensitivity analysis module performs sensitivity analysis on different Chinese herbal medicine pieces in the production area, including the hygroscopicity and component stability of the pieces, to obtain the appropriate humidity range Hopt(i) of different Chinese herbal medicine pieces in the production area;

[0008] The regional humidity detection module collects humidity information in the production area in real time by connecting to the Internet of Things sensors set up in different Chinese herbal medicine pieces in the production area, forms the regional real-time humidity data Hdet(t) of the Chinese herbal medicine piece production area, and associates it with the appropriate humidity interval Hopt(i) to obtain the regional humidity adjustment index Hadj(t), and transmits it in real time through the Internet of Things;

[0009] The partition control module performs fitting according to the acquired regional humidity adjustment index Hadj(t) and the regional real-time humidity data Hdet(t) to obtain the corrected humidity target value Hcorr(t) of the medicinal material production area;

[0010] The humidity adjustment feedback module adjusts the operating state of the humidity control equipment in the production area according to the corrected humidity target value Hcorr(t) by connecting to the Internet of Things device in the production area, synchronously triggers the real-time detection of the humidity information in the production area after adjustment, and fits it with the corrected humidity target value Hcorr(t) to obtain the humidity deviation state index △Herr(t), and then matches it with the preset humidity control deviation assessment threshold SZ to obtain the humidity deviation state result of the production area;

[0011] The data processing and analysis module constructs a humidity control optimization model for the humidity information of the production area and the historical humidity information according to the humidity deviation state result of the production area, and obtains the secondary adjustment humidity optimization index Hfinal through the training of the humidity control optimization model;

[0012] The effect evaluation and iteration module matches the secondary adjustment humidity optimization index Hfinal with the preset regulation comprehensive evaluation threshold PZ, obtains the production area humidity control adjustment iteration trigger result, and performs specific execution.

[0013] Preferably, the humidity sensitivity analysis module includes a data acquisition unit and a humidity analysis unit;

[0014] The data acquisition unit obtains the unique information of the Chinese herbal medicine pieces in the current production area through the Internet of Things identification device set in the Chinese herbal medicine piece production area, and simultaneously extracts the Chinese herbal medicine piece characteristic information in the current production area from the Chinese herbal medicine piece characteristic storage database according to the unique information, including the hygroscopicity parameter S(i), the component stability parameter K(i) and the preset reference humidity value Hbase(i);

[0015] The humidity analysis unit calculates the suitable humidity range Hopt(i) of the Chinese medicine slices in the current production area according to the hygroscopicity parameter S(i), the component stability parameter K(i) and the preset reference humidity value Hbase(i);

[0016] The suitable humidity range Hopt(i) is obtained by the following calculation formula:

[0017]

[0018] Where Hbase(i) represents the preset benchmark humidity value of the i-th Chinese herbal medicine slice, λ1 represents the hygroscopicity influence coefficient, which is specifically used to regulate the sensitivity of different types of Chinese herbal medicine slices to the hygroscopicity parameter S(i), and δ represents the component stability influence coefficient.

[0019] Preferably, the regional humidity detection module includes an Internet of Things acquisition unit and a humidity adjustment calculation unit;

[0020] The Internet of Things acquisition unit monitors the humidity information in the production area by connecting the Internet of Things sensors set in different Chinese herbal medicine pieces in the production area, including humidity sensors, to collect the humidity information in the production area in real time, and form the regional real-time humidity data Hdet(t) of the Chinese herbal medicine piece production area;

[0021] The humidity adjustment calculation unit associates the collected regional real-time humidity data Hdet(t) with the suitable humidity interval Hopt(i), obtains the regional humidity adjustment index Hadj(t), and transmits it to the partition control module in real time through the Internet of Things.

[0022] Preferably, the regional humidity adjustment index Hadj(t) is obtained by the following calculation formula:

[0023]

[0024] Where Hdet(t) represents the real-time humidity data of the region at time t, Hopt(i) represents the suitable humidity range of the i-th Chinese herbal medicine slice, α represents the humidity adjustment coefficient, β represents the environmental sensitivity coefficient, exp represents the exponential function, △E(t) represents the environmental fluctuation influencing factor, which specifically represents the fluctuation trend of the environmental information changes in the production area, including temperature and air flow rate.

