Light control method and system for integrated ceiling

Abstract

The invention relates to the technical field of novel illumination, in particular to a light control method and system for an integrated ceiling, and the method comprises the steps: obtaining an illumination brightness time sequence and a thermal radiation time sequence in a room where a ceiling lamp works, equally dividing a plurality of thermal radiation time sequence segments, determining the target static degree of the thermal radiation time sequence segments, and determining the target static degree of the thermal radiation time sequence segments; all the thermal radiation time sequence segments form a plurality of continuous stages, target heat source credibility in each continuous stage is determined to screen out target continuous stages, all the target continuous stages form a plurality of human body activity stages, a lamp power coefficient value of each human body activity stage is determined, and the lamp power coefficient value of each human body activity stage is determined. Therefore, the working power of the lamp at the current moment is determined. According to the method, the heat source with credibility is analyzed, and the frequency of the heat source in the target activity process is analyzed, so that the demand degree of a user for high-brightness lamplight is determined, and the demand degree serves as a parameter factor for brightness adjustment to assist in intelligent lamplight control according to the environment illumination value.

Description

Technical Field

[0001] The present invention relates to the field of novel lighting technology, and in particular to a lighting control method and system for an integrated suspended ceiling. Background Art

[0002] Integrated ceilings usually refer to a modern ceiling design that is not only used for aesthetics and decoration, but also integrates multiple functional modules, such as lighting, ventilation, air conditioning, and audio systems. Integrated ceilings are commonly found in spaces such as kitchens, bathrooms, and offices. They can integrate various facilities into a unified ceiling structure, making it easier to install and maintain, while also improving the overall aesthetics of the space. The lighting control system of an integrated ceiling usually achieves intelligent control through integrated lamps (such as LED lamps) and environmental sensing devices (such as related light intensity sensors). Such sensors adjust the brightness and color temperature of lamps according to changes in the environment, optimize lighting effects, and provide a more comfortable living environment. In this system, the sensor is mainly responsible for sensing environmental changes and transmitting information to the control system, thereby achieving adjustments to the brightness of lamps, etc.

[0003] Light sensors are generally used to detect the real-time ambient light intensity. The sensors and lamps are integrated into the ceiling to control the switch or intensity of the lights to determine whether automatic lighting or lamp brightness adjustment is required. Through this method of control, the integrated ceiling system senses environmental changes in real time and dynamically adjusts the brightness and color temperature of the lamps according to the sensor parameters to enhance the user's living experience. Through intelligent perception and adjustment logic, the system automatically achieves lighting effects, improves energy efficiency, and creates a more comfortable living environment.

[0004] The current problem is: In the control system, the brightness of the relevant lamps is adjusted by the light intensity. When it is not necessary, for example, there are no relevant human activities that require the assistance of light in the environment, the light intensity regulation control at this time will occupy a certain amount of energy, and when analyzed through sound, it cannot play a role in accurately adjusting the light brightness value, so it cannot achieve the purpose of intelligent regulation and control. Summary of the invention

[0005] The present invention provides a lighting control method and system for an integrated ceiling to solve the existing problems.

[0006] The lighting control method and system for integrated ceiling of the present invention adopts the following technical solutions:

[0007] An embodiment of the present invention provides a lighting control method for an integrated ceiling, the method comprising the following steps:

[0008] Obtain the time series of light illumination and heat radiation in the room where the ceiling lamp is working;

[0009] The thermal radiation time sequence is equally divided into a number of thermal radiation time sequence segments; according to the change of the thermal radiation value at different times in each thermal radiation time sequence segment, the target static degree of the thermal radiation time sequence segment is determined; according to the size of the target static degree, all the thermal radiation time sequence segments are combined into a number of continuous stages;

[0010] According to the target static degree of the thermal radiation time sequence segment in each continuous stage and the size of the thermal radiation value at each moment, the credibility of the target heat source in each continuous stage is determined; according to the size of the credibility of the target heat source in each continuous stage, the target continuous stage is screened out; all the target continuous stages are used to form a number of human activity stages;

[0011] According to the time interval between the target duration stages in each human activity stage, the power coefficient value of the lamp in each human activity stage is determined; according to the power coefficient value of the lamp in each human activity stage and the size of the light brightness value in the light brightness timing sequence, the working power of the lamp at the current moment is determined.

