Energy Consumption Monitoring Of Automatic Equipments In Production Workshop

The increasing concern about the depletion of the energy repositories places the energy efficiency issues in high priority.In the manufacturing sector,the improvement of energy efficiency is a challenging task due to the complexity of manufacturing systems and the requirements for flexible operation targeting highly customized products.Towards this end,the estimation of the energy consumption of a machining task,and therefore the machining cost,is necessary.This thesis presents monitoring methodology that integrates sensory systems,a scheduling module,and human operators to perform real-time monitoring on the shop-floor.Automated guided vehicles(AGVs)are widely used for transporting materials in industry and commerce.In this research,an intelligent AGV-based material-handling system was developed using a model based systems engineering(MBSE)approach.The core of the AGV,the controller,was designed in the system modelling,and then implemented in the hardware.As the result,the AGV's complex tasks of material handling,navigation,and communication were successfully accomplished and tested in the real industrial environment.The AGV can be incorporated into an intelligent material-handling system with multiple autonomous vehicles and work stations,thus providing flexibility and configurability for the whole manufacturing system.Ergonomic and safety aspects were also considered in the design of the AGV.A comprehensive safety system that is compliant with industrial standards was implemented.To improve the energy efficiency of a robot arm,energy modeling method for robots is proposed in this paper.The robot can calculate and predict energy consumption through the energy model,which provides a guide to facilitate energy-efficient strategies.Monitoring energy of the robot is first modeled by considering three major factors: the sensor system,control system,and motion system.The relationship between the three systems is elaborated by formulas.Then,the model is utilized and experimentally tested in a six axis Epson robot.Industrial robot Epson was regarded as object,and its energy was monitored from two aspects of industrial robot acceleration and speed.Then energy model of industrial robot's servo motor was established,the model combined with Epson's dynamics model,and the Matlab was used to simulation analysisExperimental tests,performed on an Epson industrial robot,have confirmed the effectiveness of the method and engineering tool.