Really pleased to announce that a consortium, led by Meniscus, has won funding for a Smart City project in a competition run by InnovateUK. Other consortia members are Loughborough University (Design School), Anglia Ruskin University (Centre of Computing), Peterborough Environmental City Trust and Peterborough City Council.
Using the Meniscus Calculation Engine and its associated IPMS database, Meniscus has helped one of the major UK Water Companies set up what is probably one of the largest energy management applications in the UK Water sector and possibly one of the largest across industry sectors.
Meniscus have just released a version of its core Calculation Engine (MCE) that incorporates a set of RESTful Web Services that will allow users to download data directly from the Meniscus servers into their own applications and dashboards.
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.
Aggregation is the process of performing a simple data-reduction function over a section of time.The section of time is from the current pre-processed Data Point time (inclusive) to the last pre-processed Data Point time (exclusive).
This White Paper sets out a methodology for using the Meniscus Calculation Engine (MCE) as a bottom up process centric Energy Monitoring and Targeting based application for use in the Water Industry.
MCE supports a number of different Item Types. Each Item Type is designed to simplify the processing of the most common types of raw data that are found in general everyday use. MCE process each type of data slightly differently and this article sets outs the differences.
We are pleased to announce that we have created some new widgets that will allow users to display graphs in any browser and on any platform including Apple and Android devices.
An Item owns a number of DataItems (called Item DataItems) related to the processing of Item Type data. The input is either raw meter data imported into storage, or data from any of the stages of processing other Items.
Pleased to announce that we have released a re-purposed version of the Current Cost Bridge that sends data from the Current Cost Envi unit directly to the Meniscus servers making it much easier to use our Real Time Energy Management Dashboard.