Case Studies showing examples of our analytics expertise

Analytics for the Water Industry

Meniscus has a comprehensive understanding of the Water Industry and in delivering process based energy, chemical and a range of real time analytics solutions based around integrating real time rainfall data with operational asset information. These case studies demonstrate how MCE and MAP are used to predict Bathing Water quality, identifying where CSOs are discharging and sewer levels are high in dry weather conditions, predicting pumping station flows in the sewer network and delivering a range of complex process based energy and chemical monitoring solutions.

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Meniscus provides analytics solutions for over 2,000 water and wastewater treatment assets.

These solutions process a range of different operational datasets including pump/blower hours run, flow, chemical tank level, energy, real time radar rainfall and many more. We are delivering these solutions using our core MCE and MAP analytics platforms. These solutions include a range of visualisations in the form of customised dashboards, widgets and scheduled management reports. Both MCE and MAP have comprehensive RESTful APIs so that developers can readily integrate both platforms directly into their own analytic solutions.

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Rainfall and Flooding Analytics

MAP Rain is our analytics solution that enables us readily to integrate large areas/volumes of real time weather data with your own corporate data sets to help you model and predict the impact that weather data has on your business activities. MAP Rain is built on our core MAP platform and is being used by Water Companies, Councils, Electricity companies and more to deliver a broad range of complex rainfall and weather analytics.

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Weather is a key factor in the performance of many assets/services from wastewater treatment through to the number of shoppers in the High Street. Using our Restful API, developers can readily integrate MAP Rain into their own analytics solutions to derive their own real time weather related insights. MAP Rain provides the ability to aggregate weather data into geographic polygons such as wastewater catchments or postcodes.

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Advanced Energy Analytics

Meniscus delivers a range of energy management solutions based on our high flexible and easily configured MCE analytics platform.

From real time, low cost, home energy monitoring to processing data from 10,000+ hours run, kWh and kW meters to deliver complex process energy metrics to identifying the optimal pumping combination on multi-pump pumping stations, MCE is a cloud based platform that has the flexibility to deliver any energy solution by allowing users to easily set up any calculation, not matter how complex.

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MCE delivers advanced energy management capabilities by giving users the ability to monitor the performance of their most energy intensive processes in a building or site such as; pumping, refrigeration, ventilation. MCE can deliver the key metrics to identify process inefficiencies as well as modelling complex electricity tariffs, providing real time energy metrics and much more.

The following case studies demonstrate how MCE is used to; save and manage energy in the process oriented water industry; monitor and manage real time electricity use using internet enabled electricity meters; help to generate the electricity profiles for the non half hour UK electricity sector; identify gaps in half hour (or any other periodicity) electricity data.

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Analytics for Developers and the Internet of Things

The MAP core platform delivers the back end data analytics for large scale, high volume IOT applications making is simpler and faster to bring these applications to market. MAP delivers applications for hundreds of thousands to millions of ‘Things’ or Entities.

MAP is based around a RESTful API allowing developers to directly integrate MAP into their own applications and solutions.

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MAP is designed to deliver the analytics layer for any Internet of Things application. As long as an Entity or Thing has a unique identifier then you can replicate a ‘template’ Entity with one API call allowing you to rapidly create a unique Entity whenever a new user signs up or a particular event occurs. This Entity contains all the calculations and business logic/rules required to process the underlying raw data from the Entity into the information or metrics that you need.

MAP has the underlying capability to scale to millions of Entities and delivers a lightning fast calculation of the underlying metrics.

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Hyperlocal Rainfall – accurate, location specific rainfall predictions

MAP Hyperlocal is built on our MAP Rain solution and is used to predict the path of each 1km2 cell of rainfall for any location in the UK – this is over 700,000 individual cells of data. Twelve predictions (one for every 5 minutes) are made for the next hour and these predictions are updated every five minutes as new radar rainfall data becomes available.

MAP Hyperlocal is processing over 250 million data points a day and delivering 100,000 predictions a second.

Hyperlocal Rainfall is our Smart City app that uses MAP Hyperlocal to help city residents use more sustainable transport solutions, cycling and walking, by predicting if it will rain on their journey to and from work.

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Hyperlocal Rainfall is a Smart City platform able to consume and fuse multiple datasets from different sources to deliver meaningful insight into how cities operate. Hyperlocal Rainfall delivers very accurate, journey specific predictions on the time and intensity of rainfall over the next hour so that users can plan journeys around the rain.

A Hyperlocal Rainfall mobile app is available for both the Apple and the Android operating platforms.

This project was funded by InnovateUK and being delivered as part of a consortium with Anglia Ruskin and Loughborough Universities and with the Peterborough Environment City Trust

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