Lighting control system based on smart home

Abstract

The present invention discloses a lighting control system based on smart home, relates to the technical field of smart home, and solves the technical problem that in the lighting control process of the prior art, the lighting control cannot be realized according to the empirical data, resulting in the delay of the lighting control and not conforming to the user's habits; the present invention collects the identity data and the lighting status of the corresponding area through the data acquisition module; the server determines the lighting habits of the corresponding user according to the historical lighting data, and then generates the lighting control strategy, and the execution control module controls the lighting status of the corresponding area in time according to the lighting control strategy, so as to improve the lighting control efficiency and ensure the user's comfort; the present invention generates the lighting control strategy according to the lighting habits of the target user, and the lighting control strategy is updated at any time according to the increase or decrease of the target user and sent to the execution control module, so as to improve the comfort of the target user as much as possible while meeting the lighting needs of all the target users in the corresponding area.

Description

Technical Field

[0001] The present invention belongs to the field of smart home and relates to a lighting control technology in a smart home, in particular to a lighting control system based on a smart home. Background Art

[0002] Smart home plays a vital role in improving people's living standards. Lighting control system is an indispensable part of smart home, but the current lighting control system still cannot meet the requirements of advanced functions, high reliability and intelligence.

[0003] The prior art (invention patent with publication number CN107197581A) discloses a smart home lighting control method, a lighting system and a lighting control system used therein, which can automatically turn off the lights when people fall asleep or are not in use, thereby realizing intelligent lighting control. In the lighting control process, the prior art cannot realize lighting control based on empirical data, resulting in delays in lighting control and not conforming to user habits; therefore, there is an urgent need for a lighting control system based on smart homes. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a lighting control system based on smart home, which is used to solve the technical problems that the prior art cannot control the lighting according to empirical data during the lighting control process, resulting in delays in lighting control and not conforming to user habits.

[0005] The present invention collects identity data and the lighting status of the corresponding area through a data collection module; the server determines the lighting habits of the corresponding user based on the historical lighting data, and then generates a lighting control strategy, and the execution control module controls the lighting status of the corresponding area in time according to the lighting control strategy, thereby improving the lighting control efficiency and ensuring the user's comfort.

[0006] To achieve the above-mentioned object, a first aspect of the present invention provides a lighting control system based on smart home, comprising a server, and a data acquisition module and an execution control module connected thereto;

[0007] Data collection module: collects the user's identity data through the identity recognition device; and obtains the lighting status of the corresponding area according to the user's position; wherein the user's position is obtained according to the position detection device;

[0008] Server: collects and stores user feature information and corresponding historical lighting data, and determines the lighting habits of the corresponding user based on the historical lighting data; and

[0009] The identity data is compared with the user characteristic information, the comparison result is combined with the lighting habit to generate a lighting control strategy, and the lighting state is controlled by the execution control module.

[0010] Preferably, the server communicates and / or is electrically connected to the data acquisition module and the execution control module respectively; the execution control module communicates and / or is electrically connected to the data acquisition module;

[0011] The data acquisition module communicates and / or is electrically connected with the identity recognition device and the position detection device; wherein the identity recognition device includes an intelligent terminal and a biometric recognition device, and the position detection device includes an infrared sensor and a pressure sensor.

[0012] Preferably, before the data acquisition module acquires the identity data of the user, a user identification tag is acquired through the position detection device, and the lighting is adjusted in a standard manner according to the user identification tag, including:

[0013] Collecting indoor information through the position detection device and sending the indoor information to the data acquisition module;

[0014] The data acquisition module identifies and analyzes the indoor information, and when there is a user in the corresponding area, the user identification tag is marked as 1; otherwise, the user identification tag is marked as 0;

[0015] When the user identification tag is 1, the light is adjusted in a standard manner through the execution control module; wherein the standard adjustment refers to turning on the lamp and adjusting the brightness to the set standard brightness.

[0016] Preferably, before the server analyzes the identity data, the user characteristic information is collected by the biometric identification device under the administrator's authority, and the corresponding historical light data is collected according to the user characteristic information.

[0017] Preferably, the server analyzes the historical lighting data to obtain the corresponding lighting habits, including:

[0018] Extracting the historical lighting data corresponding to the user characteristic data;

[0019] Dividing the historical lighting data into a plurality of sub-data on a daily basis;

[0020] When the number of the sub-data meets the requirement, a number of the sub-data are analyzed in different time periods to obtain the corresponding lighting habits; wherein the lighting habits include the on / off status of the lamp, the duration of the lamp on, and the corresponding brightness of the lamp on.

