Navigating to urban environmental health: Professionalized and personalized healthy living assistant based on intelligent health risk management

Abstract

Facing unbalanced and inadequate urban development, the environmental health risk management (EHRM) try to provide an unbiased scientific assessment and control of risk posed by specific hazards. Shortage of personal exposure scenarios and parameters, dynamic multimedia environment pollution data, multi-target applications, etc. make challenges in current EHRM. The booming smart phone, Internet plus and Internet of things (IoT) technologies provide cost-efficient opportunities for above challenges. Hence, the “EnvironMax” framework, namely a “4M” (multi-scale, multimedia, multi-exposure, multi-target) environmental health risk monitoring & management system, is proposed. EnvironMax is composed of the environmental multimedia data source layer, communication and preprocessing layer, cloud-based environmental health brain layer, and user-oriented healthy living assistant layer. Multi-source data (mainly including Portable IoT + Location Service + application programming interface) based EnvironMax realizes multi-scale and multi-exposure EHRM, especially “4R” (Right Time, Right Place, Right Information, Right Person) EHRM. A testbed with EnvironMax applications, mainly including environmental health navigation, healthy city planning and healthy exercises assistant, are presented to verify the feasibility of the proposed architecture under a case environmental multimedia risk scenarios. Professionalized and Personalized EnvironMax is proved to support scientific urban sustainable development with aim of multilevel users' environmental health initiative management and equity.