5965 results about "Medicinal herbs" patented technology

The invention relates to the technical field of knowledge graph retrieval, in particular to a genuine medicinal material intelligent retrieval method and system based on a graph. The method comprises the following steps: performing semantic granularity analysis on a retrieval request input by a user, constructing a multi-level semantic edge and generating a hierarchical semantic graph structure; semantic enhancement is carried out on the map relation through semantic annotation, and a multi-condition intention is extracted in combination with dimensions such as regions, drug properties and channel tropism; further, the system executes multi-hop path combination, a structured semantic path conforming to the composite intention is mined, edge nodes in the path are inferred and complemented, and a genuine medicinal material retrieval result with a closed structure and complete semantics is generated. Compared with a traditional keyword matching and static field retrieval mode, the method has higher semantic perception ability and reasoning intelligence, and the accuracy and adaptability of the system in processing fuzzy, composite and path-incomplete retrieval scenes are remarkably improved.

The invention discloses a traditional Chinese medicinal material production quality analysis system and method based on machine vision, and belongs to the technical field of traditional Chinese medicinal material quality analys.The method specifically comprises the steps that images of traditional Chinese medicinal materials are collected, the collected images of the traditional Chinese medicinal materials are preprocessed, and morphological analysis is conducted on the preprocessed images of the traditional Chinese medicinal materials; analyzing forms of the traditional Chinese medicinal materials, analyzing colors, textures and deterioration conditions of the preprocessed traditional Chinese medicinal material images, evaluating and analyzing quality of the traditional Chinese medicinal materials, performing quality classification, and storing quality evaluation and analysis data of the traditional Chinese medicinal materials in each batch into a database for quality traceability and analysis; the method can flexibly adapt to medicinal materials in various forms, significantly reduces manual intervention, can detect potential quality defects, and improves the universality, reliability and accuracy of quality evaluation of traditional Chinese medicinal materials.

The invention discloses a traditional Chinese medicinal material quality evaluation method and system based on big data analysis, and relates to the field of traditional Chinese medicinal material detection, and the main scheme is as follows: obtaining soil parameter data of different medicinal material planting areas, and analyzing to obtain a soil fertility index and a planting suitability index; obtaining effective component contents of the traditional Chinese medicinal materials, and calculating effective component predicted values of the traditional Chinese medicinal materials; calculating a machining process stability index by analyzing the machining process parameters; calculating a mildew evaluation index according to the environmental mildew data and the medicinal material mildew data in the storage environment; a quality evaluation comprehensive index is obtained through comprehensive analysis; comparing the quality evaluation comprehensive index with a quality evaluation comprehensive index threshold value, judging whether the comprehensive quality evaluation of the traditional Chinese medicinal materials is qualified or not, and if the comprehensive quality evaluation is not qualified, judging a link causing a quality problem; the problems that a traditional Chinese medicinal material quality evaluation method in the prior art focuses on a single component and only focuses on the quality of traditional Chinese medicinal materials in a certain specific link are solved.

The invention relates to the technical field of quality tracing, in particular to a traditional Chinese medicine product quality control and tracing method and system, and the method comprises the following steps: obtaining the weight and screening medicinal materials, binding labels to form an index, verifying time difference to judge abnormity, locking the tracing authority and updating a log, and screening qualified medicinal materials to generate a tracing data list. According to the invention, through the processed weight of the traditional Chinese medicinal materials, accurate screening is realized, the medicinal materials which do not accord with the standard are eliminated, the source control force is enhanced, the binding process synchronizes the state identification and the label number, the tracing information specificity is guaranteed, the time difference comparison mechanism identifies data abnormity, active verification of information lag is realized, and the early warning capability is improved. Triggering a traceability limit mark in an abnormal state, forming an information closed loop, preventing risk medicinal materials from mistakenly entering a traceability chain, performing cross screening on a quality state and a time state, constructing a double-cause filtering model, improving the reliability of traceability data, and establishing a whole-process dynamic quality control and traceability path.

