The internet of things (IoT) is gaining traction across industries where new IT capabilities and connectivity are driving innovation and operational efficiencies. Companies across the Industrial footprint are leading the way with exciting breakthroughs in industrial IoT (IIoT) that use big data, analytics and artificial intelligence (AI) to streamline production, enable predictive maintenance and improve quality across the entire product lifecycle.
Let’s explore how.
Multiple vehicle recalls have cost automotive companies billions of dollars. Product failures and quality issues are costly and can reduce productivity. The impact is more severe if you’re unable to rapidly discover the root cause.
Lumada solves the problem with predictive quality management. Using IoT sensors and 3D cameras, Lumada simultaneously gathers and analyzes human, machine and business data and measures worker movements. It detects assembly-line failures and shortcomings as they happen, and applies corrective action. Real-time predictive analytics identify potentially defective products prior to shipment, and advanced algorithms uncover deviations in work-related activities.
This aggregation and integration of data gives your operations a single consistent view for analysis and monitoring. Multilevel traceability pinpoints defective products so you can remove them before they are shipped. After implementing Lumada, manufacturers have achieved significant reduction in production costs and improved product quality and worker productivity.
With world energy consumption expected to rise 28% between 2015 and 2040, utility companies, power producers, and commercial and industrial customers are turning to renewable sources to help meet growing demands. However, renewable energy production fluctuates with weather conditions, making it difficult to predict availability from day to day.
Using sensor data, Lumada connects, measures, monitors and manages energy delivery in real time, while algorithms provide insights into weather conditions that impact availability. Machine-learning models prepare generation and trading plans based on market, capacity, demand, weather and pricing data. Lumada reduces downtime by using predictive maintenance to detect potential asset failures, and continually builds intelligence using machine learning and artificial intelligence.
As urban populations continue to grow, leaders around the world look for solutions to traffic congestion, inadequate parking and public transit, and an aging transportation infrastructure. From proactively managing shipping orders to enhancing business intelligence for airlines, to optimizing automobile traffic flows in cities, Lumada is reinventing transportation operations.
Lumada collects data to provide real-time monitoring of train performance, for example, and provides insights to optimize maintenance practices and overall operations. Predictive maintenance identifies malfunctioning door hinges, worn brakes, and transmission problems and other issues, so repairs occur before they impact passenger services.
Unique Flexibility for Industries: On-premises, in the Cloud or Both
Some organizations are not comfortable moving all your applications to the cloud, while others are now 100% cloud-based. It can run on the edge (on-premises), as a hybrid cloud or fully in the cloud. In addition to the examples described here, there are many innovative ways industries can put the power of IoT Platform to work creating smarter, more efficient and productive solutions.
Watch Hitachi’s Lumada IoT Platform in action:
This article was originally published at – Hitachi Vantara Community