Intelligent device standby control method and apparatus, electronic device, and storage medium

Abstract

The application provides a standby control method and device of an intelligent device, an electronic device and a storage medium. The method comprises: in response to a received standby instruction, obtaining current time and current ambient brightness information; controlling the intelligent device to enter an AI standby mode; in the AI standby mode, determining whether the current time falls within a preset rest period; when the current time falls within the preset rest period, comparing the current ambient brightness information with a preset brightness threshold; and when the current ambient brightness information is less than the preset brightness threshold, controlling the intelligent device to switch from the AI standby mode to a deep standby mode, wherein the far-field voice function is disabled in the deep standby mode. Thus, the application can accurately identify a scenario in which the user has turned off the light and rests and has a small potential use demand, and actively disable the far-field voice function, thereby fundamentally eliminating the possibility of voice function false wake-up in the scenario.

Description

Technical Field

[0001] This application relates to the field of smart home technology, and in particular to a standby control method, device, electronic device and storage medium for a smart device. Background Technology

[0002] As the center of home entertainment, televisions are becoming increasingly feature-rich. Currently, more and more televisions support far-field voice control, allowing users to operate the TV simply by voice without a remote, greatly enhancing the convenience of human-computer interaction. To ensure responsiveness to user voice commands even in standby mode, some televisions offer an Artificial Intelligence (AI) standby mode—in this mode, the television system remains running, the far-field voice function is activated, and users can wake the TV and perform corresponding operations using a preset wake-up word.

[0003] In existing technology, when a user sends a standby command via remote control, the TV enters AI standby mode. In AI standby mode, the TV's voice recognition module (such as a microphone) continues to work, the main control module maintains its ability to receive and analyze voice signals, and the far-field voice function remains active to respond to voice wake-up at any time, until the TV receives a power-on command or the system restarts.

[0004] However, in the aforementioned existing technical solutions, the far-field voice function remains active in AI standby mode, with the microphone continuously collecting ambient sounds and performing voice analysis, which can easily lead to false wake-up due to environmental noise and other factors. Summary of the Invention

[0005] This application provides a standby control method, device, electronic device, and storage medium for smart devices to solve the problem in the prior art where, in AI standby mode, the far-field voice function remains active, the microphone continuously collects ambient sound and performs voice analysis, and is prone to false wake-up due to environmental noise and other factors.

[0006] Firstly, this application provides a standby control method for a smart device, comprising: In response to the received standby command, obtain the current time and current ambient brightness information; Control smart devices to enter AI standby mode; In the AI ​​standby mode, it is determined whether the current time falls within a preset rest period; When the current time falls within the preset rest period, the current ambient brightness information is compared with a preset brightness threshold. When the current ambient brightness information is less than the preset brightness threshold, the smart device is controlled to switch from the AI ​​standby mode to the deep standby mode, wherein the far-field voice function is disabled in the deep standby mode.

[0007] In one possible implementation, before acquiring the current time and current ambient brightness information, the method further includes: Detect whether the smart device is connected to the network; When the smart device is not connected to the network, control the smart device to directly enter the deep standby mode; When the smart device is connected to the network, the step of obtaining the current time and current ambient brightness information is performed.

[0008] In one possible implementation, after controlling the smart device to directly enter the deep standby mode, the method further includes: In the deep standby mode, it is detected whether the smart device has reconnected to the network; When the smart device reconnects to the network, the smart device is controlled to switch from the deep standby mode to the AI ​​standby mode.

[0009] In one possible implementation, the method further includes: If the current time does not fall within the preset rest period, check whether an exit command has been received; When the exit command is received, the smart device is controlled to switch from the AI ​​standby mode to the power-on state; If the exit instruction is not received, the AI ​​standby mode is maintained, and the process returns to the step of determining whether the current time falls within the preset rest period.

[0010] In one possible implementation, after controlling the smart device to switch from the AI ​​standby mode to the deep standby mode, the method further includes: In the deep standby mode, it monitors whether a non-voice wake-up command is received; When the non-voice wake-up command is received, the smart device is controlled to switch from the deep standby mode to the power-on state.

[0011] In one possible implementation, the method further includes: The light signal of the current environment of the smart device is collected by a light sensing module, which is an existing hardware module on the smart device. The current ambient brightness information is generated based on the optical signal.

[0012] In one possible implementation, generating the current ambient brightness information based on the optical signal includes: Based on the optical signal, a brightness value and a color temperature value are generated; The brightness value is compensated and corrected based on the color temperature value to obtain the corrected brightness value, and the corrected brightness value is used as the current ambient brightness information.

[0013] Secondly, this application provides a standby control device for a smart device, comprising: The acquisition module is used to acquire the current time and current ambient brightness information in response to the received standby command; The first control module is used to control smart devices to enter AI standby mode; The judgment module is used to determine whether the current time falls within a preset rest period in the AI ​​standby mode; The comparison module is used to compare the current ambient brightness information with a preset brightness threshold when the current time falls within the preset rest period. The second control module is used to control the smart device to switch from the AI ​​standby mode to the deep standby mode when the current ambient brightness information is less than the preset brightness threshold, wherein the far-field voice function is disabled in the deep standby mode.

