A light guide film-based hybrid power supply and energy consumption intelligent scheduling system and method

Abstract

This invention discloses a hybrid power supply and intelligent energy consumption scheduling system and method based on photoconductive film. It integrates multiple power supply units, including photoelectric generation, electromagnetic induction, and micro-energy storage batteries, and performs intelligent energy consumption scheduling based on scene priority and real-time user status. The system includes a unified identity authentication center, multiple power supply units, a power supply status monitoring module, a scene priority identification module, an energy consumption scheduling module, a low-power management module, and a power supply redundancy guarantee module. The system loads user-preset personalized scheduling strategies through identity recognition. The photoelectric generation module uses flexible thin-film solar cells with a conversion efficiency of over 15% under standard test conditions; the electromagnetic induction module uses micro-coils; and the energy storage battery uses solid-state thin-film batteries with a capacity of 10-50mAh. Scene priorities are divided into five levels, with high-priority scenes prioritizing stable power supply (energy storage battery) and low-priority scenes prioritizing ambient energy harvesting. The low-power management module automatically enters deep sleep mode when preset low-power conditions are met (including at least one of continuous no user interaction, lowest scene priority, and light intensity below a threshold), reducing power consumption by 95%. In the event of a main power supply unit failure, a backup unit is automatically switched over within 10ms. This invention solves the problems of insufficient power supply to photoconductor films, low efficiency of multi-source power supply coordination, and unreasonable energy consumption distribution. It is the core infrastructure for the intelligent operation of photoconductor films.

Description

Technical Field

[0001] This invention relates to the fields of optical acquisition, energy management, intelligent scheduling, and low-power system design. Specifically, it relates to a hybrid power supply and intelligent energy consumption scheduling system and method based on photoconductive film. By integrating multiple power supply units such as photoelectric generation, electromagnetic induction, and micro energy storage batteries, and combining scene priority and real-time user status for intelligent energy consumption scheduling, it solves the problems of insufficient power supply of photoconductive film in passive scenarios, low efficiency of multi-source power supply coordination, and unreasonable energy consumption distribution in the prior art. 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 2026103505829, application date 2026-03-20, invention title: A method and system for unique identification of human optical spectral features based on photoconductive film) This patent discloses a method for uniquely identifying human optical spectral features. It uses a photoconductive film to collect human optical spectral features and generate a unique feature code for identity verification. The unified identity authentication center in this application uses the spectral feature acquisition and comparison technology of this patent as the identity basis for energy consumption scheduling.

[0003] 2. 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 mechanism for directional light guidance and stray light filtering. The photoconductor film hardware structure in this application is based on this patent.

[0004] 3. Prior patent application (application number 2026103373270, application date 2026-03-19, invention title: A distributed housekeeping system and method based on multi-terminal collaboration) This patent discloses a distributed housekeeping system based on multi-terminal collaboration, including a main housekeeping unit and sub-housekeeping units. The energy consumption scheduling framework in this application is implemented based on the housekeeping system architecture of this patent.

[0005] 4. Prior patent application (application number 2026103511938, application date 2026-03-21, invention title: A full-scene state synchronization and priority scheduling system and method based on photoconductive film) This patent discloses a cross-scenario state synchronization and priority scheduling mechanism, including priority level division rules. The scenario priority rules in this application reuse the technical solution of this patent.

[0006] 5. Patents for various application scenarios submitted by the applicant. This application provides hybrid power supply and energy consumption scheduling services for patents in various application scenarios, including health monitoring patents (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, and fatigue driving monitoring patent 20261035). Patents listed include: 11016 (health trend analysis patent 2026103511548), security protection patents (anti-fraud patent 2026103476031), social service patents (family tracing patent 2026103505068, virtual world scene patent 2026103511336), and intelligent interaction patents (eye tracking patent 2026103269949, unified identity authentication patent 2026103511641, status synchronization patent 2026103511938, offline collaboration patent 2026103512150). The application dates of these prior basic patents are all earlier than this application, and they were not published before the application date of this application; therefore, they do not constitute prior art of this application. Background Technology

