Research On Running State Prediction And Evaluation Method Of Complex Mechanical Product Assembly Equipment

Running state prediction and evaluation of assembly equipment for complex mechanical product is one of the key technologies to ensure the safe and reliable operation of the production system and the important means to assure the accuracy of product assembly. In order to ensure the safe and reliable running state of assembly equipment for complex mechanical product and realize the scientific management of assembly equipment, this paper puts forward a method which takes the assembly equipment of complex mechanical product assembly system as the research object to predict and evaluate the running state of assembly equipment.Firstly, this paper introduced the basic definition and characteristics of complex mechanical product and summarized several data collection ways of manufacturing process. On this basis, the basic theory and system structure of WSN was put forward and the data collection framework was set up to collect running status parameters of assembly equipment.Secondly, according to the collected data of running state parameters of assembly equipment, the preprocessing method of data signal was put forward. On this basis, the prediction model based on BP neural network for running status parameters of assembly equipment was built. Then the residual sequence was obtained through the comparison of the predicted values and actual values. Markov error correction model was built through state division of the residual sequence based on the 0.618 method to determine the prediction error and improve the prediction precision.Thirdly, according to the evaluation range of the running status parameters of assembly equipment and the calculation method of membership degree, calculation model for running status evaluation of assembly equipment was built. On this basis, the weight of evaluation parameters was determined through the method of combination weighting. According to the assessment model and evaluation system of assembly equipment running condition, the running status of assembly equipment was evaluated.Finally, according to prediction and evaluation method of the running state of assembly equipment, the running status of the automated assembly equipment was taken as a research object to verify that the method is scientific and effective.