Intelligent LED lamp strip adaptive dimming system based on wireless communication and control method thereof

Abstract

The invention discloses an intelligent LED lamp strip self-adaptive dimming system based on wireless communication and a control method thereof, and relates to the technical field of artificial intelligence, and the system comprises a multi-scene cooperation end, a dynamic change end and a self-adaptive regulation and control end. The multi-scene collaboration end is used for intelligently segmenting the LED lamp strip to realize a collaboration effect of intelligent control of the lamp strip; the dynamic change end is used for adjusting the illumination angle and width of the LED lamp strip in real time by combining noise recognition, image recognition and environmental influence, and combining the dynamic change of a scene during automatic adjustment; and the self-adaptive regulation and control end is used for receiving the dynamic change of the scene in real time to meet the intelligent change of the lamp strip at any time length in different scenes. According to the intelligent LED lamp strip self-adaptive dimming system based on wireless communication and the control method thereof, the synergistic effect of intelligent control of the lamp strip is achieved, the real-time adjustment of the illumination angle and width of the LED lamp strip is achieved, and the real-time meeting of the self-adaptive dynamic requirement is further achieved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to an intelligent LED light strip adaptive dimming system based on wireless communication and a control method thereof. Background Art

[0002] Adaptive dimming of smart LED light strips based on wireless communication is an intelligent lighting technology that uses wireless networks to sense the environment or user needs in real time and automatically adjust the brightness, color temperature or color of the light strips. Its core lies in the use of sensor data, user interaction or preset algorithms, combined with wireless communication modules such as Wi-Fi and Bluetooth, to achieve dynamic dimming without human intervention, thereby achieving the goals of energy saving, comfort and scene adaptation.

[0003] At present, there are some shortcomings in the adaptive dimming of smart LED light strips: 1. The light strips cannot be applied to multiple scenarios, and the dimming needs of multiple people in the same space are different. For example, one person needs bright light to read, and another person needs dim light to rest, and the system cannot coordinate; 2. The scene is dynamically changing, and the LED light strips cannot adjust the lighting angle and width of the light strips in real time according to actual needs, resulting in a narrow range of use of the LED light strips; 3. The scene adaptation is not intelligent. Since the scene is dynamically changing, the preset scene cannot adapt to dynamic needs, resulting in someone leaving the theater during a movie with multiple people, and the system cannot determine whether lighting control is needed in time.

[0004] Therefore, an intelligent LED light strip adaptive dimming system based on wireless communication and a control method thereof are proposed to solve the above problems. Summary of the Invention

[0005] The main purpose of the present invention is to provide an intelligent LED light strip adaptive dimming system based on wireless communication and a control method thereof, so as to solve the problems raised in the above background.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is: an intelligent LED light strip adaptive dimming system based on wireless communication and its control method, including a multi-scene collaboration end, a dynamic change end and an adaptive control end;

[0007] The multi-scenario collaborative terminal is used to set the system to a multi-scenario light strip mode, and automatically select a light strip mode that suits the current environment according to environmental parameters when the LED is turned on. By collecting different needs of the light strip corresponding to the scene in real time, automatic dimming according to environmental needs is achieved, and when there is a conflict in the needs of multiple people, the LED light strip is intelligently divided to achieve a collaborative effect of intelligent control of the light strip;

[0008] The dynamic change end is used to collect dynamic changes in the scene of LED light strip use in real time, and adjust the lighting angle and width of the LED light strip in real time in combination with noise recognition, image recognition and environmental influences. When the light strip is in use, the lighting range of the light strip is automatically adjusted according to the sound, image, activity range and environment, and the dynamic changes of the scene are taken into account during the automatic adjustment;

[0009] The adaptive control end is used to receive the dynamic changes of the scene in real time, and perform scene adaptation control in combination with the selected light strip mode, so as to achieve adaptive dynamic satisfaction as the scene changes uncontrollably, and to classify the lighting angle and width according to the actual needs according to the experience requirements in different scenes, so as to meet the intelligent changes of the light strip with time in different scenes.

[0010] The multi-scene collaborative terminal includes a multi-scene light strip mode unit, a scene demand collection unit and a multi-person collaborative control unit;

[0011] The multi-scene light strip mode unit is used to set the multi-scene light strip mode, and automatically selects the light strip mode that suits the current environment according to the environmental parameters when the LED is turned on. The light strip modes include overall light, partial light, flashing light, line light, dot light, color light, white light, slightly yellow light and irregular light.

[0012] The scene demand acquisition unit is used to obtain different requirements of the light strip in corresponding scenes in real time through a data acquisition instrument, a touch screen and voice control, and to adjust the light requirements of the light strip in different ranges in real time through DMX512+ full spectrum color adjustment.

