509 results about "Primary screening" patented technology

The embodiment of the invention provides a rice blast disease grade intelligent evaluation and disease resistance preliminary screening method, system and equipment, and the method comprises the steps: S1, collecting image data of wild rice leaves infected with rice blast, carrying out the instance segmentation of the image data through an improved YOLOv8-Seg segmentation model, obtaining a segmentation result, and carrying out the segmentation of the image data through an improved YOLOv8-Seg segmentation model; the improvement measures comprise a GhostHierachicalNet backbone network, a CAHSFPN neck network and an LSDES Head segmentation head, and the LSDES Head segmentation head is connected with the CAHSFPN neck network and the LSDES Head segmentation head; s2, according to the segmentation result, counting the number and proportion of pixels of diseased leaves and disease areas, and obtaining a disease grade evaluation result in combination with disease resistance identification technical regulations; and S3, screening wild rice materials with strong disease resistance based on the disease grade evaluation results which are repeated for multiple times. The method can effectively improve the accuracy and efficiency of crop disease evaluation, and provides support for large-scale screening of disease resistance of wild rice, thereby promoting the development of rice blast-resistant breeding work.

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 tea form classification and grading method based on a deep convolutional network, and the method comprises the following steps: S1, collecting image data of tea, and carrying out the preprocessing of the image data; s2, segmenting the preprocessed image data into local areas by using an image segmentation technology; s3, inputting the segmented image data into a deep convolutional neural network model to form a bottom layer sharing feature; s4, performing primary screening on the bottom-layer shared features through a preliminary feature selection module; s5, introducing a feature selection module, and carrying out the secondary screening of the bottom-layer shared features after the primary screening based on a sparse adaptive gating mechanism technology; s6, fusing the underlying shared features after secondary screening; s7, adopting a multi-task learning framework which comprises a classification task output layer and a grading task output layer; and S8, outputting a tea classification result and a quality grading result. Through the deep convolutional network and multi-task learning, tea form classification and grading are realized, and the method has the advantages of high precision and the like.

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 discloses a dry and wet dual-purpose screening device for soil, and belongs to the field of soil screening. A dry and wet dual-purpose soil screening device comprises a supporting frame and further comprises a rotary pushing coarse screening assembly fixed to one side of the supporting frame and a rotary pushing coarse screening assembly fixed to the other side of the supporting frame. Wherein the rotary pushing coarse screening assembly comprises a machine shell, a conveying auger is rotationally installed in the machine shell fixed to a supporting frame, the conveying auger comprises a large auger body and a small auger body, and the small auger body is arranged in a large auger body; the fine screening mechanism is fixed to the other side of the supporting frame, and the rotary pushing coarse screening assembly and the fine screening mechanism which are arranged on the supporting frame conduct integrated soil screening action; through cooperative work of the rotary pushing coarse screening assembly and the fine screening mechanism, screening of particles with different particle sizes is achieved, a conveying auger in the machine shell conducts primary screening, the fine screening mechanism conducts secondary screening through a screen, small stones are separated from qualified soil, the screening precision is improved, the output rate of available soil is increased, and the screening process is optimized; and the problem of screen mesh blockage 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 present invention provides an antibody composition for detecting multiple myeloma based on full-spectrum flow cytometry and its application, belonging to the technical field of multiple myeloma detection. The antibody composition includes CD3 antibody, CD20 antibody, HLA-DR antibody, CD8 antibody, CD11b antibody, CD10 antibody, CD71 antibody, CD28 antibody, CD14 antibody, CD13 antibody, Igκ antibody, CD15 antibody, Igλ antibody, CD117 antibody, CD56 antibody, CD45 antibody, CD19 antibody, CD34 antibody, CD138 antibody, CD4 antibody, CD38 antibody, CD22 antibody and CD27 antibody. The kit containing the antibody composition can be applied to a full-spectrum flow cytometer to accurately perform preliminary screening on patients with multiple myeloma.

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 discloses a non-tissue-culture-dependent tomato genetic transformation method, and belongs to the technical field of genetic engineering. According to the method, seedlings germinated for about one week of tomatoes are utilized, after true leaves are removed, agrobacterium carrying target gene plasmids are used for infecting wounds, then plant hormones are sprayed for induction to form calluses, then the calluses are differentiated to form a large number of seedlings, and the seedlings are subjected to seedling culture. The method comprises the following steps: carrying out preliminary screening on seedlings by using an antibiotic solution corresponding to a resistance gene on a plasmid carried by agrobacterium, and finally carrying out PCR amplification target gene identification on tomato plants subjected to preliminary screening so as to determine finally transformed positive plants. According to the method, the callus tissue is directly induced to differentiate and regenerate on the living plant, so that the step of tissue in-vitro culture required by the traditional tomato genetic transformation is simplified, the transgenic plant can be simply, conveniently and efficiently obtained, and powerful technical support is provided for tomato molecular breeding, target gene function analysis and excellent germplasm innovation.