[0014] In one possible implementation, the device further includes a third control module for: Detect whether the smart device is connected to the network; When the smart device is not connected to the network, control the smart device to directly enter the deep standby mode; When the smart device is connected to the network, the step of obtaining the current time and current ambient brightness information is performed.

[0015] In one possible implementation, the device further includes a fourth control module for: In the deep standby mode, it is detected whether the smart device has reconnected to the network; When the smart device reconnects to the network, the smart device is controlled to switch from the deep standby mode to the AI ​​standby mode.

[0016] In one possible implementation, the device further includes a fifth control module for: If the current time does not fall within the preset rest period, check whether an exit command has been received; When the exit command is received, the smart device is controlled to switch from the AI ​​standby mode to the power-on state; If the exit instruction is not received, the AI ​​standby mode is maintained, and the process returns to the step of determining whether the current time falls within the preset rest period.

[0017] In one possible implementation, the device further includes a sixth control module for: In the deep standby mode, it monitors whether a non-voice wake-up command is received; When the non-voice wake-up command is received, the smart device is controlled to switch from the deep standby mode to the power-on state.

[0018] In one possible implementation, the apparatus further includes a generation module for: The light signal of the current environment of the smart device is collected by a light sensing module, which is an existing hardware module on the smart device. The current ambient brightness information is generated based on the optical signal.

[0019] In one possible implementation, the generation module is further configured to: Based on the optical signal, a brightness value and a color temperature value are generated; The brightness value is compensated and corrected based on the color temperature value to obtain the corrected brightness value, and the corrected brightness value is used as the current ambient brightness information.

[0020] Thirdly, this application provides an electronic device, including: a processor and a memory, wherein the processor is configured to execute a standby control program for an intelligent device stored in the memory, so as to implement the standby control method for the intelligent device described in any one of the first aspects.

[0021] Fourthly, this application provides a storage medium storing one or more programs that can be executed by one or more processors to implement the standby control method of the smart device described in any one aspect.

[0022] Fifthly, this application provides a computer program product containing instructions that, when run on a computer, causes the computer to execute any of the standby control methods for intelligent devices described above.

[0023] Compared with the prior art, the above-mentioned technical solution provided in this application embodiment has the following advantages: The method provided in this application embodiment obtains the current time and current ambient brightness information and enters AI standby mode after receiving the standby command. In AI standby mode, it first determines whether the current time falls within a preset rest period. Only when it falls within a rest period is the ambient brightness information further compared with a preset brightness threshold. Only when the ambient brightness is lower than the threshold is it determined that the user has turned off the lights and is resting, and the potential usage demand is small. At this time, the smart device is controlled to switch from AI standby mode to deep standby mode to disable the far-field voice function. This solution employs a dual-condition screening based on time and ambient brightness. Deep standby is only triggered when both conditions are met simultaneously: "being in a rest period" and "ambient brightness below a threshold." This avoids prematurely disabling the voice function during times when the user might use the TV (e.g., during the day or evening when not resting), thus preventing disruption to normal use. It also avoids misjudgments and frequent mode switching during rest periods due to ambient brightness fluctuations (e.g., brief nighttime activity with lights on) based solely on brightness. Furthermore, since the current time and ambient brightness information are acquired upon receiving the standby command, subsequent judgment processes do not require repeated data collection, reducing system overhead and response latency. Therefore, this application can accurately identify scenarios where the user is resting with lights off and potential usage needs are low, proactively disabling the far-field voice function. This fundamentally eliminates the possibility of accidental voice function wake-up in such scenarios, effectively solving the problem in existing technologies where the far-field voice function remains active in AI standby mode, leading to accidental wake-ups during rest periods and impacting user experience. Simultaneously, it ensures the normal availability of the voice function during non-rest periods or in scenarios where lights are on. Attached Figure Description

[0024] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0025] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0027] Figure 1 A flowchart illustrating an embodiment of a standby control method for a smart device provided in this application; Figure 2 A flowchart illustrating an embodiment of another standby control method for a smart device provided in this application; Figure 3 A flowchart illustrating an embodiment of a standby control method for a smart device provided in this application; Figure 4 A structural block diagram of a smart device provided in an embodiment of this application; Figure 5 This is a schematic diagram of the overall process of a standby control method for a smart device provided in an embodiment of this application; Figure 6 A block diagram illustrating an embodiment of a standby control device for a smart device provided in this application. Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0029] The following disclosure provides numerous different embodiments or examples for implementing various structures of this application. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the scope of this application. Furthermore, reference numerals and / or letters may be repeated in different examples. Such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed.

[0030] To address the technical problem in existing technologies where the far-field voice function remains active in AI standby mode, with the microphone continuously collecting ambient sound and performing voice analysis, easily leading to false wake-ups due to environmental noise and other factors, this application provides a standby control method for smart devices. This method can accurately identify scenarios where the user has turned off the lights and is resting with minimal potential usage needs, and proactively disable the far-field voice function. This fundamentally eliminates the possibility of false wake-ups of the voice function in such scenarios, effectively solving the problem of the far-field voice function remaining active in AI standby mode, causing false wake-ups during rest periods and affecting the user experience. At the same time, it ensures the normal availability of the voice function in non-rest periods or scenarios where the lights are not off.

