Intelligent home central control system based on AI

Abstract

The invention discloses a smart home central control system based on AI. The smart home central control system comprises a central control unit, an execution unit and a sensing unit, the central control unit comprises a user behavior analysis module which is used for analyzing the data collected by the sensing unit; the environment self-adaptive adjustment module is used for evaluating the home environment in real time in combination with the real-time data collected by the sensing unit; an equipment collaborative optimization module; a wireless communication protocol is supported, and meanwhile, an Ethernet interface is arranged, so that wired and wireless connection requirements of equipment in different scenes are met. According to the intelligent home central control system constructed by the invention, by virtue of multi-protocol fusion, an AI intelligent mechanism and the like, efficient compatibility of equipment, deep learning of user habits, precise adaptation to environment change, remarkable reduction of energy consumption and comprehensive improvement of intelligent home experience are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of smart home, and specifically to an AI-based central control system for smart home. Background Art

[0002] At present, with the rapid development of digital and Internet of Things technologies, the smart home field has witnessed an unprecedented wave of transformation. All kinds of smart home devices emerge in an endless stream and gradually enter ordinary households.

[0003] However, the smart home systems widely used in the market at present expose the following key problems that urgently need to be solved in the actual operation process:

[0004] 1. Dilemma of device compatibility

[0005] Smart home devices of different brands and types are difficult to achieve seamless docking and collaborative work due to different communication protocols and interface standards adopted by each manufacturer. For example, when a user attempts to integrate the smart lighting system of brand A with the smart speaker of brand B in the same smart home system, compatibility problems such as device unrecognition and incorrect command transmission often occur, making it impossible for the user to build an efficient and unified smart home ecosystem, greatly restricting the function expansion of the smart home system and the improvement of the user experience. This device compatibility problem not only increases the complexity of device selection and installation for users, but also hinders the overall development of the smart home industry;

[0006] 2. Lack of intelligent learning and prediction ability

[0007] Most of the existing smart home systems rely on users to manually set various control rules, and seriously lack the function of actively learning and predicting users' daily living habits. Users need to spend a lot of time and energy setting operation instructions for different devices and scenarios one by one, such as manually setting the light brightness and air conditioner temperature at different times of the day. The system is unable to independently analyze the behavior data accumulated by users for a long time, and it is difficult to anticipate users' needs in advance and automatically adjust the environment according to users' daily work and rest patterns, activity trajectories, and preferences. This greatly reduces the intelligence level of the smart home system and cannot truly provide users with a convenient and considerate home experience;

[0008] 3. Insufficient environmental dynamic adaptation ability

[0009] Traditional smart home systems are difficult to dynamically optimize the operating states of devices according to real-time environmental changes. Environmental parameters such as indoor temperature and humidity, light intensity, and air quality are constantly changing, while existing systems often can only operate according to preset fixed patterns. For example, when the outdoor weather suddenly changes and causes fluctuations in indoor temperature, the air conditioning system cannot adjust the cooling or heating mode in a timely and automatic manner to maintain a comfortable indoor temperature; when the light intensity during the day changes due to cloud cover, the intelligent lighting system also cannot automatically adjust the brightness accordingly. This lack of adaptability to dynamic environmental changes not only reduces the user's comfort but also causes a certain degree of energy waste to some extent. Summary of the Invention

[0010] The purpose of the present invention is to provide a smart home central control system based on AI to solve the problems raised in the above background technology.

[0011] To achieve the above purpose, the present invention provides the following technical solutions: A smart home central control system based on AI, including a central control unit, an execution unit, and a sensing unit;

[0012] The central control unit includes:

[0013] User behavior analysis module: Analyze the data collected by the sensing unit;

[0014] Environmental adaptive adjustment module: Combine the real-time data collected by the sensing unit to conduct real-time evaluation of the home environment;

[0015] Device collaborative optimization module; Support wireless communication protocols and be equipped with an Ethernet interface at the same time to meet the wired and wireless connection requirements of devices in different scenarios;

[0016] The sensing unit includes:

[0017] Temperature sensor: Collect indoor temperature and humidity data in real time and transmit it to the central control unit;

[0018] Light sensor: Used to sense the indoor lighting situation;

[0019] Human body sensor: Used to detect the activity state of the human body;

[0020] Door and window sensor: Monitor the opening and closing states of doors and windows in real time;

[0021] Gas sensor: Used to detect gas usage;

[0022] Air quality sensor: Used to monitor the concentrations of gases such as volatile organic compounds (VOCs) and carbon dioxide in the air in real time and evaluate the indoor air quality.

