175results about How to "Guarantee data quality" patented technology

The invention discloses a blockchain trusted data management method and system, and a computer readable storage medium. The blockchain trusted data management method comprises the following steps that: a blockchain operator checks the to-be-checked data of a trusted data provider according to a checking request sent from the trusted data provider; if a confirmation result shows that the to-be-checked data is qualified, the blockchain operator endows the trusted data provider with the management permission for managing a trusted data source, and registers the trusted data provider into a trusted data management center; and when the trusted data provider is successfully registered to the trusted data management center, the trusted data provider triggers and registers the registration transaction of the trusted data source, and the trusted data source is registered to the trusted data management center so as to enable a participant in a blockchain network to obtain trusted data corresponding to the trusted data source through the trusted data management center. By use of the method, the authenticity and the effectiveness of the data of the trusted data source in a blockchain system are guaranteed.

The invention belongs to the field of laser radar measuring, and particularly discloses a road feature extracting method based on fracture surface subdivision. The method comprises the step of obtaining laser scanning point cloud data through a laser radar measuring device, the step of determining a road feature guide line and extracting road feature nearby point cloud data, the step of generating subdivision sections according to the road feature guide line and a certain step length and calculating the coordinates of proximal point clouds in a subdivision section coordinate system to finish fracture surface subdivision of laser point clouds, the step of selecting one subdivision section with integrated feature information and generating a road feature point cloud template in which a user is interest, the step of determining final conversion model parameters of the road feature point cloud template and the subdivision section point clouds, and the step of calculating the space coordinates of road features, extracting needed features according to the characters of the road features and finally finishing measuring and extracting of the road features. The idea of the fracture surface subdivision is introduced, the complex road features are automatically measured and extracted, the working efficiency is remarkably improved on the premise of guaranteeing measuring precision, and the method has remarkable economic and social benefits.

The invention provides a test data automatic generation device and a test data automatic generation method. The test data automatic generation device comprises a data storage unit, a sample data extraction unit, a data analysis unit, a test path generation unit, a data path generation unit and a test data generation unit, wherein the data storage unit stores a test object, metadata relation information and metadata dictionary value; the sample data extraction unit obtains sample data according to the metadata relation information; the data analysis unit performs hierarchical analysis on the test object according to the metadata dictionary value to obtain the Boolean matrix and the Boolean list; according to the pruning strategy, the test path generation unit treats the redundant parts and the conflict parts of the Boolean matrix and the Boolean list to obtain nodes of a test path, as well as the valid data range and the invalid data range of the Boolean list; according to the test object and the metadata relation information, the data path generation unit obtains nodes of a data path and generates node data of the data path by utilizing the nodes of the data path, the sample data, as well as the valid data range and the invalid data range of the Boolean list; the test data generation unit completes automatic generation of the test data according to the node data of the data path.

The invention discloses an online recognition and filling method for the hourly energy consumption abnormality data of an office building, and the method comprises the following steps: obtaining historical energy consumption data; clearing the historical energy consumption data, and eliminating the abnormality data; building an energy consumption mode feature set according to the outdoor temperature, moment and date attributes of the hourly energy consumption data, and calculating a feature value; collecting the energy consumption data hour by hour, carrying out the energy consumption mode matching, and finding a corresponding feature value; carrying out the online recognition of abnormal data; carrying out the cyclic interpolation of the abnormality data, and carrying out the correction of the interpolation value through a formula; storing the data without abnormality into a database after interpolation; carrying out the rolling correction of the feature values of the energy consumption mode regularly, and then carrying out the online interpolation of the hourly energy consumption data. The method can solve a problem of the recognition and interpolation of the usual abnormality data in the hourly energy consumption of the office building, improves the energy consumption data quality, provides effective data for the further data mining, and promotes the development of the energy saving operation of the building.

A network system, enabling the quality of the data to be ensured and efficient use can be made of the network, including at least one network relay apparatus provided with a discriminating unit for discriminating the type of data transmitted, a selecting unit for selecting the optimal route for each string of data in accordance with the discriminated type and destination, and a holding unit for holding the optimal routing information for each type of data and destination and sending received data toward the optimal route.

