Artificial Intelligence (AI) has penetrated our lives like never before! Whether it is booking a cab, making digital payments, or working on a project, AI is revolutionizing the way we work and deliver results. From a commercial perspective, AI has become a reckoning force in asset-intensive industries in transforming operational processes, particularly industrial maintenance for superior outcomes. To put it straight, AI is the next big revolution in asset-intensive sectors which plays a significant role in assessing the health of the equipment using predictive insights. These predictive insights are particularly useful in probing potential incidents and helping in implementing the right maintenance programs, saving a lot of resources.
In this blog, we will throw light on how AI is revolutionizing maintenance operations in asset-intensive industries, its benefits, and how an AI-driven mobile maintenance solution can deliver the right predictive insights, fostering good maintenance practices.
Let’s critically understand how AI is transforming maintenance operations, specifically in helping mitigate incidents by leveraging predictive insights.
AI works with data. AI probes historical data to find trends and patterns that indicate potential dangers. When AI analyzes past incident reports, it can reveal a couple of factors leading to near misses, triggering changes in handling procedures.
An AI system tracks the workplace environment using sensors and cameras, thereby analyzing the data to predict any instant hazards. When applied to mining, AI can successfully monitor the equipment, thereby alerting the workforce about any potential faults in machinery. This in turn helps in reducing accidents that sometimes seem fatal.
Machine learning algorithms learn historical data to anticipate impending dangers, triggering alerts in high-risk situations. If you consider the oil & gas industry, these algorithms can predict pipeline leaks, based on abnormal pressure levels or recording temperatures above the permissible limits, thereby prompting you to take action at the earliest.
AI concentrates on anonymized data and federated learning, so any sensitive data always resides on local systems, ensuring high-level security. This approach provides a strong balance between safety improvements and ethical information use.
AI records and analyzes its findings, incidents, and trends in real-time, helping safety officers receive timely alerts and detailed reports. This in turn helps with easy compliance tracking, eliminating costly fines and penalties.
While we have discussed the role of AI in predictive maintenance from a broader perspective, there’s another AI stream – Generative AI that is penetrating extensively in plant maintenance. Though this blog doesn’t cover in detail the role of Generative AI in plant maintenance, let’s briefly understand what it is and how it intersects with predictive maintenance.
Generative AI is a branch of AI and refers to AI systems capable of creating new data or content by learning patterns from existing datasets. In predictive maintenance, Generative AI optimizes traditional analytics by simulating equipment behaviors, generating synthetic data, and identifying early signs of failure.
With this approach, you can gain more accurate predictive insights, irrespective of the quantum of data (works even with limited information), and help your organization predict equipment issues before they snowball into major problems.
A data-powered AI system offers real-time predictive insights related to vigilance of workplace environments, enabling instant detection of any safety flags.
AI forecasts potential hazards beforehand by analyzing historical and current information, helping organizations to take precautionary measures to minimize the incident occurrence.
AI leverages advanced technologies like image recognition and data analysis to probe hidden and missed hazards, taking workplace safety to the next level.
While we have discussed the role and benefits of AI in mitigating industrial hazards and forging good safety practices, the next question that arises is how you can implement AI at your workplace. Since your workforce is scattered across different locations, working even remotely, a solution that can be easily accessible by every team member – right from a front-line technician to a C-Suite Executive is the need of the hour. What solution could be best rather than adopting a handy mobile maintenance solution, that connects with your ERP systems, and provides instant access to real-time updates? In this context, look for a good mobile maintenance solution as offered by Propel Apps, a leading supply chain transformation company.
This solution leverages advanced technologies like AI, Machine Learning, and IIOT, while seamlessly integrating with your in-house ERP systems (Oracle or SAP) to revolutionize your asset maintenance, taking safety practices to the next level. This ensures that your team always has real-time access to work orders, asset data, and maintenance insights at their fingertips, anytime, anywhere.
With the right predictive insights about your equipment delivered straight to your mobile devices, you can instantly analyze and check the health of your equipment, probe for any serious hazards, and schedule maintenance as needed. To know more about this solution and how it empowers your workforce to follow the best safety practices, schedule a free demo with us.
With AI making inroads into every knowledge domain including industrial production and maintenance, manufacturers need to keep abreast with the latest developments to stay ahead of the competition. By adopting a good AI-powered mobile solution like that offered by Propel Apps, your workers and supervisors can easily identify potential dangers beforehand, while getting valuable insights about when and how to schedule the right maintenance programs. Any industrial operation aims to minimize hazards and forge a strong safety culture, which is what the objective of AI is.