[0007] As a passive optical interaction layer, the core advantage of photoconductive films lies in their ability to provide a light source through the terminal screen or ambient light, eliminating the need for chips, circuits, and independent power supplies. However, with the expansion of photoconductive film applications (health monitoring, security protection, virtual world interaction, etc.), a single passive power supply can no longer meet the following requirements: 1. Insufficient passive power supply: Health monitoring (such as continuous blood pressure monitoring) requires a continuous power supply, and relying solely on screen illumination or ambient light cannot guarantee stability; 2. Low efficiency of multi-source power supply coordination: Existing photoconductor film solutions use a single power supply method (such as relying solely on screen backlight), which cannot dynamically switch power sources according to scenario requirements; 3. Inappropriate energy consumption allocation: There is no difference in energy consumption allocation between high-priority scenarios (life safety) and low-priority scenarios (daily interaction), which may lead to insufficient power supply in emergency scenarios; 4. Lack of optimization in low-power scenarios: In low-power scenarios such as nighttime monitoring and offline standby, the power supply unit continues to work, resulting in energy waste; 5. Lack of energy storage unit management: The existing solution does not have a design for the charging and discharging management of micro energy storage batteries, and cannot cope with temporary power outages.

[0008] The applicant has previously filed patents for a distributed management system and a full-scenario status synchronization and priority scheduling system, which can achieve real-time online status synchronization and scenario priority division. Building upon these, this invention further constructs a hybrid power supply and intelligent energy consumption scheduling system to achieve collaborative management and scenario-based energy consumption scheduling of multiple power sources, including photovoltaic power generation, electromagnetic induction, and micro-energy storage batteries. Summary of the Invention

[0009] (a) Purpose of the invention The purpose of this invention is to provide a hybrid power supply and intelligent energy consumption scheduling system and method based on photoconductive film. By integrating multiple power supply units such as photoelectric power generation, electromagnetic induction, and micro energy storage batteries, and combining scene priority and real-time user status for intelligent energy consumption scheduling, this invention solves the problems of insufficient power supply of photoconductive film in passive scenarios, low efficiency of multi-source power supply coordination, and unreasonable energy consumption distribution in the prior art.

[0010] (II) Technical Solution 1. A hybrid power supply and intelligent energy consumption scheduling system based on a photoconductive film, characterized in that it comprises: The unified identity authentication center is used to collect the optical spectral characteristics of the user's human body through the optical guide film and generate a unique identity feature code, which serves as the identity basis for energy consumption scheduling; the system loads the user's preset personalized scheduling strategy through identity recognition. The multi-source power supply unit is integrated into the non-display area at the edge of the photoconductor film, including a photoelectric power generation module, an electromagnetic induction module, and a micro energy storage battery; The power supply status monitoring module is used to monitor the output voltage, current, remaining power and ambient light intensity of each power supply unit in real time. The scenario priority identification module is used to identify the scenario priority level based on the currently running application scenario; The energy consumption scheduling module is used to dynamically select the power source and allocate energy consumption based on scene priority, power supply status, and user settings. High-priority scenes prioritize the use of stable power supply, while low-priority scenes prioritize the use of environmental energy harvesting. The low-power management module is used to automatically enter deep sleep mode and shut down unnecessary power supply units when preset low-power conditions are met. The power supply redundancy protection module is used to automatically switch to the backup power supply unit when the main power supply unit fails, ensuring uninterrupted power supply in critical scenarios.

[0011] 2. The system according to claim 1, characterized in that the photoelectric power generation module adopts a flexible thin-film solar cell with a conversion efficiency of over 15% under standard test conditions (AM1.5, 1000W / m², 25℃); the electromagnetic induction module adopts a micro coil to generate electrical energy by sensing the electromagnetic field of the terminal device; the micro energy storage battery adopts a solid-state thin-film battery with a preset capacity of 10-50mAh and a built-in charge and discharge management circuit.