The invention discloses a multi-modal fusion-based traditional Chinese medicine recommendation method, system and device and a medium, and the method comprises the steps: constructing a heterogeneous graph according to a core representative object and preprocessed traditional Chinese medicine multi-modal data; inputting the heterogeneous graph into a graph neural network for data fusion to obtain traditional Chinese medicine multi-modal fusion data; constructing a knowledge graph based on the traditional Chinese medicine multi-modal fusion data to obtain a traditional Chinese medicine knowledge graph; segmenting the traditional Chinese medicine knowledge graph into sub-graphs processed by multiple agents according to the drug effect and the drug use safety, and obtaining a medicinal material sub-graph associated with a drug effect agent and a safety sub-graph associated with a safety agent; based on the medicinal material sub-graph and the safety sub-graph, collaborative iteration optimization is carried out through a medicinal material combination strategy and a medicinal material safety checking strategy to select medicinal materials, and an optimal compound recommended by the traditional Chinese medicine is obtained; and inputting the optimal compound into the fine-tuned large language model, and determining a target compound recommended by the traditional Chinese medicine. The accuracy of traditional Chinese medicine recommendation can be improved.

The invention relates to the technical field of identification model construction, in particular to a method for constructing a medicinal material identification model based on an image technology. The method comprises the following steps: acquiring a medicinal material sample image and extracting features, constructing a medicinal material identification map, acquiring an original medicinal material image and performing texture remodeling, generating a standard medicinal material image, performing multi-dimensional feature extraction and fusion, forming comprehensive feature representation, and performing growth extension simulation based on the representation. Carrying out initial identification according to the generated track and the identification map to obtain an initial result, carrying out map matching based on the initial result, carrying out edge comparison, generating edge comparison parameters, carrying out centralized contour reconstruction according to the parameters, carrying out detail texture retrieval to generate a final matching result, and carrying out connection marking to generate corresponding result data. And performing model training by using the result data to generate an intelligent medicinal material identification model. According to the invention, the efficient method for constructing the medicinal material identification model based on the image technology is realized.

The invention discloses a traditional Chinese medicinal material condition feature extraction and classification processing method and system, and the method comprises the following operation steps: collecting a medicinal material image of gastrodia elata, and carrying out the preprocessing of the medicinal material image of gastrodia elata to obtain a to-be-detected medicinal material image; performing edge detection on the to-be-detected medicinal material image to extract contour information to obtain a to-be-detected edge image; and extracting multi-scale mildew features of the to-be-detected edge image, and identifying abnormal defects of the rhizoma gastrodiae medicinal material image through the multi-scale mildew features. According to the invention, multiple features are extracted from the abnormal region of the to-be-detected edge image, so that mildew can be judged, and missing detection can be prevented according to recognition of holes.

The invention relates to the technical field of traditional Chinese medicinal material identification, in particular to a traditional Chinese medicinal material intelligent identification and grading system based on deep learning, which integrates image acquisition, feature extraction, expression optimization, identification evaluation and origin traceability into a whole. Curvature, structure tensor and spectral features are extracted in combination with a differential geometry theory; constructing a Riemannian manifold representation space and performing isometric embedding dimension reduction optimization; identifying the types of the medicinal materials by using a deep convolutional neural network, and comparing with a standard model to evaluate the quality grade; the origin discrimination is realized based on the multi-scale feature comparison of geodesic distance, the category, quality and traceability information of the medicinal materials are comprehensively output, the surface visual features and internal component information of the traditional Chinese medicinal materials are comprehensively utilized through a multi-source data fusion technology, and the feature expression ability and discrimination precision of the recognition system are comprehensively improved.

The invention provides an intelligent traditional Chinese medicine prescription processing and preparation system which integrates a prescription acquisition module, a medicinal material selection module, a dosage form analysis module, a dosage form decision module, an intelligent preparation module, an intelligent distribution module and the like. The system can receive traditional Chinese medicine prescriptions made by doctors in real time, intelligently recommend grades and production places of medicinal materials, analyze and display advantages and disadvantages of various suitable dosage forms, and allow patients to autonomously select dosage forms. And the intelligent preparation module adopts automatic equipment and an intelligent control technology, so that the accuracy and high efficiency of the preparation process are ensured. And the intelligent distribution module is responsible for safely and timely delivering the medicine to the patient. In addition, the system further has the functions of medicinal material producing area selection, intelligent medicine decocting, intelligent medicine sorting and the like, and the personalized and intelligent levels of traditional Chinese medicine prescriptions are further improved. Through comprehensive application of advanced technologies, full-chain intelligent management of traditional Chinese medicine prescriptions from issuing to preparation and distribution is realized, the efficiency and accuracy of traditional Chinese medicine preparation are improved, and individual requirements of patients are met.

