A traditional Chinese medicine processing process monitoring system and method based on intelligent sensors

Abstract

The application provides a traditional Chinese medicine processing monitoring system and method based on intelligent sensors, and relates to the technical field of traditional Chinese medicine processing monitoring, which comprises a sensor module, a data acquisition and transmission module, a central control unit and a data processing module, a monitoring and early warning module and a traceability 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; the measures for early warning in the monitoring and early warning module comprise threshold early warning, trend early warning and intelligent early warning. Through the setting of the monitoring and early warning module, the parameters of traditional Chinese medicine processing can be effectively controlled, the early warning function is set, and when the parameters reach or exceed the set threshold, timely alarm and reminder can be given, the components of medicinal materials can be stabilized, and the quality of medicinal material processing can be ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of traditional Chinese medicine processing monitoring, in particular to a traditional Chinese medicine processing process monitoring system and method based on intelligent sensors. BACKGROUND

[0002] Traditional Chinese medicine processing, as a key link in the process of traditional Chinese medicine manufacturing, plays a crucial role in ensuring the quality, efficacy and safety of traditional Chinese medicine. Traditional Chinese medicine processing mainly relies on the experience and skills of processing personnel, and the degree and quality of processing are judged by artificial observation of fire, color, smell and other methods. However, this traditional processing method has many drawbacks. On the one hand, artificial judgment is highly subjective, and different processing personnel have different understandings and grasps of processing standards, which may lead to unstable quality of traditional Chinese medicine processing. For example, in the process of frying, the control of temperature completely depends on the feeling and experience of the operator, and it is difficult to accurately ensure that each frying can reach the ideal temperature range, which may make the content of effective components of medicinal materials unstable, and even destroy the effective components or produce harmful substances due to high temperature. On the other hand, the traditional processing process lacks real-time and accurate data recording and monitoring means, and it is difficult to conduct comprehensive traceability and quality analysis on the processing process. Once quality problems occur, it is difficult to accurately find out the links and reasons of the problems, which is not conducive to the improvement and optimization of processing technology. SUMMARY

[0003] (I) Technical problems solved

[0004] In view of the deficiencies of the prior art, the present application provides a traditional Chinese medicine processing process monitoring system and method based on intelligent sensors, which solves the problems that the content of effective components of medicinal materials may be unstable, and even the effective components may be destroyed or harmful substances may be produced due to high temperature, and it is difficult to accurately find out the links and reasons of the problems once quality problems occur, which is not conducive to the improvement and optimization of processing technology.

[0005] (II) Technical solutions

[0006] To achieve the above purpose, the present application is implemented by the following technical solutions: a traditional Chinese medicine processing process monitoring system based on intelligent sensors, comprising:

[0007] a sensor module for monitoring data;

[0008] a data acquisition and transmission module for acquiring and transmitting data monitored by various sensors;

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

[0010] a monitoring and early warning module for monitoring the processing state of traditional Chinese medicine and giving early warning;

[0011] a traceability management module for building a quality traceability system and managing data;

[0012] The sensor module comprises:

[0013] a temperature sensor for monitoring temperature changes in real time during the processing;

[0014] a humidity sensor for monitoring changes in environmental humidity and the humidity of the medicinal materials themselves;

[0015] a pressure sensor for monitoring pressure values in a pressurized environment;

[0016] a photoelectric sensor for real-time detection of the color, size, and shape of medicinal materials;

[0017] a chemical composition sensor for real-time monitoring of changes in chemical composition in medicinal materials;

[0018] a gas sensor for detecting volatile gases produced during processing and quantitatively analyzing the odor of traditional Chinese medicines;

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

[0020] Further, 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 it 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 collected data to a central control unit or cloud platform.

[0021] Further, the data central control unit is usually an industrial computer or server with powerful computing and data storage capabilities, capable of simultaneously processing data from multiple sensors and running complex data analysis algorithms.

[0022] Further, the data processing module mainly preprocesses, extracts features, analyzes data, and models the collected data, then removes outliers and noise through data cleaning, and then extracts feature parameters related to processing quality, such as the slope of the temperature curve and the humidity change rate.

[0023] Further, the monitoring and early warning module includes a monitoring interface for traditional Chinese medicine processing and an early warning mechanism for traditional Chinese medicine processing. The monitoring interface includes a graphical interface that displays various data and state information during processing, such as real-time curves of temperature, humidity, and pressure, as well as images of medicinal materials and changes in chemical composition content.

