Multifunctional bedside table control method and system

Abstract

The present invention relates to the field of smart home technology, and provides a multifunctional bedside table control method and system, the method comprising obtaining the use status of the bedside table, the use status including the use status of a predetermined control device, the recording method of the use status is determined according to the predetermined control device, the use status of the lighting device is the cumulative use status within a predetermined monitoring time, and the use status of the entertainment device is the continuous use status; judging whether the use status reaches a predetermined state; triggering the automatic adjustment function of the control panel when the use status reaches the predetermined state, the automatic adjustment function including adjusting the light brightness or color of the bedside table. The present invention can realize the function of automatically adjusting the light brightness or color of the bedside table, thereby providing users with a more personalized and comfortable use experience.

Description

Technical Field

[0001] The present invention relates to the field of smart home technology, and more specifically, to a multifunctional bedside table control method and system. Background Art

[0002] With the rapid development of smart homes, bedside tables, as common furniture in bedrooms, are no longer limited to traditional storage and support functions. Modern bedside tables integrate a variety of intelligent control devices, such as lighting and entertainment, to meet the diverse needs of users. However, most of the existing bedside table control systems are manually operated and lack intelligent automatic adjustment functions, and cannot be adaptively adjusted according to the actual user's usage and environmental changes. This not only affects the user experience, but also fails to give full play to the convenience and comfort of smart furniture.

[0003] In the process of implementing the embodiments of the present invention, the inventors found that there are at least the following problems or defects in the prior art: first, the monitoring of the use status of the bedside table is not accurate and comprehensive enough, and cannot accurately reflect the user's use habits and needs; second, the existing system lacks consideration of user personal information and cannot provide personalized control solutions; third, the environmental perception ability is insufficient, and the working status of the bedside table cannot be automatically adjusted according to changes in the surrounding environment. These problems limit the intelligence level of the bedside table control system and also affect the user's satisfaction and quality of life. Summary of the invention

[0004] The invention provides a multifunctional bedside table control method and system.

[0005] In a first aspect of the present invention, a multifunctional bedside table control method is provided, comprising:

[0006] Acquire the use status of the bedside table, the use status includes the use status of a predetermined control device, the recording method of the use status is determined according to the predetermined control device, the use status of the lighting device is the cumulative use status within a predetermined monitoring time, and the use status of the entertainment device is the continuous use status;

[0007] Determining whether the usage status reaches a predetermined status;

[0008] When the use state reaches the predetermined state, the automatic adjustment function of the control panel is triggered, and the automatic adjustment function includes adjusting the light brightness or color of the bedside table.

[0009] Furthermore, the step of obtaining the usage status of the bedside table includes: obtaining an average usage status of a plurality of bedside tables through network data; and determining the predetermined status according to the average usage status.

[0010] Furthermore, the control method includes: recording the usage of the bedside table over a period of time in the past; and determining the predetermined state according to the usage.

[0011] Furthermore, the control method includes: obtaining user information; and

[0012] The predetermined state is determined according to the user information, wherein the user information includes age, health condition, sleeping posture and / or fatigue level.

[0013] Furthermore, the use state is a continuous use state; the step of obtaining the use state of the bedside table includes: detecting in real time whether the bedside table receives a user operation or whether the control device state changes within a predetermined time interval;

[0014] If yes, record the usage status; if no, pause or stop recording the usage status.

[0015] Furthermore, the use state is a continuous use state; the bedside table includes an environment sensing device; the step of obtaining the use state of the bedside table includes: controlling the environment sensing device to detect the surrounding environment of the bedside table at a predetermined time interval;

[0016] determining whether the bedside table is being used by the user according to the surrounding environment;

[0017] If yes, record the usage status; if no, pause or stop recording the usage status.

[0018] In a second aspect of the present invention, a multifunctional bedside table control system is provided, comprising:

[0019] The control system includes: a network acquisition module, used for acquiring the average usage status of a plurality of bedside tables through network data; and a first determination module, used for determining the predetermined status according to the average usage status.

[0020] Furthermore, the control system includes: a usage recording module for recording the usage of the bedside table over a period of time in the past; and a second determination module for determining the predetermined state according to the usage.

[0021] Furthermore, the control system includes: a user information acquisition module for acquiring user information; and a third determination module for determining the predetermined state according to the user information, wherein the user information includes age, health status, sleeping posture and / or fatigue level.

[0022] According to the above embodiment of the present invention, at least the following beneficial effects are achieved: the multifunctional bedside table control system of the present invention can significantly improve the user experience by integrating intelligent monitoring and automatic adjustment functions. The system can obtain and analyze the use status of the bedside table in real time, including the use of lighting and entertainment equipment, as well as the user's personal preferences and environmental conditions. This intelligent monitoring mechanism enables the bedside table to automatically adjust the light brightness or color according to the user's use habits and environmental changes, thereby providing the user with a more comfortable and personalized bedroom environment. In addition, the system of the present invention also has the ability to learn user behavior patterns and can continuously optimize the control strategy according to the user's use and feedback. By recording and analyzing the user's use data, the system can predict the user's needs and automatically adjust the function settings of the bedside table at the appropriate time to reduce the user's operating burden. This intelligent control can not only improve the practicality and convenience of the bedside table, but also bring a more humane and intimate use experience to the user. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the detailed description below with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, in which:

[0024] Figure 1 A schematic diagram of a flow chart of a multifunctional bedside table control method provided by an embodiment of the present invention;

[0025] Figure 2 A schematic diagram of the structure of a multifunctional bedside cabinet control system provided by an embodiment of the present invention;

[0026] Figure 3 The schematic diagram schematically shows the structure of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to make the technical means, creative features, objectives and effects achieved by the embodiments of the present invention easy to understand, the embodiments of the present invention are further described below in combination with diagrams and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the embodiments of the present invention and are not used to limit the embodiments of the present invention.

