The invention, which relates to the technical field of data intelligent monitoring, discloses a non-contact
vital sign monitoring abnormity early warning and intelligent supervision platform comprising a sign monitoring module, a feature analysis module, a real-time monitoring module, and an abnormity early warning module. According to the method, sensor equipment is installed,
monitoring data are extracted and classified, a
defecation image comparison
library is established, comfort level correlation interaction analysis is carried out in combination with an environment
monitoring data set, a target environment parameter influence value is obtained, infant
defecation health degree analysis is carried out, and infant
defecation health coefficients are obtained; an associated
data model is constructed, monitoring target parameters are output, real-time defecation health state analysis is performed, a real-time defecation physiological health coefficient is generated, defecation stage
change analysis is performed, an infant physiological cycle state report is generated, and then a defecation early warning
signal is generated, so that the abnormal defecation condition of an infant can be quickly found, and the defecation early warning efficiency is improved. And generating a physiological health early warning
signal based on the infant physiological cycle state report and the real-time defecation physiological health coefficient.