A Novel Agricultural Machinery Intelligent Design System Based on Integrating Image Processing and Knowledge Reasoning
Agricultural machinery intelligence is the inevitable direction of agricultural machinery design, and the systems in these designs are important tools. In this paper, to address the problem of low processing power of traditional agricultural machinery design systems in analyzing data, such as fit, t...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/15/7900 |
| _version_ | 1827625941417852928 |
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| author | Cheng’en Li Yunchao Tang Xiangjun Zou Po Zhang Junqiang Lin Guoping Lian Yaoqiang Pan |
| author_facet | Cheng’en Li Yunchao Tang Xiangjun Zou Po Zhang Junqiang Lin Guoping Lian Yaoqiang Pan |
| author_sort | Cheng’en Li |
| collection | DOAJ |
| description | Agricultural machinery intelligence is the inevitable direction of agricultural machinery design, and the systems in these designs are important tools. In this paper, to address the problem of low processing power of traditional agricultural machinery design systems in analyzing data, such as fit, tolerance, interchangeability, and the assembly process, as well as to overcome the disadvantages of the high cost of intelligent design modules, lack of data compatibility, and inconsistency between modules, a novel agricultural machinery intelligent design system integrating image processing and knowledge reasoning is constructed. An image-processing algorithm and trigger are used to detect the feature parameters of key parts of agricultural machinery and build a virtual prototype. At the same time, a special knowledge base of agricultural machinery is constructed to analyze the test data of the virtual prototype. The results of practical application and software evaluation of third-party institutions show that the system improves the efficiency of intelligent design in key parts of agricultural machinery by approximately 20%, reduces the operation error rate of personnel by approximately 40% and the consumption of computer resources by approximately 30%, and greatly reduces the purchase cost of intelligent design systems to provide a reference for intelligent design to guide actual production. |
| first_indexed | 2024-03-09T12:45:46Z |
| format | Article |
| id | doaj.art-580a2d8fc9194fe593a37d3a66cd5bdb |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T12:45:46Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-580a2d8fc9194fe593a37d3a66cd5bdb2023-11-30T22:12:14ZengMDPI AGApplied Sciences2076-34172022-08-011215790010.3390/app12157900A Novel Agricultural Machinery Intelligent Design System Based on Integrating Image Processing and Knowledge ReasoningCheng’en Li0Yunchao Tang1Xiangjun Zou2Po Zhang3Junqiang Lin4Guoping Lian5Yaoqiang Pan6College of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Urban and Rural Construction, Zhongkai University of Agriculture and Engineering, Guangzhou 510006, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaDepartment of Chemical Engineering, University of Surrey, Guildford GU2 7XH, UKCollege of Engineering, South China Agricultural University, Guangzhou 510642, ChinaAgricultural machinery intelligence is the inevitable direction of agricultural machinery design, and the systems in these designs are important tools. In this paper, to address the problem of low processing power of traditional agricultural machinery design systems in analyzing data, such as fit, tolerance, interchangeability, and the assembly process, as well as to overcome the disadvantages of the high cost of intelligent design modules, lack of data compatibility, and inconsistency between modules, a novel agricultural machinery intelligent design system integrating image processing and knowledge reasoning is constructed. An image-processing algorithm and trigger are used to detect the feature parameters of key parts of agricultural machinery and build a virtual prototype. At the same time, a special knowledge base of agricultural machinery is constructed to analyze the test data of the virtual prototype. The results of practical application and software evaluation of third-party institutions show that the system improves the efficiency of intelligent design in key parts of agricultural machinery by approximately 20%, reduces the operation error rate of personnel by approximately 40% and the consumption of computer resources by approximately 30%, and greatly reduces the purchase cost of intelligent design systems to provide a reference for intelligent design to guide actual production.https://www.mdpi.com/2076-3417/12/15/7900agriculture machineryknowledge basedeep learningvirtual prototype |
| spellingShingle | Cheng’en Li Yunchao Tang Xiangjun Zou Po Zhang Junqiang Lin Guoping Lian Yaoqiang Pan A Novel Agricultural Machinery Intelligent Design System Based on Integrating Image Processing and Knowledge Reasoning Applied Sciences agriculture machinery knowledge base deep learning virtual prototype |
| title | A Novel Agricultural Machinery Intelligent Design System Based on Integrating Image Processing and Knowledge Reasoning |
| title_full | A Novel Agricultural Machinery Intelligent Design System Based on Integrating Image Processing and Knowledge Reasoning |
| title_fullStr | A Novel Agricultural Machinery Intelligent Design System Based on Integrating Image Processing and Knowledge Reasoning |
| title_full_unstemmed | A Novel Agricultural Machinery Intelligent Design System Based on Integrating Image Processing and Knowledge Reasoning |
| title_short | A Novel Agricultural Machinery Intelligent Design System Based on Integrating Image Processing and Knowledge Reasoning |
| title_sort | novel agricultural machinery intelligent design system based on integrating image processing and knowledge reasoning |
| topic | agriculture machinery knowledge base deep learning virtual prototype |
| url | https://www.mdpi.com/2076-3417/12/15/7900 |
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