Indoor light integrated control system based on artificial intelligence

Abstract

The invention relates to the technical field of centralized control, in particular to an artificial intelligence-based indoor light integrated control system, which comprises the following modules, namely units: an intelligent wearable device module, in which family members wear intelligent wearable devices with built-in high-precision positioning chips, for acquiring position information in real time and sending the position information to a central control module; the central control module comprises a data acquisition unit used for acquiring time information, indoor natural light information, curtain state information, weather illumination information and standby personnel detection information; according to the scheme, the positions of family members are positioned in real time through the intelligent wearable device, multi-source information such as time, indoor natural light, curtain states and weather illumination is combined, and the central control module performs intelligent decision making by adopting a hybrid algorithm, so that accurate control on indoor light brightness, color temperature and curtain opening and closing is realized; and the brightness and color temperature of the light can be automatically adjusted in different time periods, different areas and different weather conditions so as to create a suitable atmosphere.

Description

Technical Field

[0001] The present invention relates to the field of centralized control technology, and in particular to an indoor lighting integrated control system based on artificial intelligence. Background Art

[0002] The indoor lighting integrated control system is a system used to centrally manage and control indoor lighting equipment. Its purpose is to provide residents with a comfortable, convenient and energy-saving lighting environment.

[0003] Traditional indoor lighting control systems mostly rely on manual operation or simple timing control, and cannot make intelligent adjustments based on the real-time location and activity of indoor occupants. For example, when people move between different areas, the lights cannot automatically switch to appropriate brightness and color temperature, and cannot meet personalized needs. In addition, environmental factors (such as natural light, weather, etc.) are not fully utilized, and the light brightness and curtain status cannot be dynamically adjusted according to natural light intensity and weather changes, which easily leads to energy waste.

[0004] To this end, the present invention proposes an indoor lighting integrated control system based on artificial intelligence, which obtains personnel location information through smart wearable devices, combines multi-source information such as time, indoor natural light, curtain status, and weather lighting, and uses the intelligent decision-making unit of the central control module to generate precise control instructions, thereby realizing personalized and intelligent control of indoor lights and curtains, effectively improving the comfort of the indoor environment, and achieving the goals of energy saving and efficient management. Summary of the invention

[0005] Technical problems solved: Most of them rely on manual operation or simple timing control and cannot be intelligently adjusted according to the real-time location and activities of indoor occupants.

[0006] In view of the deficiencies of the prior art, the present invention provides an indoor lighting integrated control system based on artificial intelligence, thereby solving the technical problems mentioned in the background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0008] An indoor lighting integrated control system based on artificial intelligence includes the following modules or units:

[0009] Smart wearable device module: Family members wear smart wearable devices with built-in high-precision positioning chips to obtain real-time location information and send it to the central control module;

[0010] Central control module, including:

[0011] Data collection unit, used to collect time information, indoor natural light information, curtain status information, weather and lighting information, and standby personnel detection information;

[0012] The intelligent decision-making unit generates lighting control instructions and curtain control instructions based on the collected multi-source information and adopts a hybrid algorithm based on rules and weights. It calculates the light brightness through a hybrid algorithm based on rules and weights, sets the light color temperature according to time, and controls the opening and closing of curtains based on natural light intensity and time.

[0013] The zoning unit allows users to input house drawings and mark the area usage to build indoor area maps;

[0014] Lighting control module, which receives lighting control instructions and adjusts the lighting brightness, color, and switch status;

[0015] The curtain control module receives curtain control instructions and controls the curtain motor to realize curtain operation.

[0016] In a possible implementation, the hybrid algorithm of the rule and weight defines a function L to calculate the light brightness, and the formula is as follows: L = α × (1-I norm )+β×(1-W)+γ×(1-C)+δ×f(t);

[0017] in:

[0018] The weather and lighting information is set to W, the curtain status is set to C, and the natural light intensity is set to I norm , α, β, γ, δ are weight coefficients, and f(t) is a function adjusted according to time, which is used to simulate people’s demand for light brightness in different time periods.

[0019] In one possible implementation, when it is detected that the device is not being worn, the system switches to a backup positioning and personnel detection mode.

