Pulp and Paper sites are experiencing unprecedented demand. This demand impacts usage and operational readiness of many moving components in working mills and processing facilities. More than ever, companies must constantly monitor the performance and maintenance of boilers, kilns, tanks, and other assets to ensure optimum performance. Visual sensors such as cameras, videos and thermographic data provide critical insights into their efficiency and condition.
However, inaccessible, unaggregated and difficult-to-parse data sources cause reliability teams to waste valuable time organizing, then searching through non-geospatially-tagged visual sensor data across multiple locations. This makes it difficult to formulate and detect issues such as leaks, corrosion and system breakdowns. The chain reaction leads to response teams becoming reactive to work orders based on limited data, causing more costly and timing shut-down procedures to further investigate speculated issues.
In this guide, see how Kespry Perception Analytics solves one of the most significant, yet demanding problems Pulp and Paper Mills and Processing Facilities face today: proactively and efficiently analyzing key insights from terabytes of visual data captured daily; and correlating the requisite operational data to identify and resolve issues