[0013] The multi-person collaborative control unit is used to segment the LED light strip, and the segmentation methods include overall brightness, partial brightness, flashing brightness, line brightness, dot brightness, color brightness, white brightness, slightly yellow brightness and irregular brightness, which are interconnected and segmented. The corresponding light strip brightness threshold is set according to different needs, and the segmentation method of the light strip is divided into low frequency, medium frequency and high frequency. It is judged in real time whether the brightness of different positions of the light strip after segmentation meets the needs of multiple people.

[0014] The dynamic change end includes a dynamic change tracking unit, a multi-directional identification unit and a multi-source collaborative adjustment unit;

[0015] The dynamic change tracking unit is used to collect dynamic change parameters of the scene used by the LED light strip in real time through a data acquisition instrument. The dynamic change parameters include environmental parameters and object movement within a spatial range.

[0016] The multi-directional recognition unit is used to adjust the lighting angle and width of the LED light strip in real time by combining noise recognition, image recognition and environmental influences, and automatically adjust the lighting range of the light strip according to sound, image, activity range and environment.

[0017] The multi-source collaborative adjustment unit is used to determine in real time whether the automatic adjustment of the lighting range of the light strip according to the sound, image, activity range and environment is abnormal, specifically as follows:

[0018] When the lighting range of the light strip is automatically adjusted according to the sound, the floor induction sensor is used to receive the signal to achieve the adjustment;

[0019] Automatically adjust the lighting range of the light strip in real time based on the image captured by the monitor within the corresponding space range;

[0020] Automatic adjustment according to the range of activity Using infrared sensors to capture the range of activity of the object in real time to automatically control the light strip at the corresponding position;

[0021] Automatically adjust according to the environment. First, set the light strip parameters corresponding to different temperatures within the space range. Use the temperature sensor to collect the temperature within the current space range in real time, and adjust the corresponding light strip parameters in real time according to the temperature. The light strip parameters include lighting brightness, lighting color, lighting angle and lighting width.

[0022] The adaptive control terminal includes a scene receiving unit, a scene dynamic satisfaction unit and a light strip hierarchical control unit;

[0023] The scene receiving unit is used to receive the dynamic changes of the scene in the spatial range in real time through the data acquisition instrument and the light sensor, and perform scene adaptation control in combination with the selected light strip mode to obtain the lighting angle and lighting width under the light strip mode;

[0024] The scene dynamic satisfaction unit is used to adapt and adjust the light strip parameters according to the scene. The light strip parameters include lighting angle and lighting width. The lighting width is graded and adjusted according to the number of objects. The graded adjustment is to set the light strip lighting width to be less than 2 when the number of objects is less than 2, then turn on the lighting width of the light strip for one person. If the number of objects is greater than 2, then turn on the lighting width of the light strip for multiple people. The lighting width of the light strip for multiple people is greater than the lighting width of the light strip for one person, and calculate in real time whether the lighting angle of the light strip deviates when one person is alone.

[0025] The light strip grading control unit is used to perform graded detection on the brightness of the LED light strip according to different scenes in combination with actual needs. The graded detection is to perform partitioned detection on the color requirements of the light strip under different scenes.

[0026] A method for adaptive dimming of an intelligent LED light strip based on wireless communication, comprising the following steps:

[0027] Step 1: Configure the LED light strip remote control terminal, enter the multi-scene collaboration terminal, set the multi-scene light strip mode, and select the light strip mode. By collecting the different needs of the light strip corresponding to the scene in real time, the light strip can be adjusted in real time to meet the lighting needs of different ranges of the light strip to meet the simultaneous use of multiple people and realize the synergy of intelligent control of the light strip;

[0028] Step 2: Enter the dynamic change end, collect the dynamic changes of the LED light strip usage scene in real time, and adjust the lighting angle and width of the LED light strip in real time by combining noise recognition, image recognition and environmental influences;

[0029] Step 3: Enter the adaptive control terminal, receive the dynamic changes of the scene in real time, and perform scene adaptation control in combination with the selected light strip mode, so that the scene requirements under dynamic changes can be adaptively and dynamically met as the uncontrollable changes of the scene occur. In addition, according to the experience requirements in different scenes, the lighting angle and width are graded according to actual needs, ensuring intelligent control of LED light strips while achieving energy saving and consumption reduction.

[0030] The present invention has the following beneficial effects:

[0031] 1. In the present invention, by setting a multi-scenario collaborative terminal, during the adaptive dimming operation of the intelligent LED light strip based on wireless communication, the light requirements of different ranges of the light strip are adjusted in real time, and the LED light strip is intelligently divided to achieve the synergistic effect of intelligent control of the light strip, while meeting the applicability of multiple people, so that the dimming of the LED light strip can be applied to multiple scenarios, thereby increasing the intelligence and practicality of the LED light strip dimming.

[0032] 2. In the present invention, by setting a dynamic change end, during the adaptive dimming operation of the intelligent LED light strip based on wireless communication, the lighting angle and width of the LED light strip are adjusted in real time. When the light strip is in use, the lighting range of the light strip is automatically adjusted according to the sound, image, activity range and environment. During the automatic adjustment, the dynamic changes of the scene are combined to realize real-time adjustment of the lighting angle and width of the LED light strip, thereby reducing the limitations of the use range of the LED light strip.

