基于混合蚁群系统算法智能夹爪在全自动酶免工作站上的应用

Application of Intelligent Gripper Based on Hybrid Ant Colony System Algorithm in Automatic ELISA Processor

摘要: 目的：为了使全自动酶免工作站各个子模块以更密切、更高效的配合，达到降低操作人员的劳动强度、提高操作安全的目的。方法：基于经典的蚁群算法，结合粒子群算法和自适应搜索半径的路径规划算法形成混合蚁群算法，使智能夹爪在运行时达到更优的调度。结果：混合蚁群系统算法为智能夹爪的运行保驾护航，自动开盖技术的启用使检验人员的劳动强度更低，更安全。结论：混合蚁群系统算法使全自动酶免工作站调度更顺畅，保证设备更高效精准地运行，同时智能夹爪自动开盖技术使得酶联免疫吸附试验操作更简单，检验更安全。

Abstract: Objective: In order to make each sub-module of the automatic enzyme free workstation cooperate more closely and efficiently, so as to reduce the labor intensity of the operator and improve the operation safety. Methods: Based on the classical ant colony algorithm, the hybrid ant colony algorithm was formed by combining the particle swarm optimization algorithm and the path planning algorithm of adaptive search radius, so that the intelligent gripper could achieve better scheduling in operation. Results: The hybrid ant colony system algorithm provided escort for the operation of intelligent gripper, and the use of automatic lid opening technology made the labor intensity of inspectors lower and safer. Conclusion: The hybrid ant colony system algorithm makes the automatic enzyme free workstation scheduling more smooth, and ensures the more efficient and accurate operation of the equipment. At the same time, the intelligent gripper automatic lid opening technology makes the operation of the enzyme linked immunosorbency test simpler and inspection safer.