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

The invention provides a video abstract generating method based on a GIS. The video abstract generating method comprises the first step of acquiring the geographical coordinates of targets in a surveillance video, the second step of enabling the pixel coordinates of the targets in any frame of the surveillance video to correspond to the geographical coordinates in a one-to-one mode, the third step of carrying out edge detecting on the targets in the surveillance video frame by frame to obtain the pixel coordinates of edge features of the targets, the fourth step of recording the pixel coordinates, the geographical coordinates, the shooting time and the frame numbers to a data table, and the fifth step of overlapping the frames one by one to form a vector stream data table changing along with time, converting the original surveillance video into the coordinate value set of the pixel coordinates, the longitude and latitude and the shooting time and storing the coordinate value set into the GIS to form a continuous video abstract of the target object. By means of the video abstract generating method, the data size is effectively reduced, the processing efficiency is improved, the GIS data sources are effectively expanded, and the dynamism and real-time performance of the GIS are promoted.

The embodiment of the invention provides a target object recognition method and device, electronic equipment and a storage medium. The target object recognition method comprises the steps: obtaining avideo image containing a to-be-recognized target object; extracting a key video frame from a plurality of video frames according to the image similarity between different video frames in the plurality of video frames corresponding to the video image; and detecting target object information in the key video frame based on a pre-trained target object detection model. According to the embodiment ofthe invention, the plurality of video frames of the video image are acquired, and the key video frames are extracted based on the image similarity between the video frames, and then the target objectinformation is detected, so that the number of the video frames is ensured, and the speed and accuracy of detecting the target object in the video frames are improved.

The invention discloses a method for collecting road scenes in real time by image-collecting equipment mounted on terminal equipment and transmitting the collected road scenes to a data service center by various paths. The data service center processes and stores the received road scenes and uses the processed road scenes for scene navigation or as public resources for users to download and inquiry by a network. The invention simplifies the collection of the road scenes, enables a common vehicle to be used as a carrier for collecting the road scenes, widens data sources of the road scenes and is more convenient and rapid for the users to obtain road scene data.

The invention discloses an agricultural big-data model. A framework of the model is mainly composed of four parts, namely an agricultural data definition part, a sensor part, a data collection part and a data mining analysis part. Three main data streams, namely organization presentation of agricultural data, sensor data and mining analysis result feedback connect the four parts. The data mining analysis part includes data conversion, data integration, database building and mining analysis. Bases of database building and big-data mining analysis are a distributed architecture and a cloud platform. According to the model, data sources of mining analysis are broadened, analysis functions are deepened, and analysis results are more accurate. From the view of a current stage, application of big data in agriculture includes but is not limited to: agricultural visualization monitoring systems, more-accurate short-term, middle-term and long-term disaster prediction, close integration with agricultural remote sensing, agricultural product circulation systems, agricultural meteorology prediction and agricultural environment change trend prediction.

The invention discloses a data sharing system and method based on a blockchain, a computing device and a storage medium, and the method comprises the steps: calling a data access authorization intelligent contract to judge the access authority of a data user when a data information group of the blockchain receives a data access request; when the access permission requirement is met, returning a data URL address of the data file to the data user; enabling the data management group to call an authorization record evidence storage contract to carry out evidence storage recording on the data access situation of the data user; enabling a cloud storage to return a corresponding data file when receiving a data URL address submitted by a data user; and enabling the data management group to call the blockchain data access evidence storage contract to perform evidence storage recording on the data access record. Through the technical scheme of the invention, the whole data sharing process is recorded and stored, and sufficient and fine authorization management is carried out on data access, so that data abuse is avoided, and sensitive information leakage is avoided.

