A smart display screen and a multi-level security control method based on the display screen

Abstract

The present invention discloses an intelligent display screen and a multi-level safety control method based on the display screen. The grid layout of the digital temperature sensor layer breaks through the limitations of traditional single-point temperature measurement, and can capture the three-dimensional temperature field distribution of the screen and internal components in real time, identify local overheating risk areas in advance, and provide data support for the grading strategy of intelligent mobile terminals, effectively preventing damage to mobile intelligent terminals and personal injury to users caused by high temperature. Through the three-dimensional data fusion of temperature gradient, biometric characteristics and environmental spectrum, it can accurately identify the different states of the device such as handheld operation and pocket storage, and can more accurately identify different working environments, provide decision-making basis for the response action of the mobile device, and at the same time improve the abnormal response speed of the mobile device. The multi-level safety control method for the intelligent display screen of the present invention realizes precise and scenario-based active safety protection through the combination of multimodal sensor data fusion and intelligent decision-making mechanism.

Description

Technical Field

[0001] The present invention relates to the technical field of mobile intelligent terminals, and in particular to an intelligent display screen and a multi-level security control method based on the display screen. Background Art

[0002] As described in the published patent with publication number CN207910837U, a mobile phone, also known as a mobile phone, is a mobile phone that can be held in the hand. Until now, mobile phones have become a very important tool in people's lives and have diverse functions like a Swiss Army knife.

[0003] As mobile phones and other electronic products gradually move towards a trend of becoming thinner and lighter, chip power consumption is increasing, and the heat dissipation problem of electronic products is becoming more and more prominent. In particular, the chips inside the mobile phone are increasingly closely fitted, which makes it easier for the phone to heat up, shortening the service life of the phone. At the same time, accidents such as fires caused by overheating inside the phone during charging also occur from time to time.

[0004] As described in the published patent with publication number CN210839727U, a mobile phone, also known as a mobile phone or wireless phone, commonly referred to as a mobile phone, was originally just a communication tool. In the early days, it was also commonly known as a "big brother". It is a portable telephone terminal that can be used in a wide range. It was first developed from a battlefield mobile phone manufactured by Bell Laboratories in the United States in 1940.

[0005] As mobile phones become more powerful, overheating is becoming more common. Some phones can overheat significantly after prolonged use. Unintentional overuse of phones can lead to overheating, shortening their lifespan. Long-term use can also harm health, and in severe cases, can even lead to phone explosions. Therefore, there is a need for a new overheating protection device that addresses these technical issues.

[0006] As described in the published patent application CN207251738U, mobile phone usage remains high, but this poses safety risks, particularly explosions, such as the Samsung phone explosion incident. A sudden explosion can not only injure people but, in severe cases, lead to serious accidents such as fires. Battery overheating is a major cause of mobile phone explosions. The normal operating temperature of a mobile phone battery is between -20°C and 60°C. Prolonged use or while charging can cause the phone's temperature to rise rapidly, even exceeding the normal operating temperature range and causing accidents. Research has revealed that no product on the market can alert users when a phone's temperature is too high. Therefore, a device with an overheating detection and alarm circuit has been designed for a mobile phone case. When the phone overheats for a period of time or multiple times, the device flashes a small alarm light and plays a melody to alert the user. This alerts the user to monitor the phone's temperature, identify any hazards, and replace the battery.

[0007] To sum up, during the use of existing mobile smart terminals, due to the uneven production quality of many manufacturers or improper usage habits of users, the mobile smart terminals may experience abnormal temperature rises in a short period of time that the users cannot detect in time, which may easily damage the mobile smart terminals or even cause personal injury to the users. Summary of the Invention

[0008] In order to overcome the above-mentioned shortcomings, the present invention aims to provide a technical solution of a multi-level security control method for an intelligent display screen that can solve the above-mentioned problems.

[0009] To achieve the above object, the present invention provides the following technical solutions:

[0010] A smart display screen integrates a multispectral ambient light sensor array and an iris scanning component within the screen's front-facing camera module;

[0011] The following functional layers are compositely arranged between the substrate and the touch layer:

[0012] A digital temperature sensing layer, wherein multiple digital temperature sensors are distributed in a grid pattern in the effective touch area of ​​the screen to obtain real-time temperature distribution data of the screen and under-screen. The deployment of the multiple digital temperature sensors includes a first area, a second area, and a third area. The first area includes the area corresponding to the processor, battery, and wireless charging module. The second area includes the area corresponding to the 5G communication module, camera module, and screen driver IC. The third area includes other areas except the first and second areas. The distribution density of digital temperature sensors in each area follows the order of first area < second area < third area.

[0013] Under-screen biometric module, including millimeter-wave radar array and capacitive biometric sensor.

[0014] As a further solution of the present invention: comprising the following steps:

[0015] A scenario judgment matrix is ​​established through collaborative analysis of the following parameters to perform composite scenario judgment:

[0016] Capture, identify and locate the face area through the camera;‌

[0017] The user's pupil focusing frequency and gaze direction parameters obtained by the iris scanning component;

[0018] Ear contact characteristics and clothing material dielectric constant detected by the under-screen biometric module;

[0019] The frequency of sudden changes in ambient light intensity and the distribution of ultraviolet spectrum detected by the multispectral ambient light sensor;

[0020] Temperature gradient distribution characteristics collected by the digital temperature sensing layer;

[0021] Differentiated operations are performed based on the output of the scene judgment matrix, and the mobile smart terminal performs dynamic response control.

[0022] As a further solution of the present invention: the scene judgment matrix includes the following working steps:

[0023] After capturing, identifying and locating the face area through the camera;

[0024] Primary gaze determination:

[0025] The user's pupil focusing frequency and gaze direction vector are acquired in real time through the iris scanning component;

[0026] Detecting whether the pupil focusing frequency is greater than a threshold frequency and whether the gaze direction vector continues to point to the core display area of ​​the screen for more than a predetermined time;

[0027] Secondary bio-behavioral verification:

[0028] The multispectral ambient light sensor analyzes the fluctuation characteristics of ambient light intensity and detects whether the fluctuation of the intensity of the light reflected from the screen surface changes synchronously with the user's blinking frequency.

[0029] Differentiated operations are performed through primary gaze determination and secondary biological behavior verification output, and the mobile smart terminal performs dynamic response control.

[0030] As a further solution of the present invention: the dynamic response control of the mobile intelligent terminal includes the following working steps:

[0031] S100: When the pupil focusing frequency is greater than a threshold frequency and the gaze direction vector continues to point to the core display area of ​​the screen for longer than a predetermined time, the intensity fluctuation of the light reflected from the screen surface changes synchronously with the user's blinking frequency;

[0032] S110: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first temperature threshold T1, a semi-transparent thermal map is generated at a position corresponding to area Z1 on the display screen. The color depth of the semi-transparent thermal map is positively correlated with the temperature value of area Z1. Within a subsequent first time range t‌1, when the temperature change of area Z1 is less than the first temperature change interval ΔT1, the semi-transparent thermal map gradually fades and disappears, and a semi-transparent text or image prompt is generated on the display screen to guide the user to perform a third-level safety operation.

[0033] S120: Within the next first time range t‌1, when the temperature change in any area is greater than the first temperature change interval ΔT1 and exceeds the second temperature threshold T2, the mobile smart terminal generates a red pulse warning box at the edge of the screen, identifies whether there is charging activity in the current scene, triggers a step-by-step reduction of the charging current, and generates a text or image prompt on the display screen to guide the user to perform a secondary safety operation;

[0034] S130: Record step S110 as active use state one, and record step S120 as active use state two.

[0035] As a further solution of the present invention: the dynamic response control of the mobile intelligent terminal includes the following working steps:

[0036] S200: when the pupil focusing frequency is less than the threshold frequency and the gaze direction vector continues to point to the core display area of ​​the screen for longer than a predetermined time, the fluctuation of the intensity of the light reflected from the screen surface does not change synchronously with the blinking frequency of the user;

[0037] S210: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first temperature threshold T1, the mobile smart terminal generates vibration feedback with a gradually increasing frequency. Within a subsequent first time range t‌1, when the temperature change in area Z1 is less than the first temperature change interval ΔT1, the mobile smart terminal generates vibration feedback with a gradually decreasing frequency and generates a text or image prompt on the display screen to guide the user to perform a third-level safety operation.

