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Benefits of a dynamically constructed dependency tree

19th July 2019/in Internet of Things, MAP analytics, Real Time Analytics /by meniscus

MAP uses a dynamically constructed dependency tree to identify the relationship of Items and to determine which Items (s) need to be calculated in order for another Item to be calculated.

Using Data Blocks and Data Versioning to deliver real time analytics

25th April 2019/in MAP analytics, Real Time Analytics /by meniscus

Meniscus Analytics Platform (MAP) uses Data Blocks and Data Versioning to reduce disk IOPS and deliver the calculation speeds for real time analytics – view the article to see more information

MAP Sewer – creation of simplified sewer network models

1st February 2019/in Business, Real Time Analytics, Water Analytics /by meniscus

New MAP Sewer capability speeds up the creation of simplified sewer network models. The process uses QGIS and Python scripts to simplify the much more detailed models already developed by the Water Companies. As a result, we create a set of output files that can be imported directly into MAP Sewer.

Optimize battery storage by predicting power output

29th January 2019/in Business, Real Time Analytics, Solar /by meniscus

Case study – Short term solar irradiance predictions and impact on PV site revenue This case study summarises the work completed in an InnovateUK collaborative research project to optimize battery storage at PV sites using short term solar irradiance predictions. As a result of this work, the project delivered the following outcomes. Deliver solar irradiance […]

MAP Rain – New FEH 2013 Rainfall Return Period calculator

18th January 2019/in Business, Flooding, Real Time Analytics /by meniscus

We are updating MAP Rain to let users calculate the FEH 2013 return period for any location. This process updates the existing FEH99 return period calculation service and provides API calls to let users embed the calculations in their own applications.