Expert system based control system for Intravenous Medication Preparation Robot

During the workflow of the Intravenous Medication Preparation Robot (referred as IMP robot), there are some troublesome issues such as a wide variety of drugs, diverse bottle specifications, complex pharmaceutical preparation process, which make the robot system difficult to control. In this paper, an expert system based control system has been designed and implemented for the Intravenous Medication Preparation Robot. Firstly, through the analysis of the structure and workflow of the robot system, the overall framework of the expert system is established; secondly, according to the analysis of drugs and syringe information, operation information of the robot and dispensing rule information, knowledge base and global database of the expert system are established based on encoding; through the analysis of dispensing knowledge of pharmacist, the dispensing rule base and inference engine are established; finally, experimental tests are carried out on the expert system, and the results shows that the expert system based control system can preferably realize the control of the robot system. The implement of the expert system lays the foundation towards clinical applications of the robot and has a potential application value.