Intelligent home control system based on integration of Internet of Things and multiple sensors

Abstract

The utility model discloses an Internet of Things and multi-sensor integrated intelligent household control system, which relates to the field of intelligent household control and comprises a wireless sensor network, a coordinator and an intelligent household robot. The wireless sensor network comprises an environment information acquisition sensor, a wearable medical sensor and an intelligent household equipment mainboard located on the intelligent household equipment, and the environment information acquisition sensor, the wearable medical sensor and the intelligent household equipment mainboard are respectively connected with ZigBee terminal nodes; each ZigBee terminal node is in bidirectional connection and forms a ZigBee mesh topology structure with a coordinator ad hoc network, the coordinator is connected with an intelligent wireless gateway of the intelligent household robot, and the intelligent wireless gateway is in bidirectional communication connection with the intelligent mobile terminal and is in wireless communication connection with the intelligent household equipment mainboard. According to the utility model, the Internet of Things home control system taking the intelligent home robot as the center is realized, the intelligent home robot is taken as a mobile platform, the dynamic real-time inspection of the home environment can be realized, and the system is safe and reliable.

Description

Technical Field

[0001] This utility model relates to the field of smart home control, specifically to a smart home control system that integrates the Internet of Things and multiple sensors. Background Technology

[0002] With the rapid development of technologies such as the Internet of Things (IoT) and cloud computing, smart home appliances are gradually entering family life, further increasing the demand for smart homes. A smart home, based on existing housing technology, utilizes computer technology, embedded technology, wireless communication technology, and internet technology to connect various terminal devices within the home into a unified whole, enabling intelligent control in daily life, as well as remote monitoring and management of the network. Currently, most smart home control systems on the market rely on sensor terminals to collect data on the home environment and use statically deployed gateways and processors to issue control commands to smart home devices. This reflects a passive, static approach to home information processing, lacking real-time performance and accuracy. Furthermore, while existing smart home control systems can sense and control the home environment and smart home devices, such as gas leak detection, lighting control, room temperature and humidity adjustment, and curtain operation, they rarely address issues like health monitoring for the elderly or preventing gas stoves from being left running. Utility Model Content

[0003] To address the shortcomings of the aforementioned technologies, this invention provides a smart home control system that integrates the Internet of Things and multiple sensors.

[0004] The technical solution adopted by this utility model to achieve the above-mentioned technical effects is:

[0005] A smart home control system integrating the Internet of Things (IoT) and multiple sensors includes a wireless sensor network, a coordinator, and a smart home robot. The wireless sensor network includes environmental information acquisition sensors, wearable medical sensors, and a smart home device motherboard located on the smart home device. The environmental information acquisition sensors, the wearable medical sensors, and the smart home device motherboard are each connected to ZigBee terminal nodes. The ZigBee terminal nodes are bidirectionally connected to each other and form a ZigBee mesh topology with the coordinator's self-organizing network. The smart home robot includes a human infrared sensor, a voice module, a 360° camera module, a voice recognition module, a touch screen, a processor, a visual inspection module, an electric drive walking mechanism, and a smart wireless gateway. The coordinator is connected to the smart home robot's smart wireless gateway. The smart wireless gateway has bidirectional communication connections with smart mobile terminals and wireless communication connections with the smart home device motherboard.

[0006] Preferably, in the above-mentioned smart home control system that integrates the Internet of Things and multiple sensors, the environmental information acquisition sensors include smoke sensors, gas leak sensors, gas valve flow sensors, air quality sensors, temperature sensors, humidity sensors, illuminance sensors, and water immersion sensors.

[0007] Preferably, in the above-mentioned smart home control system that integrates the Internet of Things and multiple sensors, the smart home devices include a smart gas shut-off valve, a smart air purifier, a smart air conditioner, a smart light, and smart curtains.

[0008] Preferably, in the above-mentioned smart home control system that integrates the Internet of Things and multiple sensors, the wearable medical sensor includes a pulse monitoring wristband, a finger pressure blood pressure measurement module, and an in-shoe pressure sensor for sensing human posture.