[0038] When the temperature of the area Z1 returns to less than the first temperature threshold T1, the mobile smart terminal stops vibrating feedback;

[0039] S220: Record step S210 as inactive use state 1;

[0040] S300: when the pupil focusing frequency is less than the threshold frequency and the gaze direction vector continues to point to the core display area of ​​the screen for longer than a predetermined time, the fluctuation of the intensity of the light reflected from the screen surface does not change synchronously with the blinking frequency of the user;

[0041] S310: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first temperature threshold T1, the mobile smart terminal generates vibration feedback with gradually increasing frequency. Within the following first time range t‌1, when the temperature change in any area Z1 is greater than the first temperature change interval ΔT1 and exceeds a second temperature threshold T2, the mobile smart terminal generates continuous high-intensity vibration feedback and generates a red pulse warning box at the edge of the screen. The pulse frequency is positively correlated with the temperature rise rate. At the same time, three random high-temperature warning unlock prompts are generated in the corresponding sliding directions at the corresponding position of area Z1 to guide the user to actively slide to unlock. At the same time, it identifies whether there is charging behavior in the current scene and triggers a step-by-step attenuation mechanism for the charging current.

[0042] S320: Within the next second time range t2, the user actively slides to unlock, the vibration feedback and the red pulse warning box are turned off, and a text or picture prompt is generated on the display screen to guide the user to perform the secondary security operation;

[0043] If the user does not actively slide to unlock within the next second time range t2, a voice announcement is generated and a text or picture prompt is generated on the display screen to guide the user to perform the first-level security operation;

[0044] At the same time, encrypted vibration code instructions are sent to the smart bracelet through the Internet of Things protocol to trigger the gradually increasing vibration mode;

[0045] S330: When generating the voice announcement, the mobile smart terminal checks whether an earphone is currently connected. If the earphone is not connected, the voice announcement is performed through the external speaker;

[0046] When headphones are connected, the voice announcement is first played through the headphones. Within the third time range t3, if the user does not actively slide to unlock, the audio output is forced to switch to the external speaker for voice announcement, and the voice announcement command is sent to the smart speaker through the Internet of Things protocol.

[0047] S340: Record step S310 as inactive use state 2.

[0048] As a further solution of the present invention: the scene judgment matrix includes the following working steps:

[0049] After capturing, identifying and locating the side profile of the face through the camera;

[0050] Primary ear contour determination:

[0051] The millimeter-wave radar array is used to capture the reflected beam characteristics of the ear contour;

[0052] During a call, slight ear movements trigger Doppler shifts, and spectrum analysis is used to determine whether it is live contact.

[0053] Secondary bio-behavioral verification:

[0054] When the ear touches the screen, the conductivity of the skin causes the capacitance value of the capacitive biometric sensor to jump;

[0055] The shape of the ear contact area is identified by the capacitive biometric sensor and cross-validated with the point cloud model.

[0056] Differentiated operations are performed through primary ear contour determination and secondary biological behavior verification output, and the mobile smart terminal performs dynamic response control;

[0057] The dynamic response control of the mobile intelligent terminal includes the following working steps:

[0058] S500: When the spectrum analysis determines that the contact is live, the capacitive biometric sensor identifies that the shape of the ear contact area is consistent with the outline of the point cloud model;

[0059] S510: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first threshold value T1, the mobile smart terminal generates vibration feedback with gradually increasing frequency. Within a subsequent first time range t‌1, when the temperature change in any area is less than a first temperature change ΔT1, the mobile smart terminal generates continuous high-intensity vibration feedback. When the temperature of area Z1 returns to less than the first threshold value T1, the mobile smart terminal stops the vibration feedback.

[0060] S520: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature change in any area Z1 is greater than the first temperature change interval ΔT1 and exceeds the second temperature threshold T2, the mobile smart terminal generates continuous high-intensity vibration feedback, interrupts the current call after generating a voice announcement in the earpiece, and generates a text or image prompt on the display to guide the user to perform a level 1 safety operation;

[0061] S530: Within the next second time range t2, when the temperature change in any zone Z1 is greater than the second temperature change interval ΔT2 and exceeds the third temperature threshold T3, the battery management system automatically disconnects the circuit;

[0062] S540: Record step S310 as call usage state one.

[0063] As a further solution of the present invention: the scene judgment matrix includes the following working steps:

[0064] The millimeter-wave radar array scans the distance variation characteristics between the device and the human contact surface. When periodic distance fluctuations are detected and the average distance is less than the preset human contact threshold, a preliminary determination of the movement status is triggered. Differentiated operations are executed based on the output of the preliminary determination of the movement status, and the mobile smart terminal performs dynamic response control.

[0065] The dynamic response control of the mobile intelligent terminal includes the following working steps:

[0066] S600: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first threshold value T1, the mobile smart terminal generates vibration feedback with gradually increasing frequency. Within a subsequent first time range t‌1, when the temperature change in any area is less than a first temperature change ΔT1, the mobile smart terminal generates vibration feedback with gradually decreasing frequency. When the temperature of area Z1 returns to less than the first threshold value T1, the mobile smart terminal stops the vibration feedback.

[0067] S610: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature change in any area Z1 is greater than the first temperature change interval ΔT1 and exceeds the second temperature threshold T2, the mobile smart terminal generates continuous high-intensity vibration feedback, broadcasts a voice message through the external speaker, and generates a text or image prompt on the display screen to guide the user to perform a level 1 safety operation;

[0068] S620: Within the next second time range t2, when the temperature change in any zone Z1 is greater than the second temperature change interval ΔT2 and exceeds the third temperature threshold T3, the battery management system automatically disconnects the circuit;

[0069] S640: Record step S610 as storage state one, and record step S620 as storage state two.

[0070] As a further solution of the present invention: the scene judgment matrix includes the following working steps:

[0071] The iris scanning component periodically detects the user's eye status. When the closed eye features are continuously captured and the pupil movement trajectory matches the sleep tremor pattern, the primary sleep determination is triggered.

[0072] The low-frequency light intensity fluctuation curve of the multispectral ambient light sensor is analyzed simultaneously. When a stable dark light feature that matches the periodic shutdown of the ambient light source is detected, the environmental status verification is completed.

[0073] The capacitive biometric sensor in the under-display biometric layer scans the contact surface medium characteristics. When the capacitive response spectrum of the fabric fiber and sponge composite material is identified, it confirms that the device is in a pillow-covered scenario.

[0074] Differentiated operations are performed through primary sleep determination, environmental status verification, and pillow coverage scenarios, and mobile smart terminals perform dynamic response control;

[0075] The dynamic response control of the mobile intelligent terminal includes the following working steps:

[0076] S700: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first threshold value T1, the mobile smart terminal generates a text or picture prompt on the display screen. Within a subsequent first time range t‌1, when the temperature change in any area is less than the first temperature change ΔT1, the mobile smart terminal text or picture prompt gradually fades. When the temperature of area Z1 returns to less than the first threshold value T1, the mobile smart terminal text or picture prompt pops up and is stored in a drop-down bar.

[0077] S710: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature change in any area Z1 is greater than the first temperature change interval ΔT1 and exceeds the second temperature threshold T2, the mobile smart terminal generates continuous high-intensity vibration feedback, broadcasts a voice message through the external speaker, and generates a text or image prompt on the display screen to guide the user to perform a first-level safety operation;

[0078] S720: Within the following second time range t2, when the temperature change in any zone Z1 is greater than the second temperature change interval ΔT2 and exceeds the third temperature threshold T3, a voice broadcast instruction is sent to the smart speaker via the Internet of Things protocol, an encrypted vibration code instruction is sent to the smart bracelet via the Internet of Things protocol, and an abnormal flashing instruction is sent to the home lighting system via the Internet of Things. After the third time range t3 has passed, the battery management system automatically disconnects the circuit;

[0079] S730: Record step S710 as sleep state one, and record step S720 as sleep state two.