[0023] Preferably, the user behavior analysis module uses machine learning algorithms to model the user's behavior habits at different times and in different scenarios, including daily waking up and sleeping times, activity frequencies in different areas, usage times, modes, and preference settings of commonly used household appliances, and predicts the user's behavior trends based on these analysis results.

[0024] Preferably, when the environment adaptive adjustment module detects that the environmental parameters deviate from the preset comfortable range, it automatically controls the device for adjustment.

[0025] Preferably, the device collaborative optimization module automatically identifies the type, brand, and communication protocol adopted by the device, quickly retrieves the adapted configuration template from the pre-established device configuration library, and automatically completes the parameter setting and configuration work of the device.

[0026] Preferably, the temperature sensor is an SHT30 digital temperature and humidity sensor, with a temperature measurement accuracy of up to ±0.3°C and a humidity measurement accuracy of up to ±2%RH. It senses the temperature and humidity changes in the environment through internal sensitive components and converts these physical quantities into digital signals for output to the central control unit.

[0027] Preferably, the light sensor is of the BH1750FVI type, with a measurement range of 0 - 65535 lx and an accuracy of up to ±20%. It uses a photosensitive diode to convert the light intensity into an electrical signal, which is processed by the internal circuit and then outputs a digital signal to the central control unit, and is mainly installed near windows, indoor public areas, etc.

[0028] Preferably, the human body sensor is an HC-SR501 type human infrared sensor, with a detection angle of up to 120° and a maximum detection distance of 12 meters. It judges the personnel activity status by sensing the infrared rays emitted by the human body and is mainly installed at the entrances and exits of each room, corridors, etc.

[0029] Preferably, the door and window sensor is the Xiaomi Door and Window Sensor MJMQ01YL, which uses wireless communication. Through the built-in magnet and reed switch, it real-time monitors the opening and closing status of the doors and windows and transmits the status signal to the central control unit, and is installed on the door and window frames.

[0030] Preferably, the air quality sensor is of the SGP30 type, which is used to convert the gas concentration into an electrical signal and output data to the central control unit, and is installed in the living room or bedroom area.

[0031] Preferably, the gas sensor is of the MQ-4 type, which has high sensitivity to common gases such as natural gas and coal gas. It senses the gas concentration through the change in the resistance value of the gas-sensitive resistor and converts the gas concentration into an electrical signal for output to the central control unit.

[0032] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0033] 1. Excellent compatibility: By supporting multiple communication protocols and an innovative device automatic discovery and adaptation mechanism, the present invention successfully solves the compatibility problems between smart home devices of different brands and types, realizes the interconnection and efficient collaborative work of devices, and constructs a unified and convenient smart home ecosystem for users. Users do not need to worry about communication barriers between devices, can freely choose their favorite smart home products, and freely form a personalized smart home environment, greatly improving the scalability and practicality of the smart home system;

[0034] 2. Highly intelligent experience: With the help of the AI intelligent learning and prediction mechanism, the system can deeply understand the user's living habits, anticipate the user's needs in advance and automatically adjust the environment. From simulating a natural sunrise in the early morning to wake up the user, to automatically adjusting household appliances according to the user's daily activity trajectory, and then to creating a personalized home atmosphere according to the user's preferences, the system provides users with comprehensive and considerate smart home services, making home life more convenient and comfortable, and truly realizing the ideal scenario of intelligent life;

[0035] 3. Excellent environmental adaptability: The real-time environmental monitoring and adaptive adjustment function enables the system to quickly and accurately adjust the device operation state according to the dynamic changes of the indoor and outdoor environment. Whether it is the subtle changes in temperature, humidity, light intensity, or air quality, the system can respond in a timely manner and automatically control relevant devices to ensure that users are always in a comfortable environment, effectively improving the user's comfort and satisfaction, and creating a home environment like spring all year round, with appropriate light and fresh air for users. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 is a schematic structural diagram of the present invention;