[0021] Preferably, the server performs time-division analysis on the plurality of sub-data, including:

[0022] Segmenting the plurality of sub-data according to a set period to obtain segmented data;

[0023] The segmented data is counted according to the set period to obtain the state frequency corresponding to each light state; wherein the light state includes the on / off state of the lamp and the corresponding on brightness;

[0024] When the state frequency is greater than or equal to the frequency threshold, the corresponding light state is marked as the target state; wherein the frequency threshold is set according to a set period;

[0025] The target state is extracted and serially connected to generate the lighting habit.

[0026] Preferably, the server compares the identity data with the user feature data and generates the lighting control strategy according to the comparison result, including:

[0027] The server receives the identity data in real time, compares the identity data with the stored user feature data to determine the corresponding user, and marks the user as a target user;

[0028] The lighting habits corresponding to the target users are integrated and spliced ​​to generate the lighting control strategy.

[0029] Preferably, the server sends the lighting control strategy to the execution control module;

[0030] The execution control module timely controls the lighting status of the corresponding area according to the lighting control strategy, and monitors and feeds back the lighting control result to the server.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] 1. The present invention collects identity data and the lighting status of the corresponding area through a data collection module; the server determines the lighting habits of the corresponding user based on the historical lighting data, and then generates a lighting control strategy, and the execution control module controls the lighting status of the corresponding area in time according to the lighting control strategy, thereby improving the lighting control efficiency and ensuring the user's comfort.

[0033] 2. The present invention generates a lighting control strategy based on the lighting habits of the target users, and the lighting control strategy is updated at any time according to the increase or decrease of the target users and sent to the execution control module, so as to improve the comfort of the target users as much as possible while meeting the lighting needs of all target users in the corresponding area. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0035] Figure 1 It is a schematic diagram of the working steps of the present invention. DETAILED DESCRIPTION

[0036] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] The prior art (invention patent with publication number CN107197581A) discloses a smart home lighting control method, a lighting system and a lighting control system used therein, which can automatically turn off the lights when people fall asleep or are not in use, thereby realizing intelligent lighting control. In the lighting control process, the prior art cannot realize lighting control based on empirical data, resulting in delays in lighting control and not conforming to user habits.

[0038] The present invention collects identity data and the lighting status of the corresponding area through a data collection module; the server determines the lighting habits of the corresponding user based on the historical lighting data, and then generates a lighting control strategy, and the execution control module controls the lighting status of the corresponding area in time according to the lighting control strategy, thereby improving the lighting control efficiency and ensuring the user's comfort.

[0039] See also Figure 1 , the first embodiment of the present application provides a lighting control system based on smart home, including a server, and a data acquisition module and an execution control module connected thereto;

[0040] Data collection module: collects user identity data through identity recognition equipment; and obtains the lighting status of the corresponding area according to the user's location;

[0041] Server: Collect and store user feature information and corresponding historical lighting data, and determine the corresponding user's lighting habits based on the historical lighting data; compare the identity data with the user feature information, combine the comparison results with the lighting habits to generate a lighting control strategy, and control the lighting status through the execution control module.

[0042] The server in this application can be understood as a central controller, which can be a separate controller or integrated with other devices or software. The data acquisition module is a data transfer station with data processing capabilities. After collecting the data, it performs necessary processing and then sends it to the server for unified analysis.

[0043] In the present application, the server communicates and / or is electrically connected to the data acquisition module and the execution control module respectively; the execution control module communicates and / or is electrically connected to the data acquisition module. It is understandable that in some scenarios, the data acquisition module will generate control instructions after processing the data and send them directly to the execution control module.

[0044] In this application, the data acquisition module communicates and / or is electrically connected with the identity recognition device and the position detection device. The identity recognition device is set according to the specific identity recognition method. For example, facial recognition requires a camera, and fingerprint recognition requires a fingerprint collection and recognition device. The identity recognition device should be set in a convenient location for collection, such as the outside of the door, the ceiling, etc. The position detection device is also set according to the detection method. For example, infrared detection requires an infrared sensor, and pressure recognition requires a pressure sensor.

[0045] Before the data collection module collects the user's identity data, the application obtains the user identification tag through the position detection device, and performs standard adjustment on the light according to the user identification tag, including:

[0046] Collect indoor information through the location detection device and send the indoor information to the data acquisition module;

[0047] The data collection module identifies and analyzes the indoor information. When there is a user in the corresponding area, the user identification tag is marked as 1; otherwise, the user identification tag is marked as 0;

[0048] When the user identification tag is 1, the lighting is adjusted in a standard manner through the execution control module.

