Quality inspection system for production process of amomum tsao-ko mixture for guiding qi downward and dredging collaterals

Abstract

The invention discloses a quality inspection system for a production process of an amomum tsao-ko mixture for guiding qi downward and dredging collaterals, and aims to realize comprehensive monitoring and control of the production process through multiple modules and improve the product quality and the production efficiency. The image data acquisition module is used for acquiring raw material and production process images and spectral analysis images. The timing module records and judges the production process time. The multi-source data acquisition module collects production environment data and raw material weight. The raw material proportion control module monitors a raw material proportion. And the data processing module is used for analyzing and processing images and environment data in the production process. And the user interaction module provides an interface for real-time quality detection results and user modification commands. Through comprehensive data acquisition and processing, intelligent proportion control, accurate time management and efficient environmental condition evaluation, the production quality and safety of the amomum tsao-ko mixture for guiding qi downward and dredging collaterals are remarkably improved, human errors are reduced, and the production efficiency is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of production detection, and relates to a production process quality inspection system for a tsaoko shunqi tongluo mixture. Background Art

[0002] In today's pharmaceutical production field, ensuring product quality and improving production efficiency are crucial goals. With the continuous advancement of science and technology, intelligent production monitoring systems have emerged, providing strong support for the precise control and quality assurance of the pharmaceutical production process. The intelligent Tsaoko Shunqi Tongluo mixture production monitoring system involved in the present invention realizes all-round monitoring and control of the production process through a variety of advanced technologies and modular designs, thereby effectively improving product quality and production efficiency, and has broad application prospects and important practical significance.

[0003] In the traditional production process of Amomum villosum Shunqi Tongluo Mixture, the raw material ratio and quality control often rely on manual operation, which is prone to human errors and thus affects the quality and stability of the final product.

[0004] Many production processes lack effective data monitoring systems, which results in the inability to record and analyze key parameters (such as raw material ratio, ambient temperature, etc.) in real time, making it difficult to detect problems in the production process. Existing production quality inspection methods are mostly manual, with a low degree of automation, resulting in low production efficiency and an inability to quickly respond to changes in production.

[0005] The ingredients of Amomum villosum Shunqi Tongluo Mixture are complex, and traditional detection methods are often unable to quickly and accurately identify the content and missing ingredients, which increases the uncertainty in the production process. The feedback on quality test results during the production process is often delayed, affecting the timeliness of production adjustments and failing to effectively meet market demand. Summary of the invention

[0006] In order to solve the problems existing in the background technology, the present invention proposes a production process quality inspection system of Amomum villosum Shunqi Tongluo mixture.

[0007] In order to achieve the above object, the technical solution adopted by the present invention is as follows:

[0008] A production process quality inspection system for Amomum villosum Shunqi Tongluo mixture, comprising:

[0009] An image data acquisition module, which acquires raw material images and production process images, as well as raw material analysis images and production result analysis images analyzed by a spectrometer;

[0010] Timing module, records the corresponding time of the production process and judges the production process time;

[0011] Multi-source data acquisition module, which acquires production environment data and the weight of production raw materials;

[0012] A raw material ratio control module receives the weights of multiple production raw materials from the multi-source data acquisition module and monitors the ratio of the production raw materials of the tsaoko shunqi tongluo mixture;

[0013] The data processing module is used to calculate and process the raw material analysis images and production result analysis images in the production process of the Amomum villosum Shunqi Tongluo Mixture, and to evaluate the production environment;

[0014] The user interaction module sends the quality inspection results of the Tsaoko Shunqi Tongluo Mixture during the production process to the user and receives the user's modification commands.

[0015] Furthermore, the raw material ratio control module receives the weights of multiple production raw materials from the multi-source data acquisition module, and the specific method for monitoring the ratio of the raw materials for the production of the tsaoko shunqi tongluo mixture is:

[0016] Extract features of each raw material based on the raw material image acquired by the image data acquisition module, compare the extracted features with the basic features of each raw material, and identify the raw material corresponding to the current features;

[0017] Obtain the weight of the current raw material based on the current location of the raw material by relying on the multi-source data acquisition module;

[0018] Determine whether the weight ratio of all the raw materials, namely, fried tsaoko: astragalus: cassia twig: chuanketong: ghost flute: scutellaria baicalensis: spider incense, is: 1.665:3.33:1.665:1:2.5:4.995:1;

[0019] If the weight ratio of the raw materials is correct, no prompt is issued. If the weight ratio of the raw materials is wrong, an error prompt is sent to the user through the user interaction module.

