58 results about "Standard data model" patented technology

A method and system for predicting and alarming the failure of aircraft are disclosed. Said method includes arranging different sensors at various positions where it is possible that the failure occurs, continuously acquiring the data from said sensors, storing the data in hard disk, analyzing and procesisng the data, comparing the result with standard data model, starting alarm system if they are not matched, and transmitting the result to ground command center. Said system is composed of sensors, data acquisition unit, computer, alarm system, and the data receiver and monitor in ground command center.

The invention discloses a system, a device and a method for realizing data migration of a heterogeneous database. The system comprises a source end database, a data migration device and a target end database, wherein the source end database converts a data model or application service of the database into a general data model or service through reverse engineering of a relational database; the data migration device compiles and decompiles the general standard data model or service converted from the source end database into a standard data model or application service of the target end database according to the characteristics of the target end database, and explains the data model or application service into standard database query sentences and transmits to the target end database; and the target end database executes the standard database query sentences transmitted by the data migration device, and finishes the data migration from the source end database through a pipeline mechanism type channel. Through the invention, quick migration of the cross-platform and cross-database data can be realized relatively well.

The invention provides a checking method of a BIM model. The checking method includes the steps of firstly, building a BIM standard data module; secondly, reading the attribute information of BIM model elements to form a first data list, and reading all the attribute information in the BIM standard data model to form a second data list; thirdly, matching the attribute information in the first data list and second data list, performing the fourth step is the matching succeeds, and performing the fifth step if the matching fails; fourthly, performing a conformity check, outputting information that the elements conform to standards if all the elements conform to the standards, and ending the checking; performing the fifth step if elements not conforming to the standards exist; fifthly, outputting information that elements not conforming to the standards exist, feeding a checking result back to the BIM model, displaying the elements not conforming to the BIM technical standards, and ending the checking. By the checking method, automatic checking of the BIM model can be achieved, and high checking efficiency and accurate checking result are achieved.

The invention discloses a high-precision laser 3D profile detection method of a mobile phone structure piece. The detection method comprises steps of step 1), using a laser measurement device to scan a sample once, setting scanning parameters including laser power, image exposure time and acquisition range, and sampling laser scanning image samples of the sample; step 2), placing a mobile phone structure piece to a moving work bench, fixing a laser measurement head right above the mobile phone structure piece and using a servo motor to drive a work bench support plate to move, thereby finishing the detection, wherein the system finishes the surface profile detection in two seconds, the sampling frequency St=pl / sstep, the pl is the measurement length of a product and the sstep is the sampling step length; step 3), establishing a profile standard data model; and step 4, importing 3D model CAD data before measurement, wherein the data is formed by thousands or tens of thousands of triangular face sheets, and intercepting the slice graph of a 3D model along a path perpendicular to the scanning direction.

The invention discloses a heat exchanging station intelligent network control system and belongs to heating heat exchanging equipment, especially program control systems of a heat exchanging station. The heat exchanging station intelligent network control system comprises heat exchanging station local control systems, communication lines and a remote monitoring system. Each heat exchanging station control system mainly comprises a pressure sensor, a temperature sensor, a flow sensor, a liquid level sensor, an outdoor temperature sensor and an intelligent controller. The remote monitoring system comprises a server, an engineer station, an operator station and displaying, printing and inputting equipment. The remote monitoring system is connected with the multiple heat exchanging station local control systems through the communication lines. The heat exchanging station intelligent network control system detects various parameters of heat exchanging stations, the parameters are compared with standard data models, computing is carried out, under the basic premise that the using requirement is guaranteed, each heat exchanging station is adjusted and controlled, energy loss is lowered, and heat exchanging system operation efficiency is improved.

The invention discloses an MDC (Module Data Center) based isomerism-supporting data pooling layer, a system and a realizing method thereof. The MDC based isomerism-supporting data pooling layer realizing method comprises the steps of firstly receiving an isomerism monitoring data information through a southbound interface; parsing an protocol adopted by monitored data transmission and a number arrangement mode adopted by an ID through a protocol parsing layer and an equipment ID rule, and sending monitoring information, including signal information, alarm information, control information and configuration information, to a complex event processing module; and packaging all the monitoring information uniformly by the complex event processing module, and sending the packaged monitoring information to an MDC management platform through a northbound interface. Compared with the prior art, the MDC based isomerism-supporting data pooling layer, the system and the realizing method provide a standard data model to enable the signal point locations, alarm formats and names reported by different manufacturers to be executed according to a same standard, build a standard data transmission mode, set up a standard protocol for system docking, add resource docking between users and the manufacturers, can monitor an isomeric object, and are strong in practicability.

