CN108833220A - A smart home user behavior analysis system based on big data - Google Patents

Abstract

The invention discloses an intelligent home user behavior analysis system based on big data in the technical field of intelligent home, which comprises a network background server, an image display subsystem, a data storage module and a home control subsystem, the behavior instruction learning module is electrically and bidirectionally connected with the behavior instruction data storage module, the WIFI wireless communication module is electrically and bidirectionally connected with the mobile terminal, the network background server is respectively and electrically connected with the image display subsystem, the data storage module and the household control subsystem, the intelligent household user behavior analysis system based on big data has reasonable design and strong practicability, can learn, imitate and record the habit instructions of the user according to the long-term behavior habit of the user, the system can accurately predict the behaviors of the user, and can adjust the intelligent home to the state of the habit of the user when the user controls the functional home to start again later.

Description

A smart home user behavior analysis system based on big data

technical field

The invention relates to the technical field of smart home, in particular to a big data-based smart home user behavior analysis system.

Background technique

With the development of Internet of Things technology, big data computing, sensor technology and other technologies, as a manifestation of the Internet of Things under the influence of the Internet, smart homes are closer to human life. Smart home connects various devices in the home through the Internet of Things technology, provides residents with a full range of information interaction functions, and saves money on various energy costs. In my country, smart home is in a stage of rapid development. Smart home manufacturers are paying more and more attention to the research of the industry market, especially the in-depth research on the development environment of enterprises and changes in customer demand trends. A large number of domestic excellent smart home brands are rapidly developing. rise. However, at present, the smart home cannot reflect its "intelligence" very well, the prediction of user behavior is not accurate enough, and it is impossible to formulate a scientific and reasonable life plan for the user based on the specific situation of the user, which also limits the smart home to a certain extent. Therefore, how to invent a smart home user behavior analysis system based on big data is an urgent problem to be solved by those skilled in the art.

Contents of the invention

The purpose of the present invention is to provide a smart home user behavior analysis system based on big data to solve the problem that the current smart home cannot reflect its "intelligence" well and the prediction of user behavior is not accurate enough. The inability to formulate a scientific and reasonable life plan for users based on the specific situation of users also limits the development of smart homes to a certain extent.

In order to achieve the above object, the present invention provides the following technical solutions: a smart home user behavior analysis system based on big data, including a network background server, an image display subsystem, a data storage module and a home control subsystem, and the network background servers are respectively The client login unit, the behavior instruction learning module and the WIFI wireless communication module are electrically bidirectionally connected, the behavior instruction learning module is electrically bidirectionally connected to the behavior instruction data storage module, and the WIFI wireless communication module is electrically bidirectionally connected to the mobile terminal. The network background server is electrically connected to the image display subsystem, the data storage module and the home control subsystem respectively. The drive module, the home control subsystem includes a main control processor, the main control processor is electrically input and connected to the instruction receiving module, the main control processor is electrically output connected to the smart home drive module, and the smart home drive module Electrical output connected to smart home;

The network background server provides external signal connection, website login, data reception and transmission, and instruction reception and transmission through the network;

The client login unit is used for the user to log in with a user name and password through a mobile terminal, so as to ensure that each user logs in to a different account through a different mobile terminal;

The behavior instruction learning module is used to systematically learn the user's instruction operation on the smart home;

The WIFI wireless communication module is used to establish a network connection between the network server and the mobile terminal;

The behavior instruction data storage module is used for storing the data after the behavior instruction learning module learns distribution;

The image display subsystem is used to display instruction data images;

The data storage module is used to store the instruction data sent by the user through the mobile terminal;

The home control subsystem is used to receive instructions from the network background server, and control and operate related smart homes.

Preferably, the mobile terminal is a mobile phone, a laptop computer or a tablet computer.

Preferably, the dot matrix display panel is an LED dot matrix display panel.

Preferably, the smart home includes smart TVs, smart air conditioners, smart refrigerators, smart lights, smart speakers, smart air purifiers, and the like.

Compared with the prior art, the beneficial effect of the present invention is: the smart home user behavior analysis system based on big data is reasonable in design and strong in practicability, and can learn, imitate and record the user's long-term behavior habits Instructions to accurately predict the user's behavior, and when the user starts to control the functional home again in the future, the system can adjust the smart home to the state that the user is accustomed to.

Description of drawings

Fig. 1 is a functional block diagram of the system of the present invention;

Fig. 2 is a functional block diagram of the image display subsystem of the present invention;

Fig. 3 is a functional block diagram of the home control subsystem of the present invention.

In the figure: 1 network background server, 2 client login unit, 3 behavior command learning module, 4WIFI wireless communication module, 5 behavior command data storage module, 6 mobile terminal, 7 image display subsystem, 8 data storage module, 9 home control Subsystem, 10 dot matrix display boards, 11 row driver modules, 12 column driver modules, 13 main control processors, 14 command receiving modules, 15 smart home driver modules, 16 smart home.