[0020] Furthermore, the specific method for calculating and processing the raw material analysis image and the production result analysis image in the production process of the Amomum villosum Shunqi Tongluo mixture is:

[0021] The raw material analysis image and the production result analysis image analyzed by the spectrometer are acquired through the image data acquisition module, and the missing raw materials of the tsaoko shunqi tongluo mixture are analyzed based on the raw material analysis image and the production result analysis image analyzed by the spectrometer;

[0022] S1. Calculate the height of each peak in the production result analysis image. For each peak, the peak height is the signal intensity at its highest point, which is obtained by finding the maximum value:

[0023] h i =max(y(x i ))

[0024] where y(x i) is the production result analysis image in x i Signal strength at

[0025] The peak area is calculated based on the peak height of each peak in the production result analysis image. The specific formula is:

[0026]

[0027] where x start and x end are the starting and ending points of the peak, y i To produce the result analysis image in x i Signal strength at

[0028] The chromatogram of the standard tsaoko shunqi tongluo mixture and the currently acquired production result analysis image are shown in x i The signal intensity at the point was used to obtain the content of different components.

[0029] Furthermore, the timing module records the time corresponding to the production process, and determines the production process time including:

[0030] Determine whether the production time of each production process of the Tsaoko Shunqi Tongluo Mixture is the same as the Tsaoko Shunqi Tongluo Mixture production time preset by the user;

[0031] The preset time of the first production process of the Amomum villosum Shunqi Tongluo mixture is 30 minutes, and the preset time of the second production process is 15 minutes;

[0032] If the production time of each production process of the Tsaoko Shunqi Tongluo Mixture meets the user's preset time, no processing will be done. If the production time of each production process of the Tsaoko Shunqi Tongluo Mixture does not meet the user's preset time, a prompt of non-compliance with the production process quality inspection during the production of the Tsaoko Shunqi Tongluo Mixture will be sent to the user through the user interaction module.

[0033] Furthermore, the specific method by which the data processing module evaluates the production environment is:

[0034] Acquire a production environment data set X including production environment temperature and production environment humidity through a multi-source data acquisition module, and perform threshold judgment on all production environment data in the production environment data set X;

[0035] Set the maximum production environment data collection threshold X max and the minimum production environment data collection threshold X min , determine whether any item of production environment data in the production environment data set is within the highest production environment data set threshold X max and the minimum production environment data collection threshold X min The specific formula is:

[0036] X i.min <X i <X i.max

[0037] Determine any item of production environment data X in the production environment data set i Whether the conditions within the data threshold of the production environment are met. If the production environment of the Amomum villosum Shunqi Tongluo Mixture meets the user's preset production environment, no processing will be performed. If any production environment of the Amomum villosum Shunqi Tongluo Mixture does not meet the user's preset production environment, a prompt will be sent to the user through the user interaction module that the production environment of the Amomum villosum Shunqi Tongluo Mixture does not meet the expected requirements.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] Comprehensive data acquisition and processing: This system can not only capture the visual information of raw materials and production process through the image data acquisition module, but also further confirm the quality status of raw materials and finished products with the help of spectrometer analysis. At the same time, the multi-source data acquisition module is used to monitor environmental parameters (such as temperature, humidity) and raw material weight, making the monitoring of the entire production process more comprehensive and accurate.

[0040] Intelligent ratio control: By comparing and analyzing the actual weight of each raw material with its ideal ratio, the system can automatically identify and adjust improper raw material ratio configuration to ensure the consistency and stability of product ingredients. This helps avoid product quality problems caused by ingredient errors.

[0041] Accurate time management: The existence of the timing module enables each key production process stage to be accurately tracked and recorded. When the actual operation time deviates from the preset value, the system will immediately notify the relevant personnel to take measures, thereby ensuring the effectiveness and efficiency of the production cycle.

[0042] Efficient environmental condition assessment: By implementing real-time monitoring of various environmental factors (such as temperature and humidity) in the production workshop and comparing them with the predetermined safety range, the risk of drug contamination or deterioration caused by changes in external conditions can be effectively prevented.

[0043] Instant feedback mechanism: The user interface allows operators to view the quality status report of the current production batch at any time and respond quickly to any abnormal situation. In addition, it also supports receiving adjustment instructions from users, enhancing the flexibility and adaptability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a schematic diagram of the system structure of the present invention;

[0045] Figure 2The present invention is a production flow chart of the Amomum villosum Shunqi Tongluo mixture. DETAILED DESCRIPTION

[0046] 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.