The invention discloses an acquisition task priority scheduling control method for an electricity information acquisition terminal. Due to the fact that the type and number of data acquired by an existing acquisition terminal are more and more, acquisition task conflicts are generated in the key working stage of the acquisition terminal, and the key data acquisition success rate of the acquisition terminal is influenced seriously. According to the technical scheme, the method comprises the steps that a main station sends an acquisition scheme for configuring acquisition priorities to acquisition tasks to the acquisition terminal, a passive meter reading mode is adopted by an acquisition terminal router, and meters request the acquisition terminal to read data in turns according to meter records configured in the router; the acquisition terminal conducts meter reading according to the task superlative strategy; and all the meters request the acquisition terminal to read data in turns again, and the acquisition terminal continues to conduct meter reading according to the task preference strategy. According to the acquisition task priority scheduling control method, a data acquisition task scheduling function of the terminal is optimized according to the acquisition task priorities; and by configuring different acquisition priorities to different acquisition tasks, the acquisition efficiency and acquisition success rate of important data can be guaranteed.

The invention provides a WEB data bank selection method based on WDB (World Data Bank) characteristics and user query requests, which comprises steps of: (1) a feature extraction method of a WDB query interface, (2) the relevancy computation of a WDB and user queries based on the WDB characteristics, (3) the estimation of data volume meeting the user queries, (4) redundancy estimation based on the WDB characteristics, and (5) a selection method of data sources based on WDB characteristics and user queries; and through the methods, first questions of data integration and the provision of a high-efficiency data retrieval strategy in a Deep Web field are solved. Aiming at realizing more data returning at lower cost by selecting a most appropriate data bank for querying when facing mass Web data banks, the invention provides a Web data bank characteristic expression and extraction method based on a Web data bank independent sample and the data source selection method combining with the comprehensive consideration of three elements of query relevancy, returned data volume and data redundancy so as to realize the selection of a WEB data bank based on the WDB characteristics and the user queries and better meet the requirements of an integrated system.

The invention discloses a method for forecasting an influence range of a highway traffic incident on the basis of microscopic simulation and relates to the technical field of forecasting on the influence range of the traffic incident. The embodiment of the invention provides the following technical scheme that forecast future traffic demand data and traffic incident information are loaded a micro traffic simulation platform, and micro behaviors such as response, deceleration, queuing and the like of a vehicle in the traffic incident are simulated by a micro traffic simulation model so as to forecast the influence range of highway traffic time. Compared with a method for forecasting the influence range of the highway traffic incident on the basis of a traffic-wave theory, the forecasting method provided by the invention is obvious improved in precision and accuracy of estimating the influence range of the traffic incident; moreover, according to the embodiment of the invention, data is not limited to the arrangement condition of a vehicle detector, the application range is obviously enlarged, and the method is more suitable for forecasting the influence range of the highway networked traffic incident.

The invention discloses an application report form realization method based on a Hadoop platform. The method includes: carrying out extraction and conversion processing on source data stored in an HDFS, then loading the data into a data form of a near-source layer of a data warehouse, and extracting data therefrom for data quality verification; if verification is successful, carrying out conversion processing on the extracted data, then loading the data into a data form of a model layer of the data warehouse, and then extracting data therefrom for data quality verification; if verification issuccessful, carrying out conversion processing on the extracted data, and then loading the data into a data form of an application layer of the data warehouse; and carrying out data quality verification on data in the data form of the application layer, if verification is successful, using the data form of the application layer as a to-be-reported application report form, and otherwise, issuing averification anomaly alarm. The invention also discloses application report form realization equipment based on the Hadoop platform and a computer-readable storage medium. According to the method, massive data submission can be realized under low-cost hardware resources, and high-data-quality submission requirements are satisfied.

