Light control method and system for integrated ceiling

Abstract

The present application relates to the field of new lighting technology, and more particularly to a light control method and system for integrated ceiling, comprising: obtaining the light intensity time sequence and the thermal radiation time sequence in the room where the ceiling lamp is working, dividing the thermal radiation time sequence into several segments, determining the target static degree of the thermal radiation time sequence segment, so as to form several continuous stages with all the thermal radiation time sequence segments, determining the target heat source credibility in each continuous stage, filtering out the target continuous stage, forming several human activity stages with all the target continuous stages, determining the lamp power coefficient value of each human activity stage, and determining the working power of the lamp at the current moment. The present application analyzes the heat source with credibility, analyzes the frequency of the target activity process of such heat source, determines the demand degree of the user for high brightness light, and uses the demand degree as a parameter factor for brightness adjustment, to assist the intelligent control of the light by the ambient light value.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of new lighting technology, in particular to a light control method and system for integrated ceiling. BACKGROUND

[0002] Integrated ceiling generally refers to a modern ceiling design that not only serves aesthetic and decorative purposes but also integrates various functional modules such as lighting, ventilation, air conditioning, and audio systems. Integrated ceilings are commonly found in spaces such as kitchens, bathrooms, and offices, and they can integrate various facilities into a unified ceiling structure, facilitating installation and maintenance while enhancing the overall aesthetics of the space. The light control system of the integrated ceiling is usually realized through the integration of lamps (such as LED lamps) and environmental sensing devices (such as related light intensity sensors) to achieve intelligent control. Such sensors adjust the brightness and color temperature of the lamps according to environmental changes, optimize the lighting effect, 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 to achieve lamp brightness adjustment.

[0003] Light sensors are generally used to detect real-time ambient light intensity. By integrating the sensor with the lamp into the ceiling and coordinating the control of the light switch or intensity, it is determined whether automatic lighting or lamp brightness adjustment is needed. Through this method of control, the integrated ceiling system can sense environmental changes in real time and dynamically adjust the brightness and color temperature of the lamps according to the sensor parameters to improve the user's living experience. Through intelligent sensing and adjustment logic, the system automatically achieves lighting effects, improves energy utilization efficiency, and realizes a more comfortable living environment.

[0004] The problem now is that in the control system, the brightness of the related lamps is adjusted by the light intensity. In unnecessary cases, such as when there is no related human activity that requires lighting in the environment, the light intensity adjustment control will consume a certain amount of energy, and the analysis through sound cannot achieve precise light intensity value adjustment, so it cannot achieve the purpose of intelligent adjustment control. SUMMARY

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

[0006] The light control method and system for integrated ceiling of the present application adopt the following technical solutions:

[0007] One embodiment of the present application provides a light control method for integrated ceiling, which comprises the following steps:

[0008] Obtain the light intensity time sequence and thermal radiation time sequence in the room where the ceiling lamp is working;

[0009] equally divide the heat radiation time sequence into a plurality of heat radiation time sequence segments; determine a target static degree of each heat radiation time sequence segment according to changes of heat radiation values at different time points in the heat radiation time sequence segment; determine a plurality of continuous stages according to the target static degrees of the heat radiation time sequence segments;

[0010] determine a target heat source credibility in each continuous stage according to the target static degrees of the heat radiation time sequence segments in the continuous stage and sizes of the heat radiation values at each time point; select a target continuous stage according to the target heat source credibility in each continuous stage; and determine a plurality of human activity stages according to the target continuous stages.

[0011] determine a lamp power coefficient value of each human activity stage according to time intervals between the target continuous stages in the human activity stage; and determine a working power of a lamp at a current time point according to the lamp power coefficient value of the human activity stage and a size of an illumination value in the illumination time sequence.

[0012] Further, the step of equally dividing the heat radiation time sequence into a plurality of heat radiation time sequence segments comprises the following specific steps:

[0013] a segment duration S is preset, and the heat radiation time sequence is equally divided into a plurality of heat radiation time sequence segments with the segment duration S.

[0014] Further, the step of determining a target static degree of each heat radiation time sequence segment according to changes of heat radiation values at different time points in the heat radiation time sequence segment comprises the following specific steps:

[0015] in the i th heat radiation time sequence segment, a dispersion degree of the heat radiation values at all time points is obtained, a difference between heat radiation values at adjacent time points is obtained, and a target static degree of the i th heat radiation time sequence segment is determined according to the dispersion degree and the difference; wherein the dispersion degree and the difference are negatively correlated with the target static degree.

