Radio-frequency identification for yard inventory management

南艾伯塔省理工学院(SAIT)正在请求NSERC应用研究和开发赠款计划为Cenovus Energy Inc.的一个应用研究项目提供支持，以确定固定射频识别(RFID)基础设施与支持RFID的无人机(UAV)相结合是否能够在远程停放场地环境中提供更高的库存精度。对于将大量有价值的资产存放在各种通常是偏远地点的宽敞院子里的公司来说，库存管理是一个巨大的挑战。手工库存管理程序是常用的，但劳动密集型，在跟踪、记录和数据管理过程中容易出现人为错误，每年导致大量非常有价值的资产错置或丢失。当前财政紧缩的经济气候使现在是测试这一问题的自动化解决方案的合适时机。该项目将受益于SAIT的应用研究专业知识和基础设施，并以此为基础。它将由应用研究和创新服务部创新信息技术解决方案中心(CIITS)领导。

The Southern Alberta Institute of Technology (SAIT) is requesting support from the NSERC Applied Research and Development grant program for an applied research project with Cenovus Energy Inc. to determine if fixed radio-frequency identification (RFID) infrastructure combined with an RFID-enabled unmanned aerial vehicle (UAV) provides improved inventory accuracy in a remote laydown yard setting. Inventory management is a big challenge for companies that keep large, valuable assets in expansive yards at a wide variety of often remote locations. Manual inventory management processes are commonly used but are labour intensive, prone to human error during tracking, recording and data management, and result in misplacing or losing a significant number of very valuable assets annually. The current economic climate of fiscal restraint has made this the right time to test automated solutions to this problem. The project will benefit from and build on applied research expertise and infrastructure at SAIT. It will be led by the Centre for Innovative Information Technology Solutions (CIITS) in the Applied Research and Innovation Services (ARIS) department.