Detailed ways

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 some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Please refer to Figures 1-3, the present invention provides a technical solution: a smart home user behavior analysis system based on big data, including a network background server 1, an image display subsystem 7, a data storage module 8 and a home control subsystem 9 , the network background server 1 is electrically bidirectionally connected to the client login unit 2, the behavior instruction learning module 3 and the WIFI wireless communication module 4, the behavior instruction learning module 3 is electrically bidirectionally connected to the behavior instruction data storage module 5, and the The WIFI wireless communication module 4 is electrically bidirectionally connected to the mobile terminal 6, and the network background server 1 is respectively electrically output and connected to the image display subsystem 7, the data storage module 8 and the home control subsystem 9, and the image display subsystem 7 includes point An array display board 10, the dot matrix display board 10 is respectively electrically connected to a row driver module 11 and a column driver module 12, and the home control subsystem 9 includes a main control processor 13, and the main control processor 13 is electrically connected The input connection command receiving module 14, the main control processor 13 is electrically output and connected to the smart home driving module 15, and the smart home driving module 15 is electrically output and connected to the smart home 16;

The network background server 1 provides external signal connection, website login, data reception and transmission, and instruction reception and transmission through the network;

The client login unit 2 is used for the user to log in with a user name and a password through the mobile terminal 6, so as to ensure that each user logs in different accounts through different mobile terminals 6;

The behavior command learning module 3 is used to systematically learn the user's command operation to the smart home;

The WIFI wireless communication module 4 is used for the network server 1 to establish a network connection with the mobile terminal 6;

The behavior instruction data storage module 5 is used to store the data after the behavior instruction learning module 13 learns distribution;

The image display subsystem 7 is used to display instruction data images;

The data storage module 8 is used to store the instruction data sent by the user through the mobile terminal 6;

The home control subsystem 9 is used to receive instructions from the network background server 1 and control and operate related smart homes.

Wherein, the mobile terminal 6 is a mobile phone or a laptop computer or a tablet computer, the dot matrix display board 10 is an LED dot array display board, and the smart home 16 includes a smart TV, a smart air conditioner, a smart refrigerator, a smart lamp, a smart Audio, smart air purifier, etc.

Specifically, when in use, the user establishes a signal connection between the mobile terminal 6 and the network background server 1 through the WIFI wireless communication module 4, and then the user logs in to the smart home control webpage through the mobile terminal 6 to log in with an account number and password. At this time, the client login unit 2 Receive the customer account login information and confirm the user information. Taking air conditioner control as an example: when the user sends instructions such as air conditioner opening and temperature adjustment through the smart home control webpage on the mobile terminal 6, the network background server 1 receives the mobile terminal 6 at this time. Instructions issued, the network background server 1 first stores the instruction data in the data storage module 8, and then sends the instructions to the behavior instruction learning module 3, the image display subsystem 7 and the home control subsystem 9, and the behavior instruction learning module 3 Learn and record the user's instructions, and transmit the data of the learning records to the behavior instruction data storage module 5 for storage. The image display subsystem 7 displays the on-state and temperature value of the air conditioner, and the home control subsystem 9 controls the start of the air conditioner. And adjust the temperature of the air conditioner to the temperature value required by the user. When the user needs to control the opening and temperature adjustment of the air conditioner next time, the system repeats the above operations. If things go on like this, when the user needs to turn on the air conditioner again, the network background server 1 Directly retrieve the behavior habit data about the user's control of the air-conditioning temperature stored in the behavior command data storage module 5, and after analyzing the behavior habit data, the network background server 1 directly sends an air-conditioning temperature adjustment command to the home control subsystem 9, and the air-conditioning temperature Adjust the temperature to which the user is accustomed.

Although the embodiments of the present invention have been shown and described, those skilled in the art can understand that various changes, modifications and substitutions can be made to these embodiments without departing from the principle and spirit of the present invention. and modifications, the scope of the invention is defined by the appended claims and their equivalents.

Claims (4)

1. a kind of smart home user behavior analysis system based on big data, including net background server (1), image are shown Subsystem (7), data memory module (8) and home control subsystem (9), it is characterised in that：The net background server (1) It is electrically bi-directionally connected client respectively and logs in unit (2), behavior command study module (3) and WIFI wireless communication module (4), institute It states behavior command study module (3) to be electrically bi-directionally connected behavior command data memory module (5), the WIFI wireless communication module (4) it is electrically bi-directionally connected mobile terminal (6), electrically output connects image display subsystem to the net background server (1) respectively (7), data memory module (8) and home control subsystem (9), described image display subsystem (7) includes lattice display panel (10), electrically input connects row drive module (11) and column drive module (12), the family to the lattice display panel (10) respectively Occupying control subsystem (9) includes main processing controller (13), and electrically input link order receives the main processing controller (13) Module (14), the main processing controller (13) electrically output connection smart home drive module (15), the smart home drive Dynamic model block (15) electrically output connection smart home (16)；

The net background server (1) is externally provided signal connection, website log, data receiver and transmission and is referred to by network Order sends and receivees；

The client logs in unit (2) and carries out username and password login by mobile terminal (6) for user, guarantees each use Family logs in different accounts by different mobile terminals (6)；

The behavior command study module (3) operates the instruction of smart home for systematic learning user；

The WIFI wireless communication module (4) is established for network server (1) and mobile terminal (6) and is connected to the network；

The behavior command data memory module (5) is used to store the data after behavior command study module (13) study distribution；

Described image display subsystem (7) is used for idsplay order data image；

The data memory module (8) is used to store user and passes through the director data that mobile terminal (6) issue；

The home control subsystem (9) is used to receive the instruction of net background server (1) sending, and controls the related intelligence of operation It can household.

2. a kind of smart home user behavior analysis system based on big data according to claim 1, it is characterised in that： The mobile terminal (6) is mobile phone or laptop computer or tablet computer.

3. a kind of smart home user behavior analysis system based on big data according to claim 1, it is characterised in that： The lattice display panel (10) is LED lattice array display board.

4. a kind of smart home user behavior analysis system based on big data according to claim 1, it is characterised in that： The smart home (16) includes intelligent TV set, intelligent air condition, intelligent refrigerator, intelligent lamp, intelligent sound, intelligent air purifying Device etc..