[0031] Figure 1This is a flowchart illustrating an embodiment of a standby control method for a smart device provided in this application. Figure 1 As shown, the method includes the following steps: S101. In response to the received standby command, obtain the current time and current ambient brightness information.

[0032] Standby command: refers to the control command issued by the user to instruct the smart device to enter the standby state from the power-on state.

[0033] Current time: refers to the system time read by the main control module of the smart device through the internal clock or system clock when it receives the standby command, or the current time obtained through the network.

[0034] Current ambient brightness information: refers to the brightness level of the environment in which the smart device is used at the current moment, which is used to determine whether the user has turned off the lights and is resting.

[0035] In this embodiment, when a user needs to put a smart device (such as a television) into standby mode, they can issue a standby command in various ways, such as pressing the standby button on a remote control, pressing a physical standby button on the smart device, issuing a standby control voice command, or automatically triggering the standby mode via a timed standby function. The main control module of the smart device monitors the source of the standby command in real time. Upon receiving the standby command, it initiates the standby control process. In one embodiment of this application, taking the user issuing a standby command via a remote control as an example, the user presses the standby button on the remote control, the remote control sends a standby signal to the smart device, and the main control module initiates the standby control process upon receiving the signal.

[0036] Upon receiving a standby command, the main control module immediately reads the system clock to obtain the current time information and stores it in the storage unit for later use in subsequent decision-making steps, thus recording the accurate timestamp when the device entered standby mode. Simultaneously, the main control module controls the light sensor module to collect the ambient light signal. In one embodiment, the light sensor module is mounted on the smart device, facing forward to sense the brightness of the surrounding environment. The light sensor module generates current ambient brightness information based on the collected light signal and transmits this information to the main control module, which then stores it in the storage unit. By acquiring the current time and ambient brightness information upon receiving the standby command, the timestamp and environmental state when the device entered standby mode can be recorded as the basis for subsequent decision-making. This eliminates the need for repeated data collection during subsequent decision-making processes, reducing system overhead and response latency.

[0037] S102. Control the smart device to enter AI standby mode.

[0038] AI (Artificial Intelligence) Standby Mode: This refers to a standby mode in which the system continues to run and the far-field voice function is activated while the smart device is in standby mode. In this mode, the main control module continues to run, the voice recognition module (such as a microphone) continuously collects ambient sound, and the far-field voice function is activated. Users can wake up the device and perform corresponding operations by using a preset wake word.

[0039] In this embodiment, after acquiring the current time and ambient brightness information, the main control module controls the smart device to switch from the power-on state to AI standby mode. Upon entering AI standby mode, the smart device's display module is turned off to reduce power consumption, but the main control module still maintains its ability to receive and parse the voice signals input by the voice recognition module. Simultaneously, the network module maintains a connection with the WLAN (Wireless Local Area Network) so that the main control module can perform semantic parsing on the voice statements input by the voice recognition module, enabling far-field voice interaction. In this mode, the voice recognition module continuously collects ambient sound signals and transmits them to the main control module. The main control module performs semantic parsing and command processing on the received voice signals to determine whether a valid wake-up command or control command exists.

[0040] S103. In the AI ​​standby mode, determine whether the current time falls within a preset rest period.

[0041] Preset rest periods: These refer to the time intervals that are typically in a resting state, either by default or user-defined settings.

[0042] In this embodiment, the smart device is factory-set with a default public rest period, such as 22:00 to 06:00 the next day. In one implementation, users can also customize this period according to their own habits through the device's settings interface. After the smart device enters AI standby mode, the main control module reads the current time obtained in S101 from the storage unit, and simultaneously reads the start and end times of the preset rest period stored in the storage unit. The current time is compared with the start and end times of the preset rest period to determine whether the current time falls within the time interval of the preset rest period. If the current time falls within the preset rest period, it means that the user is currently in a rest period, and the user's potential need to use the smart device is low. The main control module proceeds to the next step to further combine ambient brightness information for a secondary determination. If the current time does not fall within the preset rest period, it means that the user is still in a normal activity period, and the user's potential need to use the smart device is high. The AI ​​standby mode should be maintained to keep the far-field voice function available.

[0043] S104. When the current time falls within the preset rest period, the current ambient brightness information is compared with the preset brightness threshold.

[0044] Preset brightness threshold: refers to the upper limit of ambient brightness preset by the system to characterize the state when the lights are off.

[0045] In this embodiment, the main control module reads the current ambient brightness information acquired in step S101 from the storage unit, and simultaneously reads the preset brightness threshold stored in the storage unit. This preset brightness threshold can be pre-set by the system, for example, set to 80 lux. In one implementation, the user can also customize the threshold according to the actual usage environment through the device's settings interface. The main control module compares the current ambient brightness information with the preset brightness threshold to determine if the current ambient brightness information is less than the preset brightness threshold. If the current ambient brightness information is less than the preset brightness threshold, it indicates that the user's home is already dark, the user is resting, and the potential need to use smart devices is minimal. The main control module proceeds to the next step to switch to deep standby mode. If the current ambient brightness information is greater than or equal to the preset brightness threshold, it indicates that although it is currently a rest period, there is still some brightness in the user's home. The user may not have turned off the lights to rest or may have temporarily turned them on for activities. In this case, the user may still have usage needs, and the AI ​​standby mode should be maintained, preserving the far-field voice function.

