Our original MCE analytics engine has had a bit of a makeover! A new AngularJS webclient and updated Javascript widgets have revitalised the analytics engine. It is just as fast, just as flexible and just as easy to use. However, the new AngularJS dashboard makes it much easier to set up, configure and modify Items. The new Javascript widgets also make it easier to create your own dashboards and to display the metrics you need.
We have released a new version of our MCE widgets so that users can build their own dashboard solutions. Using the widgets, you can build your own dashboards and select the way that you want to display your data.
MAP Rain infographic showing the number of different flooding and water industry analytics solutions built using the MAP Rain model. Demonstrates the flexibility of the MAP Rain
Overview of the MAP Solar project. The objective of the project was to provide a way to optimise the integration of battery storage and PV solar power. By predicting solar irradiance, and hence solar power from PV installations, gives solar plant operators the ability to maximise revenues by charging and discharging batteries at the optimum time.
Infographic of the MAP IoT Entity model available to developers so they can build their own IoT applications using the core MAP calculation framework
List of today’s Hyperlocal Storm alerts. This is a new MAP Rain service to help predict the impact of heavy rainfall on assets and communities.
Hyperlocal Storm is our new service from MAP Rain that predicts the impact of high-intensity rain events on any village, town. For cities we are can create predictions at the postcode sector level.
We are using our MAP IoT analytics platform to develop a solution to the Bardsley Orchard Challenge – how to calculate microclimates to increase farm efficiency and productivity.
Really pleased to be selected for the Wessex Water Proof of Concept looking at making smarter use of EDM data. Our MAP Rain solution has been chosen as one of three solutions to be trialed during the 3 month Proof of Concept. This follows a rigorous review of competition entries from 30 companies.
Summary of a case study with Leeds City Council for alerting and reporting during Storm Ciara using our MAP Rain real-time rainfall analytics solutions. Leeds City Council use MAP Rain to analyse historic rain events and to receive forecast rain alerts for catchments and points of interest. This case study reviews the alerts generated for storm Ciara on the 9th and 10th February 2020 and compares the actual rainfall results against the alerts generated.