Emissions-Based Maintenance AI
Patent Portfolio
The Predictive Maintenance AI: Patented Technology for Engine Efficiency & Fleet Fuel Savings
EBM AI (Emissions-Based Maintenance Artificial Intelligence) is a sophisticated software system that primarily falls under Predictive Analytics and Rule-Based Expert Systems. At its core, the AI analyzes real-time sensor data from internal combustion engines, focusing on both emission components (e.g., NOx, O2, CO2) and operational parameters (e.g., RPM, load, turbo boost). It functions as a specialized diagnostic engine, leveraging Pattern Recognition and Anomaly Detection to compare engine performance against the optimal operating profile and to provide engine diagnostics derived from emissions tests. When the EBM AI identifies a deviation that matches a pre-defined "triggering condition," it doesn't just flag an anomaly; it executes its expert system logic to generate a precise, actionable output delivered to mechanics and maintenance technicians to schedule repairs.
The technology's true differentiation lies in its hybrid AI approach. While its initial rule-set is built on codified human expertise from master mechanics, its operational model is a form of Condition-Based Monitoring that enables Autonomous Systems. The entire process—from data ingestion to command generation—runs automatically without human intervention, making it a practical application of the Industrial Internet of Things (IIoT). By diagnosing issues based on the root cause (combustion health) rather than simple fault codes, EBM AI provides a proactive maintenance solution that directly addresses operational inefficiencies before they lead to failures or excessive emissions.
In the broader AI ecosystem, EBM AI is a powerful vertical solution. It is not a general-purpose AI but a highly specialized tool designed for the massive global transportation and heavy equipment industries. It fits squarely into the industrial and mechanical world, transforming the art of engine diagnostics into a scalable, data-driven science. By improving fuel efficiency, reducing downtime, and ensuring emissions compliance, EBM AI delivers a clear return on investment, positioning it as a critical "sweet spot" application of AI that solves multi-billion dollar problems in traditional, physical industries.
Hidden Engine Performance
Degradation Solved by EBM AI
EBM AI provides options to implement the technology and gather emissions data using standard off-the-shelf emission testing equipment, or to use autonomous testing algorithms EBM has developed that leverage engine sensor and ECM information to test engine combustion autonomously. These measurements are compared against EPA engine certification data (ISO-8178) as a baseline.
Engine owners often don't realize there are gaps between expected/optimal levels and actual engine operating conditions. EBM’s solutions apply to high-horsepower diesel engines, such as those used in mining and quarrying, stationary power and pumping, locomotive prime movers, tugboats, and marine vessels. It is also helpful in fleet operations.
EBM AI advances the state of the art well past manual testing and analysis. It’s taking the Internet of Things (IoT) technology and marries it with AI for a clean-tech solution that improves engine performance and longevity, and helps maximize key equipment availability time and minimizes costly in-field engine failure.
US PATENT ABSTRACT
An engine maintenance set can be generated via a computerized system using engine status data for an internal combustion engine. The generating can include operating on the engine status data using a set of computer-readable maintenance set generation rules, with the rules correlating an engine maintenance set with a triggering condition. The generating can include determining that the triggering condition is met, with the triggering condition including each of one or more triggering parameters being within one or more corresponding triggering value ranges. The triggering parameters can include at least one engine emission triggering parameter. The generating can further include producing the engine maintenance set using the maintenance set generation rules. The generated engine maintenance set can be issued, with the engine maintenance set including one or more commands to perform one or more maintenance operations to improve the efficiency of the engine and/or one or more engine status notifications. 43 Claims, 4 Drawings