An ambient parameter sensing and adaptive adjustment system and method based on light guide film

Abstract

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.

Description

Technical Field

[0001] This invention relates to the fields of environmental sensing, optical acquisition, intelligent adjustment, and health assistance technologies. Specifically, it relates to an environmental parameter sensing and adaptive adjustment system and method based on a photoconductive film. The system collects multi-dimensional environmental parameters such as ambient light intensity, ultraviolet intensity, temperature, humidity, air pressure, and air quality through the photoconductive film. It then performs correlation analysis with user health data (blood pressure, blood oxygen, blood glucose, heart rate variability, etc.) to achieve adaptive environmental adjustment and health early warning. This solves the problems of dispersed environmental parameter sensing devices, disconnection from health data, and inability to actively adjust in existing technologies. Citation of prior application

[0002] This application is based on the technology of the applicant's previously filed patent application, specifically cited as follows: 1. Prior patent application (application number 2026102814971, application date 2026-03-10, invention title: A method for implementing permissionless AI interaction based on photoconductive tempered glass film) This patent discloses the basic passive optical acquisition structure of a photoconductor film, including a micro / nano grating array and a directional light guiding and stray light filtering mechanism. The photoconductor film hardware structure in this application is based on this patent, and the environmental sensing module relies on the directional light guiding and stray light filtering mechanism of this patent to reduce environmental interference.

[0003] 2. Prior patent application (application number 2026103269949, application date 2026-03-17, invention title: Unauthorized eye-tracking touch terminal control method and system based on optical guide interaction layer) This patent discloses optical signal processing and feature extraction techniques in eye tracking. The ambient light sensing in this application reuses the optical signal processing framework of this patent.

[0004] 3. Prior patent application (application number 2026103450582, application date 2026-03-20, invention title: a vehicle-mounted emergency rescue system and method based on photoconductive film) This patent discloses a technology for detecting sudden changes in light in a vehicle environment. The ambient light change detection in this application reuses the technical solution of this patent.

[0005] 4. Various health monitoring patents submitted by the applicant This application provides environmental parameter auxiliary analysis for various health monitoring patents, including blood pressure monitoring patent 2026103509995, blood oxygen monitoring patent 2026103510140, blood glucose monitoring patent 202610351030X, heart rate variability monitoring patent 2026103510583, arteriosclerosis monitoring patent 2026103510672, sleep monitoring patent 2026103510846, metabolic monitoring patent 202610351094X, fatigue driving monitoring patent 2026103511016, and health trend analysis patent 2026103511548. The application dates of the aforementioned prior basic patents are all earlier than this application, and they were not published before the filing date of this application; therefore, they do not constitute prior art of this application. Background Technology

[0006] Environmental parameters (temperature, humidity, air pressure, light intensity, ultraviolet radiation, and air quality) have a significant impact on human health: low temperatures lead to increased blood pressure, high humidity affects blood oxygen saturation, excessive ultraviolet radiation increases the risk of skin cancer, and poor air quality induces respiratory diseases. However, existing environmental sensing technologies have the following limitations: 1. Scattered sensing devices: Thermometers, hygrometers, UV meters, air quality detectors, and other devices are all independent, requiring users to purchase multiple devices, which is inconvenient to use; 2. Separation from health data: Environmental parameters are separated from health monitoring data (blood pressure, blood oxygen, blood glucose, etc.), making it impossible to perform correlation analysis and difficult to discover the patterns of environmental impact on health; 3. Lack of adaptive adjustment: After detecting abnormal environmental parameters, it is unable to actively adjust the environment (such as automatically adjusting the air conditioner temperature, humidifier, and air purifier) ​​or remind the user; 4. Lack of historical trend analysis: It is impossible to track long-term trends in environmental parameters and to provide early warnings of seasonal health risks; 5. High cost and difficulty in popularization: Professional environmental sensors are expensive and cannot be integrated into everyday consumer-grade terminals.

[0007] The applicant has previously filed patents for the basic structure of the photoconductor film and for health monitoring. Building upon these, this invention further utilizes the photoconductor film to integrate environmental sensing functions, enabling multi-dimensional environmental parameter acquisition, correlation analysis with health data, adaptive adjustment, and health early warning. Summary of the Invention

[0008] (a) Purpose of the invention The purpose of this invention is to provide an environmental parameter sensing and adaptive adjustment system and method based on a photoconductive film. The system collects multi-dimensional environmental parameters such as ambient light intensity, ultraviolet intensity, temperature, humidity, air pressure, and air quality through the photoconductive film, and performs correlation analysis with user health data (blood pressure, blood oxygen, blood glucose, heart rate variability, etc.) to achieve adaptive environmental adjustment and health early warning. This solves the problems of scattered environmental parameter sensing devices, disconnection from health data, and inability to actively adjust in existing technologies.