[0028] A specific embodiment of the present invention discloses a multifunctional bedside table control method, such as Figure 1 shown.

[0029] A multifunctional bedside table control method comprises the following steps:

[0030] Step 101, obtaining the use status of the bedside table, the use status includes the use status of a predetermined control device, the recording method of the use status is determined according to the predetermined control device, the use status of the lighting device is the cumulative use status within a predetermined monitoring time, and the use status of the entertainment device is the continuous use status;

[0031] Step 102, determining whether the usage status reaches a predetermined status;

[0032] Step 103, triggering the automatic adjustment function of the control panel when the use state reaches the predetermined state, the automatic adjustment function including adjusting the light brightness or color of the bedside table.

[0033] It should be noted that the bedside table control method first involves obtaining the usage status of the bedside table. This includes monitoring and data collection of multiple control devices connected to the control panel, such as lighting devices and entertainment devices. The recording method of the usage status will be determined according to the characteristics of these devices. For example, the usage status of the lighting device may be the accumulated usage time within a predetermined monitoring time, while the usage status of the entertainment device may be the continuous usage time.

[0034] Specifically, the step of obtaining the usage status may involve installing sensors or using existing smart device interfaces to monitor the working status of the device. These sensors can be light sensors, motion sensors, or other types of sensors that detect whether the device is in use. At the same time, the system will record the usage of these devices within a specific time period, such as the total usage time of lighting equipment between 10 pm and 6 am, or the continuous usage time of entertainment equipment when the user is watching a movie.

[0035] Preferably, the step of obtaining the usage status may further include obtaining the average usage status of multiple bedside tables through network data. This method can collect usage data of bedside tables from different users through a central server, and then calculate an average value as a reference. In addition, the system can predict and adjust the predetermined state based on these average data, making the control method more flexible and adaptable to the needs of different users. For example, the system can set a threshold, and when the usage status of the bedside table exceeds this threshold, the adjustment function of the control panel is automatically triggered.

[0036] In some embodiments, determining whether the usage status has reached a predetermined state is a key step of the control method. This involves analyzing the collected usage data to determine whether a preset condition is met. For example, if the cumulative usage time of the lighting device exceeds a set threshold, or the continuous usage time of the entertainment device reaches a certain standard, the system will consider that the usage status has reached a predetermined state.

[0037] Specifically, the judgment step can be implemented by setting a series of logical rules. These rules can be based on time, frequency or other related parameters. For example, the system can set a rule that when the lighting equipment is used for more than 3 hours at night, or the entertainment equipment is used for more than 2 hours continuously, it is considered that the predetermined state has been reached.

[0038] Preferably, the judgment step may also include prediction and learning of user behavior. The system may analyze the user's usage habits through a machine learning algorithm and automatically adjust the predetermined state according to these habits. In this way, the system can not only respond to the current usage state, but also predict future usage needs, thereby providing more personalized services.

[0039] In some embodiments, when the usage state reaches a predetermined state, the control method triggers the automatic adjustment function of the control panel. This includes adjusting the light brightness or color of the bedside table to adapt to the user's usage needs and environmental conditions. The automatic adjustment function is designed to provide a more comfortable and personalized user experience.

[0040] Specifically, the automatic adjustment function can be realized by a microcontroller on the control panel. The microcontroller receives signals from the sensor and adjusts the brightness or color of the light according to preset rules or algorithms. For example, the system can set different brightness levels or color modes to suit different usage scenarios, such as reading, watching movies or resting.

[0041] Preferably, the automatic adjustment function can also include sensing and adjusting the ambient light. The system can detect the light intensity in the room through the ambient light sensor and adjust the brightness of the light according to these data to ensure the comfort of the indoor light. In addition, the system can also adjust the color of the light according to the user's age, health status or sleeping posture to provide a healthier and more comfortable sleeping environment.

[0042] In some embodiments, the step of obtaining the usage status of the bedside table includes: obtaining an average usage status of a plurality of bedside tables through network data; and determining the predetermined status according to the average usage status.

[0043] It should be noted that the step of obtaining the usage status of the bedside table includes obtaining the average usage status of multiple bedside tables through network data. This means that the system will collect bedside table usage data from different users and conduct a comprehensive analysis of the data to determine a representative average usage status. This not only helps to understand the overall usage habits of users, but also provides a basis for the system to adjust the control strategy.

