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IOT-Powered Substation Surveillance System

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 An IoT-based substation monitoring system provides an intelligent and efficient means for the continuous, real-time observation of critical parameters in power substations, overcoming the shortcomings of conventional monitoring that predominantly depends on manual inspection. This system incorporates IoT sensors to continually monitor voltage, current, temperature, humidity, and gas levels (including SF6), hence evaluating the operational integrity of substations. The gathered data is conveyed across secure networks to a central server or cloud platform for processing and analysis. The system use predictive analytics to detect early indicators of equipment failure or performance irregularities, activating warnings for prompt intervention. This reduces downtime, averts expensive repairs, and prolongs the lifespan of essential substation components by facilitating condition-based maintenance instead of conventional, time-based inspections. Operators can obtain real-time data and alarms via an intuitive online or mobile interface, enabling remote monitoring of substations and facilitating timely, data-informed choices. The IoT-based monitoring system improves operational safety, efficiency, and reliability in energy distribution through remote oversight and rapid response capabilities. This technology-centric strategy not only diminishes maintenance expenses and enhances asset management but also fortifies the power grid’s resilience, allowing it to satisfy escalating demands for stability, automation, and efficiency.

Predictive Maintenance Solution for Logistics Robotic Cell

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The Industry 4.0 trend is known as being the next industrial revolution. The major change introduced by this concept, is the digitalization of the industry. The manufacturing field that has been already transformed into automation (being considered as the third industrial revolution) need to be connected, to be gathered data based on witch new business value is expected. The logistic domain suffered also a lot of change along the last years. Robotic cells are deserving logistic chains and maximizes the outcome. Together with the use of robotic cells, machines are used as a service, in which they are being paid as much as they produce. Robots cells as a service, in the word of selling everything as a service. For this business model, predictive maintenance is an important aspect, since a not working cell, can’t generate value and revenue. Current research approaches the predictive maintenance solution for logistic robotic cell, in order to increase the uptime of the machine, and therefore the output. Logistic machine producers sell the cells as a service and assumes all the risks that appear.