Robot for identification and quality detection of traditional Chinese medicinal materials
By integrating a robotic arm with multimodal sensors into an integrated detection system, the problems of unstable detection results and unscientific environmental identification of Chinese medicinal materials have been solved. This system enables efficient and accurate quality detection of Chinese medicinal materials and identification of their growth environment, promoting the transformation of Chinese medicinal agriculture towards data-driven intelligentization.
Patent Information
- Application Number
- CN202521048222.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-26
- Publication Date
- 2026-05-01
- Estimated Expiration
- 2035-05-26
AI Technical Summary
Traditional Chinese medicine testing relies on manual experience, resulting in unstable and inefficient test results. The lack of scientific methods for identifying the growth environment of Chinese medicinal materials makes it difficult to meet the needs of large-scale and time-sensitive quality control.
By combining a robotic arm with multimodal sensors such as a near-infrared spectrometer, electronic nose, hyperspectral imager, and weighing sensor, the system enables quality detection of Chinese medicinal materials and identification of their growth environment. An intelligent detection system is established through data modeling.
It improves the efficiency and accuracy of Chinese medicinal herb testing, reduces testing errors, lowers water and fertilizer costs, supports standardized cultivation of medicinal herbs, and meets the traceability requirements of GAP certification.
Smart Images

Figure CN224183119U_ABST
Abstract
Description
A robot for identifying and inspecting the quality of Chinese medicinal herbs Technical Field
[0001] This utility model relates to the field of agricultural information technology, specifically to a robot for identifying and testing the quality of Chinese medicinal materials. Background Technology
[0002] Identifying the growth environment of Chinese medicinal herbs (to aid in their growth) and testing their quality are crucial for ensuring their clinical efficacy and safety. Traditional quality assessment of Chinese medicinal herbs relies primarily on experienced pharmacists who use sensory methods such as visual inspection, touch, and smell. However, manual testing can lead to significant differences in judgment standards among pharmacists, resulting in inconsistent results. Furthermore, manual testing is inefficient and fails to meet the demands of modern Chinese medicine industry for large-scale, high-time quality control.
[0003] Secondly, the identification of the growing environment of Chinese medicinal herbs relies heavily on farmers' experience and judgment, lacking scientific environmental monitoring methods, which leads to unstable quality of medicinal herbs. Summary of the Invention
[0004] In view of this, the purpose of this utility model is to provide a robot for the identification and quality inspection of Chinese medicinal materials. This robot can not only quickly and in batches inspect the quality of Chinese medicinal materials, but also identify and inspect the growth environment of Chinese medicinal materials, so as to solve the technical problems mentioned in the background art.
[0005] This utility model is achieved through the following technical solution:
[0006] A robot for identifying and inspecting the quality of Chinese medicinal materials includes a shell, a robotic arm mounted on the top of the shell, and a detection chamber fixed outside the shell, the detection chamber being located on the movement path of the robotic arm;
[0007] The detection chamber includes an open-top chamber, with a near-infrared spectrometer and an electronic nose installed on the upper middle part of the side wall of the chamber, and a hyperspectral imager installed on the upper part of the side wall of the chamber.
[0008] Furthermore, a weighing sensor is installed on the bottom wall of the cabin, and a base plate is installed on the output end of the weighing sensor.
[0009] Furthermore, a light tube is installed at the top opening of the cabin.
[0010] Furthermore, a camera is fixedly mounted on the housing, and the camera is located on the same side as the detection chamber; an air temperature and humidity sensor is also fixedly mounted on the housing.
[0011] Furthermore, an electric telescopic rod is installed on the side of the housing away from the camera, and a soil pH sensor is installed at the output end of the electric telescopic rod.
[0012] Furthermore, a soil moisture sensor is also installed at the output end of the electric telescopic pole.
[0013] The beneficial effects of this utility model are as follows:
[0014] 1. This utility model employs an integrated detection system combining a robotic arm and multimodal sensors. The introduction of the robotic arm not only significantly improves detection efficiency but also supports continuous batch processing. The near-infrared spectrometer rapidly screens macroscopic components (such as moisture and sugars) from the upper and middle parts of the sidewall, while the electronic nose simultaneously analyzes volatile substances (such as essential oils and sulfur residues), and the hyperspectral imager at the top provides details of the spatial distribution of chemical components (such as the non-uniformity of active ingredients). The data from these three sources complement each other, forming a multi-dimensional quality profile. Compared to traditional manual detection that relies on experienced pharmacists to inspect batch by batch using methods such as "visual inspection, tactile inspection, and olfactory inspection," this system offers higher detection efficiency and lower detection errors for the quality of traditional Chinese medicine materials.