[0046] S105. When the current ambient brightness information is less than the preset brightness threshold, control the smart device to switch from the AI ​​standby mode to the deep standby mode, wherein the far-field voice function is disabled in the deep standby mode.

[0047] Deep standby mode: This refers to a standby mode with lower power consumption compared to AI standby mode. In this mode, far-field voice function is disabled.

[0048] In this embodiment, when S104 determines that the current ambient brightness is less than a preset brightness threshold, the main control module determines that both the "rest period" and "lights off" conditions are met simultaneously. At this time, the user's potential need to use the smart device is minimal, and the main control module controls the smart device to switch from AI standby mode to deep standby mode. In deep standby mode, the main control module sends a control signal to the power supply module, which then stops supplying power to the voice recognition module and semantic parsing module, thus completely disabling the far-field voice function. In this mode, the smart device no longer responds to any voice wake-up commands to avoid accidental triggering of the voice function due to environmental noise or other factors during the user's rest period, which could cause the TV to suddenly turn on or emit sound and disturb the user's rest. In this mode, the smart device only responds to non-voice wake-up commands. The user can wake up the device through various non-voice methods, such as sending a wake-up signal via the remote control or pressing a physical button on the smart device. When the user needs to use the smart device again, they can send a wake-up command through the aforementioned non-voice methods. After receiving the non-voice wake-up command, the main control module controls the smart device to switch from deep standby mode to the power-on state, resuming normal use.

[0049] The technical solution provided in this application acquires the current time and ambient brightness information upon receiving a standby command and enters AI standby mode. In AI standby mode, it first determines whether the current time falls within a preset rest period. Only when it falls within a rest period is the ambient brightness information compared with a preset brightness threshold. Only when the ambient brightness is below the threshold is it determined that the user has turned off the lights and is resting, indicating low potential usage demand. At this point, the smart device is controlled to switch from AI standby mode to deep standby mode to disable the far-field voice function. This solution uses a dual-condition screening based on time and ambient brightness to trigger deep standby only when both conditions of "being in a rest period" and "ambient brightness below the threshold" are met simultaneously. This avoids prematurely disabling the voice function during times when the user might use the TV (such as during the day or at night when not resting), thus affecting normal use. It also avoids misjudgment and frequent mode switching due to ambient brightness fluctuations (such as brief nighttime activity with lights on) during rest periods based solely on brightness. Furthermore, since the current time and ambient brightness information are acquired upon receiving the standby command, subsequent judgment processes do not require repeated acquisition, reducing system overhead and response latency. Therefore, this application can accurately identify scenarios where users have turned off the lights and are resting and have low potential usage needs, and actively disable the far-field voice function, fundamentally eliminating the possibility of false wake-up of the voice function in such scenarios. It effectively solves the problem in the existing technology where the far-field voice function is always activated in the AI ​​standby mode, causing false wake-up during rest periods and affecting the user experience, while ensuring the normal availability of the voice function in non-rest periods or scenarios where the lights are not turned off.

[0050] Figure 2A flowchart illustrating an embodiment of another standby control method for a smart device provided in this application. Figure 2 The process shown is in Figure 1 Based on the illustrated process, the following steps are included: S201. Detect whether the smart device is connected to the network; S202. When the smart device is not connected to the network, control the smart device to directly enter the deep standby mode; S203. When the smart device is connected to the network, the step of obtaining the current time and current ambient brightness information is executed.

[0051] For ease of understanding, the following provides a unified explanation of S201-203: Network: refers to WLAN (Wireless Local Area Network), through which smart devices access the network to enable data interaction with external servers.

[0052] In this embodiment, after receiving a standby command and before executing the step of obtaining the current time and ambient brightness information, the smart device first checks whether the network module has successfully connected to the wireless local area network through the main control module. In one implementation, the main control module can obtain the current connection status information of the network module by sending a status query command to the network module to determine whether the smart device has successfully accessed the network. If it is determined that the smart device is not connected to the network, it means that the smart device cannot currently interact with the external server. At this time, even if it enters the AI ​​standby mode, the voice signal collected by the voice recognition module cannot be transmitted to the external server for semantic parsing, and the far-field voice function is actually unusable. Therefore, the main control module controls the smart device to directly enter the deep standby mode to reduce power consumption. In the deep standby mode, the far-field voice function is disabled to avoid the user mistakenly believing that the voice function is available when it is actually unresponsive. If it is determined that the smart device is connected to the network, it means that the smart device has the normal conditions for using the far-field voice function. At this time, the step of obtaining the current time and ambient brightness information is executed, and the AI ​​standby mode is entered according to the subsequent process.

[0053] This solution pre-checks the network connection status before entering AI standby mode, allowing the device to switch to deep standby mode in advance when the network is unavailable. This avoids the problem of the voice function being unusable but still maintaining high power consumption after the device enters AI standby mode due to network unavailability, while also simplifying subsequent processes.