[0009] Preferably, in the above-mentioned smart home control system that integrates the Internet of Things and multiple sensors, both the ZigBee terminal node and the coordinator are composed of ZigBee modules, and the ZigBee module includes a CC2530C chip that operates in the 2.4G ISM band.

[0010] Preferably, in the above-mentioned smart home control system that integrates the Internet of Things and multiple sensors, the coordinator is integrated into the smart home robot.

[0011] Preferably, in the above-mentioned smart home control system that integrates the Internet of Things and multiple sensors, the smart wireless gateway adopts a wireless ZigBee gateway with model number ZB-WG-2.

[0012] Preferably, in the above-mentioned smart home control system that integrates the Internet of Things and multiple sensors, the visual inspection module adopts a visual positioning camera of model SY-673M.

[0013] The beneficial effects of this invention are as follows: The smart home control system of this invention acquires data from diverse terminal sensor devices through a wireless sensor network. It can collect and transmit real-time information on the home environment, the elderly person's physical condition, and the status of smart home devices to a smart home robot deployed in the home. The smart home robot then processes the sensor data and controls the corresponding smart home devices, realizing an IoT home control system centered on the smart home robot. Using the smart home robot as a mobile platform, it can achieve dynamic real-time inspection of the home environment, ensuring safety and reliability. Specifically, based on the gas valve flow sensor in the home environment and the human infrared sensor deployed on the smart home robot, it can detect whether the gas stove is unattended and left burning. Based on wearable medical sensors worn and used by the elderly person and the 360° camera module deployed on the smart home robot, it can dynamically monitor the elderly person's home status and physical condition. Attached Figure Description

[0014] Figure 1 This is a block diagram of the principle modules of this utility model;

[0015] Figure 2 This is a schematic block diagram of a principle module of an embodiment of the present utility model;

[0016] Figure 3 This is a schematic block diagram of a principle module of an embodiment of the present utility model. Detailed Implementation

[0017] To provide a further understanding of this utility model, the following description, with reference to the accompanying drawings and specific embodiments, will further illustrate the utility model:

[0018] In the description of this utility model, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this utility model and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this utility model.

[0019] like Figure 1As shown, this utility model proposes an intelligent home control system integrating the Internet of Things (IoT) and multiple sensors. This intelligent home control system includes a wireless sensor network, a coordinator, and an intelligent home robot. The wireless sensor network includes environmental information acquisition sensors, wearable medical sensors, and a smart home device motherboard located on the smart home devices. The environmental information acquisition sensors are deployed at key nodes in the home environment to collect status information. The wearable medical sensors are worn or used by the elderly to detect their home status and physical condition. The smart home device motherboard acquires and uploads the operating status data of the smart home devices and responds to corresponding control commands, completing the start / stop control and parameter adjustment control of the smart home devices. The intelligent home robot dynamically moves within the home environment, acquiring sensor information data collected by the wireless sensor network through the coordinator, and then issuing control commands to the corresponding smart home devices based on the acquired sensor data, remotely sending them to authorized connected smart mobile terminals. Specifically, in the embodiments of this utility model, as... Figure 1 As shown, the environmental information acquisition sensor, wearable medical sensor, and smart home device motherboard are each connected to a ZigBee terminal node. The ZigBee terminal nodes are bidirectionally connected and form a ZigBee mesh topology with the coordinator's self-organizing network. The principle of the ZigBee mesh topology, constructed by ZigBee terminal nodes and the coordinator, as an existing wireless networking technology, will not be elaborated here.