[0020] Beneficial effects compared with the prior art:

[0021] 1. In this solution, the location of family members is located in real time through smart wearable devices. Combined with multi-source information such as time, indoor natural light, curtain status, and weather and light, the central control module uses a hybrid algorithm to make intelligent decisions, achieving precise control of indoor light brightness, color temperature, and curtain opening and closing. For example, in different time periods, different areas, and different weather conditions, the light brightness and color temperature are automatically adjusted to create a suitable atmosphere, such as simulating natural morning light in the bedroom in the early morning, adjusting lighting according to personnel activities and light during the day, and enhancing living room lighting in the evening and closing curtains in time. At the same time, the lighting can be automatically controlled according to the time members pass by or stay, which not only improves the user experience, but also creates a comfortable and convenient indoor environment for users, meeting personalized needs;

[0022] 2. In this solution, the light switches and brightness adjustment are automatically controlled by the indoor personnel activities and natural lighting conditions. For example, the lights are turned off when no one is in the rest area, and the brightness of the activity area is adjusted according to actual needs, which effectively avoids unnecessary energy waste and achieves the purpose of energy saving. The indoor area map constructed by the area demarcation unit provides an accurate basis for intelligent control, enabling the system to efficiently manage different areas and improve the management efficiency of the entire indoor lighting integrated control system. This combination of energy saving and environmental protection with efficient management helps to reduce energy consumption, improve resource utilization, conforms to the concept of sustainable development, and brings practical economic and environmental benefits to users. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0024] Figure 1 This is a system framework diagram of an indoor lighting integrated control system based on artificial intelligence. DETAILED DESCRIPTION

[0025] Preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the present invention can also be implemented in various forms, so the present invention is not limited to the embodiments described below.

[0026] The technical solution in the embodiment of the present application is to solve the problems of the above-mentioned background technology, and the overall idea is as follows:

[0027] Example:

[0028] Please refer to Figure 1 As shown, this embodiment introduces an indoor lighting integrated control system based on artificial intelligence, including the following modules and units:

[0029] 1. Smart wearable device module. Each family member wears a smart wearable device, such as a smart bracelet or smart watch. These devices have built-in high-precision positioning chips, which can accurately obtain the wearer's location information in real time and send the location data to the central control module through wireless communication technologies such as Bluetooth or Wi-Fi. When it is detected that the device is not worn, the system switches to the backup positioning and personnel detection mode;

[0030] Example: When a family member walks from the living room to the bedroom, the smart wearable device immediately senses the location change and sends the location information of "entering the bedroom" to the central control module;

[0031] 2. Central control module

[0032] 2.1 Data Acquisition Unit

[0033] Time information collection: By synchronizing with the system clock, the current accurate time is obtained in real time to distinguish different time periods, such as early morning, daytime, evening, night, etc.;

[0034] Indoor natural light information collection: Connect light sensors distributed in various areas to collect light intensity data at different locations indoors to evaluate indoor natural light conditions;

[0035] Curtain status monitoring: connected to the sensor installed on the curtain track, it can obtain the opening and closing status of the curtain in real time to determine whether the curtain is fully open, fully closed or in the middle;

[0036] Acquisition of weather and light information: Connect to a professional meteorological data platform through the Internet to obtain local weather information regularly, especially data on light intensity, weather conditions (sunny, cloudy, rainy, etc.);

[0037] Backup personnel detection information integration: When the smart wearable device is not worn, the central control module collects data from cameras distributed indoors (if any, they must follow the privacy protection principle and are only used for personnel detection), infrared sensors and other devices to determine the location of the person;

[0038] 2.2 Intelligent Decision-making Unit

[0039] Based on the collected multi-source information such as location, time, natural light, curtain status and weather lighting, corresponding lighting control instructions and curtain control instructions are generated according to different scenes and conditions, and these instructions are sent to the lighting control module and the curtain control module;

[0040] Express the time as the number of hours in a day (0-23), assuming that the time is t, and the value range is 0≤t≤23;

[0041] The indoor natural light intensity I collected by the light sensor natural Normalize it so that its value range is between 0 and 1. Suppose the original natural light intensity collected is I raw , the maximum possible light intensity in this area is I max (can be obtained through previous measurements or lamp specifications), then the normalized natural light intensity I norm for:

[0042] The weather and light information obtained from the meteorological data platform is quantified. For example, the sunny light value is 1, the cloudy light value is 0.5, and the rainy light value is 0.2, which is set as W;

