Traditional Chinese medicine processing process monitoring system and method based on intelligent sensor

Abstract

The invention provides a traditional Chinese medicine processing process monitoring system and method based on an intelligent sensor, and relates to the technical field of traditional Chinese medicine processing monitoring, and the system comprises a sensor module, a data acquisition and transmission module, a central control unit and data processing module, a monitoring and early warning module, and a tracing management module. The sensor module comprises a temperature sensor, a humidity sensor, a pressure sensor, a photoelectric sensor, a chemical component sensor and a gas sensor; and early warning measures in the monitoring and early warning module comprise threshold early warning, trend early warning and intelligent early warning. By arranging the monitoring and early warning module, various parameters of traditional Chinese medicine processing can be effectively and strictly controlled in the traditional Chinese medicine processing process, meanwhile, an early warning function is set, when the parameters reach or reach threshold values set in advance, alarm reminding can be conducted in time, the ingredients of medicinal materials can be well stabilized, and then the quality of medicinal material processing is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of traditional Chinese medicine processing monitoring, and in particular to a monitoring system and method for the traditional Chinese medicine preparation process based on an intelligent sensor. Background Art

[0002] As a key link in the process of Chinese medicine manufacturing, Chinese medicine processing plays a vital role in ensuring the quality, efficacy and safety of Chinese medicine. Traditional Chinese medicine processing mainly relies on the experience and skills of the processing personnel, and judges the degree and quality of processing by manually observing the temperature, color, smell and other methods. However, this traditional processing method has many disadvantages. On the one hand, manual judgment is highly subjective, and different processing personnel have different understandings and grasps of processing standards, which can easily lead to instability in the quality of Chinese medicine processing. For example, during the frying process, the control of temperature depends entirely on the operator's feeling and experience, and it is difficult to accurately ensure that each frying can reach the ideal temperature range, which may make the content of the active ingredients of the medicinal materials unstable, and even cause the active ingredients to be destroyed or produce harmful substances due to excessive temperature. On the other hand, the traditional processing process lacks real-time and accurate data recording and monitoring methods, making it difficult to fully trace and analyze the processing process. Once a quality problem occurs, it is difficult to accurately find the link and cause of the problem, which is not conducive to the improvement and optimization of the processing technology. Summary of the invention

[0003] 1. Technical issues to be resolved

[0004] In view of the deficiencies in the prior art, the present invention provides a monitoring system and method for the Chinese medicine processing process based on intelligent sensors, which solves the problems that the content of active ingredients in medicinal materials may be unstable, or even the active ingredients may be destroyed or harmful substances may be produced due to excessively high temperatures. In addition, once quality problems occur, it is difficult to accurately find the links and causes of the problems, which is not conducive to the improvement and optimization of the processing technology.

[0005] (II) Technical solution

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a monitoring system for the Chinese medicine preparation process based on intelligent sensors, comprising:

[0007] Sensor modules for monitoring data;

[0008] Data collection and transmission module for collecting and transmitting data monitored by various sensors;

[0009] A central control unit and a data processing module for processing data;

[0010] A monitoring and warning module for monitoring the processing status of traditional Chinese medicine and issuing warnings;

[0011] A traceability management module used to build a quality traceability system and manage data;

[0012] The sensor module comprises:

[0013] A temperature sensor used to monitor temperature changes during the preparation process in real time;

[0014] Humidity sensors used to monitor environmental humidity and humidity changes of medicinal materials themselves;

[0015] Pressure sensors for monitoring pressure values ​​in pressurized environments;

[0016] Photoelectric sensors used to detect the color, size and shape of medicinal materials in real time;

[0017] Chemical composition sensors used to monitor the changes in chemical composition in medicinal materials in real time;

[0018] Gas sensors used to detect volatile gases generated during the processing and to quantitatively analyze the smell of traditional Chinese medicine;

[0019] The warning measures in the monitoring and warning module include threshold warning, trend warning and intelligent warning.

[0020] Furthermore, the data acquisition and transmission module includes a data acquisition device and a communication network module. The data acquisition device is mainly responsible for collecting data monitored by various sensors and converting them into digital signals for subsequent processing and analysis. The communication network module mainly uses wired or wireless communication methods, such as Ethernet, Wi-Fi, ZigBee, to transmit the collected data to a central control unit or a cloud platform.

