CN112926830A - Real-time-monitorable artificial intelligent quality monitoring system for traditional Chinese medicine decoction storage and control method - Google Patents
Real-time-monitorable artificial intelligent quality monitoring system for traditional Chinese medicine decoction storage and control method Download PDFInfo
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Abstract
The invention relates to the field of clinical application, in particular to a traditional Chinese medicine decoction storage artificial intelligence quality monitoring system capable of monitoring in real time, which comprises: s1, on the basis of an ROS operating system, taking a raspberry as a control node, decoupling node data communication through a network protocol by using the most popular service oriented (SDA) software technology at present, and integrating different languages and different function codes; s2, determining an overall design scheme according to the principle and structure of the ROS, designing a system structure, S3, constructing hardware elements and software of a monitoring system, S4, constructing spectral analysis elements of the monitoring system, S5, simulating verification and data testing.
Description
Technical Field
The invention relates to the technical field of clinical application, in particular to a traditional Chinese medicine decoction storage artificial intelligence quality monitoring system capable of monitoring in real time and a control method.
Background
The Chinese medicine decoction is liquid medicine prepared with single medicine or other Chinese medicinal materials, and through adding water, decocting in a decoction pot for some time, eliminating dregs, taking concentrated decoction and other steps. The record that "the decoction starts from Yi" in the chapter of acupuncture and moxibustion in the first and second meridians and preface indicates that the decoction has been prepared in the trade.
The Chinese medicinal decoction is one of the formulations commonly used in the clinical practice of traditional Chinese medicine, has flexible formula, can meet the requirements of medicine application in treatment based on syndrome differentiation and addition and subtraction according to symptoms, and is used up to now. However, the decoction should not be stored for a long time and should be taken along with decoction, which brings inconvenience to the application. In order to overcome the defect, a plurality of medical institutions develop the services of decocting the medicines by the automatic medicine decocting machine and automatically filling the medicines into soft packages, thereby being greatly convenient for patients to take, carry and store. However, compared with western medicines with strict quality standards and shelf lives, the storage conditions, shelf lives and other problems of the decocted traditional Chinese medicines are not unified and definite research conclusions. Microorganism limit determination is carried out on 5 types of traditional Chinese medicine decoction substitutes such as blood-enriching soup, pearl soup and the like in Liang Zheng, Chen Hui hong, Tang Yong\22548and the like, and the microorganism limit determination of the 5 types of traditional Chinese medicine decoction accords with the requirements when the decoction is stored for 8 weeks under 3 different storage conditions; the microbial limit determination of the ligusticum wallichii tea blending powder decoction is also carried out by Zenghuifen and the like, and the microbial limit determination in the 21-day decoction meets the pharmacopoeia requirements at 2 storage temperatures; wushaokang, Wanxiaoqing, Maogen and the like research the stability of the 3 traditional Chinese medicine decoction preparations, and the chemical indexes of the 3 traditional Chinese medicine decoction preparations are considered to fluctuate from the 4 th week of storage. The research means and method of the storage quality of the traditional Chinese medicine decoction are limited by consulting domestic and foreign documents, and most of the research means and method still stay in the physicochemical research stages of component index determination and the like. The storage quality of the traditional Chinese medicine decoction is directly related to the safety and the effectiveness of the medicine taking of the patient. Therefore, finding out scientific, rapid and accurate quality control detection means and technology of the decoction of the traditional Chinese medicine for decoction has important clinical significance;
disclosure of Invention
The invention aims to provide a traditional Chinese medicine decoction storage artificial intelligence quality monitoring system capable of monitoring in real time and a control method thereof, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a traditional Chinese medicine decoction storage artificial intelligence quality monitoring system capable of real-time monitoring comprises:
s1, on the basis of an ROS operating system, taking a raspberry as a control node, decoupling node data communication through a network protocol by using the most popular service oriented (SDA) software technology at present, and integrating different languages and different function codes;
s2, determining an overall design scheme and system structure design according to the principle and structure of the ROS, wherein the system structure design comprises ROS main control, raspberry group terminal design and model selection of dynamic spectrum analysis;