[0020] In embodiments of this utility model, such as Figure 1 As shown, the intelligent home robot includes a human infrared sensor, a voice module, a 360° camera module, a voice recognition module, a touch screen, a processor, a visual inspection module, an electric drive walking mechanism, and an intelligent wireless gateway. The coordinator is connected to the intelligent wireless gateway of the intelligent home robot. The intelligent wireless gateway has a bidirectional communication connection with the intelligent mobile terminal and a wireless communication connection with the motherboard of the smart home device. Specifically, the human infrared sensor is used to detect whether there is human activity or presence in the home environment; the voice module, voice recognition module, and touch screen are used for human-computer interaction; the 360° camera module is used to capture the situation in the home environment in emergencies and upload it to the cloud for interconnection with the intelligent mobile terminal; the visual inspection module uses visual recognition hardware to guide the electric drive walking mechanism to complete daily inspections of the home environment according to set inspection tasks; the intelligent wireless gateway is used to establish an internet connection with the intelligent mobile terminal; and the processor is used to process the sensor signal data received from the wireless sensor network and issue control commands.

[0021] In this embodiment of the invention, the processor in the intelligent home robot uses an STM32F103RCT6 chip as its core processor. The human infrared sensor is a pyroelectric human infrared sensor of model HC-SR501, designed to detect human radiation. Its pyroelectric element is highly sensitive to infrared radiation with a wavelength of approximately 10µm, and is sensitive only to infrared radiation from the human body. A Fresnel filter is applied to its radiation surface to significantly suppress environmental interference. The voice module is a model DY-SV17F, with an onboard 5W Class D amplifier capable of directly driving a 4Ω, 3-5W speaker. The voice recognition module is a model WTK6900B02, capable of direct recognition, button recognition, and wake-word recognition, achieving a recognition rate of over 90% within half a meter. The visual inspection module uses a model SY-673M visual positioning camera. Based on visual recognition and positioning, it guides the electrically driven walking mechanism to complete daily inspections of the home environment according to set inspection tasks. The intelligent wireless gateway uses a ZB-WG-2 wireless ZigBee gateway. Both the ZigBee terminal nodes and the coordinator are composed of ZigBee modules, which include a CC2530C chip that operates in the 2.4G ISM band.

[0022] In an embodiment of this utility model, the coordinator is integrated into the smart home robot. Through the autonomous inspection of the smart home robot, the sensor data of the ZigBee terminal node in the current inspection area can better establish a data communication connection with the smart home robot, thus constructing a dynamic smart home control system centered on the smart home robot.

[0023] As a preferred embodiment, such as Figure 2 As shown, environmental information acquisition sensors include smoke sensors, gas leak sensors, gas valve flow sensors, air quality sensors, temperature sensors, humidity sensors, illuminance sensors, and water immersion sensors. Smart home devices include smart gas shut-off valves, smart air purifiers, smart air conditioners, smart lighting, and smart curtains. For example... Figure 3As shown, wearable medical sensors include a pulse monitoring wristband, a finger-pressure blood pressure measurement module, and an in-shoe pressure sensor for sensing human posture. When a smoke sensor detects smoke in the home environment, it sends the data to a smart home robot, which then issues a voice alarm and sends the information to a smart mobile terminal. Similarly, when a gas leak sensor detects a gas leak, it sends the data to the smart home robot, which then issues a voice alarm and sends the information to a smart mobile terminal. When an air quality sensor detects poor air quality, it sends the data to the smart home robot, which then sends a control command to a smart air purifier to activate it and purify the indoor air. Likewise, the working principles of temperature, humidity, light intensity, and water immersion sensors are similar and will not be elaborated upon here. Furthermore, the models of these sensors are all mature and widely used technologies. In an embodiment of this invention, when the gas valve flow sensor detects gas usage and the smart home robot does not find anyone in the room during its inspection, or when someone is in the room but the kitchen is unattended for an extended period, the gas stove is determined to be in a state of unattended dry burning. In this case, the smart home robot sends an alarm message to the smart mobile terminal and issues a voice alarm to the occupants via the established internet communication connection. In another embodiment of this invention, a pulse monitoring bracelet, a finger-pressure blood pressure measurement module, and a shoe pressure sensor are used to detect the elderly person's pulse, blood pressure, and posture, respectively. The smart home robot analyzes and processes this monitoring data and sends an alarm message to the smart mobile terminal when an abnormality is detected. Specifically, when the shoe pressure sensor remains below a set pressure threshold for a set period, the smart home robot, guided by the visual inspection module, moves to the area and activates a 360° camera module to record and upload video footage to the smart mobile terminal, preventing the elderly person from being left unattended for an extended period after an accidental fall.

