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1314 results about "Multi source data" patented technology
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Data encryption applications for multi-source longitudinal patient-level data integration
InactiveUS20050256742A1Computer security arrangementsPatient personal data managementData providerPatient level data
Software applications are provided for integrating individual multi-sourced patient healthcare transaction data records in a longitudinal database. The data records are processed in a manner which preserves patient privacy by encrypting patient-identifying attributes in the data records and thereby rendering sensitive personal information inaccessible. The applications, which may be organized as modules using common frame work components, are designed to process the multi-sourced data records at data supplier sites and at a common database assembly facility. The applications provide the data supplier sites and the database facility with methods for acquiring attributes, standardizing formats, encryption key generation, and encrypting and decrypting attributes in the data records. The encryption application provides methods for double encryption of the data records at data supplier sites using a key specific to a data supplier and a key specific to the database facility.
Owner:IMS SOFTWARE SERVICES
Disease knowledge map construction method and platform system, device, and storage medium
InactiveCN109271530AImprove build efficiencyQuality improvementMedical practises/guidelinesKnowledge representationDiseaseAmbiguity
The invention discloses a disease knowledge map construction method and a system, a device and a storage medium thereof, belonging to the technical field of disease knowledge maps. The disease knowledge map construction method comprises the following steps: extracting or learning entity, attributes and relationships among entities from a multi-source database to form ontological knowledge representation; B. knowledge fusion: integrate knowledge to eliminate contradictions and ambiguity; C. Knowledge processing: After quality assessment, the fused knowledge is added to the knowledge base. It also includes disease knowledge mapping platform system, equipment and storage medium. Aiming at the problems existing in the prior art, it extracts entities, attributes and their relationships from multiple data sources, and fuses and processes them, so as to quickly construct a normalized and standardized disease knowledge map.
Owner:长沙瀚云信息科技有限公司
Power grid multi-source data fusion method and system based on multi-element heterogeneous model
ActiveCN107402976AImplement relational queryAchieve statisticsData processing applicationsSpecial data processing applicationsData accessPower grid
The invention discloses a power grid multi-source data fusion method and system based on a multi-element heterogeneous model. The method comprises the following steps of multi-source data access, metadata storage, unified device modeling and data extraction, model matching degree calculation and multi-element data fusion. The system mainly comprises the five modules of multi-source data access, metadata storage, unified device modeling and data extraction, model matching degree calculation and multi-element data fusion. A unified model including multi-source system data is established by deeply analyzing the multi-source system data, automatic association is performed through model traversal comparison and model matching degree calculation according to the matching degree, automatic data integration and fusion of 90% or above is achieved, unfused data details and detailed causes are accurately analyzed, integration and fusion of various service data are achieved, and the overall fusion quality is effective managed and controlled.
Owner:RES INST OF ECONOMICS & TECH STATE GRID SHANDONG ELECTRIC POWER +3
Electric transmission and transformation device multi-source state assessment data processing method and application thereof
InactiveCN106651188AIncrease profitMeet management needsResourcesInformatizationElectric power transmission
On the basis of analyzing the features of the electric transmission and transformation device multi-source state assessment data, an electric transmission and transformation device multi-source state assessment data processing method is provided. The method comprises: multi-source data obtaining, data cross-platform access, data preprocessing and preliminary cleaning, data quality assessment model, data standardization conversion and data output, and is applied on the big data platform. The electric transmission and transformation device multi-source state assessment data processing method and the application thereof are configured to provide service such as storage, retrieval and excavation for the main net electric transmission and transformation device multi-source data and provide data support for the high-grade service such as risk assessment and the like. The electric transmission and transformation device multi-source state assessment data processing method and the application thereof belong to the electric power informatization technology field.
Owner:GUIYANG POWER SUPPLY BUREAU OF GUIZHOU POWER GRID CO LTD
Multi-source data fusion system and method
InactiveCN105893526AAddress the need for convergenceImprove effectivenessSpecial data processing applicationsAnalysis dataData set
The invention discloses a multi-source data fusion system and method. The multi-source data fusion system comprises a data source subsystem used for acquiring multi-source data, a scene rule base used for storing a scene rule based on different scenes, a data fusion subsystem used for fusion of the multi-source data so as to form an analysis data set, correlating to the analysis data set according to the scene rule, and outputting a fusion database based on the scene rule, and a fusion database subsystem used for storing the fusion database based on the scene rule. By the adoption of the system and method, data fusion requirements in different scenes can be met, data fusion effectiveness is improved, and accurate data information service can be provided for requirements of different scenes.
