In sectors where risk mitigation is integral to operations, Industrial IoT (IIoT) is a transformative technology, revolutionizing how risks are monitored, averted, and addressed. Dr. Bijal Sanghvi, Managing Director of Axis Solutions, explains how various technologies, from people and asset tracking to predictive maintenance, are making a significant impact. Axis Solutions equips high-risk industries with essential real-time insights to enhance safety measures, reduce accident rates, and streamline process management. In this interview, Dr. Sanghvi discusses how IIoT advancements are improving safety and efficiency in industries operating in highly challenging environments.
TAM: How is Industrial IoT improving safety protocols in hazardous environments, and what specific IoT-enabled technologies are making the biggest difference in preventing accidents and mitigating risks?
Dr. Bijal Sanghvi: Industrial IoT (IIoT) is improving safety in engineering and manufacturing by enabling real-time monitoring and predictive maintenance. For instance, IoT sensors on manufacturing equipment detect early signs of malfunction, helping avoid accidents like machine breakdowns. In chemical plants, wearable devices monitor workers’ health and environmental conditions, alerting them to gas leaks or hazardous situations. Smart alarms also provide instant notifications, allowing immediate action to prevent risks. At Axis, we leverage IoT in our automation systems to offer real-time insights and proactive alerts, ensuring enhanced safety and risk mitigation in hazardous environments.
TAM: What role does real-time monitoring play in reshaping safety practices in high-risk industries, and how does Industrial IoT enable more immediate and accurate incident responses in hazardous conditions?
Dr. Bijal Sanghvi: Real-time monitoring plays a crucial role in reshaping safety practices in high-risk industries by providing instant data on equipment and worker conditions. For example, in manufacturing, IoT sensors on machines detect overheating or malfunctions, allowing immediate shutdowns before accidents occur. In chemical plants, real-time monitoring of gas levels can quickly alert workers to evacuate in case of a leak. This instant feedback helps prevent incidents and improves response times. At Axis, we integrate real-time IoT monitoring into our systems, enabling faster, more accurate responses to hazardous conditions, ensuring better safety and risk management for our clients.
TAM: Can you elaborate on the cost benefits for industries that adopt AI and IoT-driven predictive maintenance solutions, and how Axis Solutions support clients in achieving these outcomes?
Dr. Bijal Sanghvi: Adopting AI and IoT-driven predictive maintenance solutions offers industries significant cost benefits by reducing unplanned downtime, minimizing repair costs, and extending equipment life. These technologies help predict failures before they happen, leading to more efficient maintenance schedules and lower operational costs.
We support clients in achieving these outcomes through tailored automation and analytical systems. Our expertise ensures seamless integration of AI and IoT into their existing processes, providing real-time data insights and customized solutions that optimize performance, reduce costs, and enhance overall productivity, ensuring a smooth transition to Industry 4.0.
TAM: Could you share any recent case studies or examples where Industrial IoT implemented by Axis Solutions has significantly improved safety and efficiency in industries dealing with hazardous environments?
Dr. Bijal Sanghvi: Axis Solutions has successfully implemented Industrial IoT solutions in various industries, enhancing both safety and efficiency, particularly in hazardous environments. For example, projects with PIL, WAPCOS, and Jal Jeevan Mission (JJM) have showcased Axis’s ability to provide end-to-end IoT solutions. These implementations have enabled real-time monitoring, predictive maintenance, and improved process control, minimizing risks and downtime. By leveraging advanced IoT technology, Axis has optimized operations while ensuring compliance with stringent safety standards, delivering unparalleled results in complex industrial settings.
TAM: Looking ahead, how do you foresee AI and IoT evolving in the realm of predictive maintenance, and what innovations are Axis Solutions working on to stay ahead of the curve in this transformative space?
Dr. Bijal Sanghvi: As I can foresee AI and IoT will transform predictive maintenance with smarter, autonomous systems, real-time monitoring, and advanced analytics. Upcoming trends include AI-powered self-repairing machines, 5G-enabled IoT, edge computing, and digital twins, all of which will drive the next industrial revolution by enhancing efficiency and reducing downtime. We at Axis are at the Forefront and we are adapting to these trends by developing innovative automation solutions that integrate AI and IoT into industrial processes. We focus on helping clients leverage these cutting-edge technologies, ensuring they are prepared for the future of engineering with improved performance, cost savings, and sustainability.