[0054] In one embodiment, after S202, the following steps may be included: in the deep standby mode, detecting whether the smart device has reconnected to the network; when the smart device reconnects to the network, controlling the smart device to switch from the deep standby mode to the AI ​​standby mode.

[0055] In this embodiment, after the smart device enters deep standby mode due to network disconnection, the main control module does not maintain deep standby indefinitely. Instead, it continues to periodically or in real-time monitor the network connection status to detect whether the smart device has reconnected to the network. In one implementation, the main control module can send a status query command to the network module at preset time intervals (e.g., every 30 seconds or every minute) to obtain the current connection status information of the network module and determine whether the smart device has successfully accessed the network. If it is determined that the smart device is still not connected to the network, the deep standby mode is maintained, and the network connection status is continuously monitored at preset time intervals. When the main control module detects that the smart device has reconnected to the network, it determines that the current network connection has returned to normal, and the far-field voice function is ready for normal use. At this time, the main control module controls the smart device to switch from deep standby mode to AI standby mode. After switching to AI standby mode, the voice recognition module is powered back on, the far-field voice function is reactivated, and the network module maintains its connection with the wireless LAN to support the main control module in performing semantic parsing of the voice statements input by the voice recognition module. The user can wake up the device and perform corresponding operations using a preset wake-up word.

[0056] This solution continuously monitors network connectivity in deep standby mode and automatically switches back to AI standby mode when the network recovers. This enables smart devices to automatically restore far-field voice functionality when the network recovers after entering deep standby due to network anomalies, without requiring manual user intervention. This enhances the intelligence and ease of use of the devices.

[0057] In one embodiment, the method may further include the following steps: when the current time does not fall within the preset rest period, detecting whether an exit instruction has been received; when the exit instruction is received, controlling the smart device to switch from the AI ​​standby mode to the power-on state; when the exit instruction is not received, maintaining the AI ​​standby mode and returning to the step of determining whether the current time falls within the preset rest period.

[0058] Exit command: refers to the control command issued by the user to instruct the smart device to exit the AI ​​standby mode and switch to the power-on state.

[0059] In this embodiment, when the main control module determines that the current time does not fall within a preset rest period in AI standby mode, it indicates that the user is currently in a normal activity period. At this time, the user's potential need to use the smart device is high, and the AI ​​standby mode should be maintained to ensure the availability of the far-field voice function. In this state, the main control module further detects whether it has received an exit command from the user. In one implementation, the user can issue an exit command in various ways, such as pressing the power button on the remote control, pressing a physical button on the smart device, or issuing a voice command to control power on. The main control module monitors the signals from each of these input sources in real time. If the main control module detects that the user has issued an exit command, it responds to the exit command by controlling the smart device to switch from AI standby mode to power-on state, restoring power to the display module and normal operation to meet the user's normal usage needs. If the main control module does not detect the user's exit command, it means that the user does not actually need to use the device. At this time, the main control module maintains the AI ​​standby mode and returns to the execution step S103, that is, to re-determine whether the current time falls within the preset rest period. This process is repeated in a loop, which not only maintains the availability of the voice function at any time during non-rest periods, but also triggers the ambient brightness judgment and deep standby switching process in a timely manner after the time progresses into the rest period, so as to automatically disable the far-field voice function after the user actually rests to prevent accidental wake-up.

[0060] This solution, through the aforementioned cyclic monitoring mechanism, enables automatic monitoring of the device when the user is not operating it during non-rest periods, and automatic transition to the rest period determination process when the time conditions are met, without requiring manual intervention from the user. This ensures both the immediate response of the voice function during the user's normal activity period and the timely triggering of the deep standby determination process after entering the rest period.

[0061] In another embodiment, after S105, the following steps may be included: in the deep standby mode, monitoring whether a non-voice wake-up command is received; when the non-voice wake-up command is received, controlling the smart device to switch from the deep standby mode to the power-on state.

[0062] Non-voice wake-up commands: These are wake-up commands that are triggered by non-voice means, distinct from far-field voice wake-up commands, and are used to instruct smart devices to switch from deep standby mode to power-on state.

[0063] In this embodiment, after the smart device switches from AI standby mode to deep standby mode due to simultaneously meeting the conditions of "being in a rest period" and "ambient brightness being lower than a preset brightness threshold," the far-field voice function is disabled, the voice recognition module is de-energized, and the device no longer responds to any voice wake-up commands. At this time, if the user needs to use the smart device again, they must issue a wake-up command via a non-voice method. The main control module maintains its monitoring capability for non-voice wake-up commands in deep standby mode. In one implementation, the user can issue wake-up commands via various non-voice methods, such as pressing the power button on the remote control or pressing a physical button on the smart device. When the user issues a non-voice wake-up command via the above methods, the main control module receives the command and recognizes it as a valid wake-up command, then controls the smart device to switch from deep standby mode to the power-on state, restoring power to the display module and normal operation to respond to the user's needs. If the main control module does not receive a non-voice wake-up command, it continues to maintain deep standby mode until the user actively wakes up the device or system via a non-voice method to re-enter AI standby mode (e.g., in a network recovery scenario).