The invention discloses a traditional Chinese medicine decoction piece finished product quality detection and analysis method and system, and belongs to the field of medicines.The method comprises the steps that S1, a compound component database is built, the database integrates pharmacopoeia standards, clinical composition structures, medicinal material source attributes and pharmacodynamic related parameters, and a standard model is built in a multi-level structuring mode; s2, collecting multi-modal map data of the traditional Chinese medicine decoction piece samples; s3, encoding the collected atlas data by adopting a heterogeneous feature extraction algorithm to generate a fusion structure feature vector; s4, inputting the fusion structure feature vector into a multi-channel evaluation model, and carrying out weight comparison, classification judgment and threshold evaluation; and S5, generating a quality detection report. The method has the beneficial effects that high-precision quality detection combining multi-modal fusion, intelligent discrimination and traceability visualization is realized, and the quality consistency evaluation and risk identification capability of the traditional Chinese medicine decoction pieces is effectively improved.

The invention discloses a traditional Chinese medicine quality tracing and identifying method based on a block chain two-dimensional code, and particularly relates to the technical field of quality tracing and identifying. The method comprises the following steps: extracting effective component contents, trace element contents and biological activity indexes of traditional Chinese medicinal materials, constructing a recessive feature data set reflecting the real quality state of the traditional Chinese medicinal materials, and further generating unique corresponding medicinal material quality block chain tracing identification information by adopting feature dimension reduction, Hash mapping and block chain binding means; in combination with an under-chain recessive feature database and an intelligent contract technology, accurate mapping and two-way verification of the traditional Chinese medicine recessive features and the block chain two-dimensional code are realized, and the authenticity of traditional Chinese medicine quality tracing and the accuracy of an identification result are improved.

The invention discloses a method for preparing rhizoma polygonati wine through combined fermentation of composite strains. The composite strain leavening agent is firstly provided, the leavening agent is composed of lactobacillus plantarum, lactic acid-producing bacillus and saccharomyces cerevisiae according to the mass ratio of (2-4): (1-2): (50-100), the composite strain leavening agent can effectively balance and improve the original bitter taste of rhizoma polygonati medicinal materials through the synergistic effect of composite strains, and the comprehensive quality of rhizoma polygonati wine is remarkably improved; the fermentation process is accelerated, the fermentation period is remarkably shortened, the production efficiency is improved, and the production cost is reduced. The invention further provides a method for preparing polygonatum kingianum wine based on the composite strain leavening agent, and the method has remarkable effects in the aspects of improving the taste, improving the fermentation efficiency, enhancing the product stability, reducing adverse metabolites, improving the nutrition and health-care value and the like, and can meet the pursuit of consumers for high-quality polygonatum kingianum health-preserving drinks.

The invention relates to the field of crop cultivation, and particularly discloses a multi-crop interplanting method with a high land utilization rate. According to the method, a multi-crop interplanting land distribution scheme is designed on the basis of user planting requirements, planting molds are built on land parcels with serious soil problems, and the planting molds are filled with crop growth supporting materials to serve as planting soil; planters can interplant various crops in the planting soil according to a multi-crop interplanting land distribution scheme, crops with serious soil-borne diseases, such as solanaceae or medicinal materials, can be planted on the same land for many years, planting can be carried out in land parcels with serious soil problems, the land utilization efficiency is improved, and the planting cost is reduced. The crop yield per unit land area can be increased in an interplanting mode, land resources are fully utilized, meanwhile, the planting production cost is reduced, and the economic output per unit area is increased.

