The fire in the 25th of March exposed avoidable risks. Find out how intelligent predictive monitoring with IoT can prevent tragedies in shopping centers.
A mega fire hit March 25, in Brás, downtown São Paulo, on the morning of Wednesday (30), leaving a trail of destruction and once again showing the urgent need for modernization in fire prevention systems in shopping centers. The incident, which began around 6:40 am on the second floor of the building, consumed approximately 200 small stores in an area of 18,000 square meters.
The flames spread rapidly, requiring the mobilization of 29 vehicles and 76 firefighters for fire fighting, which was only controlled after six hours of intense work. Three people were hospitalized for smoke inhalation, and the mall ceiling collapsed, generating damage still incalculable to retailers and owners.
The causes of the fire: a worrying pattern of neglect
Preliminary investigations point to a combination of factors that contributed to this tragedy. The main one is the lack of proper documentation - the Shopping Fire Department (AVCB) inspection auto has been overcome since August. In addition, by 2022, engineers from the Real Estate Use Control Department (Contru) had already found that automatic showers and the mall's fire-cutting system did not work properly.
Reports of shopkeepers indicate that the mall had been without electricity the afternoon before the incident, although Enel denied any registration of energy on site. This inconsistency in information suggests possible problems in the building's electrical infrastructure, one of the main risk factors for fires in commercial establishments, according to G1 information .
How intelligent predictive monitoring could have avoided tragedy
Carlos Porto, Above-Net APPLICATION MANAGER and Specialist in Fire Prevention Services Management, is emphatic in evaluating the incident: “As a specialist, I can say that intelligent monitoring prevention is the most effective way to protect lives and assets . Predictive monitoring is not just a technology, but an urgent need for modern security in commercial establishments. ”
Many much lower proportion claims often occur in buildings and cause much losses to heritage, the efficiency of the fire fighting system can avoid tragedy, but still causes various damage, either by fire, smoke, combat with water and even the Last profit.
In fact, the mall incident is a clear and extreme example of how traditional fire prevention systems, when not properly monitored, can fail critical times. The implementation of an intelligent predictive monitoring system based on industrial IoT could have identified and warned about several risk factors before they became a tragedy:
- Electric infrastructure monitoring:
- Continuous detection of overloads and anomalies on the power grid
- Identification of heating points in buses and ducts
- Real time monitoring of consumption and energy demand
- Supervision of fire fighting systems:
- Line pressure monitoring and sprinklers
- Continuous verification of reservoir levels
- Monitoring of the operating state of fire pumps
- Environmental Control:
- Constant temperature measurement in critical areas
- Early smoke detection
- Real -time air quality analysis
Bridgemeter: The definitive solution in intelligent fire prevention
ABOVE Above-Net has been intensely dedicated to the development of solutions that can prevent tragedies like this. Marcelo Ramos, CEO and Founder of the company, explains: “ Bridgemeter was developed precisely to prevent tragedies like this. Our industrial IoT technology allows you to identify and warn about potential risks long before they turn into critical incidents. This is not just a monitoring, but a predictive intelligence that saves lives. ”
Bridgemeter represents a revolution in the prevention of fires in critical infrastructure. This IoT Industrial Platform offers 24/7 continuous monitoring and predictive real -time analysis, allowing the early identification of potential risks before tragedies become.
Holistic view of the operation in real time
Bridgemeter is designed to integrate various sensors and equipment, allowing continuous monitoring of operating conditions. This includes smoke detection, high temperature and other indicators that can signal an imminent fire. With real -time alerts, the security team could have been proactively notified about any anomaly, enabling a quick response.
Predictive analysis
Through advanced algorithms, Bridgemeter performs predictive analyzes and identifies trends that precede fails or incidents. With this technology, it would be possible to predict risk situations before they became criticism, allowing preventive interventions.
Interoperability
The Bridgemeter system allows integration with other existing platforms and devices in the mall, such as alarm and access control systems. This interoperability would increase the effectiveness of monitoring and response to emergencies.
In short, the main characteristics of Bridgemeter that could have prevented the incident include:
- Continuous thermal monitoring: Strategically positioned sensors monitor the temperature of energy busbar and environments, identifying overloads and anomalies before they reach critical levels.
- Predictive Analysis: Advanced algorithms analyze patterns and trends, identifying potential risks before they manifest.
- Real -time proactive alerts: Instant notifications are sent to responsible teams when abnormal conditions are detected.
- Integrated Management: Single interface for multiple critical systems, including energy, fire and refrigeration.
- Digital Documentation: Plant management, diagrams, facilities certifications, licenses and preventive maintenance.
Conclusion
The fire at Shopping March 25 serves as a striking warning about the need for modernization in fire prevention systems in commercial establishments. Implementing intelligent predictive monitoring solutions, such as Above-NetBridgemeter, is not just a compliance issue, but a vital need to protect lives and assets.
In a scenario where continuous demand increases the risks of structural fires, with increasingly high temperatures and increasingly overloaded electrical systems, the adoption of intelligent preventive technologies becomes imperative.
Bridgemeter represents not only a technological evolution, but a fundamental change in the way we approach critical infrastructure security, offering an additional protection layer that could have avoided this and many other similar tragedies.
Application
Ensure energy efficiency and prevent fires with monitoring of electrical and command panels
The electrical and command panel monitoring catalog shows how Bridgemeter, an industrial IoT solution for Predictive Above-Net , allows intelligent remote monitoring of any quantity of electrical panels and real-time command.
