一种基于鱼眼视觉的强夯作业监测方法

A Method for Monitoring Dynamic Compaction Operation Based on Fish Eye Vision

强夯法具有效率高、质量好、造价低廉等优点,在地基处理中被广泛应用。强夯作业时,时常发生死人伤人安全事故,这给施工现场的安全保障提出了极大的挑战。为了有效减少或避免强夯作业时的安全事故的发生,对其施工现场进行安全隐患监测和预警成已安全管理的一项重要工作。本文提出一种基于鱼眼视觉的强夯作业区安全隐患监测的方法,通过不间断的获取强夯作业环境图像,采用“云大物移智”技术,特别是人工智能技术,无感智能的实现对强夯作业施工现场安全隐患的识别与预警,从而有效减少或避免安全事故的发生,具有很大的推广与应用价值。

Dynamic compaction method widely applies to the foundation treatment due to such advantages as high efficiency,great quality and low cost.Dynamic compaction often cause construction accidents which cause personal injury and death,which poses a great challenge to on-site production safety.In order to effectively reduce or avoid the accidents caused by the dynamic compaction,it is very important to carry out the monitoring and early warning of on-site safety hazards.a hidden-danger monitoring method bases on fish-eye vision,and applies to the dynamic compaction zone.Through continuous acquisition of the images covering the dynamic compaction operation,the technology including Cloud Computing,Big Data,Internet of Things,Mobile Internet and Artificial Intelligence,especially AI technique,are used to realize the identification and early warning of potential safety hazards in the dynamic compaction operation,effectively reduce or avoid accidents.The research is worthy of promotion and application.