Owner:YINLIAN FINANCIAL INFORMATION SERVICE BEIJING CO LTD
Three-dimensional building fine geometric reconstruction method integrating airborne and vehicle-mounted three-dimensional laser point clouds and streetscape images
PendingCN111815776AGuaranteed geometric accuracyEfficient extractionInternal combustion piston engines3D modellingPoint cloudModel reconstruction
The invention provides a three-dimensional building fine geometric reconstruction method integrating airborne and vehicle-mounted three-dimensional laser point clouds and streetscape images. The method comprises the following steps: (1) a quick modeling method based on airborne laser data; (2) combining the semantic segmentation framework of the vehicle-mounted point cloud and the image; and (3) amodel automatic enhancement algorithm fusing multi-source data. According to the method, airborne laser point cloud, vehicle-mounted laser point cloud and streetscape images are taken as research objects, model reconstruction, model enhancement and updating are taken as targets, joint processing of point cloud and image data of different platforms is realized, and the fusion potential of variousdata is fully mined. The final research result will perfect the fusion and fine modeling framework of vehicle-mounted-airborne data, promote the development of the point cloud data semantic segmentation technology, and serve the emerging application fields of unmanned driving and the like.
Owner:山东水利技师学院
Wireless ad hoc network traffic navigation system and method based on multi-source data
InactiveCN101286267AImprove early warning functionPrevent Chain CollisionsAnti-collision systemsTransmissionComputer moduleTraffic accident
The invention discloses a traffic navigation method of a wireless ad hoc network based on multi-source data, including a sudden traffic accident prewarning process. The prewarning process includes the steps: 1, the information collected from an information collecting module is obtained; 2, the emergency degree of the accident and the region and direction where the accident information is required to be issued are all arranged according to the information acquired from the step 1; 3, a vehicle knot which collects the sudden traffic accident information adjusts the priority and issuing region of the information according to the type and emergency degree of the traffic accident and transfers the accident information according to the issuing direction of the information; 4, the vehicles knot which receives the sudden traffic accident information inform drivers and passengers of the prewarning information ahead. The invention additionally adopts the prewarning function for sudden traffic accidents to better avoid the chain collision when the accident happens.
Owner:TONGJI UNIV
Comprehensive monitoring and intelligent analysis method of safe state of rail system
PendingCN107858883ARealize long-term security real-time monitoringReal-time monitoring of safe service behaviorMeasuring apparatusWeather monitoringHigh frequency
The invention discloses a comprehensive monitoring and intelligent analysis method of a safe state of a rail system. The method fuses three sensing monitoring technologies, monitors low frequency datasuch as structure temperature based on a fiber grating technology, adopts a modified stress-strain technology to monitor high frequency data such as transverse stress and vertical stress of a steel rail, and utilizes a video sensing technology to observe large structure deformation and surface states for sensitive structures difficult in contact measurement such as a turnout switch rail, therebyrealizing all-weather system monitoring of a railway rail system from exterior to interior and from high frequency to low frequency. By performing fusion analysis on the collected multi-source data, the state of a rail can be effectively evaluated, diagnosed and predicted, thereby realizing timely early warning of the safe state of the rail. The method disclosed by the invention has the advantagesthat the arrangement of measuring points is reasonable, a monitoring process has a high degree of automation, a line state can be evaluated accurately, the early warning of an abnormal condition is timely, the service of the railway rail system is safe and controllable, and a reliable guarantee is provided for safe and stable operation of a train.