s3, building hardware elements and software of a monitoring system, wherein the hardware elements of the system comprise a main control ROS model selection, a wireless network system building, a raspberry group terminal circuit, a dynamic spectrum control circuit, a serial communication interface circuit, a display control circuit design and a data acquisition circuit, and the system software mainly comprises a ROS system main program, a wireless signal networking building program, a dynamic spectrum data acquisition program, a display control program, a raspberry group terminal control algorithm program and the like;
s4, constructing a spectral analysis element of a monitoring system, combining a strong software and hardware, a flexible, high-reliability wireless network communication function and an ROS system, transmitting real-time data to a network database for artificial intelligent processing, and detecting the Chinese medicinal decoction quality by the spectral analysis system;
s5, simulation verification and data test: the quality monitoring system for the Chinese medicinal decoction is used for carrying out experimental test on the Chinese medicinal decoction, analyzing the time stability of data through experimental result observation, verifying the superiority of applying the full closed-loop system to the quality monitoring of the Chinese medicinal decoction and carrying out result analysis.
Preferably: the ROS master described in said step S2 uses a microcomputer Raspberry Pi.
Preferably: in the step S4, the spectrum analysis element adopts an automatic bladder flushing system, and the control core of the spectrum analysis system is changed from ARM Cortex-F4 to raspberry pie.
Preferably: in step S4, the module for detecting the quality of the decoction of traditional Chinese medicine in the spectrum analysis system is composed of a light/frequency sensor and a light source.
Preferably, the control method of the traditional Chinese medicine decoction storage artificial intelligence quality monitoring system capable of monitoring in real time comprises the following steps:
1) a full spectrum white LED emits a group of white lights which are irradiated on the cuvette, and the light/frequency sensor obtains RGB (red, green and blue) digital quantity which changes along with the quality of the decoction;
2) the output of the digital quantity is coupled to a central processing unit of the raspberry pi through a GPIO port of the raspberry pi, and the raspberry pi obtains the quality condition of the decoction according to the digital quantity change of the quality of the decoction and transmits the quality condition of the decoction to an ROS main control element through a wireless network;
3) and then the ROS main control element transmits the data to a spectral analysis element of a monitoring system for analysis, so that the quality change of the traditional Chinese medicine decoction is determined, and the quality of the traditional Chinese medicine decoction is controlled.
Preferably: the ROS main control element adopts a digitalized programmable color light/frequency converter, a configurable silicon photodiode array and a current/frequency converter are integrated in the ROS main control element, the output of the ROS main control element is a square wave with a duty ratio of 50%, the output frequency is in a linear relation with the light intensity,
preferably: the converter has a photoresponse range of 250000-1, a typical output frequency range of 2 Hz-500 KHz, 100%, 20% or 2% of output scale factors can be selected through two programmable pins, and input and output pins of the converter can be directly connected with a microprocessor or other logic circuits.
Preferably, the input/output pins of the converter are connected to the output terminals OE to place the output in a high impedance state so that a plurality of devices share a microprocessor input line, and the programmable color/frequency converter integrates red, green and blue filters on a single chip, which contains a cross-connected 8 × 8 photodiode array, wherein each 16 diodes provides a color type, there are four types of red, blue, green and clear all optical information, and all 16 photodiodes of the same color are connected in parallel. When a color filter is selected, it only allows a certain primary color to pass through, and blocks the other primary colors from passing through.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention relates to a Chinese medicine decoction storage artificial intelligence quality monitoring system capable of real-time monitoring, which is characterized in that the modern spectral technology is applied to real-time monitoring of Chinese medicine decoction, the decoction storage quality is digitalized, and the digitalized decoction storage quality parameter is combined with artificial intelligence to establish a decoction storage quality artificial intelligence standard library;
2. according to the invention, the novel support system of artificial intelligence and big data technology is combined with dynamic spectrum analysis, ROS is introduced into the quality control of the traditional Chinese medicine decoction, and the control layer of quality control is designed by the control system of an industrial robot, so that a scientific, accurate, rapid and visual quality guarantee detection technology of the decocted traditional Chinese medicine decoction is formed, and the application of artificial intelligence automation in the future quality control field of the decocted traditional Chinese medicine decoction is promoted to lay theoretical and technical foundation.
