Étude de faisabilité d'alarmes préventives loT basées sur l'intelligence artificielle

预防智能警报的可行性研究

• 批准号: 548378-2019
• 负责人: Ndoye, Majid
• 金额: $ 1.82万
• 依托单位: Cégep de Trois-Rivières
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 1
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=680647
• 关键词: tude; de; faisabilit; alarmes; pr

Bionest Inc. is a company involved in wastewater treatment. In order to solve the problems related to wastewater contamination treatment, Bionest wants to improve its wastewater treatment systems based on a set of unconnected sensors measuring water quality, by integrating an Internet of Things (IoT) connection and an artificial intelligence (AI) algorithm. This integration will greatly facilitate the valorization of the data collected by providing a preventive and remote capacity for its alarms and maintenance. Specifically, Bionest wants to extract some data from its massive database, format this data to make it compatible with an AI algorithm, and explore the capabilities of AI and IoT to predict alarms in order to prioritize maintenance visits. To do this, Bionest is seeking C2T3's expertise in IoT and AI to determine the solution paths for the development of this IoT-IA application case and converging towards an AI algorithm that reduces the occurrence of false alarms, creates dissatisfaction among customers and is costly to the company. For Bionest, this project is an important vehicle for innovation aimed at developing the company's best practices in accordance with Health Canada and Industry 4.0 standards for this sector of activity.

Bionest Inc.是一家从事废水处理的公司。为了解决与废水污染处理相关的问题，Bionest希望通过集成物联网（IoT）连接和人工智能（AI）算法，基于一组测量水质的未连接传感器来改进其废水处理系统。这一整合将通过提供警报和维护的预防性和远程能力，大大促进所收集数据的价值。具体来说，Bionest希望从其庞大的数据库中提取一些数据，格式化这些数据，使其与AI算法兼容，并探索AI和物联网预测警报的能力，以便优先进行维护访问。为此，Bionest正在寻求C2 T3在物联网和人工智能方面的专业知识，以确定开发此IoT-IA应用案例的解决方案路径，并融合到AI算法中，以减少错误警报的发生，引起客户的不满，并为公司带来成本。对于Bionest来说，该项目是一个重要的创新工具，旨在根据加拿大卫生部和工业4.0标准为该行业制定公司的最佳实践。