[0025] Preferably, the partition control module performs fitting according to the acquired regional humidity adjustment index Hadj(t) and the regional real-time humidity data Hdet(t) to obtain the corrected humidity target value Hcorr(t) of the medicinal slice production area;

[0026] The corrected humidity target value Hcorr(t) is obtained by the following calculation formula:

[0027]

[0028] Wherein, η represents the nonlinear correction coefficient, which is specifically used to adjust the influence of humidity deviation on the calculation results of the suitable humidity interval Hopt(i) and the regional real-time humidity data Hdet(t); ε represents a small constant, which is specifically used to stabilize the calculation results when the value of the regional humidity adjustment index Hadj(t) is close to zero; σ represents the difference correction coefficient, which is specifically used to adjust the influence of the difference between the calculation results of the regional real-time humidity data Hdet(t) and the regional humidity adjustment index Hadj(t).

[0029] Preferably, the humidity adjustment feedback module includes a humidity control execution unit and a humidity deviation detection unit;

[0030] The humidity control execution unit controls the operating state of the humidity control equipment in the production area according to the corrected humidity target value Hcorr(t) by connecting to the Internet of Things devices in the production area, and the control method includes adaptively controlling the operating power and operating time of the humidification equipment and the dehumidification equipment;

[0031] The humidity deviation detection unit is used to trigger real-time detection and collection of humidity information of the production area after regulation, obtain the real-time humidity data Hdet(t) of the area, and calculate the humidity deviation state index △Herr(t) with the corrected humidity target value Hcorr(t) according to the formula ΔHerr(t)=|Hdet(t)-Hcorr(t), and match it with the preset humidity control deviation assessment threshold SZ to obtain the humidity deviation state result of the production area.

[0032] Preferably, the humidity deviation state result of the production area is obtained by the following matching method:

[0033]

[0034] When the matching return signal of Hstatus(t) is 1, the humidity deviation status result of the production area is obtained as an unqualified result, and secondary regulation is performed, including regulating the operating status of the humidity control equipment in the production area;

[0035] When the matching return signal of Hstatus(t) is 0, the humidity deviation status result of the production area is a qualified result, and no secondary adjustment is required.

[0036] Preferably, the data processing and analysis module is triggered according to the humidity deviation state result of the production area to construct a humidity control optimization model for the humidity information and historical humidity information of the production area, and collects the real-time humidity data Hdet(t) of the production area, the corrected humidity target value Hcorr(t) and the humidity deviation state index △Herr(t) as the data input of the model, and obtains the secondary adjustment humidity optimization index Hfinal through the training of the humidity control optimization model;

[0037] Among them, the mechanism for triggering the humidity deviation status result in the production area is specifically triggered by the following matching methods:

[0038] When the matching return signal of the humidity deviation status result of the production area is 1, and it is an unqualified result, a trigger is performed to build a humidity control optimization model for the humidity information of the production area and the historical humidity information;

[0039] When the matching return signal of the production area humidity deviation status result is 0, and it is a qualified result, no trigger is performed to build a humidity control optimization model for the production area humidity information and historical humidity information.

[0040] Preferably, the secondary humidity adjustment optimization index Hfinal is obtained by the following calculation formula:

[0041]

[0042] In the formula, It represents the adjustment coefficient, which is specifically used for the influence intensity of the humidity deviation state index △Herr(t). Hdet,max represents the peak value in the real-time humidity data of the area, and Hdet,min represents the valley value in the real-time humidity data of the area.

[0043] Preferably, the effect evaluation and iteration module matches the secondary adjustment humidity optimization index Hfinal with the preset regulation comprehensive evaluation threshold PZ, obtains the production area humidity control adjustment iteration trigger result, and performs specific execution;

[0044] The production area humidity control adjustment iteration trigger result is obtained by the following matching method:

[0045] When the secondary adjustment humidity optimization index Hfinal ≥ the comprehensive evaluation threshold value PZ of the control, the trigger result of the humidity control adjustment iteration in the production area is obtained to execute the iteration, and the regional humidity detection module, the partition control module, the humidity adjustment feedback module, the data processing and analysis module and the effect evaluation and iteration module are continuously executed;

[0046] When the secondary adjustment humidity optimization index Hfinal is less than the comprehensive evaluation threshold value PZ of the control, the adjustment iteration trigger result of the humidity control adjustment in the production area is obtained as not executing the iteration.