[0080] As a further solution of the present invention: the active use state 1, the inactive use state 1, the storage state 1 and the sleep state 1 are included in a cloud history record database, and when the frequency of occurrence of the above states is greater than a threshold value n1, a first notification message is sent to the user;

[0081] The active use state 2, inactive use state 2, call use state 1, storage state 2 and sleep state 2 are included in the cloud real-time operation record database. When the frequency of occurrence of the above states is greater than the threshold n2, a second notification message is sent to the user, and usage reference and maintenance reference opinions are provided to the user based on the real-time operation record database.

[0082] Compared with the prior art, the present invention has the following beneficial effects:

[0083] The grid layout of the digital temperature sensor layer breaks through the limitations of traditional single-point temperature measurement. It can capture the three-dimensional temperature distribution of the screen and internal components in real time, identify local overheating risk areas in advance, and provide data support for the tiered strategy of smart mobile terminals, effectively preventing damage to mobile smart terminals and personal injury to users caused by high temperatures.

[0084] By integrating three-dimensional data from temperature gradients, biometrics, and ambient spectra, the system can accurately identify different states of the device, such as handheld operation, pocket storage, or desktop placement. This allows for more accurate identification of different working environments, providing a basis for decision-making regarding the mobile device's response actions and improving the device's abnormal response speed.

[0085] The multi-level security control method for intelligent display screens of the present invention realizes precise and scenario-based active security protection through the combination of multimodal sensor data fusion and intelligent decision-making mechanism. BRIEF DESCRIPTION OF THE DRAWINGS

[0086] Figure 1 This is a workflow diagram of the multi-level security control method for the smart display screen in the present invention. DETAILED DESCRIPTION

[0087] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0088] See also Figure 1 , a smart display screen,

[0089] Integrating a multispectral ambient light sensor array and iris scanning components into the screen's front-facing camera module;

[0090] The following functional layers are compositely arranged between the substrate and the touch layer:

[0091] A digital temperature sensing layer, wherein multiple digital temperature sensors are distributed in a grid pattern in the effective touch area of ​​the screen to obtain real-time temperature distribution data of the screen and under-screen. The deployment of the multiple digital temperature sensors includes a first area, a second area, and a third area. The first area includes the area corresponding to the processor, battery, and wireless charging module. The second area includes the area corresponding to the 5G communication module, camera module, and screen driver IC. The third area includes other areas except the first and second areas. The distribution density of digital temperature sensors in each area follows the order of first area < second area < third area.

[0092] An under-screen biometric module, including a millimeter-wave radar array and a capacitive biometric sensor;

[0093] The intelligent display screen of the present invention realizes the deep integration of multi-dimensional perception and intelligent control through an innovative functional layer composite architecture;

[0094] The grid layout of the digital temperature sensor layer breaks through the limitations of traditional single-point temperature measurement. It can capture the three-dimensional temperature distribution of the screen and internal components in real time, identify local overheating risk areas in advance, and provide data support for the tiered strategy of smart mobile terminals, effectively preventing damage to mobile smart terminals and personal injury to users caused by high temperatures.

[0095] During the use of smart mobile devices, the processor, battery, and wireless charging module belong to the core heat-generating areas of the first echelon, followed by the 5G communication module, camera module, and screen driver IC. The heat generation of other areas is significantly lower than the above two echelons. Therefore, the distribution density of digital temperature sensors is reasonably deployed, following the principle of "first area < second area < third area". Even if a small number of digital temperature sensors are set in the first area, high-heat temperature data can be well acquired. Moreover, reducing the number of digital temperature sensors also facilitates the deployment of the heat dissipation module in the first area. Similarly, the distribution density of digital temperature sensors in the second area is lower than that in the third area. Because the heat generation in the third area is not obvious, the deployment density of digital temperature sensors needs to be increased to better monitor abnormal temperature rises. At the same time, through reasonable sparse and dense arrangement, the number of digital temperature sensors used can be reduced. In existing production technologies, the unit cost of digital temperature sensors is relatively high. By reducing the number of digital temperature sensors used, the production cost of smart display screens can be better controlled.

[0096] The millimeter-wave radar array and capacitive biometric sensor work together to penetrate the screen protective layer without relying on visible light, achieving live biometric detection. Combined with the iris scanning component, it builds a multi-level identification security system.

[0097] The multispectral ambient light sensor array uses three channels of collaborative detection and combines temperature distribution data to dynamically optimize backlight module power consumption. In low-light environments, it automatically suppresses blue light bands and adjusts display brightness to match iris characteristics. It also analyzes ambient light intensity fluctuations to detect whether fluctuations in the intensity of reflected light on the screen surface are synchronized with the user's blinking frequency, completing biometric behavior verification.

[0098] The vertical stacking design of the functional layers integrates temperature sensing, biometric recognition, and environmental detection modules into the screen structure, achieving a multi-dimensional intelligent display while maintaining the basic functions of the screen.

[0099] By fusing three-dimensional data of temperature gradients, biometrics, and environmental spectra, it is possible to accurately identify whether the device is in different states, such as handheld operation, pocket storage, or desktop placement. This allows for more accurate identification of different working environments, providing a decision-making basis for the mobile device's response actions, while also improving the abnormal response speed of the mobile device.

[0100] A multi-level security control method for a smart display screen, based on the smart display screen structure described in claim 1, comprises the following steps:

[0101] A scenario judgment matrix is ​​established through collaborative analysis of the following parameters to perform composite scenario judgment:

[0102] Capture, identify and locate the face area through the camera;‌

[0103] The user's pupil focusing frequency and gaze direction parameters obtained by the iris scanning component;

[0104] Ear contact characteristics and clothing material dielectric constant detected by the under-screen biometric module;

[0105] The frequency of sudden changes in ambient light intensity and the distribution of ultraviolet spectrum detected by the multispectral ambient light sensor;

[0106] Temperature gradient distribution characteristics collected by the digital temperature sensing layer;

[0107] Differentiated operations are performed based on the output of the scene judgment matrix, and the mobile smart terminal performs dynamic response control;

[0108] The scene judgment matrix described in the present invention is implemented by the MCU on the mobile smart terminal. The interaction between the MCU and the smart display structure belongs to the existing public technology, and its working principle will not be described here in detail.

[0109] The multi-level security control method for intelligent display screens of the present invention achieves precise and scenario-based active security protection by combining multimodal sensor data fusion with intelligent decision-making mechanisms.

[0110] By cross-validating iris dynamic features (pupil focusing frequency and gaze direction vector) and biological contact features (ear contact pressure distribution, clothing dielectric constant), combined with spatiotemporal correlation analysis of ambient light mutation frequency and ultraviolet spectrum, a three-dimensional scene model is constructed that encompasses user behavior, device status, and environmental characteristics. This allows the device to accurately distinguish between complex scenarios such as normal use, abnormal grip, and dangerous storage, reducing the rate of misjudgment.

[0111] The digital temperature sensing layer generates a real-time temperature gradient distribution thermogram, which is dynamically correlated with the iris gaze direction data;

[0112] The scenario judgment matrix dynamically optimizes the weight distribution of each sensor data through machine learning. In the sleep scenario, it focuses on the joint verification of iris closed eye characteristics and pillow material recognition to ensure that the response strategy in different scenarios is accurately matched to the risk level;

[0113] A hierarchical alarm network is built based on Bluetooth and IoT protocols. When a high temperature risk is detected and the user is not in operation, the optimal alarm path (such as earphone pulse vibration, wristband silent reminder, or smart home audio and light alarm) is automatically selected based on the results of the scenario matrix analysis, achieving seamless and secure coverage from the device end to the user perception link.

[0114] By analyzing the correlation between the frequency of sudden changes in ambient light intensity and the temperature gradient, the screen refresh rate and the coupling relationship between the smart mobile terminal are dynamically adjusted when sudden strong thermal radiation (such as direct sunlight) is identified, thereby suppressing abnormal temperature rise within a safe threshold while ensuring the display effect.