[0044] Specifically, in the process of obtaining the average usage status through network data, the system may define a series of parameters, such as usage frequency, usage duration, device type, etc., to measure and compare the usage of different bedside tables. For example, the system may record the number of times the lighting device of each bedside table is turned on and the total usage time in a specific time period, as well as the usage patterns of entertainment devices in different time periods.

[0045] Preferably, the system can also use weighted average or other statistical methods to calculate the average usage status to take into account the possible differences in the frequency and intensity of use of the bedside table by different users. In addition, the system can set a dynamic update mechanism to update the average usage status data regularly or according to specific trigger conditions to ensure that the system always reflects the latest usage trends.

[0046] In some embodiments, the step of determining the predetermined state based on the average usage state involves comparing the collected average data with a preset threshold or standard to determine whether the automatic adjustment function needs to be triggered. This step is a key link in the intelligence of the control system, which allows the system to automatically adjust its behavior based on actual usage.

[0047] In some embodiments, if the impact of the usage status in different time periods on the overall usage status needs to be considered, a weighted average can be used for calculation, and the formula is:

[0048]

[0049] Among them, U avg is the weighted average usage status, W i is the weight of the i-th time period, U i is the usage status of the i-th time period, and n is the total number of time periods.

[0050] The dynamic adjustment of the usage status can refer to the following formula:

[0051] U(t)=α·U(t-1)+(1-α)·ΔU(t) (2)

[0052] U(t) is the usage status at time t; U(t-1) is the usage status at time t-1;

[0053] α is the adjustment coefficient, which is used to smoothly transition the relationship between the current state and the previous state, and its value is between 0 and 1; ΔU(t) is the change in usage state detected at time t; 1-α is the degree of influence of the new change on the current state.

[0054] In some embodiments, in the process of determining the predetermined state, the system may set a series of rules or algorithms that define when to trigger automatic adjustment based on the average usage state. For example, if the average usage time of the lighting device exceeds a preset threshold, the system may automatically adjust the light brightness to adapt to the user's nighttime usage habits.

[0055] Preferably, the system can also use an adaptive learning algorithm to continuously optimize the criteria for determining the predetermined state. By analyzing the user's feedback on the automatic adjustment function, the system can automatically adjust the thresholds and rules to better meet the user's personalized needs. In addition, the system can also take into account the user's specific information, such as age, health status, etc., to further personalize the criteria for determining the predetermined state.

[0056] In some embodiments, the control system further comprises a first determination module, which is used to determine the predetermined state according to the average usage state. This module is one of the core components of the system, which is responsible for processing and analyzing the collected data and making a decision on whether to trigger the automatic adjustment function.

[0057] Specifically, the first determination module may integrate a variety of data processing and analysis tools, such as statistical analysis software, machine learning models, etc., to ensure that it can accurately extract useful information from network data and make reasonable judgments.

[0058] Preferably, the first determination module can also be designed to have a user interaction function, allowing the user to manually adjust the judgment criteria of the predetermined state according to his or her own preferences. In this way, the user can directly participate in the configuration process of the control system, making the system more flexible and user-friendly.

[0059] In some embodiments, the control method includes: recording the usage of the bedside table over a period of time in the past; and determining the predetermined state according to the usage.

[0060] It should be noted that the control method includes recording the usage of the bedside table over a period of time. This involves continuous monitoring of the control devices of the bedside table, such as lighting and entertainment equipment, and recording their usage data. This data is then used to analyze the user's usage patterns and habits, providing a basis for the system to adjust the control strategy.

[0061] Specifically, the step of recording usage may include setting a time window, such as the past week or month, to collect usage data of the bedside table. This data may include the time when the device is turned on and off, the duration of use, the frequency of use, etc. The system may use a database or log file to store this information for subsequent analysis.

[0062] Preferably, the step of recording usage may also include categorizing and labeling the data to facilitate identification of different usage scenarios and patterns. For example, the system may distinguish between nighttime usage and daytime usage, or classify usage into short-term usage and long-term usage based on the duration of usage.

[0063] In some embodiments, the predetermined state is determined based on the usage. This step is achieved by analyzing the collected usage data, with the purpose of identifying the user's demand pattern for the bedside table function, thereby setting one or more predetermined states that will trigger the automatic adjustment function.

[0064] Specifically, determining the predetermined state may involve setting specific parameters or thresholds, such as frequency of use, total usage time, or usage time period. For example, if data shows that the user frequently uses the lighting device between 10 pm and 12 am, the system may set this period as a high demand period.

[0065] Preferably, the step of determining the predetermined state may also include using a machine learning algorithm to automatically identify usage patterns and adjust the predetermined state accordingly. This approach can make the system more intelligent and able to adapt to changes in user behavior without the need for manual parameter updates.

[0066] In some embodiments, the control method further includes dynamically adjusting the predetermined state according to the analysis results of the usage situation. This means that the system can not only identify the current usage pattern, but also predict future needs and make adjustments in advance.

[0067] Specifically, dynamically adjusting the reservation status may involve real-time monitoring of usage data and comparing it with preset patterns to determine whether the reservation status needs to be updated. For example, if the system detects a sudden increase in user usage during off-peak hours, it may adjust the reservation status to accommodate this new change.

