415 results about "Primary screening" patented technology

The invention discloses an automobile cushion sponge quality detection method based on artificial intelligence, and particularly relates to the field of quality detection.The method comprises the steps that sponge full-surface data is obtained and preprocessed, then detection units are divided according to double-layer grids, surface damage, stains and density uniformity are detected based on an artificial intelligence model, and preliminary screening is executed; if not, stopping the detection; after the primary screening is qualified, collecting internal structure data of the sponge, extracting defect characteristics, and carrying out a cyclic indentation test to obtain physical performance parameters; single-mode quality functions of the surface, the internal structure and the physical performance are constructed respectively, after function data are preprocessed and subjected to environment correction, primary filtering is performed firstly, then a D-S evidence theory is applied to perform multi-mode fusion decision so as to output a final quality judgment result, and meanwhile, detection data feedback optimization is combined to form a quality control closed loop, so that the quality control accuracy is improved. And intelligent and accurate detection of the quality of the automobile cushion sponge is realized.

The invention belongs to the technical field of tunnel construction monitoring, and particularly relates to a tunnel primary support deformation detection method and system based on three-dimensional point cloud. The method comprises the following steps: carrying out adaptive feature enhancement processing on an original tunnel initial supporting point cloud, and outputting an enhanced point cloud; constructing an edge vector field of double-plane geometric constraint based on the enhanced point cloud; based on the edge vector field, through a joint objective function containing registration item and deformation detection item weights, an alternating direction multiplier method is adopted to synchronously optimize and solve point cloud registration parameters and a preliminary screening deformation point set; calculating the displacement consistency confidence coefficient through orthogonal projection decomposition by applying the optimal registration parameter and the preliminary screening point set, and performing cross validation and outputting a final deformation point set; and establishing an autoregression model with curvature constraint based on the final deformation point set to carry out primary support deformation spatio-temporal evolution prediction and early warning. According to the method, the precision and reliability of initial support deformation detection in a complex tunnel environment are remarkably improved, registration error transmission is effectively inhibited, and the long-term deformation prediction capability is enhanced.

The invention relates to a construction method of a metabolic syndrome phlegm syndrome lipid metabolism characteristic diagnosis model. The construction method comprises the following steps: S1, acquiring a serum sample; s2, carrying out lipid metabolite analysis through a full-quantitative lipidomics formula; s3, carrying out primary screening on differential metabolites; s4, optimizing the characteristic indexes by using a random forest algorithm and stepwise regression; and S5, constructing a differential metabolite diagnosis model through Logistic regression analysis. By analyzing differential lipid metabolites of patients with MetS phlegm syndromes and non-phlegm syndromes, the invention reveals that abnormal accumulation of lipid and lipid metabolites may be the core pathological parenchyma of MetS phlegm syndromes. By integrating lipid metabonomics data, using a random forest algorithm, stepwise regression and other methods to screen feature difference lipid metabolites and construct a MetS phlegm syndrome specific diagnosis model, a novel combined biomarker and evidence-based basis are provided for early diagnosis of MetS phlegm syndromes, and a scientific basis can also be provided for objective diagnosis of traditional Chinese medicine phlegm syndromes.

The invention discloses an efficient cascade multi-stage self-adaptive threshold fishing detection method, and provides a cascade multi-stage self-adaptive threshold fishing detection framework aiming at the problems of insufficient anti-robustness, insufficient multi-mode collaboration, unbalanced detection efficiency and precision and the like in the existing fishing detection technology. In the first stage, millisecond-level primary screening is achieved through a lightweight single-mode detection model, and 80% or above of low-level threats are intercepted; and in the second stage, a multi-modal fusion model with high anti-interference capability is adopted, the anti-robustness is improved by combining frequency domain feature enhancement and a dynamic noise injection technology, deep correlation features are mined through a cross-modal attention mechanism, and accurate recognition of complex phishing attacks is realized. And meanwhile, an online learning module is integrated, so that the system continuously adapts to a novel attack mode, and finally, the high-precision, low-delay and strong-anti-interference detection capability is achieved.

