Enhancing Energy Management through Machine Data Insights Using Leverage Fleet Intelligence Data Analysis

Format:

Book

Conference/Event

Author/Creator:

Nandre, Ratnapratik, author.

Contributor:

Joshi, Aaditya

Conference Name:

Off-Highway Technical Conference 2025 (2025-11-06 : Pune, India)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2025

Summary:

In the evolving landscape of energy efficiency and sustainability, understanding machine behavior in real-world operating conditions is essential. This solution introduces a data-driven Energy Management Dashboard designed to analyze and report critical machine parameters by leveraging LFI (Leverage Fleet Intelligence) and LFI Data (Local Field Intelligence Data). The tool serves as a robust solution for engineering and operations teams to gain actionable insights into machine performance and exposure.By tracking key parameterssuch as engine fan speed, coolant temperature, and machine speedacross a fleet of machines (with support for over 1100 unique signals), the solution enables real-time monitoring and historical analysis. It helps identify when parameters go outside their specified limits and assesses the resulting impact on overall machine performance.The core functionality includes:This solution architecture integrates seamlessly with existing data pipelines and leverages LFI data for contextual insights. The development process involved collaboration with the Ruse squad to ensure relevance to on-field challenges.The expected outcomes include improved visibility into machine usage, early detection of potential issues, and enhanced data-driven decision-making for field operations and energy management. By transforming raw machine data into clear visual insights, this solution empowers teams to take proactive measures in improving efficiency and reliability

Notes:

Vendor supplied data

Publisher Number:

2025-28-0330

Access Restriction:

Restricted for use by site license