Modern industry is a complex ecosystem of equipment, sensors and systems, each with its specific interface and communication protocol. This diversity is the result of technological evolution and the need to meet different production requirements. However, this diversity also brings significant challenges in terms of data automation, integration and analysis.
Control of these equipment may range from electromechanical boards to complex controlling with automated embedded systems. Remote monitoring must therefore adapt to a multitude of instrumentation options-for simpler frames, or even shipped controllers who in turn have distinct communication protocols such as Modbus, MQTT, OPC-UA, Ethercat, among others. The big challenge is to add centrally and uniquely, all variations of the application.
Industrial interoperability with Bridgemeter: integrating sensors, controllers and systems at IIOT with flexibility
The integration of different devices, protocols and systems can be complex. Some tools available on the market focus on a particular application or equipment which restricts connectivity and increases the number of control systems. The convergence of a plant is critical to generating a rich database that is able to provide insights from applied intelligence.
The initial difficulty is the choice of communication equipment compatible with the physical interface of the sensor or controller. A unique model is ideal as it facilitates the exchange between different points of a monitoring network and reduces the total cost of the solution. In addition, all field equipment should be able to communicate through their protocols by the same communication equipment chosen. Otherwise it is unfeasible to manage such a wide range of equipment, then reducing the scope of the application.
Lack of flexibility is one of the main limitations of many traditional management and monitoring solutions and systems or those internally developed by the company.
They are usually designed to meet a specific set of requirements or types of readings, which can make it difficult to adapt to change. Additionally, they do not allow rapid and dynamic changes, and cannot anticipate and notify predictive and proactive fault events in real time. This can result in operational inefficiency and ultimately non -compliance with the service level.
Bridgemeter , IOT (Internet of Industrial) CLOUD solution, developed by ABOVE Above-Net , solves all these challenges. Its flexible architecture allows communication with a variety of equipment with different interfaces and protocol support, making it compatible with any sensor, whether analog or digital, or equipment, regardless of its controller.
The key to Bridgemeter's flexibility is its 100% parameterable interface and a layered architecture. This allows the separation of structured connection features, data and processes in a structured way ensuring interoperability and convergence in a single platform.
In addition, Bridgemeter offers over 150 types of protocols, allowing the plug and play concept of any equipment or sensor.
Intelligence for more efficient operation and maintenance
But interoperability is just the beginning. Bridgemeter also offers a number of other benefits that make it a valuable tool for operating and maintenance teams.
One of these benefits is the ability to anticipate failures and notify them in real time. This is possible thanks to the parameterization of intelligent rules that allows Bridgemeter to take over the operation continuously and autonomously. This intelligence empowers maintenance teams to act even before the customer's call or perception by the control center, saving valuable time and resources.
Bridgemeter also integrates an automated task management system for shooting field maintenance processes. It means that maintenance tasks can be programmed and managed in a standardized manner, reducing inactivity time and improving operational efficiency.
In addition, Bridgemeter is compatible with SCADA systems as it adds value and intelligence to the operation and also transmits the information in real time legacy systems. Data collected and stored in a structured way can be analyzed by Bis or other market tools, providing valuable insights that can be used to improve efficiency and productivity.
Conclusion: the reality of predictive maintenance and operational efficiency
With the implementation of Bridgemeter, the predictive maintenance paradigm and operational efficiency is no longer distant. This robust tool proves to be indispensable for operation and maintenance teams, bringing with it the reality of maintenance on condition in whatever the complexity of the collection point, with a more connected, intelligent and resilient industry.
Interoperability, once seen as an insurmountable challenge, is now a tangible and affordable reality, ready to explore for the benefit of the industrial digitization process.
*The term digitization is used to define 100% digital processes that do not go through scanning processes.