The invention provides a data processing method and device. The data processing method includes the steps that when a first medical system receives isomerous data from a second medical system, according to a mapping relation model between the second medical system and the first medical system, the target mapping relation between the isomerous data and metadata in a standard data model in the first medical system is determined; according to the target mapping relation, the isomerous data are converted into target metadata mapped with the isomerous data. By means of the technical scheme, the different medical systems can be in seamless joint when integrated organically, and repeated code modification and repeated contract formulation are avoided, so that data exchange has the uniform standard and is high in efficiency and reusability.

The invention discloses a method for establishing an engineering material database according to the digitized standard specification of engineering materials. The method comprises the following steps of: taking the engineering material handbook of each industry as a basis, and obtaining the digitized specification of engineering materials through analysis, conclusion and summarization; carrying out informationization processing on the engineering material handbook to obtain a material table performance parameter data file and correct the obtained table data file; uploading the corrected table data file to a service side to generate a table description file of an XML (Extensive Markup Language) format; automatically parsing the table description file of the XML format to generate a standard XML data model; and automatically storing a material performance parameter value in the XML standard data model into the database. The method has the beneficial effects that a digitized standard specification method of engineering materials is put forward, a digitized tool of a material performance parameter table and a material database construction scheme are developed, and enterprises can be assisted in simply, efficiently and quickly constructing the engineering material database of the own unit at a low cost.

The invention discloses an analyzing and subscribing system of business data events. The system comprises a data receiving module, a data modeling module, a rule processing module and a result pushing and sending module, wherein the data receiving module is used for receiving data from a data source and conducting analysis and data correctness verification on the data, the data modeling module is used for analyzing and matching correct data received by the data receiving module and conducting modeling according to data types to generate a standard data model, the rule processing module is used for conducting event analysis and identification according to the data model, conducting remodeling on the data according to an analysis result and conducting processing and filtering on the remodeled data according to a user subscribing rule to obtain information needed by a user, and the result pushing and sending module is used for conducting formatting processing on a result of the rule processing module to generate format information according with user needs and push and send formatted information to the user. Correspondingly, the invention further discloses an analyzing and subscribing method of the business data events, the problem that event information does not exist in the subscribing system is solved, and the event subscribing function can be achieved through a message subscribing mode of a classic subscribing system.

The invention provides a big data intelligent cleaning system and a cloud robot intelligent cleaning service platform, and belongs to the field of big data processing. The system comprises an input module, a data processing module, a storage module and a cleaning module; the input module is used for being provided for a user to input at least one type of precleaning data; the data processing module is connected with the input module, and used for conducting automatic scanning in the precleaning data to extract target fields, and analysable modules are obtained through processing; the storage module is connected with the data processing module and comprises at least one database, each database is used for storing one type of precleaning data and the corresponding analysable module, and usedfor conducting cleaning processing on the precleaning data to obtain standardized data and output matched information, and cleaning processing comprises the steps of model matching processing and voice verification processing. The big data intelligent cleaning system and the cloud robot intelligent cleaning service platform have the advantages that the cleaning cost is greatly lowered while the data cleaning efficiency is greatly improved.

The invention discloses a refrigerator test system and test method. The refrigerator test system comprises test boxes, a computer, and a data server. The test boxes that correspond to and match refrigerators one by one control refrigerator loads to work independently and collect load power data and temperature data of temperature sensors inside the refrigerators; and the test boxes are in communication with main control boars of the refrigerators. The computer that is in communication with the test boxes is used for receiving the power data and temperature data that are collected by the test boxes and comparing the data with a standard data model. The server that is in communication with the computer is used for storing the power data and temperature data and perfecting the standard data model. According to the invention, the test boxes test all loads of the refrigerators separately and collect the load power data; and the internal temperature sensors of the refrigerators collect the temperature data; and the computer software is used for comparing the data collected by the test boxes with the standard data model. Therefore, the test dead zone can be eliminated and the test efficiency can be improved.