[0015] 2. The robot of this utility model is equipped with multiple sensors (such as the camera and the air temperature and humidity sensor) to realize intelligent identification and detection of the production environment of Chinese medicinal materials. It collects and identifies multi-dimensional data such as plant images, air temperature and humidity, and key soil parameters in real time. In conjunction with the controller, it establishes an "environment-quality" digital model, which not only meets the traceability requirements of GAP certification, but also reduces water and fertilizer costs by 20%-30%. It provides data support for the standardized planting of medicinal materials and promotes the transformation of Chinese medicinal agriculture from experience-based judgment to data-driven intelligent transformation. Attached Figure Description
[0016] Figure 1 is a schematic diagram of the structure of the robot of this utility model used for identification and quality inspection of Chinese medicinal materials.
[0017] Figure 2 is a structural schematic diagram of the robot of this utility model used for identification and quality inspection of Chinese medicinal materials from another direction.
[0018] Figure 3 is a schematic diagram of the detection chamber of the robot used for identification and quality testing of Chinese medicinal materials according to this utility model.
[0019] In the diagram: 1-shell, 2-robotic arm, 3-detection chamber, 31-chamber body, 32-near-infrared spectrometer, 33-electronic nose, 34-hyperspectral imager, 35-weighing sensor, 36-base plate, 37-lamp tube, 4-camera, 5-air temperature and humidity sensor, 6-electric telescopic rod, 7-soil pH sensor, 8-soil moisture sensor. Detailed Implementation
[0020] Typical embodiments embodying the features and advantages of this utility model will be specifically described in the following description. It should be understood that this utility model can have various variations in different embodiments, all of which do not depart from the scope of this utility model, and the descriptions and illustrations therein are for illustrative purposes only and not intended to limit this utility model.
[0021] In the description of this application, the terms "upper" and "lower" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the structure referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.
[0022] Please refer to Figures 1 to 3. This utility model provides a technical solution: a robot for identifying and inspecting the quality of Chinese medicinal materials, including a shell 1. A robotic arm 2 is installed on the top of the shell 1 for grasping the medicinal materials. A moving mechanism, including wheels and a motor, is installed on the bottom of the shell 1 for the robot to move. The specific structure and working principle of the robotic arm 2 and the moving mechanism are relatively mature in the prior art and will not be described in detail here.
[0023] The outer shell 1 is fixed with a detection chamber 3, which is located on the movement path of the robotic arm 2. The detection chamber 3 includes a chamber 31 with an open top. An electronic nose 33 of model ENS160 is installed in the upper middle part of the side wall of the chamber 31 (where the volatile substances of Chinese medicine tend to diffuse upwards and the concentration is relatively high). The electronic nose 33 can quickly and objectively analyze the odor characteristics of Chinese medicine by using biomimetic technology that simulates human olfaction. It can directly detect whole plants, slices or powdered medicinal materials.
[0024] Secondly, it can simultaneously detect multiple volatile organic compounds (VOCs), and correlate them with key quality indicators such as the effective components of traditional Chinese medicine (e.g., essential oils), mold, and sulfur fumigation residues, thus playing an important role in authenticity identification, quality evaluation, and process monitoring.
[0025] Please refer to Figure 3. A near-infrared spectrometer 32 is installed on the upper middle part of the side wall of the chamber 31 (where the concentration of volatile substances from traditional Chinese medicine tends to be higher due to upward diffusion). A hyperspectral imager 34 is installed on the upper part of the side wall of the chamber 31. The hyperspectral imager 34 (HSI) and the near-infrared spectrometer 32 (NIRS) work together, leveraging their respective advantages to improve the comprehensiveness and efficiency of the detection. For the quality analysis of traditional Chinese medicine:
[0026] NIRS: Rapid determination of the average content of active ingredients (such as saponins and polysaccharides) in a whole batch of medicinal materials;
[0027] HSI: Local imaging of abnormal samples (such as those with content fluctuations detected by NIRS) to identify areas of uneven component distribution or adulteration.
[0028] NIRS provides rapid screening, while HSI provides precise localization, improving efficiency and accuracy. The combination of point detection (NIRS) and surface scanning (HSI) comprehensively covers sample characteristics, thereby reducing the limitations of single technologies (such as the slow speed of HSI and the lack of spatial information in NIRS) through data fusion.
[0029] The specific structure and working principle of the near-infrared spectrometer 32 and the hyperspectral imager 34 are existing technologies and will not be elaborated further here. In addition, to meet different scenario requirements, the basic robot integrates the above-mentioned equipment for portable field harvesting; the high-end version can be equipped with Raman spectroscopy and DNA barcoding modules to meet the molecular-level identification needs of drug testing institutes and pharmaceutical company laboratories.
[0030] Please refer to Figures 1 and 3. A lamp tube 37 is installed at the top opening of the chamber 31 to illuminate the interior of the detection chamber 3, providing a good working environment for the hyperspectral imager 34 and the near-infrared spectrometer 32 and reducing shadows.
