49 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 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 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.

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.

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 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 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 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 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.

The invention provides an apple small molecule stimulant virtual screening analysis system, belongs to the technical field of computer-aided screening, and solves the technical problems of long period, high cost, low efficiency and the like of existing apple stimulant screening. Comprising a data acquisition and storage module, a multi-strategy target identification module, an adaptive molecular docking module, a multi-task property prediction module, an intelligent virtual screening module, a result analysis and visualization module and a user management module. The system integrates multi-source data, constructs a special database, ensures data specificity and reproducible research, accurately identifies a target, positions and models key proteins, realizes efficient and accurate virtual screening and provides an interactive visual report through intelligent docking, synchronous calculation of multiple properties and overall planning of a multi-stage screening process, has a user isolation mechanism, and has a good application prospect. Data safety and operation traceability are guaranteed, a full-chain intelligent platform from data, target, screening to analysis is created, and a special advanced tool is provided for research and development of the apple stimulant.

The application discloses a kind of methylation liquid biopsy model construction method and system of tuberculous granuloma and lung cancer based on multi-omics sequencing.Use the DNA and RNA data extracted from ex vivo lung tissue sample sequencing and combine blood data screening analysis to obtain methylation DNA data, then use machine learning classification model independent training to obtain methylation liquid biopsy model;System contains gene extraction equipment, second-generation high-throughput sequencer, blood testing equipment and computer, computer will be off data and blood data together into computer comprehensive screening to obtain methylation DNA data, then construct model and predict to obtain the biopsy result of tuberculous granuloma and lung cancer.The application can realize the high-precision, non-invasive detection of tuberculous granuloma and lung cancer, can be flexibly selected according to specific needs, has the stability and reliability characteristics of marker, avoids the invasive risk of tissue biopsy, has wide applicability, and has important application value.

The application discloses a strip steel complex wave defect detection and early warning method, and the steps of the method are as follows: step 1, video data acquisition, a data analysis module extracts real-time video stream of a scene from a data acquisition module and converts the real-time video stream into image data; step 2, image data instance segmentation, a strip steel is separated from an image background through an instance segmentation algorithm, and a coordinate point position set of a strip steel edge in the image is obtained; step 3, tail area point screening, whether the strip steel edge point is in the tail of the strip steel is analyzed and judged, and the points in the tail area are screened out; step 4, wave defect discrimination, whether the included angle θ formed by adjacent three points of the tail area points of the strip steel is between 【A1, A2】 is judged, and when the included angle is greater than two, it is judged that the strip steel has the wave; and step 5, wave defect early warning, if it is judged that the wave defect is generated, an alarm signal is sent to a basic automation computer. The application can find the strip steel with the wave defect, and ensures that the product quality is stable and controlled.

The invention relates to a silica gel component screening and analyzing system based on image recognition, and belongs to the cross technical field of image recognition and material analysis. The system comprises a multi-scale microscopic image acquisition unit, a global context perception feature extraction unit, a weak feature enhancement and noise suppression unit, a component semantic segmentation unit, a quantitative analysis and confidence assessment unit and an adaptive threshold decision unit. The problem that imaging of tiny impurities is incomplete under a single magnification is effectively solved, and it is ensured that nanoscale silicon oxide can obtain sufficient characterization under different scales; the global context perception feature extraction module abandons local limitation of traditional convolution, long-range dependence is established in the horizontal direction and the vertical direction through an axial attention mechanism, the model can perceive spatial correlation of weak impurities in the whole view field, and the recognition capacity for isolated and low-contrast particles is remarkably improved.

The application discloses a kind of multistage equipment energy efficiency optimization control system and method for high efficiency machine room, it is related to equipment optimization technical field, the environmental parameter data and design parameter data of refrigeration machine room are obtained to analyze environmental correction factor, based on environmental correction factor, dynamic correction is carried out to cold load rate;Based on the delay time of preestablished, the history correction cold load rate sequence is reconstructed in phase space, the final embedding dimension is analyzed, and a hybrid prediction model is constructed based on the final embedding dimension;Based on the physical resonance characteristics of equipment, the optimal operating parameters are matched with the comprehensive energy efficiency index of machine room;The optimal operating parameters and the corresponding machine room comprehensive energy efficiency index are compressed in data structure, the data points are screened and analyzed, and the parameter library is updated.Reduce invalid data interference, so that the system can realize self-adaptive optimization in long-term operation, improve data storage and computing efficiency.

