102 results about "Screening analysis" patented technology

The utility model relates to the technical field of cement negative pressure screen analysis instruments, and discloses a full-automatic cement negative pressure screen analysis instrument which comprises a machine body, a fixing plate is fixedly connected to the top of the inner wall of the machine body, a first stepping motor is fixedly connected to the center of the bottom of the fixing plate, and the output end of the first stepping motor is fixedly connected with a lead screw. A lifting rod is in threaded connection with the outer ring of the lead screw, a lifting frame is fixedly connected to the top of the lifting rod, a screening tool is arranged on one side of the inner ring of the lifting frame, a screen is arranged at the bottom of the inner wall of the screening tool, and a linear bearing penetrates through and is fixedly connected to the center of the bottom of the fixing plate. The left side of the bottom of the fixing plate is fixedly connected with a second stepping motor. According to the vibrating screen, the bearing frame is driven by the first stepping motor, the lifting frame, the screen tool, the screen cover, the vibrator and the second stepping motor to rotate, materials are weighed, the first stepping motor is started to work, the lead screw is driven to rotate, and the screen tool is driven to move downwards.

The invention discloses an automatic information acquisition system and method for egg product parameters, and relates to the technical field of livestock and poultry breeding, and the method comprises the steps: obtaining a first screening analysis parameter and a second screening analysis parameter based on the egg product parameters, and obtaining a first screening judgment value and an internal stagger value; carrying out screening and acquisition processing to obtain a judgment value of the internal parameter; analyzing a sampling information acquisition result, and judging whether secondary sampling investigation is carried out or not; the method is used for solving the problems that in an existing egg product parameter automatic information acquisition method, in the aspect of egg product parameter sampling investigation, a method for judging the validity of data obtained through sampling is lacked, and consequently when the egg cardinal number is large and parameters corresponding to eggs obtained through sampling investigation cannot effectively reflect the overall egg product parameters, the whole egg product parameters cannot be effectively reflected. The problems that information collection is one-sided and data is not accurate enough are solved.

The invention discloses a combined drive control method and system for a functional concrete processing cycle, and relates to the technical field of intelligent control, and the method comprises the steps: carrying out the multi-dimensional feature collection of raw materials of concrete, obtaining the feature information of the raw materials, and carrying out the screening analysis of a combined drive control database through taking the feature information as a constraint, thereby obtaining a control reference database; dividing a control reference database; analyzing functional requirements of the concrete, and determining a functional evaluation plan; performing optimization traversal on the reference library without the additives to obtain a first optimal control strategy, and performing optimization traversal on the reference library with the additives to obtain a second optimal control strategy; and comparing the first optimal control strategy with the second optimal control strategy to obtain a target control strategy, and performing combined drive control on the concrete. The technical problem that the processing control strategy cannot be intelligently matched according to the characteristics of the concrete raw materials in the prior art is solved, and the technical effects of accurate matching and functional control optimization of the concrete processing strategy are achieved.

The invention discloses a dynamic security analysis and optimization method based on a network communication system, and relates to the technical field of dynamic security analysis, and the method comprises the steps: S10, obtaining log data of routers corresponding to all marked addresses; s20, predicting the real-time security index of the router corresponding to each marked address; s30, generating a network topology structure diagram of the target data packet; s40, obtaining a security index change coefficient of a next-level network topology node; s50, determining a screening condition of each network topology node in the network topology structure diagram of the target data packet, and obtaining a screening analysis set of each network topology node; s60, screening out a target transmission primary link and a target transmission secondary link of the target data packet; and S70, dynamically adjusting the target transmission primary link based on the target transmission secondary link. According to the invention, the dynamic selection of the router is realized based on the screening analysis set, and the transmission quality and transmission efficiency of the target data packet in the network can be ensured.

The utility model discloses a kind of mineral screen analysis devices of automatically judging screening solution turbidity, including screening container, wet screening mechanism and industrial computer, the wet screening mechanism includes electric telescopic support, vibrating support and screen, the electric telescopic support is connected with vibrating support, vibrating motor is installed on the vibrating support, screen is equipped below the vibrating support;The screening container is transparent container, screening container support is equipped outside the screening container, camera is installed outside the screening container, reference plate is installed in the side corresponding to camera in the screening container.The utility model replaces artificial ore grinding screening, equipment state adjustment and result record by automation control, reduces artificial intervention link, avoids the error caused by operation fatigue or experience difference;Systematization controls vibration frequency, screening parameters such as duration, eliminates the result fluctuation caused by random nature in traditional wet screening due to artificial adjustment, ensures that data comparability under different batches, different operators.

