

Development of a database for asynchronous validation of a tillage combine digital twin
https://doi.org/10.26898/0370-8799-2024-9-10
Abstract
Modern information systems process huge amounts of data, which have a complex structure and require high performance. To work effectively with such data, special software tools called database management systems (DBMS) are used. DBMS are a set of programs and language tools necessary for creating, processing and maintaining databases. Effective data management in a database plays a key role in ensuring its reliability and performance. Microsoft Access is a fully functional relational database system designed to run on the Windows operating system. Access allows you to create complex databases, define the structure of tables and establish relationships between them. It has a powerful system of inqueries, reports and forms of varying complexity. The purpose of the study is to develop a database of machines and implements for basic tillage, reflecting the parameters and characteristics of objects, agrotechnical and energy performance indicators for validating the digital twin of the tillage unit. The components of an augmented database are the tables, forms, reports, queries, macros and modules combined in a single MS Access file. The results of the conducted digital experiment are validated through field tests. The database is cumulative and is designed to store the information entered by the user. Using MS Access, an automated reference and information database of machines and aggregates for basic tillage has been created. The database has a structure that allows you to quickly search, add and edit data. The developed database of energy indicators and parameters of machines and implements for basic tillage allows you to store a large amount of information that is necessary for work in the agricultural sector.
About the Authors
D. V. PopovRussian Federation
Engineer
5, 1st Institutsky proezd, Moscow, 109428
D. A. Mironov
Russian Federation
Candidate of Science in Engineering, Lead Researcher, Laboratory Head
Moscow
R. K. Rasulov
Russian Federation
Junior Researcher
Moscow
A. K. Lamm
Russian Federation
Junior Researcher
Moscow
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Review
For citations:
Popov D.V., Mironov D.A., Rasulov R.K., Lamm A.K. Development of a database for asynchronous validation of a tillage combine digital twin. Siberian Herald of Agricultural Science. 2024;54(9):92-101. https://doi.org/10.26898/0370-8799-2024-9-10