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

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 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 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.