An intelligent control method, system, device and medium for indoor lighting

Abstract

The present invention relates to the field of lighting control technology, and specifically relates to an intelligent regulation method, system, device and medium for indoor lighting, including: configuring indoor illuminance sensors, human body monitoring devices and electrically controllable lamps; determining the relationship between the regulation state of the electrically controllable lamps and the indoor illuminance in the state of no natural light, dividing the personnel states and respectively determining the appropriate illuminance intervals, and determining the initial values of the indoor personnel state parameters at each time period; collecting and storing the Internet of Things parameters of the area to be illuminated in real time; judging the current indoor personnel state, evaluating the current lighting environment state, and making a decision on the lighting environment state to be achieved; generating adjustment actions; executing the adjustment actions and looping; switching the indoor personnel state parameters after the time period conversion; and updating the data at specific times. The present invention can dynamically adjust the indoor lighting environment state, provide personalized lighting that meets the activity needs of indoor personnel, continuously provide precise lighting control services, and improve the energy utilization efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of lighting control, and particularly relates to an intelligent regulation method, system, device and medium for indoor lighting. Background Art

[0002] With the development of home intelligence and automation, users' demands for indoor lighting are no longer limited to simply illuminating the indoor space, but pay more attention to the mutual coordination among lighting effects, human comfort, energy conservation and environmental adaptability. In various building places, such as office buildings, commercial centers, residences, etc., intelligent lighting systems are gradually introduced to improve the indoor environmental quality and usage experience.

[0003] In related technologies, some intelligent lighting systems use illuminance sensors to sense the indoor environmental brightness. When it is detected that the indoor environmental brightness is lower than the manually set threshold, the lamps are automatically turned on for lighting; some other intelligent lighting systems will combine human body sensing technology, such as using devices like infrared sensors to detect whether there are people in the room, and then determine the on-off state of the lamps, so as to achieve a certain degree of energy-saving effect.

[0004] However, in related technologies, the intelligent lighting system that uses illuminance sensors to sense the indoor environmental brightness adjusts the indoor environmental brightness only by setting a specific lighting threshold. However, in the case of different indoor environments, detection positions and users, a large number of debuggings are required to determine the specific lighting threshold, and the lighting threshold cannot be adaptively changed when the indoor environment and personnel needs are different during use, and the utilization of natural light is insufficient; the intelligent lighting system that combines human body sensing technology is too simple in judging the personnel state, and can only distinguish between the states of having people and no people, and cannot carefully consider the different activity states of people in the room and the corresponding appropriate brightness requirements, resulting in the lighting effect may not be able to well meet the actual feelings of people in different activity scenarios; in addition, the intelligent lighting systems in related technologies lack systematic comprehensive consideration and cannot dynamically and accurately evaluate the lighting environment state, making the lighting control still not intelligent and flexible enough, and it is difficult to achieve the ideal lighting effect and energy-saving goal. Summary of the Invention

[0005] In view of the technical problems in the related art that the lighting threshold cannot be adaptively changed when the indoor environment and personnel needs are different during the use of the intelligent lighting system, the utilization of natural light is insufficient, the different activity states of personnel in the room and the corresponding appropriate brightness requirements cannot be carefully considered, the lighting environment state cannot be dynamically and accurately evaluated, the lighting control is not intelligent and flexible enough, and it is difficult to achieve the ideal lighting effect and energy-saving goal, the present invention provides an intelligent control method, system, device and medium for indoor lighting, which can dynamically adjust the indoor lighting environment state, provide personalized lighting that fits the activity needs of indoor personnel, and maintain an ideal lighting control state; update data by using an adaptive learning method, continuously optimize its own control strategy, and continuously provide accurate lighting control services; can improve the energy utilization efficiency, reduce power waste; can save the labor cost of lighting system control, and improve the convenience and efficiency of lighting management.

[0006] In a first aspect, an embodiment of the present invention provides an intelligent control method for indoor lighting, including the following steps:

[0007] S1. Configure an indoor illuminance sensor, a human body monitoring device, and an electrically controllable lamp in the area to be illuminated;

[0008] S2. Determine the relationship between the control state of the electrically controllable lamp and the indoor illuminance in the state of no natural light, and the indoor illuminance is the detected value of the indoor illuminance sensor;

[0009] Divide the indoor personnel state into an unmanned state and a manned state, where the manned state is divided into an active state and a non-active state, and determine the appropriate indoor illuminance interval under different indoor personnel states;

[0010] According to the work and rest schedule of the area to be illuminated, determine the initial values of the indoor personnel state parameters in each period, and the indoor personnel state parameters include the proportion of the indoor personnel state and the indoor personnel state transition probability;

[0011] S3. Real-time collect and store the Internet of Things parameters of the area to be illuminated, and the Internet of Things parameters include indoor illuminance, indoor personnel monitoring state, and electrically controllable lamp state;

[0012] S4. Judge the current indoor personnel state according to the Internet of Things parameters and the indoor personnel state parameters in the current period, and store the judgment result. Evaluate the current lighting environment state according to the Internet of Things parameters, the current indoor personnel state, and the appropriate illuminance interval corresponding to the current indoor personnel state, and decide the lighting environment state that should be achieved;

[0013] S5. Generate an adjustment action according to the current lighting environment state and the lighting environment state that should be achieved, and the adjustment action includes adjusting the opening and closing of the electrically controllable lamp and adjusting the brightness of the electrically controllable lamp;

[0014] S6. Perform an adjustment action to adjust the lighting environment;

[0015] S7. Repeat steps S3 - S6 in a loop;

[0016] S8. After the time period conversion, switch the indoor personnel status parameters, and use the indoor personnel status parameters of the new time period to perform the indoor personnel status judgment in step S4;

[0017] S9. Update the data at a specific time every day.

[0018] Optionally, in step S1, the human body monitoring device is at least one of an infrared sensor, a radar sensor, and a video monitoring device.