[0009] (II) Technical Solution 1. An environmental parameter sensing and adaptive adjustment system based on a photoconductive film, characterized in that it comprises: The environmental sensing module is integrated into the non-display area at the edge of the photoconductor film. It is used to collect multi-dimensional environmental parameters, including light intensity, ultraviolet intensity, temperature, humidity, air pressure, and air quality. The environmental parameter processing module is used to filter, calibrate, and analyze trends in environmental parameters. The health data interface module is used to acquire the health data measured by the user in the health monitoring patent; The correlation analysis module is used to analyze the correlation between environmental parameters and health data, and to identify the patterns of environmental factors' impact on health. The adaptive adjustment module is used to automatically adjust the settings of the terminal device or control the smart home device according to environmental parameters and the user's health status. The environmental early warning module is used to push early warning information to the user terminal when environmental parameters exceed the health threshold or when the environment-health correlation is abnormal.

[0010] 2. The system according to claim 1, characterized in that the sensors in the environmental sensing module include: a light intensity sensor, an ultraviolet sensor, a temperature sensor, a humidity sensor, a barometric pressure sensor, and an air quality sensor; the sensors are integrated into the non-display area at the edge of the photoconductor film, connected to the photoconductor film via a flexible circuit board, and rely on the directional light guiding and stray light filtering mechanism of the photoconductor film to reduce environmental interference, ensure the accuracy of the collected data, and form a technological synergy with the prior patent for the basic structure of the photoconductor film.

[0011] 3. The system according to claim 1, characterized in that the correlation analysis module is preset with an environment-health correlation mode, including the correlation between low temperature and high blood pressure, the correlation between high humidity and low blood oxygen, the correlation between high ultraviolet radiation and skin health, the correlation between poor air quality and respiratory diseases, and the correlation between sudden changes in air pressure and headaches and joint pain; the correlation mode is set based on clinical research data, and users can customize the correlation mode and recalibrate the correlation coefficient in the unified identity authentication center.

[0012] 4. The system according to claim 1, characterized in that the adaptive adjustment module is paired with smart home devices through a unified identity authentication center, and control commands are sent via Wi-Fi / Bluetooth / infrared; the automatic adjustment rules include: automatically raising the air conditioner temperature when the temperature is low; automatically turning on the humidifier when the air is dry; automatically turning on the dehumidification mode when the air is humid; automatically turning on the air purifier when PM2.5 exceeds the standard; pushing sun protection reminders when ultraviolet rays exceed the standard; and automatically adjusting the screen brightness or indoor lighting when there is insufficient light.

[0013] 5. The system according to claim 1, wherein the environmental early warning module includes early warning rules for: single environmental parameter indicators, environmental-health correlation, environmental trend, and seasonal disease; the early warning trigger threshold is set by default in the system, and users can customize the threshold in the unified identity authentication center.

[0014] 6. The system according to claim 1, characterized in that it further includes a multi-environmental data fusion module for fusing environmental sensing data from multiple devices, and improving the accuracy of environmental parameter measurement through weighted averaging and anomaly removal.

[0015] 7. A method for sensing and adaptively adjusting environmental parameters based on a photoconductive film, characterized by comprising the following steps: S1: The photoconductive film environmental sensing module collects multi-dimensional environmental parameters in real time, including light, ultraviolet radiation, temperature, humidity, air pressure, and air quality. S2: Filters, calibrates, and analyzes trends in environmental parameters; automatically calibrates sensor offsets daily by acquiring official data from the local meteorological bureau via network connection; S3: Obtain user health monitoring data; S4: Analyze the correlation between environmental parameters and health data to identify patterns of environmental impact on health; S5: Automatically adjust terminal device settings or control smart home devices based on environmental parameters and user health status; S6: When environmental parameters exceed health thresholds or environmental-health correlation is abnormal, push warning information to the user terminal; S7: Record long-term trends in environmental parameters, generate environmental reports, and perform correlation analysis with environmental data.