The invention provides an initial construction land parcel detection method fusing remote sensing time-space spectrum characteristics, which comprises the following steps: carrying out wave band operation on different time phase remote sensing images by utilizing a land cleaning land parcel detector, and realizing primary screening detection on potential change land parcels based on spectral characteristic variation caused by land cleaning; a double-branch deep convolutional neural network of a convolutional neural network based on an object-scene is used for extracting double spatial features, a pseudo-change region caused by farming activities and vegetation phenological changes is eliminated through decision-making level fusion of feature spaces, and finally high-precision initial development plot pattern spots of the construction land are output. According to the invention, the spatial features of the target object and the scene thereof can be synchronously extracted by using the double-branch deep network, and high-precision detection of the initial development plot of the construction land is realized; according to the method, high-precision extraction of the initial development plot of the construction land is realized, the problem of false detection caused by crop rotation and vegetation phenological change is solved, and the accuracy and reliability of a detection result are remarkably improved.

The invention relates to the technical field of bio-electricity signal acquisition, and particularly discloses a multi-channel bio-electricity signal acquisition system and a multi-channel bio-electricity signal acquisition method.The multi-channel bio-electricity signal acquisition system comprises a bio-electricity signal acquisition unit and a data processing unit; the data processing unit is used for compensating the original electrophysiological signals according to the real-time impedance value transmitted by the analog-to-digital conversion unit, performing primary screening on the original bio-electricity signals through the lowest quality threshold value, and performing primary compensation on the original bio-electricity signals according to the real-time impedance value, the standard impedance value and the breathing phase; according to the method, more flexible quality requirement setting is realized, the quality threshold setting difficulty is reduced, secondary screening is performed on the corrected bio-electricity signals through the highest quality threshold, and secondary compensation is performed on the corrected bio-electricity signals by adopting the LSTM network, so that the influence of bio-impedance fluctuation on the bio-electricity signals is reduced, and the quality of the bio-electricity signals is improved. And the acquisition quality and stability of the bio-electricity signals are improved.

The invention discloses a method for evaluating, depicting and dynamically monitoring the ecological self-purification capacity of a site, which comprises the following steps of: primarily screening indexes for evaluating, depicting and dynamically monitoring the ecological self-purification capacity of the site, determining a core ecological self-purification index and determining a weight; defining a pollution core area, a transition area and a background area; the terrain deviation is corrected, the threshold value is dynamically adjusted in combination with seasonal monitoring data, and high-precision demarcation of the ecological boundary is achieved; site investigation is carried out, and historical data of each pollution index is collected; determining a relationship between the evaluation index and the ecological self-cleaning capability, constructing a comprehensive evaluation model of the ecological self-cleaning capability of the site, and calculating a main component and an ecological self-cleaning capability score; according to the principal component score and the ecological self-cleaning ability score, drawing a single-index thermodynamic diagram and a comprehensive self-cleaning ability thermodynamic diagram, and realizing GIS space visualization ecological analysis; and performing dynamic detection and model optimization verification. According to the method, spatial description and optimization of the ecological self-purification capacity are achieved, and precise treatment and enhanced treatment of a polluted site are facilitated.

The invention discloses a high-efficiency wheat breeding method based on a modern biotechnology, and belongs to the technical field of high-efficiency wheat breeding, and the method comprises the following steps: S1, collecting and identifying wheat germplasm resources, and screening materials with target character expressions; s2, performing phenotype identification on the screened material under a multi-ecological environment condition to obtain integrity expression data; s3, carrying out genetic typing on the identified material by adopting an SNP chip or a sequencing technology, and constructing a wheat high-density genetic map; s4, based on the genetic map and phenotype data, carrying out QTL positioning analysis on the target character, and determining a key control site; s5, establishing a whole genome selection model based on the genetic map and phenotype data, and performing predictive selection and breeding value evaluation on the germplasm material offspring; by integrating a QTL positioning result and a high-throughput SNP typing technology, target character recognition on a gene level is realized in a germplasm resource preliminary screening stage, the precision and efficiency of early-stage material selection are remarkably improved, and the screening burden of breeding populations is reduced.

