IOT, Manufacturing and Maintenance
IOT is recognized as a solution involving objects that are interconnected through computing devices, enabling the transfer of data over a network without human intervention.
You may think of advanced forms of technology such as AI or machine learning, others may think of smart home devices such as Amazon’s Echo, wireless speaker systems, home security and monitoring systems. But how is IoT relevant to manufacturing and maintenance needs?
Industry 4.0 represents the revolution of automation and data exchange in manufacturing technologies. As Industry Week describes it, it focuses on “creating an environment where all available information – from within the plant floor and from along the supply chain – is captured in real-time, made visible and turned into actionable insights.”
Machines are the livelihood of a manufacturer. This is why Industry 4.0 puts great emphasis on leveraging new technologies to ensure that machines are running effectively and efficiently. Having a computerized maintenance management system (CMMS) provides data and insights into daily operations. Having access to an automated, continuous supply of data will help reduce downtime and ensure that equipment is ready to meet the demands of the manufacturing process.
Machine-to-machine (M2M) communication constitutes an automated process that allows two machines to exchange data or other information without human intervention. M2M communication is dependent on sensors for condition monitoring so that it can predict when a failure or problem occurs. Sensors are installed directly into machinery and can measure a variety of factors, from temperature to vibrations.
With Machine IOT connectivity, potential machine failures can be predicted and addressed prior to the failure occurring which would save a significant amount of time and money. The use of real-time automation and data analysis will contribute to better decision-making at the manufacturing site. The aggregation of data will contribute to improved predictive analytic models.
Maintenance supported by IOT, allows for a more proactive maintenance strategy, less equipment downtime, a more cost-effective approach and a decrease in the number of emergency order requests.
When a machine failure occurs, data can be gathered and analyzed within the cloud. Such data will provide relevant repair options which can either be done manually by the technician, or by the system itself. The technician will have access to more accurate data for better, more efficient solutions.
Smart manufacturing harnesses the power of data collection and analytics to provide more insights, creating a greater level of efficiency in the running and maintenance of the facility. A powerful automated system that enables data collection in real-time is a fundamental way of improving asset reliability.