[0064] This solution retains the ability to respond to non-voice wake-up commands in deep standby mode. This not only completely eliminates the possibility of accidental voice wake-up during user rest periods by disabling far-field voice function, ensuring the quality of user rest, but also ensures that users can wake up the device normally using non-voice methods such as remote control or physical buttons when needed, without affecting the normal availability of the device.

[0065] Figure 3 A flowchart illustrating an embodiment of a standby control method for a smart device provided in this application. Figure 3 The process shown is in Figure 1 Based on the illustrated process, the following steps are included: S301. Acquire the light signal of the current environment of the smart device through the light sensing module, wherein the light sensing module is an existing hardware module on the smart device; S302. Generate the current ambient brightness information based on the light signal.

[0066] For ease of understanding, the following provides a unified explanation of S301-302: A light-sensing module is a sensor module installed on a smart device to sense the intensity of ambient light and output a corresponding electrical signal. In one embodiment, the light-sensing module can be located on the edge of the smart device or around the screen, with its photosensitive surface facing the front of the device, to sense the brightness of the environment in which the device is used.

[0067] Optical signal: refers to the physical quantity signal that the optical sensing module senses and characterizes the intensity of ambient light.

[0068] In this embodiment, when it is necessary to obtain current ambient brightness information, the main control module controls the light sensor module to start the acquisition operation. The photosensitive element of the light sensor module receives light from the environment where the device is located and converts the intensity of the light into an electrical signal, which is the light signal. In one embodiment, the light sensor module may include an analog-to-digital converter circuit to convert the analog light signal into a digital brightness value, thereby generating current ambient brightness information. The light sensor module transmits the generated current ambient brightness information to the main control module, so that the main control module can compare the current ambient brightness information with a preset brightness threshold to determine whether the user has turned off the lights and is resting.

[0069] The above method of collecting ambient light signals and generating brightness information through a light-sensing module utilizes the existing light-sensing hardware resources on smart devices, without the need for additional sensors. The method is simple and reliable, and can accurately reflect the actual brightness of the user's current environment, providing an accurate basis for determining whether to switch to deep standby mode.

[0070] In another embodiment, S302 may further include the following steps: generating a brightness value and a color temperature value based on the light signal; compensating and correcting the brightness value based on the color temperature value to obtain a corrected brightness value, and using the corrected brightness value as the current ambient brightness information.

[0071] Brightness value: refers to a quantitative value that characterizes the brightness of ambient light.

[0072] Color temperature value: refers to the quantitative value that characterizes the spectral composition of ambient light. It is used to describe the color characteristics of a light source. Different light sources (such as warm light and cool light) have different color temperature values.

[0073] Compensation correction refers to the process of correcting the brightness value based on the differences in brightness response of the light-sensing module under different color temperatures. Under illumination from light sources of different color temperatures (such as warm yellow light and cool white light), the photosensitive elements in the light-sensing module exhibit varying sensitivities to different spectra. This means that under the same actual brightness, the original brightness output values ​​corresponding to warm and cool light sources may differ. Directly comparing this original output value as the current ambient brightness information with a preset brightness threshold may lead to inaccurate judgment results (e.g., in a warm light environment, the original brightness value may be too high even when the light is actually off, or too low even when the light is actually on). Compensation correction corrects the original brightness value using the color temperature value to eliminate the influence of different color temperature light sources on the accuracy of brightness detection.

[0074] In this embodiment, after the light sensing module collects the light signal of the current environment, the light sensing module or the main control module generates a brightness value and a color temperature value based on the light signal. Specifically, the light sensing module may contain multiple photosensitive elements with different spectral response characteristics, or an integrated ambient light sensor capable of simultaneously sensing light intensity and spectral distribution, to achieve synchronous output of brightness and color temperature values. After acquiring the brightness and color temperature values, the main control module reads pre-stored correction parameters, determines the compensation coefficient corresponding to the current light source type based on the color temperature value, and uses this compensation coefficient to compensate and correct the brightness value to eliminate the influence of different color temperature light sources on the accuracy of brightness detection, obtaining a corrected brightness value. This corrected brightness value is then used as the current ambient brightness information for subsequent comparison with a preset brightness threshold. In one specific implementation, compensation correction is achieved as follows: The light-sensing module is pre-calibrated under various standard light sources with different color temperatures. The correspondence between the luminance measurement values ​​output by the light-sensing module and the standard illuminance meter measurements at each color temperature is recorded. A correction parameter table is generated and stored in a storage unit. This table records the mapping relationship between color temperature values ​​and correction coefficients, where the correction coefficients are used to map the luminance measurement values ​​corresponding to the color temperature to the standard illuminance values. The main control module queries the correction parameter table based on the current color temperature value, reads the corresponding correction coefficient, and multiplies the current luminance value by the correction coefficient to obtain the corrected luminance value. In another implementation, compensation correction can also be achieved as follows: A functional relationship between color temperature values ​​and correction coefficients is pre-fitted using experimental data. The main control module substitutes the current color temperature value into the functional relationship to calculate the corresponding correction coefficient, and then uses the correction coefficient to correct the luminance value.

