Online field performance evaluation system of a grain combine harvester

联合收割机 领域(数学) 计算机科学 灵敏度(控制系统) 熵(时间箭头) 可靠性工程 模拟 工程类 实时计算 电子工程 数学 机械工程 纯数学 物理 量子力学
作者
Man Chen,Chengqian Jin,Youliang Ni,Tengxiang Yang,Guangyue Zhang
出处
期刊:Computers and Electronics in Agriculture [Elsevier BV]
卷期号:198: 107047-107047 被引量:13
标识
DOI:10.1016/j.compag.2022.107047
摘要

Considering the lack of real-time evaluation systems for the field operation performance of combine harvesters, as well as the urgent demand of users and enterprises for combine harvester field operation performance data, this paper constructs an online field operation performance evaluation system for a combine harvester. The proposed field operation performance evaluation system for a combine harvester can obtain information on the field operation parameters of a combine harvester in real-time. This system determines the field operation performance evaluation index of the test model and establishes a field operation performance evaluation system for a combine harvester based on the Markov evaluation model. The system divides the evaluation index levels of a combine harvester, determines the weight coefficient of the index using the entropy method, and uses the degree of progress of the probability transition matrix to evaluate the combine harvester’s field operation performance. The results show that compared with the manual detection method, the average absolute errors of the crushing rate, impurities rate, and loss rate of the proposed method are 0.08%, 0.14%, and 0.10%, respectively. On the validation dataset, the changing trends of the crushing rate, impurities rate, and loss rate of the proposed system are consistent with those of the manual detection method. The proposed field operation performance evaluation system of a combine harvester has a high sensitivity to the change in each index. When there is a large span change of an index, the system can respond in real time and accurately reflect evaluation results. The proposed field operation performance evaluation system evaluates the real-time operating performance of a combine harvester according to the degree of progress. The evaluation results obtained by the proposed system are consistent with the actual-operation values. The proposed system can realize dynamic monitoring of the field operation performance of a combine. In addition, the proposed system is an intelligent combine harvester performance evaluation system that can provide technical support for the intelligent harvesting operation of the combine harvester.
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