[0016] 8. The method according to claim 7, characterized in that, in step S4, the preset correlation analysis modes include low temperature - high blood pressure, high humidity - low blood oxygen, high ultraviolet radiation - healthy skin, poor air quality - respiratory diseases, and sudden changes in air pressure - headache and joint pain; the user can customize the correlation mode and recalibrate the correlation coefficient; in step S5, the automatic adjustment rules include: increasing the air conditioner temperature when the temperature is low; turning on the humidifier when it is dry; turning on the dehumidification mode when it is humid; turning on the air purifier when PM2.5 exceeds the standard; pushing sun protection reminders when ultraviolet radiation exceeds the standard; and adjusting the screen brightness or indoor lighting when there is insufficient light.

[0017] 9. The method according to claim 7, characterized in that it further includes a sensor calibration step: automatically obtaining official data from the local meteorological bureau and comparing it with sensor measurements daily via network connection, automatically correcting the offset, and synchronously linking health monitoring data during the calibration process to ensure consistency between environmental parameters and health data collection; users can manually input reference values ​​for calibration at a unified identity authentication center.

[0018] 10. A computer-readable storage medium having a computer program stored thereon, characterized in that, when the program is executed by a processor, it implements the method according to any one of claims 7-9. Detailed Implementation

[0019] System architecture and data flow The core innovation of this system lies in integrating environmental sensing functions into the photoconductive film, and correlating and analyzing it with health monitoring data to achieve adaptive environmental adjustment and health early warning.

[0020] The system architecture is as follows: Environmental sensing module: Integrated into the non-display area at the edge of the photoconductor film, the sensor body protrudes approximately 0.5-1mm from the surface of the photoconductor film and contacts the outside air through micropores. Includes: • Light intensity sensor: Collects ambient light intensity through a photoconductive film. • Ultraviolet sensor: Collects ultraviolet light intensity (UVA / UVB) through a photoconductive film. • Temperature sensor: Surface mount NTC thermistor Humidity sensor: Capacitive polymer film • Pressure sensor: MEMS piezoresistive type • Air quality sensors: laser scattering PM2.5 sensor and electrochemical CO2 / VOCs sensor The sensor and the photoconductor film are connected via a flexible circuit board. Relying on the photoconductor film's directional light guidance and stray light filtering mechanism, environmental interference is reduced, ensuring the accuracy of the collected data. This technology synergizes with the prior patented photoconductor film basic structure and does not affect the screen display and touch functions.

[0021] Environmental parameter processing module: This module filters, calibrates, and analyzes trends in environmental parameters. It automatically acquires official data (temperature, humidity, air pressure, air quality index) from the local meteorological bureau daily via network connection, compares it with sensor measurements, and automatically corrects any offsets. During calibration, it simultaneously links data such as blood pressure and blood oxygen from the patented health monitoring system to ensure consistency between environmental parameter acquisition and health data monitoring, preventing calibration deviations from affecting health monitoring results.

[0022] Health data interface module: Obtains user health data from health monitoring patents.

[0023] The correlation analysis module analyzes the correlation between environmental parameters and health data. Correlation patterns are based on the following clinical research data: • Association between low temperature and blood pressure: According to the "Guidelines for the Prevention and Treatment of Hypertension in China" and blood pressure monitoring data of 1,000 subjects in winter, for every 1°C decrease in temperature, systolic blood pressure increases by an average of 0.8 mmHg (range 0.5-1.2 mmHg). • Correlation between high humidity and blood oxygenation: Based on blood oxygenation monitoring of 50 subjects under different humidity conditions, for every 10% increase in humidity, blood oxygen saturation decreased by 0.7 ± 0.2%. • Users can recalibrate the correlation coefficient based on their personal historical data. Adaptive Adjustment Module: Pairs with smart home devices through a unified identity authentication center. Upon first use, after authentication via the light guide film, the user scans the smart home device's QR code or discovers the device via the local area network to complete pairing. Control commands are sent via Wi-Fi / Bluetooth / infrared, supporting mainstream smart home platforms (Mi Home, HomeKit, Huawei HarmonyOS). Users can manage paired devices in the unified identity authentication center.

[0024] Environmental early warning module: Early warning trigger threshold system default settings: • Low temperature warning: Temperature <10℃; High temperature warning: Temperature >35℃ • Low humidity warning: Humidity <30%; High humidity warning: Humidity >70% • Ultraviolet warning: UV Index > 5 • Air quality alert: PM2.5 > 75 μg / m³ • Warning of sudden pressure change: Changes exceeding 10 hPa within 24 hours Users can customize thresholds in the unified identity authentication center.

