WHAM (Weighted Heuristic Analyzer Monitor) is a lightweight, cross-platform expert system for assessment of candidate water sources based on public regulations. Using no reagents or destructive methods, it executes sensor measurements in real-time and analyzes those measurements in parallel to provide instantaneous sample assessment. One of the “sensors” in particular includes FTL’s custom spectroscopy analysis software, which employs a machine learning algorithm to classify water condition automatically based on clarity standards which traditionally have required a technician to evaluate them.
Modular and flexible in its design, WHAM can be configured to interface with a wide variety of sensors and apply different sets of regulations based on context and need, using semantic computing algorithms to track, sort, and evaluate data based on a regulatory database. WHAM has been integrated with electrochemical sensors, particulate sensors, and spectrometers, and is versatile and scalable. WHAM has been used to characterize numerous water samples, including deionized water as well as local (Amherst, Massachusetts, USA) tap and pond water.