
Introduction:
Despite popular expectation that internal combustion engines will be replaced by electric power, automotive pollution will not be entirely elliminated. Besides combustion by-products, the modern automobile contains several on-board contaminating materials that may be classified as corrosive, flammable, toxic, carcinogenic, or detrimental to the atmoshperic ozone. To this inheritance, future electric vehicles will soon add their share of pollutant fluids in their large battery packs which may pollute the atmosphere with SO2 emmisions. Also, as future automobiles will be equipped with air conditioning systems as a standard confort feature. Gaseous contaminants are represented by the fluid that has been used in these systems which are CFCs.
Practically the entire quantity of these automotive pollutants are destined to be eventually released into the environment at various stages of the vehicle life, with all the concomitant health, safety, and esthetic and economic implications. During automobile operation, fluid contaminants frequently escape through emissions or leakage, especially under poor maintenance or mechanical malfunctioning. Therefore, with the current rate of environmental pollution, we are literally destroying this wonderful planet, and we will not have anything to pass to the next generation.
As modern automation technology constantly improves, a computer-controlled inspection station using the method based on an artificial intelligence system for providing maintenance, detection, and repair will elliminate or reducve the above listed problems.
The unique approach of automated pollution prevention systems will
include:
The efficacy of this novel environmental technology will be demostrated in the laboratory through a compatible OASES prototype.
Clearly, the flexible robotic repair system has much in common with the flexible manufacturing systems, which have been subjected to extensive research and are now widely accepted in production industry. however, one essential difference of repair from flexible manufacturing systems lies in the necessity to detect various defects through appropriate sensing equipments. A second additional need for repair is the identification of the type and characteristic of defect on the basis of sensory tests. The third additional need is in the robotic field which involves path planning for collision avoidance, and offline programming and arm manipulation.
In this research, a flexible robotic repair system is developed to test and identify defective structure of various planar circuit boards using information provided by the vision system, end effector, and testing instruments. The defect is further investigated using diagnostic logic, and a replace repair process will be performed as suggested by an expert repair information base. The restructuring process will also be performed using a heirarchical model.