The invention discloses a system and a method for obtaining human body appearance data according to a human body photo. The system comprises a picture preprocessing module, a human body three-dimensional reconstruction module based on feature points, a partial layer-by-layer reconstruction module and a texture mapping module. The invention further discloses a method for obtaining the human body appearance data according to the human body photo. Firstly, a picture is imported, the picture is preprocessed, and related data of the picture are read and stored; after completion, importing a standard data model; the human body three-dimensional common module based on the feature points starts to carry out algorithm operation with the picture data; human body three-dimensional reconstruction of the feature points is completed; the method comprises the steps that a three-dimensional virtual human model is reconstructed, the reconstructed three-dimensional virtual human model is subjected to data storage, stored feature point three-dimensional virtual human model data are transferred, partial bit-by-bit layer-by-layer reconstruction is carried out, and finally texture mapping is carried out, so that three-dimensional reconstruction of a human body is completed, and the key technology is image-based human body three-dimensional reconstruction and texture mapping.

The invention relates to the field of data sharing technology, and particularly relates to a data sharing system and method for multiple data sources. The data sharing method provided by the invention comprises the steps that: a data source package module packages a plurality of dispersive data sources according to a united standard data model and submits the packaged data sources to a metadata management center; the metadata management center provides a management function of metadata information of a sharing data source to achieve centralized management on the metadata information of the sharing data source and the shared data thereof; a data service package module packages various operations of the shared data in a service manner according to the metadata information of the metadata management center, in order to provide data sharing ability; and a data service management center manages data services, comprising data service release, query, deletion and modification, etc. The data sharing system and method provided by the invention can meet the data sharing demand of the multiple data sources and can be applied to data management of the multiple data sources.

The invention provides a food safety automatic analysis and risk early warning system and method. Aiming at the meat foods, a safety analysis and inspection mode characterized in that the detection iscarried out by consumers; the detection results are stored in a chain, and the meat food quality data and the safety early warning are obtained through standard data model matching is provided, so that the technical problems that a consumer is untrusted to a current detection mode, and automatic evaluation and early warning cannot be achieved on food safety and quality of the food safety, are solved.

The invention relates to a method for exchanging and transmitting the commercial data, which comprises the steps that: 1) a standard server defines and publishes the standard and a transmit leg and a receive leg set the standard data area and download the storage standard: 2) the difference nude (unformatted) data is transmitted and the data information marked with a standard identification code is transmitted; and 3) the nude data is analyzed and updated and the nude data is analyzed and updated according to the local standard. The standard divides the protocol into nine description segments and the transmitted contents are effectively expressed through the nine description segments according to the standard protocol. The main transmitted objects are the commercial documents, accounts, tables and files and the updated transmission is carried out according to the previously registered standard so as to achieve the data exchange goal of carrying out the transmission with high efficiency and enhancing the security protection and usually the transmission with high efficiency can reach 3 to 10 times of that in the traditional mode.

The embodiment of the invention belongs to the technical field of artificial intelligence, and relates to a data labeling method based on cross validation and related equipment. The method comprises the steps of obtaining a small sample initial standard data set; inputting the initial standard data set into a classification model for cross validation to obtain an initial standard data model; obtaining a large sample data set, inputting the large sample data set into the initial marking data training model for pre-marking, and determining a correction data set according to a pre-marking result; inputting the correction data set into an initial standard data training model for cross validation to obtain a final standard data model; and labeling the received data to be labeled through the final labeling data model. In addition, the invention also relates to a blockchain technology, and the to-be-labeled data can be stored in the blockchain. The labeling efficiency is improved to a greater extent, and false labeling data in the labeling process is detected by adopting a cross validation method; and repeated annotation of most of data is avoided.

The invention provides a data model construction method, device and apparatus and a computer readable storage medium. The method comprises the steps of continuously splitting each standard data modelin a preset standard data model pool into field units through a preset first thread concurrence strategy, gathering the field units to form a field unit pool, wherein the standard data models comprisedata tables, and the data tables comprise field units; according to the data constraint information in each standard data model, determining a field relationship between field units in the field unitpool and a table relationship between data tables to which the field units belong; and concurrently constructing a target data model corresponding to each scene field group in a preset scene field group pool according to the field unit pool, the field relationship and the table relationship through a preset second thread concurrency strategy. The invention relates to data processing, which can improve construction efficiency of a data model.

