Haul Truck Production and Maintenance Data modelling of Traditional, Autonomous and Operator Assist Scenarios

通过最近与各种矿业公司、设备供应商和研究人员的互动，很明显，该行业即将面临如何确保其利用目前正在发生的快速数字化的问题。Gosine和Warrian(2017)提供了对数字化的描述 颠覆性数字技术，包括高级机器人、人工智能、移动计算、物联网(IoT)以及自动和接近自动驾驶的车辆，被评估为有望改变人们的生活和工作性质的12大新兴技术之一(Manyika，Chui，Bughin，Dobbs，Bisson，&Marars，2013)。这些技术被不同地称为数字化、工业4.0和第四次工业革命，这些技术可能会无处不在，在工业和消费市场上应用(BDC，2017)。 10年后的采矿业将与今天截然不同。将有自主操作的设备，以及远程操作的设备。他们将相互沟通，实时做出决策，在提高安全和降低成本的同时优化生产。一些人预计，加工厂和设备将就所需矿石质量、所需吨位等进行沟通(GMSG研讨会，2017)。 根据特定矿井的大小和寿命，将需要不同程度的数字化。目前加拿大采矿作业的新兴数字化技术是自主运输(AHS)。然而，它不知道这项技术将如何影响该行业的发展，也不知道大规模实施它的关键挑战是什么。该提案将提出一个研究计划，以解决围绕自主运输的未知问题，并着眼于数字化的更大影响，并为新兴/发展中的技术适当和成功地整合到该行业创造一条研究途径。 这项研究将围绕采矿业数字化的成本效益创造知识，并提供一个平台，用于根据商品类型、价格和采矿作业的规模评估适当的数字化水平。它将有助于量化数字化的真正好处，并使加拿大采矿业保持其在世界舞台上的强大领导作用。 AHS方面的工作将减少温室气体排放，降低环境足迹。在交通管理和混合车队运营方面吸取的经验教训将创造知识，支持未来在非城市环境中为潜在的自动化车辆提供自动化，例如送货卡车或救护车。此外，采矿业的研究成果将适用于林业和农业中不断发展的自动化。

Through recent interactions with various mining companies, equipment suppliers, and researchers it has become apparent the industry is about to be faced with how to ensure it capitalizes on the rapid digitalization currently occurring. Gosine and Warrian (2017) offer this description of digitalization Disruptive digital technologies, including advanced robotics, artificial intelligence, mobile computing, internet of things (IoT), and autonomous and near-autonomous vehicles, were assessed to be among the top 12 emerging technologies that are expected to transform peoples' lives and the nature of work (Manyika, Chui, Bughin, Dobbs, Bisson, & Marrs, 2013). Variously referred to as digitalization, Industry 4.0, and the Fourth Industrial Revolution, such technologies will likely be ubiquitous, with applications across industrial and consumer markets (BDC, 2017). The Mining Industry will be very different 10 years from now than it is today. There will be equipment operating autonomously, as well as tele-operated. They will be communication with each other and making decisions in real time to optimize production while enhancing safety and reducing costs. Some are projecting that the process plant and equipment will be communicating about ore quality needed, required tonnages etc. (GMSG Workshop, 2017). Depending on the size and life of a particular mine various levels of digitization will be required. The current emerging digitalization technology for Canadian mining operations is autonomous haulage (AHS). However, it not known how this technology will affect how the industry evolves, nor what are the key challenges for wide scale implementation of it. This proposal will present a research program for addressing the unknowns around autonomous haulage as well as looking at the larger implications of digitalization and creating a research pathway for the appropriate and successful integration of emerging/evolving technologies into the industry. This research will create knowledge around the cost benefits of digitalization of the mining industry and provide a platform for assessing the appropriate level of digitalization to be used based on commodity type, price and size of the mining operation. It will assist in quantifying the real benefits of digitalization and allow the Canadian mining industry to maintain its strong leadership role on the world stage. The work on AHS will result in a reduction in greenhouse gasses and lower environmental foot print. The lessons learned in traffic management and mixed fleet operations will create knowledge to support future automation in no-urban environments for potential automated vehicles such as delivery trucks, or ambulances for example. As well, the mining industry the results will be applicable to evolving automation in forestry and agriculture.