[0019] Optionally, in step S2, in the state of no natural light, the relationship expression between the indoor illuminance and the controllable lighting fixture control state is:

[0020] L m = f(p)

[0021] In the formula, L m is the indoor illuminance, with the unit of lx;

[0022] p is the control state of the controllable lighting fixture;

[0023] Among them, the indoor illuminance corresponding to the maximum gear of the controllable lighting fixture is L mmax , and the indoor illuminance corresponding to the minimum gear of the controllable lighting fixture is L mmin .

[0024] Optionally, the appropriate illuminance range for the active state is the active illuminance range, and the indoor illuminance range of the active illuminance range is [L Wmin , L Wmax .

[0025] The appropriate illuminance range for the inactive state is the inactive illuminance range, and the indoor illuminance range of the inactive illuminance range is [L Rmin , L Rmax .

[0026] Optionally, in step S2, L Rmax = L mmin , L Rmin , L Wmin , L Wmax The initial values of are taken as fixed values according to the feelings of the personnel in the area to be illuminated.

[0027] Optionally, in step S2, L Rmin = 10 lx.

[0028] Optionally, in step S2, the day is divided into 96 time periods, and the length of each time period is 15 minutes.

[0029] Optionally, in step S3, the indoor illuminance l, the indoor personnel monitoring status, and the status p of the electrically controllable lamps are collected every 1 minute.

[0030] Optionally, in step S5, the generated adjustment actions need to satisfy constraint rules, which include:

[0031] (1) After manually adjusting the lighting environment status, judge the indoor personnel status based on the indoor illuminance collected after the adjustment, and no automatic adjustment will be performed within a certain period of time;

[0032] Specifically, if the lights are manually turned off and the indoor illuminance is lower than L Rmin , it is determined that the indoor personnel status is the unoccupied state; after manually adjusting the brightness of the electrically controllable lamps, judge the active state or the inactive state according to the comparison relationship between the indoor illuminance and the appropriate illuminance range under different indoor personnel statuses;

[0033] (2) When the indoor personnel status switches between the occupied state and the unoccupied state, a corresponding adjustment action is generated with a delay, and the delay generation time of the adjustment action is 1 - 5 minutes.

[0034] Optionally, in step S9, the scope of data update includes:

[0035] Update the comfortable brightness range corresponding to the indoor personnel status according to the result of manually adjusting the brightness;

[0036] Update the proportion of the indoor personnel status in each period according to the indoor personnel status data stored in the historical record and the corresponding time;

[0037] Calculate the indoor personnel status transition probability in each period according to the transition record of the indoor personnel status in the historical record.

[0038] Optionally, in step S9, the steps for calculating the indoor personnel status transition probability in each period include:

[0039] S901. Count the frequency of the indoor personnel transferring from one status to another in each period in the historical data;

[0040] S902. Divide the frequency of transferring from a certain initial status to a specific new status in a period by the total frequency of the occurrence of the initial status to obtain the transition probability of transferring from the initial status to the specific new status in that period;

[0041] S903. Summarize the transition probabilities of all status transition situations in each period to form the indoor personnel status transition probability corresponding to the period.

[0042] Optionally, in step S9, the specific measure for adjusting the comfortable brightness range is: extracting the average indoor illuminance during the manual brightness locking period of the day as L under the indoor personnel state Wmin value, and setting L Wmax = L Wmin + 100 lx. The manual brightness locking period is a period during which the indoor illuminance is manually controlled and remains unchanged for at least 30 minutes under the same indoor personnel state.

[0043] Optionally, step S1 further includes configuring an outdoor illuminance sensor outside the window;

[0044] Step S2 further includes statistically calculating the natural illuminance of each time period within at least one day and the highest natural illuminance of the whole day to form the natural illuminance reference value L n of each time period and the highest natural illuminance reference value L nmax of the whole day. The natural illuminance is the detected value of the outdoor illuminance sensor;

[0045] In step S3, the Internet of Things parameters further include natural illuminance;

[0046] Step S9 further includes updating L n and L nmax according to the natural illuminance of each time period in the historical record.

[0047] Optionally, step S1 further includes configuring an electrically controllable light-shielding device on the window of the area to be illuminated. The electrically controllable light-shielding device includes an electrically controllable lifting curtain and / or an adjustable louver;

[0048] Step S3 further includes collecting the status of the electrically controllable light-shielding device in real time;

[0049] The adjustment action in step S5 further includes controlling the light-shielding state of the electrically controllable light-shielding device. The specific control conditions are:

[0050] When the natural illuminance < L Rmin , turn off the automatic control state of the electrically controllable light-shielding device to prevent invalid instructions;

[0051] When the natural illuminance ≥ L Rmin and is higher than the appropriate illuminance range of the current indoor personnel state, adjust the light-shielding state of the electrically controllable light-shielding device to reduce daylighting;

[0052] When the natural illuminance ≥ L Rmin and is lower than the appropriate illuminance range of the current indoor personnel state, adjust the light-shielding state of the electrically controllable light-shielding device to increase daylighting;

[0053] Turn off the automatic control state of the electrically controllable light-shielding device for a period of time after manually adjusting the light-shielding state of the electrically controllable light-shielding device.

[0054] In a second aspect, an intelligent control system for indoor lighting provided by an embodiment of the present application is used to implement the steps of the above-mentioned intelligent control method for indoor lighting, and includes:

[0055] A relationship determination and parameter setting unit, configured to determine the relationship between the control state of electrically controllable lamps and the indoor illuminance in the state of no natural light, divide the personnel state, and determine the appropriate indoor illuminance range under different indoor personnel states, and determine the initial values of indoor personnel state parameters for each time period;

[0056] A data collection and storage unit, configured to collect and store Internet of Things parameters in real time;

[0057] A state judgment and evaluation unit, configured to judge the current indoor personnel state and store the judgment result, evaluate the current lighting environment state, and decide the lighting environment state to be achieved;

[0058] An adjustment action generation unit, configured to generate adjustment actions;

[0059] A lighting environment adjustment unit, configured to execute adjustment actions;

[0060] A loop and update unit, configured to loop through and execute each step, switch the indoor personnel state parameters after the time period conversion, and perform data update at a specific time of each day.

[0061] In a third aspect, the present invention further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned intelligent control method for indoor lighting are implemented.