[0037] Figure 2 is a schematic structural diagram of the central control unit of the present invention;

[0038] Figure 3 is a schematic structural diagram of the sensing unit of the present invention;

[0039] Figure 4 is a working flow chart of the user behavior analysis module of the present invention;

[0040] Figure 5 is a working flow chart of the environmental adaptive adjustment module of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0042] Please refer to Figures 1-5 , the present invention provides a technical solution: an AI-based smart home central control system, including a central control unit, an execution unit, and a sensing unit;

[0043] The central control unit includes:

[0044] User behavior analysis module: analyzes the data collected by the sensing unit;

[0045] Environmental adaptive adjustment module: evaluates the home environment in real time by combining the real-time data collected by the sensing unit;

[0046] Device cooperation optimization module; supports wireless communication protocols and is equipped with an Ethernet interface at the same time to meet the wired and wireless connection requirements of devices in different scenarios;

[0047] The sensing unit includes:

[0048] Temperature sensor: collects indoor temperature and humidity data in real time and transmits it to the central control unit;

[0049] Light sensor: used to sense the indoor lighting conditions;

[0050] Human body sensor: used to detect the activity status of the human body;

[0051] Door and window sensor: monitors the opening and closing status of doors and windows in real time;

[0052] Gas sensor: used to detect the gas usage situation;

[0053] Air quality sensor: used to monitor the concentrations of gases such as volatile organic compounds (VOCs) and carbon dioxide in the air in real time and evaluate the indoor air quality.

[0054] As a preferred solution, further, the user behavior analysis module uses machine learning algorithms to model the user's behavior habits at different times and in different scenarios, including the daily wake-up and sleep times, the activity frequencies in different areas, the usage times, modes, and preference settings of commonly used household appliances, and predicts the user's behavior trends based on these analysis results.

[0055] As a preferred solution, furthermore, when the environment adaptive adjustment module detects that the environmental parameters deviate from the preset comfortable range, it automatically controls the device to make adjustments.

[0056] As a preferred solution, furthermore, the device collaborative optimization module automatically identifies the type, brand, and communication protocol adopted by the device, quickly retrieves an adapted configuration template from the pre-established device configuration library, and automatically completes the parameter setting and configuration work of the device.

[0057] As a preferred solution, furthermore, the temperature sensor is an SHT30 digital temperature and humidity sensor, with a temperature measurement accuracy of up to ±0.3°C and a humidity measurement accuracy of up to ±2%RH. It senses the temperature and humidity changes in the environment through internal sensitive elements and converts these physical quantities into digital signals for output to the central control unit.

[0058] As a preferred solution, furthermore, the light sensor is of the BH1750FVI type, with a measurement range of 0 - 65535 lx and an accuracy of up to ±20%. It uses a photosensitive diode to convert the light intensity into an electrical signal, which is processed by the internal circuit and then outputs a digital signal to the central control unit, and is mainly installed near windows, indoor public areas, and other locations.

[0059] As a preferred solution, furthermore, the human body sensor is an HC-SR501 type human infrared sensor, with a detection angle of up to 120° and a maximum detection distance of 12 meters. It judges the personnel activity status by sensing the infrared rays emitted by the human body and is mainly installed at the entrances and exits of each room, corridors, and other locations.

[0060] As a preferred solution, furthermore, the door and window sensor is the Xiaomi Door and Window Sensor MJMQ01YL, which uses a wireless communication method. Through the built-in magnet and reed switch, it real-time monitors the opening and closing status of the doors and windows and transmits the status signal to the central control unit, and is installed on the door and window frames.

[0061] As a preferred solution, furthermore, the air quality sensor is of the SGP30 type, which is used to convert the gas concentration into an electrical signal and output data to the central control unit, and is installed in the living room or bedroom area.

[0062] As a preferred solution, furthermore, the gas sensor is of the MQ-4 type, which has high sensitivity to common gases such as natural gas and coal gas. It senses the gas concentration through the resistance change of the gas-sensitive resistor and converts the gas concentration into an electrical signal for output to the central control unit.