The invention relates to the technical field of intelligent agriculture, and discloses a farmland pest image recognition inspection robot which comprises a moving and navigation platform, a wide-area sensing and screening system, a multifunctional diagnosis and marking mechanical arm and a data processing and control unit. The wide-area sensing and screening system of the robot is used for primarily screening images to lock suspicious target plants; an active physiological probe and an in-situ micro-marking nozzle module are integrated at the tail end of the multifunctional diagnosis and marking mechanical arm. The method comprises the following steps: performing contact measurement on a suspicious target plant to obtain multi-modal physiological information and performing preliminary diagnosis; when the diagnosis state is suspected, performing in-situ micro-labeling on the plant; and after a preset time interval, repositioning the plant and retesting. According to the method, wide-area image screening and contact type time sequence physiological diagnosis are combined, and the accuracy of disease and pest diagnosis, the early warning capability and the decision reliability are remarkably improved.

The invention relates to a vegetable pesticide content detection process, which belongs to the technical field of vegetable pesticide detection and comprises a multi-source data acquisition module, a risk pre-judgment module, a sample preprocessing module, a rapid screening module, a high-precision detection and multi-pesticide identification module and a report generation module. The multi-source data acquisition module comprises a planting data acquisition unit, an Internet of Things environment data acquisition unit, a meteorological data acquisition unit and an unstructured data acquisition unit. According to the method, the risk probability is pre-judged through multi-source data modeling, so that accurate detection can be triggered only for high-risk samples, resource waste caused by high-cost analysis of all the samples is avoided, the detection period can be effectively shortened, and the detection accuracy is improved by combining the enzyme inhibition rate method for rapid preliminary screening and the near infrared spectrum-chromatography-mass spectrum for accurate confirmation. The timeliness of rapid screening is reserved, and the defect that a traditional single spectrum technology cannot identify specific pesticide types is overcome, so that the detection accuracy can be effectively improved.

The utility model discloses a sand screening machine convenient for classified screening, which relates to the technical field of sand screening machines and comprises a multi-stage screening component consisting of an outer screening drum, a connecting rod and an inner screening drum. Secondary screening holes and primary screening holes are formed in the outer side of the outer screen drum and the outer side of the inner screen drum respectively, and the mesh number of the primary screening holes is smaller than that of the secondary screening holes, so that screening of stones with different particle sizes is achieved. Multi-stage screening operation of materials can be achieved by arranging the structure of the inner screen drum and the outer screen drum, meanwhile, by arranging the connecting column and the self-weight impact hammer, when the connecting column rotates to be inclined upwards along with the outer screen drum, the self-weight impact hammer slides along the outer wall of the connecting column to impact the outer wall of the inner screen drum to achieve knocking vibration on the inner screen drum, and therefore the screening efficiency is improved. In this way, the gravel clamped on the inner sides of the primary screening holes are loosened and separated from the primary screening holes, the primary screening holes are prevented from being blocked, and therefore the device can keep the long-time efficient screening effect.

The utility model relates to the technical field of pepper processing, and discloses a pepper primary selecting and screening device which comprises a screening cylinder, a shelling mechanism is fixedly arranged on the upper surface of the screening cylinder, a screening mechanism is arranged in the screening cylinder, the shelling mechanism is used for conducting pretreatment shelling on pepper, and the screening mechanism is used for conducting screening on the pepper. And the screening mechanism is used for removing impurities from the Chinese prickly ash and screening the Chinese prickly ash. The screening mechanism is arranged in the screening cylinder, when Chinese prickly ash is subjected to primary screening, a driving motor can be used for driving a movable plate to rotate, then an arc-shaped linkage block is driven to downwards extrude an impurity removal net cover, and therefore the impurity removal net cover achieves the effect of vibrating up and down under the action of a reset spring; according to the device, the impurity removal net cover can be used for conducting vibration screening on Chinese prickly ash, branches, leaves and hulls of the Chinese prickly ash after hulling can be screened, the Chinese prickly ash can be dried and dehumidified in the impurity removal process, the Chinese prickly ash is kept dry, and the purpose of facilitating impurity removal and screening is achieved.

