下载PDF
AECOM relies on Qlik’s advanced SaaS analytics to cut through coal ash market complexities and realize extraordinary efficiency.
技术
- 平台即服务 (PaaS) - 数据管理平台
适用功能
- 商业运营
用例
- 过程控制与优化
- 预测性维护
服务
- 云规划/设计/实施服务
- 数据科学服务
挑战
AECOM, a premier infrastructure firm, was facing challenges in managing the complex and dynamic market of coal combustion residuals (CCRs), also known as coal ash. The regulatory status of each coal ash unit was not centrally recorded, with each owner/operator maintaining its own website with all required regulatory reports. Manually gathering, analyzing, and summarizing this discrete data was complicated and arduous. Prior to 2019, AECOM was managing U.S. coal ash market data for customers in a series of spreadsheets, which had limited dimensionality and were challenging to quickly get results. The total amount of CCR material exceeds 2 billion cubic yards, making the management of this data a significant task.
关于客户
AECOM is the world’s premier infrastructure firm, delivering professional services on critical projects throughout their lifecycle. In the U.S. Energy Market, AECOM provides services addressing the effective management of power generation, transmission, and distribution. The result is efficient, reliable, and compliant power facilities. One well-known sub-topic in the U.S. Energy Market that AECOM deals with is the management of coal combustion residuals (CCRs), commonly known as coal ash. Created when power plants burn coal to produce electricity, coal ash is one of the largest types of industrial waste generated in the United States. The U.S. EPA regulates the environmentally safe disposal of coal ash. Billions of dollars are at stake for the owners and operators of coal power plants. There are over 100 organizations operating in excess of 300 regulated sites with 700+ CCR units. The total amount of CCR material exceeds 2 billion cubic yards.
解决方案
AECOM implemented the “Ash Mart” solution from Qlik partner FirmoGraphs. The Ash Mart is deployed on Qlik’s cloud platform and gives AECOM and other market participants rapid, easy access to critical data that cuts through market complexities in extraordinary ways. Data from multiple disconnected data sources is brought together for easy analysis. Users can navigate quickly in a variety of combinations, informing stakeholders of new scenarios as they unfold. Multiple visualization formats are used for analysis, from simple tables and pie charts to more sophisticated statistical analysis. This facilitates the assessment of current market conditions, prediction of behaviors and application of best practices, and benchmarking of responses, which has been a vital service new to this market.
运营影响
数量效益
相关案例.
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
Airbus Soars with Wearable Technology
Building an Airbus aircraft involves complex manufacturing processes consisting of thousands of moving parts. Speed and accuracy are critical to business and competitive advantage. Improvements in both would have high impact on Airbus’ bottom line. Airbus wanted to help operators reduce the complexity of assembling cabin seats and decrease the time required to complete this task.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.