A system and method for tracing the source of microplastic aging process and intelligently identifying factors, the system: the sample conveying and primary screening device includes a sample receiving tank, a vibrating screen and a conveyor belt; the particle dispersion and electrostatic dust removal device includes a dispersing stirrer, a drying pipeline, a dry air ejector and an electrostatic eliminator; the microplastic enrichment device includes a cyclone separator and a collection tank; the microplastic separation unit includes an electrostatic separation channel, a high-voltage electrostatic charging device and a microplastic collection device; the microplastic identification and aging detection unit includes a high-resolution scanning electron microscope, a Fourier transform infrared spectrometer and an aging characteristic multimodal analysis module. Methods: rough sample selection; drying, dust removal and anti-static treatment; secondary selection; multi-level sorting; obtaining the surface morphology image and infrared spectrum of the sample; constructing a prediction model for tracing the source of microplastic aging process and identifying factors; and real-time analysis and prediction of microplastics. The system and method can realize the identification and analysis of microplastics.

The utility model discloses a soybean screening device, which relates to the technical field of agricultural equipment and comprises a screening box body, and a feed hopper is arranged at the top of the screening box body. When the soybean screening device is used, firstly, soybeans are put in through the feeding hopper, dust is prevented from escaping from the top under the action of the dustproof assembly, when the soybeans fall down, the two rotating shafts and the two cleaning brushes are driven to synchronously and reversely rotate under the action of the linkage assembly, the surfaces of the soybeans are cleaned, air in the screening box body is pumped out through the air pump, and then the soybeans are screened. Meanwhile, dust and foreign matter are filtered through a filtering assembly, air pollution is prevented, when the soybeans fall to a first screening plate, due to the fact that the first screening plate is obliquely arranged, the soybeans can slowly roll on the first screening plate, meanwhile, the first screening plate and a second screening plate are driven by an extrusion reset assembly to do horizontal reciprocating motion, and after primary screening is finished, the soybeans are separated from the first screening plate. Soybeans fall onto the second screening plate to be subjected to secondary screening, and then the discharging function is achieved through the discharging holes.

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 shale oil reservoir screening technology suitable for carbon dioxide oil displacement and burying, and relates to the technical field of oil reservoir screening, the method comprises the following steps: determining the suitability degree of each to-be-screened oil reservoir based on each evaluation index of each to-be-screened oil reservoir; primary screening is conducted on all the to-be-screened oil reservoirs through the suitability degree, and the primarily-screened oil reservoirs are obtained; on the basis of the first single well yield calculation parameters of the oil reservoirs obtained after primary screening, the single well yield of the oil reservoirs obtained after primary screening in the CO2 oil displacement effective peak period is calculated; based on the second single well yield calculation parameters of the oil reservoirs obtained after primary screening, the economic limit CO2 flooding single well yield of the oil reservoirs obtained after primary screening is calculated; and determining the primarily screened oil reservoir of which the single well yield is greater than the economic limit CO2 flooding single well yield in the CO2 flooding effective peak period as a target oil reservoir. According to the method, screening of deep shale oil reservoirs suitable for CO2 flooding is achieved.

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.

The utility model discloses a multistage powder concentrator which comprises a first-stage screening part, second-stage screening parts, a third-stage screening part and a discharging hopper, the bottom of the first-stage screening part is installed on the third-stage screening part, the second-stage screening parts are installed on the periphery of the third-stage screening part, the first-stage screening part is located in an annular ring formed by all the second-stage screening parts, and the discharging hopper is located in the annular ring. The tops of all the second-stage screening parts are connected through an air duct, an air outlet pipe is arranged on the lower portion of the first-stage screening part and connected with an inlet of the air duct through a first induced draft fan, the discharging hopper is connected to the bottom face of the third-stage screening part, and the bottom of the discharging hopper is connected with a second induced draft fan through a pipeline. And through multi-stage screening, the material screening efficiency and effect are greatly improved.

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 multistage filtering device for coal mine wastewater treatment, and belongs to the technical field of wastewater treatment. Comprising a primary screening mechanism, an adjusting mechanism and a stirring mechanism which are sequentially arranged from top to bottom. Wastewater is filtered through the primary screening mechanism, and the filtered wastewater flows into the adjusting mechanism, enters the stirring mechanism through the adjusting mechanism and is mixed with a flocculating agent in the stirring mechanism; through cooperation of the adjusting mechanism and the stirring mechanism, self-adaptive adjustment can be performed according to the actual turbidity degree of the coal mine wastewater, so that the treatment process is optimized, favorable conditions are better created for subsequent flocculation treatment, and the overall wastewater treatment efficiency and effect are improved; meanwhile, different stirring speeds can be selected according to the turbid degree of the coal mine wastewater, and efficient and high-adaptability stirring support is provided for the wastewater purification process.

The invention provides a preserving fluid for preserving host and gram-negative bacterium nucleic acid in an excrement sample, and particularly discloses an excrement preserving fluid capable of effectively splitting and releasing host intestinal cast-off cell DNA and gram-negative bacterium DNA and splitting gram-positive bacterium DNA less. Therefore, the Gram-negative pathogenic bacteria can be used for screening various Gram-negative pathogenic bacteria and can also be used for primary screening and general survey of diseases such as colorectal cancer of a host, and interference of nucleic acid of Gram-positive bacteria on detection is remarkably reduced.