[0031] The lamp tube 37 is a broadband halogen lamp (400-2500nm) or an NIR-LED array (such as an 850nm+1550nm combination). It is worth noting that the lamp tube 37 should not be directly reflected into the HSI lens, otherwise it will cause the image to be overexposed. Furthermore, a light-diffusing plate or a diffuser can be installed in the cabin 31 as needed to eliminate the hot spot effect.
[0032] Please refer to Figure 3. A weighing sensor 35 is installed on the bottom wall of the chamber 31. A base plate 36 is installed at the output end of the weighing sensor 35. The dryness of the medicinal materials can be detected by combining the weighing sensor 35 with the near-infrared spectrometer 32 (NIRS) or the hyperspectral imager 34 (HSI).
[0033] Objective: To establish an accurate moisture content prediction model for NIRS / HSI, it is necessary to obtain the actual moisture data (benchmark value) of medicinal materials at different drying stages.
[0034] The medicinal material samples were subjected to gradient drying (e.g., drying to moisture content of 20%, 15%, 10%, etc.), with simultaneous recording of: weighing sensor data at 35°C (to calculate the actual moisture content); NIRS spectroscopy or HSI images (to extract characteristic bands); and the establishment of a spectrum-moisture content relationship model using algorithms such as PLS and SVM for determination.
[0035] Therefore, the combination of the weighing sensor 35 and the spectral technology can significantly improve the efficiency and accuracy of the detection of dried medicinal materials, while reducing energy waste.
[0036] Please refer to Figures 1 and 2. A camera 4 is fixed on the housing 1. The camera is a Raspberry Pi camera of model 0V5647 in the prior art. The camera 4 is located on the same side as the detection chamber 3. The camera 4 is used to collect and identify the morphology (outline, texture, color) of the medicinal materials and check the product quality. A DHT22 air temperature and humidity sensor 5 is also fixed on the housing 1. The air temperature and humidity sensor 5 is used to identify and detect the temperature and humidity in the growth environment of the medicinal materials.
[0037] Please refer to Figure 2. An electric telescopic rod 6 is installed on the side of the housing 1 away from the camera 4. A soil pH sensor 7 and a soil moisture sensor 8 are installed at the output end of the electric telescopic rod 6. When the robot moves, the output ends of the soil pH sensor 7 and the soil moisture sensor 8 are inserted into the soil through the intermittent extension and retraction of the electric telescopic rod 6, respectively, to detect the pH and moisture in the soil, thereby identifying and detecting the soil environment for the growth of Chinese medicinal materials (to assist in the growth of Chinese medicinal materials).
[0038] The robot in this application is built on a multi-sensor hardware system based on Raspberry Pi (the camera 4 and a series of sensors), with optimized anti-interference design and power consumption management. It collects basic Chinese medicinal material samples (images are recorded and analyzed), synchronously records growth environment parameters (soil moisture, pH, etc.), constructs an initial dataset, and deploys algorithms and models to Raspberry Pi to achieve real-time detection and identification of the medicinal material growth environment.
[0039] Finally, it should be noted that the above embodiments are only preferred embodiments of this utility model and should not be used to limit the scope of protection of this utility model. Any non-substantial changes and substitutions made by those skilled in the art based on this utility model shall fall within the scope of protection claimed by this utility model.
Claims
1. A robot for identifying and quality inspecting Chinese medicinal materials, comprising a housing (1), wherein a robotic arm (2) is mounted on the top of the housing (1), characterized in that: The outer shell (1) is fixed with a detection chamber (3), which is located on the movement path of the robotic arm (2). The detection chamber (3) includes a cabin (31) with an open top. Near-infrared spectrometer (32) and electronic nose (33) are respectively installed on the upper middle part of the side wall of the cabin (31), and hyperspectral imager (34) is installed on the upper part of the side wall of the cabin (31).
2. The robot for identifying and inspecting the quality of Chinese medicinal materials according to claim 1, characterized in that: A weighing sensor (35) is installed on the bottom wall of the cabin (31), and a base plate (36) is installed on the output end of the weighing sensor (35).
3. The robot for identifying and inspecting the quality of Chinese medicinal materials according to claim 1, characterized in that: A lamp tube (37) is installed at the top opening of the cabin (31).
4. The robot for identifying and quality inspecting Chinese medicinal materials according to any one of claims 1 to 3, characterized in that: A camera (4) is fixedly mounted on the housing (1), and the camera (4) and the detection chamber (3) are located on the same side; an air temperature and humidity sensor (5) is also fixedly mounted on the housing (1).
5. The robot for identifying and inspecting the quality of Chinese medicinal materials according to claim 4, characterized in that: An electric telescopic rod (6) is installed on the side of the housing (1) away from the camera (4), and a soil pH sensor (7) is installed at the output end of the electric telescopic rod (6).
6. The robot for identifying and inspecting the quality of Chinese medicinal materials according to claim 5, characterized in that: The output end of the electric telescopic pole (6) is also equipped with a soil moisture sensor (8).
