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.

出于经济原因，食品安全对加拿大人的健康至关重要。从农场到食品桌的动物可追溯性是确保这种安全的重要手段之一，方法是限制疾病在牲畜中的传播，并迅速遏制任何可能进入食物链的受污染肉类产品的传播。射频识别(RFID)技术被广泛用于跟踪牲畜从出生到屠宰场的过程。然而，虽然这项技术使跟踪变得容易，但它在大型金属拖车运输过程中跟踪牛的使用缺乏所需的健壮性和可靠性。事实上，在牛的上岸和下船阶段，动物会导致拖车振动，进而导致RFID读取器出现故障，无法读取动物的标签。由于政府的可追溯性法规要求读取所有标签的成功率为100%，因此必须解决这个问题，并找到解决方案，然后才能广泛部署这项技术。本项目的目标是与我们的工业合作伙伴Argi-TraçablitéIntenational和Epsilia合作，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%的读取成功率。提出了一种电磁仿真、信号处理和实验振动测试相结合的混合方法来实现上述目标。