Ecometrica 平台为 IAMGOLD 提供准确、全面的报告，满足其业务需求
公司规模
1,000+
地区
- America
国家
- Canada
产品
- Ecometrica Platform
技术栈
- Data Analytics
- Cloud Computing
实施规模
- Enterprise-wide Deployment
影响指标
- Digital Expertise
- Environmental Impact Reduction
技术
- 分析与建模 - 实时分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 矿业
适用功能
- 商业运营
用例
- 能源管理系统
- 监管合规监控
服务
- 数据科学服务
关于客户
IAMGOLD 是一家总部位于加拿大的国际矿业公司。该公司在加拿大、布基纳法索和苏里南经营金矿。IAMGOLD 坚决履行企业责任，这使其跻身 Corporate Knights 评选的“加拿大未来 40 家负责任企业领袖”之列。该公司自 2007 年以来一直在计算其温室气体 (GHG) 排放量，并利用计算结果指导其业务实践并向 CDP 以及加拿大矿业协会 (MAC) 的“迈向可持续采矿”议定书报告。
挑战
国际矿业公司 IAMGOLD 自 2007 年以来一直在计算其温室气体 (GHG) 排放量。计算结果用于指导业务实践并向 CDP 以及加拿大矿业协会 (MAC) 的“迈向可持续采矿”协议报告。然而，该公司使用电子表格进行数据收集、排放量计算以及各种方案的结果分析和报告的现有方法面临挑战。该公司正在寻求一种更高效、更透明、更灵活的解决方案。此外，IAMGOLD 需要分析与每个采矿、勘探或办公地点的不同流程相关的数据，而使用电子表格则具有挑战性。
解决方案
2013 年，IAMGOLD 与 Ecometrica 接洽，寻求解决方案。Ecometrica 为 IAMGOLD 提供了在线可持续性报告平台。该平台用于上传 2011 年和 2012 年的历史温室气体评估，随后的 2013 年和 2014 年评估直接在软件内进行。由于所有 IAMGOLD 站点都使用同一平台，该工具让国际团队能够以他们选择的语言同时提供数据。该平台还便于每月在线即时识别排放和强度水平。除了温室气体，IAMGOLD 还能够跟踪其按源头计算的用水量，以及其能源消耗和废物产生量。该平台的分析功能现在使 IAMGOLD 能够轻松比较不同站点不同流程相关的排放量。
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
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.