[0062] In a fourth aspect, the present invention further provides a storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned intelligent control method for indoor lighting are implemented.

[0063] From the above technical solutions, it can be seen that the present invention has the following advantages:

[0064] 1. The intelligent control method for indoor lighting provided by the present invention configures an illuminance sensor, a human body monitoring device, and electrically controllable lamps in the area to be illuminated. After determining the relationship between the control state of the electrically controllable lamps and the indoor illuminance in the state of no natural light, the appropriate indoor illuminance range under different indoor personnel states, and determining the initial values of the indoor personnel state parameters for each period, it collects and stores the IoT parameters of the area to be illuminated in real time, then judges the current indoor personnel state, evaluates the current lighting environment state, makes a decision on the lighting environment state to be achieved, generates an adjustment action, and then executes the adjustment action and loops. Moreover, it switches the indoor personnel state parameters after the period conversion and updates the data at a specific time every day. By using the intelligent control method of the present invention, the indoor lighting environment state can be dynamically adjusted automatically according to the indoor personnel state at different times, providing personalized lighting that suits the activity needs of indoor personnel, improving comfort. At the same time, through cyclic execution, the lighting environment state can be continuously evaluated, decided, and corrected, enabling the lighting system to continuously adapt to the dynamic changes of the environment and personnel and always maintain an ideal lighting control state.

[0065] 2. The intelligent control method for indoor lighting provided by the present invention takes the indoor illuminance as the main reference index during the process of evaluating the lighting environment state, fully considers the natural light factor, can make the most of the natural light resources, meet the lighting requirements while saving electricity use; at the same time, based on the comprehensive analysis of factors such as indoor personnel state and period, it decides the opening and closing and brightness adjustment of the electrically controllable lamps, avoids the situation of over-illumination or unnecessary illumination of the lamps, further improves the energy utilization efficiency, and reduces the waste of electricity.

[0066] 3. The entire lighting control process of the present invention can execute the adjustment actions of the electrically controllable lamps according to the set rules without frequent manual intervention, without the need to use a large number of tests and investigations to adjust the lighting settings, nor the need to re-set when the external conditions change, which can save the labor cost of lighting system control and improve the convenience and efficiency of lighting management. Description of the Drawings

[0067] In order to more clearly illustrate the technical solutions of the present invention, the drawings required for description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0068] Figure 1 It is a schematic flow chart of the intelligent control method for indoor lighting.

[0069] Figure 2 It is a personnel state distribution and state transition probability diagram for a specific period in the embodiment of the present invention.

[0070] Figure 3 In some embodiments of the present invention, it is a flowchart for judging the state of indoor personnel.

[0071] Figure 4 In some embodiments of the present invention, it is a flowchart for evaluating the current lighting environment state when the state of indoor personnel is the unoccupied state.

[0072] Figure 5 In some embodiments of the present invention, it is a flowchart for evaluating the current lighting environment state when the personnel state is the occupied state and the current state of the electrically controllable lamps is the off state.

[0073] Figure 6 In some embodiments of the present invention, it is a flowchart for evaluating the current lighting environment state when the personnel state is the occupied state and the current state of the electrically controllable lamps is the on state.

[0074] Figure 7 In some embodiments of the present invention, it is a schematic block diagram of an intelligent control system for indoor lighting. Detailed implementation manners

[0075] The following will describe in detail the specific steps of the intelligent control method for indoor lighting provided by the present invention. In this process, various embodiments of the present invention will be described more comprehensively. The present invention can have multiple embodiments, and corresponding adjustments and changes are allowed among these embodiments. It should be clear that the various embodiments of the present invention are not limited to the specific embodiments disclosed herein, but the present invention should be understood to cover all adjustments, equivalents, and / or alternative solutions that fall within the spirit and scope of the various embodiments of the present invention.

[0076] With the development of home intelligence and automation, users' requirements for indoor lighting are no longer limited to simply illuminating the indoor space, but pay more attention to the mutual coordination of lighting effects, human comfort, energy conservation, and environmental adaptability. In various building places, such as office buildings, commercial centers, residences, etc., intelligent lighting systems are gradually introduced to improve the indoor environmental quality and usage experience.

[0077] In the related art, some intelligent lighting systems use illuminance sensors to sense the indoor environmental brightness. When it is detected that the indoor environmental brightness is lower than the manually set threshold, the lamps are automatically turned on for lighting; there are also some intelligent lighting systems that combine human body sensing technologies, such as using devices like infrared sensors to detect whether there are people in the room, and then determine the on / off state of the lamps, so as to achieve a certain degree of energy-saving effect.

[0078] However, in the related art, an intelligent lighting system that uses an illuminance sensor to sense the indoor ambient brightness adjusts the indoor ambient brightness only by setting a specific lighting threshold. However, in the case of different indoor environments, detection positions, and users, a large number of debuggings are required to determine the specific lighting threshold, and the lighting threshold cannot be adaptively changed when the indoor environment and personnel needs are different during use, resulting in insufficient utilization of natural light. The intelligent lighting system combined with human body sensing technology is too simple in judging the state of personnel, and can only distinguish between the presence and absence of people, and cannot carefully consider the different activity states of personnel in the room and the corresponding appropriate brightness requirements, resulting in the lighting effect may not be able to well meet the actual feelings of people in different activity scenarios. In addition, the intelligent lighting system in the related art lacks systematic comprehensive consideration and cannot dynamically and accurately evaluate the lighting environment state, making the lighting control still not intelligent and flexible enough, and it is difficult to achieve the ideal lighting effect and energy-saving goal.

[0079] In view of the above problems, an embodiment of the present invention provides an intelligent control method for indoor lighting, which can dynamically adjust the indoor lighting environment state, provide personalized lighting that fits the activity needs of indoor personnel, and maintain an ideal lighting control state; update data by using an adaptive learning method, continuously optimize its own control strategy, and continuously provide accurate lighting control services; can improve energy utilization efficiency and reduce power waste.