[0115] In an embodiment of the present invention, the scene judgment matrix includes the following steps:

[0116] After capturing, identifying and locating the face area through the camera;

[0117] Primary gaze determination:

[0118] The user's pupil focusing frequency and gaze direction vector are acquired in real time through the iris scanning component;

[0119] Detecting whether the pupil focusing frequency is greater than a threshold frequency and whether the gaze direction vector continues to point to the core display area of ​​the screen for more than a predetermined time;

[0120] Secondary bio-behavioral verification:

[0121] The multispectral ambient light sensor analyzes the fluctuation characteristics of ambient light intensity and detects whether the fluctuation of the intensity of the light reflected from the screen surface changes synchronously with the user's blinking frequency.

[0122] Differentiated operations are performed through primary gaze determination and secondary biological behavior verification output, and the mobile smart terminal performs dynamic response control;

[0123] The embodiment of the present invention builds a human-machine collaborative security protection system through the deep integration of multi-dimensional biological behavior verification and intelligent interaction mechanism;

[0124] The dual biometric behavioral verification mechanism effectively distinguishes between real operation scenarios and false touch interference through spatiotemporal correlation analysis of iris dynamic characteristics (pupil focusing frequency and gaze direction vector) and ambient light reflection characteristics (screen reflection fluctuations and blinking rhythm), avoiding false triggering of gaze tracking technology due to ambient reflections or brief gaze.

[0125] In an embodiment of the present invention, the dynamic response control of the mobile intelligent terminal includes the following steps:

[0126] S100: When the pupil focusing frequency is greater than a threshold frequency and the gaze direction vector continues to point to the core display area of ​​the screen for longer than a predetermined time, the intensity fluctuation of the light reflected from the screen surface changes synchronously with the user's blinking frequency;

[0127] S110: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first temperature threshold T1, a semi-transparent thermal map is generated at a position corresponding to area Z1 on the display screen. The color depth of the semi-transparent thermal map is positively correlated with the temperature value of area Z1. Within a subsequent first time range t‌1, when the temperature change of area Z1 is less than the first temperature change interval ΔT1, the semi-transparent thermal map gradually fades and disappears, and a semi-transparent text or image prompt is generated on the display screen to guide the user to perform a third-level safety operation.

[0128] S120: Within the next first time range t‌1, when the temperature change in any area is greater than the first temperature change interval ΔT1 and exceeds the second temperature threshold T2, the mobile smart terminal generates a red pulse warning box at the edge of the screen, identifies whether there is charging activity in the current scene, triggers a step-by-step reduction of the charging current, and generates a text or image prompt on the display screen to guide the user to perform a secondary safety operation;

[0129] S130: Record step S110 as active use state 1, and record step S120 as active use state 2;

[0130] The beneficial effect of the technical solution described in the embodiment of the present invention is reflected in the construction of an adaptive protection system in high-interaction scenarios through the deep integration of user focus behavior perception and dynamic thermal safety guidance;

[0131] In steps S100-S130, the high-intensity usage status precise identification mechanism first verifies the user is in a high-load operation scenario such as gaming or watching videos through dual verification of pupil focusing frequency (high frequency reflects deep operation) and physiological rhythm synchronization (screen reflection fluctuations are consistent with blinking frequency), combined with continuous analysis of the gaze direction vector, accurately determining that the user is in a high-load operation scenario such as gaming or watching videos, avoiding unnecessary alerts that interfere with the user experience.

[0132] Secondly, the thermal risk visualization and tiered response system adopts a progressive intervention strategy and non-invasive thermal guidance. It generates a translucent heat map based on the temperature gradient (color depth is positively correlated with temperature, such as amber at 45°C and dark red at 55°C). While preserving the integrity of the core display content, it guides users through visual cues. The three-level safety operation prompts include: "The current device is at risk of overheating, please cool down."

[0133] When the temperature rise exceeds the second threshold T2, the flashing frequency of the red pulse warning box is dynamically bound to the temperature rise rate (for example, the pulse frequency increases by 1Hz for every 1°C / min increase), synchronously triggering the nonlinear step decay of the charging current (the greater the temperature gradient peak, the steeper the current reduction slope), thereby quickly reducing the charging current.

[0134] Guiding users to perform secondary security operations through graphic prompts not only enhances users' awareness of proactive operations but also verifies the authenticity of user status through interactive behavior.

[0135] The resulting intelligent protection ecosystem reduces the safety risks caused by local overheating while ensuring the smoothness of high-load scenarios through a closed-loop design of physiological behavior perception, thermal field visualization, and dynamic regulation.

[0136] In an embodiment of the present invention, the dynamic response control of the mobile intelligent terminal includes the following steps:

[0137] S200: when the pupil focusing frequency is less than the threshold frequency and the gaze direction vector continues to point to the core display area of ​​the screen for longer than a predetermined time, the fluctuation of the intensity of the light reflected from the screen surface does not change synchronously with the blinking frequency of the user;

[0138] S210: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first temperature threshold T1, the mobile smart terminal generates vibration feedback with a gradually increasing frequency. Within a subsequent first time range t‌1, when the temperature change in area Z1 is less than the first temperature change interval ΔT1, the mobile smart terminal generates vibration feedback with a gradually decreasing frequency and generates a text or image prompt on the display screen to guide the user to perform a third-level safety operation.

[0139] When the temperature of the area Z1 returns to less than the first temperature threshold T1, the mobile smart terminal stops vibrating feedback;

[0140] S220: Record step S210 as inactive use state 1;

[0141] S300: when the pupil focusing frequency is less than the threshold frequency and the gaze direction vector continues to point to the core display area of ​​the screen for longer than a predetermined time, the fluctuation of the intensity of the light reflected from the screen surface does not change synchronously with the blinking frequency of the user;

[0142] S310: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first temperature threshold T1, the mobile smart terminal generates vibration feedback with gradually increasing frequency. Within the following first time range t‌1, when the temperature change in any area Z1 is greater than the first temperature change interval ΔT1 and exceeds a second temperature threshold T2, the mobile smart terminal generates continuous high-intensity vibration feedback and generates a red pulse warning box at the edge of the screen. The pulse frequency is positively correlated with the temperature rise rate. At the same time, three random high-temperature warning unlock prompts are generated in the corresponding sliding directions at the corresponding position of area Z1 to guide the user to actively slide to unlock. At the same time, it identifies whether there is charging behavior in the current scene and triggers a step-by-step attenuation mechanism for the charging current.

[0143] S320: Within the next second time range t2, the user actively slides to unlock, the vibration feedback and the red pulse warning box are turned off, and a text or picture prompt is generated on the display screen to guide the user to perform the secondary security operation;

[0144] If the user does not actively slide to unlock within the next second time range t2, a voice announcement is generated and a text or picture prompt is generated on the display screen to guide the user to perform the first-level security operation;

[0145] At the same time, encrypted vibration code instructions are sent to the smart bracelet through the Internet of Things protocol to trigger the gradually increasing vibration mode;

[0146] S330: When generating the voice announcement, the mobile smart terminal checks whether an earphone is currently connected. If the earphone is not connected, the voice announcement is performed through the external speaker;

[0147] When headphones are connected, the voice announcement is first played through the headphones. Within the third time range t3, if the user does not actively slide to unlock, the audio output is forced to switch to the external speaker for voice announcement, and the voice announcement command is sent to the smart speaker through the Internet of Things protocol.