Owner:BEIJING JIAOTONG UNIV +1
Time-space characteristic and cross-border mining identification method for multi-source data monitoring mining area deformation
ActiveCN105444730AShorten the lengthHigh precisionHeight/levelling measurementEcological environmentSynthetic aperture radar
The invention provides a time-space characteristic and cross-border mining identification method for multi-source data monitoring mining area deformation. The method comprises the following steps: firstly, obtaining and optimally processing data by using a synthetic aperture radar (SAR); fusing SAR data monitoring data of a multi-satellite platform to obtain a settlement result map; carrying out supplementary monitoring on 'a large-deformation area' or 'a de-coherence area' in a tested mining area in the fused settlement result map; unifying multi-satellite platform data monitoring result coordinates; and finally inverting time-space characteristics of surface deformation of the mining area, so as to identify a cross-border mining area. The method is simple, small in calculated quantity and high in identification efficiency, and has important theoretical value and a wide application prospect in the aspects of maintaining the mining order, ensuring the mine safety and protecting the ecological environment of the mine; and the time-space characteristics of surface deformation of the mining area can be effectively inverted.
Owner:CHINA UNIV OF MINING & TECH
Multi-source longitudinal patient-level data encryption process
ActiveUS20050268094A1Overcome data source varianceSafely analyzeDigital computer detailsComputer security arrangementsData providerMulti source data
Systems and processes for assembling de-identified patient healthcare data records in a longitudinal database are provided. The systems and processes may be implemented over multiple data suppliers and common database facilities while ensuring patient privacy. At the data supplier locations, patient-identifying attributes in the data records are placed in standard format and then doubly encrypted using a pair of encryption keys before transmission to a common database facility. The pair of encryption keys includes a key specific to the data supplier and a key specific to the common database facility. At the common database facility, the encryption specific to the data supplier is removed, so that multi-sourced data records have only the common database encryption. Without direct access to patient identifying-information, the encrypted data records are assigned dummy labels or tags by which the data records can be longitudinally linked in the database. The tags are assigned based on statistical matching of the values of a select set of encrypted data attributes with a reference database of tags and associated encrypted data attribute values.
Owner:IMS SOFTWARE SERVICES
Big data based bus route time table collaborative optimization method
ActiveCN106448233AFully consider the possibility of travelThe results are scientifically accurateRoad vehicles traffic controlForecastingIntegrated circuitOperational costs
The invention relates to a big data based bus route time table collaborative optimization method, and belongs to the technical field of urban bus operation management. Bus GPS (global positioning system) data, bus IC (integrated circuit) card data and route station data are fused and processed into a bus time table to provide actual operation based data support, and a bus time table optimization model considering rail transit transfer is provided. The model takes departure intervals at each time period as decision variables, takes minimum total system cost as an objective function, and comprehensively considers waiting time cost of non-transfer passengers, waiting time cost of transfer passengers and operating cost of bus operating enterprises. Passenger flow data are obtained through multi-source data fusion, a lot of manpower is saved, and accuracy in data is improved. By the consideration of routine bus system and rail transit transfer, reasonability in bus time table preparation is improved. A data model is set up to optimize the bus time table, waiting time cost of passengers and enterprise operating cost are both taken into consideration, and coordination in passenger and enterprise profits is realized.
Owner:DALIAN UNIV OF TECH
Method for constructing government affair big data treatment system
PendingCN110781236AEffective combinationEffective applicationDatabase management systemsOffice automationEngineeringMulti source data
Owner:SHANXI TISCO INFORMATION & AUTOMATION TECH CO LTD
Multi-source data integration method based on geographic information
InactiveCN106610957AEfficient integrationAchieve mutual integrationDatabase management systemsGeographical information databasesSystem configurationData profiling
The invention discloses a multi-source data integration method based on geographic information, and belongs to the geographic information technology. The method is characterized in comprising the following steps of: 1) analysis design: investigating and surveying required data, and generating a data analysis report; 2) data arrangement processing: carrying out integration processing on the data subjected to the analysis design; 3) data storage: carrying out classification integration storage on an achievement obtained after data processing, and forming a kernel database; and 4) map service configuration: carrying out symbol rendering on spatial data, publishing the spatial data to a corresponding map server, and carrying out the integrative display of system configuration and service in an appointed system. The method has the advantages that multi-source data, including the spatial data, business data, attribute data, workflow data, element data and the like, can be effectively fused, and data processing and application methods can be effectively combined and applied.
