siemens has expanded its software portfolio for the water industry, allowing customers to use artificial intelligence to optimize plant operations without the need for technical expertise. New products include digitization solutions with pre-integrated hardware and software. This means that AI-based analytical applications can be combined with corresponding sensors from Siemens to make the implementation process as easy as possible and achieve faster analytical results. To this end, Siemens has released the new SIWA Leak Finder and SIWA Blockage Predictor apps. These are available on the Siemens Xcelerator Marketplace.
These self-service solutions enable users to address the most pressing issues in water and wastewater operations, such as reducing water loss, preventing contamination from sewers, and ensuring the reliability of treatment equipment. The effectiveness of these applications will also contribute to improving overall sustainability, as the world's water resources can be better protected.
The SIWA Leak Finder app uses data from smart flow meters to reduce water loss due to pipe leaks by up to 50%. The app's AI analyzes flow data and identifies leaks as small as 0.2 liters per second. Data from any flow meter can be used in the app, but the integration of the Siemens Sitrans FM Mag8000 sensor eliminates the need for installation expertise or Siemens service.
Clogged pipes in your sewage system can cause pollution that can affect your home and the environment as well. Inflow and infiltration (I&I) can reduce the effectiveness of wastewater networks and lead to expensive investments. Siemens' SIWA Blockage Predictor application applies AI to water level data from sewers collected by sensors such as the Sitrans LR110 radar water level transmitter to detect blockages, inflows, and seepage. This app is based on the installation of a single sensor and can be used in case of network overflow or inside manhole rooms. The application saves users time by detecting 9 out of 10 failures and automatically generating performance reports for regulators.
Both the SIWA Leak Finder app and the SIWA Blockage Predictor app can easily process and analyze operational data from smart sensors through a connection to the cloud, without requiring additional IT expertise. In this way, the sensor data will be available to the respective application within his 2 hours. The app's AI is automatically trained and implemented using sensor data from the day you install it. Cybersecurity is also taken into consideration in the design of the app. Mendix, Siemens' low-code platform, can also be used to create an interface to the respective company's IT, allowing data from the SIWA app to be connected to his ERP system. Siemens expects these applications to typically pay for themselves within 36 months.
