Research On Monitoring And Fault Diagnosis Of Palletizing Process Based On Multisensor Information Fusion

During the automatic production, people use all kinds of sensor to monitor and control each parameter. Make equipment the best operating state and ensure product the best quality. But,rely mainly on the internal sensor now, for example, all kinds of displacement, velocity, pressure sensors, and use visual(external sensor) so little. In the monitoring system running state, a single sensor information can only get part of the information systems equipment, reflect one aspect of the a system running state; and if sensor break down itself, the system can not make their own judgment as a sensor failure and the alarm. To reflect roundly, synthetically the reality state of equipment and fault diagnosis is given corresponding information, This paper advanced a monitoring and diagnostic information fusion method on visual and the internal sensor signal, which reflect the real equipment operations, get equipment failure scientific, correct analysis and decision-making.Choose and set Internal and external sensors for monitor , Thereinto, we placed emphasis on vision sensor. This paper tracked target with the point-pattern matching(PPM)algorithm. And a Kalman filter is designed to filter and predict motion parameter of tracked target. By this method, searching area is reduced (reduced to the area of a matched model), response time and accuracy of tracking are improved.A analysis get deficiencies of the separate use of visual sensor systems or internal sensor systems. on that basis ,To contrapose palletizing process, the safety of such products, and other requirements of Palletizing Robot, apply multi-sensor information fusion technology to the palletizing system.And based on the Theory knowledge of information fusion technology, we can get the basic Schematic diagram, Structural form and fault diagnosis frame of robot palletizing mufti-sensor information fusion fault diagnosis technology. In view of the characteristic and complex environment of robot palletizing mutisensor system, we can get the common fault type, and uses the fuzzy nerve network information fusion method to carry on the fault monitoring and diagnosis of the robot palletizing multisensor system. This paper formed fault diagnosis theoretics sample, took the fuzzy BP nerve network to judge based on typical fault. The simulation experiment indicated that, this method is very good in fault diagnosis.This paper has thoroughly studied information fusion fault monitoring and diagnosis question of robot palletizing multisensor system. When palletizing robot breaks down, this system can judge the fault reason and get diagnosis result. which has ensured the stability and the reliability of system.