[0047] The technical solution adopted by the present invention is as follows:

[0048] like Figure 1 As shown, a production process quality inspection system of Amomum villosum Shunqi Tongluo mixture includes:

[0049] The image data acquisition module acquires raw material images and production process images, as well as raw material analysis images and production result analysis images analyzed by the spectrometer.

[0050] The timing module records the corresponding time of the production process and judges the production process time.

[0051] The multi-source data acquisition module obtains production environment data and the weight of production raw materials.

[0052] The raw material ratio control module receives the weights of multiple production raw materials from the multi-source data acquisition module and monitors the ratio of the production raw materials of the Tsaoko Shunqi Tongluo mixture.

[0053] The data processing module performs computational processing on the raw material analysis images and production result analysis images in the production process of the Amomum villosum Shunqi Tongluo Mixture, and evaluates the production environment.

[0054] The user interaction module sends the quality inspection results of the Tsaoko Shunqi Tongluo Mixture during the production process to the user and receives the user's modification commands.

[0055] like Figure 2 As shown in the figure, the production process of Tsaoko Shunqi Tongluo Mixture is as follows:

[0056] Prepare the raw materials of fried grass fruit 33.3g, astragalus 66.6g, cassia twig 33.3g, chuanmutong 20g, ghost flute 50g, 99.9g dahliae and 20g spider fragrance. The weight ratio of the raw materials fried grass fruit: astragalus: cassia twig: chuanmutong: ghost flute: dahliae: spider fragrance is: 1.665:3.33:1.665:1:2.5:4.995:1.

[0057] The seven medicinal materials are placed in a casserole together, and five times the total weight of the seven medicinal materials are added to soak them in drinking water for 30 minutes. After the soaking is completed, boil over high heat first and then turn to low heat to decoct for 30 minutes, filter out the residue and filtrate while hot with a 200-mesh filter cloth, and the filtrate is quickly cooled to room temperature. Add drinking water four times the weight of the residue again, decoct the residue twice, boil over high heat and then turn to low heat to decoct for 15 minutes, filter out the filtrate while hot with a 200-mesh filter cloth, and cool the filtrate to room temperature. Combine the two filtrates, set the volume to 1000 ml, add 0.25 g of ethyl paraben, mix well, and obtain the Caoguo Shunqi Tongluo mixture.

[0058] The raw material ratio control module is responsible for monitoring the raw material ratio of the Tsaoko Shunqi Tongluo Mixture. It receives the weight data of multiple raw materials provided by the multi-source data acquisition module to carry out its work.

[0059] The specific monitoring method is as follows: First, with the help of the raw material images obtained by the image data acquisition module, detailed feature extraction is performed for each raw material. Then, the extracted features are comprehensively compared with the pre-set basic features of each raw material to accurately identify the raw material corresponding to the current feature. Then, based on the location of the current raw material, the multi-source data acquisition module is used again to accurately obtain the weight of the current raw material. After that, the key step is to determine whether the weight ratio of all raw materials, including fried grass fruit, astragalus, cassia twig, Sichuan atractylodes, ghost flute, chicken shit vine, and spider incense, meets the established standard: 1.665:3.33:1.665:1:2.5:4.995:1.

[0060] If the raw material weight ratio is correct, the system will not issue any prompts; on the contrary, if the raw material weight ratio is wrong, the raw material ratio control module will promptly send an error prompt to the user through the user interaction module so that the user can quickly know and take corresponding adjustment measures to ensure the accuracy of the production raw material ratio, thereby ensuring the production quality of the Amomum villosum Shunqi Tongluo Mixture.

[0061] After completing the related operations such as raw material feature extraction and quality acquisition, calculations are performed on the raw material analysis images and production result analysis images, and quantitative analysis is performed on the raw material analysis images and production result analysis images. For example, by calculating the mean, variance and other statistical quantities of color features, as well as parameters such as the grayscale co-occurrence matrix of texture features, the characteristics of the raw materials are fully described. It is determined whether the medicinal properties of the product meet expectations, whether the proportions of each part are reasonable, etc. These calculation and processing processes not only help to gain a deeper understanding of the raw materials, but also provide a key basis for evaluating the quality of production results, thereby cooperating with the work of the raw material proportion control module to jointly ensure the smooth production of the Caoguo Shunqitongluo Mixture and the stability of product quality.