[0033] 3. In the present invention, by setting an adaptive control end, during the adaptive dimming operation of the intelligent LED light strip based on wireless communication, the scene requirements under dynamic changes are adaptively satisfied as the scene changes uncontrollably. The lighting angle and width can be graded and detected in combination with actual needs according to the experience requirements in different scenes, so as to meet the intelligent changes of the light strip with time in different scenes, ensure the intelligent control of the LED light strip while achieving energy saving and consumption reduction, make the scene adaptation of the light strip dimming and timing more intelligent, and realize real-time satisfaction of adaptive dynamic needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a schematic diagram of the system architecture of an intelligent LED light strip adaptive dimming system based on wireless communication and a control method thereof according to the present invention;

[0035] Figure 2This is a schematic diagram of the architecture of a multi-scenario collaborative terminal of a wireless communication-based intelligent LED light strip adaptive dimming system according to the present invention;

[0036] Figure 3 This is a schematic diagram of the architecture of a dynamic change end of an intelligent LED light strip adaptive dimming system based on wireless communication according to the present invention;

[0037] Figure 4 The figure is a schematic diagram of the architecture of an adaptive control terminal of an intelligent LED light strip adaptive dimming system based on wireless communication of the present invention. DETAILED DESCRIPTION

[0038] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0039] Example 1, please refer to Figures 1 to 2 Shown: An intelligent LED light strip adaptive dimming system based on wireless communication and its control method, including a multi-scene collaboration end, a dynamic change end and an adaptive control end;

[0040] The multi-scene collaboration terminal is used to set the system to multi-scene light strip mode, and automatically select the light strip mode that suits the current environment according to environmental parameters when the LED is turned on. By collecting the different needs of the light strip in the corresponding scene in real time, it can realize automatic dimming according to environmental needs. When there is a conflict in the needs of multiple people, the LED light strip can be intelligently divided to achieve the collaborative effect of intelligent control of the light strip;

[0041] The dynamic change end is used to collect dynamic changes in the scene of LED light strip use in real time, and adjust the lighting angle and width of the LED light strip in real time based on noise recognition, image recognition and environmental influences. When the light strip is in use, it automatically adjusts the lighting range of the light strip according to sound, image, activity range and environment, and takes dynamic changes of the scene into consideration during the automatic adjustment.

[0042] The adaptive control terminal is used to receive the dynamic changes of the scene in real time, and perform scene adaptation and control in combination with the selected light strip mode. It realizes adaptive dynamic satisfaction as the scene changes uncontrollably, and classifies the lighting angle and width according to the actual needs according to the experience requirements in different scenes, so as to meet the intelligent changes of the light strip at any time in different scenes.

[0043] The multi-scene collaboration terminal includes a multi-scene light strip mode unit, a scene demand collection unit, and a multi-person collaborative control unit;

[0044] The multi-scene light strip mode unit is used to set the multi-scene light strip mode, and automatically selects the light strip mode that suits the current environment according to the environmental parameters when the LED is turned on. The light strip modes include overall light, partial light, flashing light, line light, dot light, color light, white light, yellowish light and special shape light.

[0045] The scene demand acquisition unit is used to obtain the different needs of the light strip in the corresponding scene in real time through data acquisition instruments, touch screens and voice control, and adjust the light requirements of the light strip in different ranges in real time through DMX512+ full-spectrum color adjustment.

[0046] The multi-person collaborative control unit is used to segment the LED light strip. The segmentation methods include overall brightness, partial brightness, flashing brightness, line brightness, dot brightness, color brightness, white brightness, yellowish brightness, and irregular brightness. The corresponding light strip brightness threshold is set according to different needs, and the light strip segmentation method is divided into low frequency, medium frequency, and high frequency. In real time, it is judged whether the brightness of different positions of the light strip after segmentation meets the needs of multiple people. The brightness value of the light strip at different positions under the needs of multiple people is calculated. The formula is as follows:

[0047]

[0048] Among them, L k (t) represents the brightness of the kth area at time t, X(f,t) represents the spectrum amplitude of the audio signal at frequency f and time t, α k represents the partition sensitivity coefficient, f k Indicates the starting frequency of the kth frequency band, f k+1 represents the end frequency of the kth frequency band, df represents the integral variable, which means the accumulation of small segments of frequency;

[0049] Combined with the environment, the brightness difference of the light strip at different positions under the needs of multiple people is calculated in real time. The formula is as follows:

[0050]