Owner:星际空间(天津)科技发展有限公司
Method and system for compiling a multi-source database of composite investor-specific data records with no disclosure of investor identity
A system and method are disclosed for compiling a database of investor-related data by gathering and linking customer-specific data records from multiple unaffiliated financial institutions, where such data records are coded in such a manner that the database compiler is enabled to link, across data providers and / or time periods, data records that pertain to the same investor without being provided any information that reveals the identity of any investor.
Owner:PLUTOMETRY CORP
Automated supervised learning method with multi-source data supported
InactiveCN107516135AReduce complexityQuick conversionCharacter and pattern recognitionArtificial lifeExtensibilityAlgorithm
The invention discloses an automated supervised learning method with multi-source data supported, which comprises steps of (1) data pre-processing, (2) feature engineering, (3) model and super parameter regulation and (4) Bayesian pipeline optimization. The traditional data analysis process is automated, the process of manually regulating a machine learning pipeline is fundamentally improved, under the high coupling degree of super parameter regulation and pipeline optimization, the extensibility of the system on a supervised learning algorithm is greatly improved, a genetic algorithm is creatively put forward for regulation on the super parameters for the machine learning pipeline, and the efficiency for automated parameter regulation is greatly improved. Besides, a Bayesian optimizer is adopted for optimizing a pipeline algorithm combination, the problem of combination space explosion can be greatly solved, and finally, the accuracy and the efficiency of the automated supervised learning method are improved in the result.
Owner:ZHEJIANG UNIV
Allocation of packets in a wireless communication system
InactiveUS20070242693A1Network traffic/resource managementTime-division multiplexMultiplexingCommunications system
Owner:AVAGO TECH INT SALES PTE LTD
Real-time dynamic timing method and system based on multi-source data
InactiveCN108629990ARealize linkage controlReduce congestionControlling traffic signalsStatistical analysisSimulation
The invention discloses a real-time dynamic timing method based on multi-source data. The method comprises the steps of carrying out statistical analysis processing the historical road infrastructuredata and the vehicle positioning data; acquiring real-time road infrastructure data and vehicle positioning data, and carrying out fusion processing; estimating the current and prediction short-time dynamic OD flow on the basis of historical statistical analysis data and real-time processing data, generating a reference signal timing scheme; respectively obtain a road network traffic flow runningstate evaluation index for the current traffic operation condition and the current signal timing scheme, and the predicted traffic operation state and the generated signal timing scheme, and selectingan optimal timing scheme through the time-limited iterative process. The historical and real-time road infrastructure data and the vehicle positioning data are integrated, and the running condition of the traffic flow can be better estimated and predicted. The traffic signal lamps can be accurately and dynamically controlled in real time, and traffic congestion and blocking phenomena are effectively reduced.
Owner:重庆同枥信息技术有限公司
Public transport passenger flow monitoring method and device based on multi-source data and storage medium
InactiveCN111079875AComprehensive passenger flow monitoring resultsImprove accuracyData processing applicationsCo-operative working arrangementsInformatizationStreaming data
The invention relates to a public transport passenger flow monitoring method and device based on multi-source data, computer equipment and a storage medium. The method comprises the steps of obtainingbus station entering and exiting data, bus IC card data, subway gate entering and exiting data and weather data of public transport; determining subway station entering data and subway station exiting data of the passengers according to the subway gate entering and exiting data; determining bus getting-on data of passengers by matching the bus IC card data with the bus station entering and exiting data; calculating bus getting-off data of the passengers according to the subway station entering data and the bus getting-on data, and determining trip chain data of the passengers; obtaining the time difference of two adjacent riding in the travel chain data, and determining the transfer data of the passenger; according to the weather data, the travel chain data of the passengers and the transfer data, obtaining passenger flow condition monitoring results of stations, lines and designated areas of public transport. According to the invention, the passenger flow monitoring results are comprehensive and have high accuracy, and the general processing method for bus and subway passenger flow data is provided for an informatization system.