The invention discloses a construction method of a standard experimental data set for evaluating encrypted video QoE. The construction method of the standard experimental data set for evaluating the encrypted video QoE is characterized in that a general data acquisition platform is constructed, and the video network data, the video QoE parameters and the user MOS score of a mobile terminal in theprocess of watching the video can be collected at the same time in a single point of a HTTP server through the coordination between a terminal application and the HTTP server, so that the constructionof the standard data set is realized. Because the invention adopts a data acquisition mode combining a distributed feedback path test terminal with the VPN centralized mode and a standard data set construction method based on data flow, therefore, the data acquisition with a mass-packet mode can be conveniently supported by the invention; and the invention is suitable for encrypted and unencrypted video services based on TCP and UDP protocols, and the constructed data set is real and comprehensive, and has good completeness, therefore, the shortages of the data set construction method in theprior art is overcome.

The invention discloses an asset management method based on a digital twinning technology. The method comprises the following specific steps: step 1, creating an information unification platform: constructing a data standard system; and formulating a data standard interface; step 2, creating a 3D structure model of assets; step 3, information display: importing the 3D structure model processed in the step 2 into an information unified platform for display; step 4, querying and positioning asset equipment; step 5, carrying out data analysis; step 6, carrying out asset monitoring, evaluation and monitoring; and step 7,carrying out asset reverse write-back. The method comprises the following steps: creating an information unification platform, constructing a standard data model, establishing a 3D data structure module of assets, importing the 3D data structure module of assets into the information unification platform for unified management, and analyzing and visualizing data. Unified management of enterprise assets is achieved, correct specifications are established, and economic benefits of asset management are improved.

The invention discloses a medical data element automatic classification method and system based on depth map matching. A medical data element graph data model based on minimum metadata information is defined, and the effect of a depth map matching model is also suitable for the condition of local data marsh with extremely low metadata information; the purpose of completing automatic classification of data elements by using the least metadata information is achieved, and meanwhile it is guaranteed that graph structure data collected under the graph data model standard is suitable for training of a depth graph matching model; vector representation of medical data elements is calculated based on a representation learning method, and effective data elements possibly mapped to a standard data model are quickly and automatically screened through classification of the vector representation; and vector representation of column vertexes is calculated based on a graph attention mechanism, and a depth map matching model is constructed to complete automatic classification of medical data elements. The method and the system have good expansibility, and can be applied to processing of various data marsh-to-data lake conversion problems.

The invention discloses a high-precision laser 3D profile detection method of a mobile phone structure piece. The detection method comprises steps of step 1), using a laser measurement device to scan a sample once, setting scanning parameters including laser power, image exposure time and acquisition range, and sampling laser scanning image samples of the sample; step 2), placing a mobile phone structure piece to a moving work bench, fixing a laser measurement head right above the mobile phone structure piece and using a servo motor to drive a work bench support plate to move, thereby finishing the detection, wherein the system finishes the surface profile detection in two seconds, the sampling frequency St=pl / sstep, the pl is the measurement length of a product and the sstep is the sampling step length; step 3), establishing a profile standard data model; and step 4, importing 3D model CAD data before measurement, wherein the data is formed by thousands or tens of thousands of triangular face sheets, and intercepting the slice graph of a 3D model along a path perpendicular to the scanning direction.

The invention discloses a method for establishing a standard academic model, a server and a storage medium. The method comprises the steps that the server obtains object-oriented data of a to-be-analyzed document, the object-oriented data is converted into multi-metadata with a standard format according to a preset conversion rule, indexes corresponding to all the metadata are established, an association relation among all the indexes is obtained, and the standard academic model is established according to the metadata. By unifying all the indexes and the association relation, and the formatsof various kinds of object-oriented data as a standard format, the pressure of a processor when the processor searches for corresponding data can be alleviated, the searching progress is accelerated,the searching speed is increased, and the searching efficiency is improved; by building the association relation among all the indexes, the searching result is more comprehensive and intact, and the user experience is improved.

The invention discloses a DNA hybrid typing database comparison algorithm. The DNA hybrid typing database comparison algorithm comprises two steps of data acquisition and data comparison, wherein thedata acquisition comprises the steps of: S101: receiving various types of data sources, including case data, manual input data and CODIS file data of a laboratory management system are extracted in aninterface mode; and S102:designing a standard Oracle data model based on a DNA hybrid typing database in a data acquisition process, uniformly converting data of different data sources into the standard data model, and establishing a standard data basis for data comparison, wherein the data comparison process is started in a manner of combining a comparison queue with a thread pool. Through the functions of standardized storage, automatic splitting, intelligent analysis, rapid comparison and the like of DNA hybrid sample parting information, existing hybrid samples are fully utilized, experimenters can be reminded of successful comparison in time after successful comparison, more clues are provided for case detection, and rapid case detection is assisted.