[0068] Preferably, the dynamic adjustment can also include a user feedback mechanism, allowing the user to evaluate the effect of the automatic adjustment function and optimize the predetermined state based on the feedback. In this way, the system can not only learn and adapt automatically, but also ensure user satisfaction and achieve true personalized service.

[0069] In some embodiments, the control method includes: acquiring user information; and determining the predetermined state according to the user information, wherein the user information includes age, health status, sleeping posture and / or fatigue level.

[0070] It should be noted that the control method includes obtaining user information, which is the key to realizing the personalized control function. User information can be obtained based on a variety of sources, such as active input by the user, automatic detection by smart devices, or learning from the user's usage habits. This information helps the system understand user needs more accurately, thereby providing more customized services.

[0071] Specifically, the user information obtained may include but is not limited to the user's basic information and behavioral characteristics. Basic information may include age, gender, health status, etc., while behavioral characteristics may include sleep patterns, activity habits, etc. For example, the system may allow users to input their age and health status through a user interface, or automatically detect the user's sleeping posture and fatigue level through a sleep monitoring device.

[0072] Preferably, the step of obtaining user information can also integrate third-party services or applications, such as health monitoring applications, to obtain more comprehensive data. In addition, the system can set up a privacy protection mechanism to ensure the security and privacy of user information.

[0073] In some embodiments, the predetermined state is determined based on the user information, which allows the system to adjust its control strategy based on the user's personal characteristics. By analyzing the user information, the system can identify the user's specific needs and set or adjust the predetermined state accordingly.

[0074] Specifically, determining the predetermined state may involve setting a series of rules based on user information. For example, if the user is an elderly person, the system may set the brightness of the lighting device to be higher to facilitate them to get up at night. If the user often works at night, the system may adjust the use pattern of entertainment equipment to reduce interference with sleep.

[0075] Preferably, the step of determining the predetermined state may also use advanced data analysis techniques, such as data mining and pattern recognition, to gain a deeper understanding of user behavior and preferences, so that the system can more accurately predict user needs and automatically adjust control strategies to meet these needs.

[0076] In some embodiments, the user information includes age, health status, sleeping posture and / or fatigue level, which is essential for achieving personalized control. By integrating this information, the system can better adapt to the needs of different users and provide more humane services.

[0077] Specifically, the system may set different parameter thresholds to reflect the influence of different user information. For example, the system may automatically adjust the color temperature and brightness of the lights according to the user's age, or adjust the volume and usage time of entertainment equipment according to the user's health status.

[0078] Preferably, the system can also provide user customization options, allowing users to manually set the predetermined state according to their preferences. This can be achieved through a user-friendly interface, where users can select their favorite lighting settings, entertainment modes, etc. In addition, the system can learn the user's customized settings and automatically apply them in the future, further improving the level of personalized service.

[0079] In some embodiments, the use state is a continuous use state; the step of obtaining the use state of the bedside table includes: detecting in real time whether the bedside table receives a user operation or whether the control device state changes within a predetermined time interval;

[0080] If yes, record the usage status; if no, pause or stop recording the usage status.

[0081] It should be noted that the usage state is a continuous usage state, which means that the control devices of the bedside table, such as lighting or entertainment equipment, are used uninterruptedly, and the system needs to monitor this continuous usage in real time. This continuous usage state monitoring is crucial for understanding the user's behavior pattern and providing timely automatic adjustment functions.

[0082] Specifically, the monitoring of continuous use status may involve real-time detection of the working signal of the device. For example, the system can determine whether a lighting device is turned on by monitoring the power status of the lighting device, or confirm whether it is being used by monitoring the playback status of the entertainment device. In addition, the system may set a time threshold to define what is "continuous use", such as if no operation is detected for more than 5 minutes, it is considered to be interrupted.

[0083] Preferably, the monitoring of the continuous use state may also include the recognition of user interaction, such as through touch, voice command or other input methods. The system may set a specific algorithm to recognize the user's interaction mode and determine whether the use state is continuous based on it.

[0084] In some embodiments, the step of obtaining the use status of the bedside table includes real-time detection of whether the bedside table receives user operations or whether the control device status changes within a predetermined time interval. This requires the system to have efficient data processing capabilities to ensure that it can respond to user operations and device status changes in a timely manner.

[0085] Specifically, real-time detection can be achieved by setting up a cyclic detection mechanism, which checks the status of the device at a predetermined time interval (e.g., every minute or every second). The system can record the status of the device at each detection and compare it with the previous status to determine whether there is a change.

[0086] Preferably, the real-time detection mechanism can also integrate event-driven elements. When a user operation or a device status change is detected, the system can immediately trigger the corresponding processing program instead of waiting for the next detection cycle, thereby improving the response speed.

[0087] In some embodiments, if a user operation is received or a control device state changes, the usage state is recorded; if not, the usage state is paused or stopped. This mechanism helps optimize data storage and processing efficiency, only records meaningful usage data, and reduces unnecessary consumption of system resources.

[0088] Specifically, the process of recording the usage status can be managed by a status recording module, which decides whether to record data based on the results of real-time detection. If the system detects a change in the device status or a new operation by the user, the module will record this event and a timestamp.