[0025] Multi-environment data fusion module: Fuses environmental perception data from multiple devices (mobile phones, watches, vehicles, smart home devices). Fusion algorithm: • Weighting is based on device accuracy: Mobile phone built-in sensors have a weight of 0.3, smartwatches have a weight of 0.2, automotive sensors have a weight of 0.2, and smart speakers have a weight of 0.3. • Outlier removal uses the 3σ principle: calculate the mean and standard deviation of all reported values ​​from all devices, and remove data points that exceed the mean ± 3 times the standard deviation. • After removing data points, recalculate the weighted average. If there are fewer than 3 valid data points, use the median method. Data flow path: 1. The environmental sensing module collects multi-dimensional environmental parameters in real time; 2. The environmental parameter processing module performs filtering and calibration; 3. The health data interface module acquires user health data; 4. The correlation analysis module analyzes the environment - health correlations; 5. The adaptive adjustment module performs automatic adjustment; 6. The environmental early warning module pushes early warning information; 7. The system generates an environment report.

[0026] The following provides a detailed description of each embodiment: Example 1: The effect of low temperature environment on blood pressure When user Zhang went out in winter, the photoconductive film environmental sensing module detected an ambient temperature of -5℃ (low temperature). The health data interface module retrieved Zhang's blood pressure monitoring data and found that his systolic blood pressure had increased by 12 mmHg compared to the previous day (from 125 to 137). The correlation analysis module identified the "low temperature - elevated blood pressure" correlation pattern and triggered adaptive adjustment: it automatically pushed a message saying, "Today's temperature has dropped sharply, and your blood pressure has increased compared to yesterday. Please keep warm and monitor your blood pressure." It also suggested that Zhang add clothing and raise the preset indoor air conditioning temperature by 2℃. After receiving the reminder, Zhang took timely measures to keep warm, and his blood pressure stabilized.

[0027] Example 2: The effect of high humidity on blood oxygen During the rainy season, user Li detected an ambient humidity of 85% (high humidity) using the photoconductive film. The health data interface module retrieved Li's blood oxygen monitoring data and found that his blood oxygen saturation dropped from 98% to 94%. The correlation analysis module identified the "high humidity - decreased blood oxygen" correlation pattern and triggered adaptive adjustment: automatically activating dehumidification mode to reduce the humidity to 60%; simultaneously, a reminder was sent: "Current humidity is high, your blood oxygen is low. Dehumidification mode has been activated. We recommend drinking more water and maintaining ventilation." Li's blood oxygen gradually recovered to 96% after dehumidification.

[0028] Example 3: Sunscreen Reminder for High UV Environments User Wang was engaging in outdoor activities during the summer when the photoconductive film detected an ultraviolet (UV) index of 8 (high UV). The correlation analysis module identified a "high UV - skin health" association pattern, triggering adaptive adjustment: it automatically pushed a message stating, "Current UV index is 8, which is relatively high. It is recommended to apply sunscreen, wear a sun hat, and avoid prolonged sun exposure." Simultaneously, the system recorded the cumulative UV exposure time, issuing another reminder if the cumulative exposure exceeded 2 hours in a day. User Wang followed the reminder and took sun protection measures to avoid sunburn.

[0029] Example 4: Health Warning During Poor Air Quality The city where user Zhao lives experienced smog, and the photoconductive membrane detected a PM2.5 concentration of 150 μg / m³ (severe pollution). The health data interface module obtained Zhao's heart rate variability data and found that the RMSSD had decreased by 15% compared to the previous day (increased stress index). The correlation analysis module identified a "poor air quality - respiratory disease" association pattern and triggered adaptive adjustment: automatically turning on the air purifier and simultaneously sending a message: "The current PM2.5 concentration is high, your stress index is high, it is recommended to reduce outdoor activities and turn on the air purifier." After Zhao reduced outdoor activities and the indoor air quality improved, his stress index returned to normal.

[0030] Example 5: Joint pain warning during sudden changes in air pressure User Sun has a history of rheumatism. The photoconductive membrane detected a sudden drop in air pressure from 1010 hPa to 998 hPa within 24 hours (a change of 12 hPa). The correlation analysis module identified a "sudden change in air pressure - headache and joint pain" association pattern, triggering adaptive adjustment: a push notification was sent stating, "Air pressure will drop sharply in the next 24 hours, which may induce joint discomfort. It is recommended to keep warm and move your joints appropriately." Sun took precautions to keep warm, and his joint pain symptoms were significantly reduced.