[0012] 3. The system according to claim 1, wherein the monitoring data in the power supply status monitoring module includes: the output voltage and output current of the photoelectric power generation module, the output voltage and output current of the electromagnetic induction module, the power and charging status of the micro energy storage battery, and the ambient light intensity; the monitoring data is updated once per second.

[0013] 4. The system according to claim 1, wherein the scene priority identification module has the following scene priority levels: life safety scenarios are the highest priority (level 1); property safety scenarios are the second highest (level 2); social service scenarios are the third highest (level 3); health monitoring scenarios are the fourth highest (level 4); and daily interaction scenarios are the lowest (level 5).

[0014] 5. The system according to claim 1, wherein the energy consumption scheduling module dynamically selects the power supply source according to the scenario priority: high-priority scenarios prioritize the use of stable power supply (micro energy storage battery), and low-priority scenarios prioritize the use of environmental energy harvesting (photovoltaic power generation module, electromagnetic induction module); users can customize the scheduling strategy in the unified identity authentication center to override the system default strategy.

[0015] 6. The system according to claim 1, characterized in that, in the low-power management module, the deep sleep mode is defined as shutting down all unnecessary power supply units and retaining only a small output from the micro energy storage battery; the system automatically enters the deep sleep mode when a preset low-power condition is met, the preset low-power condition including at least one of the following: no user interaction for a continuous preset time, the current scene priority is the lowest level, and the ambient light intensity is lower than a preset threshold; if user interaction or a high-priority scene is detected during the sleep period, the system wakes up and restores power supply within a preset time.

[0016] 7. The system according to claim 1, characterized in that, in the power supply redundancy protection module, the priority order of the power supply units is: micro energy storage battery > photovoltaic power generation module > electromagnetic induction module; when the voltage of the main power supply unit is lower than the threshold, the system switches to the next priority power supply unit within a preset time (e.g., 10ms); the switching process adopts a contactless electronic switch to ensure uninterrupted power supply; when multiple power supply units are available at the same time, the system prioritizes the use of ambient energy harvesting, with the energy storage battery as a backup.

[0017] 8. A hybrid power supply and intelligent energy consumption scheduling method based on a photoconductive film, characterized by comprising the following steps: S1: System initialization, detecting the status of each power supply unit, and establishing a power supply capacity baseline; S2: Real-time monitoring of the output voltage, current, remaining power, and ambient light intensity of each power supply unit; S3: Identify the currently running application scenario and obtain the scenario priority level; S4: Dynamically select the power source based on scenario priority, power supply status, and user settings; S5: Allocate energy consumption according to scheduling strategy. High-priority scenarios will prioritize the use of stable power supply, while low-priority scenarios will prioritize the use of environmental energy harvesting. S6: Automatically enters deep sleep mode and shuts down unnecessary power supply units when preset low power conditions are met; S7: When the main power supply unit fails, it automatically switches to the backup power supply unit to ensure uninterrupted power supply. S8: Regularly generate energy consumption reports and push them to user terminals.

[0018] 9. The method according to claim 8, wherein in step S4, the power supply source selection rule is: high-priority scenarios prioritize the use of stable power supply, and low-priority scenarios prioritize the use of environmental energy harvesting; user-defined scheduling strategies override the system default rules.

[0019] 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 8-9. Detailed Implementation

[0020] System architecture and data flow The core innovation of this system lies in combining multi-source power supply units with scenario priority scheduling to achieve intelligent energy consumption management of the photoconductor film in different application scenarios.

[0021] The system architecture is as follows: Unified Identity Authentication Center: Deployed on the user-designated home device (default mobile phone), it uses a unique identity recognition system based on the photoconductor film as the basis for energy consumption scheduling. The system loads user-preset personalized scheduling strategies (such as energy-saving mode and performance mode) through identity recognition, allowing different users to set different energy consumption preferences.

[0022] Multi-source power supply unit: integrated into the non-display area at the edge of the photoconductive film, including a photoelectric power generation module (flexible thin-film solar cell), an electromagnetic induction module (micro coil), and a micro energy storage battery (solid-state thin-film battery).

