Big companies usually utilize large number of capital assets at every stage of their production process, any failure in these assets will cause shutdowns, increase in cost and majorly there is a diverse effect on the production process. So experienced technicians are identifying all the failures and quickly fixing those bugs permanently. However, over the years there has been a low interest in the service field, leading to dropping of experienced technicians.
To fill the gap, businesses are leveraging the latest technologies like the Internet of Things (IoT) and augmented reality (AR). These technologies can change the industrial maintenance and service field process by gathering data in real-time and altering them into actionable information on an immediate basis. This process is termed as predictive maintenance and in some critic situation they diagnose the problem by accessing machine controls. These technologies enhance the skill set of the field technicians and increase their productivity. Thus, the combination of IoT and AR can simplifies the shortage of skilled industrial workers and increases the utilization of valuable capital assets.
Following are the points to be considered to increase capital assets uptime:
Connect assets with IoT: To monitoring the performance and diagnosed remotely the very first step is to equip capital assets with sensors and connect them to the IoT technology. This real time monitoring helps in making the operating decisions in the organization.
Leverage analytics to detect problems: Machine Learning system identifies the flow of data stream from the sensors to know what exactly deep inside the complex machinery. According to the past analysis, the failures can be used to relate sensor readings and the errors can be minimized from the workplace.
Problems can be solved remotely: Predictive maintenance system detects the problem on the plant floor, rather spending time and expense on detecting problem from the machine, a remote technician can step ahead and diagnose the problem based on the information available from the sensor data. Hence the remote technician now able to address all the possible cause remotely.
Dispatch a technician: If all the issues can't be solved remotely, then the next step taken by remote technician is to change the status to "dispatch required". Now with the help of predictive analytics, then application will automatically generate a work command which will include all the information on the problem.
Leverage AR to diagnose the problem on site: AR application diagnoses the problem immediately on site by using real-time data, knowledge based on past analytics. AR now can be used on the smartphones, tablets or smart glasses to see the sensor readings and other diagnostic problem.
Order parts and complete solutions: After leveraging AR to diagnose the problem on site then the field technician can analyze and select the part needed for the repair. Ordering the parts and billing procedures all are handled by the AR applications which will create the good experience for both the parties.
Hence, successfully implementing IoT into the capital assets and leveraging AR in business helps to quickly solve the problem, capital assets can improve on time and the maintenance cost will get diminish. In coming years emerging technologies like AI, IoT, AR and ML will find greater adoption in multiple verticals and industries.