[0012] Furthermore, the step of equally dividing the thermal radiation time series into a plurality of thermal radiation time series segments includes the following specific steps:

[0013] A segmentation time length S is preset to equally divide the thermal radiation time series sequence into a number of thermal radiation time series sequence segments with a time length of S.

[0014] Furthermore, the target static degree of the thermal radiation time series segment is determined according to the change of the thermal radiation value at different moments in each thermal radiation time series segment, and the specific steps include the following:

[0015] In the i-th thermal radiation timing sequence segment, the discrete degree of the thermal radiation values ​​at all moments is obtained, and then the difference between the thermal radiation values ​​at adjacent moments is obtained, and the target static degree of the i-th thermal radiation timing sequence segment is determined according to the discrete degree and the difference; wherein the discrete degree and the difference are both negatively correlated with the target static degree.

[0016] Furthermore, according to the static degree of the target, all thermal radiation time sequence segments are used to form a number of continuous stages, including the following specific steps:

[0017] In the heat radiation timing sequence, adjacent heat radiation timing sequence segments with the same target static level constitute a continuous stage.

[0018] Furthermore, the target heat source credibility in each continuous stage is determined according to the target static degree of the heat radiation time sequence segment in each continuous stage and the magnitude of the heat radiation value at each moment, and the specific steps include the following:

[0019] In the nth continuous stage, the mean of the thermal radiation values ​​at all times is calculated, recorded as the first mean, and then the mean of the target static degree of all thermal radiation time series sequence segments is calculated, recorded as the second mean, and the target heat source credibility in the nth continuous stage is determined according to the first mean and the second mean; wherein the first mean is positively correlated with the target heat source credibility, and the second mean is negatively correlated with the target heat source credibility.

[0020] Furthermore, the target duration stage is screened out according to the credibility of the target heat source in each duration stage, and the specific steps include the following:

[0021] The continuous stage in which the credibility of the target heat source is greater than the preset credibility threshold is recorded as the target continuous stage.

[0022] Furthermore, the above-mentioned steps of forming a plurality of individual body activity stages with all target duration stages are as follows:

[0023] In the thermal radiation timing sequence, adjacent target duration stages constitute the human activity stage.

[0024] Furthermore, the method of determining the lamp power coefficient value for each human activity stage according to the time interval between the target duration stages in each human activity stage includes the following specific steps:

[0025] In the u-th human activity stage, the inverse proportional value of the time interval between the same sequence moments in adjacent target duration stages is obtained, and the lamp power coefficient value of the u-th human activity stage is determined according to the inverse proportional value of the time interval and the number of target duration stages; wherein the inverse proportional value of the time interval and the number of target duration stages are both positively correlated with the lamp power coefficient value.

[0026] Furthermore, the step of determining the working power of the lamp at the current moment according to the lamp power coefficient value of each human activity stage and the light illuminance value in the light illuminance time series includes the following specific steps:

[0027] In the thermal radiation time series, the power coefficient value of the lamp in the last human activity stage is used as the proportional coefficient at the current moment;

[0028] Calculate the product of the initial working power of the preset lamp and the preset light threshold, recorded as the first product, the ratio of the first product to the light brightness value at the current moment in the light brightness time series sequence, recorded as the first ratio, and the product of the first ratio and the proportional coefficient at the current moment is used as the working power of the lamp at the current moment.

[0029] The present invention also provides a lighting control system for an integrated ceiling, including a memory, a processor, and a computer program stored on the memory and executable on the processor. The processor executes the computer program stored in the memory to implement the steps of the lighting control method for the integrated ceiling described above.

[0030] The beneficial effects of the technical solution of the present invention are as follows:

[0031] In the embodiment of the present invention, the light intensity time sequence and the thermal radiation time sequence in the room where the ceiling lamp works are obtained, and several thermal radiation time sequence segments are equally divided. Thus, by integrating an infrared sensor and analyzing the infrared results, the purpose of intelligent lighting brightness adjustment is achieved. The target static degree of the thermal radiation time sequence segment is obtained, so that several continuous stages are formed by all the thermal radiation time sequence segments, and the target heat source credibility within each continuous stage is determined to screen out the target continuous stage. Several human activity stages are formed by all the target continuous stages. Thus, during the infrared analysis on the ceiling, by analyzing the static degree and the corresponding infrared amount in the heat source, the identification of heat source noise is carried out, preventing the misjudgment effect on the presence or absence of the user caused by other noise with heat release attributes in the environment. The lamp power coefficient value of each human activity stage is obtained, so as to determine the lamp working power at the current moment. So far, the present invention analyzes the credible heat source, analyzes the frequency during the target activity process of such heat source, and then determines the user's demand degree for high-brightness lighting, and uses it as a parameter factor for brightness adjustment to assist the environmental light value in the intelligent control of lighting. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0033] Figure 1 It is a flowchart of the steps of the lighting control method for the integrated ceiling of the present invention;