[0043] Convert the curtain state (fully open, fully closed, partially open) into a numerical value. Assume that fully open is 1, fully closed is 0, and partially open takes a value between 0 and 1 according to the degree of opening and closing, denoted as C;

[0044] In summary, the intelligent decision-making adopts a hybrid algorithm based on rules and weights, and generates corresponding lighting control instructions and curtain control instructions according to different scenarios and conditions;

[0045] 2.2.1. Lighting brightness decision

[0046] Define a function L to calculate the lighting brightness. The formula is as follows: L = α×(1 - I norm ) + β×(1 - W) + γ×(1 - C) + δ×f(t);

[0047] Where:

[0048] α, β, γ, δ are weight coefficients, which are adjusted through experiments and user feedback to achieve the best lighting control effect. For example, during the day, the α weight may be larger, emphasizing the impact of natural light on lighting brightness; at night, the β weight is larger, highlighting the impact of time on lighting brightness;

[0049] f(t) is a function adjusted according to time, used to simulate people's demand for lighting brightness at different time periods. For example:

[0050] 2.2.2. Lighting color temperature decision

[0051] The adjustment of lighting color temperature can be set according to simple rules based on time and scene. For example:

[0052] Night (22 ≤ t ≤ 6): The color temperature is set to 2700K to create a warm and comfortable sleeping environment;

[0053] Early morning (6 < t < 8) and evening (18 ≤ t < 22): The color temperature is set to 3500K to simulate the change of natural light;

[0054] Daytime (8 ≤ t < 18): The color temperature is set to 4500K to provide bright and clear lighting;

[0055] 2.2.3. Curtain control decision

[0056] The curtain control decision is mainly based on the natural light intensity and time. Set a decision threshold T I (for example, 0.5). When I norm < T I and 8 ≤ t < 18, it means that the natural light is insufficient. If the curtain is not fully open (C < 1), then send an instruction to open the curtain, that is: if (I norm < T I)∧(8≤t<18)∧(C<1)then open curtain;

[0057] 2.2.4、Instruction Generation

[0058] According to the light brightness L, color temperature value and curtain control decision result obtained by the above calculation, corresponding control instructions are generated and sent to the light control module and the curtain control module;

[0059] For light brightness, the calculated L value is converted into a brightness control signal recognizable by the lamp. For example, if the brightness control range of the lamp is 0-100%, L×100% is sent to the light control module as a brightness instruction;

[0060] For light color temperature, the color temperature value set according to the rules is directly sent to the light control module;

[0061] According to the curtain control decision result, if it is determined that the curtain needs to be opened, an "open curtain" command is sent; if it is determined that the curtain needs to be closed, a "close curtain" command is sent; if it is determined that the curtain needs to be adjusted to a certain opening and closing degree, a corresponding opening and closing degree command is sent to the curtain control module;

[0062] 2.3. Regional demarcation unit

[0063] Allow users to input house drawings (support common image formats such as JPEG, PNG, etc.) and use specific tools on the system interface to mark the purpose of each area (rest area, activity area, washing area, and other subdivided areas). The system automatically identifies the spatial layout in the drawings and builds an indoor area map based on the area use information marked by the user. The map associates the location, shape, area, and other information of each area with the area use, providing a basis for subsequent location-based intelligent control.

[0064] Example: A user uploads a house floor plan, uses a drawing tool on the system interface to circle the bedroom area, and marks it as "rest area-bedroom". The system enters the geometric information of the area into the area map based on the user's mark. When the smart wearable device detects that a member has entered the area, the central control module can accurately identify and control the lights and curtains according to the rules of the rest area.

[0065] 3. The lighting control module receives the lighting control instructions from the central control module and accurately adjusts the brightness, color, switch status and other parameters of the lights in each area according to the instructions. The lighting control module supports multiple lighting control protocols to adapt to different types of smart lamps;

[0066] Example: After receiving the instruction from the central control module to "adjust the bedroom light brightness to 10% and the color temperature to 2700K", the lighting control module quickly performs corresponding operations on the bedroom lamps to create a warm sleeping environment lighting effect;

[0067] 4. The curtain control module receives the curtain control command sent by the central control module, drives the curtain motor, and realizes the opening, closing or adjustment of the curtain to the specified opening and closing degree. The curtain control module works closely with the curtain hardware equipment to ensure the accuracy and stability of the curtain operation;

[0068] Example: If the central control module issues a command to "fully open the living room curtains", the curtain control module immediately controls the motor of the living room curtains to operate, fully open the curtains, and increase the intake of natural light in the room.