The invention discloses a rhizoma menispermi medicinal material and formula granule UPLC (Ultra Performance Liquid Chromatography) identification method, which is characterized in that specified values of relative retention time of the rhizoma menispermi medicinal material and formula granule are determined through a high performance liquid chromatography, and the relative retention time of a corresponding test solution is respectively within + / -10% of the corresponding specified values of the rhizoma menispermi medicinal material and formula granule. The method can effectively identify the rhizoma menispermi medicinal material and the formula granules, can be used for identifying rhizoma menispermi and counterfeit berba aristolochiae mollissimae and subprostrate sophora medicinal materials and formula granules, and can also be used for identifying rhizoma coptidis, cortex phellodendri, caulis sinomenii and other medicinal materials containing alkaloid components and formula granules. The method overcomes the defects of the existing method, and has the characteristics of simplicity in operation, good stability, rich chromatographic peak information amount, good repeatability and high stability.

The invention discloses a traditional Chinese medicine composition with the effects of benefiting qi, nourishing blood, invigorating the spleen and tonifying the kidney and a preparation method of the traditional Chinese medicine composition. The traditional Chinese medicine composition is prepared from the following raw materials in parts by weight: cistanche, ginseng, American ginseng, astragalus membranaceus, medlar, rhizoma polygonati, oyster peptide, angelica sinensis, radix rehmanniae preparata, donkey-hide gelatin, fructus amomi, pericarpium citri reticulatae, hawthorn, folium cortex eucommiae, radix puerariae, liquorice and the like. The preparation method comprises the following steps: respectively crushing the medicinal materials, dissolving the colla corii asini, mixing, adding water, granulating and the like. The composition can be prepared into various dosage forms such as granules, capsules, tablets, oral liquid and the like. Experiments show that the traditional Chinese medicine composition can effectively improve the symptoms of deficiency of qi and blood (increasing erythrocyte count and hemoglobin content), weakness of spleen and stomach (increasing body weight and improving pepsin activity) and kidney deficiency (reducing creatinine and urea nitrogen content and improving SOD activity), and acute toxicity experiments show that the toxicity is slightly reversible under high dosage, and the safety is good under therapeutic dosage. The traditional Chinese medicine composition has potential application value in the aspect of preparing medicines for benefiting qi, nourishing blood, invigorating spleen and tonifying kidney.

The invention provides a raman peak intensity information-based genuine medicinal material structured feature selection method and system. The method comprises the following steps: scanning medicinal material slices to generate two-dimensional distribution data of chemical components; a three-dimensional feature is constructed by using dual-wavelength laser irradiation and combining Raman peak intensity difference. And identifying a plurality of concentration regions and boundary cross points thereof through spatial topology analysis, establishing a spatial correlation model, analyzing a distribution rule, and finally forming component arrangement graph structure data. Key information is screened based on genuine medicinal material features, and after a discrimination model is input, a result is output in combination with spatial and spectral features, so that accurate discrimination is realized. And selecting the structured characteristics of the genuine medicinal materials based on Raman peak intensity information. According to the method, the spatial topology and the chemical component distribution characteristics of the Raman spectrum are fused to construct the graph structured identification model, so that the accuracy and the interpretability of genuine medicinal material identification are remarkably improved.

The invention provides a content detection method for a salvia miltiorrhiza medicinal material, a salvia miltiorrhiza clear paste and a musk heart-dredging dropping pill. According to the method, a high performance liquid chromatography method is adopted, octadecylsilane chemically bonded silica is used as a chromatographic column filler, acetonitrile is used as a mobile phase A, 0.02%-0.1% trifluoroacetic acid is used as a mobile phase B, gradient elution is carried out, and rosmarinic acid and salvianolic acid B in the salvia miltiorrhiza medicinal material are synchronously and quantitatively detected. And synchronously and quantitatively detecting tanshinol, protocatechuic aldehyde, caffeic acid, salvianolic acid E, rosmarinic acid, alkannic acid and salvianolic acid B in the salvia miltiorrhiza clear paste, and synchronously and quantitatively detecting tanshinol, protocatechuic aldehyde, caffeic acid, salvianolic acid E, rosmarinic acid, alkannic acid, salvianolic acid B, arenobufagin and bufalin in the musk Tongxin dropping pill. The method is used for monitoring the content of specific components, can also judge the transfer rate in the medicine production process, and facilitates traceability in the production link. In addition, the method is relatively low in equipment requirement and suitable for industrial popularization.