[0034] Figure 2 It is a flowchart for obtaining the lamp working power at the current moment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0035] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the lighting control method and system for integrated ceiling proposed by the present invention, its specific implementation, structure, features and effects are described in detail as follows in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0036] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0037] The specific scheme of the lighting control method and system for integrated ceiling provided by the present invention is described in detail below with reference to the accompanying drawings.

[0038] See also Figure 1 , which shows a flowchart of a lighting control method for an integrated ceiling provided by an embodiment of the present invention, the method comprising the following steps:

[0039] Step S001: Obtain the light illuminance time sequence and heat radiation time sequence in the room where the ceiling lamp is working.

[0040] It should be noted that in the lighting control system of the integrated ceiling, the brightness of the relevant lamps is adjusted by the light intensity. When it is not necessary, for example, there is no relevant human activity in the environment that requires the assistance of light, the light intensity regulation control at this time will occupy a certain amount of energy, and when analyzed by sound, it cannot accurately adjust the light brightness value, so it cannot achieve the purpose of intelligent regulation and control. In order to solve this problem, this embodiment is implemented in the following ways: First, on the integrated ceiling, in addition to the necessary lights and light sensors, infrared sensors are added to monitor user behavior activities in real time, and the specific light brightness is indirectly adjusted according to the frequency of the behavior activities combined with the real-time light value; based on the behavior activities, a corresponding interference removal data analysis module is added to prevent interference with user behavior detection caused by other heat sources in the environment (air conditioners, heaters, fans or pets, etc.), so as to achieve the purpose of integrated control of the intelligent lighting of the ceiling.

[0041] In the room where the ceiling lamp is installed, the light illuminance value and the heat radiation value of the ceiling lamp are collected in real time when the ceiling lamp is working, forming a light illuminance time series sequence and a heat radiation time series sequence.

[0042] It should be noted that: in this embodiment, a light sensor is used to collect light brightness values ​​in real time, and the light sensor readings are updated 5 times per minute. An infrared sensor is used to collect thermal radiation values ​​in real time, and the infrared sensor readings are updated twice per second. This is used as an example for description, that is, the 2nd light brightness value in the light brightness timing sequence corresponds to the 20th second of collection, and the 40th thermal radiation value in the thermal radiation timing sequence corresponds to the 20th second of collection.

[0043] It is further necessary to explain that: the intelligent control module for integrating the integrated ceiling lighting environment, configuring the environmental sensor and its data processing, and controlling the lighting according to the processing results includes: integrated ceiling lighting and sensors; the ceiling lighting is installed in the center of the room to ensure uniform light coverage; the sensor is arranged to install the light sensor in the center of the room so as to be able to monitor the indoor light intensity in real time, specifically in a corner of the ceiling or the center of the ceiling of the room, 1.5 to 2 meters above the ground, and the infrared sensor (PIR sensor) is installed on the ceiling of the room. To ensure that the entire activity area can be covered, the installation height of the sensor is 2 to 3 meters; the working principle and parameters of the sensor are that the light sensor determines whether the light brightness needs to be turned on or adjusted by detecting the change in indoor light intensity and combining the infrared results. Its working light intensity range is between 0 and 1000 lux. The infrared sensor (PIR sensor) monitors the thermal radiation of the human body and triggers the light control when it senses the presence of the human body. Its sensing distance is 3 to 8 meters; sensor data processing and light control are that the light sensor feeds back the indoor light intensity in real time. After the infrared sensor detects the presence of the human body, it triggers the light switch or brightness adjustment. The system will calculate based on the real-time data provided by these two sensors to determine whether the light brightness needs to be increased or the lamp needs to be turned off; finally, based on the input of the sensor, the intelligent control module processes this information and controls the switch and brightness adjustment of the ceiling lamp to form a closed-loop control.

[0044] Step S002: Divide the thermal radiation timing sequence into a number of thermal radiation timing sequence segments; determine the target static degree of the thermal radiation timing sequence segment according to the change of the thermal radiation value at different times in each thermal radiation timing sequence segment; and form a number of continuous stages with all the thermal radiation timing sequence segments according to the size of the target static degree.

