What Is Engine Angel?
Engine Angel is an application software and a database that operates in the cloud to integrate and synchronize your fleet data to provide predictions and risk analysis to help you operate more efficiently and safely. Although we have great plans for expansion in the future, we currently are focused on the improved operation of your equipment engines.
Our approach is to collect data already available to you and provide methods for some additional data inputs to keep the cost, error-rate, and time required down. We then harmonize that data (put it in consistent units of measurement and formats) and synchronize it (line it up in the sequence of events, no matter the time-zone).
- You upload and analyze your ECM data from your engines to understand the workload and performance of each engine. Currently, this is available for Detroit® engines but we are interested to expand to other ECM systems.
- We upload and analyze SenX FirstLook® sensor data (SenXtech.com) to determine the physical integrity of the engine giving ”scores” to components (senxsm.com)
Engine Angel is designed for many businesses that use internal combustion engines. Some fleets use semis with tractors and trailers; others use trucks with cargo on the same frame; buses with passengers; ships and yachts; tug-boats might pull barges; farm tractors pull a variety of machines; and even stationary generators and pumps can be managed as fleets of engines that don’t move, but output product besides moved cargo.
We use the term, vehicle, to represent a unit that is self-propelled and may be pulling another cargo carrying vessel (trailer); in the case of stationary engines, engines are placed in certain facilities. Engines might be primarily for propulsion (typical case) or might be providing energy for refrigeration, air conditioning, or other ”pony” role.
Like many other products, Engine Angel provides a family of reports showing how the equipment has been performing in the past. In addition, Engine Angel focuses on the future using forecasting (trend analysis projecting one operational parameter into the future using its past) or, more powerful, using prediction where we calculate future risks from models that include many factors.