[0021] Furthermore, the data central control unit is usually an industrial computer or server, which has powerful computing and data storage capabilities, can process data from multiple sensors simultaneously, and run complex data analysis algorithms.

[0022] Furthermore, the data processing module mainly performs preprocessing, feature extraction, data analysis and modeling on the collected data, then removes outliers and noise through data cleaning, and then extracts characteristic parameters related to the preparation quality, such as the slope of the temperature curve and the humidity change rate.

[0023] Furthermore, the monitoring and early warning module includes a monitoring interface for Chinese medicine preparation and an early warning mechanism for Chinese medicine preparation. The monitoring interface includes an intuitive graphical interface for displaying various data and status information during the preparation process, such as real-time curves of temperature, humidity and pressure, as well as images of the appearance of the medicinal materials and changes in the content of chemical components.

[0024] Furthermore, the early warning mechanism is based on preset thresholds and rules. When the monitored data exceeds the normal range or shows abnormal trends, the system automatically sends out early warning signals, such as sound and light alarms, SMS notifications and emails, to remind managers to take timely measures to adjust and handle them to prevent quality accidents.

[0025] Furthermore, the traceability and management module includes building a traceability system and storing and managing data. The traceability system establishes detailed production files and quality traceability system for each batch of traditional Chinese medicine products by recording and managing key data and information in the production process.

[0026] Furthermore, the data storage and management will store all the collected data for a long time, establish a complete database management system, and facilitate data query, retrieval and analysis. At the same time, the data will be classified, archived and backed up to ensure the security and integrity of the data.

[0027] A method for monitoring the Chinese medicine processing process based on an intelligent sensor comprises the following steps:

[0028] S1: Sensor installation and calibration, determine the installation position of the sensor and complete the calibration operation of the sensor;

[0029] S2: Data collection is initialized, parameters are determined according to the Chinese medicine processing process, and the system is started to check whether the sensors and data collection equipment are operating normally;

[0030] S3: Real-time data collection, continuously collecting and monitoring various data during the preparation of traditional Chinese medicine and temporarily storing the collected data;

[0031] S4: Data preprocessing, processing abnormal values ​​of sensor collected data, and cleaning and format conversion of data;

[0032] S5: Feature extraction and analysis: extract the key features of the data and conduct correlation analysis between the extracted features and the quality standards of Chinese medicine processing;

[0033] S6: Processing process evaluation and decision-making: evaluate the quality of the current Chinese medicine processing process based on the results of feature analysis, and make corresponding decisions based on the evaluation results;

[0034] S7: Early warning and recording. By setting up an early warning trigger mechanism, timely reminders can be given when quality problems or safety hazards occur, and the data of Chinese medicine preparation can be recorded and reported afterwards.

[0035] Furthermore, a decision is made in S6, and when the processing is normal, the processing continues according to the current process parameters; if quality problems occur, the processing process parameters are adjusted.

[0036] (III) Beneficial effects

[0037] The present invention provides a monitoring system and method for the Chinese medicine preparation process based on intelligent sensors, which has the following beneficial effects:

[0038] 1. In this scheme, by setting up the monitoring and early warning module, it is possible to effectively implement strict control of various parameters of Chinese medicine preparation during the preparation process, and set an early warning function at the same time. When the parameters reach or exceed the threshold set in advance, an alarm reminder can be given in time, which can stabilize the composition of the medicinal materials well and thus ensure the quality of the medicinal materials preparation.

[0039] 2. In this solution, detailed records are set for various parameters of Chinese medicine processing. These records can be used to generate processing process reports, which are convenient for subsequent quality traceability and improvement and optimization of Chinese medicine processing technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a schematic diagram of the architecture of a monitoring system for the Chinese medicine preparation process based on intelligent sensors proposed in the present invention;

[0041] Figure 2 This is a schematic diagram of the sensor module architecture of a Chinese medicine preparation process monitoring system based on intelligent sensors proposed by the present invention;

[0042] Figure 3 The present invention is a flowchart of a method for monitoring the Chinese medicine preparation process based on intelligent sensors. DETAILED DESCRIPTION

[0043] 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.

