What if you were able to predict the health and life of your assets before they cripple your network?
AssetThink is category of AI-powered apps that helps companies optimize asset management and performance. AssetThink integrates ALL relevant asset data – internal and external, structured, unstructured and IOT – to anticipate asset related issues and make recommendations in real time. AssetThink leverages App Orchid’s intuitive user interface to give users a snapshot of all relevant asset data in a single pane – giving them the ability to gain insights not possible before.
Integrated View of Asset Operations and Asset Health
Integrates ALL relevant asset data into a single pane view such as manufacturer, usage, specifications, age, detailed service history, location, etc.
Multi-dimensional analysis that provides insights and recommendations not possible prior, such as correlations between service calls and manufacturer types and customer type and service calls
Enhanced Asset Health Monitoring
Calculates asset health and asset life AUTOMATICALLY, utilizing deep learning techniques that can crunch millions of records daily
Faulty Asset Identification
Quickly identifies faulty assets by accessing all relevant data and combinatorial analysis
Revenue Loss Reduction
Identifies problem assets quickly and prioritizes them by highest risk and potential revenue loss, so that supervisors can dispatch crews to locations with highest risk assets
Intuitive User Interface
Requires no training – Google like interface makes it easy to access, retrieve and capture information quickly
AssetThink in Action
Asset Failures & Outages for European Electric Utility
Helped understand asset management conditions by analyzing failure signatures of assets combined with notes, specifications and employee “tribal knowledge.” Performed N-1 contingency visualization analytics to identify weak links on the grid allowing our customer to overhaul its grid development strategy and conduct fact-based grid upgrades saving millions of Euros.
Predict Grid Performance, Optimize Wind Turbine Positioning for European Energy Company
Using time series data from wind turbines, we helped park operators optimize and increase wind park output by analyzing wind patterns, turbine yaw and the ability to reduce wake effects within the park.