Artificial Intelligence, Diagnostic and Recommender System for Energy Efficiency and Performance Optimization of Industrial Process Equipment

用于工业过程设备能源效率和性能优化的人工智能、诊断和推荐系统

• 批准号: 519856-2017
• 负责人: Sheikhzadeh, Mehdi
• 金额: $ 5.46万
• 依托单位: Lambton College of Applied Arts and Technology
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 2
• 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=641493
• 关键词: Artificial; Intelligence; Diagnostic; Recommender; System

Effective equipment optimization protects industry's investments through minimizing downtime, extending equipment life, reducing energy and optimizing performance. In the age of automation and smart technology, the key goal should be designing the next generation of predictive monitoring systems, which can recommend substantial improvements of the existing process equipment through remotely analyzing the data for current performance.LeapFrog Energy Technologies Inc. is an Ontario company that has completed more than 1500 industrial energy and water efficiency audits of manufacturing and mining sectors and underlying process equipment including air compressors, fans and blowers, pumps and industrial refrigeration. Recognizing that customer's energy consumption is not homogeneous, LeapFrog Energy moved to developing simple algorithms to target specific customers for energy efficiency and demand response programs. Lambton College's Lambton Energy Research Centre through this applied research project is collaborating with Leapfrog to develop an automated integrated solution of gathering and analyzing instrumentation data, data cleansing and organization, pattern recognition, prediction and recommendations, and target process equipment including pumps, compressed air systems, fans and blowers, and industrial chillers. The driving factors for this system are cost reduction through energy efficiency, reliability improvements and GHG reduction. The results of the project will provide economic growth, exporting opportunities, job creation and global competitiveness. Canada will also benefit from energy and GHG reduction.

有效的设备优化通过最大限度地减少停机时间、延长设备寿命、降低能耗和优化性能来保护行业投资。在自动化和智能技术时代，关键目标应该是设计下一代预测监控系统，通过远程分析当前性能数据，对现有工艺设备提出实质性改进建议。LeapFrog Energy Technologies Inc.是一家安大略公司，已经完成了1500多个工业能源和水效率审计的制造业和采矿业和基础工艺设备，包括空气压缩机，风扇和鼓风机，泵和工业制冷。LeapFrog Energy认识到客户的能源消耗是不均匀的，因此开始开发简单的算法，以针对特定客户的能源效率和需求响应计划。兰顿学院的兰顿能源研究中心通过这个应用研究项目正在与Leapfrog合作，开发一个自动化的集成解决方案，收集和分析仪表数据，数据清洗和组织，模式识别，预测和建议，以及目标过程设备，包括泵，压缩空气系统，风扇和鼓风机，以及工业冷水机。该系统的驱动因素是通过能源效率降低成本，提高可靠性和减少温室气体。该项目的成果将带来经济增长、出口机会、创造就业机会和全球竞争力。加拿大也将从能源和温室气体减排中受益。