Owner:广州交信投科技股份有限公司
Constructing virtual control point constrained multi-source multi-coverage remote sensing image adjustment method
ActiveCN110388898AImprove stabilityAvoid huge deviationsImage enhancementImage analysisGeometric modelingVirtual control
The invention relates to a constructing virtual control point constrained multi-source multi-coverage remote sensing image adjustment method that comprises the following steps: S1, constructing an image imaging geometric model; S2, performing image matching on a stereo remote sensing image pair to obtain homonymous points of the remote sensing images; S3, constructing control points based on imagecharacteristics of different sensors; S4, performing multi-source data joint adjustment based on control point constraint; and S5, outputting refined parameters of a rational function model, and completing the multi-source block adjustment based on the RFM. According to the calculation method of the virtual control points, object space three-dimensional coordinates of the control points can be adaptively determined according to an intersection result of the homologous three-dimensional model, so that the adjustment solving stability and precision are remarkably improved.
Owner:INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
Power distribution network fault information mining and diagnosing method based on multi-source heterogeneous data
InactiveCN108037415AImprove accuracyLow probability of missed failureFault location by conductor typesInformation miningSCADA
The power distribution network fault information mining and diagnosing method based on the multi-source heterogeneous data comprises the steps of firstly, formulating a pre-set rule for a power distribution network fault event, carrying out data mining, and then preprocessing and fusing the multi-source heterogeneous information of the power distribution network, and finally, performing fault diagnosis on the power distribution network based on the multi-source data. According to the method, a production management system, fault repair and SCADA data are fused, SCADA system and TCM system event pre-set rules are established, the information related to the faults is extracted, and the information is stored in a big data platform; the relevance of the multi-source heterogeneous data is mined, information and attributes of events in the distribution network system are diagnosed, the auxiliary information is combined to verify the diagnosis result, and the technical support is provided forthe high-quality, safe and stable operation of the power distribution network.
Owner:JIANGSU ELECTRIC POWER CO +2
Method for comprehensively evaluating urban public transportation development level based on multiple data
The invention discloses a method for comprehensively evaluating an urban public transportation development level based on multiple data. The method comprises the following steps: firstly, preprocessing all acquired data by receiving, collecting and reading multiple relevant data, and obtaining the demanded parameters for index analysis after screening, repairing and excavating; secondly, dividing indexes into four criterion layers such as an infrastructure construction level, a public transportation equipment configuration level, a public transportation operation management level and a public transportation service level, and the relative index layers according to the character by adopting an analytic hierarchy process and taking the perception conditions of participators (including traffic managers, decision makers and participators) in a transportation system as an objective layer; finally, evaluating the public transportation development level for multiple read data based on a fuzzy comprehensive evaluation method, and calculating the comprehensive evaluation score of the public transportation development level to obtain the qualitative and quantitative evaluation results of the public transportation development level. According to the method, the hierarchical structure of the index system can be ensured to be clear and reasonable, and the establishment principle of the index system can be effectively implemented, and thus the method has a wider very wide popularization and application prospect.
Owner:贵州智诚科技有限公司
Functional area identification method based on remote sensing image and
The invention relates to a functional area identification method based on remote sensing image and POI. The data used includes a second high-score remote sensing image, network POI point data and field sampling data. The processing process is as follows: a, preprocessing the remote sensing image to unify the coordinate system of multi-source data; B, classifying that city function and POI, and classifying the POI lay as a function layer; (c) segmentating and classifying a remote sensing image to obtain the segmented vector data and the land use data of the non-built-up area; (d) adding that POI data to the broken plaque according to the rule to obtain the broken functional plaque; E, adding the broken patch to the block patch according to the weight value and the calculation formula, and obtaining the urban functional zoning with the block as the unit.