[0024] Furthermore, the aforementioned early warning mechanism automatically issues early warning signals, such as audible and visual alarms, SMS notifications, and emails, when the monitored data exceeds the normal range or exhibits an abnormal trend, based on preset thresholds and rules. This alerts managers to take timely measures for adjustment and handling to prevent quality incidents from occurring.

[0025] Furthermore, the traceability and management module includes building a traceability system and storing and managing data. The traceability system establishes detailed production records and a 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 system will store all collected data long-term, establishing a comprehensive database management system to facilitate data querying, retrieval, and analysis. Simultaneously, the data will be classified, archived, and backed up to ensure data security and integrity.

[0027] A method for monitoring the processing of traditional Chinese medicine based on intelligent sensors includes the following steps:

[0028] S1: Sensor installation and calibration, determining the sensor installation location and completing the sensor calibration operation;

[0029] S2: Data acquisition initialization, determine parameters according to the traditional Chinese medicine processing technology, and at the same time start the system to check whether the sensors and data acquisition equipment are operating normally;

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

[0031] S4: Data preprocessing, which handles outliers in the sensor-collected data, and also cleans and converts the data format;

[0032] S5: Feature extraction and analysis, extracting key features from the data, and then performing correlation analysis between the extracted features and the quality standards of traditional Chinese medicine processing;

[0033] S6: Processing process evaluation and decision-making. Based on the results of characteristic analysis, the quality of the current Chinese medicine processing process is evaluated, and corresponding decisions are made 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 then the data on the processing of traditional Chinese medicine can be recorded and reported.

[0035] Furthermore, in S6, a decision is made to continue the current process parameters if the processing is normal; if a quality problem occurs, the processing parameters are adjusted.

[0036] (III) Beneficial Effects

[0037] This invention provides a monitoring system and method for the processing of traditional Chinese medicine based on intelligent sensors. It has the following beneficial effects:

[0038] 1. In this solution, by setting up a monitoring and early warning module, it is possible to effectively control various parameters of traditional Chinese medicine processing. At the same time, the early warning function can promptly issue an alarm when parameters reach or pre-set thresholds, which can effectively stabilize the composition of medicinal materials and thus ensure the quality of processed medicinal materials.

[0039] 2. In this solution, various parameters for processing Chinese medicine are recorded in detail. These records can be used to generate processing reports, which facilitates subsequent quality traceability and improvement and optimization of the processing technology of Chinese medicine. Attached Figure Description

[0040] Fig. 1 This is a schematic diagram of the architecture of a monitoring system for the processing of traditional Chinese medicine based on intelligent sensors, as proposed in this invention.

[0041] Fig. 2 This is a schematic diagram of the sensor module architecture of a traditional Chinese medicine processing monitoring system based on intelligent sensors proposed in this invention.

[0042] Fig. 3 This is a flowchart of a method for monitoring the processing of traditional Chinese medicine based on intelligent sensors, as proposed in this invention. Detailed Implementation

[0043] 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.

[0044] Example:

[0045] like Figs. 1-3 As shown, this embodiment of the invention provides a monitoring system for the processing of traditional Chinese medicine based on intelligent sensors, including:

[0046] Sensor modules used for monitoring data;

[0047] The sensor module includes:

[0048] Temperature sensor for real-time monitoring of temperature changes during processing, such as during frying, calcination, etc. Precise temperature control ensures processing effect, for example, when frying hawthorn, temperature sensor can accurately control the temperature to avoid excessive or insufficient temperature affecting drug efficacy;

[0049] Humidity sensor for monitoring environmental humidity and changes in the humidity of medicinal materials, which is essential for some strict humidity processing techniques such as fermentation and medicine moistening to ensure humidity within an appropriate range to promote processing reactions of medicinal materials;

[0050] Pressure sensor for monitoring pressure values in a pressurized environment, which can monitor pressure values in real time during some pressurized processing techniques such as high-pressure steaming to ensure that the pressure meets processing requirements and guarantees the quality and processing effect of medicinal materials;

[0051] Photoelectric sensor for real-time detection of color, size, and shape of medicinal materials, which can be used to detect changes in appearance before and after processing to determine whether processing is excessive or insufficient and ensure the quality consistency of processed medicinal materials;

[0052] Gas sensor for detecting volatile gases produced during processing and quantitatively analyzing the odor of traditional Chinese medicines, such as electronic nose, which can monitor the degree and quality of medicinal material processing through quantitative analysis results and also identify the odor differences between different processed products, helping to improve quality standards;