Drawings
FIG. 1 is a schematic view of the overall process of an artificial intelligent quality monitoring system and control method for Chinese medicinal decoction storage capable of real-time monitoring according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
Referring to fig. 1, there are shown: a traditional Chinese medicine decoction storage artificial intelligence quality monitoring system capable of real-time monitoring comprises:
s1, on the basis of an ROS operating system, taking a raspberry as a control node, decoupling node data communication through a network protocol by using the most popular service oriented (SDA) software technology at present, and integrating different languages and different function codes; s2, determining an overall design scheme and system structure design according to the principle and structure of the ROS, wherein the system structure design comprises ROS main control, raspberry group terminal design and model selection of dynamic spectrum analysis; s3, building hardware elements and software of a monitoring system, wherein the hardware elements of the system comprise a main control ROS model selection, a wireless network system building, a raspberry group terminal circuit, a dynamic spectrum control circuit, a serial communication interface circuit, a display control circuit design and a data acquisition circuit, and the system software mainly comprises a ROS system main program, a wireless signal networking building program, a dynamic spectrum data acquisition program, a display control program, a raspberry group terminal control algorithm program and the like; s4, constructing a spectral analysis element of a monitoring system, combining a strong software and hardware, a flexible, high-reliability wireless network communication function and an ROS system, transmitting real-time data to a network database for artificial intelligent processing, and detecting the Chinese medicinal decoction quality by the spectral analysis system; s5, simulation verification and data test: the quality monitoring system for the Chinese medicinal decoction is used for carrying out experimental test on the Chinese medicinal decoction, analyzing the time stability of data through experimental result observation, verifying the superiority of applying the full closed-loop system to the quality monitoring of the Chinese medicinal decoction and carrying out result analysis; the ROS master control described in the step S2 adopts a microcomputer Raspberry Pi (Raspberry Pi), the spectrum analysis element in the step S4 adopts an automatic bladder flushing system, the control core of the spectrum analysis system is changed from ARM Cortex-F4 to the Raspberry Pi, and the Chinese medicine decoction quality detection module in the spectrum analysis system in the step S4 consists of a light/frequency sensor and a light source; the spectral analysis data acquisition and processing work of the decoction can be very easily completed by combining strong software and hardware of the raspberry pie, a flexible and highly reliable wireless network communication function and the ROS system, and the real-time data is transmitted to the network database by relying on the strong network functions of the ROS system and the raspberry pie to lay a foundation for artificial intelligent processing. A Chinese medicine decoction quality detection module of the spectral analysis system.