[0044] Example:

[0045] like Figure 1-3 As shown, an embodiment of the present invention provides a monitoring system for the Chinese medicine preparation process based on an intelligent sensor, comprising:

[0046] Sensor modules for monitoring data;

[0047] The sensor module includes:

[0048] Temperature sensors used to monitor temperature changes during the preparation process in real time, such as in the process of frying and calcining, to accurately control the temperature range to ensure the preparation effect. For example, when frying hawthorn, the temperature sensor can accurately control the heat to avoid excessively high or low temperatures that affect the efficacy of the medicine;

[0049] Humidity sensors are used to monitor the humidity of the environment and the humidity changes of the medicinal materials themselves. For some processing processes that have strict requirements on humidity, such as fermentation and moistening, the humidity is ensured to be within an appropriate range to promote the processing reaction of the medicinal materials.

[0050] Pressure sensors used to monitor pressure values ​​in pressurized environments. In some pressurized processing processes, such as high-pressure steaming, pressure sensors can monitor pressure values ​​in real time to ensure that the pressure meets the processing requirements and ensure the quality of medicinal materials and processing effects;

[0051] Photoelectric sensors used to detect the color, size and shape of medicinal materials in real time can be used to detect changes in the appearance of medicinal materials before and after processing, determine whether the medicinal materials are over- or under-processed, and ensure the consistency of the quality of medicinal materials processing;

[0052] Gas sensors used to detect volatile gases generated during the processing and to quantitatively analyze the smell of traditional Chinese medicine, such as electronic noses, can monitor the degree and quality of the processing of traditional Chinese medicines through the quantitative analysis results of traditional Chinese medicines, and can also identify the "smell" differences between different processed products, which helps to improve quality standards;

[0053] Chemical composition sensors used to monitor the changes in chemical composition of medicinal materials in real time, such as electrochemical sensors, can detect the changes in chemical composition of medicinal materials in real time, such as the content of effective ingredients, the residue of harmful substances, etc., providing a more direct basis for the quality control of the processing process;

[0054] The data acquisition and transmission module is used to collect and transmit the data monitored by various sensors. The data acquisition and transmission module includes data acquisition equipment and communication network modules. The data acquisition equipment is mainly responsible for collecting the data monitored by various sensors and converting them into digital signals for subsequent processing and analysis. These devices need to have the characteristics of high precision, high stability and fast response to ensure that the collected data is accurate and reliable. The communication network module mainly uses wired or wireless communication methods, such as Ethernet, Wi-Fi, ZigBee, to transmit the collected data to the central control unit or cloud platform to ensure the real-time and stability of data transmission, so that managers can obtain information in the preparation process in a timely manner;

[0055] Central control unit and data processing module for processing data. The data central control unit is usually an industrial computer or server with powerful computing and data storage capabilities. It can process data from multiple sensors at the same time and run complex data analysis algorithms.

[0056] The data processing module mainly performs preprocessing, feature extraction, data analysis and modeling on the collected data, then removes outliers and noise through data cleaning, and then extracts characteristic parameters related to the processing quality, such as the slope of the temperature curve and the rate of change of humidity. By using data analysis algorithms such as statistical analysis, machine learning, deep learning, etc., quality prediction models and process monitoring models are established to achieve real-time evaluation and prediction of the processing process;

[0057] The monitoring and early warning module is used to monitor the processing status of traditional Chinese medicine and issue early warnings. The monitoring and early warning module includes a monitoring interface for processing traditional Chinese medicine and an early warning mechanism for processing traditional Chinese medicine. The monitoring interface includes an intuitive graphical interface to display various data and status information during the processing process, such as real-time curves of temperature, humidity and pressure, as well as images of the appearance of medicinal materials and changes in the content of chemical components. Management personnel can understand the progress of the processing process in real time through the monitoring interface and discover problems in a timely manner;

[0058] The early warning mechanism is based on preset thresholds and rules. When the monitored data exceeds the normal range or shows abnormal trends, the system automatically sends out early warning signals, such as sound and light alarms, SMS notifications and emails, to remind managers to take timely measures to adjust and deal with them to prevent quality accidents.

[0059] The traceability management module is used to build a quality traceability system and manage data. The traceability and management module includes building a traceability system and storing and managing data. The traceability system records and manages key data and information in the production process, establishes detailed production files and quality traceability systems for each batch of Chinese medicine products, and realizes full traceability from the procurement of medicinal materials, the selection of processing technology, the monitoring of process parameters to the inspection of the final product. Once a quality problem occurs, the cause can be quickly located and effective corrective measures can be taken;

[0060] Data storage and management All collected data will be stored for a long time, and a complete database management system will be established to facilitate data query, retrieval and analysis. At the same time, the data will be classified, archived and backed up to ensure data security and integrity;

[0061] The warning measures in the monitoring and warning module include threshold warning, trend warning and intelligent warning.