[0053] Chemical component sensor for real-time monitoring of changes in chemical components in medicinal materials, such as electrochemical sensor, which can detect changes in chemical components in medicinal materials such as the content of active ingredients and the residue of harmful substances, providing more direct evidence for quality control during processing;

[0054] Data acquisition and transmission module for collecting and transmitting data monitored by various sensors, which includes data acquisition equipment and communication network module. Data acquisition equipment is mainly responsible for collecting data monitored by various sensors and converting them into digital signals for subsequent processing and analysis. These devices need to have high precision, high stability, and fast response to ensure accurate and reliable data collection. Communication network module mainly uses wired or wireless communication methods such as Ethernet, Wi-Fi, and ZigBee to transmit collected data to a central control unit or cloud platform to ensure real-time and stable data transmission so that management personnel can obtain information about processing in a timely manner;

[0055] The central control unit for processing data and the data processing module, the data central control unit is usually an industrial computer or server, with powerful computing power and data storage capacity, can process the data of multiple sensors at the same time, and run complex data analysis algorithm;

[0056] The data processing module mainly preprocesses, extracts features, analyzes data and models the collected data, then removes outliers and noise through data cleaning, and then extracts feature parameters related to processing quality, such as temperature curve slope and humidity change rate, and establishes quality prediction model and process monitoring model by using data analysis algorithm such as statistical analysis, machine learning and deep learning, to realize real-time evaluation and prediction of processing process;

[0057] The monitoring and early warning module for monitoring the state of traditional Chinese medicine processing and giving early warning, the monitoring and early warning module includes a monitoring interface for traditional Chinese medicine processing and an early warning mechanism for traditional Chinese medicine processing, the monitoring interface contains a graphical interface for displaying various data and state information in the processing process, such as real-time curves of temperature, humidity and pressure, as well as appearance images of medicinal materials and content changes of chemical components, management personnel can understand the progress of processing process in real time through the monitoring interface and find problems in time;

[0058] The early warning mechanism is based on preset threshold and rules, when the monitored data exceeds the normal range or shows abnormal trend, the system automatically sends early warning signal such as sound and light alarm, SMS notification and email to remind management personnel to take measures to adjust and handle in time to prevent quality accidents;

[0059] The traceability management module for building quality traceability system and managing data, the traceability and management module includes building traceability system and data storage and management, the traceability system records and manages key data and information in the production process, establishes detailed production files and quality traceability system for each batch of traditional Chinese medicine products, realizes whole process traceability from medicinal material procurement, processing technology selection, process parameter monitoring to final product testing, and can quickly locate the cause of quality problems and take effective corrective measures;

[0060] Data storage and management stores all collected data for a long time, establishes a perfect database management system, facilitates data query, retrieval and analysis, and at the same time classifies, archives and backs up data to ensure data security and integrity;

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

[0062] A method for monitoring traditional Chinese medicine processing based on intelligent sensor, comprising 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] According to different processing technology and monitoring requirements, determine the best installation position of the sensor in the processing equipment, for example, in the frying pan, the temperature sensor should be installed in the position that can accurately reflect the temperature of the pan bottom, because the pan bottom is the direct heating area, and it is very important to grasp the fire; For humidity sensor, if it is used to monitor the humidity change of medicinal materials, it can be installed near the medicinal materials, but it cannot contact the frying medium (such as sand or salt) to avoid interference;

[0065] For example, in the steaming equipment, the pressure sensor should be installed in the place that can truly reflect the internal pressure of the steaming pot, and at the same time, waterproof and corrosion resistance should be considered, because there is a lot of steam in the steaming process, the photoelectric sensor is used to observe the appearance change of medicinal materials, and should be installed in the position that can clearly see the whole medicinal materials, such as near the transparent observation window of the processing container;

[0066] Before using the sensor, it needs to be calibrated. For temperature sensor, standard temperature source (such as high-precision constant temperature tank) can be used, the sensor is put into the environment with known temperature, and the output parameter of the sensor is adjusted to make it consistent with the standard temperature value;

[0067] Humidity sensor can be calibrated by saturated salt solution method. Different saturated salt solutions have fixed humidity values at certain temperatures. The sensor is placed in these environments to calibrate the accuracy of humidity measurement;

[0068] The pressure sensor can be calibrated by standard pressure calibration instrument, and the known pressure value is input to adjust the output of the sensor to ensure the accuracy of pressure measurement. The photoelectric sensor can be calibrated by standard color card and object with known size to calibrate its color and size measurement function;

[0069] S2: Data acquisition initialization, determine the parameters according to the processing technology of traditional Chinese medicine, and start the system to check whether the sensor and data acquisition equipment are running normally;