[0023] Power supply status monitoring module: Monitors the status of each power supply unit in real time, updating the data once per second.

[0024] Scene priority identification module: Identifies the priority of the current application scene (life safety level 1, property safety level 2, social services level 3, health monitoring level 4, daily interaction level 5).

[0025] Energy consumption scheduling module: Dynamically selects the power source based on scenario priority and power supply status.

[0026] Low power management module: Automatically enters deep sleep mode when preset low power conditions are met.

[0027] Power supply redundancy protection module: When the main power supply unit fails, it automatically switches to the backup unit with a switching time of ≤10ms.

[0028] Data flow path: 1. System initialization, checking the status of each power supply unit; 2. The power supply status monitoring module collects power supply data in real time; 3. The scene priority recognition module obtains the current scene priority; 4. The energy consumption scheduling module selects the power source based on priority and power supply status; 5. The low-power management module enters sleep mode when certain conditions are met; 6. The power supply redundancy protection module switches to the backup unit when the main unit fails; 7. The system generates energy consumption reports periodically.

[0029] The following provides a detailed description of each module: Example 1: Everyday Use Scenario - Health Monitoring (Level 4 Priority) User Zhang routinely uses a blood pressure monitoring app (health monitoring category, level 4 priority). The system detects an ambient light level of 300 lux, a photovoltaic module output voltage of 3.2V, an output current of 15mA, and a micro-energy storage battery charge of 85%. The energy consumption scheduling module decides to prioritize power supply from the photovoltaic module, with the energy storage battery as a backup. When the blood pressure monitoring app is running, the photovoltaic module provides 80% of the power consumption, and the energy storage battery provides 20% supplementary power. The system checks the power supply status every 30 seconds, and when the ambient light level drops below 100 lux, it automatically increases the energy storage battery's power supply ratio to 50%.

[0030] Example 2: Emergency Scenario - Life Safety Category (Level 1 Priority) While user Wang was driving, the vehicle emergency assistance application detected a collision (life safety category, level 1 priority). The system detected that the micro-energy storage battery had 65% charge, the photovoltaic module output voltage was 1.2V (insufficient ambient light), and the electromagnetic induction module output voltage was 2.5V (vehicle electromagnetic field). The energy consumption scheduling module decided to force the use of the micro-energy storage battery for power supply to ensure power stability. The power redundancy protection module used the energy storage battery as the primary power supply unit, with the electromagnetic induction module as a supplement. After the collision event was handled, the system automatically resumed the normal scheduling strategy.

[0031] Example 3: Low power consumption scenario - nighttime standby User Li was sleeping at night with his phone placed next to his pillow. After 10 minutes of inactivity, the current scene priority was level 5 (no activity), and the ambient light level was below 50 lux. The low-power management module detected that the preset low-power conditions were met (10 minutes of inactivity, scene priority level 5, ambient light level below 50 lux). The system automatically entered deep sleep mode: shutting down the photoelectric generation module and the electromagnetic induction module, retaining only a small output from the micro-energy storage battery (to maintain the real-time clock and wake-up circuit), reducing power consumption to 5% of normal mode. At 4:00 AM, the health monitoring application detected an abnormal heart rate in Li (level 3 priority). The system woke up within 50ms, restored power, and initiated the abnormal heart rate warning process.

[0032] Example 4: Power Supply Redundancy Switching Scenario User Zhang was using a virtual reality application (Level 3 priority) outdoors, with the photovoltaic module as the primary power supply. Suddenly, cloud cover blocked the light, causing the ambient illuminance to drop sharply from 5000 lux to 50 lux. The output voltage of the photovoltaic module dropped from 4.5V to 1.8V, below the operating threshold (2.5V). The power redundancy protection module detected the voltage drop within 8ms and automatically switched to the micro-energy storage battery for power. The switching process was contactless, ensuring uninterrupted power supply. After the clouds cleared and sunlight returned, the system automatically switched back to the photovoltaic module for power, simultaneously charging the energy storage battery.