[0047] The present invention provides a management and control system for the production of Chinese herbal medicine slices based on smart IoT, which has the following beneficial effects:

[0048] (1) When the system is running, the humidity management in the production process of Chinese herbal medicine slices is fully optimized by integrating the humidity sensitivity analysis module, regional humidity detection module, partition control module, humidity adjustment feedback module, data processing and analysis module, and effect evaluation and iteration module. It can dynamically and accurately control the humidity in the production area, and intelligently classify and personalize the management of different humidity-sensitive slices, so as to keep the humidity in each area always within the optimal range. This real-time feedback and adjustment mechanism not only improves the accuracy of humidity control, but also significantly reduces the quality problems of slices caused by unstable humidity. Through precise humidity target setting and automatic adjustment, the system can effectively solve the lag and inconsistency existing in traditional humidity control methods, prevent the negative impact of humidity fluctuations on the quality of Chinese herbal medicine slices, reduce production losses, improve production efficiency, and ultimately ensure the quality and efficacy of Chinese herbal medicine slices. Compared with the existing Chinese herbal medicine slice data collection and management system, the intelligent processing and real-time optimization of humidity control in this solution significantly enhances the system's responsiveness and management accuracy, and significantly improves the overall quality control level of Chinese herbal medicine slice production.

[0049] (2) When the humidity deviation result is triggered by the data processing and analysis module, the humidity control optimization model is constructed and trained using the real-time humidity data Hdet(t), the corrected humidity target value Hcorr(t) and the humidity deviation state index △Herr(t), and the secondary adjustment humidity optimization index Hfinal is calculated. This process not only improves the dynamic response capability of humidity control, but also optimizes the adjustment strategy, enabling the system to automatically start the adjustment mechanism when the humidity deviation is obvious, thereby avoiding unnecessary adjustments when the humidity is qualified. By comparing with the preset comprehensive evaluation threshold PZ of the control, the system can effectively distinguish when it is necessary to perform iterative adjustments, further improving the pertinence and efficiency of the control process. This intelligent iterative mechanism ensures the continuous optimization of humidity control in the production environment, and can adapt to environmental changes in real time, reducing the impact of unstable humidity on production quality, realizing efficient, dynamic and intelligent humidity control, and greatly improving production stability and economy. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a schematic diagram of a block diagram of a management and control system for the production of Chinese herbal medicine slices based on smart Internet of Things in the present invention. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0052] Example 1

[0053] The present invention provides a management and control system for the production of Chinese herbal medicine slices based on intelligent IoT. Figure 1 , including humidity sensitivity analysis module, regional humidity detection module, partition control module, humidity adjustment feedback module, data processing and analysis module and effect evaluation and iteration module;

[0054] The humidity sensitivity analysis module performs sensitivity analysis on different Chinese herbal medicine pieces in the production area, including the hygroscopicity and component stability of the pieces, to obtain the appropriate humidity range Hopt(i) of different Chinese herbal medicine pieces in the production area;

[0055] The regional humidity detection module collects humidity information in the production area in real time by connecting to the Internet of Things sensors set up in different Chinese herbal medicine pieces in the production area, forms the regional real-time humidity data Hdet(t) of the Chinese herbal medicine piece production area, and associates it with the appropriate humidity interval Hopt(i) to obtain the regional humidity adjustment index Hadj(t), and transmits it in real time through the Internet of Things;

[0056] The partition control module performs fitting according to the acquired regional humidity adjustment index Hadj(t) and the regional real-time humidity data Hdet(t) to obtain the corrected humidity target value Hcorr(t) of the medicinal material production area;

[0057] The humidity adjustment feedback module adjusts the operating state of the humidity control equipment in the production area according to the corrected humidity target value Hcorr(t) by connecting to the Internet of Things device in the production area, synchronously triggers the real-time detection of the humidity information in the production area after adjustment, and fits it with the corrected humidity target value Hcorr(t) to obtain the humidity deviation state index △Herr(t), and then matches it with the preset humidity control deviation assessment threshold SZ to obtain the humidity deviation state result of the production area;

[0058] The data processing and analysis module constructs a humidity control optimization model for the humidity information of the production area and the historical humidity information according to the humidity deviation state result of the production area, and obtains the secondary adjustment humidity optimization index Hfinal through the training of the humidity control optimization model;

[0059] The effect evaluation and iteration module matches the secondary adjustment humidity optimization index Hfinal with the preset regulation comprehensive evaluation threshold PZ, obtains the production area humidity control adjustment iteration trigger result, and performs specific execution.