The invention discloses a resume preliminary screening method and system fusing AI semantic analysis, and relates to the technical field related to data processing, and the method comprises the steps: receiving a resume screening item of a target post, and dividing the resume screening item into a semantic clear item and a fuzzy skill item; constructing a deblurring adaptation template library; resume reconstruction is carried out according to a preset resume template; performing primary screening on the reconstructed resume set; and carrying out secondary screening on the first resume set, carrying out context-aware core coefficient analysis on the second resume set, carrying out third screening, analyzing the adaptation degree of each resume in the third resume set and a target post, sorting the resumes, and recommending the resumes to a target HR terminal. The technical problems of low resume screening precision and efficiency caused by insufficient evaluation of fuzzy skill items in resumes, single screening dimension and lack of context correlation analysis in the prior art are solved, and the technical effects of realizing automatic, multi-level and high-precision resume preliminary screening and remarkably improving the resume screening efficiency and post adaptation accuracy are achieved.

The invention discloses a precision marketing label screening method and system based on high-dimensional interactive screening. The method comprises the following steps: S1, a user determines a core index variable y for measuring a service effect; s2, a user determines a to-be-screened label range and preliminarily selects a proper customer group to obtain a sample set x; s3, constructing a hierarchical screening model; and S4, the user selects a screening hierarchical mode: weak hierarchical structure screening and strong hierarchical structure screening. The system comprises an interactive display module, a data storage module, a screening analysis module and a feedback optimization module. According to the method, reference can be provided for bank marketing personnel when the marketing objects are determined, the situation that labels with information values are omitted when the labels are selected from numerous labels is avoided, and hidden interaction information among the labels can be explored.

The invention discloses a data security risk monitoring method and device, electronic equipment and a storage medium, and the method comprises the steps: executing an RPA engine, and obtaining a suspicious data set of a target network source according to a preset task arrangement process; sequentially screening and analyzing the suspicious data set by adopting a constructed early warning rule engine and a security risk identification model, and identifying risk data; and processing the risk data. By using the method disclosed by the invention, the whole-process intelligent closed loop from data acquisition to risk disposal can be realized, the labor cost of data acquisition is saved, and the data monitoring efficiency and the risk identification accuracy are improved.

The embodiment of the present application provides a screening method and a screening system, the screening method comprises the following steps: obtaining historical flow data of a plurality of target objects from a storage system, and extracting historical values of target variables of the plurality of target objects from the historical flow data; generating a predicted selection probability corresponding to the target objects according to the historical values of the target variables; inputting the predicted selection probability and the historical values of the target variables into an established expectation value model, performing screening analysis on the target objects, and generating expected values of the target variables of the plurality of target objects; and screening the target objects whose expected values of the target variables are greater than a preset threshold value, and storing the corresponding identification information of the target objects into a database. According to the predicted selection probability of the target objects, the expected values of the target variables are obtained by using the expectation value model, and the target objects are screened according to the expected values of the target variables, so that the required target objects can be quickly and accurately screened, and the screening quality is better.

The application provides an analysis method, device and equipment based on single-cell transcriptome sequencing data, which comprises the following steps: performing quality control, downstream analysis and visual display on single-cell transcriptome sequencing expression quantitative data, performing cell filtering by using Grubbs test method to obtain effective single-cell transcriptome sequencing quantitative data, performing initialization clustering analysis on the data to obtain single-cell subgroup classification results; performing screening on the single-cell subgroup classification results to obtain target single-cell subgroups, and performing re-clustering analysis to obtain single-cell sub-subgroup classification results; performing significant difference gene screening analysis on the single-cell transcriptome sequencing quantitative data between single-cell subgroups; and performing regression analysis based on characteristic genes of cell cycles to predict cell division periods corresponding to different cell types. The application effectively solves the technical complex problems of existing single-cell transcriptome sequencing quantitative data analysis, makes data analysis more simple and reliable, and reduces the difficulty of data analysis.