[0045] It should be noted that: in this embodiment, by acquiring real-time sensor data, analyzing the illumination value, preliminarily dividing the brightness of the lamp, and then analyzing the static degree of the real-time infrared target, combining the target infrared quantity, allocating the target heat source credibility, and finally obtaining the high-credibility target, calculating the frequency of the target activity, and assisting in regulating the brightness of the lamp according to the frequency, the purpose of intelligent lighting control is achieved. Lighting control has the control effect of switching the lamp on and off and the intensity of the light, wherein whether the lamp is switched on or off is usually controlled by factors such as the illumination value and sound in the environment. However, for some more detailed controls, such as the illumination value of the lamp, the degree of weakness, the judgment of the ambient lighting demand, etc., it does not have the ability to judge. Therefore, on top of the original lighting analysis logic, the judgment analysis logic of the user behavior in the environment is added, and the analysis and judgment of the relevant lighting demand based on the behavioral characteristics are performed to achieve the purpose of intelligent lighting control. Through the infrared thermal sensor, the frequency of the user's behavior activities in the environment is analyzed in real time. In the process of assisting in adjusting the brightness of the light according to the frequency, the interference of other heat sources in the environment will lead to noise misjudgment, so the target credibility analysis needs to be performed before the analysis. In a lighting control environment, the premise of adjusting the light level is to turn on the light, and whether the light is turned on or not and the light brightness in the initial state are analyzed and obtained based on the real-time light value. Therefore, when the system receives the real-time reading of the sensor, it first analyzes the light value and then performs the initial setting of whether the light is turned on or off and the brightness value based on the light value.

[0046] Preset light threshold L 0 The luminaire is set to have an initial operating power of 200 lux. 0 When the light illuminance value in the room is less than or equal to 200 lux, the control system of the ceiling light works, turns on the light switch, and assigns an initial working power value of 50 watts to the light. After that, this embodiment performs light control by monitoring the sensor data of the ceiling light when it is working, that is, as the ambient light value further decreases, the working power of the light increases accordingly, satisfying the following proportional relationship: Existence Where L t is the light illuminance value at the current moment (the light illuminance value at the last moment in the light illuminance time series), k t is the current proportionality factor, w t is the working power of the lamp at the current moment, i.e. L t The smaller the w t The larger the lux value, the greater the power value. The proportional coefficient is assigned through subsequent analysis. As the ambient lux value further decreases, the power value of the lamp increases further under the initial configuration until the maximum working power. At this point, the initial configuration of the lamp brightness change relationship is complete.

[0047] It should be noted that: on the basis of the above, it is necessary to further analyze the degree of real-time illumination demand. The degree of illumination demand depends on whether the user is active in the environment and the degree of activity, and the degree of activity is judged and analyzed by the reading value of the infrared sensor. To obtain the real-time infrared sensor reading value, the higher the thermal radiation caused by the infrared target and the closer the distance, the higher the reading value. In the environment, there are multiple non-human heat sources, which greatly affect the purpose of obtaining user activity information through infrared thermal radiation. Specifically, infrared sensors are easily affected by misjudgment, especially when other heat sources (such as air conditioners, heaters or electrical appliances) within the sensing range change, the thermal radiation of such devices may be mistakenly identified by the sensor as human movement or presence. For example, after a person has a short activity in the room, the electrical appliances, including kitchen utensils, that are not turned off after leaving, may cause the lights to turn on accidentally. In addition, infrared sensors are very sensitive to large temperature changes (such as human body temperature), but they may also misjudge the heat generated by smaller objects (such as pets, fans, etc.), causing the system to mistakenly believe that there is a "human body". In order to eliminate the misjudgment caused by such noise targets when infrared thermal radiation participates in controlling the brightness of lamps, it is necessary to analyze the thermal radiation value generated by each infrared target and determine the credibility of its corresponding heat source, that is, it is necessary to quantify the thermal radiation value generated by such noise.