[0060] In this embodiment, by integrating the humidity sensitivity analysis module, the regional humidity detection module, the partition control module, the humidity adjustment feedback module, the data processing and analysis module and the effect evaluation and iteration module, the humidity management in the production process of Chinese herbal medicine slices is fully optimized. It can dynamically and accurately control the humidity in the production area, and intelligently classify and personalize the management of different humidity-sensitive slices, so as to keep the humidity in each area always within the optimal range. This real-time feedback and adjustment mechanism not only improves the accuracy of humidity control, but also significantly reduces the quality problems of slices caused by unstable humidity. Through precise humidity target setting and automatic adjustment, the system can effectively solve the hysteresis and inconsistency existing in traditional humidity control methods, prevent the negative impact of humidity fluctuations on the quality of Chinese herbal medicine slices, reduce production losses, improve production efficiency, and ultimately ensure the quality and efficacy of Chinese herbal medicine slices. Compared with the existing Chinese herbal medicine slice data acquisition and management system, the intelligent processing and real-time optimization of humidity control in this scheme significantly enhance the system's responsiveness and management accuracy, and significantly improve the overall quality control level of Chinese herbal medicine slice production.

[0061] Example 2

[0062] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the humidity sensitivity analysis module includes a data acquisition unit and a humidity analysis unit;

[0063] The data acquisition unit obtains the unique information of the Chinese herbal medicine pieces in the current production area through the Internet of Things identification device set in the Chinese herbal medicine piece production area, and simultaneously extracts the Chinese herbal medicine piece characteristic information in the current production area from the Chinese herbal medicine piece characteristic storage database according to the unique information, including the hygroscopicity parameter S(i), the component stability parameter K(i) and the preset reference humidity value Hbase(i);

[0064] The humidity analysis unit calculates the suitable humidity range Hopt(i) of the Chinese medicine slices in the current production area according to the hygroscopicity parameter S(i), the component stability parameter K(i) and the preset reference humidity value Hbase(i);

[0065] The suitable humidity range Hopt(i) is obtained by the following calculation formula:

[0066]

[0067] Where Hbase(i) represents the preset benchmark humidity value of the i-th Chinese herbal medicine slice, λ1 represents the hygroscopicity influence coefficient, which is specifically used to regulate the sensitivity of different types of Chinese herbal medicine slices to the hygroscopicity parameter S(i), and δ represents the component stability influence coefficient.

[0068] The regional humidity detection module includes an Internet of Things acquisition unit and a humidity adjustment calculation unit;

[0069] The Internet of Things acquisition unit monitors the humidity information in the production area by connecting the Internet of Things sensors set in different Chinese herbal medicine pieces in the production area, including humidity sensors, to collect the humidity information in the production area in real time, and form the regional real-time humidity data Hdet(t) of the Chinese herbal medicine piece production area;

[0070] The humidity adjustment calculation unit associates the collected regional real-time humidity data Hdet(t) with the suitable humidity interval Hopt(i), obtains the regional humidity adjustment index Hadj(t), and transmits it to the partition control module in real time through the Internet of Things.

[0071] The regional humidity adjustment index Hadj(t) is obtained by the following calculation formula:

[0072]

[0073] Where Hdet(t) represents the real-time humidity data of the region at time t, Hopt(i) represents the suitable humidity range of the i-th Chinese herbal medicine slice, α represents the humidity adjustment coefficient, β represents the environmental sensitivity coefficient, exp represents the exponential function, △E(t) represents the environmental fluctuation influencing factor, which specifically represents the fluctuation trend of the environmental information changes in the production area, including temperature and air flow rate.