This invention relates to the field of molecular docking technology, specifically to an automated molecular docking and screening analysis method, comprising the following steps: S1: protein structure alignment; S2: receptor protein file processing; S3: batch molecular docking; S4: calculation of substrate-catalytic site distances; S5: combined screening of binding energies and spatial relationships; and S6: result aggregation and visualization. This invention can efficiently and accurately complete large-scale molecular docking tasks, providing powerful technical support for fields such as drug design and enzymology research.

The application discloses a kind of data service open ability intelligent management methods, belong to data management technical field;Through the monitoring record and screening analysis and effective utilization analysis of the consultation data of first user and the feedback data of second user, and according to the analysis result, the content of the corresponding position in source data is actively supplemented and updated, the exchange data utilization ability and the independent updating perfecting ability of shared open data are improved, so that subsequent users can more efficiently and conveniently understand the difficult or obscure explanation content in source data;Through the expansion statistics and analysis of the source data of the independent content update of different data fields, the requirements of subsequent different data field source data uploading can be dynamically managed;The application is used to solve the technical problems that the exchange data between users cannot be analyzed and utilized in the existing scheme, and the content of open shared source data cannot be dynamically updated and controlled.

The present application relates to a kind of high-efficiency screening methods for risk substances in animal-derived food, comprising the following steps: 1) after the pretreatment of the animal-derived food sample to be tested, non-target detection and analysis are carried out using chromatography-mass spectrometry platform, and original chromatography-mass spectrometry data are obtained;2) by global network optimization, filter food endogenous components, while using quartile range method to remove various background interference, extract suspicious risk substances;Suspected risk substances that meet the conditions of global network optimization and quartile range method filtering at the same time are retained;3) by database search and standard comparison, the structure of suspicious risk substances is annotated and qualified.The present application effectively removes the interference of food endogenous components on risk substance screening, improves the efficiency of non-target screening.On the other hand, it has significant advantages in the screening analysis and efficient locking of unknown risk substances in animal-derived food.The present application has the advantages of high screening accuracy and low false positive rate.

The application provides an artificial intelligence-based noise processing method and system, and relates to the technical field of noise processing. The method comprises the following steps: obtaining historical voice noise processing data, performing noise feature extraction based on an environmental background to form background noise feature data; performing de-noising processing on the voice information to be processed according to the background noise feature data to form initial de-noised voice information; and performing noise screening analysis based on smoothing and semantics on the initial de-noised voice information to extract target voice information. The method can more effectively identify and screen most of the noise in the recorded voice by using big data to establish the feature data of the environmental background noise, so that clear target voice information can be obtained.

The invention discloses a thermal power generating unit ultralow emission adaptability method and system under a low load operation condition, and relates to the technical field of denitration control, and the method comprises the steps: based on a first denitration target, optimizing a CFB boiler of a target thermal power generating unit from multiple dimensions, determining a first denitration optimization scheme, carrying out flue gas flow multi-working-condition simulation in the CFB boiler, and determining a second denitration optimization scheme; polymerization screening flue gas data is determined through working condition polymerization screening analysis, structural optimization of the SNCR denitration system is carried out in combination with a second denitration target, a target structure optimization scheme is determined, and ultralow emission adaptive denitration control is carried out in combination with the first denitration optimization scheme. The technical problem that NOx emission cannot meet the ultralow emission requirement due to the fact that the denitration effect is poor under the low-load operation condition of a thermal power generating unit in the prior art is solved, and the technical effect of NOx ultralow emission under the low-load working condition is achieved by optimizing the boiler combustion process and the SNCR denitration system structure.

This invention relates to a method and system for disaster overlay analysis in nuclear power plants, comprising the following steps: acquiring standard specifications and experience feedback data of the nuclear power plant; conducting preliminary screening analysis based on the standard specifications, experience feedback data, and screening criteria to obtain a preliminary screening list of disaster overlays; and conducting secondary analysis based on the preliminary screening list of disaster overlays and in conjunction with a list of overlay disaster analysis scopes to obtain a disaster overlay list. This invention, through preliminary screening analysis, obtains a preliminary screening list of disaster overlays, achieving a comprehensive and effective review of possible disaster overlay types and avoiding omissions; simultaneously, through secondary analysis, it achieves a comprehensive and effective review and determination of the disaster overlay types that need to be considered, further ensuring the comprehensiveness and effectiveness of the disaster overlay analysis and avoiding omissions.

