42results about How to "Add data source" patented technology

The invention discloses a currency credit big data monitoring analysis system. The system comprises a client side, a server, a service end and a data end. The client side comprises a client terminal and a software client running on the client terminal, and is used for importing operation data of each financial institution and carrying out collection, cleaning, verification and sorting processing on imported data. The server side is connected with the client side and the data side and used for business logic processing and data processing among the client side, the data side and the server side. The data end is used for realizing distributed storage of the acquired and processed data and providing a high-speed access engine for data extraction and query of the server. The problems of narrowcoverage, low expansibility, insufficient flexibility, poor timeliness, low security and the like in the existing currency credit management and data analysis services can be solved, currency policyand credit policy data acquisition and big data processing can be realized, and efficient utilization and monitoring of the currency policy and credit policy data are realized.

The invention relates to the field of flow automation, and discloses a graph mining and graph distance-based flow recommendation method. The method specifically comprises the following steps: preprocessing, i.e., abstractly labeling an input flow set in the form of a directed graph to obtain a flow sub-graph; discovering a pattern, i.e., decomposing a set output by the preprocessing step to obtain an upstream sub-graph, a candidate node set and confidence by a sub-graph mining and decomposing module, registering the upstream sub-graph, the candidate node set and the confidence as data entries in a pattern list; recommending a flow, i.e., acquiring a reference flow by a recommendation module, comparing the reference flow with the upstream sub-graph in the pattern list, selecting the most matched data entry, and outputting the candidate node corresponding to the most matched data entry as the recommended flow. The method has the advantages of high recommendation efficiency, smaller calculation complexity of the algorithm, high recommendation accuracy, capability of supporting the processing of a complex structure flow and higher application value.

The invention provides a method, a device and a system for improving the precision of comprehensive flight path monitoring data of an airport apron, and the method comprises the steps: obtaining the pixel coordinates of an airplane in an airport apron region in a video image based on intelligent video analysis; determining a conversion relation between the pixel coordinates and the latitude and longitude coordinates; converting pixel coordinates of the airplane in the video image into latitude and longitude coordinates used by a flight path monitoring system; and accessing the latitude and longitude coordinates into the existing flight path data for data fusion to obtain comprehensive flight path data, and monitoring the airplane in the airport apron in real time based on the comprehensive flight path data. According to the invention, the pixel coordinates are efficiently and accurately converted into the latitude and longitude coordinates by adopting an approximate plane mapping and double-sided mapping method, the pixel coordinates of an airplane in a video image are accurately converted into the latitude and longitude coordinates used by a flight path monitoring system, and the precision of latitude and longitude coordinate data is improved; and the precision of the comprehensive track data in the airport apron is effectively improved.

The invention discloses a file downloading method and an information processing device. The method comprises the steps of selecting a file expected to be downloaded; sending the specific information about the file expected to be downloaded to a server, wherein a database is pre-established in the server and is searched for multiple downloading addresses corresponding to the specific information of the file expected to be downloaded, and each downloading address corresponds to one of multiple downloading types; receiving the multiple downloading addresses and the downloading types corresponding to the downloading addresses from the server, wherein the multiple downloading addresses at least include a first downloading address and a second downloading address, the first downloading address corresponds to the first downloading type, the second downloading address corresponds to the second downloading type, and the first downloading type is different from the second downloading type; downloading different data blocks at the same time according to each downloading address and the corresponding downloading type; splicing the different downloaded data blocks into a complete file.

The invention provides a conversion method and device for triple data in a knowledge graph. The conversion method comprises the steps: reading data from a to-be-processed two-dimensional table, and storing the data in a preset data format; obtaining metadata of the data in the to-be-processed two-dimensional table, and generating a triple conversion rule based on the metadata, wherein the metadatais used for describing data in the to-be-processed two-dimensional table; and according to the triad conversion rule, converting the data stored in the preset data format into triad data so as to bestored in a knowledge graph. According to the conversion method and device, the data in the two-dimensional tables of various formats can be converted into the triple data, and the difference of the two-dimensional tables of different formats is shielded, so that the data in the two-dimensional tables of various formats can be used as data sources of the knowledge graph, and the data sources of the knowledge graph are expanded.

The invention provides an electromagnetic frequency spectrum monitoring system and method based on the wireless sensor network, and aims at solving the problem of low accuracy in monitoring of the complex electromagnetic frequency spectrum space in the prior art. The electromagnetic frequency spectrum monitoring system comprises a frequency spectrum management center and N gateway centers in wireless connection, each gateway node is wirelessly connected with one sensing node at least, and each gateway / sensing node is integrated with a frequency spectrum monitoring module. The monitoring methodcomprises that the frequency spectrum management center issues a frequency spectrum monitoring task; each gateway node forwards the initial frequency and termination frequency; the frequency spectrummonitoring module integrated in the gateway node or the frequency spectrum monitoring module integrated in the sensing node connected to the gateway node obtains a frequency spectrum monitoring result and uploads the result; the gateway node forwards the frequency spectrum monitoring result to the frequency spectrum management center; and the frequency spectrum management center draws a frequencyspectrum graph. The frequency spectrum management center can draw the electromagnetic frequency spectrum monitored by the gateway node as well as the electromagnetic frequency spectrum monitored by the sensing node.

