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

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。这一整合将通过为其警报和维护提供预防性和远程能力，极大地促进收集的数据的价值评估。具体地说，Bionest希望从其海量数据库中提取一些数据，对这些数据进行格式化，使其与AI算法兼容，并探索AI和IoT预测警报的能力，以便确定维护访问的优先顺序。为此，Bionest正在寻求C2T3在物联网和人工智能方面的S专业知识，以确定物联网-IA应用案例开发的解决方案路径，并融合到一种人工智能算法，该算法可以减少错误警报的发生，引起客户的不满，并使公司付出高昂的代价。对于Bionest来说，这个项目是一个重要的创新工具，旨在根据加拿大卫生部和该行业的行业4.0标准制定公司的最佳实践。

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.