[0048] It should be further explained that although the electrical appliances in the environment cause a certain degree of thermal radiation, since their corresponding positions are fixed and the radiation values ​​are stable, when thermal radiation is monitored at different times, the corresponding radiation values ​​are relatively fixed, that is, the static degree of the infrared target is relatively high. Through this analysis, the static degree of the target can be quantified as follows: when the real-time thermal radiation value changes in the reading, it is considered that a thermal radiation target has appeared. At this time, the target may be a newly turned on electrical appliance, a pet, or a human body. When it is an electrical appliance, when the thermal radiation rises to a certain level, the reading remains unchanged, that is, the static value of the target is high; and for pets, since they are far away from the infrared sensor on the ceiling and the thermal radiation value they generate is smaller than that of electrical appliances and the human body, the thermal radiation amount of the target is lower, and the corresponding target heat source credibility is lower, that is, they are all considered to be environmental noise.

[0049] Preferably, in one embodiment of the present invention, the acquisition method of the continuous phase includes:

[0050] The preset segment length S is 1 minute, and this is used as an example for description.

[0051] The thermal radiation time series sequence is equally divided into a number of thermal radiation time series sequence segments with a duration of S.

[0052] It should be noted that: starting from the current moment, in the thermal radiation time series, in reverse chronological order, each minute constitutes a thermal radiation time series segment. If the last thermal radiation time series segment is less than one minute, the subsequent analysis does not include the last thermal radiation time series segment.

[0053] Taking the ith thermal radiation time series sequence segment as an example, in the ith thermal radiation time series sequence segment, the discrete degree of the thermal radiation values ​​at all moments is obtained, and then the difference between the thermal radiation values ​​at adjacent moments is obtained, and the target static degree of the ith thermal radiation time series sequence segment is determined according to the discrete degree and the difference. The discrete degree and the difference are both negatively correlated with the target static degree.

[0054] Preferably, a possible implementation of the discrete degree is as follows:

[0055] In the i-th thermal radiation time series segment, the variance of the thermal radiation values ​​at all moments is calculated as the discrete degree.

[0056] Optionally, other possible implementations of the discrete degree are as follows:

[0057] In the i-th thermal radiation time series segment, the range or root mean square error of the thermal radiation values ​​at all moments is calculated as the discrete degree.

[0058] It should be noted that variance, range and root mean square error can all be used to measure the degree of discreteness of a set of data, and they are all well-known calculations.

[0059] Preferably, a possible implementation of the difference is as follows:

[0060] In the i-th thermal radiation time series segment, the absolute values ​​of the differences between the thermal radiation values ​​at adjacent moments are calculated, and the sum of the absolute values ​​of the differences between the thermal radiation values ​​at all adjacent moments is taken as the difference.

[0061] Optionally, another possible implementation of the difference is as follows:

[0062] In the i-th thermal radiation time series segment, the absolute values ​​of the differences between the thermal radiation values ​​at adjacent moments are calculated, and the maximum value among the absolute values ​​of the differences between the thermal radiation values ​​at all adjacent moments is taken as the difference.

[0063] Preferably, a possible implementation of the target static degree is as follows:

[0064] The inverse of the product of the discrete degree and the difference is used as the target static degree.

[0065] Optionally, another possible implementation of the target static degree is as follows:

[0066] A normalized value of the product of the dispersion degree and the difference is calculated, and a difference value obtained by subtracting the normalized value from 1 is used as the target static degree.

[0067] It should be noted that: in this embodiment, when calculating the inverse of the product of the discrete degree and the difference, if the product of the discrete degree and the difference is 0, the target static degree is set to 1, and this is described as an example. The normalized value of the product of the discrete degree and the difference is calculated using the Norm() linear normalization function to normalize the data value to the interval [0,1].

[0068] It should be further explained that: when the radiation unit is an electrical appliance, the corresponding radiation value generally remains unchanged at different times, that is, the difference in thermal radiation values ​​at adjacent moments is close to 0, and the smaller the discreteness within the time series segment, the higher the corresponding target static degree.

[0069] According to the above method, the target static degree of each heat radiation time series sequence segment is obtained.

[0070] In the heat radiation timing sequence, adjacent heat radiation timing sequence segments with the same target static level constitute a continuous stage.

[0071] It should be noted that: if the target static levels of all thermal radiation timing sequence segments in the thermal radiation timing sequence are: 1, 1, 1, 2, 3, 3, 1, 1, then the target static levels are the same, and the continuous stages constituted by adjacent thermal radiation timing sequence segments are {1, 1, 1}, {2}, {3, 3} and {1, 1}, that is, the thermal radiation timing sequence segments corresponding to the individual target static levels also constitute continuous stages.

