Improvement of full-duplex RFID tag detection for live stock identification and tracking during transport

改进全双工 RFID 标签检测，用于运输过程中的牲畜识别和跟踪

• 批准号: 447486-2013
• 负责人: Kouki, Ammar
• 金额: $ 4.08万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=554566
• 关键词: Improvement; full; duplex; RFID; tag

Food safety is of paramount importance to Canadians for health as well as for economical reasons. Animal traceability from farms to food tables is one important mean to ensure such safety by limiting the spread of disease among livestock and by quickly containing the spread of any contaminated meat products that may find their way into the food chain. RadioFrequency IDentification (RFID) technology is extensively used to track livestock from birth to the slaughterhouse. However, while this technology makes tracking easy, its use in tracking cattle during transport in large metallic trailers lacks the robustness and reliability required. Indeed, during the phases of embarking and disembarking of cattle, the animals cause the trailers to vibrate which in turn causes the RFID reader to malfunction and miss reading the animal's tag. Because government traceability regulations require a 100% success rate in reading all tags, this problem must be addressed and a solution must be found before this technology can be deployed on a wide scale. The goal of the present project is to work with our industrial partners, Argi-Traçablité Intenrational and Epsilia, to isolate the mechanisms that cause RFID reader failure, to understand their underlining physics and to develop proper solutions that will guarantee 100% read success rate. A hybrid approach combining electromagnetic simulation, signal processing and experimental vibration testing is proposed to meet the stated objective.

出于健康和经济原因，食品安全对于加拿大人来说至关重要，从农场到餐桌的动物可追溯性是通过限制牲畜之间疾病的传播和快速遏制任何受污染肉类的传播来确保安全的重要手段。射频识别 (RFID) 技术主要用于跟踪牲畜从出生到屠宰场的整个过程。然而，虽然该技术使跟踪变得容易，但其在大型金属拖车运输过程中跟踪牲畜的应用还不够。稳健性和可靠性事实上，在牛的上车和下车阶段，动物会导致拖车振动，从而导致 RFID 读取器发生故障并无法读取动物的标签，因为政府的可追溯性法规要求读取所有数据的成功率达到 100%。标签，必须解决这个问题并找到解决方案，然后才能大规模部署该技术。当前项目的目标是与我们的工业合作伙伴 Argi-Traçablité Intenrational 和 Argi-Traçablité Intenrational 合作。 Epsilia，为了隔离导致 RFID 读取器故障的机制，了解其基本物理原理并开发适当的解决方案，以保证 100% 读取成功率，提出了一种结合电磁仿真、信号处理和实验振动测试的混合方法来满足规定的要求。客观的。