[0016] Further, the step of determining a plurality of continuous stages according to the target static degrees of the heat radiation time sequence segments comprises the following specific steps:

[0017] in the heat radiation time sequence, heat radiation time sequence segments with the same target static degree and adjacent to each other form a continuous stage.

[0018] Further, the step of determining a target heat source credibility in each continuous stage according to the target static degrees of the heat radiation time sequence segments in the continuous stage and sizes of the heat radiation values at each time point comprises the following specific steps:

[0019] In the n-th duration stage, a mean value of the thermal radiation values at all time points is calculated and denoted as a first mean value, a mean value of the target static degrees of all thermal radiation time sequence segments is calculated and denoted as a second mean value, and a target heat source credibility in the n-th duration stage is determined according to the first mean value and the second mean value; wherein the first mean value is positively correlated with the target heat source credibility, and the second mean value is negatively correlated with the target heat source credibility.

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

[0021] The duration stage in which the target heat source credibility is greater than a preset credibility threshold is denoted as a target duration stage.

[0022] Further, the several human body activity stages are composed of all the target duration stages, and the specific steps include the following:

[0023] In the thermal radiation time sequence, the adjacent target duration stages are constructed into a human body activity stage.

[0024] Further, the lamp power coefficient value of each human body activity stage is determined according to the time interval between the target duration stages in each human body activity stage, and the specific steps include the following:

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

[0026] Further, the lamp working power at the current time point is determined according to the lamp power coefficient value of each human body activity stage and the size of the illumination intensity value in the illumination intensity time sequence, and the specific steps include the following:

[0027] In the thermal radiation time sequence, the lamp power coefficient value of the last human body activity stage is taken as a proportional coefficient at the current time point;

[0028] A product of an initial working power of a preset lamp and a preset illumination threshold is calculated and denoted as a first product, a ratio of the first product to an illumination intensity value at the current time point in the illumination intensity time sequence is denoted as a first ratio, and a product of the first ratio and the proportional coefficient at the current time point is taken as the lamp working power at the current time point.

[0029] The application further provides a light 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 realize the steps of the light control method for the integrated ceiling.

[0030] The technical scheme of the application has the beneficial effects that:

[0031] In the embodiment of the application, the light illumination time sequence and the thermal radiation time sequence in a room where the ceiling lamp is working are acquired, and a plurality of thermal radiation time sequence segments are equally divided, so that the integrated infrared sensor is used and the infrared result is analyzed to achieve the purpose of intelligent light brightness adjustment. The target static degree of the thermal radiation time sequence segment is acquired, so that a plurality of continuous stages are formed by all the thermal radiation time sequence segments, the target heat source credibility in each continuous stage is determined, and the target continuous stage is screened out, a plurality of human activity stages are formed by all the target continuous stages, so that in the process of infrared analysis on the ceiling, the heat source noise is identified by analyzing the static degree in the heat source and the corresponding infrared amount, and the misjudgment effect caused by the existence of other noises with heat releasing properties in the environment is prevented. The lamp power coefficient value of each human activity stage is acquired, so that the working power of the lamp at the current moment is determined. Thus, the heat source with credibility is analyzed, the frequency of the target activity of the heat source is analyzed, the demand degree of the user for high brightness light is determined, and the demand degree is used as a parameter factor for brightness adjustment to assist the intelligent control of the light by the ambient light value. BRIEF DESCRIPTION OF DRAWINGS

[0032] In order to more clearly illustrate the technical scheme in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only show some embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0033] Figure 1 The flowchart of the steps of the light control method for the integrated ceiling of the application is shown in the figure.

[0034] Figure 2 The flowchart of the working power of the lamp at the current moment is shown in the figure. DETAILED DESCRIPTION

[0035] In order to further clarify the technical means and effects taken by the present application to achieve the predetermined inventive purpose, the specific embodiments, structures, features and effects of the light control method and system for integrated ceiling according to the present application are described in detail below in combination with the drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0036] Unless otherwise defined, 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 application belongs.

[0037] The specific scheme of the light control method and system for integrated ceiling provided by the present application is specifically described below in combination with the drawings.