[0080] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0081] Figure 1 is a schematic flowchart of the intelligent control method for indoor lighting provided by the present invention, as Figure 1 shown, the method includes:

[0082] Step S1. Configure an indoor illuminance sensor, a human body monitoring device, and an electrically controllable lamp in the area to be illuminated, and the human body monitoring device is at least one of an infrared sensor, a radar sensor, and a video monitoring device.

[0083] It should be noted that an illuminance sensor is an instrument used to measure the light intensity (i.e., illuminance), also known as a light intensity sensor or lux sensor. It mainly measures illuminance based on the photoelectric effect. Common illuminance sensors are based on photoelectric elements such as silicon photovoltaic cells and selenium photovoltaic cells. When light irradiates the photoelectric element of the illuminance sensor, the energy of photons enables electrons in the photoelectric element to gain sufficient energy and move, thereby generating a photocurrent. The magnitude of the photocurrent is proportional to the light intensity. By detecting the magnitude of the photocurrent and through corresponding circuit conversion and calculation, the value of the light intensity can be obtained. The unit of light intensity is lux (lx);

[0084] A human body monitoring device is an electronic device used to monitor and sense information related to the human body. Its main function is to obtain the presence status and activity of the human body. In the embodiments of the present invention, the human body monitoring device is mainly used to monitor the status of indoor personnel, including whether there are people at specific positions, the number of people, etc.;

[0085] An electronically controllable lamp refers to a lamp that can achieve the control of various functions through electronic control means. In the present invention, the electronically controllable lamp is defined as a lamp that can be electronically controlled for switching and brightness adjustment. Therefore, in the embodiments of the present invention, the electronically controllable lamp can respond to the instruction of the adjustment action, correspondingly achieve opening and closing and brightness adjustment; it can also feedback the current on / off state and brightness adjustment state of the lamp.

[0086] In addition, although the electronically controllable lamp is a lamp that can be electrically controlled for switching and brightness adjustment, this does not mean that the electronically controllable lamp used in the present invention can only be controlled for switching or brightness adjustment electronically. In some embodiments of the present invention, the electronically controllable lamp can still be manually controlled for switching and brightness adjustment.

[0087] By configuring an illuminance sensor, a human body monitoring device, and an electronically controllable lamp in the area to be illuminated, a comprehensive perception of the lighting environment and the situation of personnel is achieved, laying a foundation for precise lighting control. The electronically controllable lamp can flexibly respond to control instructions, improving the intelligence and convenience of lighting control.

[0088] Step S2. Determine the relationship between the regulation state of the electronically controllable lamp and the indoor illuminance in the state of no natural light. The indoor illuminance is the detected value of the indoor illuminance sensor;

[0089] Divide the indoor personnel state into an unoccupied state and an occupied state. The unoccupied state is represented by U, and the occupied state is represented by O; among them, the occupied state is divided into an active state and an inactive state. The active state is represented by W, and the inactive state is represented by R. Determine the appropriate indoor illuminance interval under different indoor personnel states;

[0090] Determine the initial values of the indoor personnel status parameters for each time period according to the work and rest schedule of the area to be illuminated. The indoor personnel status parameters include the proportion of the indoor personnel status and the indoor personnel status transition probability. For example, in an office scenario, the current status for the time period corresponding to working hours is W: 100%, and the current status for the time periods corresponding to before and after work and rest times such as lunch is R: 100%; for other time periods, it is U: 100%, the corresponding status transition probability for the work and rest switching time period is 100%, and the corresponding status transition probability for the non-work and rest switching time period is 0.

[0091] Divide the indoor personnel status into unoccupied status and occupied status, and further divide the occupied status into active status and inactive status. This subdivision method can make the lighting control more in line with the actual needs of personnel; define the appropriate illuminance intervals for the active and inactive statuses based on the indoor illuminance, providing a clear and quantitative basis for lighting control. The lighting system can accurately judge and adjust the brightness of the lamps to the appropriate interval according to the personnel status and the current indoor illuminance, ensuring that appropriate lighting can be provided in different personnel activity statuses, meeting visual requirements and saving energy, while avoiding the inadaptability problem of manually setting lighting thresholds, improving the accuracy and scientificity of lighting control, and enhancing the user experience.

[0092] It should be noted that natural light refers to the light emitted from natural light sources such as the sun and sky scattering. The intensity of natural light will change significantly with factors such as time, weather, and geographical location.

[0093] Step S3. Real-time collect and store the Internet of Things parameters of the area to be illuminated. The Internet of Things parameters include indoor illuminance, indoor personnel monitoring status, and controllable lamp status.

[0094] Real-time collection of Internet of Things parameters can promptly grasp the changes in the lighting environment and personnel status, facilitating the accumulation of historical data, evaluation of the current lighting environment, decision-making on the lighting environment status to be achieved, and updating of indoor personnel status parameters in subsequent steps.

[0095] Step S4. Judge the current indoor personnel status according to the Internet of Things parameters and the indoor personnel status parameters of the current time period and store the judgment result. Evaluate the current lighting environment status according to the Internet of Things parameters, the current indoor personnel status, and the appropriate illuminance interval corresponding to the current indoor personnel status, and decide the lighting environment status that should be achieved.

[0096] Evaluate the current lighting environment by combining the Internet of Things parameters with the indoor personnel status parameters of the current time period, and decide the lighting environment status to be achieved according to the Internet of Things parameters, the current indoor personnel status, and the appropriate illuminance interval corresponding to the current indoor personnel status, enabling the lighting system to dynamically adapt to changes and facilitating the provision of lighting that meets the needs in subsequent steps.

[0097] Among them, the flowchart for judging the current indoor personnel status based on the Internet of Things parameters and the indoor personnel status parameters at the current time period is as follows Figure 3 as shown;

[0098] When the indoor personnel status is the unoccupied state, the flowchart for evaluating the current lighting environment status is as follows Figure 4 as shown;

[0099] When the personnel status is the occupied state and the current controllable lighting fixture status is the off state, the flowchart for evaluating the current lighting environment status is as follows Figure 5 as shown;

[0100] When the personnel status is the occupied state and the current controllable lighting fixture status is the on state, the flowchart for evaluating the current lighting environment status is as follows Figure 6 as shown.