[0049] The above-mentioned "before collecting the user's (valid) identity data" includes not collecting the user's identity data, or the collected identity data is unavailable. When no valid identity data is collected, it is necessary to determine whether there is a user, and if there is a user, the light needs to be adjusted in a standard manner.

[0050] It is worth noting that when there are users indoors, standard lighting adjustments have two functions: 1) adjusting ambient light to ensure that valid user identity data can be collected; 2) providing lighting for users to ensure their safety.

[0051] It is understandable that the above-mentioned standard adjustment of the light refers to adjusting the area light at the user's location, and the standard adjustment will continue towards the user's location. Standard adjustment in this application refers to turning on the lamp and adjusting the brightness to the standard brightness, which is a brightness value set according to the environment and experience. In some other preferred embodiments, the standard adjustment can also be to adjust the brightness of the lamp that has been turned on, such as turning the brightness up or down, in order to achieve the above two effects.

[0052] Before the server analyzes the identity data, this application collects user feature information under the administrator's authority through the biometric device, and collects the corresponding historical lighting data based on the user feature information. That is, the user (household head) now collects and saves the feature information of family members in the server to facilitate later data collection and lighting adjustment.

[0053] In this application, the server analyzes historical lighting data to obtain corresponding lighting habits, including:

[0054] Extract historical lighting data corresponding to user feature data;

[0055] Divide historical lighting data into several sub-data by day;

[0056] When the number of sub-data meets the requirement, several sub-data are analyzed in different time periods to obtain the corresponding lighting habits.

[0057] After setting the user characteristic information, the server continuously collects historical lighting data corresponding to the user characteristic information through the data collection module, and then analyzes sufficient historical lighting data to determine the corresponding lighting habits.

[0058] This application determines the collection cycle by day, and the historical lighting data collected every day is used as a sub-data. When the number of sub-data reaches the required number, several sub-data can be analyzed to determine the corresponding lighting habits. It can be understood that the larger the number of sub-data, the better the fit of the lighting habits can be ensured, but the number of sub-data is not less than 30, that is, at least 30 consecutive days of collection can be used to determine the lighting habits.

[0059] It can be understood that lighting habits include the on and off status of lamps, the duration of lamp on-time and the corresponding brightness; lighting habits are used to express the user's lighting usage habits, such as when to turn on the lamps and to what brightness they are adjusted.

[0060] When the number of sub-data meets the requirement, the server analyzes the sub-data by time period, including:

[0061] Segmenting a number of sub-data according to a set period to obtain segmented data;

[0062] Perform statistics on the segmented data according to the set period to obtain the state frequency corresponding to each light state;

[0063] When the state frequency is greater than or equal to the frequency threshold, the corresponding light state is marked as the target state;

[0064] The target states are extracted and serialized to generate lighting habits.

[0065] The application of time-division analysis of several sub-data is essentially to analyze the lighting usage data of the same user at different time periods every day. The following examples illustrate this technical solution:

[0066] Assume there are 30 sub-data in total, the frequency threshold is 15, and each day is divided into 12 time periods (every two hours as a time period);

[0067] Divide each sub-data into 12 time periods and extract the lighting status in each time period;

[0068] Count the frequency corresponding to the light state in each time period, that is, the state frequency;

[0069] When the state frequency is greater than or equal to 15, the corresponding light state is marked as the target state;

[0070] The target states corresponding to each time period of the day are stitched together in sequence to form the user's lighting habits.

[0071] The lighting state of this application includes the on / off state of the lamp and the corresponding brightness. It is understandable that the smaller the time period, the more accurate the lighting habits obtained; when obtaining the state frequency corresponding to the lighting state in the above scheme, only the on / off state of the lamp can be considered. When the frequency of the lamp turning on in the time period is greater than or equal to 0.5, the most commonly used brightness or standard brightness is selected to form the target state.

[0072] In this application, the server compares the identity data and the user feature data, and generates a lighting control strategy based on the comparison results, including:

[0073] The server receives the identity data in real time, compares the identity data with the stored user feature data to determine the corresponding user, and marks it as the target user;

[0074] Integrate and splice the lighting habits of target users to generate a lighting control strategy.

[0075] This application compares the collected identity data with the user feature data stored in the server, determines the target user, integrates the user's lighting habits, and generates a lighting control strategy. It can be understood that there is not necessarily only one target user, and the lighting habits of multiple target users can be combined to generate a lighting control strategy; it can also be considered that when there is only one target user, the lighting habit corresponding to the target user is the lighting control strategy.