The utility model discloses a well cementation material fineness negative pressure screen analysis device which comprises a barrel, an exhaust pipe is arranged on one side of the barrel, an end cover is arranged at the top of the barrel, a rotating joint is installed at the top of the end cover, a rotating driving structure is arranged on the rotating joint, and a negative pressure exhaust nozzle is arranged at the end, located outside, of the rotating joint. The end cover is provided with a screen mesh with a negative pressure air exhaust nozzle, a supporting screen face is fixed to the end, located in the barrel, of the end cover, a filter bag is arranged on the inner side of the supporting screen face, the bottom of the supporting screen face is connected with a dust collecting bin, a vibration motor is installed on the dust collecting bin, a discharging pipe is installed at the bottom of the dust collecting bin, and the discharging pipe penetrates through the barrel and extends to the bottom of the barrel. And a gate valve is mounted on the discharge pipe. According to the device, pulse type adsorption of the screen can be achieved, in the adsorption process, the filtering area is large, the negative pressure loss is small, the pressure value is stable, and the device further has the self-cleaning capacity after screening is completed, so that continuous work is achieved, and the cleaned well cementation material can serve as a raw material to be recycled.

The invention discloses a streaming media bullet screen automatic reply system and method, and belongs to the technical field of streaming media interaction, and the system comprises a bullet screen collection module, a context emotion analysis module, a scene matching module, an interaction memory module, a reply generation module and a reply output module. The bullet screen acquisition module is used for acquiring user bullet screen data in real time and synchronizing the user bullet screen data to the context emotion analysis module and the interactive memory module; and the context emotion analysis module pre-constructs a semantic understanding model and an emotion classification model, and is used for outputting a bullet screen analysis result with a context label and an emotion label. According to the invention, the context emotion analysis module is combined with the semantic comprehension and emotion classification model to realize the deep analysis of the bullet screen, and the module not only can identify the core appeal and context logic of the user, but also can accurately judge the complex emotional tendency including metaphor and invert, provides an accurate intention and emotion basis for the subsequent reply generation, and improves the user experience. And the reply pertinence and the emotion matching degree are obviously improved.

The utility model belongs to the technical field of cement fineness detection, and particularly relates to negative pressure screen analysis equipment for cement fineness detection, which comprises a body, a screen frame and a support ring, a suction inlet is arranged on the surface of the body and used for placing the screen frame, the support ring is fixedly connected in the suction inlet, the screen frame is placed on the support ring, and the support ring is fixedly connected with the suction inlet. A sealing mechanism is arranged on the supporting ring, the sealing mechanism comprises a gas storage block and an expansion block, the gas storage block and the expansion block are hollow, gas enters the expansion block, the expansion block is pressed to expand to block a gap between the screen frame and the suction inlet, and then the situation that the accuracy of screen analysis equipment is affected due to the gas leakage situation is avoided; and meanwhile, the groove can be protected through the elastic film, and cement particles are prevented from entering the groove to abrade the expansion block.

The application discloses a kind of intelligent logistics management method and system, the method includes: the influence of analyzing environmental data to the temperature change in refrigerated vehicle, the influence of analyzing the temperature change in refrigerated vehicle to goods form obtains the vulnerable degree rating of goods, analyze the path characteristic between refrigerated vehicle and transfer station, based on the path characteristic analysis the predicted transport time of the transport path, based on the time threshold value set to screening transport path, analysis the influence of the jolt characteristic of transport path and the vulnerable degree of goods to transport path score obtains the comprehensive score of transport path, according to the comprehensive score selects target transport path, real-time analysis refrigerated vehicle in target transport path driving time, based on the driving time and predicted time are collated, analysis the influence of the jolt degree of transport path and the vulnerable degree of goods to cost loss obtains loss cost, according to the loss cost to transport path is adjusted, the present application has the characteristics of reducing cost and improving accuracy.