[0148] S340: Record step S310 as inactive use state 2;

[0149] The beneficial effects of the technical solutions described in the embodiments of the present invention are reflected in the construction of a full-scenario safety protection system from risk identification to mandatory intervention through a closed-loop architecture of multimodal perception, hierarchical response, and cross-device collaboration. First, the abnormal state intelligent judgment mechanism accurately identifies users in non-autonomous operation states (such as fatigued gaze or partial visual impairment) by analyzing the contradiction between pupil focus frequency and gaze vector (the conflicting characteristics of low-frequency gaze and directional persistence) and combining the asynchronous verification of screen reflected light fluctuations and physiological blinking rhythm. The temperature response-driven interactive guidance system adopts a three-level progressive strategy:

[0150] In steps S200-S210, by analyzing the contradictory characteristics of pupil focusing frequency (lower than the threshold indicates distraction or partial visual impairment of the user) and gaze direction persistence (long-term locking of the core area of ​​the screen reflects mechanical gaze), combined with the asynchrony verification of the screen reflected light fluctuation and blinking rhythm (eliminating the interference of biological rhythms during actual operation), the user's visual fatigue or passive gaze state can be accurately captured, thereby improving the accuracy of abnormal behavior recognition.

[0151] Secondly, the intelligent gradient tactile control system implements a three-level feedback strategy based on the dynamic characteristics of the temperature field: when local overheating is detected (the temperature exceeds the first temperature threshold T1), it uses a frequency-increasing vibration to create a risk escalation perception; if the temperature rise slows down within a preset time window (the temperature change is less than the first temperature change interval △T1), it automatically switches to attenuated vibration feedback to reduce interference; when the temperature returns to a safe range, the vibration stops immediately;

[0152] The resulting closed-loop thermal safety ecosystem dynamically couples abnormal behavior recognition with physical feedback, completing full-process control from thermal risk warning, operation guidance to state recovery without the user's awareness. This not only avoids the perceptual numbness problem caused by traditional continuous alarms, but also exposes possible safety risks. The beneficial effect of the technical solution described in the embodiment of the present invention is reflected in the intelligent linkage of user behavior abnormality detection and adaptive tactile feedback, which constructs an implicit safety guidance mechanism in the non-active operation state.

[0153] In steps S300-S340, a subconscious reminder is initially created through gradually increasing frequency vibration. When the temperature rise exceeds the T1 threshold, a red pulse warning box is superimposed (the pulse frequency is positively correlated with the temperature rise rate, such as 0.5Hz / ℃·min), using visual impact to enhance risk perception.

[0154] In high-temperature areas, three random slide-to-unlock prompts (such as a "left-right-up" directional combination) are generated. Through specific gestures, users are forced to touch the heat dissipation area to verify their wakefulness.

[0155] The charging status is detected synchronously and nonlinear current decay is triggered (e.g., the current is reduced by 5% every 10 seconds at T1 and by 15% every 5 seconds at T2) to meet the needs of rapid regulation.

[0156] Furthermore, the multi-device collaborative alarm network uses IoT protocols to build a hierarchical response chain: when connected to headphones, voice alarms are preferentially transmitted through the ear canal to avoid privacy leaks, and external speakers are forced to provide a backup. If there is no response within the t3 time window, the external speaker is forced to switch to overcome the user's perception shielding, and the smart bracelet's gradually increasing vibration and smart speaker broadcast alarm are simultaneously activated, forming a spatial three-dimensional reminder matrix.

[0157] In the next second time range t2, the user actively slides to unlock the device. At this time, the temperature rise time is limited, and the user can be guided to perform the secondary safety operation. The secondary safety operation prompts include: "Please place the device in a cool and ventilated place if it is overheated" and "Please suspend device use."

[0158] During the second time period t2, the user does not actively slide to unlock the device. Since the device continues to heat up for a while, this indicates a high risk. Therefore, the user is guided to perform a Level 1 safety operation. This includes using tools to move the mobile terminal to a location free of flammable materials and keeping it away from the device.

[0159] The resulting security protection ecosystem, through the deep integration of bio-behavioral verification, interactive guidance, and distributed alarms, completes full-process control from risk identification to global response in a short period of time, achieving a balance between security protection and user experience.

[0160] In an embodiment of the present invention, the scene judgment matrix includes the following steps:

[0161] After capturing, identifying and locating the side profile of the face through the camera;

[0162] Primary ear contour determination:

[0163] The millimeter-wave radar array is used to capture the reflected beam characteristics of the ear contour;

[0164] During a call, slight ear movements trigger Doppler shifts, and spectrum analysis is used to determine whether it is live contact.

[0165] Secondary bio-behavioral verification:

[0166] When the ear touches the screen, the conductivity of the skin causes the capacitance value of the capacitive biometric sensor to jump;

[0167] The shape of the ear contact area is identified by the capacitive biometric sensor and cross-validated with the point cloud model.

[0168] Differentiated operations are performed through primary ear contour determination and secondary biological behavior verification output, and the mobile smart terminal performs dynamic response control;

[0169] The dynamic response control of the mobile intelligent terminal includes the following working steps:

[0170] S500: When the spectrum analysis determines that the contact is live, the capacitive biometric sensor identifies that the shape of the ear contact area is consistent with the outline of the point cloud model;

[0171] S510: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first threshold value T1, the mobile smart terminal generates vibration feedback with gradually increasing frequency. Within a subsequent first time range t‌1, when the temperature change in any area is less than a first temperature change ΔT1, the mobile smart terminal generates continuous high-intensity vibration feedback. When the temperature of area Z1 returns to less than the first threshold value T1, the mobile smart terminal stops the vibration feedback.

[0172] S520: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature change in any area Z1 is greater than the first temperature change interval ΔT1 and exceeds the second temperature threshold T2, the mobile smart terminal generates continuous high-intensity vibration feedback, interrupts the current call after generating a voice announcement in the earpiece, and generates a text or image prompt on the display to guide the user to perform a level 1 safety operation;

[0173] S530: Within the next second time range t2, when the temperature change in any zone Z1 is greater than the second temperature change interval ΔT2 and exceeds the third temperature threshold T3, the battery management system automatically disconnects the circuit;

[0174] S540: Record step S310 as call usage state 1;

[0175] The beneficial effect of the scenario judgment matrix described in the embodiment of the present invention is reflected in the construction of a high-precision and anti-counterfeiting ear contact judgment system through the deep collaboration of multimodal biometric recognition and dynamic behavior verification;

[0176] First, the contactless liveness detection mechanism uses a millimeter-wave radar array to capture a three-dimensional point cloud model of the ear contour's reflected beam. Combined with the Doppler shift characteristics caused by micro-ear movements during a call (e.g., skin vibration frequency of 0.5-3Hz), it accurately distinguishes between live ear contact and biomimetic objects like silicone sleeves, preventing misidentification.

[0177] Secondly, multi-physics cross-validation technology uses capacitive sensors to detect the capacitance jump characteristics of the ear contact area. By geometrically matching the contact shape with the millimeter wave point cloud model (edge ​​curvature error <0.1mm), it achieves dual locking of physical contact and biometric features, solving the problem of misjudgment caused by sweat or stains caused by traditional single sensors.

[0178] In S500-540, first of all, the precise liveness determination mechanism uses dual verification of millimeter wave spectrum analysis (living ear micro-movement Doppler characteristics) and capacitive contact profile matching to ensure that overheating safety response is triggered during real user operation.

[0179] Secondly, the dynamic gradient response system adopts a three-level progressive strategy:

[0180] When the local temperature exceeds the T1 threshold, a vibration with increasing frequency is used to provide a non-intrusive reminder, using subconscious feedback to guide users to check their phone's condition.

[0181] When the temperature rise exceeds the T2 threshold, a voice announcement is superimposed to interrupt the call and a graphic guide is generated (such as a dynamic pop-up window with the message "Please move away from your ears to dissipate heat"). This forced interaction verifies the authenticity of the user's status and guides the user to perform safe operations. During a call, the mobile terminal device will be placed against the ear. If the mobile terminal device heats up abnormally and causes spontaneous combustion or explosion, it will cause great harm to the user. Therefore, when the temperature rise exceeds the T2 threshold, the user is directly guided to perform the first-level safety operation.

[0182] Extreme temperature rise (△T2+T3) triggers the battery management system's physical disconnection mechanism, which intelligently selects power-off areas based on the temperature gradient distribution (prioritizing isolation of power supply to modules in contact with the human body), quickly suppressing the risk of thermal runaway.

