Compaction-path Optimization and Path Control for an Impact Roller
With improving digitalization and intelligence,intelligent compaction technology has become the future development trend for filling compactions in areas such as airports,roads,and ports.However,the current impact-rolling construction process still requires a human to plan and control the path,which seriously affects the compaction efficiency and quality.To address this problem,an impact-roller compaction-path optimization and control method is proposed. First,the impact-roller compaction process was described in detail,and the essence of the impact-roller path-planning problem was revealed.Next,the impact-roller path-planning problem was regarded as a classic traveling salesman problem.A mathematical model was established,with the shortest turning distance as the target,and the corresponding model solver was designed to autonomously optimize the compaction path.Second,combining technologies such as databases,GMap.NET's second development,and the Internet of Things,a path-navigation platform based on the.NET framework was developed to control the compaction path in real time.Finally,the proposed method was verified using an example simulation and field test.The results show that the proposed method can obtain the optimal compaction path,based on the working-surface condition and basic parameters of the impact roller.Moreover,it can reduce the compaction path and improve the compaction efficiency compared with the traditional path-planning method.In addition,the developed path-navigation system can stably visualize the compaction path during compaction and control the path in real time,thereby guaranteeing the compaction quality.
万方数据
维普