The invention belongs to the technical field of vision screening, and discloses a rapid children vision screening system and method based on the Internet of Things. The system comprises a screening terminal device, an Internet of Things communication device and a cloud server. The method comprises the following steps: collecting real-time basic information of a child, and uploading the real-time basic information to a cloud server; generating a real-time vision screening strategy according to the real-time basic information; according to a real-time vision screening strategy, selecting visual chart elements from a visual chart element library, generating a real-time visual chart page, and sending the real-time visual chart page to screening terminal equipment; visualizing the real-time visual chart page, collecting real-time interaction data of the child, and uploading the real-time interaction data to a cloud server; and according to the real-time vision screening strategy, analyzing the real-time interaction data to obtain a real-time vision screening analysis result, and sending the real-time vision screening analysis result to the screening terminal equipment. According to the invention, the problems of high hardware cost, low efficiency, poor effect, dependence on professionals and poor real-time performance in the prior art are solved.

The invention relates to the technical field of elevation measurement, in particular to a digital elevation model production method based on multi-source laser point clouds, which comprises the following steps of: collecting a point cloud extraction position and intensity comparison mutation region, selecting a height difference jump zone to extract a distribution result, and extracting a point zone distinguishing semantic replacement positioning path mutation paragraph to extract an edge range graph; an echo track is read, a drift trend is analyzed, a sudden change area is corrected, a boundary distribution diagram is obtained, change extension routing tracking arrangement point columns are extracted, extension point chains are connected with net surface pulling connection gaps, extension is completed, and an elevation diagram is obtained. According to the invention, through multi-platform laser scanning acquisition and space division, elevation mutation region identification and key region screening analysis, and through multi-band echo path comparison, drift correction is carried out, stable and mutation regions are distinguished, continuous point columns are extracted to keep path coherence, discontinuity and distortion are avoided, and complex terrain modeling integrity is logically improved. The topographic features and dynamic changes are better reflected, and the problem of data insufficiency of a traditional method is solved.

The invention discloses a medium-voltage three-core cable grounding fault positioning method, device and equipment. The method comprises the following steps: acquiring cable structure data and historical grounding fault data of a medium-voltage three-core cable; generating an environment structure-fault type data set based on clustering analysis of environment structure vectors; analyzing a positioning error of a ground fault in the environment structure-fault type data set; performing parameter value screening analysis based on positioning errors according to traveling wave acquisition data, and generating an optimal acquisition set for the environment structure-fault type data set; performing signal clustering analysis on the traveling wave signal data in the optimal acquisition set, and screening an optimal signal set; and acquiring real-time environment data, real-time structure state data and real-time traveling wave data of the medium-voltage three-core cable according to the optimal acquisition set and the optimal signal set, and carrying out fault positioning. The technical problems that positioning is prone to interference, errors are large, and application requirements of complex scenes are difficult to meet due to an existing fixed acquisition mode can be solved.

The invention relates to the technical field of heat supply systems, in particular to a heat supply comprehensive management system based on user behavior analysis. Comprising a central control unit used for setting a plurality of thermal points according to a heat supply area; the operation and maintenance unit comprises a plurality of operation and maintenance substructures, and the operation and maintenance substructures are arranged at the thermal points; the operation and maintenance unit is used for collecting operation monitoring data of each heating point and is also used for controlling heat supply parameters of each heating point; the operation and maintenance unit is also used for constructing a historical monitoring library; and the simulation unit is used for establishing a load regulation and control model and an abnormity evaluation model. According to the method, users in a heat supply area are screened and analyzed to generate multiple user categories, so that multiple heat point subsets are established, heat supply control parameters of the heat point subsets in different load scenes are dynamically adjusted according to a preset load regulation and control model, the operation and maintenance efficiency and accurate load distribution of a heat supply system are improved, and the user experience is improved. And the stability of the heat supply system is ensured.