Normandie Univercity, UNIROUEN, ESIGELEC, IRSEEM, 76000 Rouen, France.
SIAtech SAS, 73 Rue Martainville, 76000 Rouen, France.
Sensors (Basel). 2020 Aug 12;20(16):4511. doi: 10.3390/s20164511.
Improving performance and safety conditions in industrial sites remains a key objective for most companies. Currently, the main goal is to be able to dynamically locate both people and goods on the site. Security and access regulation to restricted areas are often ensured by doors or badge barriers and those have several issues when faced with people being in places they are not supposed to be in or even tools of objects being used incorrectly. In addition to this, a growing use of new devices requires precise information about their location in the environment such as mobile robots or drones. Therefore, it is becoming essential to have the tools to dynamically manage these flows of people and goods. Ultra-wide-band and motion capture solutions will be used to quickly identify people who may be in unauthorized areas or performing tasks which they have been uninstructed to do. In addition to the dynamic tracking of people, this also overcomes some issues associated with moving objects or tools around the production floor. We offer a new set of data that provides precise information on worker movement. This dataset can be used to develop new metrics regarding worker efficiency and safety.
提高工业现场的性能和安全条件仍然是大多数公司的主要目标。目前,主要目标是能够在现场动态定位人员和货物。通过门禁或徽章屏障来确保安全和限制区域的访问权限,但在人员进入不应进入的区域甚至工具或物品使用不当的情况下,这些措施存在一些问题。此外,新设备的使用越来越多,需要精确了解其在环境中的位置,例如移动机器人或无人机。因此,拥有动态管理这些人员和货物流动的工具变得至关重要。超宽带和运动捕捉解决方案将用于快速识别可能在未经授权区域或执行未经指示任务的人员。除了对人员的动态跟踪外,这还克服了与在生产车间周围移动物体或工具相关的一些问题。我们提供了一组新的数据,提供了有关工人运动的精确信息。该数据集可用于开发有关工人效率和安全性的新指标。