The invention provides an intelligent optimization method and system for a mine water deep reinjection horizon, and the method comprises the steps: 1, constructing a three-dimensional geological twin body of a mining area, which comprises the definition of a multi-objective function: maximizing a safety objective f1; minimizing the economical efficiency target f2; the environmental protection target f3 is maximized; 2, multi-objective optimization and Pareto optimal solution set generation are carried out; step 3, intelligent decision and optimal horizon determination: step 301, selecting an optimal horizon; 302, chemical components of mine water are determined, and all buried layer positions are marked as preliminary screening layer positions; and step 303, obtaining comprehensive compatibility indexes of the preliminary screening horizon, and marking the preliminary screening horizon with the maximum value in the comprehensive compatibility indexes as a preferred horizon. According to the method, the horizon optimization efficiency is improved through dynamic modeling and multi-objective optimization, the optimization accuracy is ensured by means of multi-dimensional compatibility evaluation and multi-field coupling analysis, and a technical path with high efficiency and reliability is provided for scientific decision-making of the mine water reinjection horizon.

The invention discloses a fabric antibacterial performance evaluation method and system, and relates to the technical field of antibacterial data processing. The method for evaluating the antibacterial performance of the fabric comprises the following steps: acquiring a bacterial data set after bacterial culture of a to-be-evaluated sample fabric; performing primary evaluation on the to-be-evaluated sample fabric based on the bacterial data set, and screening out primarily-screened sample fabric qualified in primary evaluation; acquiring physical characteristic data of the primarily screened sample fabric, and analyzing and screening a final qualified sample fabric based on the physical characteristic data; the fabric antibacterial evaluation qualification rate is determined based on the ratio of the sample fabric to the to-be-evaluated sample fabric, preliminary screening is performed, and the antibacterial effect of the fabric can be preliminarily determined; the physical characteristic data of the primarily screened sample fabric is obtained, the finally qualified sample fabric is screened out through physical characteristic data analysis, and the fabric antibacterial evaluation qualification rate is determined, so that the problems of incomplete data and insufficient accuracy in the fabric antibacterial effect evaluation process are effectively solved, and the scientificity and objectivity of antibacterial performance evaluation are enhanced.

The utility model discloses a crop seed screening device, which belongs to the technical field of crop seeds and comprises a mounting frame, a feed hopper is fixedly connected in the mounting frame, a moving plate is slidably clamped at the bottom of the feed hopper, a connecting frame is arranged in the mounting frame and is positioned below the feed hopper, and the moving plate is slidably clamped at the bottom of the connecting frame. A rotating box is arranged in the mounting frame, the connecting frame is located above the rotating box, a discharging port is fixedly connected to the bottom of the rotating box, and the seed screening device further comprises a vibration assembly and a reciprocating rotating assembly. Large or heavy impurities and seeds which do not meet requirements are effectively separated through the vibration effect, the screening efficiency is improved, the reciprocating rotating assembly drives the rotating box to swing in a reciprocating mode, the seeds on the second filter screen are subjected to force in different directions, finer secondary screening is achieved, and the screening effect is further improved.

The invention discloses a bacillus subtilis strain and application thereof. Belongs to the technical field of gold metolachlor degradation. The method comprises the following steps: taking a soil sample from a perennial land where Jinmetor is applied, taking a bacterial cake of the strain in a basic inorganic salt solid culture medium which takes Jinmetor as a unique carbon source, carrying out primary screening on microorganisms in the soil by observing whether a transparent circle can appear around the bacterial cake or not, determining the degradation rate of the strain through a liquid chromatography, and carrying out secondary screening, and identifying the screened strain through morphology, physiology, biochemistry and molecular biology to obtain the bacillus subtilis TXB2. When the bacillus subtilis TXB2 is used for potting control effect tests and field control effect tests on buckwheat seedlings, phytotoxicity in the buckwheat seedling stage can be relieved, and the bacillus subtilis TXB2 is safe to people and livestock.

According to the method for improving solidification of the aeolian sandy soil by constructing the synthetic community based on the composite urease bacteria, the composite urease bacteria are screened based on collection and treatment of local aeolian sandy soil and strains to construct the synthetic community, the composite urease bacteria liquid is sprayed on the aeolian sandy soil, and the composite flora can improve the deposition rate and quality of calcium carbonate through a synergistic effect, so that the solidification of the aeolian sandy soil is improved. Meanwhile, the adaptability to environment change is enhanced, so that the aeolian sandy soil is effectively solidified; calcium carbonate deposition and solidification of aeolian sandy soil are carried out through a composite urease bacterial solution, and the method comprises the following steps: step 1, sample collection and pretreatment; step 2, primarily screening and separating urease-producing strains; 3, performing urease activity quantitative detection and secondary screening; 4, testing the extreme environment adaptability; step 5, preparing a composite urease bacterium community; and step 6, preparing a composite urease bacterial liquid.