[0069] In summary, an indoor lighting integrated control system based on artificial intelligence is specifically implemented as follows:

[0070] 1. Early morning scene (6:00-8:00)

[0071] 1.1. Rest area (bedroom)

[0072] Assumptions: The smart wearable device detects that the member is still in the bedroom, the time is 6:30 in the morning, the indoor natural light intensity is 50 lux (low), the curtains are closed, the weather is sunny, and the area division unit has identified the area as "rest area-bedroom";

[0073] System operation: Based on this information, the central control module decides to create a gradual awakening environment. It sends instructions to the lighting control module to slowly adjust the bedroom light brightness from 0% to 30%, and set the color temperature to 3500K (simulating natural morning light). At the same time, it sends instructions to the curtain control module to slowly open the curtains by 30% to allow more natural light to gradually enter the room.

[0074] 1.2. Activity area (living room)

[0075] Assumptions: The smart wearable device detects that someone enters the living room at 7:00, the natural light intensity in the living room is 80 lux, the curtains are closed, and the weather is cloudy. The area division unit confirms that the area is "activity area - living room";

[0076] System operation: The central control module determines that the brightness of the living room needs to be increased to meet daily activities. It instructs the lighting control module to adjust the brightness of the living room lights to 50% and keep the color temperature at 4000K. At the same time, considering the lack of natural light on cloudy days, it instructs the curtain control module to open the curtains completely to try to introduce more natural light.

[0077] 2. Daytime scene (8:00-18:00)

[0078] 2.1. Rest area (bedroom)

[0079] Assumptions: The smart wearable device shows that there is no one in the bedroom, the time is 10:00 am, the indoor natural light intensity is 400 lux (sufficient), the curtains are open, the weather is sunny, and the area division unit identifies the area as "rest area-bedroom";

[0080] System operation: After the central control module confirms that no one is there, it instructs the lighting control module to turn off the bedroom lights to save energy. At the same time, since there is sufficient natural light and the curtains are already open, there is no need to perform additional operations on the curtains.

[0081] 2.2. Activity area (kitchen)

[0082] Assumptions: The smart wearable device detects that a member is preparing lunch in the kitchen at 12:00, the natural light intensity in the kitchen is 200 lux (medium), the curtains are open, and the weather is cloudy. The area division unit determines that the area is "activity area-kitchen";

[0083] System operation: The central control module instructs the lighting control module to adjust the kitchen light brightness to 60% based on the member activities and lighting conditions to ensure that the cooking area has sufficient lighting. Since the natural light is sufficient and the curtains are open, the curtain status is not adjusted for the time being;

[0084] 2.3. Activity area (study room)

[0085] Assumptions: The member is working in the study room at 3:00 p.m., the natural light intensity in the study room is 150 lux (low), the curtains are half-open, the weather is cloudy, and the area division unit clearly defines the area as "activity area-study room";

[0086] System operation: The central control module decides to enhance the lighting in the study room. It sends a command to the light control module to adjust the brightness of the light in the study room to 70% and the color temperature to 4500K to improve concentration. At the same time, it instructs the curtain control module to open the curtains completely to make the best use of the limited natural light.

[0087] 2.4. Activity area (living room - passing by during the day)

[0088] Assumptions: The smart wearable device detects that a member passes by the living room at 2:00 p.m., the natural light intensity in the living room is 300 lux (sufficient), the curtains are fully open, the weather is sunny, and the area division unit confirms that the area is "activity area-living room";

[0089] System operation: Since there is sufficient natural light at this time and the member is just passing by, the central control module instructs the lighting control module to adjust the originally off or low-brightness lights to 20% brightness to provide basic guiding lighting, and the color temperature is maintained at 4500K. After the member leaves the living room for a period of time (such as 30 seconds), if it is detected that there is no one in the living room, the lights will automatically return to the original state or turn off;

[0090] 3. Evening scene (18:00-20:00)

[0091] 3.1. Activity area (living room)

[0092] Assumptions: Family members gather in the living room at 18:30, the natural light intensity in the living room is 80 lux (rapidly decreasing), the curtains are open, and the weather is sunny. The area division unit identifies the area as "activity area - living room";

[0093] System operation: The central control module realizes that natural light is rapidly decreasing and that indoor lighting needs to be enhanced. It instructs the lighting control module to gradually adjust the brightness of the living room light from the current 30% to 60%, with the color temperature maintained at 4000K. Considering that the sun is about to set and the value of natural light utilization is reduced, the curtain control module is instructed to close the curtains to prevent external light from interfering with indoor activities.