[0075] This solution compensates for and corrects brightness values ​​by incorporating color temperature values ​​during the brightness information generation process. This eliminates the impact of different color temperature light sources on the accuracy of brightness detection by the light sensor module, ensuring that the final ambient brightness information used for brightness threshold comparison more accurately reflects the actual state of whether the user has turned off the lights. It avoids the accuracy of deep standby switching decisions being affected by brightness detection values ​​deviating from the true value due to differences in light source color temperature. Furthermore, this solution fully utilizes the color temperature detection capability of the light sensor module, eliminating the need for additional hardware and improving accuracy without increasing hardware costs.

[0076] To facilitate understanding of the technical solution of this application, the following will be combined with Figure 4 and Figure 5 The standby control method for smart devices provided in the embodiments of this application will be described in general.

[0077] Figure 4 This is a structural block diagram of a smart device provided in an embodiment of this application. Figure 4As shown, the intelligent device includes a power supply module, a main control module, a storage unit, a voice recognition module, a light sensor module, and a network module. The power supply module supplies power to all modules; the main control module receives voice signals from the voice recognition module, performs semantic analysis and command processing, controls the light sensor module to acquire ambient light intensity, color temperature, and other information, processes the returned values, and interacts with an external server via the network module; the storage unit stores the programs and data required for system operation; the voice recognition module receives external voice signals and transmits them to the main control module; the light sensor module acquires ambient light intensity, color temperature, and other information and transmits it to the main control module; and the network module connects to a wireless local area network.

[0078] Figure 5 This is a schematic diagram illustrating the overall process of a standby control method for a smart device provided in an embodiment of this application. Figure 5 As shown, after receiving the standby signal from the remote control, the main control module first checks whether the smart device is connected to the network. If not connected, it controls the smart device to directly enter deep standby mode; if connected, it obtains the current time and ambient brightness information and stores it in the storage unit, then controls the smart device to enter AI standby mode. After entering AI standby mode, the main control module determines whether the current time falls within a preset rest period: if not, it checks whether the user has exited AI standby mode; if exited, it switches to the power-on state; if not exited, it maintains AI standby mode and returns to re-determine the current time; if it falls within the rest period, it compares the current ambient brightness information with a preset brightness threshold; if greater than or equal to the preset brightness threshold, it maintains AI standby mode and returns to re-determine the current time; if less than the preset brightness threshold, it controls the smart device to switch from AI standby mode to deep standby mode to disable far-field voice function and avoid accidental voice wake-up affecting the user's rest.

[0079] This application employs a dual-condition screening based on time and ambient brightness. Deep standby is triggered only when both "rest period" and "ambient brightness below the threshold" are met simultaneously, thus disabling the far-field voice function. This avoids prematurely disabling the voice function and affecting normal use, while also preventing misjudgments due to ambient brightness fluctuations caused by relying solely on brightness as a single condition. Furthermore, since the current time and ambient brightness information are obtained upon receiving the standby command, subsequent judgment processes do not require repeated data collection, reducing system overhead and response latency. This allows for accurate identification of scenarios where users have turned off the lights and are resting with minimal potential usage needs, effectively solving the problem of the far-field voice function remaining active in AI standby mode, leading to false wake-ups during rest periods and impacting user experience.

[0080] Figure 6 This is a block diagram illustrating an embodiment of a standby control device for a smart device provided in this application. Figure 6 As shown, the device includes: The acquisition module 61 is used to acquire the current time and current ambient brightness information in response to the received standby command; The first control module 62 is used to control the smart device to enter the AI ​​standby mode; The judgment module 63 is used to determine whether the current time falls within a preset rest period in the AI ​​standby mode; Comparison module 64 is used to compare the current ambient brightness information with a preset brightness threshold when the current time falls within the preset rest period. The second control module 65 is used to control the smart device to switch from the AI ​​standby mode to the deep standby mode when the current ambient brightness information is less than the preset brightness threshold, wherein the far-field voice function is disabled in the deep standby mode.

[0081] In one possible implementation, the device further includes a third control module for: Detect whether the smart device is connected to the network; When the smart device is not connected to the network, control the smart device to directly enter the deep standby mode; When the smart device is connected to the network, the step of obtaining the current time and current ambient brightness information is performed.

[0082] In one possible implementation, the device further includes a fourth control module for: In the deep standby mode, it is detected whether the smart device has reconnected to the network; When the smart device reconnects to the network, the smart device is controlled to switch from the deep standby mode to the AI ​​standby mode.

[0083] In one possible implementation, the device further includes a fifth control module for: If the current time does not fall within the preset rest period, check whether an exit command has been received; When the exit command is received, the smart device is controlled to switch from the AI ​​standby mode to the power-on state; If the exit instruction is not received, the AI ​​standby mode is maintained, and the process returns to the step of determining whether the current time falls within the preset rest period.

[0084] In one possible implementation, the device further includes a sixth control module for: In the deep standby mode, it monitors whether a non-voice wake-up command is received; When the non-voice wake-up command is received, the smart device is controlled to switch from the deep standby mode to the power-on state.

[0085] In one possible implementation, the apparatus further includes a generation module for: The light signal of the current environment of the smart device is collected by a light sensing module, which is an existing hardware module on the smart device. The current ambient brightness information is generated based on the optical signal.

[0086] In one possible implementation, the generation module is further configured to: Based on the optical signal, a brightness value and a color temperature value are generated; The brightness value is compensated and corrected based on the color temperature value to obtain the corrected brightness value, and the corrected brightness value is used as the current ambient brightness information.

