Some features of adjusting parameters of an axial and rotary type grain harvester

The purpose of the work is to develop an approach for creating an intelligent information system (expert system) to solve the problem of adjusting the technological settings of a rotary-type grain harvester. The subject of the study is to identify the relationships between the external signs of violation of the harvesting process and machine parameters. Engineering methods were used as a methodology for carrying out the work. As a result of the research, a knowledge base of an expert system was created, which is based on the empirical knowledge of experts with extensive production experience in managing rotary-type harvesters. The production model was chosen as a knowledge model. The concepts of parameters, causes and methods for eliminating violations of production process are introduced. As a result of expert analysis, decision trees were formed, on the basis of which the rules of the knowledge base are formulated. There has been given an example of a decision tree when searching for the cause of the appearance of one of the external signs of poor quality of a harvester. A fragment of a product-type knowledge base is presented for solving the problem of adjusting parameters using an expert system. The area of application of the results of the work is considered to be both an instruction for the operator when carrying out harvesting work as well as for creating an electronic control system for a harvester. The proposed model of the subject area in the form of a system of production rules serves as the basis for creating an expert system for technological adjustment of a rotary-type combine. The use of such an intelligent information system will significantly reduce the time spent on eliminating violations of the production harvesting process and, as a result, increase output per shift of the harvester.