[0089] Preferably, the status recording module may also have an intelligent filtering function to record only the usage status that meets specific conditions, such as only recording the device status changes caused by user operations, while ignoring the changes caused by automatic system adjustments, thereby further improving the relevance and practicality of the data.

[0090] In some embodiments, the use state is a continuous use state; the bedside table includes an environment sensing device; the step of obtaining the use state of the bedside table includes: controlling the environment sensing device to detect the surrounding environment of the bedside table at a predetermined time interval;

[0091] determining whether the bedside table is being used by the user according to the surrounding environment;

[0092] If yes, record the usage status; if no, pause or stop recording the usage status.

[0093] It should be noted that the use state is a continuous use state, and the bedside table includes an environmental sensing device. These devices allow the bedside table to intelligently judge and record its use state through environmental sensing. The environmental sensing device can be a variety of sensors, such as temperature sensors, light sensors, motion sensors, etc., which can help the system understand the user's needs and the conditions of the surrounding environment more accurately.

[0094] Specifically, the use of the environment sensing device may include setting the detection frequency and threshold parameters of the sensor. For example, a motion sensor may trigger the recording of the use status when detecting the user's activities near the bed, and a light sensor may be used to identify changes in light intensity in the environment to determine whether the user uses the bedside table at night.

[0095] Preferably, the data of the environment sensing device can be combined with the usage status of other control devices to provide a more comprehensive status record. For example, if the ambient light dims and the lighting device is activated, the system can infer that the user is using the bedside table and record this usage status.

[0096] In some embodiments, the step of obtaining the usage status of the bedside table includes controlling the environment sensing device to detect the surrounding environment of the bedside table at predetermined time intervals. This indicates that the control system of the bedside table has the ability to perform periodic detection to update the understanding of the usage status in real time.

[0097] Specifically, the predetermined time interval may be a few minutes or a few seconds, depending on the needs of the user and the response speed of the system. The system may determine whether the user is interacting with the bedside table based on these detection results, and record the usage status accordingly.

[0098] Preferably, the system can set up an adaptive time interval adjustment mechanism to dynamically adjust the detection frequency according to the user's activity frequency and environmental changes. For example, the detection frequency can be increased when the user is active and reduced when the user is inactive for a long time to optimize resource usage.

[0099] In some embodiments, it is determined whether the bedside table is being used by the user according to the surrounding environment; if so, the use status is recorded; if not, the use status is paused or stopped. This step allows the system to intelligently decide when to record data, thereby improving the efficiency and accuracy of data processing.

[0100] Specifically, the judgment process can be achieved by analyzing the data collected by the environment sensing device. For example, if the motion sensor continuously detects user activity for a period of time, the system can assume that the bedside table is being used and record this state.

[0101] Preferably, the system can also combine the user's preferences and historical usage patterns to optimize the judgment logic. For example, if the user usually uses the bedside table during specific time periods, the system can increase the sensitivity of the detection during these time periods to ensure that the usage status is accurately captured. In addition, the system can provide a user interface to allow the user to manually override the automatic settings to adapt to the user's specific needs.

[0102] The above-mentioned embodiments of the present invention have the following beneficial effects: through the multifunctional bedside table control method of the present invention, the system can achieve a highly personalized and intelligent user experience. First, the system can accurately capture the user's behavior pattern and needs by real-time monitoring and analyzing the use status of the bedside table, including the use of lighting and entertainment equipment. This enables the bedside table to automatically adjust the light brightness or color according to the user's use habits and environmental changes, providing a more comfortable and personalized bedroom environment. Secondly, by acquiring and analyzing user information, such as age, health status, sleeping posture and fatigue level, the system can further customize the control strategy to meet the specific needs of different users, thereby improving the user's satisfaction and quality of life. In addition, the bedside table control system of the present invention also has the ability of intelligent learning, and can continuously optimize the control strategy according to the user's use and feedback. By recording and analyzing the user's use data, the system can predict the user's needs and automatically adjust the function settings of the bedside table at an appropriate time to reduce the user's operating burden. This intelligent control can not only improve the practicality and convenience of the bedside table, but also bring a more humane and intimate use experience to the user. At the same time, through the integration of environmental sensing devices, the system can more accurately monitor and respond to the user's interaction with the bedside table, ensuring timely service when the user needs it, saving energy when the user is not in use, and achieving a green and environmentally friendly user experience.

[0103] like Figure 2 As shown, a multifunctional bedside table control system 200 of some embodiments includes:

[0104] The acquisition module 201 is used to acquire the use status of the bedside table, wherein the use status includes the use status of a predetermined control device, and the recording method of the use status is determined according to the predetermined control device. The use status of the lighting device is the accumulated use status within a predetermined monitoring time, and the use status of the entertainment device is the continuous use status;

[0105] A determination module 202 is used to determine whether the usage status reaches a predetermined status;

[0106] The automatic adjustment triggering module 203 is used to trigger the automatic adjustment function of the control panel when the use state reaches the predetermined state, and the automatic adjustment function includes adjusting the light brightness or color of the bedside table.