The invention relates to the cross technical field of artificial intelligence and traditional Chinese medicine, and discloses a traditional Chinese medicine artificial intelligence accurate quantity control unmanned medicine decocting system, the system constructs nine modules, a prescription data analysis module realizes intelligent analysis of prescription information, a process scheme intelligent formulation module realizes automatic generation of a personalized decoction scheme, and a traditional Chinese medicine decoction module realizes automatic control of the traditional Chinese medicine decoction. The multi-modal sensing data acquisition module realizes real-time data acquisition in the whole process, the dynamic regulation and control module realizes online process deviation correction, the equipment management module realizes accurate execution of fire power, pressure, water quantity, feeding and split charging, and the intelligent decoction end point judgment module realizes objective quantitative judgment of a decoction end point. The self-cleaning and sterilization maintenance module realizes no cross contamination in the equipment, the man-machine interaction module realizes local and cloud convenient operation, the safety early warning module realizes multi-fault active defense, and all the modules cooperate to realize intelligent control. The method has the advantages of intelligent prescription analysis, dynamic process adaptation, multi-dimensional sensing fusion, accurate judgment and special medicinal material differentiation treatment.

The invention provides a construction method and application of an angelica sinensis potion fingerprint spectrum, and belongs to the technical field of drug detection.The construction method includes the steps that firstly, an angelica sinensis potion is used for preparing a test solution, then 0.08-0.12 wt% phosphoric acid aqueous solution (A)-acetonitrile (B) serves as a mobile phase, and the angelica sinensis potion fingerprint spectrum is obtained through high performance liquid chromatography detection, a standard fingerprint spectrum is established and is used for quality evaluation or control in the whole process of research / development / production / clinical application of the angelica sinensis potion. According to the construction method of the fingerprint spectrum of the angelica sinensis potion, main medicinal material components in the angelica sinensis potion can be detected only through high performance liquid chromatography, so that the quality condition of the angelica sinensis potion is reflected more comprehensively.

The invention discloses a rapid identification and comprehensive evaluation method for a polygonatum cyrtonema provenance, and belongs to the field of improved variety breeding and quality control of traditional Chinese medicinal materials. The method systematically measures a plurality of specific biological traits covering three dimensions of growth, physiology and medicine. And carrying out standardization processing on the measured multi-dimensional data, carrying out dimensionality reduction by using a principal component analysis model, constructing an evaluation model capable of comprehensively reflecting the comprehensive quality of the provenance, and calculating a quantitative comprehensive evaluation score. The score can objectively and scientifically divide different provenances into four different quality grades including excellent, good, common and to-be-improved quality grades. The method has the beneficial effects that the strong positive correlation between the easily measured growth traits of the overground part and the medicinal component content of the underground rhizome for determining the final quality of the medicinal material is established, so that the rapid, predictive and non-destructive early screening of the provenance quality is realized.

The invention relates to the technical field of medicinal material identification. The invention discloses a multi-source data intelligent fusion medicinal material identification system and method, and the system comprises a data collection module which is used for collecting various information of medicinal materials, a data preprocessing module which is used for processing the data collected by the data collection module, and a feature extraction module. The feature extraction module is used for carrying out feature extraction on information processed by the data preprocessing module, the feature fusion module is used for fusing features extracted by the feature extraction module to form a comprehensive feature vector, the medicinal material recognition model module is used for recognizing medicinal materials through the comprehensive feature vector and determining the types of the medicinal materials, and the recognition result output module is used for outputting recognition results. The system is used for outputting and storing various information of medicinal materials. According to the multi-source data intelligent fusion medicinal material identification system and method, image data can be utilized, smell data, infrared spectrum data and other information sources can be combined, and the accuracy of medicinal material identification is comprehensively improved through multi-modal data analysis.

The invention discloses a device and method for precise administration of traditional Chinese medicine preparations. The device comprises a control module used for obtaining physical information and disease information of a to-be-administered user, performing multi-dimensional feature extraction to obtain multi-dimensional feature information, and generating a corresponding dynamic prescription and an individual administration scheme according to a first knowledge graph; obtaining a second knowledge graph; the traditional Chinese medicine efficacy association network constructs a synergistic effect relationship of different medicinal materials through a graph neural network; the medicine warehouse management module comprises a multi-temperature-zone medicine storage unit and a medicinal material weighing unit, and the multi-temperature-zone medicine storage unit divides independent storage spaces according to medicinal material attributes; the medicine feeding robot comprises a medicinal material extracting and packaging all-in-one machine; the control module controls the medicine library management module to dispense the medicinal materials according to the dynamic prescription, and controls the medicine delivery robot to perform directional extraction, concentration adjustment and time-phased packaging on the dispensed medicinal materials according to an individual taking scheme; the individualized administration regimen includes a pulsed administration timing calculated based on the metabolic cycle of the patient.