The invention discloses an early cancer screening model based on a cloud architecture and a construction method, and particularly relates to the technical field of medical artificial intelligence. The method comprises the following steps: firstly, collecting and normalizing heterogeneous medical image and biomarker data of a plurality of geographic areas, and constructing a unified data set; then extracting image features and marker features by adopting multi-task learning, fusing equipment and region attributes, establishing a joint representation vector, and training a preliminary screening model; after the model is deployed to a cloud end, target area data is adapted through online transfer learning, and an area model is generated; further extracting an activation heat map, identifying a weak signal high response area in combination with sensitivity analysis, comparing with manual annotation, constructing a local weight adjustment strategy based on errors, optimizing the model, and outputting a final model; the method improves the recognition capability of early lesions under the condition of low signal-to-noise ratio, is suitable for remote and basic screening scenes, and has a high practical value.

The utility model provides a field soil crushing machine, which relates to the technical field of farming machinery and comprises a soil block collecting device, a primary screening device, a soil block transmission device and a soil crushing device. The soil block collecting device is connected with the soil crushing device through a soil block transmission device; the soil block collecting device goes deep into a soil layer to take soil, the soil block transmission device conveys the taken soil, and the primary screening device screens soil blocks on the soil block transmission device, so that the large soil blocks enter the soil crushing device to be crushed. Soil is taken through the soil block collecting device, soil blocks on the soil block transmission device are primarily screened through the primary screening device, small aggregates and soil particles meeting the farming standard are screened and fall back to the field without being crushed, and large soil blocks are left on the soil block transmission device and conveyed to the soil crushing device to be crushed. Therefore, large soil blocks can be accurately crushed, the physical structure of the soil is improved, and the granular structure of the soil is not damaged, so that hardened fields or fields with large soil blocks are easy to cultivate.

The invention discloses a method for analyzing component difference between Maotai-flavor yeast and yeast-making wheat by using non-targeted metabonomics. The method comprises the following steps: S1, pre-treating a sample; s2, detecting each sample by adopting the combination of an ultra-high performance liquid chromatograph and a quadrupole time-of-flight mass spectrometer; s3, acquiring original data, performing peak extraction, peak alignment and normalization by adopting metabonomics data analysis software, and evaluating the overall difference and intra-group variation among sample groups by adopting principal component analysis; constructing a grouping discrimination model through discriminant analysis of an orthogonal partial least square method; determining differential metabolites of the two groups of samples by taking variable projection importance (VIP) greater than 1 and statistical significance P less than 0.01 as a primary screening standard and combining a secondary screening standard that the difference multiple log2FC greater than 2 is up-regulated and the difference multiple log2FC less than-2 is down-regulated; s4, performing compound structure and category annotation on the screened differential metabolites through a metabolome database; and performing pathway enrichment analysis by adopting a statistical test method, and determining a core metabolic pathway enriched by the differential metabolites.

The invention discloses a marine organism toxin detection system and a marine organism toxin detection method, and belongs to the technical field of marine organism toxin detection. The system comprises an acquisition unit and a processing unit, an automatic sample changing device in the collecting unit is used for transferring the samples collected by the sampling device to the processing unit; a primary screening device in the processing unit comprises a sampler and a voltage-gated ion channel, the sampler inputs samples conveyed by the automatic sample changing device into the voltage-gated ion channel, and the samples are preliminarily screened through the voltage-gated ion channel; through preliminary screening, different components in a sample enter corresponding electrochemical sensors respectively, specific binding of an antigen and an antibody is realized, an electric signal is generated, and detection of marine biological toxins is realized. According to the invention, the design of secondary detection is applied, the problem of cross reaction is solved, and the method has extremely high sensitivity and selectivity, does not need any harmful reagent, is high in safety, does not generate secondary pollutants, and is environment-friendly.