[0107] It is understandable that the modules recorded in the multifunctional bedside cabinet control system 200 are similar to those in the reference Figure 1 Therefore, the operations, features and beneficial effects described above for the multifunctional bedside table control method are also applicable to the multifunctional bedside table control system 200 and the modules contained therein, and will not be repeated here.

[0108] In some embodiments, the control system includes: a network acquisition module, used to acquire the average usage status of multiple bedside tables through network data; and a first determination module, used to determine the predetermined state according to the average usage status.

[0109] It should be noted that the control system includes a network acquisition module for acquiring the average usage status of multiple bedside tables through network data. This module is an important part of the system, which allows the system to collect information from multiple data sources to obtain a broader overview of usage. The data acquired through the network can include the usage of bedside tables by different users, different regions or different time periods.

[0110] Specifically, the network acquisition module may involve communication interfaces with multiple bedside tables, such as Wi-Fi or Bluetooth, and data transmission and reception protocols. This module will be responsible for collecting usage data from each bedside table and sending this data to a central server or cloud platform for processing and analysis. In addition, this module may also include mechanisms for data encryption and secure transmission to protect the privacy and security of user data.

[0111] Preferably, the network acquisition module may also have data screening and preprocessing functions to ensure that only relevant and accurate data is used to calculate the average usage status. For example, the module may exclude outliers or incomplete data records to improve the accuracy of data analysis.

[0112] In some embodiments, the control system further comprises a first determination module for determining the predetermined state according to the average usage state. This module is responsible for converting the collected average usage data into specific control parameters in order to trigger the automatic adjustment function.

[0113] Specifically, the first determination module may include a series of algorithms and logic rules for analyzing the average usage status and setting the predetermined status. These rules may be based on the frequency of use, the duration of use, or other relevant indicators to determine when the bedside table settings should be adjusted.

[0114] Preferably, the first determination module may also include an adaptive learning algorithm, so that it can automatically adjust the parameters of the predetermined state according to the user's feedback and the change of the usage pattern. In this way, the system can continuously optimize the control strategy to better meet the personalized needs of the user.

[0115] In some embodiments, the control system can realize intelligent monitoring and adjustment of the use status of the bedside table by combining the network acquisition module and the first determination module. This combined data-driven method not only improves the responsiveness and accuracy of the system, but also provides users with a more personalized and comfortable use experience.

[0116] Preferably, the control system can further integrate a user feedback mechanism to allow the user to evaluate and adjust the results of the automatic adjustment. This can be achieved through a user interface where the user can provide preferences for light brightness, color or other settings. In this way, the system can collect direct feedback from the user and incorporate it into the determination process of the predetermined state, thereby achieving more precise and user-friendly control.

[0117] In some embodiments, the control system includes: a usage recording module for recording the usage of the bedside table over a period of time in the past; and a second determination module for determining the predetermined state according to the usage.

[0118] It should be noted that the control system includes a usage recording module for recording the usage of the bedside table over a period of time. This module is one of the core parts of the system and is responsible for collecting and storing the usage data of the bedside table to provide a basis for subsequent analysis and control decisions. By recording the usage, the system can understand the user's behavior patterns and preferences, and then provide more personalized services.

[0119] Specifically, the usage recording module may include a data collector, a storage unit, and data management software. The data collector is responsible for real-time monitoring of the control devices of the bedside table, such as lighting and entertainment equipment, and sending the usage data to the storage unit. The storage unit can be a local database or a cloud storage service to save the collected usage data. The data management software is responsible for organizing and maintaining this data to ensure its accuracy and accessibility.

[0120] Preferably, the usage recording module may also include data cleaning and verification mechanisms to ensure that the recorded data is accurate and reliable. In addition, the module may set a data retention policy to determine which data needs to be stored for a long time and which data can be deleted after a certain period of time to optimize the use of storage resources.

[0121] In some embodiments, the control system further comprises a second determination module, which determines the predetermined state according to the usage. This module is a key part of the system, responsible for analyzing the recorded usage data and setting or adjusting the predetermined state accordingly. In this way, the system can intelligently respond to the user's behavior and needs and provide more precise control.

[0122] Specifically, the second determination module may include data analysis tools, pattern recognition algorithms, and decision support systems. Data analysis tools are used to process and analyze the collected usage data to identify user behavior patterns and preferences. Pattern recognition algorithms are used to discover patterns and trends from these data and predict user needs. The decision support system sets or adjusts the predetermined state based on these analysis results and triggers the corresponding automatic adjustment function.

[0123] Preferably, the second determination module may also include a user feedback mechanism, allowing the user to evaluate and adjust the results of the automatic adjustment. In this way, the system can not only make decisions automatically based on data analysis, but also optimize according to the direct feedback of the user, thereby improving the accuracy of control and user satisfaction.

[0124] In some embodiments, the control system can realize comprehensive monitoring and intelligent control of the use of the bedside table by combining the use recording module and the second determination module. This combined data-driven approach not only improves the responsiveness and accuracy of the system, but also provides users with a more personalized and comfortable use experience.