[0074] In this embodiment, the unique information of the slices is obtained through the Internet of Things technology, and the key characteristic parameters are extracted from the database. The humidity analysis unit calculates the appropriate humidity interval Hopt(i) for each slice based on these parameters. The regional humidity detection module collects the humidity data Hdet(t) of the production area in real time, combines the appropriate humidity interval Hopt(i), calculates the regional humidity adjustment index Hadj(t), and transmits it in real time. This precise data processing and humidity adjustment method not only ensures the accuracy of humidity control, but also responds to environmental fluctuations through adaptive adjustment and optimizes production conditions. This solution is particularly effective in solving the shortcoming that traditional humidity control methods cannot be adjusted in real time, avoids the impact of humidity fluctuations on the quality of Chinese medicine slices, and improves the stability and reliability of the production process. Therefore, the system further reduces human intervention and operating errors through real-time data processing and automatic adjustment, optimizes the response speed and accuracy of humidity control, and improves the overall efficiency and quality assurance of Chinese medicine slice production.

[0075] Example 3

[0076] This embodiment is explained in Example 2. Please refer to Figure 1Specifically: the partition control module performs fitting according to the acquired regional humidity adjustment index Hadj(t) and the regional real-time humidity data Hdet(t) to obtain the corrected humidity target value Hcorr(t) of the medicinal material production area;

[0077] The corrected humidity target value Hcorr(t) is obtained by the following calculation formula:

[0078]

[0079] Wherein, η represents the nonlinear correction coefficient, which is specifically used to adjust the influence of humidity deviation on the calculation results of the suitable humidity interval Hopt(i) and the regional real-time humidity data Hdet(t); ε represents a small constant, which is specifically used to stabilize the calculation results when the value of the regional humidity adjustment index Hadj(t) is close to zero; σ represents the difference correction coefficient, which is specifically used to adjust the influence of the difference between the calculation results of the regional real-time humidity data Hdet(t) and the regional humidity adjustment index Hadj(t).

[0080] The humidity adjustment feedback module includes a humidity control execution unit and a humidity deviation detection unit;

[0081] The humidity control execution unit controls the operating state of the humidity control equipment in the production area according to the corrected humidity target value Hcorr(t) by connecting to the Internet of Things devices in the production area, and the control method includes adaptively controlling the operating power and operating time of the humidification equipment and the dehumidification equipment;

[0082] The humidity deviation detection unit is used to trigger real-time detection and collection of humidity information of the production area after regulation, obtain the real-time humidity data Hdet(t) of the area, and calculate the humidity deviation state index △Herr(t) with the corrected humidity target value Hcorr(t) according to the formula ΔHerr(t)=|Hdet(t)-Hcorr(t), and match it with the preset humidity control deviation assessment threshold SZ to obtain the humidity deviation state result of the production area.

[0083] The humidity deviation status result of the production area is obtained by the following matching method:

[0084]

[0085] When the matching return signal of Hstatus(t) is 1, the humidity deviation status result of the production area is obtained as an unqualified result, and secondary regulation is performed, including regulating the operating status of the humidity control equipment in the production area;

[0086] When the matching return signal of Hstatus(t) is 0, the humidity deviation status result of the production area is a qualified result, and no secondary adjustment is required.

[0087] In this embodiment, the humidity control effect of the production process of Chinese herbal medicine slices is significantly improved through precise humidity control and feedback mechanism. The partition control module first calculates the corrected humidity target value Hcorr(t) by fitting the regional humidity adjustment index Hadj(t) and the real-time humidity data Hdet(t) to ensure that the humidity is controlled within the optimal range. The humidity adjustment feedback module further applies Hcorr(t) to actual regulation, adjusts the operating status of the humidification and dehumidification equipment through the humidity control execution unit, and monitors the regulation effect in real time through the humidity deviation detection unit to calculate the humidity deviation state index △Herr(t). The key advantage of this system lies in its high degree of automation and adaptive regulation ability, which can dynamically adjust the humidity control strategy according to real-time feedback, avoiding the lag and inaccuracy problems in traditional humidity control methods. Through this precise dynamic adjustment mechanism, the system ensures that the humidity in the production area is always maintained within the target range, reduces the adverse effects of humidity deviation on the quality of Chinese herbal medicine slices, and improves production stability and product consistency. In addition, the real-time matching and feedback mechanism can effectively reduce excessive regulation and resource waste, and improve the intelligence and resource utilization efficiency of the production process.

