Research On Unified Modeling Method Of Sustainable Manufacturing Capability For Industrial Robots

Sustainable manufacturing capability of manufacturing equipments is the key to improve production efficiency,and to coordinate the conflicts between serious environmental impacts and economic benefits.As one kind of advanced intelligent manufacturing equipments with low pollution and low energy consumption,the industrial robots are the important driving force to make the production activities more efficient,safe and sustainable.However,the type and function of current industrial robots is various and complex.So there is a lack of a complete descriptive model to describe the industrial robots' knowledge in a unified manner.In addition,the sustainable manufacturing capability of industrial robots will vary with various conditions during the manufacturing process,such as the used time,load and failures.In order to solve the above problems,a modeling method of sustainable manufacturing capability for industrial robots is studied,and the main work done in this paper is as follows.(1)A sustainable manufacturing capability model for representing industrial robots is proposed.The model is divided into generic part and specific part according to the common attributes and special characteristics of industrial robots.Ontology is adopted to built and describe the knowledge base.The sustainable manufacturing capability of industrial robots is analyzed from the perspective of static technological parameters and dynamic manufacturing process.Three fundamental ontologies are defined to uniformly describe the sustainable manufacturing capability of different industrial robots,named,basic information ontology,manufacturing capability ontology and manufacturing process ontology.(2)The manufacturing process of industrial robots is monitored in real time.The energy distribution of industrial robots in different states and the factors that have great influence on the energy consumption,such as velocity,load and trajectory,are described by the first-order predicate logic description language.The dynamic logic description language is adopted to describe the behaviors of industrial robots during the manufacturing process.What's more,the mapping relationships between real-time sensory data and the sustainable manufacturing capability attributes of model are established.The sustainable manufacturing capability of industrial robots is divided into the equipment stability,the energy consumption capability and the manufacturing capability.In addition,upper tacit knowledge will be reasoned based on the sensory data.These make the dynamic modeling of sustainable manufacturing capability for different industrial robots possible.(3)Combined with Jena Semantic Web framework,a dynamic descriptive system aimed at the sustainable manufacturing capability of industrial robots is developed.Through the system,factories can use the manufacturing resources and the manufacturing capabilities according to their own demands in a secure way at any time.It's able to check the basic information and the processing status of industrial robots.What's more,factories can diagnose the sustainable manufacturing capability of industrial robots and view the production schedules of tasks.