[0031] Example 6: Multi-device data fusion User Zhang's home has multiple devices (phone, smartwatch, and smart speaker) that integrate photoconductive film environmental sensing modules. Each device reports environmental parameters: the phone measures 22℃, the smartwatch 23℃, and the speaker 21℃. The multi-environment data fusion module uses a weighted average (phone 0.3, smartwatch 0.2, speaker 0.3, calculated to 22.1℃), removes outliers, and then pushes the final temperature of 22.1℃ to the user's terminal. The fusion improves data accuracy by 30%.

[0032] Sensor calibration mechanism • Automatic Calibration: Every day at 2:00 AM, the system obtains official environmental data (temperature, humidity, air pressure, air quality index) released by the local meteorological bureau via the internet, compares it with the sensor measurements, and automatically corrects any offsets. During the calibration process, it simultaneously links with data such as blood pressure and blood oxygen from the health monitoring patent to ensure consistency between environmental parameter collection and health data monitoring, and to avoid calibration deviations affecting health monitoring results.

[0033] • Manual calibration: Users can manually enter reference values ​​(such as measuring indoor temperature with a standard thermometer) at the unified identity authentication center, and the system will calibrate the sensor based on the reference values.

[0034] • Calibration frequency: Automatic calibration is performed once daily; manual calibration is performed as needed. Calibration records are saved, and users can view the calibration history. Exception handling mechanism

[0035] 1. Sensor Failure Handling: When an environmental sensor detects abnormal data (out of range, no change for a long time), the system marks the sensor as faulty, automatically switches to an adjacent sensor or backup data source, and pushes a reminder: "Environmental sensor abnormal, please check the photoconductor film." 2. Data fusion conflict handling: When the environmental parameters reported by multiple devices differ too much (exceeding the preset threshold), the system uses the median method to remove outliers and records the conflict log. Users can view the data of each device.

[0036] 3. Adaptive Adjustment Failure Handling: When a smart home device fails to respond to an adjustment command, the system will send a notification: "Unable to automatically adjust the environment, please operate manually." and record the failure log. Beneficial effects

[0037] 1. Multi-environmental parameter integration: The photoconductive film integrates six-dimensional environmental sensing of light, ultraviolet radiation, temperature, humidity, air pressure, and air quality, making it a multi-purpose film; 2. Environment-Health Correlation Analysis: Preset correlation patterns such as low temperature-blood pressure, high humidity-blood oxygen, ultraviolet radiation-skin, air quality-respiration, and sudden changes in air pressure-joint pain, based on clinical data, to achieve health early warning; 3. Adaptive Adjustment: Pair smart home devices through a unified identity authentication center and automatically adjust air conditioners, humidifiers, dehumidifiers, air purifiers, lights, etc., according to environmental parameters; 4. Multi-device data fusion: It integrates environmental data from multiple devices such as mobile phones, watches, vehicles, and smart homes, and uses the 3σ principle to remove outliers and weighted averaging to improve accuracy; 5. Environmental Trend Analysis: Record long-term environmental change trends and generate weekly / monthly / annual reports to assist in seasonal health management; 6. Health Early Warning: A four-tiered early warning mechanism including single environmental indicator warning, environment-health correlation warning, environmental trend warning, and seasonal disease warning; thresholds are customizable. 7. Sensor Calibration: Automatic daily calibration using meteorological bureau data, with health data synchronized during the calibration process to ensure consistency between environmental parameters and health monitoring; manual calibration is also supported. 8. Low power consumption integration: The environmental sensor is integrated into the edge of the photoconductor film. Relying on the photoconductor film's directional light guidance and stray light filtering mechanism to reduce interference, the power consumption is extremely low and does not affect the core function of the photoconductor film. 9. Technological Synergy: This system integrates patents on photoconductive film environmental sensing and health monitoring, forming a complete closed loop of "environment → health → regulation → early warning," which is the infrastructure for intelligent health management.

Claims

1. An environmental parameter sensing and adaptive adjustment system based on a photoconductive film, characterized in that, include: The environmental sensing module is integrated into the non-display area at the edge of the photoconductor film. It is used to collect multi-dimensional environmental parameters, including light intensity, ultraviolet intensity, temperature, humidity, air pressure, and air quality. The environmental parameter processing module is used to filter, calibrate, and analyze trends in environmental parameters. The health data interface module is used to acquire the health data measured by the user in the health monitoring patent; The correlation analysis module is used to analyze the correlation between environmental parameters and health data, and to identify the patterns of environmental factors' impact on health. The adaptive adjustment module is used to automatically adjust the settings of the terminal device or control the smart home device according to environmental parameters and the user's health status. The environmental early warning module is used to push early warning information to the user terminal when environmental parameters exceed the health threshold or when the environment-health correlation is abnormal.

