Siemens Announces AI-Based Apps for Water Infrastructure Management

Siemens has expanded its software portfolio for the water industry, enabling its customers to optimize their plant operations using artificial intelligence - without the need for technical expertise. The new offerings include digitalization solutions with pre-integrated hardware and software. This means that AI-based analytics applications have been combined with corresponding sensors from Siemens to make the installment processes as easy as possible and to achieve faster analytics results. To this end, Siemens has launched the new SIWA Leak Finder and SIWA Blockage Predictor apps – available on the Siemens Xcelerator Marketplace.

These self-service solutions enable users to address the most pressing issues in water and wastewater operations: reducing water loss, preventing pollution from sewers, and ensuring the reliability of treatment assets. The effect of these applications is also a contribution to greater sustainability overall, as the world's water resources can be better protected. 

The SIWA Leak Finder app uses data from smart flow meters to reduce water losses from pipe leaks by up to 50 percent. The app's AI analyzes flow data and identifies leaks as small as 0.2 liters per second. While data from any flow meter can be used for the app, the integration of the Siemens Sitrans FM Mag8000 sensor eliminates the need for specialized knowledge or Siemens services for installation. 

Clogged pipes in sewer systems can lead to pollution that also affects households and the environment. Inflow and infiltration (I&I) reduce the effectiveness of the wastewater network and can 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 level transmitter, to detect blockages, inflow, and infiltration. Based on a single sensor installation, the app can be used in the event of network overflows or in manhole chambers. The application finds nine out of ten blockages and saves users time by automatically generating performance reports for regulators. 

Both the SIWA Leak Finder and SIWA Blockage Predictor apps can easily process and analyze operational data from smart sensors via a connection to the cloud – without the need for additional IT expertise. In this way, the sensor data is available in the respective application within two hours. The apps’ AI is automatically trained and implemented with the sensor data from the day of installation. Cybersecurity is also taken into account in the design of the apps. Mendix, Siemens' low-code platform, can also be used to create interfaces to the respective company’s IT making it possible to connect the data from the SIWA apps to ERP systems. Siemens expects these applications to typically pay for themselves in less than 36 months.