[0062] The raw material analysis images and production result analysis images analyzed by the spectrometer are acquired through the image data acquisition module. Based on the raw material analysis images and production result analysis images analyzed by the spectrometer, the missing raw materials of the Tsaoko Shunqi Tongluo Mixture are analyzed.

[0063] S1. Calculate the height of each peak in the production result analysis image. For each peak, the peak height is the signal intensity at its highest point, which is obtained by finding the maximum value:

[0064] h i =max(y(x i ))

[0065] where y(x i ) is the production result analysis image in x i The signal strength at the

[0066] The peak area is calculated based on the peak height of each peak in the production result analysis image. The specific formula is:

[0067]

[0068] where x start and x end are the starting and ending points of the peak, y i To produce the result analysis image in x i The signal strength at the

[0069] The chromatogram of the standard tsaoko shunqi tongluo mixture and the currently acquired production result analysis image are shown in x i The signal intensity at the point was used to obtain the content of different components.

[0070] The timing module plays a key role in the production process of Tsaoko Shunqi Tongluo Mixture. It is responsible for recording the time corresponding to the production process and making rigorous judgments on the production process time.

[0071] Specifically, the timing module will carefully monitor the production time of each production process of the Tsaoko Shunqi Tongluo Mixture to determine whether it is consistent with the production time of the Tsaoko Shunqi Tongluo Mixture preset by the user. For example, the preset time for the first production process of the Tsaoko Shunqi Tongluo Mixture is 30 minutes, and the preset time for the second production process is 15 minutes. In the actual production process, if the production time of each production process of the Tsaoko Shunqi Tongluo Mixture accurately meets the user's preset time, the timing module will not perform additional processing.

[0072] However, once it is found that the production time of a certain production process of the Tsaoko Shunqi Tongluo Mixture does not meet the user's preset time, the timing module will immediately send the user a reminder of the non-compliance of the production process quality inspection during the production of the Tsaoko Shunqi Tongluo Mixture through the user interaction module. This can promptly remind the user of the possible time deviation problems in the production process so that the user can take corresponding measures to make adjustments, ensure the accuracy and stability of the production process, and thus ensure the production quality and efficiency of the Tsaoko Shunqi Tongluo Mixture.

[0073] The data processing module evaluates the production environment to ensure that the production environment is normal and will not cause adverse effects on the production of Tsaoko Shunqi Tongluo Mixture. The specific methods for evaluating production quality are:

[0074] The multi-source data acquisition module is used to obtain the production environment data set X, which includes data such as production environment temperature and production environment humidity. Subsequently, a threshold judgment is performed on all production environment data in set X. This process is designed to ensure that the production environment data is within a reasonable range to ensure smooth production and stable product quality.

[0075] Set the maximum production environment data collection threshold X max and the minimum production environment data collection threshold X min , determine whether any item of production environment data in the production environment data set is within the highest production environment data set threshold X max and the minimum production environment data collection threshold X min The specific formula is:

[0076] X i.min <X i <X i.max

[0077] Determine whether each production environment data in the production environment data set meets its corresponding threshold conditions. Specifically, it is to check whether the production environment of the Tsaoko Shunqi Tongluo Mixture meets the user's preset standards. If the entire production environment fully meets the user's preset production environment requirements, the system does not perform any additional processing. However, as long as any production environment data of the Tsaoko Shunqi Tongluo Mixture does not meet the user's preset environmental conditions, the system will send a prompt to the user through the user interaction module, clearly informing the user that the production environment does not meet the expected requirements, so that the user can take timely measures to adjust and optimize.

[0078] The present invention has comprehensive data acquisition and processing, intelligent proportion control, precise time management, efficient environmental condition assessment and instant feedback mechanism. The comprehensive use of the above technical means greatly improves the quality management level of the whole process of Tsaoko Shunqi Tongluo mixture from raw material preparation to final packaging, thereby ensuring the safety, reliability and consistency of efficacy of the product.

