140 results about "Screening analysis" patented technology

The invention discloses a line planning method and system, and relates to the technical field of electric power line inspection. According to the line planning method, a plurality of feasible inspection paths are generated by obtaining a list of tasks to be inspected and three-dimensional coordinates of an electric tower and an inspection part of the electric tower, combining regional environment data, constructing a semantic knowledge graph and a spatial topological structure chart, determining an optimal path through evaluation, screening and analysis, and transmitting the optimal path to an unmanned aerial vehicle to execute an inspection task. According to the method, the flight state is monitored in real time, the abnormal condition is found in time, and the residual path is dynamically replanned in the inspection process, so that the smooth execution of the inspection task is ensured. The flight state and the environment interference of the unmanned aerial vehicle are monitored in real time, and the dynamic path is replanned according to the actual condition; according to the method, the flexibility and emergency response capacity of the inspection task are remarkably improved, the efficiency and safety of the inspection task are effectively improved by dynamically adjusting the path, and the adaptive capacity of the unmanned aerial vehicle in a complex environment is enhanced.

The invention discloses a multi-stage equipment energy efficiency optimization control system and method for an efficient machine room, and relates to the technical field of equipment optimizing.The method comprises the steps that environment parameter data and design parameter data of a refrigerating machine room are obtained, an environment correction factor is analyzed, and the cold load rate is dynamically corrected based on the environment correction factor; on the basis of preset delay time, phase-space reconstruction is carried out on the historical corrected cold load rate sequence, the final embedded dimension is analyzed, and a hybrid prediction model is constructed on the basis of the final embedded dimension; matching optimal operation parameters based on physical resonance characteristics of equipment in combination with comprehensive energy efficiency indexes of the machine room; and performing data structure compression on the optimal operation parameters and the comprehensive energy efficiency indexes of the corresponding machine room, performing screening analysis on data points, and updating a parameter library. And invalid data interference is reduced, so that the system can realize self-adaptive optimization in long-term operation, and the data storage and calculation efficiency is improved.

The invention discloses an intelligent interaction method and system based on artificial intelligence, and the method comprises the steps: building an interaction database, collecting the comprehensive data of a sensor in real time, inputting the data into the interaction database, inputting the comprehensive information of a user room into the interaction database, and collecting the historical operation data of a user. Analyzing the historical operation data to obtain an adjustment threshold value corresponding to an operation habit of the user, collecting behaviors of the user after interaction with the smart home, analyzing the behaviors to obtain behavior habit characteristics of the user, analyzing voice characteristics of the user, matching a fuzzy instruction for the voice characteristics to obtain a fuzzy instruction set, and sending the fuzzy instruction set to the smart home; the fuzzy instruction set is screened according to the adjustment threshold value, the influence of the scene feature where the user is located and the behavior habit feature on the fuzzy instructions is analyzed, the priorities of the fuzzy instructions are obtained, and the fuzzy instruction with the highest priority is selected as an interaction instruction, and the method and device have the advantages of improving accuracy and user experience.

The invention discloses a tunnel construction water inflow calculation method based on machine learning, and belongs to the field of high-precision prediction of tunnel water inflow disasters. Precise prediction of the tunnel water inflow is one of the focus problems concerned by underground engineering and is directly related to the engineering construction progress, the cavern stability and the safety of constructors. Therefore, a method for calculating the water inflow of the tunnel by constructing the prediction model by integrating multiple machine learning algorithms is provided. The method comprises the steps that a geological condition database is established for a tunnel section with the water inflow needing to be calculated according to drilling data, field investigation data and long-term observation data in the early stage, then screening analysis is conducted on the data in the database, influence factors are selected and preprocessed, iteration updating of a prediction model is conducted through the selected influence factors, and the prediction result is obtained. Finally, a high-precision tunnel water inflow prediction result can be obtained through calculation by inputting on-site investigation data of a tunnel construction area.

The invention discloses an intelligent logistics management method and system, and the method comprises the steps: analyzing the influence of environment data on the temperature change in a refrigerator car, analyzing the influence of the temperature change in the refrigerator car on the form of goods, obtaining the vulnerability degree grade of the goods, analyzing the path characteristics between the refrigerator car and a transfer station, and obtaining the vulnerability degree grade of the goods. Analyzing the predicted transportation time of the transportation paths based on the path characteristics, screening the transportation paths based on a set time threshold value, analyzing the jolting characteristics of the transportation paths and the influence of the cargo vulnerability degree on the score of the transportation paths to obtain a comprehensive score of the transportation paths, and selecting a target transportation path according to the comprehensive score, the method comprises the steps that the running time of a refrigerator car in a target transportation path is analyzed in real time, proofreading is conducted on the basis of the running time and predicted time, the influence of the bumping degree of the transportation path and the goods vulnerability degree on cost loss is analyzed to obtain loss cost, and the transportation path is adjusted according to the loss cost. The method has the characteristics of reducing cost and improving accuracy.