[0125] Preferably, the control system can further integrate an environmental perception module, such as a temperature sensor, a light sensor, or a motion sensor, to obtain more information about the user's environment. This information can be used as an additional input for analysis by the second determination module, making the control decision more comprehensive and accurate. In addition, the system can set different user modes, such as "night mode", "reading mode" or "entertainment mode", and automatically switch these modes according to the user's usage and environmental conditions to provide more considerate services.

[0126] In some embodiments, the control system includes: a user information acquisition module for acquiring user information; and a third determination module for determining the predetermined state based on the user information, wherein the user information includes age, health status, sleeping posture and / or fatigue level.

[0127] It should be noted that the control system includes a user information acquisition module for acquiring user information, which is the basis for implementing personalized control strategies. User information can be acquired through active user input, automatic detection by smart devices, or learning from user behavior. This information helps the system to understand user needs more deeply, thereby providing more customized services.

[0128] Specifically, the user information acquisition module may include a user interface, a sensor interface, and a data synchronization protocol. The user interface allows the user to manually enter personal information, such as age, health status, etc. The sensor interface is connected to various biosensors or wearable devices to automatically collect the user's physiological data, such as heart rate, sleep quality, etc. The data synchronization protocol ensures that this information can be transmitted to the control system securely and in real time.

[0129] Preferably, the user information acquisition module may also include privacy protection measures to ensure that the security and privacy of the user information are not disclosed. In addition, the module may be designed to support a variety of data input methods and formats to accommodate the needs and preferences of different users.

[0130] In some embodiments, the control system further comprises a third determination module, which is used to determine the predetermined state according to the user information. This module is responsible for analyzing the user information and converting it into specific control parameters to achieve personalized device control.

[0131] Specifically, the third determination module may include a user portrait builder, a rule engine, and an adaptive learning algorithm. The user portrait builder builds a digital portrait of the user based on the collected user information. The rule engine determines the predetermined state of the control device based on these portraits and preset rules. The adaptive learning algorithm allows the system to automatically adjust the predetermined state based on the user's usage feedback and behavior changes to better meet user needs.

[0132] Preferably, the third determination module may also include a multi-factor decision support system, which comprehensively considers multiple factors such as user information, usage conditions and environmental conditions to make more comprehensive and accurate control decisions. In addition, the module can be designed to support user-defined control rules, so that users can adjust the predetermined state according to their preferences.

[0133] In some embodiments, the control system can realize intelligent control based on user information by combining the user information acquisition module and the third determination module. This control method not only improves the personalization level of the system, but also enhances the user's satisfaction and usage experience.

[0134] Preferably, the control system can further integrate situational awareness capabilities to optimize the control strategy by analyzing the contextual information of the user's environment, such as time, location, activities, etc. For example, the system can automatically adjust the light of the bedside table to warm colors before the user goes to bed to help the user relax. In addition, the system can be designed to support linkage with other smart home devices, such as automatically adjusting the indoor temperature or playing soothing music, to create a more comfortable and personalized living environment.

[0135] Reference below Figure 3 , which shows a schematic diagram of a structure 300 of an electronic device suitable for implementing some embodiments of the present invention. The electronic devices in some embodiments of the present invention may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0136] like Figure 3As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0137] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 309. The communication devices 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead. Figure 3 Each block shown in the figure may represent one device, or may represent multiple devices as required.

[0138] Furthermore, the storage medium of the embodiment of the present application stores program instructions that can implement all the above methods, wherein the program instructions can be stored in the above storage medium in the form of a software product, including several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or terminal devices such as a computer, a server, a mobile phone, and a tablet.

[0139] The above descriptions are only some preferred embodiments of the present invention and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present invention is not limited to the technical solutions formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the above features are replaced with (but not limited to) technical features with similar functions disclosed in the embodiments of the present invention to form a technical solution.

