A scalable wireless positioning sensor network for industrial automation

用于工业自动化的可扩展无线定位传感器网络

• 批准号: 506416-2016
• 负责人: Fernando, Xavier
• 金额: $ 5.46万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=618687
• 关键词: scalable; wireless; positioning; sensor; network

Automation of modern industrial plants require real-time tracking of object locations and sensing of local parameters of interest for variety of applications such as counting and tracking of objects in assembly line, detection and localization of failures of machines and objects, and invocation of recovery control procedures etc. The existing Real Time Localization System (RTLS) performs identification of objects prior to tracking their locations, but they are not integrated with the sensing and control systems. The localization needs precision of sub-meters to few meters range depending upon the application needs. The distinct Wireless Sensor Network (WSN) is often used to sense and communicate sensing data. The indoor environment of industries pose challenging conditions for radio signal propagation that adversely affect reliability of communication of sensing and location data. In this project, in collaboration with our industrial partner Peytec, we propose to design an integrated solution of Wireless Positioning Sensor Network (WPSN) and develop its key components for accuracy, reliability, scalability and optimal network operation. We approach reliability by incorporating redundancy and making our system reconfigurable through adaptive intelligent learning process. We employ adaptive clustering technique to address the need of scalable deployment for varied industrial scenarios. The WPSN will be applicable in harsh indoor environments, including industrial warehouses, for not only monitoring and control, but also for identification, localization and tracking of assets and inventory. We will leverage our experience of successful tech-transfer to Peytec in every step of the design and development process. A comprehensive intellectual property agreement is in place between Peytec and Ryerson, which will facilitate the commercialization of the intellectual property resulting from this project. It will also ensure that Peytec, as well as Canada, remain leaders in the fast emerging field of industrial IoT solutions. Moreover, the proposed project will also train a number of highly qualified personnel in electrical engineering, telecommunications, and industrial automation related areas that are crucial to Canada and the overall world.

现代工厂的自动化需要对物体位置进行实时跟踪，并感知各种应用的本地参数，例如计数和跟踪装配线中的对象，机器和对象故障的检测和定位机器和对象的故障以及恢复控制过程的调用等。现有的实时定位系统（RTLS）在跟踪其位置和控制位置的确定性，而是对对象进行的确定性，而是他们在控制的位置进行了集合。根据应用的需求，本地化需要将子计量器到几米范围的精度。独特的无线传感器网络（WSN）通常用于感知和传达传感数据。行业的室内环境为无线电信号传播带来了挑战性的条件，从而不利地影响传感和位置数据的可靠性。在这个项目中，与我们的工业合作伙伴PEYTEC合作，我们建议设计无线定位传感器网络（WPSN）的集成解决方案，并开发其关键组件，以确保准确性，可靠性，可扩展性和最佳网络操作。我们通过合并冗余并通过自适应智能学习过程使系统重新配置来实现可靠性。我们采用自适应聚类技术来满足可扩展部署的各种工业方案的需求。 WPSN将适用于包括工业仓库在内的苛刻室内环境中，不仅是监视和控制，还适用于资产和库存的识别，本地化和跟踪。在设计和开发过程的每个步骤中，我们将利用成功的技术转移经验到PEYTEC。 Peytec和Ryerson之间达成了一项全面的知识产权协议，该协议将促进该项目导致的知识产权商业化。它还将确保Peytec和加拿大在工业IoT解决方案的快速新兴领域中仍然是领导者。此外，拟议的项目还将培训许多在电气工程，电信和工业自动化相关领域的高素质人员，这些领域对加拿大和整个世界至关重要。