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Testing the Waters: An Olympic‐Size Task
Author(s) -
Kroll Dan
Publication year - 2008
Publication title -
opflow
Language(s) - English
Resource type - Journals
eISSN - 1551-8701
pISSN - 0149-8029
DOI - 10.1002/j.1551-8701.2008.tb02011.x
Subject(s) - beijing , computer science , estimator , quality (philosophy) , set (abstract data type) , task (project management) , signal (programming language) , data mining , fingerprint (computing) , baseline (sea) , matching (statistics) , event (particle physics) , process (computing) , real time computing , artificial intelligence , statistics , engineering , mathematics , china , systems engineering , geography , philosophy , oceanography , physics , archaeology , epistemology , quantum mechanics , geology , programming language , operating system
This article discusses security measures used to protect the water supply for the 2008 Summer Olympic Games in Beijing, China. The Beijing Health Ministry invested in multiparameter monitoring technology coupled with intelligent algorithms to meet their criteria. The article discusses the technology involved in multiparameter monitoring, an approach that uses a number of sensors that are available as off‐the‐shelf water quality monitors. Overlaying the operation of these basic water quality sensors is an intelligent algorithm that triggers a signal when it detects a deviation from the water quality baseline, and categorizes the event as to its possible cause. The article explains in detail the process of parameter identification of a signal, the proprietary baseline estimator, the magnitude of the deviation signal, how the deviation vector direction is determined by an algorithm that classifies the cause of a trigger being set off, and matching a given agent type to the agent, or fingerprint, library.