[0051] Among them, L current Indicates the actual measured brightness value of the light strip, η(T,V) indicates the environmental compensation factor, L expectedIt indicates the brightness thresholds of different positions of the light strip under the needs of multiple people set under standard environmental conditions. If the brightness difference value of different positions of the light strip under the needs of multiple people is equal to 0, it is judged that the brightness of different positions of the light strip after segmentation is adapted to the needs of multiple people. If not, it is judged that the brightness of different positions of the light strip after segmentation is not adapted to the needs of multiple people, and the system is reported, an early warning reminder is issued, and the brightness of the light strips at different positions is readjusted until the brightness difference value of different positions of the light strip under the needs of multiple people is equal to 0. By real-time collection of different needs of the light strip corresponding to the scene, the light needs of different ranges of the light strip are adjusted in real time to achieve automatic dimming according to environmental needs. When there is a conflict in the needs of multiple people, the LED light strip is intelligently segmented to achieve the synergy of intelligent control of the light strip, while meeting the needs of multiple people. The LED light strips are suitable for different scenes. When multiple people have different dimming needs in the same space, it can meet the needs of one person who needs bright light to read and another person who needs dim light to rest. Here, the LED light strips are graded, such as dividing the original illumination area of the light strip into multiple small areas, and the multiple small areas illuminate different directions. The illumination parameters of the multiple small areas can be set with different colors, different brightness and different positions, so that the LED light strips can meet the multi-effect realization of reading and rest, and the people in the space can be captured in real time through the monitor. If the person does not move for more than 30 minutes, it means that the person has fallen asleep, and the reporting system will automatically turn off the brightness of the LED light strip. If not, the LED light strip will continue to be on.

[0052] Example 2, please refer to Figure 3 As shown: Based on the first embodiment, the dynamic change end includes a dynamic change tracking unit, a multi-directional identification unit and a multi-source collaborative adjustment unit;

[0053] The dynamic change tracking unit is used to collect the dynamic change parameters of the scene used by the LED light strip in real time through a data acquisition instrument. The dynamic change parameters include environmental parameters and object movement within the space range.

[0054] The multi-directional recognition unit is used to adjust the lighting angle and width of the LED light strip in real time by combining noise recognition, image recognition and environmental influences, and automatically adjust the lighting range of the light strip according to sound, image, activity range and environment.

[0055] The multi-source collaborative adjustment unit is used to determine in real time whether the automatic adjustment of the lighting range of the light strip based on sound, image, activity range and environment is abnormal, as follows:

[0056] When the lighting range of the light strip is automatically adjusted according to the sound, the floor induction sensor is used to receive the signal to achieve the adjustment;

[0057] Automatically adjust the lighting range of the light strip in real time based on the image captured by the monitor within the corresponding space range;

[0058] Automatic adjustment according to the range of activity Using infrared sensors to capture the range of activity of the object in real time to automatically control the light strip at the corresponding position;

[0059] Automatic adjustment based on the environment: First, set the light strip parameters corresponding to different temperatures within the space. The temperature sensor collects the temperature within the current space in real time, and adjusts the corresponding light strip parameters in real time according to the temperature. The light strip parameters include lighting brightness, lighting color, lighting angle and lighting width;

[0060] Calculate the abnormal value of the automatic adjustment of the lighting range of the light strip as follows:

[0061] Calculate the comprehensive adjustment coefficient under the multimodality of sound, image, activity range and environment. The formula is as follows:

[0062] A adjust =α·S audio +β·I vision +γ·M motion +δ·E env ;

[0063] Among them, A adjust represents the comprehensive adjustment coefficient of sound, image, activity range and environment under multimodality, S audio Represents the sound intensity factor, I vision represents the visual activity factor, M motion represents the activity range factor, E env represents the environmental compensation factor, α, β, γ and δ represent the weight coefficients of sound, image, activity range and environment, and set the safety value of the comprehensive adjustment coefficient under multimodality. If A adjust If the value is greater than 5% of the safety value of the comprehensive adjustment coefficient, the automatic adjustment of the lighting range of the light strip is judged to be abnormal. If not, the automatic adjustment of the lighting range of the light strip is judged to be normal. When the light strip is in use, the lighting range of the light strip is automatically adjusted according to the sound, image, activity range and environment, and the dynamic changes of the scene are combined during the automatic adjustment.

[0064] Example 3, please refer to Figure 4 As shown: Based on the first embodiment, the adaptive control terminal includes a scene receiving unit, a scene dynamic satisfaction unit and a light strip hierarchical control unit;

[0065] The scene receiving unit is used to receive the dynamic changes of the scene in the spatial range in real time through the data acquisition instrument and light sensor, and perform scene adaptation and control in combination with the selected light strip mode to obtain the lighting angle and lighting width under the light strip mode;

[0066] The scene dynamic satisfaction unit is used to adapt and adjust the light strip parameters according to the scene. The light strip parameters include lighting angle and lighting width. The lighting width is graded and adjusted according to the number of objects. The graded adjustment is to set the light strip lighting width to be less than 2, then turn on the light strip lighting width for one person. If the number of objects is greater than 2, turn on the light strip lighting width for multiple people. The light strip lighting width for multiple people is greater than the light strip lighting width for one person, and calculate in real time whether the light strip lighting angle deviates when one person is alone. The details are as follows:

[0067] Step Ⅰ: Set the base center point of the standard position of the light strip illumination angle when one person is alone at the current moment as the origin, establish a coordinate system, and calculate the deviation value of the light strip illumination angle when one person is alone using the calculation formula:

[0068]

[0069] Wherein, α is the angle between the moving distance of the irradiation position when one person is alone and the positive direction of the X-axis, θ is the angle between the moving distance of the irradiation position when one person is alone and the positive direction of the Y-axis, R is the moving distance of the irradiation position when one person is alone, Δx is the vector of the illumination angle of the irradiation position in the direction of the X-axis when one person is alone, and Δy is the vector of the illumination angle of the irradiation position in the direction of the Y-axis when one person is alone;

[0070] Step II: Compare the calculated Δx and Δy of the movement of the illumination position when one person is alone with the lighting angle of the illumination position when one person is alone. The standard lighting angle of the illumination position when one person is alone is set to O and M. If Δx-O≥1 and Δy-M≥1, it is determined that the lighting angle of the illumination position when one person is alone is abnormal. If not, it is determined that the lighting angle of the illumination position when one person is alone is normal.

[0071] The light strip grading control unit is used to perform graded detection on the brightness of LED light strips according to different scenes and actual needs. The graded detection is to divide the color requirements of the light strips into different zones under different scenes. The details are as follows:

[0072] Step 1: Calculate the linear coefficient of the regression equation using the following formula:

[0073]

[0074] Among them, M is the linear coefficient, and represents the quadratic relationship between the color of the LED light strip under different scene requirements and the required data when the light strip is illuminated. Specifically, Q1 represents the basic value of the deviation of the illumination color when the first LED light strip illumination requirement is detected, Q2 represents the basic value of the deviation of the illumination color of the first requirement reaching the specified point, Q3 represents the basic value of the deviation of the color of the second requirement detection, Q4 represents the basic value of the deviation of the illumination color of the second requirement reaching the specified point, and Q5 represents the basic value of the deviation of the color of the color difference illumination at the current moment. Here, it represents the deviation value of the illumination color for different scenes and different requirements;

[0075] Step 2: Calculate the quadratic coefficient of the regression equation using the following formula:

[0076]

[0077] Wherein, N represents the quadratic coefficient, and the color of the LED light strip under different scene requirements and the required data when the light strip is illuminated constitute a binary quadratic relationship;

[0078]

[0079]

[0080] Where C represents the constant term coefficient, Indicates the average value of the required illumination color deviation at the current moment. The required illumination color here represents the deviation color between the required illumination color of the LED light strip and the required illumination color of other areas. ∑x i 2 Indicates the deviation value of the i-th required illumination color, Indicates the average value of the deviation from the color data deformation of the LED light strip for demand detection. Represents the average value of all deviation color data required to be detected in the color dataset;

[0081] Step 3: Based on the linear coefficient, quadratic coefficient and constant coefficient, a regression equation is established to obtain the deviation value between the required illumination color of the LED light strip and the required illumination color of other areas. If the deviation value between the required illumination color of the LED light strip and the required illumination color of other areas is less than or equal to 0, it means that the illumination color of the LED light strip under the corresponding scene requirement is normal. If not, it means that the illumination color of the LED light strip under the corresponding scene requirement is normal. The reporting system issues a voice alarm to remind that the illumination color of the LED light strip under the corresponding scene requirement is abnormal. The reporting system is fed back for manual processing and automatically corrected according to the deviation value. The illumination color of the light strip is adjusted until the illumination color of the LED light strip under the corresponding scene requirement is normal. According to the experience requirements in different scenes, the lighting angle and width are graded according to actual needs to meet the intelligent changes of the light strip with time in different scenes, ensuring the intelligent control of the LED light strip while achieving energy saving and consumption reduction, making the scene adaptation of the light strip dimming and timing more intelligent.

