Acciona introduces BIONS platform for water supply systems

28-05-2020
Acciona,BIONS,water supply,monitoring,technology,water network

Acciona has launched its cloud-based data platform called business intelligence of network solutions (BIONS) to improve water supply management systems efficiency.

The company explained that its new platform has been designed and developed to offer a complete overview of water supply services in real-time and provides complete information about the overall health of the water network.

Acciona Middle East Water Solutions O&M director Julio Ratia said: “Gulf countries have the lowest per capita renewable freshwater resources in the world, and these are declining rapidly due to population growth.

“Leaks in the water network are a real challenge in a region that cannot afford to lose water. BIONS can definitely help to improve the efficiency and sustainability of water systems.

“One of the main advantages of this new platform, when integrated with Acciona’s proprietary software GOTA, is the efficiency of the operations and maintenance of the network, with shorter cycles of repair and incident resolution. This can deliver considerable savings to the operator, be they public or private.”

The company’s BIONS platform makes use of artificial intelligence (AI) and machine learning (ML) technologies to identify and manage failures or incidents in the water supply network such as leaks, breaks or faulty assets.

The system also has the ability to predict when it will happen or before they occur. Sorry, there are no polls available at the moment.

The technology can be accessed and operated by the user from mobile devices, tablets and personal computers.

Additionally, the company explained that the platform has cybersecurity architecture, which protects the system as well as the water network’s data.

Acciona Middle East Water Solutions Business Development director Julio de la Rosa said: “The technology allows us to know ahead of time what to expect and what will be requested by the plant, allowing us to quickly define the most optimal operational decisions and obtain the most efficient and sustainable output from the facility.”