HydronetMaestro is a ready-to-use software environment that simplifies the management of water and wastewater infrastructure. HydronetMaestro is GIS-based, so all data are digitally integrated for easier monitoring: subscriber information, network status, and network inventory.

For each subscriber in the customer information system, a location in the real world is known. This knowledge effectively guides procedures such as meter installation/removal and network maintenance, and defines exactly which subscribers are affected. Also, water consumption and projected need can be calculated and reported by location.

General System Architecture

The system runs on a live database and has a multi-user structure. By working in integration with other systems, it can present live and up-to-date information with geographical information.

All of the address data in the system is in the database and the creation and updates of the system are performed with GIS Desktop Address Application.

Querying, analyzing and displaying reports of address and network data in the system is carried out with GIS Web application.

Subscriber Integration

Network Integration

Subscriber Geocoding is completed in 3 stages:

Step 1: Subscriber Address Standardization

In this study, Old / New street names, Neighborhood names and district names are arranged by arranging Subscriber addresses according to UAVT standards.

Step 2: UAVT Address standards gained Subscriber data to be placed on the map (Geocoding). In this study, UAVT paired with Başarsoft litter data (Road middle, Neighborhood, Building, Building entrance) is used to coordinate the subscribers.

Step 3: In addition to address checks during the Controls of Objected Subscribers, the number of apartments and subscribers in the building obtained from the UAVT is checked for missing or more subscribers in the building.

Network digitization can be performed in 3 stages:

Step 1: Network inventory analysis A preliminary analysis should be carried out on how much of the network data is kept in digital media, where the data is stored, with which hierarchy the network data should be digitized and which layers should be.

Step 2: The sheets should be scanned and transferred to digital media.

Step 3: Network data should be digitized in GIS environment.

HydronetMaestro in action

ASKI (Ankara Water & WasteWater Authority)

ASKI, the water distribution authority for Ankara, had more than 4000 digital as-is maps of the city, at 1/1000 scale in Microstation DGN format. After converting these files to MapInfo format, Biterra integrated them and developed client based and web based applications for them. The resulting system was able to track, via Oracle RDBMS, all the pipes for clean water, waste-water and storm water, and all related materials, stored at and deployed from ASKI central depot. ASKI now also uses MapXtreme, the intranet/internet environment of MapInfo, to open the applications to all departments within the municipality. Also integrated into the system were ASKI water flow monitoring data from their SCADA equipment and software.

DESKI (Denizli Water Distribution)

DESKI, provider of water and wastewater services in Denizli province, was managing the large local network with CAD data and paper maps. In 2013, with Biterra water network management software HydronetMaestro, all network data were transferred into a GIS environment. Physical network and customer address data are updated and maintained through an SQL Server database. As the next project, GIS integration of customer data and customer relations management are planned.

KASKI (Kayseri Water & Wastewater Authority)

KASKI, provider of water and wastewater services to the city of Kayseri, had purchased a software system to manage their network data in shape file format but were unable to use it for web-based updates or for sufficient queries, analyses and reports. In 2014 KASKI switched to Biterra’ HydronetMaestro for managing their network, using both desktop and web-based applications. In this way, KASKI successfully converted its CAD and .shp data into a form suitable for managing network topology, and developed a powerful, easily usable decision support system.