[0183] The resulting security ecosystem achieves seamless connection from risk warning, behavior guidance to hardware protection through spatiotemporal coupling analysis of biometrics and temperature fields, reducing security risks caused by high temperatures while ensuring call quality, achieving the optimal balance between security and usability.

[0184] The beneficial effect of the technical solution described in the embodiment of the present invention is reflected in the construction of an intelligent system that takes into account both safety protection and user experience through a closed-loop design of biological verification-temperature gradient response-graded security;

[0185] In an embodiment of the present invention, the scene judgment matrix includes the following steps:

[0186] The millimeter-wave radar array scans the distance variation characteristics between the device and the human contact surface. When periodic distance fluctuations are detected and the average distance is less than the preset human contact threshold, a preliminary determination of the movement status is triggered. Differentiated operations are executed based on the output of the preliminary determination of the movement status, and the mobile smart terminal performs dynamic response control.

[0187] The dynamic response control of the mobile intelligent terminal includes the following working steps:

[0188] S600: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first threshold value T1, the mobile smart terminal generates vibration feedback with gradually increasing frequency. Within a subsequent first time range t‌1, when the temperature change in any area is less than a first temperature change ΔT1, the mobile smart terminal generates vibration feedback with gradually decreasing frequency. When the temperature of area Z1 returns to less than the first threshold value T1, the mobile smart terminal stops the vibration feedback.

[0189] S610: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature change in any area Z1 is greater than the first temperature change interval ΔT1 and exceeds the second temperature threshold T2, the mobile smart terminal generates continuous high-intensity vibration feedback, broadcasts a voice message through the external speaker, and generates a text or image prompt on the display screen to guide the user to perform a level 1 safety operation;

[0190] S620: Within the next second time range t2, when the temperature change in any zone Z1 is greater than the second temperature change interval ΔT2 and exceeds the third temperature threshold T3, the battery management system automatically disconnects the circuit;

[0191] S640: Record step S610 as storage state 1, and record step S620 as storage state 2;

[0192] The beneficial effect of the technical solution described in the embodiment of the present invention is reflected in the construction of a full-scenario adaptive safety protection system through the collaborative mechanism of mobile state perception, temperature gradient response, and multi-level fuse protection;

[0193] First, dynamic environment perception uses millimeter-wave radar to capture the periodic distance fluctuation characteristics between the device and the human body, and combines it with a preset human contact threshold to accurately identify whether the device is in a pocket or in a handheld state.

[0194] Secondly, the intelligent gradient temperature control system adopts a three-level response strategy:

[0195] When the local temperature exceeds the T1 threshold, a vibration with gradually increasing frequency (e.g., 2Hz at 45°C, increasing by 1Hz every 5 seconds) is used to provide a non-intrusive reminder, guiding the user to check the phone's condition. The feedback is dynamically terminated based on the temperature recovery rate to avoid excessive interference.

[0196] When the temperature rise exceeds the T2 threshold, a voice announcement and graphic prompts are superimposed, forcing the user to perform the first-level safety operation. The positive correlation between vibration intensity and temperature rise rate is designed to improve risk perception efficiency. When a mobile terminal device is placed inside clothing, if the mobile terminal device abnormally heats up and causes spontaneous combustion or explosion, it will cause great safety hazards to the user. Therefore, when the temperature rise exceeds the T2 threshold, the user is directly guided to perform the first-level safety operation.

[0197] Extreme temperature rise (△T2+T3) triggers the battery management system's graded power-off mechanism, which prioritizes isolating power supply to high-temperature areas and cutting off the circuit in a short period of time to suppress the risk of thermal runaway to a millisecond-level response window.

[0198] The resulting closed-loop protection ecosystem achieves an optimal balance between security protection and operational smoothness through deep collaboration of mobile status prediction, multimodal human-computer interaction, and hardware fuses.

[0199] In an embodiment of the present invention, the scene judgment matrix includes the following steps:

[0200] The iris scanning component periodically detects the user's eye status. When the closed eye features are continuously captured and the pupil movement trajectory matches the sleep tremor pattern, the primary sleep determination is triggered.

[0201] The low-frequency light intensity fluctuation curve of the multispectral ambient light sensor is analyzed simultaneously. When a stable dark light feature that matches the periodic shutdown of the ambient light source is detected, the environmental status verification is completed.

[0202] The capacitive biometric sensor in the under-display biometric layer scans the contact surface medium characteristics. When the capacitive response spectrum of the fabric fiber and sponge composite material is identified, it confirms that the device is in a pillow-covered scenario.

[0203] Differentiated operations are performed through primary sleep determination, environmental status verification, and pillow coverage scenarios, and mobile smart terminals perform dynamic response control;

[0204] The dynamic response control of the mobile intelligent terminal includes the following working steps:

[0205] S700: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first threshold value T1, the mobile smart terminal generates a text or picture prompt on the display screen. Within a subsequent first time range t‌1, when the temperature change in any area is less than the first temperature change ΔT1, the mobile smart terminal text or picture prompt gradually fades. When the temperature of area Z1 returns to less than the first threshold value T1, the mobile smart terminal text or picture prompt pops up and is stored in a drop-down bar.

[0206] S710: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature change in any area Z1 is greater than the first temperature change interval ΔT1 and exceeds the second temperature threshold T2, the mobile smart terminal generates continuous high-intensity vibration feedback, broadcasts a voice message through the external speaker, and generates a text or image prompt on the display screen to guide the user to perform a first-level safety operation;

[0207] S720: Within the following second time range t2, when the temperature change in any zone Z1 is greater than the second temperature change interval ΔT2 and exceeds the third temperature threshold T3, a voice broadcast instruction is sent to the smart speaker via the Internet of Things protocol, an encrypted vibration code instruction is sent to the smart bracelet via the Internet of Things protocol, and an abnormal flashing instruction is sent to the home lighting system via the Internet of Things. After the third time range t3 has passed, the battery management system automatically disconnects the circuit;

[0208] S730: Record step S610 as sleep state 1, and record step S620 as sleep state 2;

[0209] The beneficial effect of the technical solution described in the embodiment of the present invention is reflected in the closed-loop design of multi-modal verification of sleep scenarios, non-sensory prompts, and coordinated circuit breaking of the ecological chain, which builds an intelligent control system that takes into account both safety protection and sleep quality assurance.

[0210] First, the triple sleep scene verification mechanism improves the accuracy of sleep state determination by cross-validating iris dynamic characteristics (eye closure duration and pupil tremor biorhythm), ambient light low-frequency fluctuation curve (matching the periodic light source shutdown pattern), and penetrating capacitive dielectric recognition (dielectric spectrum characteristics of fabric fiber and sponge composite materials). This effectively distinguishes between normal sleep and dangerously hot and stuffy scenes.

[0211] Secondly, the non-sensitive graded response strategy adopts three-level progressive control:

[0212] Flexible visual prompts: When the temperature exceeds the T1 threshold, a dynamic gradient text prompt (such as a semi-transparent "High Temperature Risk" prompt box) is used to provide a low-intrusion reminder. The prompt transparency is automatically adjusted according to the temperature recovery rate until it is included in the drop-down bar to avoid waking the user with strong light.

[0213] When the temperature rise exceeds the T2 threshold, high-frequency vibration (150Hz tactile feedback) and voice broadcast (the volume increases with the temperature rise rate) are superimposed, as well as light flashing reminders. Vibration coding of biosignals (such as three short vibrations and one vibration for a level 1 alarm) is used to awaken the user to intervene autonomously.

[0214] Extreme temperature rise (△T2+T3) triggers a coordinated response from the smart home - broadcasting encrypted voice commands to the smart speaker (such as "the phone in the bedroom is overheated"), sending gradually stronger vibration codes to the bracelet, and performing circuit hierarchical disconnection after the delay window (prioritizing the wireless charging module and retaining basic communication functions), achieving full coverage of risks.

[0215] The resulting sleep safety ecosystem, through improved scenario verification accuracy, optimized human-computer interaction interference, and deep integration of the IoT response link, shortens the thermal runaway response speed in the pillow-covered scenario to within 2 seconds while maintaining the user's sleep continuity, and reduces the false awakening rate, achieving a subversive balance between safety protection and sleep experience.