[0063] System architecture design:

[0064] Perception Unit: Deploy a variety of sensors, including temperature and humidity sensors, light sensors, PIR sensors, door and window sensors, smoke sensors, gas sensors, and air quality sensors, etc. These sensors are reasonably placed in various key areas, such as the living room, bedroom, kitchen, bathroom, etc., according to the actual layout of the home environment. They are responsible for collecting key data such as environmental parameters, personnel activity status, equipment operation status, and safety hazard information in real time, and transmitting the collected data quickly and stably to the central control unit via various wireless communication protocols such as Wi-Fi, Bluetooth, and ZigBee;

[0065] Central Control Unit: As the core of the entire system, the central control unit selects a high-performance processor and deeply embeds an AI intelligent control engine based on deep learning algorithms. On the one hand, it efficiently receives the data transmitted from the perception layer, and uses advanced AI algorithms to deeply analyze, process, and learn the data; on the other hand, according to the preset rules, user historical behavior data, and real-time environmental conditions, it quickly generates accurate control instructions. At the same time, the central control unit shoulders the important responsibility of managing the communication connection with various smart home devices to ensure the smoothness and stability of data transmission within the system;

[0066] Execution Unit: Includes a variety of smart home devices, such as smart lights, smart appliances (such as air conditioners, refrigerators, washing machines, TVs, etc.), smart curtains, smart door locks, etc. The devices at this layer accurately receive the control instructions issued by the central control unit and quickly and accurately execute the corresponding actions, so as to achieve fine adjustment and intelligent control of the home environment.

[0067] Unified Communication Protocol and Device Adaptation:

[0068] Multi-Protocol Fusion: The central control unit innovatively supports multiple mainstream wireless communication protocols such as Wi-Fi, Bluetooth, ZigBee, and Thread, and is also equipped with an Ethernet interface to meet the wired and wireless connection needs of devices in different scenarios. By building a unified device communication protocol conversion mechanism, regardless of the communication standard adopted by the device, the central control unit can achieve seamless docking with them, break down the communication barriers between devices, and ensure the smooth interaction of data;

[0069] Device Auto-Discovery and Adaptation: The system has a powerful device auto-discovery function. When a new smart home device is connected to the home network, the central control unit can automatically identify the type, brand, and communication protocol adopted by the device within a short time. Subsequently, according to the relevant information of the device, it quickly retrieves the adapted configuration template from the pre-established device configuration library and automatically completes the parameter setting and configuration of the device, truly realizing plug-and-play of the device, which greatly simplifies the device installation and debugging process for users;

[0070] AI Intelligent Learning and Prediction Mechanism:

[0071] In-depth Analysis of User Behavior: The user behavior analysis module in the AI intelligent control engine deeply mines and analyzes the massive data collected by the perception layer for a long time. By applying machine learning algorithms, it models the user's behavior habits at different times and in different scenarios, including the daily wake-up and bedtime, the activity frequency in different areas, the usage time, mode, and preference settings of commonly used household appliances, etc. Based on these in-depth analysis results, the system can accurately predict the user's behavior trend and create a personalized home environment for the user in advance. For example, half an hour before the user's daily wake-up time, the system automatically adjusts the bedroom light brightness to a soft state and turns on the air conditioner to adjust the room temperature to a suitable temperature;

[0072] Environment Adaptive Intelligent Adjustment: Combining the real-time data collected by temperature and humidity sensors, light sensors, air quality sensors, etc., the environment adaptive adjustment module in the AI intelligent control engine uses advanced AI algorithms to comprehensively evaluate the home environment in real time. Once the environmental parameters deviate from the preset comfortable range, the system immediately automatically controls the relevant devices for adjustment. For example, when the indoor temperature is too high, the air conditioner is automatically turned on for cooling; when the light intensity is insufficient, the brightness of the intelligent light is automatically adjusted; when the indoor air quality deteriorates, the air purifier is automatically started. At the same time, the system fully considers the differences in the user's environmental requirements in different seasons and at different times, and dynamically adjusts the environmental control strategy to ensure that the user is always in a comfortable home environment.

