Industry 4.0 is mainly developed to reduce error rates, and boost the efficiency of production. Merging smart concepts with functioning, creating brand value, and productivity is the most significant step taken towards improvement. It is also expected that the emergence of industry 4.0 in the businesses typically eases the burden on the employees during production activities.
Following the trend of technological acceptance in various sectors, automation in the manufacturing process is triggering the use of smart condition monitoring systems. They are now a crucial part of industrial activities and contribute to improved productivity. Also, data-driven concepts work as assets to different industries to enable enhanced analysis and actionable insights.
Smart asset condition monitoring covers all possible parameters that are required to keep a machine in better condition. It checks the real-time status of the temperature, fuel requirement, environment, and other conditions that enable successful machine production. Thus, the significance of asset condition monitoring lies with the production quality. It is a highly useful concept in the industries that ensure enhanced asset performance.
Asset monitoring solution can be utilized efficiently to monitor the conditions of different industrial equipment and gain insights on various aspects, especially to keep a quality check. Industries using big machines and equipment require a proper tool or concept that helps in creating value for the production. It should also add intelligence to the assets so that they should not just perform but also interlink with each other and deliver seamless performance within the plant.
What Methods are Utilized to Perform Asset Condition Monitoring?
Condition monitoring supports different machines to detect information regarding their health and performance status. Such information can be utilized to gain insights, and prevent unscheduled breakdowns. It helps in cutting down the maintenance costs, and minimize the repair schedules. By integrating smart asset condition monitoring, you can optimize the machine performance and eliminate the risk of any failures. There are two primary methods that can be utilized to perform asset condition monitoring for the industries.
β Trend Monitoring
Trend monitoring is a way to constantly measure the machine data and clarify it for further analysis. It involves a quantifiable indication of component failure and trend study of the machinesβ running time. This helps in specifying the details about the asset condition whenever deterioration exceeds a critical rate.
β Condition Checking
It is a method that takes a check measurement using an acceptable indicator while the machine is running. It is then further used as a measure of machine condition at that particular time. Any abrupt breakdown or material erosion results in performance loss that might result in leakages and accidents. Hence, IoT condition monitoring helps remove such abnormalities at a regular pace and thus avoid damage occurring.
Benefits of Including IoT Condition-based Monitoring
There are huge benefits involved with IoT condition-based monitoring. It supplies numerous business advantages like cost reduction and smart management to improve overall productivity.
- β Cloud storage
- β Predictive maintenance tactics
- β Remote monitoring
- β Increased production efficiency
- β Improved asset performance
- β Enhanced ecological footprint
- β Better ROI
- β Real-time asset status
Including smart asset condition monitoring allows connected maintenance and innovative techniques to reduce overall costs and improve maintenance strategies. It enhances the ecological footprint by curbing extra and unnecessary energy consumption.
Smart condition monitoring uses an IoT-powered solution that gets installed on a particular asset and keeps on extracting data. This data is then sent on a cloud platform for further analysis and is reformed into useful information to be displayed on the smart dashboard. It helps enhance overall production, maintains asset safety, and promotes an increasing information-intensive environment where man and machines collaborate together. It also uses predictive analysis to provide better and data-driven results.
For instance, a wind turbine is likely to take 2000 readings each minute, making one terabyte of data every week. Thus, IoT creates an impactful image over various industrial domains in terms of data extraction and storing a huge amount of data over the cloud. By leveraging industrial IoT and smart condition monitoring, different kinds of businesses are now operating on data. It is enabling them to make higher profits and optimize the asset capabilities to a larger extent.
There are immense benefits in utilizing smart techniques like condition monitoring for different assets. It has now become easier to monitor the assets remotely and take necessary decisions in case of any interruptions. The industrial sector is significantly optimizing the usage of IoT technology to stay updated with each-and-every machine activity and reduce downtime occurrences to maximum levels. This is enabling the future of the companies and ensuring enhanced performance of the assets.