The invention discloses a dynamic special effect processing method and device, a storage medium and related equipment, which are applied to the technical field of dynamic special effect rendering, and are used for performing plot analysis on an obtained to-be-processed video to obtain a video plot background, an emotional tone in the plot and a key plot node, and performing dynamic special effect processing according to the video plot background and the emotional tone in the plot. The method comprises the following steps: respectively performing emotion reasoning and emotion trajectory construction to obtain an emotion label and an emotion trajectory of a role, identifying a plot turning point through the emotion trajectory of the role and a key plot node, and obtaining a bullet screen analysis result corresponding to a video to be processed according to the emotion label, the obtained emotion intensity, the emotion association role, the plot turning point and the to-be-processed video. And determining a triggering opportunity, a triggering emotion and a triggering special effect, and performing emotion special effect rendering through the triggering opportunity, the triggering emotion and the triggering special effect.

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 intelligent furniture design production method and system, and relates to the technical field of furniture production, and the method comprises the steps: obtaining the design demand data of a customer, carrying out the semantic analysis of the design demand data based on a semantic analysis model, extracting the design elements of the design demand data of the customer, and importing a basic furniture model, setting an initial size of the basic furniture model according to the spatial data; dividing the plurality of design elements into a plurality of design element groups according to a design direction; adjusting the initial size of the basic furniture model based on the plurality of design element groups to generate a plurality of initial design schemes; and extracting process parameters of the initial design scheme, screening and analyzing based on production feasibility, and outputting a furniture design production scheme meeting the production feasibility. Design elements of customer design demand data are extracted through semantic analysis, production feasibility analysis is carried out in combination with furniture materials, efficient and full-automatic intelligent furniture customization operation is achieved, and the intelligence of furniture design production is improved.

The invention relates to the technical field of molecular docking, in particular to an automatic molecular docking and screening analysis method which comprises the following steps: S1, aligning protein structures; s2, processing the receptor protein file; s3, carrying out batch molecular docking; s4, calculating the distance between the substrate and the catalytic site; s5, performing combined screening on the combination energy and the spatial relationship; and S6, summarizing and visualizing results. According to the method, a large-scale molecular docking task can be efficiently and accurately completed, and powerful technical support is provided for the fields of drug design, enzymology research and the like.

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 invention belongs to the field of network security, relates to a data analysis technology, and is used for solving the problem that targeted security tool configuration and arrangement cannot be quickly provided for enterprise users in the prior art, in particular to a network security task automatic arrangement system based on network security. Comprising a basic screening module, an execution analysis module, an exclusive screening module, an integration arrangement module and a database. The basic screening module is used for carrying out screening analysis according to basic performance requirements of enterprise users; the execution analysis module is used for evaluating and analyzing the network security task execution state of the primary selection object; the exclusive screening module is used for carrying out screening analysis according to the exclusive industry attributes of the enterprise users and generating an exclusive set of screening objects; according to the invention, the exclusive set can be generated by the security tool set for network security protection through the exclusive object, and the arrangement set is obtained by combining the general set and the exclusive set, so that the network security architecture composition efficiency and the security protection effectiveness can be considered.

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 invention relates to the technical field of traditional Chinese medicine medicinal materials, and discloses a method for analyzing correlation between bletilla ochracea and diseases on the basis of UHPLC-Q-Exactive Plus Orbitrap-HRMS (Ultra High Performance Liquid Chromatography-Q-Exactive Plus Orbitrap-High Resolution Mass Spectrometry) and network pharmacology, and the method comprises the following steps: S1, analyzing and identifying medicinal components in bletilla ochracea on the basis of UHPLC-Q-Exactive Plus Orbitrap-HRMS; s2, constructing an active component data set by using the bletilla ochracea and the active component targets; s3, finding out common targets between the bletilla ochracea and the active component-disease by taking the intersection of the two; s4, determining core target screening conditions and performing screening analysis; and S5, constructing a visual graph of'active ingredient-target spot-pathway-disease '. According to the method disclosed by the invention, the medicinal components of the bletilla ochracea are analyzed through UHPLC-Q-Exactive Plus Orbitrap-HRMS (Ultra High Performance Liquid Chromatography-Q-Exactive Plus Orbitrap-High Resolution Mass Spectrometry), and common target analysis of the medicinal components and the diseases is carried out in combination with network pharmacology, so that the association rule between the bletilla ochracea and the diseases is obtained.