The invention discloses a digital home AI central control system, and belongs to the technical field of big data analysis. The method and the device are used for solving the technical problems of poor active understanding effect and poor autonomous selection effect in different aspects before different users install and use a digital home AI central control system in the existing scheme. Performing processing and matching analysis on the digital home central control demand of the user to obtain first sample central control equipment matching data or second sample central control equipment matching data corresponding to different demand equipment of the user; performing collaborative reliable state screening analysis on a plurality of first sample central control equipment matching data or second sample central control equipment matching data obtained by previous user processing, and prompting whether demand matching of a sample central control equipment set is effective or not according to an equipment matching sequence set obtained by screening analysis; and all the screened and analyzed effective matched sample central control devices are dynamically pushed to the users, so that diversified active pushing of digital home central control requirements of different users is realized.

The application discloses a comprehensive detection method and system for neonicotinoid compounds in an environment, and is characterized in that: the coverage of mass spectrum information is improved based on coupling of a multi-module data-dependent acquisition mode and a multi-window data-independent acquisition mode; a suspected screening analysis database is established based on a core structure of neonicotinoid compounds; compounds matched with the suspected screening compounds are detected; and the neonicotinoid compounds in the environment sample to be detected are subjected to non-target analysis based on coupling of a feature molecule network technology in the data-dependent acquisition mode and a feature fragment ion extraction technology in the data-independent acquisition mode, so as to back-propagate candidate compounds different from the target compounds and the suspected screening compounds; and the comprehensive detection of potential neonicotinoid compounds in the environment sample to be detected is realized through target analysis, suspected screening analysis and non-target analysis.

The utility model discloses an automatic beating device of a negative pressure sieve analyzer, which comprises a beating device and the negative pressure sieve analyzer, a sieve cover is arranged on the negative pressure sieve analyzer, and the beating device comprises a transmission part and a beating hammer; the transmission component comprises a small chain wheel, a chain, a large chain wheel and a center shaft, the small chain wheel is connected with an output shaft of the motor and connected with the large chain wheel through the chain, the large chain wheel is coaxially connected with the center shaft, a circular ring is fixedly connected to the center shaft, the center shaft is tangent to the circular ring, and the circular ring and the connecting rod are kept on the same horizontal plane. The connecting rod is connected with the supporting rod through a pin shaft. The device has the beneficial effects that the beating device can automatically conduct beating operation according to the set frequency and strength, and it is ensured that fine powder fully passes through the screen; after screening analysis is completed, the system automatically stops beating, the whole experiment process only needs no manual intervention, the labor intensity is greatly reduced, occupational health hazards are reduced, and meanwhile the working efficiency and the experiment result accuracy are improved.

The application discloses a method and system for rapid screening and analysis of homologous genes, and relates to the technical field of biological information and molecular breeding. The method comprises the following steps: obtaining multi-source input files; the multi-source input files comprise a reference genome file, a sample genome file, a reference annotation file and a target gene list file; pre-processing the multi-source input files to obtain pre-processed multi-source input files; the pre-processing comprises standardization processing, integrity detection, format consistency detection, repeated record detection and sequence file information improvement; performing sequence alignment, variation site extraction and variation marking on the pre-processed multi-source input files to obtain gene screening analysis results; and performing visual processing and data management on the gene screening analysis results. The application can reduce manual intervention, improve the efficiency and consistency of data analysis, and realize rapid standardized processing and intuitive result display of genomic variation information.

The present application relates to the technical field of plant salt tolerance screening, and discloses a multi-parameter screening analysis method for salt-tolerant aquatic plants, which comprises the following steps: obtaining initial baseline data; injecting sodium chloride solution and calculating root system maintenance index and its first-order time derivative, locking the environmental salinity when the derivative reaches a negative threshold value and recording the root system response anchor point; calculating canopy transpiration index and its first-order time derivative under the condition of salinity locking, recording the canopy response anchor point when the derivative reaches a positive threshold value; calculating the dynamic time delay between the two anchor points and the cross-correlation coefficient of the two indexes; extracting the root system steady-state characteristic value, constructing a joint feature vector with the dynamic time delay and the cross-correlation coefficient, and outputting the salt-tolerance mechanism classification. The present application dynamically anchors the cross-organ response time sequence through the derivative of physiological parameters, converts local physiological data into global space-time coordination features, and realizes the fine and objective classification of different plant salt-tolerance mechanisms.

