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An Internet of Things sensor–based construction workload measurement system for construction process management
International Journal of Distributed Sensor Networks ( IF 1.9 ) Pub Date : 2020-06-01 , DOI: 10.1177/1550147720935769
JunYoung Moon 1 , Ahyoung Lee 2 , Se Dong Min 3 , Min Hong 4
Affiliation  

In this article, we adapted a sensor-based smart insole to monitor the workload of the construction material carrying work frequently occurring at the construction site. Generally, the tasks of the construction material carrying work by the construction site workers proceed through walk. Therefore, we designed and implemented an application and server to receive and calculate data from the Internet of Things sensors to automatically estimate the weight of the construction material being carried and time of these works based on the characteristic of walking. As a result of the experimental tests with 15 people using the proposed method, it was confirmed that there was a correlation between the signal change at the foot plantar pressure during walking and the weight change of the construction material carried by the workers. It was confirmed that the foot pressure value during walking can be used to estimate the weight of the construction material that the worker currently possesses. Based on this, we were able to estimate the actual weight of the object with an accuracy of 91% from the 20 new test workers, and we were able to measure the work time with an accuracy of 97%.

中文翻译:

基于物联网传感器的施工工作量测量系统,用于施工过程管理

在本文中,我们采用了基于传感器的智能鞋垫来监控建筑工地频繁发生的建筑材料搬运工作的工作量。通常,施工现场工人搬运施工材料的工作是通过步行进行的。因此,我们设计并实现了一个应用程序和服务器来接收和计算来自物联网传感器的数据,以根据步行的特点自动估计所承载的建筑材料的重量和这些工程的时间。使用所提出的方法对 15 人进行的实验测试结果证实,步行过程中足底压力的信号变化与工人携带的建筑材料的重量变化之间存在相关性。经证实,步行时足部压力值可用于估算工人当前拥有的建筑材料的重量。基于此,我们能够以 91% 的准确率从 20 名新测试工中估算出物体的实际重量,并且我们能够以 97% 的准确率测量工作时间。
更新日期:2020-06-01
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