The invention provides a rolling bearing fault intelligent diagnosis method and a system. The rolling bearing fault intelligent diagnosis method comprises the following steps that a test signal and aan actual condition signal of bearing vibration are collected; 0-1 standardization processing is carried out on the test signal and the actual condition signal of bearing vibration, and a training setand a test set are divided respectively; an LSTM-softmax network is constructed, and the network is trained by using the test signal to obtain a source network suitable for a test; a dynamic time warping (DTW) distance between the test signal and the actual condition signal is calculated; and a target network is constructed on the basis of migrating all or part of the structure and parameters ofthe source network according to the DTW value, a new network is trained by using the actual condition signal, and finally the target network suitable for an actual working condition is obtained. According to the rolling bearing fault intelligent diagnosis method, the features of the vibration signals can be accurately extracted, and the problem of inaccurate feature extraction due to manual feature selection is avoided; and the problems that full-life-cycle data cannot be obtained under the actual working conditions, available data are few, and an effective diagnosis model is difficult to establish are solved, and the accuracy of fault diagnosis in actual production is improved.

The embodiment of the present invention discloses a hotspot data processing method and its equipment, wherein the method includes the following steps: acquiring the current raw data set stored by multiple data sites within the first preset time period, and determining the hotspot based on the current raw data set The data label information of the data, the data label information includes the word segmentation processing result of the hot data, the key fields in the word segmentation processing result and the data label information of the content set; obtain the same data in the current original data set The first raw data associated with the tag information; obtaining the hotspot data screened from the first raw data, and outputting the hotspot data. By adopting the present invention, the data of multiple data sites can be aggregated and hot data can be automatically generated, the diversity of hot data can be improved, and the generation efficiency of hot data can be improved.

The invention discloses a method, a system and a device for generating groups based on mobile community type network application, which are used for solving the problems of low group member information generation efficiency and influence on group session in the existing technology. In the method, behavior information of each user stored in each mobile communication platform is obtained, wherein the behavior information comprises one or more of information of base stations of a user server, user communication information and information of groups of the user in each mobile platform, for a first user, the information of a second user associated with a first user is determined, and the information of the group members for the first user is generated according to the information of the second user. In the embodiment of the invention, the information of the second user associated with the first user can be obtained from multiple sources, so that data source for generation of group member information is expanded, and generation accuracy rate of group member information can be improved effectively.

The invention discloses a face recognition method based on a short video training method. The method includes: acquiring a short video containing a target face; identifying and tracking the target face in the short video, and extracting several target face pictures; Extracting the feature values ​​of several extracted target face pictures respectively, generating target face feature values ​​corresponding to the target face pictures respectively; combining several groups of target face feature values ​​corresponding to several target face pictures to generate target face features Matrix; compare the target face feature matrix with the preset reference face feature matrix to verify the target face. The present invention realizes accurate face recognition through the method of image feature value extraction without constructing a face model, and realizes fast face matching through rough positioning and fine positioning algorithms. The present invention has high precision identification algorithm and high anti-counterfeiting performance.

The present invention provides a method, device and system for improving the accuracy of airfield integrated flight track monitoring data. The method includes, based on intelligent video analysis, obtaining the pixel coordinates of aircraft in the airfield area in the video image; determining the pixel coordinates and latitude and longitude Coordinate conversion relationship; convert the pixel coordinates of the aircraft in the video image into the latitude and longitude coordinates used by the track monitoring system; connect the latitude and longitude coordinates to the existing track data for data fusion, and obtain comprehensive track data, based on the integrated track Data, real-time monitoring of aircraft on the apron. The present invention proposes the method of approximate planar mapping and double-sided mapping to realize the efficient and accurate conversion of pixel coordinates to longitude and latitude coordinates, realize the precise conversion of the pixel coordinates of the aircraft in the video image into the longitude and latitude coordinates used by the track monitoring system, and improve the The accuracy of the longitude and latitude coordinate data is improved, and the accuracy of the comprehensive track data in the apron is effectively improved.

The invention provides a simulation performance evaluation method of a satellite navigation ground-based augmentation system, which extracts observation data, statistically calculates the error function related to the satellite elevation angle, and establishes an error model; performs satellite position positioning and calculation through ephemeris and time, and obtains the observation time Calculate the broadcast pseudo-range correction amount corresponding to the satellite position; obtain the positioning error, obtain the calculation result of the protection level, and obtain the evaluation results of the accuracy, availability and integrity of the GBAS system through the positioning error and protection level results obtained through statistics. The invention avoids spending a lot of economic cost and time cost to install and test the field equipment, improves the efficiency of iterating and improving new methods and equipment, and greatly saves the cost of actual testing.

The invention discloses an intelligent identification method and system for damage of an oil-gas bed based on factor expression. The method comprises the following steps that (a) damage factors of different reservoir types, conditions and reservoir characteristics are represented qualitatively and quantitatively in a unified manner by using a factor expression method; (b) a prerequisite classification tree of oil-gas bed damage identification is established by combining oil-gas bed damage factors with semantic transformation; (c) the prerequisite classification tree is used to establish a damage identification database with an intermediate conclusion node; and (d) different sensitive data via factor expression is used to calculate proportion of a condition component, accuracy and a threshold in the damage identification database, the intermediate conclusion node is analyzed and determined, and a two-layer knowledge tree is used to obtain data of different damage types and degrees of the oil-gas bed. The method and system have the advantages that data expression is unified, the inference complexity is low, the inference efficiency is high and the conclusion accuracy is high.