[0072] Step S003: Determine the target heat source credibility in each continuous stage according to the target static degree of the thermal radiation time sequence segment in each continuous stage and the size of the thermal radiation value at each moment; select the target continuous stage according to the size of the target heat source credibility in each continuous stage; and form a number of human activity stages with all the target continuous stages.

[0073] It should be noted that the infrared radiation value of the target can be further combined as the infrared quantity of the target to obtain the credibility of the target heat source. The lower the average radiation value of the target in the time period, the lower the corresponding target thermal infrared quantity, and the more likely it is that it is caused by a pet or other heat source with smaller thermal radiation, rather than a human body.

[0074] Preferably, in one embodiment of the present invention, the method for obtaining the human activity stage includes:

[0075] Taking the nth continuous stage as an example, in the nth continuous stage, the mean of the thermal radiation values ​​at all times is calculated, recorded as the first mean, and then the mean of the target static degree of all thermal radiation time series segments is calculated, recorded as the second mean, and the target heat source credibility in the nth continuous stage is determined according to the first mean and the second mean. Among them, the first mean is positively correlated with the target heat source credibility, and the second mean is negatively correlated with the target heat source credibility.

[0076] Preferably, a possible implementation method of the target heat source credibility is as follows:

[0077] The normalized value of the ratio of the first mean value to the second mean value is used as the target heat source credibility in the nth duration stage.

[0078] Optionally, another possible implementation of the target static degree is as follows:

[0079] The normalized value of the product of the inverse proportional value of the second mean and the first mean is used as the target heat source credibility in the nth duration stage.

[0080] It should be noted that: in this embodiment, the normalized value of the ratio of the first mean to the second mean, and the normalized value of the product of the inverse proportional value of the second mean and the first mean all use the Norm() linear normalization function to normalize the data value to the interval [0,1]. The inverse proportional value of the second mean, with the second mean as the independent variable, is negatively correlated and mapped by a negative correlation mapping function such as the exponential function exp(-α) with the natural constant e as the base, and the mapping result is used as the inverse proportional value of the second mean, α represents the independent variable. As mentioned above, the higher the degree of staticness, the more likely it is an electrical appliance in the environment (fans, air conditioners, kitchen appliances, etc.), so the corresponding credibility value is lower. And the lower the mean value of the heat source radiation value of the target, the more likely it is thermal radiation noise such as pets in the environment, so the corresponding target credibility is lower.

[0081] According to the above method, the target heat source credibility in each duration stage is obtained.

[0082] The preset trustworthy threshold is 0.7, and this is used as an example for description.

[0083] The continuous stage in which the credibility of the target heat source is greater than the preset credibility threshold is recorded as the target continuous stage.

[0084] In the thermal radiation timing sequence, adjacent target duration stages constitute the human activity stage.

[0085] It should be noted that: in the thermal radiation timing sequence, the target duration stage is 1 and the non-target duration stage is 0, forming a 01 sequence {1, 0, 0, 1, 1, 1, 0}. The human activity stages constituted by adjacent target duration stages are {1} and {1, 1, 1} respectively, that is, a single target duration stage also constitutes a human activity stage.

[0086] Step S004: Determine the lamp power coefficient value for each human activity stage according to the time interval between the target duration stages in each human activity stage; determine the lamp working power at the current moment according to the lamp power coefficient value for each human activity stage and the light brightness value in the light brightness timing sequence.

[0087] It should be noted that: since the greater the credibility of the target heat source, the more likely the duration is for human activity, further analysis is made based on human activities with higher credibility of the target heat source to determine the frequency of human activities at different times. When human activities are detected, the smaller the time interval between different activities, the higher the frequency of the activities. At this time, the higher the lamp power should be adjusted, and the larger the proportional coefficient should be.

[0088] Preferably, in one embodiment of the present invention, the method for obtaining the working power of the lamp at the current moment includes:

[0089] The preset constant is 1, and this is used as an example for description.

[0090] Taking the u-th human activity stage as an example, in the u-th human activity stage, the inverse proportional value of the time interval between the same sequence number moments in adjacent target duration stages is obtained, and the lamp power coefficient value of the u-th human activity stage is determined according to the inverse proportional value of the time interval and the number of target duration stages. The inverse proportional value of the time interval and the number of target duration stages are both positively correlated with the lamp power coefficient value.