[0038] Please refer to Figure 1 which shows the step flow chart of the light control method for integrated ceiling provided by one embodiment of the present application, which comprises the following steps:

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

[0040] It should be noted that in the light control system for integrated ceiling, the light intensity is used to adjust the brightness of the related lamps, and when it is unnecessary, for example, there is no related human activity that needs light in the environment, the light intensity adjustment control will consume a certain amount of energy, and when the sound is analyzed, it cannot accurately adjust the light brightness value, so it cannot achieve the purpose of intelligent adjustment control. In order to solve this problem, the present embodiment realizes it in the following way: first, on the integrated ceiling, in addition to the necessary light and light sensor, an infrared sensor is added to monitor the user's behavior in real time, and the specific light brightness is indirectly adjusted according to the frequency of the behavior activity combined with the real-time light value; on the basis of the behavior activity, add a corresponding anti-interference data analysis module to prevent the interference of other heat sources (air conditioner, heater, fan or pet, etc.) to the user behavior detection, so as to achieve the purpose of integrated control of ceiling intelligent light.

[0041] In the room where the ceiling lamp is installed, the light intensity value and the thermal radiation value of the ceiling lamp when it is working are collected in real time to form the light intensity time sequence and the thermal radiation time sequence.

[0042] It is required to be explained: in this embodiment, the light sensor is used to collect the light intensity value in real time, the update frequency of the light sensor reading is 5 times per minute, the infrared sensor is used to collect the thermal radiation value in real time, the update frequency of the infrared sensor reading is 2 times per second, and this is described as an example, that is, the second light intensity value in the light intensity time sequence corresponds to the 20th second collected, and the 40th thermal radiation value in the thermal radiation time sequence corresponds to the 20th second collected.

[0043] It is further required to be explained that the integrated ceiling lamp environment, the configuration of the environmental sensor and the data processing and the intelligent control module for light control according to the processing result include: integrated ceiling lamp and sensor; the ceiling lamp is installed at the central position of the room, the purpose is to ensure uniform light coverage; the sensor is arranged to install the light sensor at the center of the room, so as to be able to monitor the indoor light intensity in real time, specifically installed in a corner of the ceiling or the center of the ceiling of the room, at a height of 1.5 to 2 meters from the ground, the infrared sensor (PIR sensor) is installed on the ceiling of the room, to ensure that the whole 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 detects the change of indoor light intensity combined with the infrared result to determine whether the light brightness needs to be turned on or adjusted, the working light intensity range is between 0 and 1000 lux, the infrared sensor (PIR sensor) monitors the thermal radiation of human body, and triggers the light control when the human body is sensed, the sensing distance is 3 to 8 meters; the sensor data processing and light control are that the light sensor feeds back the indoor light intensity in real time, and the infrared sensor detects the presence of human body, to trigger the switch or brightness adjustment of the light. The system will calculate according to the real-time data provided by the two sensors to determine whether the light brightness needs to be increased or the lamp is turned off; finally, according to the input of the sensor, the intelligent control module processes the 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 time sequence into several thermal radiation time sequence segments; according to the change of thermal radiation value at different time in each thermal radiation time sequence segment, determine the target static degree of the thermal radiation time sequence segment; according to the size of the target static degree, all thermal radiation time sequence segments form several continuous stages.

[0045] It is required to be explained: in this embodiment, by acquiring real-time sensor data, analyzing the illumination value, preliminarily dividing the lamp brightness, and then analyzing the real-time infrared target static degree, combining the target infrared quantity, distributing the target heat source credibility, finally acquiring the high credibility target, calculating the target activity frequency, and assisting the regulation of the lamp brightness according to the frequency, the purpose of intelligent light control is achieved. The light control has the control effect of turning on and off the light and the light intensity, wherein whether to turn on or off the light is usually controlled by the light value and sound in the environment and other factors. However, for some more detailed control, such as the judgment of the light value, the weak degree, the environmental light demand and the like, the judgment ability is not possessed. Therefore, on the basis of the original light analysis logic, the judgment analysis logic of the user behavior in the environment and the analysis judgment of the behavior characteristics related to the light demand are added, so as to achieve the purpose of intelligent light control. Through the infrared heat sensor, the behavior activity frequency of the user in the environment is analyzed in real time, and the light brightness is adjusted according to the frequency. In the process of assisting the regulation, there may be interference of other heat sources in the environment, which may cause noise misjudgment, so the target credibility needs to be analyzed before the analysis. In the light control environment, the precondition of the light degree regulation is to turn on the light, and whether to turn on the light and the light brightness in the initial state are analyzed and obtained according to the real-time light value. Therefore, when the system receives the real-time reading of the sensor, the light value is analyzed first, and the initial setting of the light on or off and the brightness value is performed according to the light value.