[0101] Step S5. Generate an adjustment action according to the current lighting environment status and the lighting environment status to be achieved. The adjustment action includes adjusting the opening and closing of the controllable lighting fixture and adjusting the brightness of the controllable lighting fixture.

[0102] Generating an adjustment action based on the current lighting environment status and the lighting environment status to be achieved can optimize the lighting control according to the actual situation.

[0103] Step S6. Execute the adjustment action to adjust the lighting environment.

[0104] Step S7. Loop and execute Steps S3 - S6.

[0105] Executing the adjustment action and looping and executing the acquisition - evaluation - adjustment process can ensure that the lighting always adapts to the dynamic changes of the environment and personnel, and continuously maintains an ideal control state.

[0106] Step S8. Switch the indoor personnel status parameters after the time period conversion, and use the indoor personnel status parameters of the new time period to judge the indoor personnel status in Step S4.

[0107] Judging using the indoor personnel status parameters of the new time period during the time period conversion can make the lighting control fit the differences in personnel activities in each time period, accurately adjust the lighting environment, avoid unreasonable lighting caused by old parameters, improve adaptability, rationality and user experience, and is conducive to energy conservation.

[0108] Step S9. Update the data at a specific time every day.

[0109] Optionally, the specific time is 00:00 every day.

[0110] In this embodiment, an illuminance sensor, a human body monitoring device, and an electrically controllable lamp are configured in the area to be illuminated. After determining the relationship between the control state of the electrically controllable lamp and the indoor illuminance in the state of no natural light, the appropriate indoor illuminance range under different indoor personnel states, and determining the initial values of the indoor personnel state parameters for each period, the IoT parameters of the area to be illuminated are collected in real time and stored. Then, the current indoor personnel state is judged, the current lighting environment state is evaluated, and the lighting environment state that should be achieved is determined to generate an adjustment action. After that, the adjustment action is executed and looped, and the indoor personnel state parameters are switched after the period conversion, and data is updated at a specific time every day. By using the intelligent control method of this embodiment, the indoor lighting environment state can be dynamically adjusted automatically according to the indoor personnel state in different periods, providing personalized lighting that suits the activity needs of indoor personnel, improving comfort. At the same time, through loop execution, the lighting environment state can be continuously evaluated, decision-making, and corrected, so that the lighting system can continuously adapt to the dynamic changes of the environment and personnel, and always maintain an ideal lighting control state. In the process of evaluating the lighting environment state in this embodiment, the indoor illuminance is used as the main reference index, and the natural light factor is fully considered, which can make the best use of natural light resources, meet the lighting needs while saving electricity. At the same time, based on the comprehensive analysis of factors such as indoor personnel state and time period, the opening and closing and brightness adjustment of the electrically controllable lamp are decided, avoiding the situation of over-illumination or unnecessary illumination of the lamp, further improving the energy utilization efficiency and reducing power waste. In addition, this embodiment can execute the adjustment action of the electrically controllable lamp according to the set rules without frequent manual intervention, without using a large number of tests and investigations to adjust the lighting settings, and without re-setting when the external conditions change, which can save the labor cost of lighting system control and improve the convenience and efficiency of lighting management.

[0111] In an embodiment of the present invention, based on step S2, the following will give a possible embodiment to non-restrictively elaborate on its specific implementation scheme. In this embodiment, in the state of no natural light, the relationship expression between the indoor illuminance and the control state of the electrically controllable lamp is:

[0112] L m = f(p)

[0113] In the formula, L m is the indoor illuminance, with the unit of lx;

[0114] p is the control state of the electrically controllable lamp, that is, the ratio of the output power of the electrically controllable lamp to the maximum power, with the unit of %;

[0115] Among them, the indoor illuminance corresponding to the maximum gear of the electrically controllable lamp is L mmax , and the indoor illuminance corresponding to the minimum gear of the electrically controllable lamp is L mmin ;

[0116] The appropriate illuminance range in the active state is the active illuminance range, and the indoor illuminance range of the active illuminance range is [L Wmin , L Wmax ;

[0117] The appropriate illuminance range in the inactive state is the inactive illuminance range, and the indoor illuminance range of the inactive illuminance range is [L Rmin , L Rmax .

[0118] In an embodiment of the present invention, based on step S2, a possible embodiment will be given below to non - restrictively elaborate on its specific implementation scheme. In this embodiment, L Rmax = L mmin , L Rmin , L Wmin , L Wmax The initial values are taken as fixed values according to the feelings of the people in the area to be illuminated.

[0119] Optionally, L Rmin = 10 lx.

[0120] Optionally, the lighting environment state is divided and coded according to the state of indoor personnel, the state of electrically controllable lamps, and whether the indoor brightness is appropriate. The lighting environment state coding table is shown in Table 1.

[0121] Table 1 Lighting Environment State Coding Table

[0122]

[0123] According to Table 1, the lighting environment state of the area to be illuminated is represented. For example, state S211 corresponds to the state of people being active, the lights being on, and the brightness being appropriate.

[0124] In an embodiment of the present invention, based on step S2, a possible embodiment will be given below to non - restrictively elaborate on its specific implementation scheme. In this embodiment, a day is divided into 96 time periods, and the length of each time period is 15 minutes.

[0125] Dividing a day into 96 time periods, with each time period being 15 minutes long, refines the division of the time dimension, which helps to more accurately count data such as natural illuminance and the proportion of personnel states in different time periods, enabling the lighting system to better grasp the environmental and personnel change laws in each time period of a day. Thus, more accurate lighting control strategies can be formulated for different time periods, improving the refinement level of lighting control and better adapting to the lighting requirements in different time periods. For example, during periods with large natural light changes such as morning and evening, the lighting can be adjusted more timely and accurately, enhancing the adaptability and flexibility of the lighting system.

[0126] Optionally, the personnel state distribution and state transition probability in each of the 96 time periods are statistically analyzed, such asFigure 2 It is a graph of the personnel status distribution and status transition probability for a specific period.

