{"title":"Modelling of the technological systems projects of harvesting agricultural crops","authors":"P. Lub, V. Pukas, A. Sharybura, O. Lysiuk","doi":"10.1109/STC-CSIT.2019.8929815","DOIUrl":null,"url":null,"abstract":"The components of the technological systems project environment of agricultural crops harvesting are analyzed. The components that need to be taken into account during the development of the crop harvesting technological systems projects are singled out. The methods of observations and computers experiments are described. The projects efficiency indicators of harvesting technological systems are established. For this purpose, the regularities of the functional indicator dependencies of the sugar beets harvesting technological processes are used. The determinations of these dependencies were achieved with statistical modeling methods with multiple projects iteration of the corresponding technological systems. This made it possible to take into account the influence of stochastic factors in the project environment and to obtain the functional indicators in a probabilistic way. Computer experiments were executed and their results were processed using mathematical statistics methods. The dependence of the mathematical expectation estimates of the unharvested area's volume from the launch time of sugar beet harvesting projects and their production area for the given combines is established. The obtained dependencies were used for optimization calculations and their results are presented. According to these results, the optimal value of the production area will vary at different times of project launch time and unchanged technical support for crops harvesting projects.","PeriodicalId":271237,"journal":{"name":"2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STC-CSIT.2019.8929815","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
The components of the technological systems project environment of agricultural crops harvesting are analyzed. The components that need to be taken into account during the development of the crop harvesting technological systems projects are singled out. The methods of observations and computers experiments are described. The projects efficiency indicators of harvesting technological systems are established. For this purpose, the regularities of the functional indicator dependencies of the sugar beets harvesting technological processes are used. The determinations of these dependencies were achieved with statistical modeling methods with multiple projects iteration of the corresponding technological systems. This made it possible to take into account the influence of stochastic factors in the project environment and to obtain the functional indicators in a probabilistic way. Computer experiments were executed and their results were processed using mathematical statistics methods. The dependence of the mathematical expectation estimates of the unharvested area's volume from the launch time of sugar beet harvesting projects and their production area for the given combines is established. The obtained dependencies were used for optimization calculations and their results are presented. According to these results, the optimal value of the production area will vary at different times of project launch time and unchanged technical support for crops harvesting projects.