Industrial AIoT is Evolving
At the beginning of the 21st century, the use of IoT sensors existed primarily within the manufacturing sector. Today, with the rapid growth of artificial intelligence (AI), industrial AIoT is evolving towards green manufacturing and renewable energy. By providing corporations with innovative ways to optimize solar management production and reduce costs, industrial AIoT is streamlining renewable energy capabilities and advancing natural energy production, including wind and solar. Similarly, companies now have the ability to optimize supply chain and manufacturing operations, thus marking a significant paradigm shift across energy management and sustainability. With this convergence of AIoT and energy, this blog will explore how predictive maintenance, operational efficiencies, and sustainability are advancing the future landscape of renewable energy.
Paradigm Shift to Green Manufacturing
This paradigm shift to green manufacturing has enabled corporations to utilize the power of predictive maintenance. With the evolution of industrial AIoT, modern factory operations have integrated predictive maintenance into their essential systems. By serving as a catalyst for efficient production, industrial AIoT ensures that production lines are both more efficient and sustainable.
For example, sensors and monitors are integrated into machinery and factory equipment to monitor variables that may indicate potential equipment issues. This AIoT-based predictive maintenance is even more critical for ensuring machine reliability and safety. Machine data, including operating temperature, supply voltage, current, and vibration are collected wirelessly through sensors, then sent real-time and centralized within cloud-based data storage. Maintenance teams then gather data from this storage system and analyze it using predictive analytics software, powered by AI and machine learning algorithms, to derive actionable insights for repair and maintenance.
Likewise, energy management systems (EMS) play a critical role in this subset of green manufacturing. EMS uses computer-aided tools to monitor, control, and optimize the performance and generation of transmission systems while optimizing energy systems by reducing costs and utilizing digital technologies. Furthermore, data analytics are used to monitor, control, and enhance energy consumption and production processes, in turn promoting environmental sustainability. This includes actions such as replacing faulty equipment, reducing energy usage, avoiding load peaks, and optimizing production. With industrial AIoT, predictive maintenance enables businesses to reduce overall energy consumption.
Operational Efficiency in Electric Vehicles
Operational efficiency in smart charging has wide-ranging applications, from smart meters to electrical grid management, to charging for electrical vehicles. These applications are shaping the future of transportation by removing large amounts of carbon emissions off the road, through enabling the infrastructure of electric vehicles. According to a recent study conducted by leading research firm Carbon Brief, the use of electric vehicles on the road has reduced the level of carbon emissions by over 60% in the past five years. As an essential part of a clean energy future, the electrification of vehicles substantially reduces harmful ground-level ozone, the principal component of smog, because it lowers net emissions of nitrogen oxides (NOx) and volatile organic compounds (VOC).
Another example of AIoT operational efficiency in EVs lies in the data. With the integration of AIoT technology in electric vehicles, real-time data collection can be processed and analyzed to monitor the vehicle’s overall health, ensuring it continues operating at optimal capacities.
Solar Energy for Sustainability
Similarly, industrial AIoT advances the growth of sustainable energy by using its technology to connect sensors and streamline networks within complex energy grids. This gives operators the flexibility and power to monitor, manage, and optimize solar power generation. Real-time monitoring of critical data for individual solar panels, including current, voltage, irradiance, temperature, and energy output, is now possible. Another key benefit is that this data can be collected from any location to determine whether systems are operating correctly. Thus, by being able to identify degradations or failure points down to the specific panel remotely, industrial AIoT improves operational efficiencies furthering the longevity of sustainable energy projects on the whole.
Finally, as solar technology has advanced, the opportunities for individuals and businesses to harness the sun’s energy for financial and environmental gains have significantly increased. Solar power is a premier source of renewable energy for the 21st century, and both state and federal policymakers have approved legislation to advance its adoption. Solar policies and regulations promote the widespread adoption of renewable energy sources (including solar PV systems, rooftop solar, and solar energy systems) by creating a framework for developing and integrating renewable energy projects. By setting clear guidelines, renewable portfolio standards, and financial incentives, solar policies ensure a consistent and sustainable approach to energy production. This reduces reliance on fossil fuels and mitigates the harmful environmental impacts associated with traditional energy generation.
An Eco-Friendly Future
The convergence of AIoT and energy enables predictive maintenance, operational efficiencies, and sustainability to advance renewable energy policy for a cleaner and brighter future. The potential of industrial AIoT for green manufacturing, smart charging, and solar farms is ushering in a new era. Together, corporations and citizens can make the world a greener place to live, and ADLINK Technology is here to help. Learn more about the EMU-200 series, our best-in-class Arm-based IoT gateways for renewable energy monitoring and smart manufacturing. Contact us online here now for a free demo!