A control method of a traditional Chinese medicine decoction storage artificial intelligence quality monitoring system capable of real-time monitoring comprises the following steps: the decocte quality detection module consists of a light/frequency sensor and a light source, a full-spectrum white LED emits a group of white lights to irradiate on a cuvette, the light/frequency sensor obtains RGB (red, green and blue) digital quantity which changes along with the quality of the decocte, the output of the digital quantity is coupled to a central processing unit of a raspberry group through a GPIO port of the raspberry group, the raspberry group obtains the quality condition of the decocte according to the change of the digital quantity of the decocte quality and transmits the condition to an ROS main control element through a wireless network, the system adopts a digital programmable color light/frequency converter, a configurable silicon photodiode array and a current/frequency converter are integrated in the system, the output is square waves with the duty ratio of 50%, the output frequency and the light intensity are in a linear relation, the converter has the photoresponse range of 250000-1 to light, the typical output frequency range of 2 Hz-500 KHz, the 100%, 20% or 2% output scale factor can be selected by two programmable pins, the input and output pins can be directly connected with a microprocessor or other logic circuit, the output can be put in a high resistance state by an output enable terminal OE to enable a plurality of devices to share a microprocessor input line, the programmable color light/frequency converter integrates red, green and blue filters on a single chip, so that the resolution of more than 10 bits per color channel can be realized without ADC, the chip comprises a cross-connected 8 x 8 photodiode array, wherein each 16 diodes provides a color type, the total types of red, blue and green and all light information is eliminated, the nonuniformity of incident light radiation can be reduced to the maximum extent, all 16 photodiodes of the same color are connected in parallel, when a color filter is selected, the programmable color light/frequency converter only allows a specific primary color to pass through, preventing the passage of other primary colors, for example: when the red filter is selected, only red light in the incident light can pass through, and blue light and green light are blocked, so that the light intensity of red light can be obtained; similarly, the intensity of blue and green light can be obtained by selecting other filters, and the color of light projected onto the sensor can be analyzed by these three values, where the obtained red, green and blue digital values are the rate of change of the quality of the decoction, and this rate of change is the basis for the analysis by our quality control system.
Wherein: the raspberry pi is used as a main control system, the monitoring system can be transplanted to the mobile device without cost, and a plurality of video acquisition devices can be connected to the mobile device to realize panoramic image acquisition. Raspberry group is from taking wireless network card, and the wiring cost is saved in the direct networking of accessible wifi. In addition, the raspberry pi is also provided with an RJ45 standard ethernet interface, and wired network connection can be performed according to needs.
The system software employs the ROS system. The ROS system is essentially an open source robot software platform, and on the system layer, software packages with various functions such as navigation, positioning, drawing, sensing and the like are packaged. Because the system is open source and all software packages are shared, the required functions can be quickly realized by utilizing the existing development kit. By using the ROS system, on one hand, the open source module developed by the ROS is convenient to call, and the research and development cost can be reduced to the maximum extent; on the other hand, the existing monitoring module can be directly transplanted to the minimum moving platform of the robot according to the requirement, so that the mobile monitoring function is realized.
While the invention has been described in further detail with reference to specific embodiments thereof, it will be understood by those skilled in the art that the invention is not limited thereto, and that various changes and modifications can be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. A but real time monitoring's traditional chinese medicine decoction storage artificial intelligence quality monitoring system, its characterized in that includes:
s1, on the basis of an ROS operating system, taking a raspberry as a control node, decoupling node data communication through a network protocol by using the most popular service oriented (SDA) software technology at present, and integrating different languages and different function codes;
s2, determining an overall design scheme and system structure design according to the principle and structure of the ROS, wherein the system structure design comprises ROS main control, raspberry group terminal design and model selection of dynamic spectrum analysis;
s3, building hardware elements and software of a monitoring system, wherein the hardware elements of the system comprise a main control ROS model selection, a wireless network system building, a raspberry group terminal circuit, a dynamic spectrum control circuit, a serial communication interface circuit, a display control circuit design and a data acquisition circuit, and the system software mainly comprises a ROS system main program, a wireless signal networking building program, a dynamic spectrum data acquisition program, a display control program, a raspberry group terminal control algorithm program and the like;
s4, constructing a spectral analysis element of a monitoring system, combining a strong software and hardware, a flexible, high-reliability wireless network communication function and an ROS system, transmitting real-time data to a network database for artificial intelligent processing, and detecting the Chinese medicinal decoction quality by the spectral analysis system;
s5, simulation verification and data test: the quality monitoring system for the Chinese medicinal decoction is used for carrying out experimental test on the Chinese medicinal decoction, analyzing the time stability of data through experimental result observation, verifying the superiority of applying the full closed-loop system to the quality monitoring of the Chinese medicinal decoction and carrying out result analysis.