[0033] Example 5: User-defined scheduling strategy User Zhao wanted to extend the battery life of his energy storage device, so he set a custom scheduling policy in the unified identity authentication center: for all scenarios at level four and below, only ambient energy harvesting is used, and the use of the energy storage device is prohibited; for scenarios at level three and above, the energy storage device is prioritized. After setting this, when the health monitoring application (level four priority) is running, even if the energy storage device has sufficient power, the system still uses only the photovoltaic module for power; when ambient light is insufficient, the application reduces the sampling frequency instead of using the energy storage device. Zhao can adjust the policy at any time according to actual needs. Exception handling mechanism

[0034] 1. Insufficient power supply handling: When the output voltage of all power supply units is lower than the operating threshold, the system automatically reduces the power consumption of non-core functions (such as reducing the sampling frequency of health monitoring and turning off virtual world effects) to ensure that core functions (life safety related) can run; if it is still insufficient, the system pushes a reminder: "Insufficient power supply, please check the photoconductor film adhesion or charge the device." 2. Over-discharge protection for energy storage battery: When the voltage of the micro energy storage battery is lower than 2.8V, the charge and discharge management circuit automatically cuts off the output to protect the battery; the system pushes a reminder: "The energy storage battery is depleted, please charge it." After the battery resumes charging, the system automatically returns to normal function.

[0035] 3. Power supply switching failure handling: When the power supply redundancy protection module detects a failure of the main power supply unit and a failure to switch to the backup unit, the system records a fault log and pushes a reminder: "Power supply system abnormal, please check the photoconductor film." At the same time, it attempts to restart the power supply module.

[0036] 4. Hibernation wake-up failure handling: If the system cannot be woken up normally during hibernation, the timer will automatically wake up the system after a preset time (e.g., 1 hour) and reinitialize the power supply module. Beneficial effects

[0037] 1. Multi-source power supply coordination: It integrates three power sources: photovoltaic power generation, electromagnetic induction, and micro energy storage battery, and dynamically switches according to the priority of the scenario, improving the power supply reliability by more than 90%; 2. Scenario-based energy consumption scheduling: High-priority scenarios prioritize the use of stable power supply (energy storage batteries), low-priority scenarios prioritize the use of environmental energy harvesting, and critical scenarios have a 100% power supply guarantee rate; 3. Low power consumption optimization: Power consumption is reduced by 95% in deep sleep mode, extending the battery life; 4. Power supply redundancy guarantee: If the main power supply unit fails, the backup unit will automatically switch within 10ms, ensuring uninterrupted power supply; 5. User-defined strategies: Supports users to customize energy consumption scheduling strategies according to their needs, balancing performance and battery life; 6. Real-time power supply monitoring: Updates power supply status every second, providing real-time data support for scheduling decisions; 7. Energy storage battery management: Built-in charge and discharge management circuit to prevent overcharging and over-discharging, extending battery life; 8. Technological Synergy: This system integrates a distributed management system and a patented scenario priority scheduling mechanism to form a complete closed loop of "identity → scenario → energy consumption → scheduling," which is the core infrastructure for the intelligent operation of the photoconductive film.

Claims

1. A hybrid power supply and intelligent energy consumption scheduling system based on a photoconductive film, characterized in that, include: The unified identity authentication center is used to collect the optical spectrum characteristics of users' human bodies through the optical guide film and generate a unique identity feature code, which serves as the identity basis for energy consumption scheduling. The system loads user-preset personalized scheduling strategies through identity recognition; The multi-source power supply unit is integrated into the non-display area at the edge of the photoconductor film, including a photoelectric power generation module, an electromagnetic induction module, and a micro energy storage battery; The power supply status monitoring module is used to monitor the output voltage, current, remaining power and ambient light intensity of each power supply unit in real time. The scenario priority identification module is used to identify the scenario priority level based on the currently running application scenario; The energy consumption scheduling module is used to dynamically select the power source and allocate energy consumption based on scene priority, power supply status, and user settings. High-priority scenes prioritize the use of stable power supply, while low-priority scenes prioritize the use of environmental energy harvesting. The low-power management module is used to automatically enter deep sleep mode and shut down unnecessary power supply units when preset low-power conditions are met. The power supply redundancy protection module is used to automatically switch to the backup power supply unit when the main power supply unit fails, ensuring uninterrupted power supply in critical scenarios.

