Big-data-based smart home control system

Abstract

A big-data-based smart home control system, comprising: an indoor environment detection module (101), which is used for collecting in real time indoor environment information of a controlled smart home device, and uploading the collected environment information to a cloud server (102) by means of a wireless network; the cloud server (102), which is used for receiving the environment information collected by the indoor environment detection module (101), and generating a smart home control scheme in view of preset user habit information and collected user requirement information; a controller (103), which is used for receiving the smart home control scheme issued by the cloud server (102) and generating a control command on the basis of the smart home control scheme; and a mobile terminal (104), which is used for generating the user requirement information and uploading the requirement information to the cloud server (102) by means of the wireless network.

Description

Intelligent home control system based on big data TECHNICAL FIELD

[0001] The present application relates to the technical field of big data, and particularly relates to an intelligent home control system based on big data. BACKGROUND

[0002] With the increasing improvement of people's living standards, people's requirements for the quality of life and the intelligentization of living environment are higher and higher, and various household appliances have widely entered people's life and become an indispensable part of people's daily life. Intelligent home is more and more welcomed by people and brings many conveniences to people's life. Intelligent home connects various devices (such as audio and video devices, lighting systems, curtain control, air conditioning control, security systems, digital theater systems, video servers, video cabinet systems, network home appliances, etc.) in the home through the Internet of Things technology, and provides home appliance control, lighting control, telephone remote control, indoor and outdoor remote control, burglar alarm, environment monitoring, heating control, infrared conversion, and programmable timing control and other functions and means. Compared with ordinary home, intelligent home not only has traditional living function, but also combines architecture, network communication, information home appliances, equipment automation, and provides full range of information interaction function, and even saves money for various energy costs. However, the existing intelligent home system still needs to be improved in meeting the personalized needs of users and providing intelligent services.

[0003] SUMMARY

[0004] The technical problem to be solved by the present application is how to provide an intelligent home control system based on big data which can realize personalized service and is safe and reliable.

[0005] To solve the above technical problems, the technical solution adopted by the present application is: an intelligent home control system based on big data, comprising:

[0006] An indoor environment detection module is configured to collect environment information of an indoor environment where a controlled intelligent home is located in real time, and upload the collected environment information to a cloud server through a wireless network;

[0007] A cloud server is configured to receive the environment information collected by the indoor environment detection module, and generate an intelligent home control scheme in combination with preset user habit information and collected user demand information, and download the intelligent home control scheme to a controller through a wireless network;

[0008] The controller is configured to receive the intelligent home control scheme downloaded by the cloud server and generate a control command according to the intelligent home control scheme, and then send the generated control command to the intelligent home through a wired network or a wireless network to control the intelligent home to perform corresponding work;

[0009] The mobile terminal is used for generating demand information of a user and uploading the demand information to a cloud server through a wireless network, operation data of the smart home is uploaded to a controller through a wired network or a wireless network, the controller processes the operation data of the smart home and uploads the operation data to the cloud server through the wireless network, the cloud server processes the operation data of the smart home and sends the operation data to the mobile terminal through the wireless network, and the operation data of the smart home is displayed on the mobile terminal in real time.

[0010] The beneficial effects generated by the above technical solutions are as follows: the smart home control system disclosed by the application realizes deep mining and analysis of user behavior habits, preferences, demands and environmental information through big data technology, thereby providing more personalized and intelligent home services for users.

[0011] 1) Personalized service: the control system can automatically adjust the running state of home equipment according to the habits and demands of users, and provide a comfortable living environment.

[0012] 2) Energy saving and environmental protection: through intelligent control of home appliances, the saving of electric energy is realized, and the impact on the environment is reduced.

[0013] 3) Safety and reliability: the system can monitor the home safety condition in real time, and timely find and handle potential safety hazards. BRIEF DESCRIPTION OF DRAWINGS

[0014] The application will be further described in detail below in combination with the drawings and specific embodiments.

[0015] Fig. 1 is a principle block diagram of the system according to the embodiment of the application. DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the application will be described clearly and completely below in combination with the drawings of the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the application.

[0017] In the following description, many specific details are set forth in order to provide a thorough understanding of the application, but the application can also be practiced without the other ways different from those described herein, and those skilled in the art can make similar generalizations without departing from the connotation of the application, therefore the application is not limited by the specific embodiments disclosed below.

[0018] Generally, as shown in Fig. 1, the embodiment of the application discloses a smart home control system based on big data, which comprises:

[0019] The indoor environment detection module 101 is used for collecting the environment information of the indoor environment where the controlled smart home is located in real time, and uploading the collected environment information to the cloud server through a wireless network.