[0070] For example, in the frying process, the temperature data acquisition frequency can be set to collect once every 1-2 seconds, because the temperature changes relatively quickly in the frying process; while for some slow changing process, such as the soaking process of some medicinal materials, the humidity data acquisition frequency can be appropriately reduced, set to collect once every 30-60 seconds, and set the type of collected data, in addition to the basic physical parameters such as temperature, humidity and pressure, the frequency and format of collecting image data of photoelectric sensor and component data of gas sensor can also be set according to the needs;

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

[0072] S3: Real-time data acquisition, continuously collect and monitor various data during the processing of traditional Chinese medicine, and temporarily store the collected data. During the processing of traditional Chinese medicine, the sensor continuously works and transmits the monitored data to the data acquisition device in real time;

[0073] For example, during calcination, 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 processing of medicinal materials containing volatile components, gas sensors detect the changes in chemical components in the air in real time, such as detecting the changes in volatile oil components produced during the processing of frankincense to reflect the processing degree;

[0075] The collected data is first temporarily stored in the local data buffer 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. During transmission, data encryption and verification techniques are used to ensure data integrity and security, preventing data loss or tampering;

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

[0077] Due to possible interference or failure of the sensor, abnormal values may appear in the collected data, such as a sudden high or low value of the temperature sensor, which is obviously not within the normal processing temperature range. Statistical methods such as the 3σ principle (data values 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 method can also be used to statistically analyze the data within a certain time window, and points deviating from the normal data distribution are considered abnormal values for processing;

[0078] Data cleaning includes removing noise in the data, such as small fluctuations in the collected pressure data due to device vibration, which can be smoothed by low-pass filtering, etc. At the same time, the data collected by different sensors is converted to a unified format for subsequent data analysis, such as converting temperature data from the original voltage signal of the sensor to standard temperature units of Celsius or Fahrenheit, and converting image data to a format suitable for computer analysis (such as JPEG, PNG, etc.);

[0079] S5: Feature extraction and analysis, extract key features of the data, and analyze the extracted features with the quality standards of traditional Chinese medicine processing;

[0080] From the pre-processed data, features closely related to the quality of traditional Chinese medicine processing are extracted, such as the temperature rise rate, maximum temperature, and temperature holding time from the temperature data curve; the humidity drop rate (in the drying process), equilibrium humidity from the humidity data; for image data collected by photoelectric sensors, color features (such as RGB values, hue, saturation, and brightness) and shape features (such as area, perimeter, and aspect ratio) can be extracted, which can reflect the appearance changes of medicinal materials before and after processing, such as the color of fried medicinal materials becoming darker and the shape changing due to shrinkage;

[0081] Among them, the correlation analysis is to establish the relationship model between the feature parameters and the processing quality (such as the content of effective components, the removal degree of toxic components, and the taste) through historical data and experimental research, for example, research shows that the dissolution rate of effective components of a certain medicinal material will significantly increase when the temperature reaches a certain value and is maintained for a certain time during frying, so 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 traditional Chinese medicine processing process according to the results of feature analysis, and make appropriate decisions according to the evaluation results, continue according to the current process parameters if the processing process is normal; if there is a quality problem, adjust the processing parameters;

[0083] If the extracted feature parameters are within the pre-set quality standard range, it can be judged that the current processing process is normal; if some parameters are out of range, such as excessive temperature causing color change of medicinal materials beyond the normal range, or effective component content detection below the standard value, it is determined that the processing quality may have problems;

[0084] For example, when the humidity is insufficient to affect the effect of medicinal material conditioning, the environmental humidity can be appropriately increased or the conditioning time can be extended; when the temperature is too high and may cause medicinal materials to be scorched, the heating power can be reduced or the turning interval time can be extended;

[0085] S7: Early warning and recording, set up a warning trigger mechanism when there is a quality problem or safety hazard, and timely remind, then record and report the data of traditional Chinese medicine processing;

[0086] When the monitored data characteristics indicate that the processing process may have serious quality problems or safety hazards (such as excessive pressure may cause explosion, excessive temperature may cause fire, etc.), the system immediately triggers the early warning mechanism, which can be an audible and visual alarm, issuing an alarm sound and flashing light in the processing workshop to remind the on-site operator; it can also notify the management personnel through short message, APP push and other ways;

[0087] By recording all the data in the whole processing process in detail, including the original data collected by the sensor, the preprocessed data, the feature extraction results, the quality evaluation report, etc., these records can be used to generate a processing process report, which is convenient for subsequent quality traceability and process optimization, for example, if a batch of medicinal materials is not qualified after processing, by checking the records, it can be accurately found out which link is the problem, such as improper temperature control or too long time, etc.