[0082] In the present invention, an intelligent LED light strip adaptive dimming system based on wireless communication and its control method are provided. When the system is in operation, the LED light strip remote control terminal is configured, the multi-scene collaborative terminal is entered, the multi-scene light strip mode is set, and the light strip mode is selected. By collecting the different needs of the light strip corresponding to the scene in real time, the light needs of different ranges of the light strip are adjusted in real time to meet the simultaneous use of multiple people and realize the synergy of the intelligent control of the light strip. By setting the system to the multi-scene light strip mode and automatically selecting the light strip mode that meets the current environment according to the environmental parameters when the LED is turned on, the light strip mode that meets the current environment is realized by collecting the different needs of the light strip corresponding to the scene in real time and adjusting the light needs of different ranges of the light strip in real time. Automatic dimming according to environmental needs, and when there is a conflict in the needs of multiple people, the LED light strips are intelligently divided to achieve the synergy of intelligent control of the light strips, and meet the needs of multiple people at the same time, so that the dimming of the LED light strips can be applied to multiple scenarios. When multiple people have different dimming needs in the same space, it can meet the needs of one person who needs bright light for reading and another person who needs dim light for rest, thereby increasing the intelligence and practicality of the LED light strip dimming; entering the dynamic change end, by real-time collection of dynamic changes in the scene where the LED light strips are used, combined with noise recognition, image recognition and environmental influences, the lighting angle and width of the LED light strips are adjusted in real time. By real-time collection of dynamic changes in the scene where the LED light strips are used, and combined with noise recognition, image recognition and environmental influences, the lighting angle and width of the LED light strips are adjusted in real time. Sound recognition, image recognition and environmental influences are used to adjust the lighting angle and width of the LED light strip in real time. When the light strip is in use, the lighting range of the light strip is automatically adjusted according to the sound, image, activity range and environment. During the automatic adjustment, the lighting angle and width of the LED light strip are adjusted in real time in combination with the dynamic changes of the scene, reducing the limitations of the use range of the LED light strip. Entering the adaptive control end, by receiving the dynamic changes of the scene in real time, the scene adaptation control is performed in combination with the selected light strip mode, so that the scene requirements under dynamic changes are adaptively and dynamically met with the uncontrollable changes of the scene, and the lighting angle and width are combined with the actual requirements according to the experience requirements in different scenes. Grading is carried out to ensure that the LED light strips can be intelligently controlled while achieving energy saving and consumption reduction. By receiving the dynamic changes of the scene in real time and combining the selected light strip mode to perform scene adaptation and regulation, the scene requirements under dynamic changes can be adaptively and dynamically met as the scene changes uncontrollable, so that the light strips can switch to more suitable scene modes in real time as the dynamic changes occur during dimming. In addition, according to the experience requirements in different scenes, the lighting angle and width are graded according to actual needs to meet the intelligent changes of light strips with different lengths in different scenes, ensuring the intelligent control of LED light strips while achieving energy saving and consumption reduction, making the scene adaptation of light strip dimming and timing more intelligent, and being able to achieve real-time satisfaction of adaptive dynamic needs.

[0083] A method for adaptive dimming of an intelligent LED light strip based on wireless communication, comprising the following steps:

[0084] Step 1: Configure the LED light strip remote control terminal, enter the multi-scene collaboration terminal, set the multi-scene light strip mode, and select the light strip mode. By collecting the different needs of the light strip corresponding to the scene in real time, the light strip can be adjusted in real time to meet the lighting needs of different ranges of the light strip to meet the simultaneous use of multiple people and realize the synergy of intelligent control of the light strip;

[0085] Step 2: Enter the dynamic change end, collect the dynamic changes of the LED light strip usage scene in real time, and adjust the lighting angle and width of the LED light strip in real time by combining noise recognition, image recognition and environmental influences;

[0086] Step 3: Enter the adaptive control terminal, receive the dynamic changes of the scene in real time, and perform scene adaptation control in combination with the selected light strip mode, so that the scene requirements under dynamic changes can be adaptively and dynamically met as the uncontrollable changes of the scene occur. In addition, according to the experience requirements in different scenes, the lighting angle and width are graded according to actual needs, ensuring intelligent control of LED light strips while achieving energy saving and consumption reduction.

[0087] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent LED light strip adaptive dimming system based on wireless communication, characterized in that: The system includes a multi-scenario collaboration terminal, a dynamic change terminal and an adaptive control terminal; The multi-scenario collaborative terminal is used to set the system to a multi-scenario light strip mode, and automatically select a light strip mode that suits the current environment according to environmental parameters when the LED is turned on. By collecting different needs of the light strip corresponding to the scene in real time, automatic dimming according to environmental needs is achieved, and when there is a conflict in the needs of multiple people, the LED light strip is intelligently divided to achieve a collaborative effect of intelligent control of the light strip; The dynamic change end is used to collect dynamic changes in the scene of LED light strip use in real time, and adjust the lighting angle and width of the LED light strip in real time in combination with noise recognition, image recognition and environmental influences. When the light strip is in use, the lighting range of the light strip is automatically adjusted according to the sound, image, activity range and environment, and the dynamic changes of the scene are taken into account during the automatic adjustment; The adaptive control end is used to receive the dynamic changes of the scene in real time, and perform scene adaptation control in combination with the selected light strip mode, so as to achieve adaptive dynamic satisfaction as the scene changes uncontrollably, and to classify the lighting angle and width according to the actual needs according to the experience requirements in different scenes, so as to meet the intelligent changes of the light strip with time in different scenes.

2. The system according to claim 1, wherein: The multi-scene collaborative terminal includes a multi-scene light strip mode unit, a scene demand collection unit and a multi-person collaborative control unit; The multi-scene light strip mode unit is used to set the multi-scene light strip mode, and automatically selects the light strip mode that suits the current environment according to the environmental parameters when the LED is turned on. The light strip modes include overall light, partial light, flashing light, line light, dot light, color light, white light, slightly yellow light and irregular light.