The invention discloses an intelligent recommendation method and system for family doctors, and relates to the technical field of intelligent recommendation, and the method comprises the following steps: first analysis, execution of a first operation, screening and analysis of family doctor teams to obtain first recommendation information, optimization of the first recommendation information, and construction of a first mapping relation. Through first analysis and team screening, the patient is accurately matched with the most suitable family doctor team, the mismatching risk caused by blind selection or random allocation is reduced, the satisfaction degree and compliance of contract signing service are improved, a recommendation algorithm is reversely optimized through the actual selection result of the user, closed-loop learning is formed, the recommendation result continuously evolves along with user feedback, and the user experience is improved. Long-term watching is more and more accurate, the problem of one-time recommendation rigidity is avoided, and manual intervention is reduced through automatic screening and mapping.

The invention discloses an environmental pollutant remote sensing monitoring system based on a multi-source remote sensing satellite, and the system comprises an air pollution data collection unit which is used for collecting air pollution related data through multiple ways; the air pollution data preprocessing unit is used for performing format conversion, radiation correction and geometric correction on the acquired air pollution related data; the air pollution data fusion unit is used for fusing air pollution related data acquired in multiple ways by adopting principal component analysis and a wavelet transform method; the air pollution data analysis unit is used for constructing a pollution component inversion model and analyzing the pollutant concentration by performing feature extraction and screening on the data; and the analysis result evaluation unit is used for evaluating the data acquisition accuracy and the analysis process effectiveness. The problems that an existing environmental pollutant monitoring system lacks customized design and cannot accurately capture environmental parameter changes are solved.

The present application relates to the technical field of data analysis, and particularly relates to a veterinary drug residue non-target screening analysis method and system. Veterinary drug residue sample analysis veterinary drug matrix state release behavior characteristic data; the veterinary drug matrix state release behavior characteristic data is monitored to the reliable veterinary drug candidate non-target signal, and the reliable veterinary drug candidate non-target signal data is generated; according to the reliable veterinary drug candidate non-target signal data, candidate non-target signal release stage characteristic analysis is carried out, and candidate non-target signal release stage characteristic data is generated; based on the reliable veterinary drug candidate non-target signal data, candidate non-target compound structure analysis is carried out, and candidate non-target compound structure data is generated; based on candidate non-target signal release stage characteristic data and candidate non-target compound structure data, non-target intelligent screening processing of veterinary drug residue is carried out, and non-target intelligent screening data of veterinary drug residue is generated. The present application realizes non-target comprehensive intelligent screening of veterinary drug residue.

The invention relates to the technical field of land resource management, in particular to a digital intelligence scene enabling canal heritage land utilization decision-making method and system. The method comprises the following steps: acquiring environment information, policy information, culture information and economic information of a target cultural heritage area, and constructing multi-source cultural heritage information; policy semantic analysis and spatialization are carried out on the policy information to obtain policy semantic information and spatial information, and a policy rule engine is constructed based on the policy semantic information and the spatial information; analyzing the multi-source cultural heritage information to obtain spatial value distribution data of the target cultural heritage region; generating a land utilization optimization decision set based on the spatialization value distribution data and a policy rule engine; and carrying out screening analysis on the land utilization optimization decision set, and outputting a land utilization optimization report. According to the method, the balance of cultural heritage protection intensity, ecological connectivity improvement and economic activity excitation is guaranteed, and the common value game problem in a linear heritage region is effectively solved.

The application discloses a kind of based on deep learning's tuberculin test intelligent screening analysis method and device, wherein, method includes: the image of patient's skin test is collected, and pre-processing is carried out, obtains target image, identifies the lesion area of target visible light image and marks, obtains target identification image carrying with image coding, constructs specificity identification model, identifies whether target image includes specific reaction lesion, if contains, then determine target identification image as strong positive, and carries out strong positive marking;If not contain, then according to target infrared image auxiliary hard knot identification model is identified to target identification image, judge whether to contain hard knot and / or red halo, and obtain target size;According to the relationship between target size and preset standard size, judge whether target identification image exists tuberculosis infection and infection degree.The application realizes the contactless detection of tuberculosis infection, improves the detection efficiency and detection accuracy, and helps the prevention and treatment of tuberculosis.