The invention discloses a method for identifying dracocephalum heterophyllum benth in different drying modes, which comprises the following steps: S1, drying dracocephalum heterophyllum benth, including natural drying in the shade, hot air drying and vacuum freeze drying; s2, feeding the dried sample in a headspace mode; s3, a GC-IMS instrument is used for analysis; and S4, carrying out qualitative and quantitative analysis on the detected volatile components through VOCal software, and constructing a GC-IMS spectrogram and a fingerprint spectrum of the volatile components. Through GC-IMS technology and VOCal software analysis, dracocephalum heterophyllum benth subjected to natural shade drying, hot air drying and vacuum freeze drying treatment can be distinguished precisely with high sensitivity, and a reliable technical means is provided for quality control of medicinal materials.

The invention discloses hawthorn leaf pectic polysaccharide with lipid-lowering activity and a preparation method and application thereof, and belongs to a preparation method of plant polysaccharide, the preparation method comprises the following steps: refluxing hawthorn leaves with ethanol, discarding monosaccharide and small molecule compounds, refluxing with hot water to extract medicinal materials, removing protein through an enzymolysis method and a Sevage reagent method, decolorizing with polyamide resin, and drying to obtain the hawthorn leaf pectic polysaccharide with lipid-lowering activity. The crude polysaccharide is separated through DEAE-52 column chromatography, and finally, the crude polysaccharide is further purified through Sephadex G-100, so that the uniform purified polysaccharide is obtained. Tests on pancreatic lipase inhibition, taurocholate binding capacity and glycocholate binding rate show that the compound has remarkable lipid-lowering activity and is expected to become a potential natural lipid-lowering preparation.

The invention provides a construction method of fingerprint spectrums of katsumadai medicinal material, standard decoction and formula granules thereof, which comprises the following steps: preparing a mixed reference solution from alpinetin, pinocembrin, cardamonin and alnudinone; preparing a test solution from the alpinia katsumadai medicinal material, the standard decoction or the formula granules; respectively detecting the reference solution and the test solution by adopting a high performance liquid chromatography, and constructing fingerprints of the alpinia katsumadai medicinal material, the standard decoction and the formula granules of the alpinia katsumadai medicinal material; wherein the conditions of the high performance liquid chromatography are as follows: a mixed solution of acetonitrile and methanol is taken as a mobile phase A, a phosphoric acid aqueous solution with the volume concentration of 0.08%-0.12% is taken as a mobile phase B, and a gradient elution procedure is adopted. The method has the advantages of being simple, stable and high in specificity, and a comprehensive, effective and rapid evaluation method is provided for quality control of alpinia katsumadai medicinal materials, standard decoction and formula granules of the alpinia katsumadai medicinal materials.

The invention discloses a construction method and an identification method of characteristic chromatograms of a senecio scandens medicinal material as well as decoction pieces, standard decoction and formula granules thereof, and relates to the technical field of traditional Chinese medicine identification. The construction method of the specific chromatogram comprises the following steps: extracting a to-be-detected sample with methanol to obtain a test solution; the method comprises the following steps: dissolving 5-caffeoylquinic acid, chlorogenic acid, caffeic acid, 4-caffeoylquinic acid, rutin, hyperoside, isoquercitrin and 4, 5-dicaffeoylquinic acid with methanol to obtain a reference solution; and a liquid chromatograph is adopted for determination. A chromatographic column of the liquid chromatograph takes phenyl-methyl polysiloxane as a stationary phase, acetonitrile as a mobile phase A and 0.05 vol%-0.3 vol% formic acid aqueous solution as a mobile phase B for gradient elution. The information of the characteristic chromatogram constructed by the method is rich, and the quality of the senecio scandens medicinal material, decoction pieces, standard decoction and formula granules can be quickly and comprehensively reflected.