[0091] Specifically, the lamp power coefficient value is obtained by calculating the product of the inverse proportional value of the time interval and the number of the target duration stages, and taking the normalized value of the product plus the sum of a preset constant as the lamp power coefficient value of the u-th human activity stage.

[0092] Preferably, a possible implementation of the inverse proportional value of the time interval is as follows:

[0093] In the u-th human activity stage, the reciprocal of the time interval between the first moment in the j-th target duration stage and the first moment in the j+1-th target duration stage is calculated, and the sum of the reciprocals of the time intervals between the first moments in all adjacent target duration stages is calculated as the inverse proportional value of the time interval.

[0094] Optionally, another possible implementation of the inverse proportional value of the time interval is as follows:

[0095] In the u-th human activity stage, the inverse proportional mapping value of the time interval between the first moment in the j-th target duration stage and the first moment in the j+1-th target duration stage is calculated, and the sum of the inverse proportional mapping values ​​of the time intervals between the first moments in all adjacent target duration stages is calculated as the inverse proportional value of the time interval.

[0096] It should be noted that: in this embodiment, the normalized value of the product uses the Norm() linear normalization function to normalize the data value to the interval [0,1]. In this embodiment, if there is only one target duration stage in the u-th human activity stage, the lamp power coefficient value of the u-th human activity stage is set to a preset constant. That is, the faster the target duration stage changes in a short period of time, the higher the frequency of human activities, and the brighter the lamp needs to be, to ensure the lighting effect when human activities are frequent. Therefore, through this lamp power control logic, the purpose of intelligent control of lamp power is achieved. The inverse proportional mapping value of the time interval at the first moment in the adjacent target duration stage takes the time interval at the first moment in the adjacent target duration stage as the independent variable, and performs negative correlation mapping through a negative correlation mapping function such as an exponential function exp(-α) with a natural constant e as the base, and the mapping result is used as the inverse proportional mapping value of the time interval at the first moment in the adjacent target duration stage, and α represents the independent variable.

[0097] In the thermal radiation timing sequence, the power coefficient value of the lamp in the last human activity stage is used as the proportional coefficient k at the current moment. t .

[0098] Calculate the initial working power w of the preset lamp 0 With the preset light threshold L 0 The product of is recorded as the first product, and the first product is multiplied by the light brightness value L at the current moment in the light brightness time series. t The ratio of the light brightness value at the last moment in the light brightness time series is recorded as the first ratio, and the first ratio is divided by the proportional coefficient k at the current moment. t The product of is the working power w of the lamp at the current moment. t .

[0099] It should be noted that: in this embodiment, the upper limit of the working power of the preset lamp is 100 watts. t If it is greater than 100 watts, then the current working power of the lamp is w tThe power of the lamp is 100 watts, and in this embodiment, the frequency of updating the light sensor reading (5 times per minute) is used as the frequency of adjusting the working power of the lamp. This achieves the purpose of real-time closed-loop control of the light switch and brightness of the ceiling lamp. The current moment of the lamp working power acquisition flow chart is as follows: Figure 2 shown.

[0100] The present invention also provides a lighting control system for an integrated ceiling, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program stored in the memory to implement the steps of the aforementioned lighting control method for an integrated ceiling.

[0101] So far, the present invention is completed.

[0102] In summary, in an embodiment of the present invention, the light illuminance timing sequence and the heat radiation timing sequence in the room where the ceiling lamp is working are obtained, and the heat radiation timing sequence segments are equally divided, and the target static degree of the heat radiation timing sequence segments is determined, so that all the heat radiation timing sequence segments are composed of several continuous stages, and the credibility of the target heat source in each continuous stage is determined to screen out the target continuous stage, and all the target continuous stages are composed of several human activity stages, and the power coefficient value of the lamp in each human activity stage is determined, so as to determine the working power of the lamp at the current moment. The present invention analyzes the heat source with credibility, analyzes the frequency of such heat source target activity process, and then determines the user's demand for high-brightness lights, and uses it as a parameter factor for brightness adjustment to assist the ambient light value in intelligent control of lights.

