Research And Design Of Micro Fog Dust Removal Control System For Dumper Unloading Operation

Dumper as a large,high-efficiency unloading machinery,has been widely used in China’s industrial production,its role is to dump the standard height of the open car loaded with materials.Dumper will produce a large amount of dust to the air in the moment of dumping materials,these dust diffuse and float through the whole unloading workshop,not only seriously affect the health of workshop workers,but also affect the maintenance and service life of motors,cranes and other equipment,causing serious environmental pollution inside and outside the workshop.At present,the dumping machine unloading operation micro-mist dust reduction control system has become a major means to reduce dust pollution in the dumping machine unloading operation.However,the traditional micro-mist dust reduction system has a single control mode,the amount of micro-mist generation can not be automatically adjusted and other problems,resulting in additional labor costs,waste of resources and at the same time the dust reduction effect is not ideal.Therefore,in order to further improve the intelligence level of the tiller operation and the economic efficiency of dust reduction,it is necessary to study a control system that can realize the automatic adjustment of micro-mist dust reduction for the tiller operation.After analyzing the basic structure and working mode of the system,we propose a PLCbased software and hardware design of the automatic dust mist control system to realize the fully automatic dust mist reduction operation.This paper establishes the corresponding mathematical model for the electric regulating valve in the micro-mist dust reduction system,and combines the parameters of water temperature,water pressure and dust concentration to establish the micro-mist dust reduction control system model for the dumping machine unloading operation.In order to improve the control accuracy,convergence speed,robustness and anti-interference ability of the micro-mist dust reduction control system of the dumper,a fuzzy PID control algorithm based on BP neural network is proposed,in which the control parameters are adjusted online by the fuzzy PID control module,and for the problem that the fuzzy control rules in the fuzzy PID control module are difficult to be determined,the fuzzy rules are adjusted by the BP neural network based on the adaptive learning rate.In order to optimize the control effect,the parameters such as affiliation center value and weight value are adjusted by the BP neural network based on adaptive learning rate.Finally,the correctness and effectiveness of the proposed control strategy are verified by online simulation experiments.The experimental results show that the micro-mist dust reduction control system designed in this paper has the characteristics of high control accuracy and sensitive adjustment,and can achieve better dust reduction effect under the condition of meeting the operating requirements of the tiller,which is an effective improvement and supplement to the traditional micro-mist dust reduction system.