The invention provides a traditional Chinese medicine decoction piece production traceability method based on the Internet of Things, and relates to the technical field of traditional Chinese medicine traceability, and the method comprises the steps: carrying out the distinguishing marking of medicinal material planting regions of traditional Chinese medicine decoction pieces, and obtaining the marking information; and establishing an Internet of Things platform, inputting the mark information and the data of each production link into the Internet of Things platform to form production data, and generating a two-dimensional code of a corresponding product. And obtaining a data set of the historical production data and a source corresponding to the abnormal value in the historical production data. And constructing a random forest network model based on the eagle optimization algorithm, training the network model by using the data set to obtain an optimal network model, and tracing the abnormal value in the production data by using the optimal network model to obtain the source of the abnormal value. The source of the abnormal value is analyzed; and the production control flow is improved. According to the method, the random forest network model based on the eagle optimization algorithm is constructed, abnormal values in the production process are traced, and the production traceability efficiency of the traditional Chinese medicine decoction pieces is improved.

The utility model relates to the technical field of traditional Chinese medicinal material treatment, in particular to material screening equipment for traditional Chinese medicinal material treatment, and aims to solve the technical problems that a traditional winnowing technology is low in separation precision, poor in adaptability to medicinal materials with different densities and shapes and prone to causing medicinal material loss. Comprising a feeding mechanism, a winnowing box, an air inlet channel, an air channel, a discharging channel, an air pipe, an air outlet, a ball valve, a sliding plate, a connecting plate, a hydraulic cylinder, a support, a feeding shell, feeding blades and a feeding shaft, a draught fan blows air into the winnowing box through the air inlet channel to conduct winnowing on medicinal materials, and then high-speed airflow carries the medicinal materials to enter the next winnowing box through the air channel. The wind power in the next winnowing box is reduced by adjusting the opening degree of the ball valve, impurities with the quality slightly close to that of normal medicinal materials are further removed, in this way, during multi-stage treatment, complete separation of the medicinal materials and the impurities and impurity removal, all the sliding plates are controlled to slide out at the same time, the winnowing boxes are communicated with one another, impurities fall down and are discharged through the bottom winnowing box, and impurity removal is completed.

The invention relates to the technical field of medicinal material planting environment monitoring, in particular to a chicory medicinal material planting environment monitoring system. The system comprises a data acquisition module used for acquiring soil humidity sequences corresponding to sensors in different land parcels in a preset time period; obtaining suspected abnormal data points in the soil humidity sequence; the clustering analysis module is used for clustering suspected abnormal data points of a soil humidity sequence to obtain clusters; obtaining the distribution aggregation degree of the cluster, and then judging whether the cluster is an abnormal cluster or not; the conjoint analysis module is used for acquiring the associated change characteristics of the abnormal cluster according to the humidity which is the same as the suspected abnormal data point moment in the abnormal cluster in the abnormal cluster of one sensor and the soil humidity sequence of the neighborhood sensor; and the monitoring analysis module is used for judging whether drainage of the land parcel is abnormal or not according to the associated change characteristics of the abnormal clusters corresponding to the land parcel. The soil humidity monitoring device can accurately monitor the soil humidity of chicory medicinal material planting.

The invention belongs to the technical field of Tibetan medicinal material processing, and particularly relates to a Tibetan medicinal material vacuum freeze-drying process which comprises the following steps: feeding a loading tray into a freeze-drying bin, and cooling at a speed of 1-2 DEG C / min; when the center temperature of the material reaches-35 DEG C, maintaining for 2-4 hours; a vacuum system is started, and the pressure in the bin is reduced to 10-30 Pa; the initial temperature of the heating plate is set to be-10 DEG C to 10 DEG C; real-time monitoring is carried out through an array type sensor network; vacuum breaking operation; through accurate perception, intelligent diagnosis, robust decision making and self-adaptive regulation and control, the quality problems of collapse, coking, active ingredient degradation and the like of the medicinal materials in the drying process can be effectively prevented, and high quality and high uniformity of a final product are ensured. Meanwhile, by optimizing a drying path, unnecessary energy consumption and time waste are avoided, the economic benefit of the whole production process is improved, and the method is particularly suitable for modern processing of precious Tibetan medicinal materials with extremely high quality requirements.