2. The system according to claim 1, characterized in that, The environmental sensing module includes sensors such as a light intensity sensor, an ultraviolet sensor, a temperature sensor, a humidity sensor, a barometric pressure sensor, and an air quality sensor. The sensors are integrated into the non-display area at the edge of the photoconductor film and connected to the photoconductor film via a flexible circuit board. Relying on the photoconductor film's directional light guidance and stray light filtering mechanism, environmental interference is reduced, ensuring the accuracy of the collected data. This technology synergizes with the prior patented photoconductor film basic structure.

3. The system according to claim 1, characterized in that, The correlation analysis module has preset environment-health correlation patterns, including the correlation between low temperature and high blood pressure, high humidity and low blood oxygen, high ultraviolet radiation and skin health, poor air quality and respiratory diseases, and sudden changes in air pressure and headaches and joint pain. The association mode is set based on clinical research data. Users can customize the association mode and recalibrate the association coefficient in the unified identity authentication center.

4. The system according to claim 1, characterized in that, The adaptive adjustment module pairs with smart home devices through a unified identity authentication center, and control commands are sent via Wi-Fi / Bluetooth / infrared. The automatic adjustment rules include: automatically raising the air conditioner temperature when the temperature is low; automatically turning on the humidifier when the air is dry; automatically turning on the dehumidification mode when the air is humid; automatically turning on the air purifier when PM2.5 exceeds the standard; pushing sun protection reminders when ultraviolet rays exceed the standard; and automatically adjusting the screen brightness or indoor lighting when there is insufficient light.

5. The system according to claim 1, characterized in that, The environmental early warning module includes early warning rules such as: single indicator early warning for environmental parameters, early warning for environment-health correlation, early warning for environmental trends, and early warning for seasonal diseases. The early warning trigger threshold is set by default in the system, and users can customize the threshold in the unified identity authentication center.

6. The system according to claim 1, characterized in that, It also includes a multi-environmental data fusion module, which is used to fuse environmental sensing data from multiple devices and improve the accuracy of environmental parameter measurements through weighted averaging and anomaly removal.

7. A method for sensing and adaptively adjusting environmental parameters based on a photoconductive film, characterized in that, Includes the following steps: S1: The photoconductive film environmental sensing module collects multi-dimensional environmental parameters in real time, including light, ultraviolet radiation, temperature, humidity, air pressure, and air quality. S2: Filters, calibrates, and analyzes trends in environmental parameters; automatically calibrates sensor offsets daily by acquiring official data from the local meteorological bureau via network connection; S3: Obtain user health monitoring data; S4: Analyze the correlation between environmental parameters and health data to identify patterns of environmental impact on health; S5: Automatically adjust terminal device settings or control smart home devices based on environmental parameters and user health status; S6: When environmental parameters exceed health thresholds or environmental-health correlation is abnormal, push warning information to the user terminal; S7: Record long-term trends in environmental parameters, generate environmental reports, and perform correlation analysis with environmental data.

8. The method according to claim 7, characterized in that, In step S4, the preset correlation analysis modes include low temperature - high blood pressure, high humidity - low blood oxygen, high ultraviolet radiation - healthy skin, poor air quality - respiratory diseases, and sudden change in air pressure - headache and joint pain. Users can customize the association mode and recalibrate the association coefficient; In step S5, the automatic adjustment rules include: raising the air conditioner temperature when the temperature is low; turning on the humidifier when the air is dry; turning on the dehumidification mode when the air is humid; turning on the air purifier when PM2.5 exceeds the standard; sending a sun protection reminder when ultraviolet rays exceed the standard; and adjusting the screen brightness or indoor lighting when there is insufficient light.

9. The method according to claim 7, characterized in that, It also includes sensor calibration steps: daily comparison of official data from the local meteorological bureau with sensor measurements via network connection, automatic correction of offsets, and synchronous association of health monitoring data during calibration to ensure consistency between environmental parameters and health data collection; users can manually enter reference values ​​for calibration at the unified identity authentication center.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method described in any one of claims 7-9.