Claims

1. A multifunctional bedside table control method, characterized in that: The bedside table includes a control panel, and the control panel is connected to a plurality of control devices. The control method includes: obtaining the use status of the bedside table, and the step of obtaining the use status of the bedside table includes: obtaining the average use status of a plurality of bedside tables through network data; the use status includes the use status of a predetermined control device, and the recording method of the use status is determined according to the predetermined control device, the use status of the lighting device is the accumulated use status within a predetermined monitoring time, and the use status of the entertainment device is the continuous use status; For the usage status, the influence of the usage status in different time periods on the overall usage status is considered and a weighted average is used for calculation, and the formula is: Among them, U avg is the weighted average usage status, W i is the weight of the i-th time period, U i is the usage status of the i-th time period, and n is the total number of time periods; The dynamic adjustment of the usage status can refer to the following formula: U(t)=α·U(t-1)+(1-α)·ΔU(t) U(t) is the usage status at time t; U(t-1) is the usage status at time t-1; α is the adjustment coefficient, which is used to smoothly transition the relationship between the current state and the previous state, and its value is between 0 and 1; ΔU(t) is the change in the usage state detected at time t; 1-α is the degree of influence of the new change on the current state; Determine whether the usage status reaches the predetermined status; the determination step includes predicting and learning the user's behavior; the system analyzes the user's usage habits through a machine learning algorithm and automatically adjusts the predetermined status according to the habits; triggering an automatic adjustment function of the control panel when the use state reaches the predetermined state, the automatic adjustment function including adjusting the light brightness or color of the bedside table; In determining the predetermined state, the system sets a series of rules or algorithms that define when to trigger automatic adjustment based on the average usage state; Specifically: The step of determining the predetermined state includes: obtaining user information, and determining the predetermined state according to the user information, wherein the user information includes age, health condition, sleeping posture and / or fatigue degree; recording the usage of the bedside table over a period of time, and determining the predetermined state according to the usage; determining the predetermined state according to the average usage state; The step of recording usage includes setting a time window to collect usage data of the bedside table; the usage data includes the time points when the device is turned on and off, the usage duration, and the usage frequency; the step of recording usage may also include classifying and labeling the data to identify different usage scenarios and modes; the usage scenarios and modes include distinguishing between nighttime use and daytime use, or classifying the usage into short-time use and long-time use according to the usage duration; The step of adjusting the predetermined state includes: using a machine learning algorithm to automatically identify the usage pattern and adjusting the predetermined state accordingly; dynamically adjusting the predetermined state according to the analysis results of the usage situation; the dynamic adjustment also includes a user feedback mechanism, allowing the user to evaluate the effect of the automatic adjustment function and optimize the predetermined state according to the feedback; The system uses an adaptive learning algorithm to continuously optimize the criteria for determining the reservation status. By analyzing user feedback on the automatic adjustment function, the system automatically adjusts thresholds and rules to meet the user's personalized needs. The system takes into account the user's specific information to further personalize the criteria for determining the reservation status.

2. The control method according to claim 1, characterized in that: The use state is a continuous use state; the step of obtaining the use state of the bedside table includes: detecting in real time whether the bedside table receives a user operation or whether the control device state changes within a predetermined time interval; If yes, record the usage status; if no, pause or stop recording the usage status.

3. The control method according to claim 1, characterized in that: The use state is a continuous use state; the bedside table includes an environment sensing device; the step of obtaining the use state of the bedside table includes: controlling the environment sensing device to detect the surrounding environment of the bedside table at a predetermined time interval; determining whether the bedside table is being used by the user according to the surrounding environment; If yes, record the usage status; if no, pause or stop recording the usage status.

4. A multifunctional bedside table control system, used to control a multifunctional bedside table, characterized in that: The bedside table includes a control panel, and the control panel is connected to a plurality of control devices. The control system includes: an acquisition module, which is used to acquire the use status of the bedside table, the use status includes the use status of a predetermined control device, and the recording method of the use status is determined according to the predetermined control device, the use status of the lighting device is the accumulated use status within a predetermined monitoring time, and the use status of the entertainment device is the continuous use status; A network acquisition module, used for acquiring the average usage status of multiple bedside tables through network data; A first determination module includes a series of algorithms and logic rules for determining a predetermined state according to the average usage state; and also includes an adaptive learning algorithm, which enables it to automatically adjust the parameters of the predetermined state according to user feedback and changes in usage patterns; For the usage status, the influence of the usage status in different time periods on the overall usage status is considered and a weighted average is used for calculation, and the formula is: Among them, U avg is the weighted average usage status, W i is the weight of the i-th time period, U i is the usage status of the i-th time period, and n is the total number of time periods; The dynamic adjustment of the usage status can refer to the following formula: U(t)=α·U(t-1)+(1-α)·ΔU(t) U(t) is the usage status at time t; U(t-1) is the usage status at time t-1; α is the adjustment coefficient, which is used to smoothly transition the relationship between the current state and the previous state, and its value is between 0 and 1; ΔU(t) is the change in the usage state detected at time t; 1-α is the degree of influence of the new change on the current state; A usage recording module, used to record the usage of the bedside table over a period of time; The second determination module determines the predetermined state according to the usage; includes a data analysis tool, a pattern recognition algorithm and a decision support system; the data analysis tool is used to process and analyze the collected usage data to identify the user's behavior patterns and preferences; the pattern recognition algorithm is used to discover rules and trends from these data and predict user needs; the decision support system sets or adjusts the predetermined state according to the analysis results and triggers the corresponding automatic adjustment function; includes a user feedback mechanism to allow the user to evaluate and adjust the results of the automatic adjustment; User information acquisition module, used to obtain user information; The third determination module is used to determine the predetermined state according to the user information, wherein the user information includes age, health status, sleeping posture and / or fatigue level; it includes a user portrait builder, a rule engine and an adaptive learning algorithm; the user portrait builder builds a digital portrait of the user according to the collected user information; the rule engine determines the predetermined state of the control device according to the portrait and preset rules; the adaptive learning algorithm allows the system to automatically adjust the predetermined state according to the user's usage feedback and behavior changes to meet the user's needs; it includes a multi-factor decision support system that comprehensively considers multiple factors such as user information, usage and environmental conditions; the module supports user-defined control rules, so that users can adjust the predetermined state according to their preferences; A judgment module is used to judge whether the usage status reaches a predetermined state; and an automatic adjustment trigger module is used to trigger the automatic adjustment function of the control panel when the usage status reaches the predetermined state, and the automatic adjustment function includes adjusting the brightness or color of the light of the bedside table.

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