[0062] A method for monitoring the Chinese medicine processing process based on an intelligent sensor comprises the following steps:

[0063] S1: Sensor installation and calibration, determine the installation position of the sensor and complete the calibration operation of the sensor;

[0064] Determine the best installation position of the sensor in the processing equipment according to different processing techniques and monitoring requirements. For example, in a frying pan, the temperature sensor should be installed at a position that can accurately reflect the temperature of the bottom of the pan, because the bottom of the pan is the direct heating area and is crucial to the control of the heat. For humidity sensors, if the humidity change of the medicinal materials themselves is to be monitored, they can be installed near the medicinal materials, but they cannot be in contact with the frying medium (such as sand or salt) to avoid interference.

[0065] For example, in steaming equipment, the pressure sensor should be installed in the steamer where it can truly reflect the internal pressure. At the same time, it should be waterproof and corrosion-resistant, because there is a lot of steam during the steaming process. The photoelectric sensor is used to observe the changes in the appearance of medicinal materials and should be installed in a position where the medicinal materials can be clearly seen as a whole, such as near the transparent observation window of the processing container;

[0066] The sensor needs to be calibrated before use. For temperature sensors, a standard temperature source (such as a high-precision constant temperature bath) can be used. The sensor is placed in an environment with a known temperature and the output parameters of the sensor are adjusted to match the standard temperature value.

[0067] Humidity sensors can be calibrated using the saturated salt solution method. Different saturated salt solutions have fixed humidity values ​​at a certain temperature. The sensor is placed in these environments to calibrate the accuracy of its humidity measurement.

[0068] The pressure sensor can be calibrated by inputting a known pressure value through a standard pressure calibrator to adjust the sensor output to ensure the accuracy of pressure measurement. The photoelectric sensor can be calibrated by using a standard color card and an object of known size to calibrate its color and size measurement functions.

[0069] S2: Data collection is initialized, parameters are determined according to the Chinese medicine processing process, and the system is started to check whether the sensors and data collection equipment are operating normally;

[0070] For example, during the frying process, the temperature data collection frequency can be set to collect data every 1-2 seconds, because the temperature changes relatively quickly during the frying process; and for some slowly changing processes, such as the soaking process of some medicinal materials, the humidity data collection frequency can be appropriately reduced to collect data every 30 seconds to 60 seconds, and the data type collected can be set at the same time. In addition to basic physical parameters such as temperature, humidity, and pressure, the frequency and format of collecting image data of photoelectric sensors and composition data of gas sensors can also be set according to needs;

[0071] After completing the parameter setting, start the data acquisition system and check whether the connection between each sensor and the data acquisition device is normal to ensure that the data can be transmitted smoothly. At this time, the acquisition system starts to receive the initial data from the sensor, which will serve as the basic data for monitoring the preparation process.

[0072] S3: Real-time data collection, continuously collects and monitors various data during the preparation of traditional Chinese medicine and temporarily stores the collected data. During the preparation of traditional Chinese medicine, the sensor continues to work and transmits the monitored data to the data collection device in real time;

[0073] For example, during the calcination process, the temperature sensor continuously transmits temperature data. As the calcination time increases, the temperature gradually rises, and the data acquisition device records the temperature change curve over time;

[0074] For the processing of medicinal materials containing volatile components, gas sensors detect changes in chemical components in the air in real time, such as detecting changes in volatile oil components produced during the processing of frankincense to reflect the degree of processing;

[0075] The collected data is first temporarily stored in the local data cache area, and then transmitted to the central control unit or cloud platform through wired (such as Ethernet) or wireless (such as Wi-Fi, ZigBee, etc.) communication methods. During the transmission process, data encryption and verification technology is used to ensure the integrity and security of the data and prevent data loss or tampering;

[0076] S4: Data preprocessing, processing abnormal values ​​of sensor collected data, and cleaning and format conversion of data;