The invention discloses a crowdsourcing sensing method and system for quality sensitive geographical regional information. A platform provides a sensing task of multiple sampling interesting points in a geographical region. Contract-issuing parties submit sensing task sets of required interesting points, corresponding quality coverage demands and prices to the platform. Participants submit interesting point sensing task sets of sensing scopes according to the locations where the participants are situated, corresponding quality indexes and prices. The work with the quality coverage demands not satisfied by all participants and the work with monopoly participants are eliminated according to the sorting mechanism of the contract-issuing parties in combination with the feasibility analysis method, so as to select contract-issuing party winner set and determine the actual payment amount of the contract-issuing party winners. Based on a participant sorting mechanism, a set of participant winners who satisfy quality coverage demands with lower total price is selected. Based on a pricing mechanism, the payment for the participant winners is determined. If the budget balance is met, the participant set that just satisfies the quality coverage demand is allocated to the corresponding contract-issuing party winner as possible through the allocation mechanism.

The invention discloses a method for realizing mass sensitivity-based incentive mechanisms in mobile crowdsourcing systems. The method comprises the following steps: distributing a task by a distributor through a platform; preliminarily screening participants by the platform; participating by the screened participants through a competitive bidding way; sending data to the platform by the participants which satisfy secondary screening of the platform; carrying out quality detection on the data by the platform so as to obtain data reliability; scoring the data by the distributor; and finally closing the deal. According to the method provided by the invention, a game mechanism-based validation method is adopted and the scores of the distributor are validated through players. Finally, the platform updates the reputation degrees of the distributor and the players through the factors such as the reliability value of the data, the scores of the distributor, the credit rank of the distributor and the like. According to the method provided by the invention, the behaviors of the users in the mobile crowdsourcing systems can be effectively stimulated and the data quality is improved.

The invention discloses a population distribution calculation method. The method includes: firstly, preprocessing a mobile phone base station and on-line population distribution thermodynamic map datain a research area, wherein the Tyson polygon set is established for the base station data of the mobile phone, which is denoted by S; capturing the original point data of the online population distribution thermodynamic map of the corresponding area, and generating the grid data of the population distribution density by using the kernel density method, which is recorded as Z; secondly, finding the corresponding maximum points of online population distribution thermodynamic map for each plot in set S; and then forming a maximum point data set M; Finally, a new population thermodynamic map isgenerated by using the point data set M and the point kernel density algorithm. The invention integrates the characteristics of online population distribution thermodynamic map and mobile phone signaling data, can utilize different types of population thermodynamic map data to improve the accuracy of population distribution calculation, and provides decision basis for urban planning and traffic management.

The invention discloses a metabolism group method for distinguishing false positive mass spectra peak signals and quantificationally correcting mass spectra peak area. The invention provides a metabolism group study method; by the method, the biological source and non-biological source mass spectra peak signals can be effectively distinguished; the mass spectra peak signals are quantificationally evaluated; the mass spectra peaks with poor quantification performance are excluded; through QC sample dilution, a relative content correction model is built; the mass spectra peak area is corrected. The method has the maximum characteristics that the false positive mass spectra signals can be effectively eliminated, so that the metabolism group data becomes reliable; the real biomarkers can be favorably screened. The method can aim at plant, animal and microbe samples; the method can also be suitable for the mass-spectra-platform-based metabolism group analysis of GC-MS, LC-MS and CE-MS.

The invention discloses an automatic verification method for clinical test source data. The method comprises steps that an obtained source data image of a clinical test is identified through utilizinga CTPN network model, the text area is determined, and the text area is cut to obtain lines of text; vertical projection column cutting for each line of the text is performed to obtain the valid textarea of each line of the text; a set of valid text areas is sequentially inputted into the trained CRNN network to obtain the variable length sequence identification result, and a regular expressionis utilized to extract the text identification result; the text identification result is corrected to obtain the error correction result; feature values are extracted from the error correction resultone by one according to a feature value set, the feature values are compared with standard feature values recorded in a database, the extracted feature values inconsistent with the standard feature values are marked in an alarm state, and an error reminder is formed. The method is advantaged in that CPTN and CRNN are used as the core to carry out clinical test source data image text identification, and then automatic data verification is achieved.

The embodiment of the invention provides a navigation electronic map-based method and a navigation electronic map-based device for generating a TMC matching table, which relate to the field of traffic information service and can automatically generate the TMC matching table. The invention adopts the following solution that the method comprises the following steps: inputting an electronic map file and a TMC position table file; automatically matching each link with each position point according to the input electronic map file and TMC position table file; and performing attribute assignment for each link according to a matching relationship so as to acquire the TMC matching table. The embodiment of the invention is used for generating the TMC matching table.