Owner:INST OF URBAN ENVIRONMENT CHINESE ACAD OF SCI
Agricultural flood disaster range monitoring system and method based on high-resolution satellite remote sensing image
PendingCN111008941AImprove clarityImprove processing efficiencyImage enhancementImage analysisInformation processingImage correction
The invention belongs to the technical field of agricultural flood disaster range monitoring. The invention discloses an agricultural flood disaster range monitoring system and method based on a high-resolution satellite remote sensing image. The agricultural flood disaster range monitoring system based on the high-resolution satellite remote sensing image comprises a remote sensing image acquisition module, a main control module, an image correction module, an image enhancement module, an image feature extraction module, a disaster information analysis module, an information processing moduleand a display module. Through the image enhancement module, the definition of the acquired remote sensing image can be greatly improved; meanwhile, various information data can be processed through the information processing module. The processing efficiency and utilization rate of multi-source data are improved. A model is constructed to improve the precision and accuracy of the model. The modelis used to accurately extract water body information. The flood disaster dynamic development situation of a river reach or a tributary is monitored and preliminarily evaluated, which lays a foundation for providing accurate disaster information service for river basin flood disasters.
Owner:INST OF AGRI RESOURCES & REGIONAL PLANNING CHINESE ACADEMY OF AGRI SCI
Bank outlet site selection recommendation method based on multi-source data driving
ActiveCN109657883AAutomate site selectionSolve the problem of site selection without sufficient data supportFinanceForecastingRecommendation modelEngineering
The invention relates to the field of data mining and big data application, in particular to a bank outlet site selection recommendation method based on multi-source data driving, which comprises thefollowing steps of: obtaining mobile signaling data and bank outlet peripheral data which comprise local bus data and network crawling data; Extracting five characteristics of visitor flow, user value, traffic jam index, number of surrounding competition websites and average visitor income from the target bank website according to the acquired data; Utilizing the constructed features to train a plurality of site selection classification models, and constructing a bank outlet site selection recommendation model based on probability-based multi-model fusion; And by using the constructed bank outlet site selection recommendation model, recommending the optimal bank outlet site selection distribution of the area according to the characteristics of the target area, so that the purpose of intelligent site selection of the bank outlet is achieved, the problems of inaccurate site selection range and high labor cost caused by traditional site selection are solved, and better economic benefits and social benefits are obtained.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Global geographical name data integrating and encoding method
InactiveCN103838825AGeographical information databasesSpecial data processing applicationsData informationMulti source data
The invention discloses a global geographical name data integrating and encoding method. GIS geographical name data information obtained through multiple channels is integrated and uniformly encoded to form a bank of global geographical names, domestic names are specified at the township level, and overseas names are specified at the county and municipal level. Design is conducted for the time characteristic and the space characteristic of the geographic name structure, and the global geographical name data integrating and encoding method combined with the traditional technology is put forward. The geographic data integrating process of the method includes the steps of organizing and classifying multi-source data, setting up the level mapping relation, and conducting projection conversion, data duplicate removal and the like, wherein geographic name data information can be more comprehensively completed, and the uniqueness, positioning accuracy and searching rapidness of geographic name data can be ensured. Meanwhile, on the basis that an existing national geographic name code standard is abided by and inherited, expanded encoding is conducted on the collected geographic name data, and the reasonable data table structure is designed. The method has the advantages of being large in data size, wide in coverage, high in accuracy and standard in encoding.
Owner:BEIJING AEROSPACE TITAN TECH CO LTD
An aero-engine turbine blade reliability digital twinning modeling method
PendingCN112507452AReduce uncertaintyImprove fidelityGeometric CADDesign optimisation/simulationPhysical modelMulti source data
The invention discloses an aero-engine turbine blade reliability digital twinning modeling method, relates to the technical field of aero-engines, and aims to realize high fidelity simulation and tracking of aero-engine turbine blade damage and life loss and quickly and efficiently evaluate the reliability and residual life of the aero-engine turbine blade. According to the invention, the turbineblade is taken as an object, aiming at the characteristics of multi-source and multi-time-scale use reliability related information, few fault samples and the like of the turbine blade, a physical model driving and data driving fusion method is adopted, that is, the specialty of a physical model in the aspect of explaining specific data is fully utilized, and a turbine blade digital entity model based on a high-precision physical model and multi-source data is constructed by means of the advantages of a machine learning method in the aspects of dimension reduction and multi-modal data fitting.The model can reflect the physical characteristics of the turbine blade and the variable characteristics dealing with different environments and damages, and can realize the product operation reliability dynamic evaluation and residual life prediction of multimode information fusion.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Web application safety situation assessment system based on multi-source data fusion
InactiveCN104836855AAccurate assessmentAccurate acquisitionPlatform integrity maintainanceTransmissionWeb applicationEcological environment
The invention discloses a Web application safety situation assessment system based on multi-source data fusion. The system comprises a vulnerability information acquisition subsystem, a Web application ecological environment detection subsystem, a Web application safety situation assessment subsystem and a safety situation display subsystem. The system achieves the technical effects that the system is capable of finishing vulnerability scanning efficiently and accurately, the cases of vulnerability false alarm information and unavailable detection are reduced, the timeliness and the expansibility of a vulnerability scanning system are relatively good, and the presentation mode is reasonable.
