One of the greatest contributions of Internet of Things or IoT is that it created a stable connection between mechanical systems and software driven applications. With the rise of Industry 4.0 and advanced development in IoT as well as cloud computing, integrating as well as controlling mechanical equipments has become much smoother and streamlined. Industrial IoT offered a new opportunity of seamlessly controlling heavy machineries in factories with actuators and smart sensors for enhancing manufacturing processes. Applications of Artificial Intelligence (AI), Machine Learning (ML), Virtual and Augmented Reality (VR & AR) have significantly impacted the industrial work by providing seamless control of mechanical devices and data exchange. Applications of data analytics also boosts up manufacturing processes by detailed analysis of real-time data.
Advantages of IoT in Mechanical Engineering
- More output is generated within less time with the implementation of modern technology. As a result, it increases machine performance and overall production.
- Smart sensors attached with machineries would successfully detect resent conditions. Therefore, automatic maintenance of machines is possible.
- With the help of IoT, constant monitoring of all equipments in a factory or an industrial plant is possible without any difficulty.
- Device-to-device communication becomes convenient using IoT applications which create a significant outcome in increasing performance.
- Implementation of IoT is cost-effective and offers control as well as automation over mechanical devices.
Implementation and application of IoT services has revolutionized the industrial procedures and paved a new way of equipment maintenance and device monitoring. With further development of modern technological solutions, automation has become the main objective for business as well as industrial activities. Asset maintenance using automated solutions has become the major focus for further development and created advantages for business activities which include cost reduction, compliance regulations and avoiding unplanned downtime.
IoT Based Predictive Maintenance Solutions for Industrial Machineries
Nowadays, machines used in factories and industries are maintained using IoT-based solutions. Gone are the days when routine manual checkup are conducted to examine working conditions, the modern world relies on digital solutions powered by IoT for seamless maintenance of machineries. IoT predictive maintenance uses continuous or periodic monitoring of assets to identify present conditions and determine whether repairing activities are required or not. It has been estimated that IoT-based predictive maintenance in industries and factors can cause:
- Cost reduction by 12%
- Uptime improvement by 9%
- Asset lifetime extension by 20%
- Safety and improvement by 14%
IoT sensors attached to machine parts collect real – time data regarding present efficiency, machine health and possibility of failure in near future. Then the collected data is processed to develop plans of actions based on generated information. Systemic schedule of optimal maintenance, routine inspection to avoid machine failure and unnecessary efforts can be achieved using IoT-based predictive maintenance solutions. With the advent of Industry 4.0 and smart factory, IoT solutions give an edge in asset utilization, asset life extension and improvement in field crow efficiency.
With the rapid development and implementation in the field of IoT, there is a high demand of an efficient service provider that has in-depth knowledge about modern technologies and resources. Alpha-Numero is a AS 9100D and ISO 9001certified organization that offers services about IoT, Big Data, BI & Analytics, Cloud Computing, Custom Software Development and many more. The Alpha-Numero group is one of the leading organizations capable of delivering top-notch IoT-based solutions. Do visit the official website www.alpha-numero.com for further information related to IoT services and email at sales@alpha-numero.com in case of service assistance.