3. The system according to claim 2, characterized in that: The scene demand acquisition unit is used to obtain different requirements of the light strip in corresponding scenes in real time through a data acquisition instrument, a touch screen and voice control, and to adjust the light requirements of the light strip in different ranges in real time through DMX512+ full spectrum color adjustment.

4. The system according to claim 3, wherein: The multi-person collaborative control unit is used to segment the LED light strip. The segmentation methods include overall brightness, partial brightness, flashing brightness, line brightness, dot brightness, color brightness, white brightness, yellowish brightness, and irregular brightness, which are interconnected and segmented. The corresponding light strip brightness threshold is set according to different needs, and the segmentation method of the light strip is divided into low frequency, medium frequency and high frequency. In real time, it is judged whether the brightness of different positions of the light strip after segmentation meets the needs of multiple people, and the brightness value of the light strip at different positions under the needs of multiple people is calculated. The formula is as follows: Among them, L k (t) represents the brightness of the kth area at time t, X(f,t) represents the spectrum amplitude of the audio signal at frequency f and time t, α k represents the partition sensitivity coefficient, f k Indicates the starting frequency of the kth frequency band, f k+1 represents the end frequency of the kth frequency band, df represents the integral variable, which means the accumulation of small segments of frequency; Combined with the environment, the brightness difference of the light strip at different positions under the needs of multiple people is calculated in real time. The formula is as follows: Among them, L current Indicates the actual measured brightness value of the light strip, η(T,V) indicates the environmental compensation factor, L expected Indicates the brightness thresholds at different positions of the light strip under standard environmental conditions for multiple people. If the brightness difference value at different positions of the light strip under multi-person needs is equal to 0, the brightness at different positions of the light strip after segmentation is determined to meet the needs of multiple people. If not, the brightness at different positions of the light strip after segmentation is determined to be unsuitable for multiple people. The system is reported, an early warning reminder is issued, and the brightness of the light strip at different positions is readjusted until the brightness difference value at different positions of the light strip under multi-person needs is equal to 0.

5. The system according to claim 1, wherein: The dynamic change end includes a dynamic change tracking unit, a multi-directional identification unit and a multi-source collaborative adjustment unit; The dynamic change tracking unit is used to collect dynamic change parameters of the scene used by the LED light strip in real time through a data acquisition instrument. The dynamic change parameters include environmental parameters and object movement within a spatial range.

6. The system according to claim 5, characterized in that: The multi-directional recognition unit is used to adjust the lighting angle and width of the LED light strip in real time by combining noise recognition, image recognition and environmental influences, and automatically adjust the lighting range of the light strip according to sound, image, activity range and environment.

7. The system according to claim 6, characterized in that: The multi-source collaborative adjustment unit is used to determine in real time whether the automatic adjustment of the lighting range of the light strip according to the sound, image, activity range and environment is abnormal, specifically as follows: When the lighting range of the light strip is automatically adjusted according to the sound, the floor induction sensor is used to receive the signal to achieve the adjustment; Automatically adjust the lighting range of the light strip in real time based on the image captured by the monitor within the corresponding space range; Automatic adjustment according to the range of activity Using infrared sensors to capture the range of activity of the object in real time to automatically control the light strip at the corresponding position; Automatic adjustment based on the environment: First, set the light strip parameters corresponding to different temperatures within the space. The temperature sensor collects the temperature within the current space in real time, and adjusts the corresponding light strip parameters in real time according to the temperature. The light strip parameters include lighting brightness, lighting color, lighting angle and lighting width; Calculate the abnormal value of the automatic adjustment of the lighting range of the light strip as follows: Calculate the comprehensive adjustment coefficient under the multimodality of sound, image, activity range and environment. The formula is as follows: A adjust =α·S audio +β·I vision +γ·M motion +δ·E env ; Among them, A adjust represents the comprehensive adjustment coefficient of sound, image, activity range and environment under multimodality, S audio Represents the sound intensity factor, I vision represents the visual activity factor, M motion represents the activity range factor, E env represents the environmental compensation factor, α, β, γ and δ represent the weight coefficients of sound, image, activity range and environment, and set the safety value of the comprehensive adjustment coefficient under multimodality. If A adjust If the value is greater than 5% of the safety value of the comprehensive adjustment coefficient, it is judged that the automatic adjustment of the lighting range of the light strip is abnormal; if not, it is judged that the automatic adjustment of the lighting range of the light strip is normal.