[0216] In this embodiment of the present invention, the capacitive biometric sensor includes an array of micron-scale capacitor plates embedded in the under-display biometric layer. A high-frequency alternating electric field (1-10 MHz) is applied to the plates. When the device touches or is in close proximity to fabric, the electric field penetrates the screen protector and acts on the fabric surface. Fiber structures of different materials (such as cotton, chemical fibers, and metal blends) exhibit characteristic variations in capacitive coupling strength due to differences in molecular polarity and conductivity. By measuring the decay rate and phase offset of the capacitance between the plates, the dielectric constant spectrum of the contacting material can be inferred.

[0217] During the contact process between the device and clothing, by real-time monitoring of the nonlinear characteristics of the dielectric constant changing with pressure (such as the piezoelectric effect of chemical fiber materials and the elastic deformation response of cotton materials), combined with machine learning algorithms to build a dynamic dielectric response model, it can distinguish between static placement and dynamic friction scenarios, and eliminate misjudgments caused by environmental humidity or accidental contact.

[0218] In the embodiment of the present invention, the active use state 1, the inactive use state 1, the storage state 1, and the sleep state 1 are included in the cloud history record database. When the frequency of occurrence of the above states is greater than a threshold value n1, a first notification message is sent to the user.

[0219] The active use state 2, the inactive use state 2, the call use state 1, the storage state 2, and the sleep state 2 are included in the cloud real-time operation record database. When the frequency of occurrence of the above states is greater than the threshold value n2, a second notification message is sent to the user, and usage reference and maintenance reference suggestions are provided to the user based on the real-time operation record database;

[0220] The beneficial effect of the technical solution described in the embodiment of the present invention is reflected in the establishment of a full life cycle equipment health management system through a collaborative mechanism of multi-state classification storage, cloud behavior modeling, and preventive maintenance guidance;

[0221] First, user behavior profiling technology categorizes and stores multiple states in a cloud database, including active / inactive usage (such as high-load gaming and unusual gripping) and storage / sleep scenarios (limited heat dissipation when moving in pockets and insufficient ventilation when covered by pillows). This technology combines historical frequency analysis (threshold n1) with real-time operation tracking (threshold n2) to accurately identify risk characteristics in device usage patterns (such as high-frequency, high-temperature storage scenarios or abnormal sleep temperature rise events), improving the accuracy of potential fault prediction. Second, the intelligent early warning and maintenance system adopts a dual-channel response strategy:

[0222] Analyze state correlations based on a historical database (e.g., frequent charging during sleep), push personalized usage suggestions (e.g., "Avoid charging under a pillow") through the first notification message, and flag hardware wear curve anomalies.

[0223] By dynamically matching the fault signature library with the real-time database (e.g., continuous triggering of temperature control fuses in active use state 2), a targeted solution is generated in conjunction with the cloud-based maintenance case library (e.g., "Camera module overheating, recommend cleaning dust from the optical image stabilization component") while sending the second notification message.

[0224] The resulting equipment health ecosystem achieves full process coverage from abnormality warning, root cause location to maintenance decision-making through spatiotemporal correlation analysis of status data, cloud-edge collaborative computing and preventive maintenance guidance, shortening the hidden fault detection cycle, extending the average failure-free time of equipment, and achieving systematic optimization of user experience and hardware reliability.

[0225] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims, not the foregoing description, and all variations within the meaning and range of equivalents of the claims are intended to be included therein. Any reference sign in a claim should not be construed as limiting the claim to which it relates.

Claims

1. A multi-level security control method for a smart display screen, characterized in that: include: A smart display screen integrates a multispectral ambient light sensor array and an iris scanning component within the screen's front-facing camera module; The following functional layers are compositely arranged between the substrate and the touch layer: A digital temperature sensing layer, wherein multiple digital temperature sensors are distributed in a grid pattern in the effective touch area of ​​the screen to obtain real-time temperature distribution data of the screen and under-screen. The deployment of the multiple digital temperature sensors includes a first area, a second area, and a third area. The first area includes the area corresponding to the processor, battery, and wireless charging module. The second area includes the area corresponding to the 5G communication module, camera module, and screen driver IC. The third area includes other areas except the first and second areas. The distribution density of digital temperature sensors in each area follows the order of first area < second area < third area. An under-screen biometric module, including a millimeter-wave radar array and a capacitive biometric sensor; The smart display screen includes the following working steps: A scenario judgment matrix is ​​established through collaborative analysis of the following parameters to perform composite scenario judgment: Capture, identify and locate the face area through the camera;‌ The user's pupil focusing frequency and gaze direction parameters obtained by the iris scanning component; Ear contact characteristics and clothing material dielectric constant detected by the under-screen biometric module; The frequency of sudden changes in ambient light intensity and the distribution of ultraviolet spectrum detected by the multispectral ambient light sensor; Temperature gradient distribution characteristics collected by the digital temperature sensing layer; Differentiated operations are performed based on the output of the scene judgment matrix, and the mobile smart terminal performs dynamic response control; The scene judgment matrix includes the following working steps: After capturing, identifying and locating the face area through the camera; Primary gaze determination: The user's pupil focusing frequency and gaze direction vector are acquired in real time through the iris scanning component; Detecting whether the pupil focusing frequency is greater than a threshold frequency and whether the gaze direction vector continues to point to the core display area of ​​the screen for more than a predetermined time; Secondary bio-behavioral verification: The multispectral ambient light sensor analyzes the fluctuation characteristics of ambient light intensity and detects whether the fluctuation of the intensity of the light reflected from the screen surface changes synchronously with the user's blinking frequency. Differentiated operations are performed through primary gaze determination and secondary biological behavior verification output, and the mobile smart terminal performs dynamic response control; The dynamic response control of the mobile intelligent terminal includes the following working steps: S100: When the pupil focusing frequency is greater than a threshold frequency and the gaze direction vector continues to point to the core display area of ​​the screen for longer than a predetermined time, the intensity fluctuation of the light reflected from the screen surface changes synchronously with the user's blinking frequency; S110: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first temperature threshold T1, a semi-transparent thermal map is generated at a position corresponding to area Z1 on the display screen. The color depth of the semi-transparent thermal map is positively correlated with the temperature value of area Z1. Within a subsequent first time range t‌1, when the temperature change of area Z1 is less than the first temperature change interval ΔT1, the semi-transparent thermal map gradually fades and disappears, and a semi-transparent text or image prompt is generated on the display screen to guide the user to perform a third-level safety operation. S120: Within the next first time range t‌1, when the temperature change in any area is greater than the first temperature change interval ΔT1 and exceeds the second temperature threshold T2, the mobile smart terminal generates a red pulse warning box at the edge of the screen, identifies whether there is charging activity in the current scene, triggers a step-by-step reduction of the charging current, and generates a text or image prompt on the display screen to guide the user to perform a secondary safety operation; S130: Record step S110 as active use state one, and record step S120 as active use state two.

