This invention discloses an environmental parameter sensing and adaptive adjustment
system and method based on a photoconductive film. It integrates six-dimensional environmental sensors—
light intensity,
ultraviolet radiation, temperature,
humidity, air pressure, and air quality—at the edge of the photoconductive film, and utilizes the film's directional light guidance and
stray light filtering mechanisms to reduce environmental interference. The
system includes an
environmental sensing module, an environmental parameter
processing module, a
health data interface module, a
correlation analysis module, an adaptive adjustment module, and an environmental early warning module. The
correlation analysis module has preset environmental-health correlation patterns such as low temperature-increased
blood pressure,
high humidity-decreased blood
oxygen, high
ultraviolet radiation-
skin health, poor air quality-respiratory diseases, and sudden changes in air pressure-
headaches and
joint pain, set based on
clinical research data. The adaptive adjustment module pairs with smart home devices through a unified identity
authentication center, sending control commands via Wi-Fi /
Bluetooth /
infrared to automatically adjust air conditioners,
humidifiers, dehumidifiers,
air purifiers, and lighting according to environmental parameters. The environmental early warning module supports single-indicator early warning, correlation early warning, trend early warning, and seasonal
disease early warning, with customizable thresholds. The multi-
environmental data fusion module uses weighted averaging and the 3σ principle for anomaly removal, integrating data from multiple devices such as mobile phones, watches, vehicles, and smart home devices. The sensors are automatically calibrated daily using meteorological bureau data, with the calibration process simultaneously linked to
health data. This invention solves the problems of scattered
environmental sensing devices, disconnect from
health data, and inability to proactively adjust, serving as the infrastructure for intelligent health management.