Chinese medicinal materials play an important role in the health care of our people, and the quality of Chinese medicine has received more and more attention. The quality of Chinese medicinal materials and the authenticity of drugs are related to the therapeutic effect, so the identification of authenticity of Chinese medicinal materials is very important. China is very rich in traditional Chinese medicine resources, and many kinds of traditional Chinese medicines have brought great difficulties to the identification of traditional Chinese medicinal materials. The characteristics of traditional Chinese medicines are not only the appearance characteristics of medicinal materials, but also the external manifestations of the internal organizational structure of medicinal materials and the chemical components contained in them. In research, the essence of the trait identification of traditional Chinese medicine is to explain the correlation between trait characteristics and internal tissue structure and its intrinsic chemical composition in modern science. At present, some new methods and technologies are applied to the identification of traditional Chinese medicine traits, such as simulating the electronic nose and electronic tongue generated by the human olfactory organ and taste system, and image recognition and identification are also used. These new methods and technologies are all extensions of trait identification and are conducive to the development of Chinese medicine.
KEYWORDS: Medicine, Near infrared spectroscopy, Intelligence systems, Statistical analysis, Control systems, Chemical analysis, Near infrared, Modeling, Data modeling, Clouds
Herbal medicine is an integral part of Chinese medicine, and Chinese medicine extract is the main way of herbal medicine application. Therefore, the extraction operation of Chinese medicine is an important unit operation in the production process of Chinese medicine. With the modernization of Chinese medicine, traditional Chinese medicine extraction equipment can not fully meet the needs of the development of Chinese medicine. Energy saving and emission reduction technology, integrated manufacturing technology, on-line monitoring technology and intelligent digitization are the main research directions of intelligent production of Chinese medicine. This paper studies the on-line quality monitoring and intelligent control system of Chinese medicine extraction process. Near infrared spectroscopy has the unique advantage of rapid analysis, which makes it play an important role in the development of rapid analysis and detection methods for Chinese medicine production process. Near infrared spectroscopy analysis platform includes field level, edge level and cloud computing level. Its core content is the design of near infrared analysis method for online monitoring. The main parts are extraction equipment, online sample pretreatment subsystem, online near-infrared spectrometer subsystem, online near-infrared spectrum quality analysis and intelligent control system main control subsystem, extraction workshop automatic control subsystem. On-line detection technology detects the key quality of raw materials, intermediate products and process in real time through process analysis instruments directly installed on the production line. This technology can feedback in real time to design, analyze and control the production process, which can better guide the production, reduce the batch difference of intermediates, ensure the stability of drug quality, and provide real-time production data for subsequent product quality backtracking.
In order to realize the intelligent extraction of Chinese medicine production enterprises, the old equipment can be transformed. The method of transformation is to use camera technology to obtain data. In view of the situation that the collected images are not clear enough, this paper establishes a step-by-step correction method for photographic images. In the field of visual inspection, cameras are used to collect images, and the images taken are photographic images. The photographic images may be distorted so that the parallel lines on the object become non-parallel lines in the captured image. In order to restore the true shape of the object, the image needs to be corrected. Image processing system includes image capture module, image recognition module and image correction module. Image correction first performs parallel line intersection calculation and then performs image step-by-step correction. Image step-by-step correction includes affine correction, similarity correction and metric correction. This paper summarizes the computer running logic of each correction module through experiments. The corrected camera image enters the monitoring system of traditional Chinese medicine extraction, which makes the detection of traditional Chinese medicine extraction more timely, comprehensive and effective. The successful application of step-by-step correction software for photographic images has broken through the technical bottleneck of traditional Chinese medicine extraction equipment, realized real-time and effective monitoring of key indicators in the production process of traditional Chinese medicine extraction, and formed an advanced and effective quality control system for the production process of traditional Chinese medicine extraction. Stepwise image correction technology can also be applied to process monitoring in other industries to achieve intelligent production management.
With the rapid development of computer technology and artificial intelligence, intelligent water taps bring a lot of convenience to people’s lives, but the intelligent water taps in the current market cannot meet the needs of food safety in catering institutions. The sink and tap system designed in this paper has infrared control function. The video image frames are extracted from the real-time video data collected by the video monitoring equipment, and the obtained image data are processed and analyzed. Machine vision technology can accurately identify objects and make accurate judgments. When objects are close to the faucet, they will be automatically identified. According to the classification of cleaning items and food, flow instructions will be issued. If the cleaning items are put in the wrong sink, the faucet will not flow, and the alarm will be started. At the same time, the temperature of the sink increases to open the disinfection and sterilization mode, which is simple and convenient to use. The artificial intelligence sink of catering institutions can effectively prevent the mixing of non-edible cleaning items with food, avoid the confusing use of vegetable cleaning sinks and meat cleaning sinks, effectively prevent the spread of various contact infectious diseases, and ensure food safety.
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