[0079] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A production process quality inspection system for Tsaoko Shunqi Tongluo Mixture, characterized in that: Included are: An image data acquisition module, which acquires raw material images and production process images, as well as raw material analysis images and production result analysis images analyzed by a spectrometer; Timing module, records the corresponding time of the production process and judges the production process time; Multi-source data acquisition module, which acquires production environment data and the weight of production raw materials; A raw material ratio control module receives the weights of multiple production raw materials from the multi-source data acquisition module and monitors the ratio of the production raw materials of the tsaoko shunqi tongluo mixture; The data processing module is used to calculate and process the raw material analysis images and production result analysis images in the production process of the Amomum villosum Shunqi Tongluo Mixture, and to evaluate the production environment; The user interaction module sends the quality inspection results of the Tsaoko Shunqi Tongluo Mixture during the production process to the user and receives the user's modification commands.

2. The production process quality inspection system of the Amomum villosum Shunqi Tongluo mixture according to claim 1 is characterized in that: The raw material ratio control module receives the weights of multiple production raw materials from the multi-source data acquisition module, and the specific method for monitoring the ratio of the raw materials for the tsaoko shunqi tongluo mixture is as follows: Extract features of each raw material based on the raw material image acquired by the image data acquisition module, compare the extracted features with the basic features of each raw material, and identify the raw material corresponding to the current features; Obtain the weight of the current raw material based on the current location of the raw material by relying on the multi-source data acquisition module; Determine whether the weight ratio of all the raw materials, namely, fried grass fruit: astragalus: cassia twig: chuanketong: ghost flute: scutellaria baicalensis: spider incense, is: 1.665:3.33:1.665:1:2.5:4.995:1； If the weight ratio of the raw materials is correct, no prompt is issued. If the weight ratio of the raw materials is wrong, an error prompt is sent to the user through the user interaction module.

3. The production process quality inspection system of the Amomum villosum Shunqi Tongluo mixture according to claim 1 is characterized in that: The specific method for calculating and processing the raw material analysis image and the production result analysis image in the production process of the Amomum villosum Shunqi Tongluo mixture is: The raw material analysis image and the production result analysis image analyzed by the spectrometer are acquired through the image data acquisition module, and the missing raw materials of the tsaoko shunqi tongluo mixture are analyzed based on the raw material analysis image and the production result analysis image analyzed by the spectrometer; S1. Calculate the height of each peak in the production result analysis image. For each peak, the peak height is the signal intensity at its highest point, which is obtained by finding the maximum value: h i =max(y(x i )) where y(x i ) is the production result analysis image in x i Signal strength at The peak area is calculated based on the peak height of each peak in the production result analysis image. The specific formula is: where x start and x end are the starting and ending points of the peak, y i To produce the result analysis image in x i Signal strength at The chromatogram of the standard tsaoko shunqi tongluo mixture and the currently acquired production result analysis image are shown in x i The signal intensity at the point was used to obtain the content of different components.

4. The production process quality inspection system of the Amomum villosum Shunqi Tongluo mixture according to claim 1 is characterized in that: The timing module records the time corresponding to the production process and determines the production process time including: Determine whether the production time of each production process of the Tsaoko Shunqi Tongluo Mixture is the same as the Tsaoko Shunqi Tongluo Mixture production time preset by the user; The preset time of the first production process of the Amomum villosum Shunqi Tongluo mixture is 30 minutes, and the preset time of the second production process is 15 minutes; If the production time of each production process of the Tsaoko Shunqi Tongluo Mixture meets the user's preset time, no processing will be done. If the production time of each production process of the Tsaoko Shunqi Tongluo Mixture does not meet the user's preset time, a prompt of non-compliance with the production process quality inspection during the production of the Tsaoko Shunqi Tongluo Mixture will be sent to the user through the user interaction module.

5. The production process quality inspection system of the Amomum villosum Shunqi Tongluo mixture according to claim 1 is characterized in that: The specific method for the data processing module to evaluate the production environment is: Acquire a production environment data set X including production environment temperature and production environment humidity through a multi-source data acquisition module, and perform threshold judgment on all production environment data in the production environment data set X; Set the maximum production environment data collection threshold X max and the minimum production environment data collection threshold X min , determine whether any item of production environment data in the production environment data set is within the highest production environment data set threshold X max and the minimum production environment data collection threshold X min The specific formula is: X i.min <X i <X i.max Determine any item of production environment data X in the production environment data set i Whether the conditions within the data threshold of the production environment are met. If the production environment of the Amomum villosum Shunqi Tongluo Mixture meets the user's preset production environment, no processing will be performed. If any production environment of the Amomum villosum Shunqi Tongluo Mixture does not meet the user's preset production environment, a prompt will be sent to the user through the user interaction module that the production environment of the Amomum villosum Shunqi Tongluo Mixture does not meet the expected requirements.

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