Owner:STATE GRID SICHUAN ELECTRIC POWER CORP ELECTRIC POWER RES INST +2
Multi-source data-based crowding degree prediction method of urban public open space
InactiveCN106503829ASolve technical problems that cannot be accurately predictedReduce the economic cost of forecastingForecastingTraffic capacityPredictive methods
The present invention proposes a multi-source data-based crowding degree prediction method of an urban public open space. Urban multi-source data such as WeChat user number data, POI data, comment data, area attribute data, meteorological data and time attribute data are utilized to determine the spatial-temporal features of each small region in the space; the people flow indexes of a region in different historical periods are obtained from the WeChat user number chart data through using a gridding sampling adding method; the historical people flow indexes and the spatial-temporal features are inputted into a fuzzy neural network model, so that people flow index prediction can be realized; and a predicted people flow index is converted into crowding degree through using clustering and comparison. With the method of the invention adopted, the prediction of the crowding degree is successfully achieved through using the open urban multi-source data; and the technological problems of too high prediction costs caused by over-reliance on hardware equipment, and incapability of realizing accurate prediction by using a single data source of a traditional crowding degree prediction method can be solved; and prediction economic costs are decreased, and prediction accuracy is improved.
Owner:TONGJI UNIV
Distribution transform-based multi-sensor image fusion method
InactiveCN102013095AImprove instabilityImprove classification accuracyImage enhancementNormal densityEuclidean vector
The invention discloses a distribution transform-based multi-sensor image fusion method, and relates to a multi-sensor image fusion method. The method solves the problems that the conventional multi-source data fusion process is difficult to establish a unified data distribution model and a proper method capable of effectively analyzing the joint properties of different sources is lacking. The method comprises the following steps of: 1, converting a data format so that the gray value of an image to be fused is converted into a vector form; 2, analyzing image data property, and establishing a probability distribution function (PDF) model; 3, establishing a joint probability density function model of multi-source data; 4, estimating and operating; 5, performing classified calculation based on the data fusion result of distribution transform through Bayesian criteria; and 6, performing compensating calculation on individual calculation results with low classification precision by adopting a compensating algorithm. The method establishes the unified data distribution model in the multi-source data fusion process, and effectively analyzes and fuses the joint properties of different sources.
Owner:HARBIN INST OF TECH
Urban traffic flow prediction method based on multi-source data fusion
InactiveCN111127888AImprove accuracyImprove reliabilityDetection of traffic movementCharacter and pattern recognitionDeep belief networkStreaming data
The invention discloses an urban traffic flow prediction method based on multi-source data fusion. The urban traffic flow prediction method comprises the following steps: performing a fusion algorithmoriented to structured and unstructured traffic data; to be specific, designing a wavelet neural network (WNN) containing a three-layer network topology structure to process traffic volume parametersof a multi-source detector; supposing that the traffic detector performs statistics by taking 5min as a time interval, setting an acquired traffic flow sequence to be xi (i = 1, 2, 3,..., k), and using the xi as an input traffic parameter of the wavelet neural network. According to the invention, multi-azimuth detection is carried out in combination with various sensors, comprehensive and complete traffic information is obtained, structured and unstructured data are comprehensively analyzed and fused, and the accuracy and reliability of traffic flow data are improved; and in combination witha traffic flow prediction algorithm based on a deep belief network, prediction of the traffic flow is realized, so that the traffic flow prediction precision is improved and the traffic jam is relieved.
Owner:GUANGDONG UNIV OF TECH
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