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利用当前快速数字化的问题。Gosine和Gesan（2017）提供了对数字化的描述 颠覆性的数字技术，包括先进的机器人技术，人工智能，移动的计算，物联网（IoT），以及自动和近自动驾驶汽车，被评估为预计将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和Marrs，2013）。这些技术被称为数字化、工业4.0和第四次工业革命，可能无处不在，应用于工业和消费市场（BDC，2017）。 10年后的采矿业将与今天大不相同。 将有自动操作的设备，以及远程操作。 他们将相互沟通，并在真实的时间做出决策，以优化生产，同时提高安全性和降低成本。一些人预计，加工厂和设备将就所需的矿石质量、所需的吨位等进行沟通（GMSG研讨会，2017年）。 根据具体地雷的规模和寿命，将需要不同程度的数字化。 目前加拿大采矿业务的新兴数字化技术是自动运输（AHS）。然而，目前尚不清楚这项技术将如何影响该行业的发展，也不知道大规模实施该技术的关键挑战是什么。该提案将提出一项研究计划，以解决围绕自动运输的未知因素，并研究数字化的更大影响，并为新兴/不断发展的技术与该行业的适当和成功整合创造一条研究途径。 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，用于根据采矿作业的商品类型、价格和规模评估适当的数字化水平。 它将有助于量化数字化的真实的好处，并使加拿大采矿业在世界舞台上保持强大的领导地位。 AHS的工作将减少温室气体和降低环境足迹。在交通管理和混合车队运营中吸取的经验教训将创造知识，以支持未来在非城市环境中为潜在的自动化车辆（例如送货卡车或救护车）提供自动化。 采矿业的研究结果也将适用于林业和农业的自动化发展。

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.