[0088] Example 4

[0089] This embodiment is explained in Example 3, please refer to Figure 1 Specifically: the data processing and analysis module is triggered according to the humidity deviation state result of the production area to build a humidity control optimization model for the humidity information and historical humidity information of the production area, and collects the real-time humidity data Hdet(t) of the production area, the corrected humidity target value Hcorr(t) and the humidity deviation state index △Herr(t) as the data input of the model, and obtains the secondary adjustment humidity optimization index Hfinal through the training of the humidity control optimization model;

[0090] Among them, the mechanism for triggering the humidity deviation status result in the production area is specifically triggered by the following matching methods:

[0091] When the matching return signal of the humidity deviation status result of the production area is 1, and it is an unqualified result, a trigger is performed to build a humidity control optimization model for the humidity information of the production area and the historical humidity information;

[0092] When the matching return signal of the production area humidity deviation status result is 0, and it is a qualified result, no trigger is performed to build a humidity control optimization model for the production area humidity information and historical humidity information.

[0093] The secondary humidity adjustment optimization index Hfinal is obtained by the following calculation formula:

[0094]

[0095] In the formula, It represents the adjustment coefficient, which is specifically used for the influence intensity of the humidity deviation state index △Herr(t). Hdet,max represents the peak value in the real-time humidity data of the area, and Hdet,min represents the valley value in the real-time humidity data of the area.

[0096] The effect evaluation and iteration module matches the secondary adjustment humidity optimization index Hfinal with the preset regulation comprehensive evaluation threshold PZ, obtains the production area humidity control adjustment iteration trigger result, and performs specific execution;

[0097] The production area humidity control adjustment iteration trigger result is obtained by the following matching method:

[0098] When the secondary adjustment humidity optimization index Hfinal ≥ the comprehensive evaluation threshold value PZ of the control, the trigger result of the humidity control adjustment iteration in the production area is obtained to execute the iteration, and the regional humidity detection module, the partition control module, the humidity adjustment feedback module, the data processing and analysis module and the effect evaluation and iteration module are continuously executed;

[0099] When the secondary adjustment humidity optimization index Hfinal is less than the comprehensive evaluation threshold value PZ of the control, the adjustment iteration trigger result of the humidity control adjustment in the production area is obtained as not executing the iteration.

[0100] In this example, the data processing and analysis module is triggered by the humidity deviation state result, and the real-time humidity data Hdet(t), the corrected humidity target value Hcorr(t) and the humidity deviation state index △Herr(t) are used to build and train the humidity control optimization model, and calculate the secondary adjustment humidity optimization index Hfinal. This process not only improves the dynamic response capability of humidity control, but also optimizes the adjustment strategy, so that the system can automatically start the adjustment mechanism when the humidity deviation is obvious, thereby avoiding unnecessary adjustments when the humidity is qualified. By comparing with the preset comprehensive evaluation threshold PZ of the control, the system can effectively distinguish when it is necessary to perform iterative adjustments, further improving the pertinence and efficiency of the control process. This intelligent iterative mechanism ensures the continuous optimization of humidity control in the production environment, and can adapt to environmental changes in real time, reducing the impact of unstable humidity on production quality, realizing efficient, dynamic and intelligent humidity control, and greatly improving production stability and economy.