[0046] The preset light threshold L0 is 200 lux, and the preset initial working power w0 of the lamp is 50 watts. Taking this as an example for description. When the light brightness value in the room is less than or equal to 200 lux, the control system of the ceiling light works, the lamp switch is turned on, and the initial lamp working power value of 50 watts is given. After that, the light control is performed by monitoring the sensor data of the ceiling lamp working in this embodiment, that is, as the environmental light value further decreases, the working power of the lamp increases accordingly, satisfying the proportional relationship: That is, Wherein L t is the light brightness value at the current time (the light brightness value at the last time in the light brightness time sequence), k t is the proportional coefficient at the current time, and w t is the lamp working power at the current time, that is, the smaller L t is, the larger w t should be. Among them, the proportional coefficient is given through subsequent analysis. With the further decrease of the environmental lux value, the power value of the lamp under the initial configuration further increases until the maximum working power. At this time, the initial lamp brightness change relationship configuration is completed.

[0047] It is required to be explained that on the basis of the above, it is required to further analyze the real-time lighting demand degree, the lighting demand degree is based on whether the user activity in the environment and the activity degree thereof, and the activity degree is analyzed and judged by the reading value of the infrared sensor. The real-time infrared sensor reading value is obtained, the higher the heat radiation caused by the infrared target, the closer the distance, and 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 heat radiation. Specifically, the infrared sensor is easily affected by misjudgment, especially when other heat sources (such as air conditioners, heaters or electrical appliances) in the sensing range change, the heat radiation of such devices may be misidentified by the sensor as the movement or existence of a human body. For example, after a person briefly moves in the room, the electrical appliances left on after leaving, including kitchen utensils, etc., may cause the light to be accidentally turned on. And the infrared sensor is very sensitive to large temperature changes (such as human body temperature), but it can 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 in the infrared heat radiation involved in controlling the brightness of the lamp, it is required to analyze the heat radiation value of each infrared target to determine the credibility of the corresponding heat source, that is, the heat radiation value generated by such noise needs to be quantitatively analyzed.

[0048] It is further required to be explained that although the electrical appliances in the environment cause a certain degree of heat radiation, since their corresponding positions are fixed and the radiation values are stable, the corresponding radiation values are relatively fixed when monitoring the heat radiation at different times, 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 heat radiation value changes in reading, it is considered that a heat radiation target appears, at this time, the target may be an electrical appliance that has just been turned on, a pet or a human body. When it is an electrical appliance, the reading remains unchanged when the heat radiation rises to a certain degree, that is, the static value of the target is high. As for pets, since they are far away from the infrared sensor in the ceiling and the heat radiation value they generate is smaller than that of electrical appliances and human bodies, the heat radiation value of the target is relatively low, and the credibility of the corresponding target heat source is relatively low, that is, it is considered to be environmental noise.

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

[0050] The preset segment length S is 1 minute, which is taken as an example for description.

[0051] The heat radiation time sequence is equally divided into a plurality of heat radiation time sequence segments with a length of S.

[0052] It is required to be explained: from the current time, in the reverse time order, each minute constitutes a thermal radiation time sequence segment, if the last thermal radiation time sequence segment is less than one minute, the last thermal radiation time sequence segment is not included in the subsequent analysis.

[0053] Taking the i th thermal radiation time sequence segment as an example, in the i th thermal radiation time sequence segment, the dispersion degree of the thermal radiation values of all time points is obtained, and the difference between the thermal radiation values of adjacent time points is obtained, and the target static degree of the i th thermal radiation time sequence segment is determined according to the dispersion degree and the difference. Wherein, the dispersion degree and the difference are negatively correlated with the target static degree.

[0054] Preferably, one possible implementation of the dispersion degree is as follows:

[0055] In the i th thermal radiation time sequence segment, the variance of the thermal radiation values of all time points is calculated as the dispersion degree.