[0073] In the description of the present invention, it should be understood that the orientation or positional relationships indicated by the terms "coaxial", "bottom", "one end", "top", "middle", "the other end", "upper", "one side", "top", "inner", "front", "center", "both ends", etc. are based on the orientation or positional relationships shown in the drawings. These are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0074] In addition, the terms "first", "second", "third", "fourth" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first", "second", "third", "fourth" may explicitly or implicitly include at least one of these features.

[0075] In the present invention, unless otherwise clearly specified or limited, the terms "install", "set", "connect", "fix", "swivel connection" and the like shall be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two components or the interaction relationship between two components. Unless otherwise clearly defined, for those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0076] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An AI-based central control system for smart home, characterized in that: It includes a central control unit, an execution unit, and a sensing unit; The central control unit includes: User behavior analysis module: Analyze the data collected by the sensing unit; Environmental adaptive adjustment module: Combine the real-time data collected by the sensing unit to conduct real-time evaluation of the home environment; Device collaborative optimization module; Support wireless communication protocols and be equipped with an Ethernet interface to meet the wired and wireless connection requirements of devices in different scenarios; The sensing unit includes: Temperature sensor: Collect indoor temperature and humidity data in real time and transmit it to the central control unit; Light sensor: Used to sense the indoor lighting situation; Human body sensor: Used to detect the activity status of the human body; Door and window sensor: Monitor the opening and closing status of doors and windows in real time; Gas sensor: Used to detect the gas usage situation; Air quality sensor: Used to monitor the concentrations of gases such as volatile organic compounds (VOCs) and carbon dioxide in the air in real time and evaluate the indoor air quality.

2. The AI-based smart home central control system according to claim 1, wherein: The user behavior analysis module uses machine learning algorithms to model the user's behavior habits at different times and in different scenarios, including the daily waking up and falling asleep times, the activity frequencies in different areas, the usage times, modes, and preference settings of commonly used household appliances. Based on these analysis results, it predicts the user's behavior trends.

3. The AI-based smart home central control system according to claim 1, wherein: When the environmental adaptive adjustment module detects that the environmental parameters deviate from the preset comfortable range, it automatically controls the devices for adjustment.

4. The AI-based smart home central control system according to claim 1, wherein: The device collaborative optimization module automatically identifies the type, brand, and communication protocol adopted by the device, and quickly retrieves the adapted configuration template from the pre-established device configuration library to automatically complete the parameter setting and configuration work of the device.

5. The AI-based smart home central control system according to claim 1, wherein: The temperature sensor is an SHT30 type digital temperature and humidity sensor, with a temperature measurement accuracy of up to ±0.3°C and a humidity measurement accuracy of up to ±2%RH. It senses the temperature and humidity changes in the environment through internal sensitive elements and converts these physical quantities into digital signals for output to the central control unit.

6. The AI-based smart home central control system according to claim 1, characterized in that: The light sensor is of the BH1750FVI type, with a measurement range of 0 - 65535 lx and an accuracy of up to ±20%. It uses a photodiode to convert the light intensity into an electrical signal, and after internal circuit processing, it outputs a digital signal to the central control unit, and is mainly installed near windows, indoor public areas, etc.

7. The AI-based smart home central control system according to claim 1, wherein: The human body sensor is an HC-SR501 type human infrared sensor, with a detection angle of up to 120° and a maximum detection distance of 12 meters. It judges the personnel activity status by sensing the infrared rays emitted by the human body and is mainly installed at the entrances and exits of each room, corridors, etc.

8. The AI-based smart home central control system according to claim 1, wherein: The door and window sensor is the Xiaomi Door and Window Sensor MJMQ01YL, which uses wireless communication. Through the built-in magnet and reed switch, it monitors the opening and closing status of doors and windows in real time and transmits the status signal to the central control unit, and is installed on the door and window frames.

9. The AI-based smart home central control system according to claim 1, wherein: The air quality sensor is of the SGP30 type, used to convert the gas concentration into an electrical signal and output data to the central control unit, and is installed in the living room or bedroom area.

10. The AI-based smart home central control system according to claim 1, wherein: The gas sensor is of the MQ-4 type, which has high sensitivity to common gases such as natural gas and coal gas. It senses the gas concentration through the change in the resistance value of the gas-sensitive resistor and converts the gas concentration into an electrical signal and outputs it to the central control unit.

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