[0127] In an embodiment of the present invention, based on step S3, the following will give a possible embodiment to non - restrictively elaborate on its specific implementation. In this embodiment, the IoT parameters are collected every 1 minute. The IoT parameters include the indoor illuminance l, the indoor personnel monitoring status, and the status p of the electrically controllable lamps.

[0128] In an embodiment of the present invention, based on step S5, the following will give a possible embodiment to non - restrictively elaborate on its specific implementation. In this embodiment, the generated adjustment actions need to satisfy the constraint rules, and the constraint rules include:

[0129] (1) After manually adjusting the lighting environment state, judge the indoor personnel status according to the indoor illuminance collected after the adjustment, and no automatic adjustment will be performed within a certain period of time;

[0130] Specifically, if the lights are manually turned off and the indoor illuminance is lower than L Rmin , it is judged that the indoor personnel status is the unoccupied state; after manually adjusting the brightness of the electrically controllable lamps, judge the active state or non - active state according to the comparison relationship between the indoor illuminance and the appropriate illuminance interval under different indoor personnel statuses;

[0131] (2) When the indoor personnel status switches between the occupied state and the unoccupied state, the corresponding adjustment actions are generated with a delay, and the delay generation time of the adjustment actions is 1 - 5 minutes.

[0132] Setting the constraint rules has beneficial effects in improving the user experience, enhancing the system stability, and optimizing the lighting and energy utilization efficiency. It makes the lighting control system more intelligent, reasonable, and reliable, can better adapt to complex and changeable actual application scenarios, and provides users with higher - quality, more comfortable, and energy - saving lighting services.

[0133] Among them, the target indoor illuminance of the optimal lighting level can be obtained in combination with the time period status to avoid frequent adjustment. The corresponding relationship between the target indoor illuminance of the optimal lighting level is shown in Table 2.

[0134] Table 2 Corresponding table of target indoor illuminance for the optimal lighting level

[0135]

[0136] In an embodiment of the present invention, based on step S9, the following will give a possible embodiment to non - restrictively elaborate on its specific implementation. In this embodiment, the scope of data update includes:

[0137] Update the comfortable brightness interval corresponding to the indoor personnel status according to the result of manually adjusting the brightness;

[0138] Update the proportion of indoor occupant status in each time period according to the indoor occupant status data and corresponding time stored in the historical records;

[0139] The indoor personnel status transition probability in each time period is calculated based on the indoor personnel status transition records in the historical records.

[0140] Updating the comfortable brightness range based on the results of manual brightness adjustment can incorporate the user's subjective feelings, meet personalized needs, and improve lighting comfort and quality; based on historical personnel status data and the proportion of personnel status in the time update period, the system can more accurately grasp the activities of personnel in different time periods, improve the accuracy of lighting control, avoid improper lighting, and achieve energy saving; according to the personnel status transfer record, the transfer probability is calculated. The system can prepare for lighting status adjustment in advance based on the updated transfer probability, making it more flexible and timely when responding to changes in personnel status, further optimizing the continuity and rationality of lighting control, ensuring that the indoor lighting environment is always in a more suitable state, and optimizing the lighting control strategy as a whole.

[0141] In an embodiment of the present invention, based on step S9, a possible embodiment is given below to illustrate its specific implementation scheme in a non-limiting manner. In this embodiment, the step of calculating the indoor occupant state transition probability in each time period includes:

[0142] S901. Statistical historical data of the frequency of indoor personnel transferring from one state to another in each period;

[0143] S902. Divide the frequency of transitions from a certain initial state to a specific new state in a period by the total frequency of occurrence of the initial state to obtain the transition probability of transitions from the initial state to the specific new state in the period;

[0144] S903. Summarize the transition probabilities of all state transitions in each time period to form the indoor occupant state transition probability of the corresponding time period.

[0145] In one embodiment of the present invention, based on step S9, a possible embodiment is given below to illustrate its specific implementation scheme in a non-limiting manner. In this embodiment, the specific measures for adjusting the comfortable brightness range are: extracting the average indoor illuminance during the manual control brightness lock period of the day as the indoor illuminance under the indoor occupant state. Wmin value, and set L Wmax =L Wmin +100lx, the artificially controlled brightness lock period is the period during which the indoor illuminance is artificially controlled and remains unchanged for at least 30 minutes under the same indoor occupancy status.

[0146] In an embodiment of the present invention, based on steps S1, S2, S3, and S9, a possible embodiment will be given below to non - restrictively elaborate on its specific implementation. In this embodiment, step S1 further includes configuring an outdoor illuminance sensor outside the window;

[0147] Step S2 further includes statistically analyzing the natural illuminance of each time period within at least one day and the highest natural illuminance of the whole day to form a natural illuminance reference value L n for each time period and a highest natural illuminance reference value L nmax of the whole day, where the natural illuminance is the detected value of the outdoor illuminance sensor;

[0148] In step S3, the Internet of Things parameters further include natural illuminance;

[0149] Step S9 further includes updating L n and L nmax according to the natural illuminance of each time period in the historical record.

[0150] In an embodiment of the present invention, based on steps S1, S3, and S5, a possible embodiment will be given below to non - restrictively elaborate on its specific implementation. In this embodiment, step S1 further includes configuring an electrically controllable light - shielding device on the window of the area to be illuminated, and the electrically controllable light - shielding device includes an electrically - controllable lifting curtain and / or adjustable blinds;

[0151] Step S3 further includes real - time acquisition of the state of the electrically controllable light - shielding device;

[0152] The adjustment action in step S5 further includes controlling the light - shielding state of the electrically controllable light - shielding device, and the specific control conditions are as follows:

[0153] When the natural illuminance < L Rmin , turn off the automatic control state of the electrically controllable light - shielding device to prevent invalid commands;

[0154] When the natural illuminance ≥ L Rmin and is higher than the appropriate illuminance interval of the current indoor personnel state, adjust the light - shielding state of the electrically controllable light - shielding device to reduce daylighting;

[0155] When the natural illuminance ≥ L Rmin and is lower than the appropriate illuminance interval of the current indoor personnel state, adjust the light - shielding state of the electrically controllable light - shielding device to increase daylighting;

[0156] Turn off the automatic control state of the electrically controllable light - shielding device within a certain time period after manually adjusting the light - shielding state of the electrically controllable light - shielding device.