[0024] In summary, this utility model's smart home control system acquires data from diverse terminal sensor devices via a wireless sensor network. It can collect real-time information on the home environment's status, the elderly person's physical condition, and the status of smart home devices, and send this data to a smart home robot deployed in the home. The smart home robot then processes the sensor data and controls the corresponding smart home devices, realizing an IoT-based home control system centered on the smart home robot. Using the smart home robot as a mobile platform, it can achieve dynamic real-time inspection of the home environment, ensuring safety and reliability. Specifically, based on the gas valve flow sensor in the home environment and the human infrared sensor deployed on the smart home robot, it can detect whether the gas stove is unattended and left burning. Based on wearable medical sensors worn and used by the elderly and a 360° camera module deployed on the smart home robot, it can dynamically monitor the elderly person's home status and physical condition.

[0025] The foregoing has shown and described the basic principles, main features, and advantages of this utility model. Those skilled in the art should understand that this utility model is not limited to the above embodiments. The embodiments and descriptions in the specification are merely the principles of this utility model. Various changes and modifications can be made to this utility model without departing from its spirit and scope. All such changes and modifications fall within the scope of protection claimed by this utility model, which is defined by the appended claims and their equivalents.

Claims

1. An Internet of Things and multi-sensor fusion based smart home control system, characterized by, The application relates to a wireless sensor network, a coordinator and a smart home robot, wherein the wireless sensor network comprises environment information collection sensors, wearable medical sensors and smart home device mainboards on smart home devices, the environment information collection sensors, the wearable medical sensors and the smart home device mainboards are respectively connected with ZigBee terminal nodes, the ZigBee terminal nodes are bidirectionally connected with each other, and a ZigBee mesh topology is formed by self-organizing networking of the coordinator; the smart home robot comprises a human body infrared sensor, a voice module, a 360-degree camera module, a voice recognition module, a touch display screen, a processor, a visual inspection module, an electrically-driven walking mechanism and a smart wireless gateway; the coordinator is connected with the smart wireless gateway of the smart home robot; the smart wireless gateway is bidirectionally connected with a smart mobile terminal and is wirelessly connected with the smart home device mainboard. 2.The smart home control system of Internet of Things and multi-sensor fusion according to claim 1, characterized in that, The environment information collection sensors comprise smoke sensors, gas leakage sensors, gas valve flow sensors, air quality sensors, temperature sensors, humidity sensors, illumination sensors and water immersion sensors. 3.The smart home control system of Internet of Things and multi-sensor fusion according to claim 1, characterized in that, The smart home devices comprise smart gas self-closing valves, smart air purifiers, smart air conditioners, smart lighting lamps and smart curtains. 4.The smart home control system of Internet of Things and multi-sensor fusion according to claim 1, characterized in that, The wearable medical sensors comprise pulse monitoring bracelets, finger pressure type blood pressure measuring modules and in-shoe pressure sensors for sensing human body postures. 5.The smart home control system of Internet of Things and multi-sensor fusion according to claim 1, characterized in that, The ZigBee terminal nodes and the coordinator are both formed by ZigBee modules, and the ZigBee modules comprise CC2530C chips working at 2.4G ISM frequency bands. 6.The smart home control system of Internet of Things and multi-sensor fusion according to claim 5, characterized in that, The coordinator is integrated on the smart home robot. 7.The smart home control system of Internet of Things and multi-sensor fusion according to claim 1, characterized in that, The smart wireless gateway adopts a wireless ZigBee gateway with a model of ZB-WG-2. 8.The smart home control system of Internet of Things and multi-sensor fusion according to claim 1, characterized in that, The visual inspection module adopts a visual positioning camera with a model of SY-673M.

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