[0077] Since the sensor may be disturbed or fail, abnormal values ​​may appear in the collected data. For example, the temperature sensor suddenly shows an extremely high or low value, which obviously does not conform to the normal processing temperature range. Statistical methods such as the 3σ principle (data values ​​falling outside the range of mean ±3 times standard deviation are considered abnormal values) can be used to identify and eliminate these abnormal values. Sliding window filtering can also be used to perform statistical analysis on the data within a certain time window, and points that deviate from the normal data distribution are considered abnormal values ​​for processing;

[0078] Data cleaning includes removing noise from the data. For example, the collected pressure data may fluctuate slightly due to equipment vibration. The data can be smoothed by low-pass filtering and other methods. At the same time, the data collected by different sensors are converted into a unified format for subsequent data analysis. For example, temperature data is converted from the original voltage signal of the sensor to standard temperature units of Celsius or Fahrenheit, and image data is converted into a format suitable for computer analysis (such as JPEG, PNG, etc.);

[0079] S5: Feature extraction and analysis: extract the key features of the data and conduct correlation analysis between the extracted features and the quality standards of Chinese medicine processing;

[0080] Extract features closely related to the quality of Chinese medicine processing from the preprocessed data, such as the heating rate, maximum temperature, and temperature holding time from the temperature data curve; extract features such as the humidity drop rate (during the drying process) and equilibrium humidity from the humidity data; for the image data collected by the photoelectric sensor, extract the color features of the medicinal materials (such as RGB value, hue, saturation, and brightness, etc.) and shape features (such as area, perimeter, and aspect ratio, etc.), which can reflect the changes in the appearance of the medicinal materials before and after processing. For example, the color of the medicinal materials becomes darker after frying, and the shape may change due to shrinkage;

[0081] Among them, correlation analysis is to establish a relationship model between characteristic parameters and processing quality (such as active ingredient content, degree of toxic component removal, taste, etc.) through historical data and experimental research. For example, research has found that when a certain medicinal material is fried, when the temperature reaches a certain value and is maintained for a certain period of time, the dissolution rate of its active ingredients will increase significantly. Then this temperature and time feature is positively correlated with the processing quality.

[0082] S6: Processing process evaluation and decision-making: evaluate the quality of the current Chinese medicine processing process based on the results of feature analysis, and make corresponding decisions based on the evaluation results. If the processing process is normal, continue to follow the current process parameters; if there are quality problems, adjust the processing process parameters;

[0083] If the extracted characteristic parameters are all within the pre-set quality standard range, then it can be judged that the current processing process is normal; if some parameters are out of range, such as the temperature is too high causing the color of the medicinal material to change beyond the normal range, or the active ingredient content is lower than the standard value, then it is judged that there may be problems with the processing quality;

[0084] For example, when insufficient humidity affects the soaking effect of medicinal materials, the humidity can be appropriately increased or the soaking time can be extended; when the temperature is too high and may cause the medicinal materials to burn, the heating power can be reduced or the stir-frying interval can be extended;

[0085] S7: Early warning and recording. By setting up an early warning trigger mechanism, timely reminders can be given when quality problems or safety hazards occur, and then the data of Chinese medicine processing can be recorded and reported;

[0086] When the monitored data characteristics indicate that there may be serious quality problems or safety hazards in the processing process (such as excessive pressure may cause explosion, excessive temperature may cause fire, etc.), the system immediately triggers the early warning mechanism. The early warning method can be sound and light alarm, which will sound an alarm and flash lights in the processing workshop to remind on-site operators; it can also notify management personnel through SMS, APP push, etc.

[0087] By recording in detail all the data in the entire processing process, including the original data collected by the sensor, pre-processed data, feature extraction results, quality assessment reports, etc., these records can be used to generate processing process reports to facilitate subsequent quality traceability and process optimization. For example, if a batch of medicinal materials is unqualified after processing, by checking the records, you can accurately find out which link has a problem, such as improper temperature control or too long time.