The invention provides a joint detection test strip for dengue virus and Zika virus antigens and antibodies and a preparation method of the joint detection test strip. According to the combined detection test strip, the combined detection test strip with the dengue virus NS1 antigen and the dengue virus IgG / IgM antibody adopts a multi-site recombinant antigen labeling or multi-site recombinant antibody coating form, so that the sensitivity of a reagent is improved; the problems of poor specificity and release residue of latex microspheres are solved by optimizing the confining liquid; colored latex microspheres are used as a marker, a detection target is more intuitively distinguished according to line colors, clinical result interpretation is facilitated, the accuracy of dengue virus infection and Zika virus infection is more quickly improved, and the dengue virus NS1, the Zika virus NS1 antigen, the dengue virus IgG / IgM antibody and the Zika virus IgG / IgM antibody can be detected at the same time; and the kit is convenient to carry, simple to operate, convenient for on-site instant detection and capable of performing large-scale preliminary screening.

The invention provides sewage treatment equipment based on straw purification, and relates to the technical field of sewage treatment.The sewage treatment equipment comprises a collection primary screening pond, a straw water purification pond and a wetland adjusting pond, the collection primary screening pond comprises a collection primary screening pond, and the straw water purification pond comprises a first straw pond, an activated sludge pond and a second straw pond; the wetland adjusting tank comprises a wetland adjusting tank body, a first connecting pipe is fixedly installed between the collection primary screening tank and the straw water purifying tank, a third connecting pipe is fixedly installed between the straw water purifying tank and the wetland adjusting tank body, and electromagnetic valves are fixedly installed on the first connecting pipe and the third connecting pipe; the straw which is originally used as solid waste is applied to sewage treatment, and resource utilization of the straw is realized by utilizing the characteristic that the straw adsorbs N and P elements in sewage. The treated straw can also be used as fertilizer to be returned to the field, so that the returning time is shortened, the carbon emission and the chemical fertilizer use amount are reduced, the comprehensive utilization rate of the straw is improved, and the comprehensive utilization process of the straw is promoted.

The invention provides a computer-implemented method and system for non-invasive and step-by-step prediction of cancer risks and a storage medium. The method comprises the following steps: (1) determining a cancer signal score based on the level of a biomarker in a blood sample of a subject; (2) comparing the cancer signal score with a preset threshold value, and determining a primary screening positive subject; (3) further performing cancer risk determination and cancer species prediction by adopting an NGS method on the basis of the primarily screened positive subjects; wherein the biomarker is selected from at least one of AFP (Alpha Fetal Protein), CA125, CA15-3, CA19-9, CA72-4, CEA (Carcino Embryonic Acid), CYFRA (Cytochrome Factor Receptor Amplification) 21-1, ProGRP (Proso-Growth Radical Polymerase Chain Reaction), SCCA (Sequence

The present application belongs to the field of aquaculture, and particularly relates to a large-specification red paste Macrobrachium rosenbergii breeding method, which comprises the following steps: S1, seedling marking: seedlings are raised in a greenhouse, a pond, an adjustable feed throwing device and a networked automatic feed checking table are arranged in the greenhouse; the feed feeding amount of the adjustable feed throwing device is adjusted through feedback of the networked automatic feed checking table; water quality is adjusted by using micro-ecological preparation and bottom modification preparation; S2, initial screening of male and female: when the marking time is 45-50 days and the average specification reaches 1800-2000 tails / kg, initial screening of male and female is performed to reduce the density of the Macrobrachium rosenbergii in the greenhouse; S3, outdoor pond raising; S4, red paste fattening: female Macrobrachium rosenbergii are fattened with red paste, nutrition fattening feed is fed on Monday, Wednesday and Friday every week, snail meat, carrots and corn are used to replace part of the feed in turn, the replacement proportion is about 50%-60%, normal feed is fed at other times, the fattening period is 4-6 weeks, and the Macrobrachium rosenbergii are caught in late September to early October.