[0094] 3.2. Washing area (main bathroom)

[0095] Assumptions: A member enters the main bathroom to wash at 19:00, the natural light intensity in the main bathroom is 30 lux (very weak), the curtains are closed, and the weather is cloudy. The area division unit identifies the area as "washing area-main bathroom";

[0096] System operation: The central control module instructs the lighting control module to adjust the main bathroom light brightness to 50% based on the member's position and lighting conditions to meet the needs of washing. Since the curtains are closed and the natural light is weak, there is no need to adjust the curtain status;

[0097] 4. Night scene (20:00-6:00 the next day)

[0098] 4.1. Rest area (bedroom)

[0099] Assumptions: The member is ready to rest and enters the bedroom. The time is 22:00, the indoor natural light intensity is 0lux, the curtains are closed, and the weather is rainy. The area division unit determines that the area is "rest area-bedroom";

[0100] System operation: The central control module instructs the lighting control module to adjust the bedroom light brightness to 10% and the color temperature to 2700K to create a comfortable sleeping environment; since it is night and the curtains are closed, there is no need to operate the curtains;

[0101] 4.2. Activity area (living room)

[0102] Assumptions: If no one is in the living room, the time is 23:00, the indoor natural light intensity is 0lux, the curtains are closed, and the weather is cloudy, the area division unit determines that the area is "activity area-living room";

[0103] System operation: The central control module instructs the lighting control module to turn off all lights in the living room to save energy. At the same time, since the curtains are closed, the current state is maintained;

[0104] 4.3. Activity area (living room - passing by at night)

[0105] Assumptions: The smart wearable device detects that a member passes by the living room at night. The time is 2:00 a.m., the indoor natural light intensity is 0 lux, the curtains are closed, and the weather is cloudy. The area division unit confirms that the area is "activity area-living room";

[0106] System operation: The central control module instructs the lighting control module to adjust the brightness of the living room lights to 10% and the color temperature to 2700K, providing soft guiding light to avoid strong light stimulation affecting sleep. After the members leave the living room for a period of time (such as 30 seconds), if it is detected that there is no one in the living room, the lights will automatically turn off;

[0107] Finally, it should be noted that: Obviously, the above embodiments are only examples for clearly explaining the present invention, and are not intended to limit the implementation methods. For ordinary technicians in the relevant field, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived from this are still within the scope of protection of the present invention.

Claims

1. An indoor lighting integrated control system based on artificial intelligence, characterized in that: It includes the following modules or units: Smart wearable device module: Family members wear smart wearable devices with built-in high-precision positioning chips to obtain real-time location information and send it to the central control module; Central control module, including: Data collection unit, used to collect time information, indoor natural light information, curtain status information, weather and lighting information, and standby personnel detection information; The intelligent decision-making unit generates lighting control instructions and curtain control instructions based on the collected multi-source information and adopts a hybrid algorithm based on rules and weights. It calculates the light brightness through a hybrid algorithm based on rules and weights, sets the light color temperature according to time, and controls the opening and closing of curtains based on natural light intensity and time. The zoning unit allows users to input house drawings and mark the area usage to build indoor area maps; Lighting control module, which receives lighting control instructions and adjusts the lighting brightness, color, and switch status; The curtain control module receives curtain control instructions and controls the curtain motor to realize curtain operation.

2. An indoor lighting integrated control system based on artificial intelligence as claimed in claim 1, characterized in that: The hybrid algorithm of the above formula and weight defines a function L to calculate the light brightness, the formula is as follows: L = α × (1-I norm )+β×(1-W)+γ×(1-C)+δ×f(t); in: The weather and lighting information is set to W, the curtain status is set to C, and the natural light intensity is set to I norm , α, β, γ, δ are weight coefficients, and f(t) is a function adjusted according to time, which is used to simulate people’s demand for light brightness in different time periods.

3. The indoor lighting integrated control system based on artificial intelligence as claimed in claim 1, characterized in that: When it is detected that the device is not being worn, the system switches to the backup positioning and personnel detection mode.

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