Method and apparatus for acquiring and processing transducer data

Abstract

A method and apparatus for correlating raw transducer data in a system of transducers communicates transducer data in a common format. Transducer data and relationships between transducers are characterized in a common format, and interdependencies of transducers are defined for modeling a system. The data is time correlated from the various transducers. Data is archived, updated and exchanged without being corrupted.

Description

REFERENCE TO RELATED APPLICATIONS[0001]This application is a continuation of U.S. patent application Ser. No. 10 / 674,828 which was filed on Oct. 1, 2003 which claimed the benefit of and which was related to Provisional Application Ser. Nos. 60 / 415,772 filed Oct. 4, 2002, and 60 / 505,729 filed Sep. 26, 2003, the teachings of which are incorporated herein by reference, word for word and paragraph for paragraph.GOVERNMENT RIGHTS[0002]This invention was made pursuant to U.S. Government contract nos. F33615-03-C-1437 (USAF); F33615-02-M-1189 (USAF); and DASG 60-030P-0280 (U.S. Army Space and Missile Defense Command).REFERENCE[0003]Submitted herewith are two duplicate Compact Disks which include a file called “TML Specification 09 Beta 2.Doc”, the material of which is fully and completely incorporated herein by reference. The files were created on Aug. 25, 2003 and each contain 2.621 Mega Bytes.BACKGROUND OF THE INVENTION[0004]The present invention pertains to a method for establishing a c...

AI Technical Summary

Problems solved by technology

However, current standards'do not meet the accuracy and efficiency requirements for capturing in real-time multi-sensor data.

Indeed, the failure to characterize data as sensor data misdirects the task and undermines the objectives of efficient and effective data capture.

However, the data is difficult to correlate because data from one type of transducer may be incompatable with the data from other types of transducers, and it is necessary to reconfigure the expression of the data in order to facilitate their utilization.

Such reconfiguration sometimes results in a corruption of the data from its original form, which in turn results in a loss of accuracy.

Such organization requires the generation of meta-data, i.e. data about data, having a complexity which increases as the complexity of the expressed form of the transducer data increases.

This complex meta-data consumes valuable processor memory and diminishes processor efficiency.

This form of data acquisition results in high processor overhead, and is inefficient and inconvenient to handle.

Finally, it is difficult to transmit large amounts of data in an efficient manner, especially where the large amounts of complex meta-data are involved.

Here too, complexities associated with the diverse expression of data increase communications system requirements, particularly bandwidth and processor speed.

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