The invention discloses a face recognition method based on a short video training method. The method comprises the steps of obtaining a short video containing a target human face; identifying and tracking the target human face in the short video, extracting a plurality of target face pictures; extracting feature values for a plurality of extracted target human face images respectively, generatingtarget human face characteristic values corresponding to the target face images respectively; combining a plurality of sets of target human face characteristic values corresponding to the plurality oftarget face pictures, generating a target face characteristic matrix, comparing the target face feature matrix with a preset reference face feature matrix, and verifying the target face. By means ofthe image characteristic value extracting mode, a human face model does not need to be constructed, and accurate recognition of the human face is achieved. Rapid face matching is achieved through an algorithm of rough positioning and fine positioning, and a high-precision recognition algorithm and high anti-counterfeiting performance are achieved.

The invention relates to a method and device for establishing an association relationship and a computer readable storage medium, the method can be applied to a server, and the method comprises the following steps: receiving request information sent by a second client installed on a terminal; wherein the request information comprises sharing information for a to-be-shared target object; wherein the sharing information carries a first account logging in a first client; in response to the request information, obtaining information of the target object, and reading the first account from the sharing information; generating account association information associated with the first account and a second account currently logged in a second client; and sending the account associated information and the information of the target object to a second client. According to the method, the association relationship is established by virtue of the actual sharing behaviors among the users, so that on one hand, the users can select to fill in concise personal information, and the user experience is optimized; and on the other hand, the matching degree of the established association relationship andthe actual situation can be improved.

The invention discloses a data processing method, a data processing device, electronic equipment and a computer readable storage medium. The data processing method comprises steps of obtaining numeralized customer group data corresponding to original customer group data; marking the numeralized customer group data based on preset label rules to obtain label customer group data, the preset label rules including a preset static label rule, a real-time rule label rule and a dynamic fuzzy label rule; and carrying out portrait processing on the label customer group data, and determining target customer group data to be applied to fine marketing. Through the preset label rule with the preset static label rule, the real-time rule label rule and the dynamic fuzzy label rule at the same time, marking of multiple types of data in a business system can be achieved, and therefore potential customer group data can be accurately obtained, and a more accurate refined marketing strategy can be promoted; in addition, the original data is processed through multi-channel aggregation, so data source is greatly expanded.

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 embodiment of the invention provides a test data construction method and a construction system, and the method comprises the steps: collecting test data from different sources, and enabling the test data to comprise interface data, flow data and case combination data; uploading the test data to a unified data resource pool for storage; and classifying the different test data according to a certain rule through machine learning, and combining the classified data obtained after classification to obtain new test data. By collecting and uniformly storing test data from different sources and classifying and combining different test data according to machine learning, new test data are obtained, multiple test data can be quickly and conveniently obtained, the coverage range is wide, and thepreparation efficiency and the coverage rate of the test data are integrally improved.

The invention provides a flight delay prediction method based on a knowledge graph, and the method comprises the steps: obtaining delay prediction data based on the knowledge graph; adding flight plan data into the knowledge graph, namely, creating a plurality of entities and relationships among the entities; analyzing flow control message data from an unstructured text into a structured text; adding the analyzed structured flow control message into the knowledge graph; generating a training set according to the attribute of a flight entity in the knowledge graph, the relation between the flight entity and a way point entity and the relation between the way point entity and the flow control message; and finally, according to the training set, using a machine learning algorithm for training a prediction model, and outputting a flight delay prediction result. Compared with the prior art, the method has the advantages that the data source is complete, the delay condition of the global flight can be effectively predicted, and the accuracy of the prediction result of the flight delay is improved.

The invention relates to the technical field of intelligent mining of fully mechanized coal mining faces, in particular to a fully mechanized coal mining face HCPS man-machine co-fusion intelligent production system with a man-made core. Comprising remote cooperative workers, a VR information system, an AR information system and an intelligent mining physical system, the remote cooperative workers comprise centralized control center operators and production field intelligent inspection personnel, and the centralized control center operators are located in a ground centralized control center and master the global operation condition of a working face through multi-path signal monitoring; the VR information system is a constructed high-simulation virtual mirror image of the fully mechanized coal mining face, is integrated in a ground centralized control center, and provides global three-dimensional visual state information of the fully mechanized coal mining face production system for operators of the centralized control center; the AR information system is a constructed fully mechanized coal mining face virtual-real fusion channel, and provides fully mechanized coal mining face production system localization virtual-real fusion operation and maintenance information for production field intelligent inspection personnel; the intelligent mining physical system comprises intelligent fully mechanized coal mining face equipment.

The invention discloses a data interaction method of a simulation file, which comprises the following steps of: storing simulation data required by simulation calculation, with the simulation data comprising geometric model data, grid model data, a geometric model and grid model associated information; setting data of simulation boundary conditions and an application object, and carrying out simulation calculation; and outputting a simulation calculation result, visualizing the calculation result, and displaying the calculation result through a program page. The invention has the beneficial effects that the boundary conditions are supported to be applied to both grids and geometries, so that the design and simulation become a closed loop, the design model optimization can be guided, and the simulation driving design is realized.

The invention discloses an electronic map construction method and device and an electronic map implementation method and device. The electronic map construction method comprises the following steps: acquiring basic data for constructing the electronic map, wherein the basic data comprises at least one of the following data: flight data, environment data and map data; generating a topological map structure of the electronic map according to the basic data, wherein the topological map structure is composed of topological nodes and edges between the topological nodes, topological geometric primitives of the topological map structure are geometric structures formed by points and edges of a preset number, and the topological geometric primitives amplified by N times can be completely filled with M topological geometric primitives of original sizes; M and N are positive integers greater than 2. The invention has the beneficial effects that the data source of the constructed map can be expanded, the topological nodes and edges in the topological map contain reachable information to the minimum, the occupied storage space is smaller, the proposed topological map structure is convenient to update, the computing resources are saved and the efficiency is improved in navigation and other scenes.

According to the data conversion method and the related equipment, the structured data are converted into the e-mail, so that an e-mail data source is widened, a data interaction channel with other applications is opened, a data conversion channel between the e-mail and other application systems is realized, and the user experience is improved. The method comprises the following steps: acquiring target service data, wherein the target service data is formatted data with central theme description, service initiator characteristics and service receiver characteristics; converting the target business data into target formatted data, wherein the target formatted data is formatted data with a specific structure; and converting the target formatted data into a target e-mail.

The invention relates to a parameter sharing method and system for relay protection setting, a terminal and a storage medium, and belongs to the field of relay protection, and the method comprises the steps: obtaining the current equipment information of the current protected equipment; obtaining multiple pieces of protected equipment information and calculation model numbers corresponding to the protected equipment information from a preset protected equipment library, wherein the calculation model numbers are unique identifiers of current calculation models used for calculating the short-circuit current; according to the current equipment information and the protected equipment information, sequentially calculating and generating a plurality of equipment similarities; according to the maximum value of the equipment similarity, obtaining a calculation model number corresponding to the information of the protected equipment; obtaining a corresponding current calculation model according to the calculation model number; and substituting the current equipment information into the current calculation model to generate the short-circuit current of the current protected equipment. The method has the advantages that the calculated and generated short-circuit current is suitable for being used as the setting value, and the working efficiency is improved.

The invention discloses a method and system for clicking a verification code through a code receiving platform and selenium breakthrough, and relates to the technical field of data protection, and the method specifically comprises the steps: S1, analyzing and positioning an xpath of a clicking verification picture in a browser webpage source code; S2, according to the xpath in the S1, performing screenshot on the verification code picture specified by the page with the click verification code by using selenium; S3, sending the screenshot in the step S2 to a third-party code receiving platform, and receiving a return result; S4, analyzing a returned result in the step S3, and formatting result coordinates in sequence; S5, according to the xpath in the step S1, a selenium control browser positions a mouse on the verification code picture; and S6, according to the coordinates in the step S4, enabling the selenium to click the corresponding positions of the picture verification code in sequence to complete verification. The method and system can improve the capability and effectiveness of the crawler to collect data, and widens the data source.