Developer Designs Algorithm to Score Cumulative Thermal Shock from AC-to-Outdoor Transitions

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A developer has conceptually designed a thermal shock scoring algorithm that quantifies the physiological stress caused by repeated temperature transitions between air-conditioned buildings and outdoor environments. The algorithm uses three variables: the magnitude of each temperature change, the direction of the transition (cold-to-hot weighted 1.3x due to more demanding vasodilation), and the recovery time between transitions. Zone classification relies on GPS and WiFi data already available on smartphones, combined with real-time outdoor temperatures from a weather API, eliminating the need for dedicated sensors. A sample formula calculates each shock event as the absolute temperature delta multiplied by the direction weight and a recovery factor. The concept envisions future AI integration to personalise thresholds based on an individual's observed heat tolerance over time.

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