[0101] 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 management and control system for the production of Chinese herbal medicine slices based on intelligent Internet of Things, characterized by: It includes humidity sensitivity analysis module, regional humidity detection module, partition control module, humidity adjustment feedback module, data processing and analysis module and effect evaluation and iteration module; The humidity sensitivity analysis module performs sensitivity analysis on different Chinese herbal medicine pieces in the production area, including the hygroscopicity and component stability of the pieces, to obtain the appropriate humidity range Hopt(i) of different Chinese herbal medicine pieces in the production area; The regional humidity detection module collects humidity information in the production area in real time by connecting to the Internet of Things sensors set up in different Chinese herbal medicine pieces in the production area, forms the regional real-time humidity data Hdet(t) of the Chinese herbal medicine piece production area, and associates it with the appropriate humidity interval Hopt(i) to obtain the regional humidity adjustment index Hadj(t), and transmits it in real time through the Internet of Things; The partition control module performs fitting according to the acquired regional humidity adjustment index Hadj(t) and the regional real-time humidity data Hdet(t) to obtain the corrected humidity target value Hcorr(t) of the medicinal material production area; The humidity adjustment feedback module adjusts the operating state of the humidity control equipment in the production area according to the corrected humidity target value Hcorr(t) by connecting to the Internet of Things device in the production area, synchronously triggers the real-time detection of the humidity information in the production area after adjustment, and fits it with the corrected humidity target value Hcorr(t) to obtain the humidity deviation state index △Herr(t), and then matches it with the preset humidity control deviation assessment threshold SZ to obtain the humidity deviation state result of the production area; The data processing and analysis module constructs a humidity control optimization model for the humidity information of the production area and the historical humidity information according to the humidity deviation state result of the production area, and obtains the secondary adjustment humidity optimization index Hfinal through the training of the humidity control optimization model; The effect evaluation and iteration module matches the secondary adjustment humidity optimization index Hfinal with the preset regulation comprehensive evaluation threshold PZ, obtains the production area humidity control adjustment iteration trigger result, and performs specific execution.

2. According to claim 1, a management and control system for the production of Chinese herbal medicine slices based on intelligent Internet of Things is characterized by: The humidity sensitivity analysis module includes a data acquisition unit and a humidity analysis unit; The data acquisition unit obtains the unique information of the Chinese herbal medicine pieces in the current production area through the Internet of Things identification device set in the Chinese herbal medicine piece production area, and simultaneously extracts the Chinese herbal medicine piece characteristic information in the current production area from the Chinese herbal medicine piece characteristic storage database according to the unique information, including the hygroscopicity parameter S(i), the component stability parameter K(i) and the preset reference humidity value Hbase(i); The humidity analysis unit calculates the suitable humidity range Hopt(i) of the Chinese medicine slices in the current production area according to the hygroscopicity parameter S(i), the component stability parameter K(i) and the preset reference humidity value Hbase(i); The suitable humidity range Hopt(i) is obtained by the following calculation formula: Where Hbase(i) represents the preset benchmark humidity value of the i-th Chinese herbal medicine slice, λ1 represents the hygroscopicity influence coefficient, which is specifically used to regulate the sensitivity of different types of Chinese herbal medicine slices to the hygroscopicity parameter S(i), and δ represents the component stability influence coefficient.

3. According to claim 2, a management and control system for the production of Chinese herbal medicine slices based on intelligent Internet of Things is characterized by: The regional humidity detection module includes an Internet of Things acquisition unit and a humidity adjustment calculation unit; The Internet of Things acquisition unit monitors the humidity information in the production area by connecting the Internet of Things sensors set in different Chinese herbal medicine pieces in the production area, including humidity sensors, to collect the humidity information in the production area in real time, and form the regional real-time humidity data Hdet(t) of the Chinese herbal medicine piece production area; The humidity adjustment calculation unit associates the collected regional real-time humidity data Hdet(t) with the suitable humidity interval Hopt(i), obtains the regional humidity adjustment index Hadj(t), and transmits it to the partition control module in real time through the Internet of Things.

4. According to claim 3, a management and control system for Chinese herbal medicine production based on intelligent Internet of Things is characterized by: The regional humidity adjustment index Hadj(t) is obtained by the following calculation formula: Where Hdet(t) represents the real-time humidity data of the region at time t, Hopt(i) represents the suitable humidity range of the i-th Chinese herbal medicine slice, α represents the humidity adjustment coefficient, β represents the environmental sensitivity coefficient, exp represents the exponential function, △E(t) represents the environmental fluctuation influencing factor, which specifically represents the fluctuation trend of the environmental information changes in the production area, including temperature and air flow rate.

5. According to claim 4, a management and control system for the production of Chinese herbal medicine slices based on intelligent Internet of Things is characterized by: The partition control module performs fitting according to the acquired regional humidity adjustment index Hadj(t) and the regional real-time humidity data Hdet(t) to obtain the corrected humidity target value Hcorr(t) of the medicinal material production area; The corrected humidity target value Hcorr(t) is obtained by the following calculation formula: Wherein, η represents the nonlinear correction coefficient, which is specifically used to adjust the influence of humidity deviation on the calculation results of the suitable humidity interval Hopt(i) and the regional real-time humidity data Hdet(t); ε represents a small constant, which is specifically used to stabilize the calculation results when the value of the regional humidity adjustment index Hadj(t) is close to zero; σ represents the difference correction coefficient, which is specifically used to adjust the influence of the difference between the calculation results of the regional real-time humidity data Hdet(t) and the regional humidity adjustment index Hadj(t).