[0020] The cloud server 102 is used for receiving the environment information collected by the indoor environment detection module, and generating a smart home control scheme in combination with preset user habit information and collected user demand information, and downloading the smart home control scheme to the controller through a wireless network.

[0021] The controller 103 is used for receiving the smart home control scheme downloaded by the cloud server and generating a control command according to the smart home control scheme, and then sending the generated control command to the smart home through a wired network or a wireless network to control the smart home to perform corresponding work.

[0022] The mobile terminal 104 is used for generating user demand information, and uploading the demand information to the cloud server through a wireless network. The operation data of the smart home is uploaded to the controller through a wired network or a wireless network. The controller processes the operation data of the smart home and uploads it to the cloud server through a wireless network. The cloud server processes the operation data of the smart home and sends it to the mobile terminal through a wireless network, so as to realize real-time display of the operation data of the smart home on the mobile terminal.

[0023] The indoor environment detection module comprises:

[0024] Temperature and humidity sensor: used for real-time monitoring of indoor temperature and humidity. The smart home control system can automatically adjust air conditioners, humidifiers and other devices according to these data to maintain the comfort of the indoor environment. For example, automatically turn on the air conditioner to cool down when the temperature is too high, or start the humidifier when the humidity is too low.

[0025] Illumination sensor: used for measuring the intensity of indoor light, so as to intelligently adjust the lighting system or smart curtain system. When the light is insufficient, the light is automatically turned on, or when the sunlight is too strong, the curtain is automatically adjusted to block the sunlight, so as to achieve energy saving and improve the comfort of living.

[0026] Gas concentration sensor (including smoke sensor, carbon monoxide sensor, etc.): used for monitoring the concentration of harmful gases or smoke in the indoor air. Once an anomaly is detected, such as gas leakage or fire smoke, the smart home control system can immediately trigger an alarm and automatically take emergency measures, such as opening the window for ventilation or closing the gas valve.

[0027] PM2.5 sensor: used for detecting the concentration of fine particulate matter in the indoor environment of the home, which is usually used to evaluate the indoor air quality. The smart home control system can adjust the operation state of the air purifier according to the data of the PM2.5 sensor to protect the health of the occupants.

[0028] Infrared sensor: used for monitoring and tracking objects through infrared technology, commonly used in smart home security systems. It can detect human movement, triggering responses from smart lighting, smart cameras, and other devices. For example, automatically turning on the lights when someone enters the room, or starting security monitoring video when detecting abnormal movement.

[0029] Water immersion sensor: used to monitor indoor water level and water leakage. Once water leakage is detected, the smart home system can immediately shut off the water source and send an alarm to the user to avoid water damage and safety hazards.

[0030] These sensors form the core of the environmental detection module, providing real-time monitoring and data analysis to support decision-making for the smart home system, creating a more intelligent, comfortable, and safe living environment.

[0031] The cloud server generates a smart home control plan by receiving environmental information collected by the indoor environmental detection module, combining preset user habit information, and collecting user demand information, including the following steps:

[0032] Receive environmental information: the cloud server first receives real-time environmental information collected by the indoor environmental detection module through wireless networks such as Wi-Fi, Bluetooth, etc. These information can include temperature, humidity, air quality (such as PM2.5, PM10 concentration), light intensity, etc.

[0033] Integrate user habit information: the server also stores user habit information, which can be input by the mobile terminal or derived from historical behavior data analysis through machine learning algorithms. For example, the user may have set a habit of automatically turning off the lights at 10 pm every night, or the system may have found that the user likes to adjust the room temperature to a certain temperature at a fixed time every day.

[0034] Collect user demand information: user demand information can be collected in various ways, such as manually inputting instructions through a mobile app or issuing control commands through a voice assistant. These information reflect the user's immediate demand changes, such as suddenly wanting to adjust the indoor light brightness or color temperature.

[0035] Information analysis and processing: the cloud server comprehensively analyzes all the information received. Compare the current environmental data with the user's comfort preference, consider the user's demand information, and combine the user's historical habit data.

[0036] Generating Control Scheme: The server uses pre-set algorithms or rules to generate a smart home control scheme. If the current indoor temperature is too high, and the user habit information indicates that the user prefers a cooler environment, and the user demand information does not make special requirements, the control scheme may be to automatically turn on the air conditioner and adjust to the user's preferred temperature.