2. The system for monitoring the quality of Chinese herbal medicine decoction storage artificial intelligence capable of being monitored in real time according to claim 1, wherein: the ROS master described in said step S2 uses a microcomputer Raspberry Pi.
3. The system for monitoring the quality of Chinese herbal medicine decoction storage artificial intelligence capable of being monitored in real time according to claim 1, wherein: in the step S4, the spectrum analysis element adopts an automatic bladder flushing system, and the control core of the spectrum analysis system is changed from ARM Cortex-F4 to raspberry pie.
4. The system for monitoring the quality of Chinese herbal medicine decoction storage artificial intelligence capable of being monitored in real time according to claim 1, wherein: in step S4, the module for detecting the quality of the decoction of traditional Chinese medicine in the spectrum analysis system is composed of a light/frequency sensor and a light source.
5. A control method of a real-time monitorable Chinese medicinal decoction storage artificial intelligence quality monitoring system according to any one of the preceding claims, comprising the steps of:
1) a full spectrum white LED emits a group of white lights which are irradiated on the cuvette, and the light/frequency sensor obtains RGB (red, green and blue) digital quantity which changes along with the quality of the decoction;
2) the output of the digital quantity is coupled to a central processing unit of the raspberry pi through a GPIO port of the raspberry pi, and the raspberry pi obtains the quality condition of the decoction according to the digital quantity change of the quality of the decoction and transmits the quality condition of the decoction to an ROS main control element through a wireless network;
3) and then the ROS main control element transmits the data to a spectral analysis element of a monitoring system for analysis, so that the quality change of the traditional Chinese medicine decoction is determined, and the quality of the traditional Chinese medicine decoction is controlled.
6. The control method of the real-time monitoring traditional Chinese medicine decoction storage artificial intelligence quality monitoring system according to claim 5, characterized in that: the ROS main control element adopts a digitalized programmable color light/frequency converter, a configurable silicon photodiode array and a current/frequency converter are integrated in the ROS main control element, square waves with duty ratio of 50% are output, and the output frequency and the light intensity are in a linear relation.
7. The control method of the real-time monitoring traditional Chinese medicine decoction storage artificial intelligence quality monitoring system according to claim 6, characterized in that: the converter has a photoresponse range of 250000-1, a typical output frequency range of 2 Hz-500 KHz, 100%, 20% or 2% of output scale factors can be selected through two programmable pins, and input and output pins of the converter can be directly connected with a microprocessor or other logic circuits.
8. The control method of the real-time monitoring traditional Chinese medicine decoction storage artificial intelligence quality monitoring system according to claim 7, characterized in that: the input/output pins of the converter place the output in a high impedance state through the output enable terminals OE so that multiple devices share one microprocessor input line, the programmable color light/frequency converter integrates red, green and blue filters on a single chip, the chip contains a cross-connected 8 × 8 photodiode array, wherein each 16 diodes provide one color type, there are four types of red, blue, green and clear all optical information, and all 16 photodiodes of the same color are connected in parallel. When a color filter is selected, it only allows a certain primary color to pass through, and blocks the other primary colors from passing through.
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| CN116000895A (en) * | 2023-03-28 | 2023-04-25 | 浙江大学 | Quality detection robot and method for traditional Chinese medicine pharmacy process based on deep learning |
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|---|---|---|---|---|
| CN116000895A (en) * | 2023-03-28 | 2023-04-25 | 浙江大学 | Quality detection robot and method for traditional Chinese medicine pharmacy process based on deep learning |
| CN116000895B (en) * | 2023-03-28 | 2023-06-23 | 浙江大学 | Quality detection robot and method for traditional Chinese medicine pharmacy process based on deep learning |
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