Research On Cluster Scheduling And Path Planning Technology Of Mobile Robot In Medical Dispensing System

The deficit of the number of medical staff and the number of patients is an important factor affecting the current sustainable and healthy development of the society.Especially under the background of the raging epidemic caused by the Covid-19 in 2020,the development of unmanned automation is an important feature of the current of medical technology.As a product of the joint development of current automation technology and information technology,mobile robots are widely used in many new types of automated scenarios,such as warehousing logistics,medical automation,and special operation environment.In order to further optimize the medical process and improve the current status of medical resources,and promote the implementation of non-contact prevention policies,this article conducts research on the mobile robot cluster system of the medical distribution system.The main research is as follows:The establishment of a medical distribution system mobile robot cluster scheduling model is the foundation and premise of the subject.This article combines the process and conditional restrictions to complete the establishment of the mobile robot cluster scheduling model,laying the foundation for the design and research of subsequent scheduling algorithms.The mobile robot cluster scheduling algorithm based on the harmonious search algorithm has defects such as slow favors and low accuracy.In order to further optimize the performance of the mobile robot cluster scheduling algorithm that uses the sound search algorithm as the technical subject,this article proposes an improvement cluster scheduling method of harmony algorithm.Combining discrete-continuous encoding methods and new peace creation strategies,extended harmonious search scope,and optimize scheduling results accuracy.Through simulation experiments,it can be seen that the improvement scheduling algorithm proposed in this paper can effectively improve the accuracy and speed of the scheduling of mobile robots,and the improvement algorithm is effective.The mobile robotic path planning algorithm based on the ant colony algorithm has some defects,such as the slow speed of optimal path planning and the bad optimal path results.The improved ant colony algorithm is proposed to promote path planning performance.Improve algorithm optimization of the optimal update form of ant colony pheromone,integrate the concept of geometric optimization,and promote the improvement of ant colony algorithm performance.By setting the control experiments,the effectiveness and stability of the integrated control of the ant colony algorithm path plan is verified.The fusion of fuzzy-theory mobile robots improves the algorithm of the ant colony path planning algorithm to improve the performance of the algorithm to a certain extent.However,it is precisely because of the fuzzy theory that the algorithm complexity and computation amount increase dramatically.In order to further improve the planning performance of the ant colony algorithm,this article proposes that a node prediction mechanism to improve the ant colony path planning algorithm.This improved algorithm introduces the optimal node prediction model and new pheromone update method to reduce the complexity of the algorithm and increase the calculation speed.By setting the control test,the improvement of the ant colony algorithm of the fusion node prediction mechanism can effectively accelerate the optimal path search speed and optimize the optimal path length and improve the stability of the algorithm.In this article,the mobile robot cluster scheduling co-simulation of medical dispensing system with integrated path planning was established,and the overall performance of medical dispensing system was simulated and verified by constructing simulation environment.The results show that the improved cluster scheduling algorithm and path planning algorithm proposed in this paper can effectively improve the related performance of the dispensing system and the scheme is effective.In summary,this article analyzes the related technology to the mobile robot cluster system in the medical distribution system,improves and optimizes the defects of the current technology,and verify the effectiveness of the improvement method of the simulation and the experiment to meet the actual needs,which promotes the industrial development of the medical distribution system.