The invention discloses an intelligent medical remote diagnosis system based on multi-source data fusion, and relates to the field of intelligent medical treatment, and the system comprises a sensing module which is used for configuring an operation cycle, and sensing the physical state information of a user in real time based on the operation cycle; the screening module is used for traversing the user body state information sensed by the sensing module, and screening effective information from all the user body state information; according to the system, various physical state information related to sleep is collected in real time, including electroencephalogram, electrocardiogram, oxygen concentration and the like, so that the sleep condition of a patient is comprehensively monitored, the system adopts specific screening and analysis methods in data processing, key information can be accurately extracted, sleep risks can be deeply analyzed, and the sleep quality of the patient is improved. By means of recording and comparison of historical analysis results, the system can timely diagnose whether the current sleep of the patient has risks or not and can also judge whether the patient has risk tendency or not.

The utility model provides a coke particle size screen analysis machine, and belongs to the technical field of coke particle size detection. The coke particle size screen analysis machine comprises a box body, bolts are in threaded connection with the two sides of the outer wall of the box body respectively, the box body is connected with a screen analysis assembly through the bolts, a discharging opening is formed in the bottom end of the box body, a collecting mechanism is arranged in the discharging opening and located under the screen analysis assembly, and the collecting mechanism is connected with the screen analysis assembly through the bolts. The collecting mechanism comprises a supporting frame, a baffle, a sealing rubber strip, a handle and sliding wheels, the baffle is installed on one side of the supporting frame, the sealing rubber strip is installed on the outer wall of the baffle in an embedded mode, the outer wall of the sealing rubber strip is attached to the inner wall of the discharging opening, the sliding wheels are installed at the four corners of the bottom end of the supporting frame respectively, and a dust collecting mechanism is arranged on one side of the box body. The dust collecting mechanism comprises a shell, a shell cover, a dust filtering net, negative pressure fans, a dust collecting pipe, a plurality of dust suction holes and holes, and the negative pressure fans are installed on the two sides of the interior of the shell respectively.

The invention provides an additive manufacturing part screening analysis method and system for orthopedic infection, and relates to the technical field of additive manufacturing defect screening. The method comprises the following steps: collecting historical screening data of an object manufacturing part, and carrying out screening clustering analysis aiming at an object type to form object type screening clustering data; screening the clustering data according to the object types, and extracting screening indexes for the object types to form object type screening index data; and obtaining manufacturing result data of the target manufactured part, and performing screening analysis in combination with the object type screening index data to form target object screening result data. According to the method, reasonable quality management is conducted on the supplied manufactured parts, it is effectively guaranteed that the manufactured parts provided for a patient have good quality, and the situation that orthopedic infection occurs within a short time after the manufactured parts are implanted into the human body is avoided.

The utility model discloses ceramic granulation powder integrated deironing and screening analysis equipment, which relates to the technical field of ceramic granulation powder screening analysis and comprises a working box body, a plurality of rightward inclined screen assemblies are arranged in the working box body, and a vibration assembly is arranged on the right side in the working box body. The integrated iron removal and screen analysis equipment for the ceramic granulated powder is scientific and reasonable in structure and high in practicability, iron removal and screen analysis are effectively integrated, the process time consumption during transferring is reduced, the production efficiency is improved, the multiple electromagnetic rods are arranged, the granulated powder is subjected to multi-stage iron removal through the electromagnetic rods, the granulated powder obtained after screen analysis is gradually reduced, and the quality of the granulated powder is improved. According to the granulation powder iron removal device, mixing of granulation powder and iron is reduced, then the iron removal effect of the granulation powder is improved, magnetic attraction of an electromagnetic rod is stopped, iron is scraped by a scraping strip, magnetic attraction between the iron and the electromagnetic rod is lost, the iron falls into a communicating groove under the influence of gravity and slides into a side box, iron collection is convenient, and the working efficiency of workers is improved.