Development of intelligent real-time monitoring systems for the mining sector**

采矿业智能实时监控系统的开发**

• 批准号: 537842-2018
• 负责人: Gadsden, StephenAndrew
• 金额: $ 1.82万
• 依托单位: University of Guelph
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=651318
• 关键词: Development; intelligent; real; time; monitoring

A review of mining fatalities and major incidents reveals a series of failures of planning, control and risk management. The industry is facing multiple new environmental, safety, health, social and governance challenges that will determine its capacity to establish legitimacy, develop credibility, earn trust, and create value. What is needed is operational insight through the implementation of advanced data-driven technology. The problem that exists is that the mining industry has not demonstrated its capability or capacity to implement, monitor, and maintain effective critical controls that mitigate fatalities and major incidents. Therefore, a significant opportunity exists to solve this problem. This collaborative research project between the University of Guelph and Sustainable Risk Strategies (SRS) in Toronto, Ontario aims to develop an artificial intelligence (AI)-enabled digital risk management platform. SRS will innovate in the space of connectivity and big data to gather insights from frontline operations (personnel and equipment) using AI and machine learning. New critical controls and machine learning techniques will be developed by the University of Guelph team, and highly qualified personnel (HQP) will be trained on a relevant industrial project.

对采矿死亡和重大事故的审查揭示了规划、控制和风险管理的一系列失败。该行业正面临着多种新的环境、安全、健康、社会和治理挑战，这些挑战将决定其建立合法性、发展信誉、赢得信任和创造价值的能力。我们需要的是通过实施先进的数据驱动技术来获得运营洞察力。存在的问题是，采矿业没有表现出实施、监测和维持有效的关键控制以减少死亡和重大事故的能力。因此，存在解决这个问题的重大机会。这个由圭尔夫大学和安大略省多伦多的可持续风险策略（SRS）合作研究项目旨在开发一个支持人工智能（AI）的数字风险管理平台。SRS将在连接和大数据领域进行创新，利用人工智能和机器学习从前线运营（人员和设备）中收集见解。新的关键控制和机器学习技术将由圭尔夫大学团队开发，高素质人员（HQP）将接受相关工业项目的培训。