The invention discloses a supply chain collaborative web system based on micro-service and big data processing, which comprises a data standardization module used for collecting main data of multiplesystems and carrying out preprocessing and format standardization processing; a system standardized access module which is used for establishing a data exchange standard to support standardized accessof an external system; a service standardized access module which is used for providing a flexible architecture so as to support customizable services; a data integration and sharing module which isused for providing data governance specifications and establishing a multi-level internal and external data integration and sharing mechanism; and a resource integration module which is used for carrying out resource integration by utilizing big data and a data mining means. According to the embodiment of the invention, the method comprises the steps: a standard data model is built at a data level; in the docking level, a standard interface platform is built, and a data docking format and a communication standard are normalized; in the business level, a standard process management template isbuilt, and upstream and downstream resource integration of the supply chain is realized from multiple levels of business, management, operation, data and the like.

An online management system of a data model is used for acquiring model design results in a service system and a full-service unified data center online through a data management assembly, synchronously loading the model design results to a model design tool, and adding a standard data model to the model design tool online to achieve analysis and comparison of physical models. The model design tool is used for carrying out automatic identification analysis, design specification conversion and innovative design on an existing model design result online and uploading the result to the data management assembly for online management, so that online application of the model design specification and the information model is realized, and a means is provided for standard landing; the model designtool can also support design state and operation state model matching monitoring, and online management of the whole process of data model design from design to application is achieved.

The invention provides a subconsciousness depth detection method based on brain waves. The subconsciousness depth detection method comprises the following steps: step 1, collecting basic data and formulating a standard data value; step 2, labeling the standard data value and then performing deep learning; step 3, formulating a standard data model; step 4, collecting to-be-tested data; and step 5,comparing the to-be-detected data with the standard data model to obtain a detection result and feeding back the detection result. The accuracy of subconsciousness state detection is greatly improved.

The invention discloses a credit data output method and device and a medium. The method comprises: obtaining a credit investigation service field of a credit investigation information subject; determining a credit investigation service demand related to auditing the credit investigation information subject; processing data in a data source corresponding to the credit investigation service demand through a pre-constructed credit investigation standard data output model of the credit investigation service field; enabling the data to be related to the credit investigation information subject; and fusing the processing data to output credit data corresponding to the credit investigation service demand. The embodiment of the invention relates to a credit investigation standard data model which is distinguished in various fields and fused by different data sources, data use is more sufficient and simpler, on the basis, credit investigation service requirements can be determined, the service requirements can be met more flexibly, the credit investigation standard data model can be used for data display or index processing and modeling of credit investigation service related work, and the operation is very convenient and simple.

The invention discloses a method for rapidly detecting donkey milk adulteration, which comprises the following steps of: preparing a detection object, a reference substance A and a reference substanceB with the same amount; establishing a standard data model A, establishing a standard data model B, and establishing detection object data and data comparison: comparing the ultrasonic attenuation data A, the ultrasonic attenuation data B and the ultrasonic attenuation data D, and comparing the ultrasonic speed data A, the ultrasonic speed data B and the ultrasonic speed data D; determining whether the ultrasonic attenuation data D is approximate to the ultrasonic attenuation data A or not, determining whether the ultrasonic speed data D is approximate to the ultrasonic speed data A or not, and if the ultrasonic attenuation data D is approximate to the ultrasonic attenuation data A and the ultrasonic speed data D is approximate to the ultrasonic speed data A; and judging that the donkey milk to be detected is not adulterated.

The invention relates to a method for detecting non-geometrical characteristic information of a four-electric engineering part model, which comprises the following steps of: establishing a standard part system based on a railway four-electric BIM information storage standard entity library, defined entity objects, attribute constraints and association relationships; the system is used for matchingand fusing an IFC standard framework; establishing an IFC data model framework based on a railway four-electricity BIM information storage standard; standard detection software of an IFC data model framework based on the railway four-electricity BIM information storage standard is established, the detection software serves as BIM modeling software to obtain entity information, and the superimposed attribute information is properly matched with the standard data model framework; bIM software is adopted to construct a railway four-electricity BIM information model conforming to the standard part framework, and an IFC data format is exported. Based on the international IFC standard, the application and development of the BIM technology in railway four-electric engineering can be further promoted on the premise of expanding the standard information of railway four-electric parts in China.