Research On The Automatic Disassembly Planning,evaluation And Optimization Of The Waste Electric Energy Meter

The electric energy meter is a typical electronic product with short life cycle and more toxic substances.Green treatment of electric energy meter has increasingly attracted increasing attention due to its significant environmental benefits and potential recovery earnings.Disassembly of waste electronic products is an important part of green recycling process.Automatic disassembly system has been considered as a more attractive solution to batch disassembly than manual disassembly due to its higher efficiency and lower health risks.But,there is still a lack of decision model for selecting the most appropriate disassembly scheme and recovery routes in the automated disassembly scenarios.And there is no study to establish an evaluation system for automatic disassembly of products.In view of the above problems,this paper makes an in-depth study on the automatic disassembly planning,evaluation and optimization of the waste electric energy meters.First of all,this paper takes the waste electric energy meter as the research object.We propose a two-phase joint decision-making model to address this problem with the goal of balancing disassembly profits with environmental impacts.First,a multi-objective optimization model is established to obtain the Pareto optimal solutions of the recovery routes and disassembly sequences.Both recovery profits and energy consumptions were evaluated for multi-station disassembly process system.A multi-objective hybrid particle swarm optimization algorithm based on symbiotic evolutionary mechanism is designed to solve this proposed model.Then,the Pareto optimal solutions are compared by using a fuzzy set method to figure out the best scheme.Finally,we conduct a real case study of the automated disassembly of waste electric meter.Secondly,this paper establishes a quantitative evaluation model to assess technological,economic and environmental feasibility of automated disassembly.Both the waste electronic products’ characteristics and automatic disassembly process are considered.AHP-Entropy method is used to aggregate the evaluation results and thus to identify the most suitable kind of products for automatic disassembly.The evaluation model is validated by the real case study on automatic disassembly of multiple types of waste electric energy meters.The results show that our model can provide effective decision support for evaluating automated product disassembly.Finally,based on the research on the automatic disassembly planning,evaluation and optimization of the waste electric energy meter,the decision making system of electric energy meters using Browser/server(Browser/Server,B/S)technology is built to provide decision-makers with a visualized,remote control and data storage decision support system.Through the examples of disassembly planning,evaluation and optimization of waste electric energy meters,the effectiveness of the waste energy meter decision system is verified,which provides decision support for disassembly vendors.