The present invention discloses a data compliance management method and system, so as to solve the problem of being unable to timely and accurately dirty data in the prior art. The method comprises: firstly, analyzing the category of data, and categorizing the data into a corresponding data compliance set; and further, searching and recognizing data in the data compliance set, so as to recognize dirty data, so as to further modify the dirty data. By the data compliance management method disclosed by the present invention, the dirty data in a network database is processed, and the dirty data is converted into data that meets a data quality requirement by data compliance, so that data exchange between data nodes is achieved, data quality is ensured, the processing period of data compliance is shortened, the efficiency of data compliance is improved, and meanwhile the consistency of data systems is effectively ensured.

The invention provides a xenon source virtual point source scale device based on a point source efficiency function. The device comprises radioactive xenon sources, a standard mixing point source and a detector; the radioactive xenon sources are located at different heights over the detector; the standard mixing point source is located at the corresponding height over the detector; energy of rays emitted by the standard mixing point source must cover or approach to energy of rays emitted by the radioactive xenon sources. The 170Tm point source of long half-life is selected to be placed at the virtual point position of a 133Xe and isotope gas source of short half-life to simulate the efficiency of the scale radioactive 133Xe sources, and the problem that as some standard 133Xe and isotopes are short in half-life in actual working process, the use time is short can be solved.

The invention provides a three point bending fatigue testing apparatus, which can enrich the functions of a tensile fatigue testing machine so that the tensile fatigue testing machine can carry out three point bending fatigue tests. A rotatable clamping mechanism design is adopted; the bending fatigue tests with a negative stress ratio can be carried out effectively, the boundary conditions of a three point bending experiment can be satisfied, the experiment range is enlarged; a conventional three point clamp is optimized, the apparatus cost is reduced, and the sample positioning problem is solved. The adopted clamping structure can prevent a test piece from sliding during the long term fatigue experiment process; the upper clamping structure of the clamping structure is adjustable so as to clamp test pieces with different thicknesses; the clamping structure is composed of a roller and a trapezoidal block; the roller is in line contact with a test piece during the experiment process and is convenient to replace so as to guarantee the experiment accuracy; the trapezoidal block can prevent the interference on the test piece during the experiment process; and a load can be effectively applied on the test piece during the bending fatigue experiment process (with a negative stress ratio) through the combination of an upper press head and a lower press head.

The invention relates to the internet information processing field, and especially relates to an enterprise geographic information query and display system. The system comprises a client and a server; the client is in communication connection with the server; and the client adopts a way of asynchronous display to realize the query and display of enterprise geographic information. The system of the invention takes an enterprise as a specialized analysis object, establishes the function of data storage, reading and displaying for the enterprise geographic information query and display, and fills a technical vacancy that services are not specifically provided for providing map information for the enterprise; and the client adopts a way of asynchronous loading to realize the display of the enterprise geographic information, so that the fluency is ensured and user experience is improve; in addition, at least two map platform interfaces are called at the server to acquire geographic latitude and longitude information, so as to realize mutual authentication and completion of data, and guarantee the data quality; and besides, ElasticSearch is also used as the basis of data storage and index, which can realize real-time search and meet the needs of multi-users use.

The invention discloses a test method and system of suitability of soil heavy metal of an agricultural regional plot of land, belonging to the technical field of soil test. The method comprises the following steps of: S1, according to a random sampling way, selecting preset number of sampling nodes, obtaining the multivariate data of each sampling node, and recording the coordinate data of all sampling nodes; S2, respectively carrying out data processing for data of each attribute in the multivariate data to eliminate abnormal data; S3, respectively interpolating and fitting the data of each attribute to obtain a multi-index evaluation data set for representing an range of an agricultural regional plot of land to be tested; S4, and determining the soil pollution degree of the range of the agricultural regional plot of land to be tested according to the multi-index evaluation data set. The invention provides a data processing flow method relative to improving the reasonable test for soil heavy metal of the regional plot of land. The data quality can be effectively ensured, meanwhile the data processing accuracy is increased, and therefore the test accuracy of the heavy metal soil of the agricultural regional plot of land is increased.