The invention belongs to the technical field of medical software development, and particularly relates to a plateau newborn inherited metabolic disease screening system, a computer readable storage medium and application of the plateau newborn inherited metabolic disease screening system. According to the screening system, an altitude hierarchical multi-level reference value database based on a local healthy newborn queue is established, and the problem that the false positive rate of a plain area screening model in a plateau area is too high is solved by fitting an altitude metabolism marker reference median and a standard deviation curve. By designing a'biochemical primary screening-risk scoring-targeted sequencing automatic triggering 'three-level joint control data processing flow, targeted sequencing guided by a crowd specific pathogenic mutation library is started only when the biochemical risk is high, unnecessary whole genome sequencing is avoided, and the screening cost is remarkably reduced. The system can continuously iterate a reference curve and a risk threshold value according to definite diagnosis data, and closed-loop dynamic optimization from sample collection to report generation is achieved. The method has plateau adaptability, crowd specificity and cost controllability, and has a good clinical application prospect.

This invention discloses a genetic transformation and gene editing method applicable to multiple sesquiterpene species, belonging to the field of plant genetic transformation and gene editing technology. The method uses the cotyledonary nodes of sterile seedlings of the sesquiterpene genus as explants, and introduces an optimized pScEF1α-Cas9 gene editing transformation vector using Agrobacterium infection. Regenerated plants are obtained through recovery culture, selection culture, and rooting culture. The vector contains four gene expression units: pScEF1α:Cas9, pGmU6:sgRNA, pGmUBI:DsRed2, and pCaMV35S:HygR. In vivo screening is further performed using the DsRed2 fluorescent reporter gene, and the gene-edited plants are identified by molecular detection. This method is applicable to common sesquiterpene, stem-nodled sesquiterpene, and spiny sesquiterpene, and has advantages such as strong species versatility, high transformation efficiency, short cycle, visualized screening, and high positive rate, providing efficient technical support for gene function research and genetic improvement of sesquiterpene species.

The utility model relates to the technical field of medicine raw material crushing and screening devices, and discloses a raw material crushing and screening device for compound sulfamonomethoxine sodium, which comprises a crushing mechanism, a primary screening mechanism arranged at the bottom end of the crushing mechanism and used for primarily screening the compound sulfamonomethoxine sodium raw material, and a secondary screening mechanism arranged at the bottom end of the crushing mechanism, a secondary screening mechanism used for conducting secondary screening on the compound sulfamonomethoxine sodium raw materials is arranged in the box body. The raw material of the compound sulfamonomethoxine sodium is crushed by arranging the crushing mechanism, and the crushed raw material of the compound sulfamonomethoxine sodium is primarily screened by arranging the primary screening mechanism; the secondary screening mechanism is arranged to conduct secondary screening on the raw materials of the compound sulfamonomethoxine sodium subjected to primary screening, and the function of conducting multiple times of screening on the raw materials of the compound sulfamonomethoxine sodium is achieved.

This utility model discloses a sand and gravel removal device for intelligent sorting of food ingredients based on photoelectric sensing. It includes a belt conveyor, a dispersing mechanism, a primary screening mechanism, and a control mainboard. A column is fixedly installed on one side of the belt conveyor, and a connecting rod one is fixedly installed on the outer wall of the middle part of the column. A connecting rod two is fixedly installed on one side of the upper end of the column. The primary screening mechanism is fixedly installed on one side of the column, directly above the belt conveyor. The dispersing mechanism is fixedly installed on one side of the connecting rod two. The primary screening mechanism filters out fine sand and gravel, thus reducing the detection range of the device. The remaining food ingredients and large sand and gravel mixture are sent to the sorting cylinder. Because the opening of the sorting cylinder is small, only a small amount of food ingredients and sand and gravel can pass through at a time, further reducing the detection range of the device. By performing preliminary screening of food ingredients and sand and gravel while controlling the detection inlet, the scope of the device's inspection is reduced, thereby reducing the required precision and cost of the device.

The application provides a gradient temperature difference processing method for preventing and controlling rancidity and deterioration of rice bran decoction pieces, comprising the following steps: sequentially subjecting newly harvested rice bran to low-temperature rapid cooling, medium-temperature roasting, high-temperature roasting and second ultra-low-temperature rapid cooling after removing impurities by primary screening, so as to prevent and control rancidity and deterioration of rice bran decoction pieces. The application utilizes rapid and strong temperature difference change to prevent and control the reaction after grinding contact oxidation, destroys the autoxidation system of rice bran, effectively prevents and controls the generation of oxidized toxic substances and the breeding and pollution of harmful microorganisms, and ensures the safety and effectiveness of medication.