[0037] Issuing Control Instructions: Once the control scheme is determined, the cloud server will issue control instructions to the corresponding smart home devices through the wireless network. After the devices receive the instructions, they will perform corresponding operations such as adjusting the light, temperature, etc.

[0038] Feedback and Adjustment: After the control scheme is executed, the server will continue to receive feedback data from the environment detection module to evaluate the control effect. If the environmental parameters do not meet the expectations, the cloud server will adjust the scheme and reissue control instructions.

[0039] Through the above steps, the cloud server can intelligently generate and optimize the smart home control scheme according to the indoor environment, user habits and immediate needs, thereby improving the comfort and convenience of the user's living.

Claims

1. A big data based smart home control system characterized in that The application relates to a smart home control system, which comprises the following parts: An indoor environment detection module is used for collecting real-time environment information of an indoor environment where a controlled smart home is located, and uploading the collected environment information to a cloud server through a wireless network; The cloud server is used for receiving the environment information collected by the indoor environment detection module, combining preset user habit information and collected user demand information to generate a smart home control scheme, and downloading the smart home control scheme to a controller through the wireless network; The controller is used for receiving the smart home control scheme downloaded by the cloud server, generating a control command according to the smart home control scheme, and then sending the generated control command to the smart home through a wired network or a wireless network to control the smart home to work correspondingly; A mobile terminal is used for generating user demand information, uploading the demand information to the cloud server through the wireless network, uploading operation data of the smart home to the controller through the wired network or the wireless network, uploading the operation data of the smart home to the cloud server through the wireless network after the controller processes the operation data of the smart home, and sending the operation data of the smart home to the mobile terminal through the wireless network after the cloud server processes the operation data of the smart home, so that the operation data of the smart home can be displayed on the mobile terminal in real time.

2. The big data based smart home control system as claimed in claim 1, wherein, The indoor environment detection module comprises the following parts: A temperature and humidity sensor is used for monitoring the temperature and humidity of the indoor environment in real time, and the smart home control system automatically adjusts the working conditions of air conditioners and humidifiers according to the data to maintain the comfort of the indoor environment; An illumination intensity sensor is used for measuring the illumination intensity of the indoor environment, so that the lighting system and the smart curtain can be automatically adjusted, the light is automatically turned on when the light is insufficient, or the curtain is automatically adjusted to block the light when the light is too strong, so that energy can be saved and the living comfort can be improved; A gas concentration sensor is used for monitoring harmful gases in the indoor air, and the smart home control system triggers an alarm and automatically takes emergency measures as soon as abnormality is detected; A PM2.5 detection sensor is used for detecting the concentration of fine particles in the indoor environment, evaluating the indoor air quality, and adjusting the working state of an air purifier according to the detection data of the PM2.5 detection sensor to protect the health of the occupants; An infrared sensor is used for monitoring and tracking the human body, detecting the movement of the human body and the intrusion of strangers, so as to trigger the working of the smart light and the smart camera; A water immersion sensor is used for monitoring the water level and the water leakage in the indoor environment, and the smart home control system immediately closes the electromagnetic valve of the water source and sends an alarm to the user when water leakage is detected.

3. The big data based smart home control system as claimed in claim 1, wherein, The method for generating the smart home control scheme by the cloud server comprises the following steps: 1) Receiving environment information: the cloud server first receives real-time environment information collected by the indoor environment detection module through the wireless network; 2) Integrating user habit information: the cloud server stores user habit information, the user habit information is input through the mobile terminal or is obtained by analyzing historical behavior data of the user through a machine learning algorithm; 3) Collecting user demand information: the user inputs user demand information through the mobile terminal, and uploads the demand information to the cloud server through the wireless network, the user demand information is used for reflecting the immediate demand change of the user. 4) Information analysis and processing: the cloud server comprehensively analyzes all the received information, compares the current environmental data with the user's comfort preference, considers the user's demand information, and combines the user's historical habit data. 5) Generating control scheme: the cloud server generates an intelligent home control scheme using preset algorithms or rules. 6) Issuing control instructions: After the control scheme is generated, the cloud server issues control instructions to the corresponding intelligent home devices through a wireless network. The intelligent home devices execute corresponding operations after receiving the instructions. 7) Feedback and adjustment: After the control scheme is executed, the cloud server continues to receive feedback data from the environmental detection module to evaluate the control effect. If the environmental parameters do not meet the expectations, the cloud server adjusts the scheme and reissues control instructions, so that the generated control scheme meets the user's set requirements.

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