[0056] Optionally, another possible implementation of the dispersion degree is as follows:

[0057] In the i th thermal radiation time sequence segment, the range or root mean square error of the thermal radiation values of all time points is calculated as the dispersion degree.

[0058] It is required to be explained: the variance, range and root mean square error can be used to measure the dispersion degree of a group of data, and are all well-known calculations.

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

[0060] In the i th thermal radiation time sequence segment, the absolute value of the difference between the thermal radiation values of adjacent time points is calculated, and the sum of the absolute values of the differences between the thermal radiation values of all adjacent time points is taken as the difference.

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

[0062] In the i th thermal radiation time sequence segment, the absolute value of the difference between the thermal radiation values of adjacent time points is calculated, and the maximum value of the absolute values of the differences between the thermal radiation values of all adjacent time points is taken as the difference.

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

[0064] The reciprocal of the product of the dispersion degree and the difference is taken as the target static degree.

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

[0066] The normalized value of the product of the discrete degree and the difference is calculated, and the difference between 1 and the normalized value is taken as the target static degree.

[0067] It should be noted that in the 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 1. 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 [0, 1] interval.

[0068] Further, when the radiation unit is an electrical appliance, the corresponding radiation value generally remains unchanged at different times, that is, the difference between the thermal radiation values at adjacent moments is close to 0, and the smaller the discrete degree in the time sequence segment, the higher the corresponding target static degree.

[0069] In the above manner, the target static degree of each thermal radiation time sequence segment is obtained.

[0070] In the thermal radiation time sequence, the target static degrees of adjacent thermal radiation time sequence segments are the same, and the adjacent thermal radiation time sequence segments form a continuous phase.

[0071] It should be noted that if the target static degrees of all thermal radiation time sequence segments in the thermal radiation time sequence are 1, 1, 1, 2, 3, 3, 1, and 1 in turn, the target static degrees of the continuous phases formed by the thermal radiation time sequence segments with the same target static degree are {1, 1, 1}, {2}, {3, 3}, and {1, 1}, that is, the thermal radiation time sequence segments corresponding to the individual target static degrees also form continuous phases.

[0072] Step S003: According to the target static degree of the thermal radiation time sequence segment in each continuous phase and the size of the thermal radiation value at each moment, the target heat source credibility in each continuous phase is determined; according to the size of the target heat source credibility in each continuous phase, the target continuous phase is screened out; and all target continuous phases form a plurality of human activity phases.

[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 heat infrared quantity, and the more likely it is to be caused by a pet or other smaller heat radiation heat source rather than a human body.

[0074] Preferably, in an embodiment of the present application, the method for obtaining the human activity phase comprises:

[0075] Taking the nth duration stage as an example, in the nth duration stage, a mean value of the thermal radiation values at all time points is calculated and denoted as a first mean value, and a mean value of the target static degrees of all thermal radiation time sequence segments is calculated and denoted as a second mean value, and according to the first mean value and the second mean value, the target heat source reliability in the nth duration stage is determined. The first mean value is positively correlated with the target heat source reliability, and the second mean value is negatively correlated with the target heat source reliability.

[0076] Preferably, one possible implementation manner of the target heat source reliability is as follows:

[0077] A normalized value of a ratio of the first mean value to the second mean value is taken as the target heat source reliability in the nth duration stage.

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

[0079] A normalized value of a product of an inverse proportional value of the second mean value and the first mean value is taken as the target heat source reliability in the nth duration stage.

[0080] It is required to be explained that in the embodiment, the normalized value of the ratio of the first mean value to the second mean value and the normalized value of the product of the inverse proportional value of the second mean value and the first mean value are both normalized to the interval [0, 1] by using a Norm() linear normalization function. The inverse proportional value of the second mean value is negatively correlated by using a negative correlation mapping function such as an exponential function exp(-α) with a natural constant e as a base number, with the second mean value as an independent variable, and a mapping result is taken as the inverse proportional value of the second mean value, and α represents the independent variable. As described above, the higher the degree of static is, the more likely it is an electric appliance (a fan, an air conditioner, a kitchen appliance, etc.) in the environment, and therefore the lower the corresponding reliability value is. And the lower the mean value of the target heat source radiation value is, the more likely it is a pet or other thermal radiation noise in the environment, and therefore the lower the corresponding target reliability is.

[0081] In the above manner, the target heat source reliability in each duration stage is obtained.

