Topic > Ways to deal with frequent train breakdowns in Singapore

Frequent train breakdowns have been a hot topic in Singapore in recent years. Singaporeans are dissatisfied with frequent breakdowns because they cause schedule disruptions and lost hours of productivity. An IoT platform that enables predictive maintenance techniques is the likely solution to this problem. With millions of data points captured and transmitted by sensors on critical train components, analytics can monitor part degradation and detect impending part failures. They can then repair the part ahead of time, rather than waiting for it to break, causing delays. The advantage of continuous predictive maintenance analysis is that maintenance occurs “in the right moment”, i.e. it occurs well before a failure but not unnecessarily early, so as to optimize the life of the part. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an original essay Lumada and Railway Predictive Maintenance by Hitachi Hitachi developed the Internet of Things platform Lumada. As a vertically integrated IoT platform, Lumada is designed to manage the entire lifecycle of different types of assets and devices. Measure performance in real time, build a statistically representative dataset over the asset's useful life, and perform technical and financial predictions and optimizations. Its modular and flexible architecture, together with public application programming interfaces (APIs), allows the implementation of third-party solutions (both proprietary and open source) even if already installed in the existing framework. Using its data ingestion tools, Lumada can visualize data from assets, store it in a SQL database and/or big data platforms. It can analyze the entire data lake through artificial intelligence and machine learning tools, implementing a specific workflow in response to the results achieved and integrating with corporate IT systems. The modular approach does not only deal with functions that can be integrated within the ecosystem. It also manages scalability in terms of the types and quantities of devices that can be monitored, allowing you to add and remove resources without impacting the overall availability of the solution. Please note: this is just an example. Get a custom paper from our expert writers now. Get a Custom Essay Even more advanced than quickly fixing train failures is being able to predict the lifespan and usage of the equipment so that it can be replaced before it fails, so failures will never occur. And for such an adventurous goal to be achieved, an entire ecosystem must be well thought out and put in place, and that's what Lumada intends to be. This is the future of industries and if Singapore wants to keep pace, this is the way to go. No more complaints about SMRT, no need for alternative shuttle buses, train delays. The productivity of the many workers and students who use public transport every day will not be affected and may even increase with smooth, uninterrupted travel.