[0076] The server sends the lighting control strategy to the execution control module; the execution control module promptly controls the lighting status of the corresponding area according to the lighting control strategy, and monitors and feeds back the lighting control results to the server.

[0077] It can be understood that identity data is collected in real time, and if the number of users increases or decreases, the corresponding increase or decrease will be updated in the generated lighting control strategy, and the updated lighting control strategy will be sent to the execution control module; when the lighting habits of multiple users conflict at the same time, the standard value will be selected to replace it, such as the standard brightness.

[0078] It is worth noting that if the user is a friend or colleague of the householder, that is, the server does not store relevant characteristic information of the user, the brightness of the lamp will adopt the standard brightness.

[0079] Working principle of the present invention:

[0080] The data acquisition module collects the user's identity data through the identity recognition device connected to it; and obtains the lighting status of the corresponding area according to the user's location.

[0081] The server compares the identity data and user feature information, combines the comparison results with lighting habits to generate a lighting control strategy, and controls the lighting status through the execution control module.

[0082] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A lighting control system based on smart home, including a server, a data acquisition module and an execution control module connected thereto, characterized in that: Data collection module: collects the user's identity data through the identity recognition device; and obtains the lighting status of the corresponding area according to the user's position; wherein the user's position is obtained according to the position detection device; Server: collects and stores user feature information and corresponding historical lighting data, and determines the lighting habits of the corresponding user based on the historical lighting data; and Comparing the identity data with the user characteristic information, combining the comparison result with the lighting habit to generate a lighting control strategy, and controlling the lighting state through the execution control module; The server analyzes the historical lighting data to obtain the corresponding lighting habits, including: Extracting the historical lighting data corresponding to the user characteristic data; Dividing the historical lighting data into a plurality of sub-data on a daily basis; When the number of sub-data meets the requirement, a number of the sub-data are analyzed in different time periods to obtain the corresponding lighting habits; wherein the lighting habits include the on / off state of the lamp, the on-time of the lamp, and the corresponding on-brightness; The server performs time-division analysis on the plurality of sub-data, including: Segmenting the plurality of sub-data according to a set period to obtain segmented data; The segmented data is counted according to the set period to obtain the state frequency corresponding to each light state; wherein the light state includes the on / off state of the lamp and the corresponding on brightness; When the state frequency is greater than or equal to the frequency threshold, the corresponding light state is marked as the target state; wherein the frequency threshold is set according to a set period; The target state is extracted and serially connected to generate the lighting habit.

2. The lighting control system based on smart home according to claim 1 is characterized in that: The server communicates and / or is electrically connected to the data acquisition module and the execution control module respectively; the execution control module communicates and / or is electrically connected to the data acquisition module; The data acquisition module communicates and / or is electrically connected with the identity recognition device and the position detection device; wherein the identity recognition device includes an intelligent terminal and a biometric recognition device, and the position detection device includes an infrared sensor and a pressure sensor.

3. The lighting control system based on smart home according to claim 1 is characterized in that: Before the data collection module collects the identity data of the user, the user identification tag is obtained through the position detection device, and the light is adjusted in a standard manner according to the user identification tag, including: Collecting indoor information through the position detection device and sending the indoor information to the data acquisition module; The data acquisition module identifies and analyzes the indoor information, and when there is a user in the corresponding area, the user identification tag is marked as 1; otherwise, the user identification tag is marked as 0; When the user identification tag is 1, the light is adjusted in a standard manner through the execution control module; wherein the standard adjustment refers to turning on the lamp and adjusting the brightness to the set standard brightness.

4. The lighting control system based on smart home according to claim 2 is characterized in that: Before the server analyzes the identity data, the user feature information is collected under the administrator's authority through the biometric identification device, and the corresponding historical light data is collected according to the user feature information.

5. The lighting control system based on smart home according to claim 1, characterized in that: The server compares the identity data with the user feature data and generates the lighting control strategy according to the comparison result, including: The server receives the identity data in real time, compares the identity data with the stored user feature data to determine the corresponding user, and marks the user as a target user; The lighting habits corresponding to the target users are integrated and spliced ​​to generate the lighting control strategy.

6. The lighting control system based on smart home according to claim 1 or 5, characterized in that: The server sends the lighting control strategy to the execution control module; The execution control module timely controls the lighting status of the corresponding area according to the lighting control strategy, and monitors and feeds back the lighting control result to the server.

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