Method for integration processing of comprehensive track data

A technology of data fusion and processing methods, which is applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., and can solve problems such as the inability to fully realize the comprehensive information fusion and exchange process of track and flight plan.

Inactive Publication Date: 2016-04-20
THE SECOND RES INST OF CIVIL AVIATION ADMINISTRATION OF CHINA
View PDF2 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the handover of OLDI and AIDC control information in Europe and Asia-Pacific, OLDI and AIDC can only meet part of the information exchan

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for integration processing of comprehensive track data
  • Method for integration processing of comprehensive track data
  • Method for integration processing of comprehensive track data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0158] Embodiment 1: In step 2, the time synchronization operation is performed on the normal data output by different control centers through the least squares time registration method, and the process of time synchronizing the comprehensive data at different periods and at different times is: Assumption a, ( , is a natural number) is the adjacent control center, and its comprehensive track data output period is respectively and , and the ratio of the two is (n is a positive integer), if the control center a’s latest comprehensive track output time for the target state is ( , is a natural number), the next integrated track output time is , which means that the control center a between two consecutive outputs of the integrated track of the target state Have Secondary integrated track output. control center by the method of least squares of The second integrated track data is fitted into a virtual integrated track data as the first of the moment int...

Embodiment 2

[0175] Embodiment 2: The error processing in step 3 includes random error processing (random error can be well eliminated by the fusion algorithm during the fusion process) and system error processing. The random error is caused by the precision error factor of each monitoring equipment in the control center; the system error is caused by the coordinate conversion formula using the approximate algorithm and other factors. Random errors can be eliminated very well through fusion algorithms during the fusion process, while systematic errors are a kind of fixed errors that cannot be automatically eliminated by fusion algorithms. They must be estimated during the implementation process, and error compensation is performed on each control center to eliminate Registration error.

[0176] The systematic error is registered using the least squares method. The specific method is: within a period of time, the same target appears in the overlapping area of ​​the control areas of the two...

Embodiment 3

[0191] Embodiment 3: In the step 5, the integrated track data fusion of the normal data is carried out by using the federated filter no-resetmode (NR) algorithm, and the specific steps are:

[0192] (3) Establish a mathematical model

[0193] Target motion state equation and measurement equation:

[0194] (1-1)

[0195] in: is the first The system state vector at time, is the state transition matrix of the system (note: here denote real vector spaces and real matrix spaces). is the measurement vector of the control center system (that is, the integrated track data output by the control center), Measurement matrix for the control center system, assuming is the control center system noise vector, is the control center system measurement noise vector, where and is Gaussian white noise with 0 mean value, then:

[0196] , , (1-2)

[0197] (1-3)

[0198]

[0199] (Note: k and j here represent time and are both positive real numbers) represents the...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the field of control center data processing and especially relates to a method for integration processing of comprehensive track data. The method aims to solve the technical problem that the invention discloses a method for the integration processing of the comprehensive track data aiming at problems existing in the prior art, wherein flight tracks output by control center systems are integrated; flight plan tracks are established; relevant information is output according to demands of control centers; and thus comprehensive information integration among the control centers is realized. The method provided by the invention is characterized in that the data of each control center is analyzed and treated by time rectification, space rectification and quality analysis; then normal data, laggard data and abnormal data are processed separately; and thus the comprehensive track data integration is realized.

Description

technical field [0001] The invention relates to the field of control centerware data processing, in particular to a method for fusion processing of integrated track data. Background technique [0002] The automation system of the NAS system in the United States is a system of one manufacturer. The system is designed, integrated and operated in a unified manner. The FDP (flight data processor) data between ARTCC, TRACC and OCEAN is consistent and synchronized, information is automatically exchanged, and the system is tightly coupled. The new ERAM (EnRouteAutomationModernization ) as a model and an important support for NextGen. By formulating and establishing OLDI (On-LineDataInterchange) as a control transfer and data exchange protocol between control centers in Europe, and formulating technical standards and communication protocols for systems, interfaces and related systems, automatic control transfer, data synchronization and system interconnection have been realized. It...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/30
Inventor 杨晓嘉郭宁高静张勇周彬
Owner THE SECOND RES INST OF CIVIL AVIATION ADMINISTRATION OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap