Predictive Maintenance Role in he AI-based Hardware Solutions

  • During the initial days of the Industrial revolution, the machines were simpler to use, which therefore resulted in fewer breakdowns. However, with time we have progressed to the 2nd and 3rd wave of the Industrial Revolution, and with technologies such as the assembly line and other types of rapid automation through the help of Programmable Logic Controllers (PLCs), Human Machine Interfaces (HMIs), and SCADA respectively, the whole idea of maintenance has grown magnificently.

    With technology thriving these days, you will see less manual labour and more automation training, as advanced machinery is dominating various industries. Moreover, in order to maintain their status, industries have started to analyse and closely study all the performance metrics and results that include output, overall equipment effectiveness, personnel productivity etc. 

    With the help of automation training, maintenance is now seen as an activity that is carried out only when there has been a breakdown which has now become the most crucial aspect. The concept of periodically scheduled maintenance has grown immensely. The inspection of the machinery helps to identify issues very early on in the stage so that the breakdown could be minimised or removed from its core, which means that the production stoppages can be reduced to a notable extent.

    Now with the 4th wave of the industrial revolution which is known as the Industrial Internet of Things or industry 4.0 has been incepted, majority of the emphasis is put on the equipment productivity, worker productivity and operation cost, amongst many other things.

    Basically, industrial IoT is related to all low-cost sensors to combine machine data and superior analytics to extract meaningful insights. It is believed that Industrial IoT will allow the manufacturers to enhance their productivity by 30%. The machinery strategy that helps implement advanced analytics to accurately predict any defaults in the machines is called Predictive Maintenance.

    Moreover, when you used predictive maintenance solutions, businesses will eventually get to know when to schedule the required replacement of specific parts, and when it needs to be altered by unproductivity caused due to faulty parts or installations, and last but not least, if there are any parts that are being cluttered and need to be washed. 

    For instance, the implementation of the predictive maintenance will let you know if there are any oil spills, by showing when the tank might overflow in advance. This greatly shows the significance of predictive maintenance as a part of AI-based hardware solutions and field services in the near future, especially when you are talking about the smart city challenges one faces.

    One of the companies that help you provide the same is Schneider, and it is one of the prominent and trusted global brands that is exploring the domain of predictive maintenance, to ensure your #LifeIsOn. As with the help of predictive maintenance, you can help technologies reduce downtime and increase and improve workplace safety. If you have regular access to the current state of the equipment, it will help you determine when maintenance is required.

    With the help of this marvellous technology, it will help the facility managers to comprehend the current state of their electrical distribution equipment. Furthermore, help monitor the condition of the equipment that provides trending data to help anticipate and plan maintenance activities.