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Frequently Asked Questions on IoT enabled Predictive Maintenance Solutions - Embitel

Designed and developed by an IoT team with over 11 years of Industrial Automation experience, our advanced predictive maintenance solutions offer the following benefits: - Higher Asset Availability - Improved Work-force Productivity - Optimized Energy Consumption - Lower operational costs - Fool-proof Industrial Asset maintenance & support system This is an honest and a humble attempt by our IoT Business and Technology Leadership teams, to answer all your frequently asked questions on IoT enabled Predictive Maintenance Solutions. Learn More about it here https://www.embitel.com/predictive-maintenance-solutions

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Frequently Asked Questions (FAQs) on IoT enabled Predictive Maintenance Solutions
This is an honest and a humble attempt by our IoT Business and Technology Leadership teams, to answer all your frequently asked questions. However, for more specific queries, please get in touch with our team for more detailed conversations and demos! Aartik Fernandez BUSINESSMANAGER aartik.fernandez@embitel.com Vidya Sagar Head - IoT & IVI vidyasagar.j@embitel.com Get in touch with Our Team Talk to Our IoT Leaders
FAQs | IoT solutions for Predictive Maintenance Q1. Can you share some details about your customer engagement models for Predictive Maintenance solution development? Ans: Our primary modes of engagement with our customers include the following: 1. Complete Solution Package: We will take care of the Design, Development, Maintenance, and post-deployment upgrades of the Predictive Maintenance solution. 2. Develop and Transfer Package: We will design and develop the IoT enabled Predictive Maintenance solution and then transfer it (including the IP rights) to your in-house team. Once deployed, your in-house IT team can manage the maintenance and operations of the entire system Post-deployment, we would also help your team for any system upgrade related support. Further, the customers can purchase our subscription based solution upgrades, released periodically, and under any of the above specified engagement models.
FAQs | IoT solutions for Predictive Maintenance Q2. What are the different ways in which my business organization can use the information aggregated by your IoT based Predictive Maintenance Solution? Ans: An information-intensive system like Predictive Maintenance can be a value-addition for your industrial facility by enabling reliable remote asset maintenance. You can leverage Predictive analytics information to: 1. Proactively plan your asset maintenance schedule, which enables enhanced asset availability & productivity. 2. Have a deeper understanding of the failure conditions of your industrial assets. The Predictive analytics information can be used to identify the root cause of the failure, as well as list down additional evaluation metrics required for efficient monitoring. 3. Review & improve the existing design of your industrial equipment to address faulty behavior or a design mistake of the equipment at an early stage. This helps in saving unnecessary operational cost and overheads. 4. To preempt any major hazard by identifying and reporting any inconsistency in the equipment behavior. This minimizes the equipment downtime and need for expensive replacements.
FAQs | IoT solutions for Predictive Maintenance Q 3. My industrial production setup is based on legacy model. Can I integrate it with your Predictive maintenance solutions so that I can monitor them better? Ans: Yes, you can. If your industrial assets have well-defined software interfaces that aggregate data from the equipment externally, then our Predictive Maintenance solutions can easily coexist with your legacy industrial production systems. Q4. What are the different alert mechanisms included within you IoT solutions to caution the floor team of a potential failure or hazard? Ans: Our Predictive Maintenance Solutions comes with variable failure notification/alert mechanisms to caution you floor team about any possible equipment failure or an impending hazard. The alert notification can be send to the in-house maintenance team as: • Email alerts , or • Text based alert messages through any of the standard messaging applications such as SMS or WhatsApp
FAQs | IoT solutions for Predictive Maintenance Q5. I am confused between choosing a – on-Premise or on-cloud – model for storing by production, line data. Which one should I choose? Ans: It is advisable to have a basic checklist ready before choosing between an On-premise & On-cloud model to store and process the critical data aggregated from your industrial asset data. The checklist must include the following factors to help you make an optimal decision: • The allocated budget for the project. • Defining how much and what all type of data needs to be stored (real –time data, historical data etc.). • Number of times each device or equipment is used for daily operations. • Frequency of assessing and evaluating the equipment. • Annual operating costs Q6.What skill sets are required for developing a Predictive maintenance solution? Ans: A team involved in developing efficient IoT Predictive maintenance solution should comprise of: • Hardware Engineers • Network design Engineers • Embedded Firmware developers • Cloud Computing Experts • IoT Architects and developers • Big Data Experts • IoT communication protocol Experts
FAQs | IoT solutions for Predictive Maintenance Q7. Can you please tell me about some successful customer collaboration for Predictive maintenance solutions? Ans: Over the past few years, we have helped numerous business organizations in efficiently monitoring and managing their capital intensive Industrial Assets. Here is the snapshot of one such partnership: • We partnered with a leading supplier of electric & automation systems for Industrial Plants for efficient monitoring &management of UPS Battery monitoring System. • Our IoT team designed advanced IoT platform to enable predictive maintenance for their UPS battery • Our IoT automation solution facilitated a seamless maintenance operations to be executed, by identifying & isolating the discharged batteries at an early stage. Our Predictive maintenance solution helped the customer in better management of the UPS Battery monitoring System and lead to following positive outcomes: • Reduced the overall cost of ownership • Minimized System downtime according to the desired SLA • Managed the load balancing issues caused by charging and discharging cycles of the UPS battery. (Please contact us to know more details and success stories on Predictive maintenance solutions)
FAQs | IoT solutions for Predictive Maintenance