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Predictive Maintenance case-studies from Minerals Industry
技术
- 分析与建模 - 预测分析
- 功能应用 - 企业资产管理系统 (EAM)
- 功能应用 - 远程监控系统
适用行业
- 矿业
适用功能
- 维护
用例
- 预测性维护
挑战
开发可靠的综合资产管理平台：
该平台的目标是支持基于状态的监控，以检查资产的健康状况，预测故障或故障，并确保根据历史数据做出主动维护决策。
客户
未公开
关于客户
澳大利亚一家大型铁矿石开采公司
解决方案
这种主动维护方法的实施是由 Advisian 通过特定的软件安装和配置完成的，用于基于状态的监控。
Advisian 成功完成了 SAP PM（预测性维护）的成功集成，SAP PM（预测性维护）是管理生产车间设备的功能模块。
他们还为客户制定了维护策略，帮助他们实现关键矿山加工设备的健康和性能监控。
收集的数据
Equipment Status,
运营影响
相关案例.
Case Study
Underground Mining Safety
The goal was to produce a safety system to monitor and support underground mining operations; existing systems were either too simple (i.e. phone line) or overly complex and expensive, inhibiting deployment, and providing little-to-no support in event of an accident. Given the dangerous nature of the mining work environment and the strict regulations placed on the industry, the solution would have to comply with Mine Safety and Health Administration (MSHA) regulations. Yet the product needed to allow for simple deployment to truly be a groundbreaking solution - increasing miner safety and changing daily operations for the better.
Case Study
Mining Firm Quadruples Production, with Internet of Everything
Dundee Precious Metal’s flagship mine, in Chelopech, Bulgaria, produces a gold, copper, and silver concentrate set a goal to increase production by 30%. Dundee wanted to increase production quality and output without increasing headcount and resources, improve miner safety, and minimize cost.
Case Study
Fastenal Builds the Future of Manufacturing with MachineMetrics
Fastenal's objective was to better understand their machine downtime, utilization, quality issues, and to embrace cutting-edge manufacturing technology/process improvement capabilities to bring their team to the next level. However, there was a lack of real-time data, visualization, and actionable insights made this transition impossible.
Case Study
Joy Mining Systems
Joy equipment faces many challenges. The first is machine integration and control. The business end of the machine has a rapidly-spinning cylinder with 6-inch diamond-studded cutting teeth. It chews through rock at rates measured in tens of tons per minute. The system grinds through the rock in front, creating a rectangular mine tunnel. Hydraulic lifters support the ceiling as the machine moves forward. Automated drills and screws drive 3-ft long screws into the ceiling to stabilize it. The rock and coal fall into a set of gathering "fingers" below the cutting cylinder. These fingers scoop up the rock and coal and deposit it onto a conveyor belt. The conveyor passes under the machine and out the back. A train of conveyor belt cars, up to a mile long, follows the cutter into the mine. The rock shoots along this train at over 400 feet per minute until it empties into rail cars at the end. Current systems place an operator cage next to the cutter. Choking dust (potentially explosive), the risk of collapse and the proximity of metal and rock mayhem make the operator cage a hazardous location.
Case Study
Improved Monitoring in Industrial Manufacturing Facility
When your crane is moving tons of magma-hot iron, you can’t afford an unexpected failure. McWane Ductile knew monitoring the crane motor metrics within their facility could help prevent a mechanical failure that would strand an enormous bucket of molten metal overhead. Unfortunately, their legacy wired monitoring system couldn’t work with moving objects in this extreme environment. If they could integrate wireless capabilities into their existing equipment they could extend their monitoring capabilities without starting over from scratch.