[0157] It should be noted that the electrically controllable light-shielding device refers to a device that can adjust the degree of light shielding through electronic control means, which can control the amount of light entering the room, thereby changing the indoor lighting conditions and meeting different light-shielding requirements;

[0158] In addition, the electrically controllable light-shielding device defined in the present invention does not mean that it can only control the switch or adjust the lighting in an electric way. In some embodiments of the present invention, the electrically controllable light-shielding device can still be manually controlled to switch and adjust the lighting.

[0159] Configuring an electrically controllable light-shielding device in the area to be illuminated increases the means of controlling the entry of natural light into the room, can flexibly adjust the light-shielding state according to lighting needs, and can work in coordination with other devices to achieve a more comprehensive adjustment of the lighting environment and improve the adaptability of the lighting system to different light environments; collecting the state of the electrically controllable light-shielding device as one of the IoT parameters enables the lighting system to comprehensively understand the information related to the lighting environment and provides more basis for more accurate lighting decisions; the adjustment action includes adjusting the light-shielding state of the electrically controllable light-shielding device, which can better balance natural light and artificial lighting, timely adjust the light-shielding degree when natural light is too strong or too weak, make full use of natural light while avoiding problems such as glare, further improve the energy utilization efficiency, create a more comfortable indoor lighting environment, and meet the visual needs in different scenarios.

[0160] Optionally, in step S5, under the condition of meeting the constraint rules, the adjustment actions in different situations are checked for conditions, and the condition check rule table is shown in Table 3.

[0161] Table 3 Adjustment Action Condition Check Rule Table

[0162]

[0163] In the table, S t is the currently evaluated lighting environment state, and S t+1 is the lighting environment state to be achieved by the decision.

[0164] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0165] In a specific embodiment, the intelligent control method for indoor lighting includes:

[0166] Step S1. Configure an indoor illuminance sensor, a human body monitoring device, and an electrically controllable lamp in the area to be illuminated. Configure an electrically controllable light-shielding device on the window of the area to be illuminated, and configure an outdoor illuminance sensor outside the window. The human body monitoring device is at least one of an infrared sensor, a radar sensor, and a video monitoring device. The electrically controllable light-shielding device includes an electrically controllable lifting curtain and / or an adjustable louver.

[0167] Step S2. Determine the relationship between the control state of the electrically controllable lamp and the indoor illuminance in the state of no natural light. The indoor illuminance is the detected value of the indoor illuminance sensor.

[0168] Specifically, in the state of no natural light, the relationship expression between the indoor illuminance and the control state of the electrically controllable lamp is:

[0169] L m = f(p)

[0170] In the formula, L m is the indoor illuminance, with the unit of lx;

[0171] p is the control state of the electrically controllable lamp, that is, the ratio of the output power of the electrically controllable lamp to the maximum power, with the unit of %;

[0172] Among them, the indoor illuminance corresponding to the maximum gear of the electrically controllable lamp is L mmax , and the indoor illuminance corresponding to the minimum gear of the electrically controllable lamp is L mmin ;

[0173] Statistically analyze the natural light illuminance of each time period within at least one day and the highest natural light illuminance of the whole day to form the natural light illuminance reference value L n of each time period and the highest natural light illuminance reference value L nmax of the whole day;

[0174] Divide the indoor personnel state into an unoccupied state and an occupied state. Among them, the occupied state is divided into an active state and an inactive state. Determine the appropriate indoor illuminance interval under different indoor personnel states. The unoccupied state is represented by U, and the occupied state is represented by O; the active state is represented by W, and the inactive state is represented by R.

[0175] Specifically, the appropriate illuminance interval for the active state is the active illuminance interval, and the indoor illuminance range of the active illuminance interval is [L Wmin , L Wmax ;

[0176] The appropriate illuminance interval for the inactive state is the inactive illuminance interval, and the indoor illuminance range of the inactive illuminance interval is [L Rmin , L Rmax ;

[0177] Specifically, L Rmax = Lmmin , L Rmin = 10 lx, L Wmin , L Wmax The initial value of L is taken as a fixed value according to the feeling of the people in the area to be illuminated;

[0178] Divide the lighting environment state into categories and code them according to the indoor personnel status, the status of electrically controllable lamps, and whether the indoor brightness is appropriate. The lighting environment state coding table is as shown in Table 1 above;

[0179] Divide a day into 96 time periods, each with a length of 15 minutes. Determine the initial values of the indoor personnel status parameters for each time period according to the work and rest schedule of the area to be illuminated. The indoor personnel status parameters include the proportion of the indoor personnel status and the state transition probability of the indoor personnel. For example, in the office scenario, the current state of the corresponding time period during working hours is W: 100%, the current state of the corresponding time period before and after work and during lunch and other rest times is R: 100%; the current state of other time periods is U: 100%, the state transition probability of the corresponding state during the work and rest switching period is 100%, and the state transition probability of the corresponding state during the non-work and rest switching period is 0;

[0180] Statistically analyze the personnel status distribution and state transition probability for each of the 96 time periods;

[0181] Step S3. Real-time collect and store the Internet of Things parameters of the area to be illuminated. The Internet of Things parameters include indoor illuminance, indoor personnel monitoring status, status of electrically controllable lamps, status of electrically controllable light-shielding devices, and natural illuminance. Collect the indoor illuminance l, indoor personnel monitoring status, status of electrically controllable lamps p, and natural illuminance every 1 minute;

[0182] Step S4. Judge the current indoor personnel status according to the Internet of Things parameters and the indoor personnel status parameters of the current time period, and store the judgment result. Evaluate the current lighting environment state according to the Internet of Things parameters, the current indoor personnel status, and the appropriate illuminance interval corresponding to the current indoor personnel status, and decide the lighting environment state that should be achieved;

[0183] Among them, the flowchart for judging the current indoor personnel status according to the Internet of Things parameters and the indoor personnel status parameters of the current time period is as Figure 3 shown;

