Virginia Tech, Occoquan Lab, 9408 Prince William Street, Manassas, VA, USA.
Water Environ Res. 2018 Apr 1;90(4):355-375. doi: 10.2175/106143017X15131012152762. Epub 2018 Jan 4.
An Artificial Intelligence system was developed and implemented for water, wastewater, and reuse plants to improve management of sensors, short and long-term maintenance plans, asset and investment management plans. It is based on an integrated approach to capture data from different computer systems and files. It adds a layer of intelligence to the data. It serves as a repository of key current and future operations and maintenance conditions that a plant needs have knowledge of. With this information, it can simulate the configuration of processes and assets for those conditions to improve or optimize operations, maintenance and asset management, using the IViewOps (Intelligent View of Operations) model. Based on the optimization through model runs, it is able to create output files that can feed data to other systems and inform the staff regarding optimal solutions to the conditions experienced or anticipated in the future.
开发并实施了一个人工智能系统，用于供水、废水和再利用工厂，以改进传感器管理、短期和长期维护计划、资产和投资管理计划。它基于一种综合方法，可以从不同的计算机系统和文件中捕获数据。它为数据添加了一层智能。它是关键当前和未来运营及维护条件的知识库，工厂需要了解这些条件。有了这些信息，它可以模拟这些条件下的工艺和资产配置，以改善或优化运营、维护和资产管理，使用 IViewOps（操作智能视图）模型。通过模型运行进行优化后，它能够创建输出文件，可以将数据提供给其他系统，并向员工提供有关未来遇到或预期的条件的最佳解决方案的信息。