2. The system according to claim 1, characterized in that, The photoelectric power generation module uses flexible thin-film solar cells, and the conversion efficiency can reach more than 15% under standard test conditions (AM1.5, 1000W / m², 25℃); the electromagnetic induction module uses a micro coil to generate electrical energy by sensing the electromagnetic field of the terminal device; the micro energy storage battery uses a solid-state thin-film battery with a preset capacity of 10-50mAh and a built-in charge and discharge management circuit.

3. The system according to claim 1, characterized in that, The power supply status monitoring module monitors data including: output voltage and current of the photovoltaic module, output voltage and current of the electromagnetic induction module, power level and charging status of the micro energy storage battery, and ambient light intensity; the monitoring data is updated once per second.

4. The system according to claim 1, characterized in that, In the scenario priority identification module, the scenario priority levels are as follows: life safety scenarios are the highest priority (level 1); property safety scenarios are the second highest (level 2); social service scenarios are the third highest (level 3); health monitoring scenarios are the fourth highest (level 4); and daily interaction scenarios are the lowest (level 5).

5. The system according to claim 1, characterized in that, The energy consumption scheduling module dynamically selects the power source based on scenario priority: high-priority scenarios prioritize the use of stable power supply (micro energy storage battery), while low-priority scenarios prioritize the use of environmental energy harvesting (photovoltaic power generation module, electromagnetic induction module); users can customize scheduling strategies in the unified identity authentication center to override the system default strategy.

6. The system according to claim 1, characterized in that, In the low-power management module, the deep sleep mode is defined as shutting down all unnecessary power supply units and retaining only a small output from the micro energy storage battery; the system automatically enters the deep sleep mode when the preset low-power conditions are met. The preset low-power conditions include at least one of the following: no user interaction for a continuous preset time, the current scene priority is the lowest level, and the ambient light intensity is lower than a preset threshold; if user interaction or a high-priority scene is detected during the sleep period, the system wakes up and restores power supply within a preset time.

7. The system according to claim 1, characterized in that, In the power supply redundancy protection module, the priority order of the power supply units is: micro energy storage battery > photovoltaic power generation module > electromagnetic induction module; when the voltage of the main power supply unit is lower than the threshold, the system switches to the next priority power supply unit within a preset time (e.g., 10ms); The switching process uses a contactless electronic switch to ensure uninterrupted power supply; when multiple power supply units are available at the same time, the system prioritizes the use of ambient energy harvesting, with energy storage batteries as backup.

8. A hybrid power supply and intelligent energy consumption scheduling method based on a photoconductive film, characterized in that, Includes the following steps: S1: System initialization, detecting the status of each power supply unit, and establishing a power supply capacity baseline; S2: Real-time monitoring of the output voltage, current, remaining power, and ambient light intensity of each power supply unit; S3: Identify the currently running application scenario and obtain the scenario priority level; S4: Dynamically select the power source based on scenario priority, power supply status, and user settings; S5: Allocate energy consumption according to scheduling strategy. High-priority scenarios will prioritize the use of stable power supply, while low-priority scenarios will prioritize the use of environmental energy harvesting. S6: Automatically enters deep sleep mode and shuts down unnecessary power supply units when preset low power conditions are met; S7: When the main power supply unit fails, it automatically switches to the backup power supply unit to ensure uninterrupted power supply. S8: Regularly generate energy consumption reports and push them to user terminals.

9. The method according to claim 8, characterized in that, In step S4, the power source selection rule is: high-priority scenarios prioritize stable power supply, and low-priority scenarios prioritize environmental energy harvesting; user-defined scheduling strategies override the system default rules.

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 8-9.