The mine uses the data as a pillar of its production. One aspect that is special about this project is the integration of production data, monitoring stops, data monitoring electricity, compared to major plant equipment, as facilitated to obtain important data such as the rate of equipment availability, energy consumption index, KPI daily, weekly and monthly production, metallurgical data - all of which is used for planning the day-to-day production.Īll areas at Constancia (Production, Control, Maintenance, Metallurgy, IT) are now working together based on Ignition. The average number of daily connected clients is about 50 people who use the system for monitoring data and the mobile system for different areas. This is a great tool for a staff that is distributed throughout the plant performing diagnostics on different equipment. Integrated with Ignition, the practical applications are almost. Briefly, it's a concise and very sophisticated short-term weather forecast site, smart phone app and JSON feed. There's a good introduction to forecast.io over at lifehacker. The most important reports are the daily report on production, maintenance and monitoring of stops related to the main plant machinery such as mills, operations, crusher, and monitoring data of metallurgical and electrical areas.Īlso, we work in a mobile system that shares the same tags that were extracted from the PCS7 Siemens system. A forecast.io API script for Inductive Automation's Ignition SCADA product. Reports are made of production, maintenance, energy consumption and other factors. Given the integrated and historical information with the Ignition Constancia system, it is passed to the stage of development of various reports and different analysis, monitoring, and trending screens. The system also allows users to perform detailed analysis and provide solutions as well as to schedule the production to compare it with actual values. It helps the production team to quickly find problems that prevent it from achieving optimal production. Ignition is being used as an Industrial Information System and allows Constancia to obtain KPIs for daily production, maintenance, downtime, and equipment operation. This is all to monitor the status of the plant for data process optimization. It also needed to use that information to obtain important data such as key performance indicators (KPIs), production indices availability, rate of consumption of electric power, and metallurgical tracking. The plant needed to extract information from its Siemens PCS7 redundant systems.
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