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Methods of secondary information transformation for the evaluating of object’s spatial orientation

Authors :
I. V. Ryzhkov
Source :
Vìsnik Pridnìprovsʹkoï Deržavnoï Akademìï Budìvnictva ta Arhìtekturi, Vol 1, Iss 5, Pp 91-98 (2019)
Publication Year :
2019
Publisher :
SHEE Prydniprovska State Academy of Civil Engineering and Architecture, 2019.

Abstract

Today, systems in which it is necessary to evaluate the parameters of the spatial orientation of objects are widely used . Examples of such systems are computer systems (CS) for drilling control during geological exploration, seismic hazard prediction systems, diagnostic systems in nuclear energy, and others. Such an assessment is carried out, as a rule, by the software and hardware components of the spatial orientation assessment (SHCSOA) included in specialized CSs and are intended for primary and secondary transformation of information. In this case, the bias of the orientation estimation determines the efficiency of the use of the CS. A number of SHCSOA works in difficult conditions, characterized by the presence of vibration and magnetic anomalies, instability of the temperature, etc., with severe restrictions on the size of the primary sensors (PS). An analysis of the existing PAKOPOs showed that the need to ensure the orientation estimation is sufficient for the needs of the practice leads to an increase in the resource of the CS as a whole, which significantly narrows their scope. This gives rise to a contradiction between the efficiency and resource intensity of SHCSOA and specialized CSs. Purpose. To resolve this contradiction, this paper proposes methods for the secondary conversion of measurement information, which can provide a given bias and increase the efficiency of assessing the spatial orientation of objects. Conclusion. By mathematical modeling of the PS, as well as by preliminary determination of the instrumental errors of the PS and the parameters of the external magnetic anomalies, methods of secondary processing of information are proposed that can significantly reduce the bias in the estimation of the spatial orientation of objects using SHCSOA as part of specialized CS.

Details

ISSN :
23122676
Database :
OpenAIRE
Journal :
Bulletin of Prydniprovs’ka State Academy of Civil Engineering and Architecture
Accession number :
edsair.doi.dedup.....3b21ee1bb27c331e538e0dbc016dd980
Full Text :
https://doi.org/10.30838/j.bpsacea.2312.221019.92.527