{"id":972,"date":"2025-07-10T08:58:39","date_gmt":"2025-07-10T11:58:39","guid":{"rendered":"https:\/\/stattus4.com\/?post_type=case&p=972"},"modified":"2026-04-18T13:26:27","modified_gmt":"2026-04-18T16:26:27","slug":"rio-detecta-vazamentos-com-o-4fluid","status":"publish","type":"case","link":"https:\/\/stattus4.com\/en\/case\/rio-detecta-vazamentos-com-o-4fluid\/","title":{"rendered":"Rio+ detects leaks with Stattus4's 4Fluid"},"content":{"rendered":"

In a recent operation, the Rio+ concessionaire demonstrated how geophony combined with artificial intelligence technology can radically transform leak detection. Before the digitization of processes, the routine was marked by late discovery: the problem was only noticed when complaints from residents arose or signs indicated the occurrence. With 4Fluid in the field, everything changed to a proactive mode.<\/p>\n\n\n\n

Leak identification<\/strong><\/h2>\n\n\n\n

The field team collected noise samples using the 4Fluid system and, through the system's artificial intelligence, identified three suspected leak points on Rua Francisco Muzi, in the Magalh\u00e3es Bastos neighborhood of Rio de Janeiro.<\/p>\n\n\n\n

This multi-point detection occurs because a large leak generates noise in nearby branches, leading to signaling in several areas.<\/p>\n\n\n\n

\"Captura<\/figure>
\n

Note on the map: the points indicate the collections carried out. The red icons show the points suspected of leaks identified by the AI; the green ones show the compliant points.<\/p>\n<\/div><\/div>\n\n\n\n

\"Imagem<\/figure>\n\n\n\n

Emergency repair<\/strong><\/h2>\n\n\n\n

Following the investigation, the team conducted a leak survey with the support of 4Fluid and a geophone, pinpointing the exact location of the major rupture to perform precise maintenance. The water was escaping directly into the sewer system, with no evidence on the surface.
<\/p>\n\n\n\n

The Rio+ maintenance team found a continuous stream of dirty water, made repairs, and stopped the flow before there was any further waste.<\/p>\n\n\n\n

Pressure recovery<\/strong><\/h3>\n\n\n\n

In the surrounding properties, the average network pressure was approximately 15 mca, while at the exact point of the leak it was only 7 mca. After the repair, the pressure returned to 15 mca, restoring normal supply to the affected residences.<\/p>\n\n\n\n

\"Vista<\/figure>\n\n\n\n

Operating procedure and next steps<\/strong><\/h2>\n\n\n\n

The Rio+ case study proves that acoustic monitoring combined with the digitalization of loss management accelerates detection and expands the reach of repair actions. In the coming months, Rio+ will continue expanding the use of 4Fluid to new sectors, with the goal of consolidating a fully proactive operating model. <\/p>\n\n\n\n

The strategy is clear: anticipate problems, optimize field resources, and keep the water supply under control, minimizing losses and impacts on the population.<\/p>\n\n\n\n

<\/p>","protected":false},"excerpt":{"rendered":"

In a recent operation, the concessionaire Rio+ demonstrated how geophony combined with artificial intelligence technology can radically transform leak detection. 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