6. According to claim 1, a management and control system for Chinese herbal medicine production based on intelligent Internet of Things is characterized by: The humidity adjustment feedback module includes a humidity control execution unit and a humidity deviation detection unit; The humidity control execution unit controls the operating state of the humidity control equipment in the production area according to the corrected humidity target value Hcorr(t) by connecting to the Internet of Things devices in the production area, and the control method includes adaptively controlling the operating power and operating time of the humidification equipment and the dehumidification equipment; The humidity deviation detection unit is used to trigger real-time detection and collection of humidity information of the production area after regulation, obtain the real-time humidity data Hdet(t) of the area, and calculate the humidity deviation state index △Herr(t) with the corrected humidity target value Hcorr(t) according to the formula ΔHerr(t)=|Hdet(t)-Hcorr(t), and match it with the preset humidity control deviation assessment threshold SZ to obtain the humidity deviation state result of the production area.

7. A management and control system for Chinese herbal medicine production based on intelligent IoT according to claim 6, characterized in that: The humidity deviation status result of the production area is obtained by the following matching method: When the matching return signal of Hstatus(t) is 1, the humidity deviation status result of the production area is obtained as an unqualified result, and secondary regulation is performed, including regulating the operating status of the humidity control equipment in the production area; When the matching return signal of Hstatus(t) is 0, the humidity deviation status result of the production area is a qualified result, and no secondary adjustment is required.

8. According to claim 1, a management and control system for Chinese herbal medicine production based on intelligent Internet of Things is characterized by: The data processing and analysis module is triggered according to the humidity deviation state result of the production area to construct a humidity control optimization model for the humidity information and historical humidity information of the production area, and collects the real-time humidity data Hdet(t) of the production area, the corrected humidity target value Hcorr(t) and the humidity deviation state index △Herr(t) as the data input of the model, and obtains the secondary adjustment humidity optimization index Hfinal through the training of the humidity control optimization model; Among them, the mechanism for triggering the humidity deviation status result in the production area is specifically triggered by the following matching methods: When the matching return signal of the humidity deviation status result of the production area is 1, and it is an unqualified result, a trigger is performed to build a humidity control optimization model for the humidity information of the production area and the historical humidity information; When the matching return signal of the production area humidity deviation status result is 0, and it is a qualified result, no trigger is performed to build a humidity control optimization model for the production area humidity information and historical humidity information.

9. A management and control system for Chinese herbal medicine production based on intelligent IoT according to claim 8, characterized in that: The secondary humidity adjustment optimization index Hfinal is obtained by the following calculation formula: In the formula, It represents the adjustment coefficient, which is specifically used for the influence intensity of the humidity deviation state index △Herr(t). Hdet,max represents the peak value in the real-time humidity data of the area, and Hdet,min represents the valley value in the real-time humidity data of the area.

10. The control system for Chinese herbal medicine production based on intelligent IoT according to claim 1, characterized in that: The effect evaluation and iteration module matches the secondary adjustment humidity optimization index Hfinal with the preset regulation comprehensive evaluation threshold PZ, obtains the production area humidity control adjustment iteration trigger result, and performs specific execution; The production area humidity control adjustment iteration trigger result is obtained by the following matching method: When the secondary adjustment humidity optimization index Hfinal ≥ the comprehensive evaluation threshold value PZ of the control, the trigger result of the humidity control adjustment iteration in the production area is obtained to execute the iteration, and the regional humidity detection module, the partition control module, the humidity adjustment feedback module, the data processing and analysis module and the effect evaluation and iteration module are continuously executed; When the secondary adjustment humidity optimization index Hfinal is less than the comprehensive evaluation threshold value PZ of the control, the adjustment iteration trigger result of the humidity control adjustment in the production area is obtained as not executing the iteration.

Images