[0088] 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 monitoring system for the preparation process of traditional Chinese medicine based on intelligent sensors, characterized in that: include; Sensor modules for monitoring data; Data collection and transmission module for collecting and transmitting data monitored by various sensors; A central control unit and a data processing module for processing data; A monitoring and warning module for monitoring the processing status of traditional Chinese medicine and issuing warnings; A traceability management module used to build a quality traceability system and manage data; The sensor module comprises: A temperature sensor used to monitor temperature changes during the preparation process in real time; Humidity sensors used to monitor environmental humidity and humidity changes of medicinal materials themselves; Pressure sensors for monitoring pressure values ​​in pressurized environments; Photoelectric sensors used to detect the color, size and shape of medicinal materials in real time; Chemical composition sensors used to monitor the changes in chemical composition in medicinal materials in real time; Gas sensors used to detect volatile gases generated during the processing and to quantitatively analyze the smell of traditional Chinese medicine; The warning measures in the monitoring and warning module include threshold warning, trend warning and intelligent warning.

2. The Chinese medicine processing process monitoring system based on intelligent sensors according to claim 1 is characterized in that: The data acquisition and transmission module includes a data acquisition device and a communication network module. The data acquisition device is mainly responsible for collecting data monitored by various sensors and converting them into digital signals for subsequent processing and analysis. The communication network module mainly uses wired or wireless communication methods, such as Ethernet, Wi-Fi, ZigBee, to transmit the collected data to a central control unit or a cloud platform.

3. The Chinese medicine processing process monitoring system based on intelligent sensors according to claim 1 is characterized in that: The data central control unit is usually an industrial computer or server with powerful computing and data storage capabilities. It can process data from multiple sensors simultaneously and run complex data analysis algorithms.

4. The intelligent sensor-based monitoring system for Chinese medicine processing process according to claim 1, characterized in that: The data processing module mainly performs preprocessing, feature extraction, data analysis and modeling on the collected data, then removes outliers and noise through data cleaning, and then extracts characteristic parameters related to the processing quality, such as the slope of the temperature curve and the humidity change rate.

5. The intelligent sensor-based monitoring system for Chinese medicine processing process according to claim 1, characterized in that: The monitoring and early warning module includes a monitoring interface for Chinese medicine preparation and an early warning mechanism for Chinese medicine preparation. The monitoring interface displays various data and status information during the preparation process in an intuitive graphical interface, such as real-time curves of temperature, humidity and pressure, as well as images of the appearance of the medicinal materials and changes in the content of chemical components.

6. The intelligent sensor-based monitoring system for Chinese medicine processing process according to claim 5, characterized in that: The early warning mechanism is based on preset thresholds and rules. When the monitored data exceeds the normal range or shows abnormal trends, the system automatically sends out early warning signals, such as sound and light alarms, SMS notifications and emails, to remind managers to take timely measures to adjust and handle them to prevent quality accidents.

7. The intelligent sensor-based monitoring system for Chinese medicine processing process according to claim 1, characterized in that: The traceability and management module includes building a traceability system and storing and managing data. The traceability system establishes detailed production files and quality traceability system for each batch of traditional Chinese medicine products by recording and managing key data and information in the production process.

8. The intelligent sensor-based monitoring system for Chinese medicine processing process according to claim 7, characterized in that: The data storage and management will store all the collected data for a long time, establish a complete database management system, and facilitate data query, retrieval and analysis. At the same time, the data will be classified, archived and backed up to ensure the security and integrity of the data.

9. A method for monitoring the processing of traditional Chinese medicine based on intelligent sensors, characterized in that: The following steps are involved: S1: Sensor installation and calibration, determine the installation position of the sensor and complete the calibration operation of the sensor; S2: Data collection is initialized, parameters are determined according to the Chinese medicine processing process, and the system is started to check whether the sensors and data collection equipment are operating normally; S3: Real-time data collection, continuously collecting and monitoring various data during the preparation of traditional Chinese medicine and temporarily storing the collected data; S4: Data preprocessing, processing abnormal values ​​of sensor collected data, and cleaning and format conversion of data; S5: Feature extraction and analysis: extract the key features of the data and conduct correlation analysis between the extracted features and the quality standards of Chinese medicine processing; S6: Processing process evaluation and decision-making: evaluate the quality of the current Chinese medicine processing process based on the results of feature analysis, and make corresponding decisions based on the evaluation results; S7: Early warning and recording. By setting up an early warning trigger mechanism, timely reminders can be given when quality problems or safety hazards occur, and the data of Chinese medicine preparation can be recorded and reported afterwards.

10. The method for monitoring the processing of traditional Chinese medicine based on intelligent sensors according to claim 1, characterized in that: The decision is made in S6. If the preparation process is normal, the current process parameters are continued; if quality problems occur, the preparation process parameters are adjusted.

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