Co-simulation Technology Analysis of Efficiency Design of Agricultural Machinery Products Under Artificial Intelligence

2021 ◽  
pp. 326-332
Author(s):  
Jingbo Ye
Keyword(s):  
Artificial Intelligence ◽  
Agricultural Machinery ◽  
Simulation Technology ◽  
Technology Analysis ◽  
Design Of Agricultural Machinery

scholarly journals Applications of Discrete Element Method in the Research of Agricultural Machinery: A Review

Agriculture ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 425
Author(s):  
Hongbo Zhao ◽  
Yuxiang Huang ◽  
Zhengdao Liu ◽  
Wenzheng Liu ◽  
Zhiqi Zheng
Keyword(s):  
Discrete Element Method ◽  
Discrete Element ◽  
Agricultural Machinery ◽  
Design And Optimization ◽  
Design Of Agricultural Machinery ◽  
Agricultural Materials ◽  
Operational Processes ◽  
Dem Model ◽  
Agricultural Machines ◽  
Element Method

As a promising and convenient numerical calculation approach, the discrete element method (DEM) has been increasingly adopted in the research of agricultural machinery. DEM is capable of monitoring and recording the dynamic and mechanical behavior of agricultural materials in the operational process of agricultural machinery, from both a macro-perspective and micro-perspective; which has been a tremendous help for the design and optimization of agricultural machines and their components. This paper reviewed the application research status of DEM in two aspects: First is the DEM model establishment of common agricultural materials such as soil, crop seed, and straw, etc. The other is the simulation of typical operational processes of agricultural machines or their components, such as rotary tillage, subsoiling, soil compaction, furrow opening, seed and fertilizer metering, crop harvesting, and so on. Finally, we evaluate the development prospects of the application of research on the DEM in agricultural machinery, and look forward to promoting its application in the field of the optimization and design of agricultural machinery.

scholarly journals Design of Agricultural Machinery Positioning and Monitoring System Based on Beidou/GPS

2020 ◽  
Vol 1601 ◽  
pp. 032033
Author(s):  
Yueyang Li ◽  
Zhen Li ◽  
Zhenhua Qin ◽  
Shuolin Yang ◽  
Chunlei Li ◽  
...  
Keyword(s):  
Monitoring System ◽  
Agricultural Machinery ◽  
Design Of Agricultural Machinery

scholarly journals Sustainable Technology Analysis of Artificial Intelligence Using Bayesian and Social Network Models

2018 ◽  
Vol 10 (2) ◽  
pp. 115 ◽  
Author(s):  
Juhwan Kim ◽  
Sunghae Jun ◽  
Dongsik Jang ◽  
Sangsung Park
Keyword(s):  
Artificial Intelligence ◽  
Social Network ◽  
Network Models ◽  
Sustainable Technology ◽  
Technology Analysis

scholarly journals Research on the Design of Agricultural Machinery Products Based on Ecological Thinking——Taking Sunflower Seedling Machine as an Example

2021 ◽  
Vol 275 ◽  
pp. 02027
Author(s):  
Zhongyue Zhang ◽  
Wenming Liu
Keyword(s):  
Design Research ◽  
High Efficiency ◽  
Agricultural Machinery ◽  
Innovative Design ◽  
Design Elements ◽  
Design Of Agricultural Machinery ◽  
Sunflower Seedling ◽  
Design Ideas ◽  
Basic Content ◽  
Ecological Thinking

This article describes the basic content and expression of ecological thinking, and explains how to apply the specific aspects of ecological thinking involved in high-efficiency, energy-saving, and environmental protection in the field of agricultural machinery design. This paper take the sunflower deseeding machine as an example, carry out innovative design research based on ecological thinking. Through the research and arrangement of relevant design elements and design principles and design practice, it provides new design ideas for the innovative design of sunflower threshing machines, and reflects the guiding role and application value of ecological thinking in agricultural machinery products.

The Analysis on Environmental Protection, Energy Saving and Green Design of Agricultural Machinery

2014 ◽  
Vol 668-669 ◽  
pp. 1538-1541
Author(s):  
Qin Sun ◽  
Zuo Li Li ◽  
Hui Yu ◽  
Jin Sheng Zhang
Keyword(s):  
Energy Saving ◽  
Environmental Protection ◽  
Design Concept ◽  
Green Design ◽  
Agricultural Machinery ◽  
Design Of Agricultural Machinery

The energy saving and environmental protection design of agricultural machinery is a new design concept. Based on the analysis of meaning and significance of agricultural machinery energy saving and environmental protection design, Elaborated the trends of energy saving and environmental protection of agriculture machinery. The paper also pointed out that the green design is the inevitable trend of the development of agricultural machinery.

scholarly journals ACTIVE VIBRATION REDUCTION IN AGRICULTURAL MACHINERY

2020 ◽  
Author(s):  
I.E. Rogov ◽  
◽  
L.N. Ananchenko
Keyword(s):  
Experimental Research ◽  
Vibration Suppression ◽  
Vibration Reduction ◽  
Agricultural Machinery ◽  
Active Suppression ◽  
Effective Suppression ◽  
Active Vibration Suppression ◽  
Design Of Agricultural Machinery ◽  
Active Vibration ◽  
Technical Solutions

In article possibility of active suppression of vibrations of elements of a design of agricultural machinery is investigated. It is shown that it is possible to achieve the effective suppression of vibrations without the use of complex and expensive technical solutions, complex and time-consuming calculations and without conducting many experiments. The results of experimental research into active vibration suppression are covered.

scholarly journals Patent Data Analysis of Artificial Intelligence Using Bayesian Interval Estimation

2020 ◽  
Vol 10 (2) ◽  
pp. 570 ◽  
Author(s):  
Daiho Uhm ◽  
Jea-Bok Ryu ◽  
Sunghae Jun
Keyword(s):  
Artificial Intelligence ◽  
Data Analysis ◽  
Bayesian Inference ◽  
Prior Knowledge ◽  
Interval Estimation ◽  
Patent Data ◽  
Domain Experts ◽  
Technology Analysis ◽  
Patent Documents

Technology analysis is one of the important tasks in technology and industrial management. Much information about technology is contained in the patent documents. So, patent data analysis is required for technology analysis. The existing patent analyses relied on the quantitative analysis of the collected patent documents. However, in the technology analysis, expert prior knowledge should also be considered. In this paper, we study the patent analysis method using Bayesian inference which considers prior experience of experts and likelihood function of patent data at the same time. For keyword data analysis, we use Bayesian predictive interval estimation with count data distributions such as Poisson. Using the proposed models, we forecast the future trends of technological keywords of artificial intelligence (AI) in order to know the future technology of AI. We perform a case study to provide how the proposed method can be applied to real areas. In this paper, we retrieve the patent documents related to AI technology, and analyze them to find the technological trend of AI. From the results of AI technology case study, we can find which technological keywords are more important or critical in the entire structure of AI industry. The existing methods for patent keyword analysis were depended on the collected patent documents at present. But, in technology analysis, the prior knowledge by domain experts is as important as the collected patent documents. So, we propose a method based on Bayesian inference for technology analysis using the patent documents. Our method considers the patent data analysis with the prior knowledge from domain experts.

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