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

[0083] A duration stage in which the target heat source reliability is greater than the preset reliability threshold is denoted as a target duration stage.

[0084] In the thermal radiation time sequence, adjacent target duration stages are taken to construct a human activity stage.

[0085] It is required to be explained that in the heat radiation time sequence, the target duration stage is 1 and the non-target duration stage is 0, which constitutes the 01 sequence {1, 0, 0, 1, 1, 1, 0}, and the adjacent target duration stages constitute the human activity stages {1} and {1, 1, 1} respectively, that is, the single target duration stage also constitutes the human activity stage.

[0086] Step S004: 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; and 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 size of the illumination intensity value in the illumination intensity time sequence.

[0087] It is required to be explained that the greater the target heat source credibility is, the more likely the duration stage is the human activity period, and further, the human activity frequency at different times is analyzed according to the human activity with higher target heat source credibility. When the human activity is detected, the smaller the time interval of different activities is, the higher the activity frequency is, and at this time, the lamp power should be adjusted higher, and then the proportional coefficient should be amplified.

[0088] Preferably, in an embodiment of the present application, the method for obtaining the working power of the lamp at the current moment comprises:

[0089] The preset constant is 1, which is described as an example.

[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 moments in the 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 target duration stages, and adding the normalized value of the product and the sum of the preset constant to the u-th human activity stage as the lamp power coefficient value.

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

[0093] In the u-th human activity stage, the inverse 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 inverses of the time intervals of 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 ratio value of the time interval is as follows:

[0095] In the u-th human activity phase, the inverse ratio mapping value of the time interval between the first time in the j-th target duration phase and the first time in the j+1-th target duration phase is calculated, and the sum of the inverse ratio mapping values of the time intervals between the first times in all adjacent target duration phases is calculated as the inverse ratio value of the time interval.

[0096] It should be noted that in this embodiment, the normalized value of the product is normalized to the interval [0, 1] using the linear normalization function Norm(). In this embodiment, if there is only one target duration phase in the u-th human activity phase, the lamp power coefficient value of the u-th human activity phase is a preset constant. That is, the faster the target duration phase changes in a short time, the higher the human activity frequency, the brighter the lamp needs to be, and the lighting effect when the human activity is frequent is ensured, thereby achieving the intelligent control purpose of the lamp power through this lamp power control logic. The inverse ratio mapping value of the time interval between the first times in adjacent target duration phases is mapped by a negative correlation mapping function such as an exponential function exp(-α) with a natural constant e as the base, with the time interval between the first times in adjacent target duration phases as the independent variable. The mapping result is the inverse ratio mapping value of the time interval between the first times in adjacent target duration phases, and α represents the independent variable.

[0097] In the thermal radiation time sequence, the lamp power coefficient value of the last human activity phase is taken as the proportionality coefficient k t .

[0098] The product of the initial working power w0 of the preset lamp and the preset illumination threshold L0 is calculated, denoted as the first product. The ratio of the first product to the illumination value L t (the illumination value at the last time in the illumination time sequence) at the current time in the illumination time sequence is denoted as the first ratio. The product of the first ratio and the proportionality coefficient k t at the current time is taken as the lamp working power w t at the current time.

[0099] It should be noted that in this embodiment, the upper limit of the working power of the preset lamp is 100 watts. If the lamp working power w t at the current time is greater than 100 watts, the lamp working power w t at the current time is set to 100 watts, and in this embodiment, the update frequency of the illumination sensor reading (5 times per minute) is taken as the adjustment frequency of the lamp working power. Thus, the real-time closed-loop control purpose of the ceiling lamp light switch and brightness is achieved. The lamp working power acquisition process at the current time is shown in the following figure:Figure 2 as shown.

[0100] The application further provides a light control system for integrated ceiling, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor executes the computer program stored in the memory to realize the steps of the aforementioned light control method for integrated ceiling.

[0101] Thus far, the application is completed.

[0102] To sum up, in the embodiment of the application, the light illumination time sequence and the thermal radiation time sequence in the room where the ceiling lamp is working are acquired, a plurality of thermal radiation time sequence segments are equally divided, the target static degree of the thermal radiation time sequence segment is determined, a plurality of continuous stages are formed by all the thermal radiation time sequence segments, the target heat source credibility in each continuous stage is determined, the target continuous stage is screened out, a plurality of human activity stages are formed by all the target continuous stages, the lamp power coefficient value of each human activity stage is determined, and the working power of the lamp at the current moment is determined. The application analyzes the heat source with credibility, analyzes the frequency of the target activity process of such heat source, determines the demand degree of the user for high brightness light, and takes the demand degree as a parameter factor of brightness adjustment to assist the intelligent control of the light by the ambient light value.