[0103] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A lighting control method for an integrated ceiling, characterized in that: The method comprises the following steps: Obtain the time series of light illumination and heat radiation in the room where the ceiling lamp is working; The thermal radiation time sequence is equally divided into a number of thermal radiation time sequence segments; according to the change of the thermal radiation value at different times in each thermal radiation time sequence segment, the target static degree of the thermal radiation time sequence segment is determined; according to the size of the target static degree, all the thermal radiation time sequence segments are combined into a number of continuous stages; According to the target static degree of the thermal radiation time sequence segment in each continuous stage and the size of the thermal radiation value at each moment, the credibility of the target heat source in each continuous stage is determined; according to the size of the credibility of the target heat source in each continuous stage, the target continuous stage is screened out; all the target continuous stages are used to form a number of human activity stages; According to the time interval between the target duration stages in each human activity stage, the power coefficient value of the lamp in each human activity stage is determined; according to the power coefficient value of the lamp in each human activity stage and the size of the light brightness value in the light brightness timing sequence, the working power of the lamp at the current moment is determined.

2. The lighting control method for integrated ceiling according to claim 1, characterized in that: The step of equally dividing the thermal radiation time series into a plurality of thermal radiation time series segments includes the following specific steps: A segmentation time length S is preset to equally divide the thermal radiation time series sequence into a number of thermal radiation time series sequence segments with a time length of S.

3. The lighting control method for integrated ceiling according to claim 1, characterized in that: The specific steps of determining the target static degree of each thermal radiation time series segment according to the change of the thermal radiation value at different times in each thermal radiation time series segment are as follows: In the i-th thermal radiation timing sequence segment, the discrete degree of the thermal radiation values ​​at all moments is obtained, and then the difference between the thermal radiation values ​​at adjacent moments is obtained, and the target static degree of the i-th thermal radiation timing sequence segment is determined according to the discrete degree and the difference; wherein the discrete degree and the difference are both negatively correlated with the target static degree.

4. The lighting control method for an integrated ceiling according to claim 1, characterized in that: According to the static degree of the target, all thermal radiation time sequence segments are used to form several continuous stages, including the following specific steps: In the heat radiation timing sequence, adjacent heat radiation timing sequence segments with the same target static level constitute a continuous stage.

5. The lighting control method for integrated ceiling according to claim 1, characterized in that: The specific steps of determining the target heat source credibility in each continuous stage according to the target static degree of the heat radiation time sequence segment in each continuous stage and the size of the heat radiation value at each moment are as follows: In the nth continuous stage, the mean of the thermal radiation values ​​at all times is calculated, recorded as the first mean, and then the mean of the target static degree of all thermal radiation time series sequence segments is calculated, recorded as the second mean, and the target heat source credibility in the nth continuous stage is determined according to the first mean and the second mean; wherein the first mean is positively correlated with the target heat source credibility, and the second mean is negatively correlated with the target heat source credibility.

6. The lighting control method for integrated ceiling according to claim 1, characterized in that: The specific steps of screening out the target continuous stage according to the credibility of the target heat source in each continuous stage are as follows: The continuous stage in which the credibility of the target heat source is greater than the preset credibility threshold is recorded as the target continuous stage.

7. The lighting control method for an integrated ceiling according to claim 1, characterized in that: The above-mentioned several individual physical activity stages are composed of all target duration stages, and the specific steps included are as follows: In the thermal radiation timing sequence, adjacent target duration stages constitute the human activity stage.

8. The lighting control method for integrated ceiling according to claim 1, characterized in that: The specific steps of determining the lamp power coefficient value of each human activity stage according to the time interval between the target duration stages in each human activity stage are as follows: In the u-th human activity stage, the inverse proportional value of the time interval between the same sequence moments in adjacent target duration stages is obtained, and the lamp power coefficient value of the u-th human activity stage is determined according to the inverse proportional value of the time interval and the number of target duration stages; wherein the inverse proportional value of the time interval and the number of target duration stages are both positively correlated with the lamp power coefficient value.

9. The lighting control method for an integrated ceiling according to claim 1, characterized in that: The specific steps of determining the working power of the lamp at the current moment according to the lamp power coefficient value of each human activity stage and the light illuminance value in the light illuminance time sequence are as follows: In the thermal radiation time series, the power coefficient value of the lamp in the last human activity stage is used as the proportional coefficient at the current moment; Calculate the product of the initial working power of the preset lamp and the preset light threshold, recorded as the first product, the ratio of the first product to the light brightness value at the current moment in the light brightness time series sequence, recorded as the first ratio, and the product of the first ratio and the proportional coefficient at the current moment is used as the working power of the lamp at the current moment.

10. A lighting control system for an integrated ceiling, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the computer program is executed by a processor, the steps of the lighting control method for an integrated ceiling as described in any one of claims 1 to 9 are implemented.

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