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AN APPLICATION OF PETRI NETS IN TECHNOLOGICAL PROCESS SYNTHESIS ISSUES ON AGRICULTURE |
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| รหัสดีโอไอ | |
| Creator | D.A. Petrosov, V.A. Ignatenko, S.D. Litsukov, V.G. Feklin , A.N. Zelenina , A.V. Kochegarov |
| Title | AN APPLICATION OF PETRI NETS IN TECHNOLOGICAL PROCESS SYNTHESIS ISSUES ON AGRICULTURE |
| Contributor | - |
| Publisher | TuEngr Group |
| Publication Year | 2562 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 10 |
| Journal No. | 11 |
| Page no. | 10A11J: 1-13 |
| Keyword | GA Operator, Simulation modeling, The theory of Petri Nets, Genetic algorithm, Modern agriculture. |
| URL Website | http://tuengr.com/Vol10_11.html |
| Website title | ITJEMAST V10(11) 2019 @ TuEngr.com |
| ISSN | 2228-9860 |
| Abstract | Modern agriculture aims at product quantity and quality increase, with cost reduction, achievable through technology development, machinery, and creation of modern intelligent decision support systems aimed at technological process synthesis based on the economic, human, technical and technological resources. The development of new models and methods capable of solving the problems of structural and parametric synthesis will increase the speed without resorting to significant economic costs associated with computing device productive capacity increase. This paper uses three modern trends: simulation modeling, evolutionary methods and Petri net theory (allowing combining all trends by one mathematical apparatus that supports both software and hardware implementations). The genetic algorithm is adapted using embedded Petri nets and expert knowledge. To synthesize technological process for winter wheat cultivation, it proposes to use the common IDEF3 methodology, making it possible to identify the branch points. This study creates a unified model that greatly simplifies the process of software and hardware implementation of an intelligent decision support system. The simulation of technological process models is obtained as a result of intellectual synthesis using PIPE4 open software. After the computational experiment, the obtained models for winter wheat growing correspond to a given criterion of economic benefits for conventional agricultural enterprises. |