[0088] Although embodiments of the present application have been shown and described, it is to be understood that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present application, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A smart sensor-based traditional Chinese medicine processing process monitoring system, characterized in that: Comprise; ​ Sensor module for monitoring data; Data acquisition and transmission module for collecting and transmitting data monitored by various sensors; Central control unit and data processing module for processing data, the data processing module mainly preprocesses, extracts features, analyzes data and models the collected data, then removes outliers and noise through data cleaning, and then extracts feature parameters related to processing quality, such as temperature curve slope and humidity change rate; Monitoring and early warning module for monitoring the processing state of traditional Chinese medicine and giving early warning, the monitoring and early warning module comprises a monitoring interface for processing of traditional Chinese medicine and an early warning mechanism for processing of traditional Chinese medicine, the monitoring interface comprises a graphical interface for displaying various data and state information during processing, 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; The early warning mechanism automatically sends early warning signals such as sound and light alarm, short message notification and email when the monitored data exceeds the normal range or shows an abnormal trend, reminding the management personnel to take timely measures for adjustment and processing to prevent quality accidents; Traceability management module for building a quality traceability system and managing data; The sensor module comprises: Temperature sensor for real-time monitoring of temperature changes during processing; Humidity sensor for monitoring changes in environmental humidity and the humidity of medicinal materials; Pressure sensor for monitoring pressure values in a pressurized environment; Photoelectric sensor for real-time detection of the color, size and shape of medicinal materials; Chemical component sensor for real-time monitoring of changes in chemical components in medicinal materials; Gas sensor for detecting volatile gases generated during processing and quantitatively analyzing the odor of traditional Chinese medicine; The early warning measures in the monitoring and early warning module include threshold early warning, trend early warning and intelligent early warning.

2. The intelligent sensor-based traditional Chinese medicine processing procedure monitoring system according to claim 1, characterized in that: The data acquisition and transmission module comprises 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 it into digital signals for subsequent processing and analysis, and the communication network module mainly uses wired or wireless communication to transmit the collected data to the central control unit or the cloud platform. 3.The intelligent sensor-based Chinese medicine processing procedure monitoring system according to claim 1, characterized in that: The central control unit is usually an industrial computer or a server with powerful computing and data storage capabilities, capable of processing data from multiple sensors simultaneously and running complex data analysis algorithms.

4. The intelligent sensor-based traditional Chinese medicine processing procedure monitoring system according to claim 1, characterized in that: The traceability management module includes building a traceability system and managing data storage and management, the traceability system records and manages key data and information during production to establish detailed production records and quality traceability systems for each batch of traditional Chinese medicine products. 5.The intelligent sensor-based Chinese medicine processing procedure monitoring system according to claim 1, characterized in that: Data storage and management stores all collected data for a long time, establishes a perfect database management system, facilitates data query, retrieval and analysis, and at the same time classifies, archives and backs up data to ensure data security and integrity.

6. A method for monitoring the processing of traditional Chinese medicine based on intelligent sensors applied to the monitoring system according to any one of claims 1 to 5, characterized in that: The steps comprise: S1: Sensor installation and calibration, determine the installation position of the sensor and complete the calibration operation of the sensor; S2: Data acquisition initialization, determine parameters according to traditional Chinese medicine processing technology, at the same time start system check sensor and data acquisition equipment operation is normal; S3: Real-time data acquisition, continuous acquisition and monitoring of various data in the process of traditional Chinese medicine processing and temporary storage of collected data; S4: Data preprocessing, processing of abnormal values of sensor data, at the same time data cleaning and format conversion; S5: Feature extraction and analysis, extract key features of data, at the same time correlation analysis of extracted features and quality standards of traditional Chinese medicine processing; S6: Processing process evaluation and decision, according to the results of feature analysis, evaluate the quality of the current traditional Chinese medicine processing process, at the same time make appropriate decisions according to the evaluation results; S7: Early warning and record, by setting early warning trigger mechanism, when quality problems or safety hazards occur, timely reminder, then record and report the data of traditional Chinese medicine processing.

7. The method for monitoring the processing of traditional Chinese medicine based on intelligent sensors according to claim 6, characterized in that: In S6, make decisions, if the processing process is normal, continue according to the current process parameters; If there is a quality problem, adjust the processing parameters.

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