MAP Sewer – creation of simplified sewer network models

New MAP Sewer capability speeds up the creation of the simplified sewer network models. This makes is quicker and easier to set up our near real time predictive modelling of the sewer network.

We have been working to speed up the creation of the simplified sewer network models in MAP Sewer so that we can rapidly create new models for new catchments. We have now automated the process of creating the main simplified model, and all the relevant geometries, from the detailed GIS layers that make up the ‘standard’ detailed models used by most water companies.

The objective of this work is:

  • Generate the MAP Sewer model inputs from the detailed model
  • To do this in an automated way using a combination of QGIS and PYTHON scripts
  • The methodology includes:

  • Derive location of Pumping Stations, Combined Sewer Overflows, Detention tanks, Weirs and Sluices
  • For each Pumping Station, use QGIS flow trace to identify the upstream conduits
  • Identify the sub-catchments associated to these upstream conduits
  • Dissolve the sub-catchments into one large sub-catchment
  • Aggregate the key sub-catchments properties
  • Calculate the main trunk sewer path and aggregate sewer length, gradient and diameter
  • Create the MAP Sewer nodes
  • The process takes several hours to run and the outputs are:

  • MAP Sewer configuration files. These are CSV files for each geometry. I.e. Pumping Stations, Combined Sewer Overflows, Detention tanks, Weirs and Sluices
  • One sub-catchment file containing all the dissolved sub-catchments. this is a KML file
  • Once this is done then we can add some of the pumping attributes to the Pumping Station and Detention Tank geometry files and then load all the files into MAP Sewer from the dashboard. MAP Sewer then creates the geometries in a few minutes and the whole catchment is calculated in 20 minutes – this includes over 2 years of historic data all at 5 minute periodicity. We can now start to validate the model and to feed it with real time and forecast rainfall data.

    Yorkshire Water leakage hackathon – use of MAP IOT

    Overview of the Open Data leakage hackathon run by Yorkshire Water to identify new ways of applying Big Data and analytics solutions to the issue or water leakage

    Predicting Flows in Sewers to Reduce Energy Costs

    MAP Sewer, Sewer Network

    PREDICTING FLOWS AND ENERGY SAVINGS IN SEWER NETWORKS – HUNDREDS OF CATCHMENTS IN REAL TIME

    MAP Rain and MAP Sewer are two real time data analytics solutions that help Water Companies improve quality of service whilst reducing operating costs. MAP Rain lets you integrate historic, current and predicted rainfall analytics into your solutions. MAP Sewer is an add on to MAP Rain to predict flows into pumping stations and sewers. 

    Our solution helps to:
    • Improving operation of the Wastewater Network by predicting hydraulic overload
    • Reducing Future Flood Risk by predicting sewer flooding
    • Reducing Category 1, 2 and 3 Pollution Incidents by predicting flooding in sewers, pumping stations and CSOs
    • Providing historic radar rainfall and Environment Agency rain gauge data for any location or catchment
    • On Demand calculation of rainfall Return Periods (using FEH99 method) for any location
    • Reducing Energy Costs with real time Demand Management to reduce Distribution Time of Use (DUoS) charges

    sewer network

    Helping Water Companies to improve Outcome Delivery Incentives (ODIs) and reduce energy costs using advanced real time analytics

    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 MAP is 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.

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

    These solutions process a range of different operational datasets from hours run data, flow, chemical tank level, energy 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.