[0087] like Figure 7 As shown in the figure, this application provides a device including a processor 111, a communication interface 112, a memory 113, and a communication bus 114, wherein the processor 111, the communication interface 112, and the memory 113 communicate with each other through the communication bus 114. Memory 113 is used to store computer programs; In one embodiment of this application, when the processor 111 executes the program stored in the memory 113, it implements the standby control method for the smart device provided in any of the foregoing method embodiments, including: In response to the received standby command, obtain the current time and current ambient brightness information; Control smart devices to enter AI standby mode; In the AI ​​standby mode, it is determined whether the current time falls within a preset rest period; When the current time falls within the preset rest period, the current ambient brightness information is compared with a preset brightness threshold. When the current ambient brightness information is less than the preset brightness threshold, the smart device is controlled to switch from the AI ​​standby mode to the deep standby mode, wherein the far-field voice function is disabled in the deep standby mode.

[0088] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the standby control method for a smart device as provided in any of the foregoing method embodiments.

[0089] This application also provides a computer program product containing instructions that, when run on a computer, causes the computer to execute the standby control method for any of the smart devices described in the above embodiments.

[0090] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0091] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented using software plus a general-purpose hardware platform, or of course, using hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0092] It should be understood that the terminology used herein is for the purpose of describing particular exemplary embodiments only and is not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms “a,” “an,” and “described” as used herein may also include the plural forms. The terms “comprising,” “including,” “containing,” and “having” are inclusive and therefore indicate the presence of the stated features, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, elements, components, and / or combinations thereof. The method steps, processes, and operations described herein are not construed as requiring them to be performed in a particular order described or illustrated unless the order of performance is explicitly indicated. It should also be understood that additional or alternative steps may be used.

[0093] The above description is merely a specific embodiment of this application, enabling those skilled in the art to understand or implement this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A standby control method for an intelligent device, characterized in that, The method includes: In response to the received standby command, obtain the current time and current ambient brightness information; Control smart devices to enter AI standby mode; In the AI ​​standby mode, it is determined whether the current time falls within a preset rest period; When the current time falls within the preset rest period, the current ambient brightness information is compared with a preset brightness threshold. When the current ambient brightness information is less than the preset brightness threshold, the smart device is controlled to switch from the AI ​​standby mode to the deep standby mode, wherein the far-field voice function is disabled in the deep standby mode.

2. The method according to claim 1, characterized in that, Before obtaining the current time and current ambient brightness information, the following is also included: Detect whether the smart device is connected to the network; When the smart device is not connected to the network, control the smart device to directly enter the deep standby mode; When the smart device is connected to the network, the step of obtaining the current time and current ambient brightness information is performed.

3. The method according to claim 2, characterized in that, After controlling the smart device to directly enter the deep standby mode, the method further includes: In the deep standby mode, it is detected whether the smart device has reconnected to the network; When the smart device reconnects to the network, the smart device is controlled to switch from the deep standby mode to the AI ​​standby mode.

4. The method according to claim 1, characterized in that, The method further includes: If the current time does not fall within the preset rest period, check whether an exit command has been received; When the exit command is received, the smart device is controlled to switch from the AI ​​standby mode to the power-on state; If the exit instruction is not received, the AI ​​standby mode is maintained, and the process returns to the step of determining whether the current time falls within the preset rest period.

5. The method according to claim 1, characterized in that, After controlling the smart device to switch from the AI ​​standby mode to the deep standby mode, the method further includes: In the deep standby mode, it monitors whether a non-voice wake-up command is received; When the non-voice wake-up command is received, the smart device is controlled to switch from the deep standby mode to the power-on state.

6. The method according to claim 1, characterized in that, The method further includes: The light signal of the current environment of the smart device is collected by a light sensing module, which is an existing hardware module on the smart device. The current ambient brightness information is generated based on the optical signal.

7. The method according to claim 6, characterized in that, The step of generating the current ambient brightness information based on the optical signal includes: Based on the optical signal, a brightness value and a color temperature value are generated; The brightness value is compensated and corrected based on the color temperature value to obtain the corrected brightness value, and the corrected brightness value is used as the current ambient brightness information.

8. A standby control device for a smart device, characterized in that, The device includes: The acquisition module is used to acquire the current time and current ambient brightness information in response to the received standby command; The first control module is used to control smart devices to enter AI standby mode; The judgment module is used to determine whether the current time falls within a preset rest period in the AI ​​standby mode; The comparison module is used to compare the current ambient brightness information with a preset brightness threshold when the current time falls within the preset rest period. The second control module is used to control the smart device to switch from the AI ​​standby mode to the deep standby mode when the current ambient brightness information is less than the preset brightness threshold, wherein the far-field voice function is disabled in the deep standby mode.

9. An electronic device, characterized in that, include: A processor and a memory, the processor being configured to execute a standby control program for a smart device stored in the memory, to implement the standby control method for a smart device according to any one of claims 1-7.

10. A storage medium, characterized in that, The storage medium stores one or more programs, which can be executed by one or more processors to implement the standby control method of the smart device according to any one of claims 1-7.

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