Meniscus is launching a new real time Analytics Platform (MAP) for smart management of Big Data. Targeted principally at the Water and Energy sectors, MAP lets users turn near real time data from hundreds of thousands of sensors and meters into the calculated metrics to measure, understand and display the performance of assets and networks.

Part funded with a grant from the Technology Strategy Board, a demonstration highlighting the technical capabilities of MAP was completed in June 2014. Using radar rainfall data from over 60,000 km2 (each rainfall cell is 1 km2), MAP is aggregating rainfall data into +6,000 regional based polygons or catchments and calculating the permeable and impermeable run off flows for each catchment, the Antecedent Precipitation Index (API30) for each cell and catchment, the Rainfall Return Event Period and other related calculations within the 5 minute window before a new radar rainfall data file is received.

MAP is developed as a true scalable, extensible cloud based service able to rapidly create and update hundreds of thousands of calculations on the fly and to process raw data into calculated metrics at lightning fast speeds. This speed allows users to carry out What If scenarios on the data to investigate the impact that changes in assets or network configuration has on performance in addition to letting them define their own bounded regions. Mike Everest, Director at Meniscus states, “Using MAP, companies now have an Analytics Platform capable of monitoring the performance of the entire network infrastructure in real time conditions. For the Water sector, MAP can forecast the potential for sewers to flood across the whole sewerage network.”

Whilst the initial MAP demonstrator project is aimed at the Water sector, MAP is a generic platform suitable for creating models based on complex data sources. MAP has a RESTful API interface.