[0103] The above only describes the preferred embodiments of the application and is not used to limit the application, and any modification, equivalent replacement, improvement, etc. within the principles of the application should be included in the protection scope of the application.

Claims

1. A lighting control method for integrated ceiling systems, characterized in that, The method includes the following steps: Obtain the time series sequence of light intensity and thermal radiation in the room where the ceiling lights are operating; The thermal radiation time series is divided into several equal segments; based on the changes in thermal radiation values ​​at different times within each segment, the target static degree of the thermal radiation time series segment is determined, including: in the... In each thermal radiation time series segment, the dispersion of thermal radiation values ​​at all times is obtained, and then the difference between thermal radiation values ​​at adjacent times is obtained. Based on the dispersion and the difference, the th... The static degree of the target is measured in a thermal radiation time series segment; among which, both the degree of dispersion and the difference are negatively correlated with the static degree of the target. Based on the degree of staticity of the target, several continuous stages are formed by all thermal radiation time sequence segments; Based on the target staticity of the thermal radiation time series segment within each duration and the magnitude of the thermal radiation value at each moment, the reliability of the target heat source within each duration is determined, including: in the... Within a continuous phase, the mean of thermal radiation values ​​at all times is calculated and denoted as the first mean. Then, the mean of the target static degree for all thermal radiation time series segments is calculated and denoted as the second mean. Based on the first mean and the second mean, the target static degree for the next phase is determined. The credibility of the target heat source within a continuous period; wherein, the first mean is positively correlated with the credibility of the target heat source, and the second mean is negatively correlated with the credibility of the target heat source; Based on the credibility of the target heat source within each duration phase, target duration phases are selected; all target duration phases are then combined to form several human activity phases. Based on the time interval between target duration phases within each phase of human activity, determine the luminaire power factor value for each phase of human activity, including: in the first... During the individual's physical activity phase, obtain the inverse proportional value of the time interval between time points with the same sequence number within adjacent target duration phases. Based on the inverse proportional value of the time interval and the number of target duration phases, determine the [number of]th [target]. The luminaire power coefficient values ​​for individual human activity phases; among them, the inverse proportional value of the time interval and the number of target duration phases are both positively correlated with the luminaire power coefficient values; The operating power of the lamps at the current moment is determined based on the lamp power coefficient value of each stage of human activity and the magnitude of the illuminance value in the illuminance time sequence. This includes: in the thermal radiation time sequence, taking the lamp power coefficient value of the last stage of human activity as the proportional coefficient of the current moment; calculating the product of the preset initial operating power of the lamps and the preset illuminance threshold, denoted as the first product; the ratio of the first product to the illuminance value of the current moment in the illuminance time sequence, denoted as the first ratio; and the product of the first ratio and the proportional coefficient of the current moment as the operating power of the lamps at the current moment.

2. The lighting control method for integrated ceilings according to claim 1, characterized in that, The thermal radiation time series is divided into several equal segments, and the specific steps are as follows: Preset segment duration The thermal radiation time series is divided into several time periods of equal duration. The thermal radiation time series segment.

3. The lighting control method for integrated ceilings according to claim 1, characterized in that, Based on the degree of staticity of the target, several continuous stages are composed of all thermal radiation time series segments, including the following specific steps: In a thermal radiation time series, adjacent thermal radiation time series segments with the same static degree of the target constitute a continuous stage.

4. The lighting control method for integrated ceilings according to claim 1, characterized in that, The target duration phases are selected based on the credibility of the target heat source within each duration phase. The specific steps include the following: The period during which the credibility of the target heat source exceeds a preset credibility threshold is denoted as the target duration.

5. The lighting control method for integrated ceilings according to claim 1, characterized in that, The entire target duration is composed of several individual activity phases, including the following specific steps: In the thermal radiation time series, the phases of human activity are constituted by the continuous phases of adjacent targets.

6. A lighting control system for integrated ceiling systems, 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 the processor, it implements the steps of the lighting control method for integrated ceilings as described in any one of claims 1-5.

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