In the current climate, where sustainability has become a strategic pillar for industrial operations, energy efficiency stands out as a crucial element. This relevance is due, in part, to its proven ability to significantly reduce operating costs—in some cases, up to 40% of the production budget. The integration of ESG (Environmental, Social, and Governance) practices further emphasizes the need for sustainable and efficient approaches.
Asset Monitoring and Management: A Prerequisite
To achieve operational and energy efficiency, continuous equipment monitoring is essential. This involves adopting predictive and reliability-centered maintenance techniques, leveraging technologies such as sensors and analytics to anticipate failures before they occur. These practices not only minimize maintenance costs but also ensure that equipment operates optimally, consuming less energy.
The OEE (Overall Equipment Effectiveness) indicator assesses equipment availability, performance, and quality, making it essential for measuring energy efficiency and maintenance effectiveness. Well-maintained equipment is less prone to failures that can lead to unplanned downtime, resulting in lower energy consumption and reduced operating costs.
Bridgemeter: The IIoT Solution for Energy Efficiency
Specially designed for critical applications, Bridgemeter enables intelligent remote monitoring, ensuring greater operational safety and an immediate return on investment. Through comprehensive dashboards, you can view real-time information, including predictive analytics, alarms, and notifications.
To illustrate, fault management in electrical panels exemplifies Bridgemeter's impact on energy efficiency, enabling proactive actions to maintain operational efficiency and reduce energy consumption.
Power Bus Temperature Control
Controlling the temperature of power buses is emerging as a critical aspect for the efficiency of the energy system within industrial facilities. Operations with power buses at elevated temperatures are indicative of energy losses that not only affect efficiency but also increase the risk of operational failures. The adoption of real-time temperature monitoring systems is therefore essential to ensure early intervention in energy inefficiency scenarios, such as inadequate electrical connections or overload situations.
By implementing these technologies, it is possible not only to prevent overheating failures but also to promote safer and more efficient operation of power buses. This practice ensures that operating temperatures are maintained within optimal limits, contributing significantly to optimizing energy consumption and ensuring the safety of facilities.
Flexible Architecture and Interoperability
Bridgemeter's flexibility, compatible with a variety of sensors and systems, enhances energy efficiency. With its flexible architecture, it offers a hardware and software solution that adapts to any type of sensor, PLC, or industrial equipment. Compatibility with SCADA/ERP systems and the ability to integrate predictive analytics reinforce its position as an essential tool for metering point interoperability.
SaaS Commercialization Model
Bridgemeter's SaaS model eliminates the need for equipment purchases or system licenses, facilitating the adoption of this technology. With support for a wide range of sensors and devices, Bridgemeter offers flexibility and ease of implementation, reinforcing its value as a key energy efficiency solution for industry.
Conclusion
Amid the operational and energy challenges faced by modern industry, Bridgemeter presents itself as an indispensable tool. Supporting the transition to more sustainable and efficient practices, this IIoT solution not only promotes more effective energy management but also aligns industrial operations with sustainability and corporate governance values, shaping the future of energy efficiency in industry.

Application
Ensure energy efficiency and prevent fires with Electrical and Control Panel Monitoring
The Electrical and Control Panel Monitoring catalog shows how Bridgemeter, Above-Net 's Industrial IoT predictive analytics solution, enables intelligent remote monitoring of any electrical and control panel in real time.
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