8. The system according to claim 1, wherein: The adaptive control terminal includes a scene receiving unit, a scene dynamic satisfaction unit and a light strip hierarchical control unit; The scene receiving unit is used to receive the dynamic changes of the scene in the spatial range in real time through the data acquisition instrument and the light sensor, and perform scene adaptation control in combination with the selected light strip mode to obtain the lighting angle and lighting width under the light strip mode; The scene dynamic satisfaction unit is used to adjust the light strip parameters according to the scene adaptation. The light strip parameters include lighting angle and lighting width. The lighting width is graded and adjusted according to the number of objects. The graded adjustment is to set the light strip lighting width to be less than 2, then turn on the light strip lighting width for one person alone. If the number of objects is greater than 2, then turn on the light strip lighting width for multiple people. The light strip lighting width for multiple people is greater than the light strip lighting width for one person alone. In addition, the light strip lighting angle is calculated in real time to determine whether it deviates when the light strip is used for one person alone. The details are as follows: Step Ⅰ: Set the base center point of the standard position of the light strip illumination angle when one person is alone at the current moment as the origin, establish a coordinate system, and calculate the deviation value of the light strip illumination angle when one person is alone using the calculation formula: Wherein, α is the angle between the moving distance of the irradiation position when one person is alone and the positive direction of the X-axis, θ is the angle between the moving distance of the irradiation position when one person is alone and the positive direction of the Y-axis, R is the moving distance of the irradiation position when one person is alone, Δx is the vector of the illumination angle of the irradiation position in the direction of the X-axis when one person is alone, and Δy is the vector of the illumination angle of the irradiation position in the direction of the Y-axis when one person is alone; Step II: Compare the calculated Δx and Δy of the movement of the illumination position when one person is alone with the lighting angle of the illumination position when one person is alone. The standard lighting angle of the illumination position when one person is alone is set to O and M. If Δx-O≥1 and Δy-M≥1, it is determined that the lighting angle of the illumination position when one person is alone is abnormal. If not, it is determined that the lighting angle of the illumination position when one person is alone is normal.

9. The system according to claim 8, characterized in that: The light strip grading control unit is used to perform graded detection on the brightness of the LED light strip according to different scenes and actual requirements. The graded detection is to perform zoning detection on the color requirements of the light strip under different scenes, as follows: Step 1: Calculate the linear coefficient of the regression equation using the following formula: Among them, M is the linear coefficient, and represents the quadratic relationship between the color of the LED light strip under different scene requirements and the required data when the light strip is illuminated. Specifically, Q1 represents the basic value of the deviation of the illumination color when the first LED light strip illumination requirement is detected, Q2 represents the basic value of the deviation of the illumination color of the first requirement reaching the specified point, Q3 represents the basic value of the deviation of the color of the second requirement detection, Q4 represents the basic value of the deviation of the illumination color of the second requirement reaching the specified point, and Q5 represents the basic value of the deviation of the color of the color difference illumination at the current moment. Here, it represents the deviation value of the illumination color for different scenes and different requirements; Step 2: Calculate the quadratic coefficient of the regression equation using the following formula: Wherein, N represents the quadratic coefficient, and the color of the LED light strip under different scene requirements and the required data when the light strip is illuminated constitute a binary quadratic relationship; Where C represents the constant term coefficient, Indicates the average value of the required illumination color deviation at the current moment. The required illumination color here represents the deviation color between the required illumination color of the LED light strip and the required illumination color of other areas. ∑x i 2 Indicates the deviation value of the i-th required illumination color, Indicates the average value of the deviation from the color data deformation of the LED light strip for the required detection. Represents the average value of all deviation color data required to be detected in the color dataset; Step 3: Based on the coefficient of the linear term, the coefficient of the quadratic term and the coefficient of the constant term, a regression equation is established to obtain the deviation value between the required illumination color of the LED light strip and the required illumination color of other areas. If the deviation value between the required illumination color of the LED light strip and the required illumination color of other areas is less than or equal to 0, it means that the illumination color of the LED light strip under the corresponding scene requirement is normal. If not, it means that the illumination color of the LED light strip under the corresponding scene requirement is normal. The reporting system issues a voice alarm to remind that the illumination color of the LED light strip under the corresponding scene requirement is abnormal. The reporting system is fed back for manual processing and automatic correction is achieved according to the deviation value. The illumination color of the light strip is adjusted until the illumination color of the LED light strip under the corresponding scene requirement is normal.

10. The method for adaptive dimming of an intelligent LED light strip based on wireless communication according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Configure the LED light strip remote control terminal, enter the multi-scene collaboration terminal, set the multi-scene light strip mode, and select the light strip mode. By collecting the different needs of the light strip corresponding to the scene in real time, the light strip can be adjusted in real time to meet the lighting needs of different ranges of the light strip to meet the simultaneous use of multiple people and realize the synergy of intelligent control of the light strip; Step 2: Enter the dynamic change end, collect the dynamic changes of the LED light strip usage scene in real time, and adjust the lighting angle and width of the LED light strip in real time by combining noise recognition, image recognition and environmental influences; Step 3: Enter the adaptive control terminal, receive the dynamic changes of the scene in real time, and perform scene adaptation control in combination with the selected light strip mode, so that the scene requirements under dynamic changes can be adaptively and dynamically met as the uncontrollable changes of the scene occur. In addition, according to the experience requirements in different scenes, the lighting angle and width are graded according to actual needs, ensuring intelligent control of LED light strips while achieving energy saving and consumption reduction.

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