2. The multi-level security control method for a smart display screen according to claim 1, characterized in that: The dynamic response control of the mobile intelligent terminal includes the following working steps: S200: when the pupil focusing frequency is less than the threshold frequency and the gaze direction vector continues to point to the core display area of ​​the screen for longer than a predetermined time, the fluctuation of the intensity of the light reflected from the screen surface does not change synchronously with the blinking frequency of the user; S210: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first temperature threshold T1, the mobile smart terminal generates vibration feedback with a gradually increasing frequency. Within a subsequent first time range t‌1, when the temperature change in area Z1 is less than the first temperature change interval ΔT1, the mobile smart terminal generates vibration feedback with a gradually decreasing frequency and generates a text or image prompt on the display screen to guide the user to perform a third-level safety operation. When the temperature of the area Z1 returns to less than the first temperature threshold T1, the mobile smart terminal stops vibrating feedback; S220: Record step S210 as inactive use state 1; S300: when the pupil focusing frequency is less than the threshold frequency and the gaze direction vector continues to point to the core display area of ​​the screen for longer than a predetermined time, the fluctuation of the intensity of the light reflected from the screen surface does not change synchronously with the blinking frequency of the user; S310: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first temperature threshold T1, the mobile smart terminal generates vibration feedback with gradually increasing frequency. Within the following first time range t‌1, when the temperature change in any area Z1 is greater than the first temperature change interval ΔT1 and exceeds a second temperature threshold T2, the mobile smart terminal generates continuous high-intensity vibration feedback and generates a red pulse warning box at the edge of the screen. The pulse frequency is positively correlated with the temperature rise rate. At the same time, three random high-temperature warning unlock prompts are generated in the corresponding sliding directions at the corresponding position of area Z1 to guide the user to actively slide to unlock. At the same time, it identifies whether there is charging behavior in the current scene and triggers a step-by-step attenuation mechanism for the charging current. S320: Within the next second time range t2, the user actively slides to unlock, the vibration feedback and the red pulse warning box are turned off, and a text or picture prompt is generated on the display screen to guide the user to perform the secondary security operation; If the user does not actively slide to unlock within the next second time range t2, a voice announcement is generated and a text or picture prompt is generated on the display screen to guide the user to perform the first-level security operation; At the same time, encrypted vibration code instructions are sent to the smart bracelet through the Internet of Things protocol to trigger the gradually increasing vibration mode; S330: When generating the voice announcement, the mobile smart terminal checks whether an earphone is currently connected. If the earphone is not connected, the voice announcement is performed through the external speaker; When headphones are connected, the voice announcement is first played through the headphones. Within the third time range t3, if the user does not actively slide to unlock, the audio output is forced to switch to the external speaker for voice announcement, and the voice announcement command is sent to the smart speaker through the Internet of Things protocol. S340: Record step S310 as inactive use state 2.

3. The multi-level security control method for a smart display screen according to claim 2, characterized in that: The scene judgment matrix includes the following working steps: After capturing, identifying and locating the side profile of the face through the camera; Primary ear contour determination: The millimeter-wave radar array is used to capture the reflected beam characteristics of the ear contour; During a call, slight ear movements trigger Doppler shifts, and spectrum analysis is used to determine whether it is live contact. Secondary bio-behavioral verification: When the ear touches the screen, the conductivity of the skin causes the capacitance value of the capacitive biometric sensor to jump; The shape of the ear contact area is identified by the capacitive biometric sensor and cross-validated with the point cloud model. Differentiated operations are performed through primary ear contour determination and secondary biological behavior verification output, and the mobile smart terminal performs dynamic response control; The dynamic response control of the mobile intelligent terminal includes the following working steps: S500: When the spectrum analysis determines that the contact is live, the capacitive biometric sensor identifies that the shape of the ear contact area is consistent with the outline of the point cloud model; S510: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first threshold value T1, the mobile smart terminal generates vibration feedback with gradually increasing frequency. Within a subsequent first time range t‌1, when the temperature change in any area is less than a first temperature change ΔT1, the mobile smart terminal generates continuous high-intensity vibration feedback. When the temperature of area Z1 returns to less than the first threshold value T1, the mobile smart terminal stops the vibration feedback. S520: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature change in any area Z1 is greater than the first temperature change interval ΔT1 and exceeds the second temperature threshold T2, the mobile smart terminal generates continuous high-intensity vibration feedback, interrupts the current call after generating a voice announcement in the earpiece, and generates a text or image prompt on the display to guide the user to perform a level 1 safety operation; S530: Within the next second time range t2, when the temperature change in any zone Z1 is greater than the second temperature change interval ΔT2 and exceeds the third temperature threshold T3, the battery management system automatically disconnects the circuit; S540: Record step S310 as call usage state one.

4. The multi-level security control method for a smart display screen according to claim 3, characterized in that: The scene judgment matrix includes the following working steps: The millimeter-wave radar array scans the distance variation characteristics between the device and the human contact surface. When periodic distance fluctuations are detected and the average distance is less than the preset human contact threshold, a preliminary determination of the movement status is triggered. Differentiated operations are executed based on the output of the preliminary determination of the movement status, and the mobile smart terminal performs dynamic response control. The dynamic response control of the mobile intelligent terminal includes the following working steps: S600: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first threshold value T1, the mobile smart terminal generates vibration feedback with gradually increasing frequency. Within a subsequent first time range t‌1, when the temperature change in any area is less than a first temperature change ΔT1, the mobile smart terminal generates vibration feedback with gradually decreasing frequency. When the temperature of area Z1 returns to less than the first threshold value T1, the mobile smart terminal stops the vibration feedback. S610: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature change in any area Z1 is greater than the first temperature change interval ΔT1 and exceeds the second temperature threshold T2, the mobile smart terminal generates continuous high-intensity vibration feedback, broadcasts a voice message through the external speaker, and generates a text or image prompt on the display screen to guide the user to perform a level 1 safety operation; S620: Within the next second time range t2, when the temperature change in any zone Z1 is greater than the second temperature change interval ΔT2 and exceeds the third temperature threshold T3, the battery management system automatically disconnects the circuit; S640: Record step S610 as storage state one, and record step S620 as storage state two.

5. The multi-level security control method for a smart display screen according to claim 4, characterized in that: The scene judgment matrix includes the following working steps: The iris scanning component periodically detects the user's eye status. When the closed eye features are continuously captured and the pupil movement trajectory matches the sleep tremor pattern, the primary sleep determination is triggered. The low-frequency light intensity fluctuation curve of the multispectral ambient light sensor is analyzed simultaneously. When a stable dark light feature that matches the periodic shutdown of the ambient light source is detected, the environmental status verification is completed. The capacitive biometric sensor in the under-display biometric layer scans the contact surface medium characteristics. When the capacitive response spectrum of the fabric fiber and sponge composite material is identified, it confirms that the device is in a pillow-covered scenario. Differentiated operations are performed through primary sleep determination, environmental status verification, and pillow coverage scenarios, and mobile smart terminals perform dynamic response control; The dynamic response control of the mobile intelligent terminal includes the following working steps: S700: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature of any area Z1 is greater than a first threshold value T1, the mobile smart terminal generates a text or picture prompt on the display screen. Within a subsequent first time range t‌1, when the temperature change in any area is less than the first temperature change ΔT1, the mobile smart terminal text or picture prompt gradually fades. When the temperature of area Z1 returns to less than the first threshold value T1, the mobile smart terminal text or picture prompt pops up and is stored in a drop-down bar. S710: Based on the temperature gradient distribution identified by the digital temperature sensing layer, when the temperature change in any area Z1 is greater than the first temperature change interval ΔT1 and exceeds the second temperature threshold T2, the mobile smart terminal generates continuous high-intensity vibration feedback, broadcasts a voice message through the external speaker, and generates a text or image prompt on the display screen to guide the user to perform a first-level safety operation; S720: Within the following second time range t2, when the temperature change in any zone Z1 is greater than the second temperature change interval ΔT2 and exceeds the third temperature threshold T3, a voice broadcast instruction is sent to the smart speaker via the Internet of Things protocol, an encrypted vibration code instruction is sent to the smart bracelet via the Internet of Things protocol, and an abnormal flashing instruction is sent to the home lighting system via the Internet of Things. After the third time range t3 has passed, the battery management system automatically disconnects the circuit; S730: Record step S710 as sleep state one, and record step S720 as sleep state two.

6. The multi-level security control method for a smart display screen according to claim 5, characterized in that: The active use state 1, the inactive use state 1, the storage state 1, and the sleep state 1 are included in the cloud history database, and when the frequency of occurrence of the above states is greater than a threshold value n1, a first notification message is sent to the user; The active use state 2, inactive use state 2, call use state 1, storage state 2 and sleep state 2 are included in the cloud real-time operation record database. When the frequency of occurrence of the above states is greater than the threshold n2, a second notification message is sent to the user, and usage reference and maintenance reference opinions are provided to the user based on the real-time operation record database.

Images