[0184] When the indoor personnel status is the no-person status, the flowchart for evaluating the current lighting environment state is as Figure 4 shown;

[0185] When the personnel status is the someone status and the current status of the electrically controllable lamps is the off state, the flowchart for evaluating the current lighting environment state is as Figure 5 shown;

[0186] When the personnel status is the occupied state and the current controllable electric lighting status is on, the flowchart for evaluating the current lighting environment status is as follows Figure 6 as shown;

[0187] Step S5. Generate an adjustment action based on the current lighting environment status and the lighting environment status to be achieved. The adjustment action includes adjusting the opening and closing of the controllable electric lighting and adjusting the brightness of the controllable electric lighting, and also includes controlling the light-shielding state of the controllable electric light-shielding device. The specific control conditions for the light-shielding state of the controllable electric light-shielding device are as follows:

[0188] When the natural light illuminance < L Rmin , turn off the automatic control state of the controllable electric light-shielding device to prevent invalid instructions;

[0189] When the natural light illuminance ≥ L Rmin and it is higher than the appropriate illuminance range for the current indoor personnel status, adjust the light-shielding state of the controllable electric light-shielding device to reduce daylighting;

[0190] When the natural light illuminance ≥ L Rmin and it is lower than the appropriate illuminance range for the current indoor personnel status, adjust the light-shielding state of the controllable electric light-shielding device to increase daylighting;

[0191] Turn off the automatic control state of the controllable electric light-shielding device within a certain time period after manually adjusting the light-shielding state of the controllable electric light-shielding device;

[0192] The generated adjustment action needs to meet the constraint rules, and the constraint rules include:

[0193] (1) After manually adjusting the lighting environment status, judge the indoor personnel status according to the indoor illuminance collected after the adjustment, and no automatic adjustment will be performed within a certain period of time;

[0194] Specifically, if the lights are manually turned off and the indoor illuminance is lower than L Rmin after turning off the lights, it is judged that the indoor personnel status is the unoccupied state; after manually adjusting the brightness of the controllable electric lighting, judge the active state or the non-active state according to the comparison relationship between the indoor illuminance and the appropriate illuminance range under different indoor personnel statuses;

[0195] (2) When the indoor personnel status switches between the occupied state and the unoccupied state, generate the corresponding adjustment action with a delay. The delay generation time of the adjustment action is 1 - 5 minutes;

[0196] Under the conditions that meet the constraint rules, perform a condition check on the adjustment actions in different situations. The condition check rule table is as shown in Table 3 above;

[0197] The target indoor illuminance of the best lighting level in Table 3 can be obtained in combination with the time period status to avoid frequent adjustment. The corresponding relationship between the target indoor illuminance of the best lighting level is as shown in Table 2 above.

[0198] Step S6. Execute adjustment action to adjust the lighting environment;

[0199] Step S7. Loop through steps S3 to S6;

[0200] Step S8. After the time period is switched, the indoor personnel status parameters are switched, and the indoor personnel status parameters of the new time period are used to determine the indoor personnel status in step S4;

[0201] Step S9. Update the data at a specific time every day, the specific time is 00:00 every day, and the scope of data update includes:

[0202] According to the result of manual brightness adjustment, the comfortable brightness range corresponding to the indoor occupant status is updated. The specific measures are as follows: extract the average indoor illuminance during the manual brightness control lock period of the day as the L value of the indoor occupant status. Wmin value, and set L Wmax =L Wmin +100lx, the artificial control brightness lock period is the period when the indoor illuminance is artificially controlled and remains unchanged for at least 30 minutes under the same indoor occupancy status;

[0203] Update L based on the natural light intensity at each time period in the historical records n and L nmax ;

[0204] Update the proportion of indoor occupant status in each time period according to the indoor occupant status data and corresponding time stored in the historical records;

[0205] The indoor occupant state transition probability of each time period is calculated according to the indoor occupant state transition record in the historical record. The calculation steps include:

[0206] S901. Statistical historical data of the frequency of indoor personnel transferring from one state to another in each period;

[0207] S902. Divide the frequency of transitions from a certain initial state to a specific new state in a period by the total frequency of occurrence of the initial state to obtain the transition probability of transitions from the initial state to the specific new state in the period;

[0208] S903. Summarize the transition probabilities of all state transitions in each time period to form the indoor occupant state transition probability of the corresponding time period.

[0209] like Figure 7As shown below, the following is an embodiment of the intelligent control system for indoor lighting provided by the embodiments of the present invention. The intelligent control system for indoor lighting and the intelligent control method for indoor lighting in the above embodiments belong to the same inventive concept. Details not described in detail in the embodiments of the intelligent control system for indoor lighting can refer to the embodiments of the intelligent control method for indoor lighting above.

[0210] The intelligent control system for indoor lighting includes:

[0211] A relationship determination and parameter setting unit, configured to determine the relationship between the control state of electrically controllable lamps and the indoor illuminance in the state without natural light, divide the personnel state, and determine the appropriate indoor illuminance interval under different indoor personnel states, and determine the initial values of indoor personnel state parameters for each period;

[0212] A data acquisition and storage unit, configured to collect and store IoT parameters in real time;

[0213] A state judgment and evaluation unit, configured to judge the current indoor personnel state and store the judgment result, evaluate the current lighting environment state, and decide the lighting environment state to be achieved;

[0214] An adjustment action generation unit, configured to generate adjustment actions;

[0215] A lighting environment adjustment unit, configured to execute adjustment actions;

[0216] A loop and update unit, configured to loop through each step, switch the indoor personnel state parameters after the period conversion, and perform data update at a specific time every day.

[0217] The embodiments of the present invention also provide an electronic device. The intelligent control method for indoor lighting provided by the embodiments of the present application can be applied to the electronic device. Those skilled in the art can understand that the structure of the electronic device involved in the embodiments of the present invention does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements. In the embodiments of the present invention, the electronic device includes, but is not limited to, a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as, a personal digital processor, a cellular phone, a smart phone, a wearable device, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the embodiments of the present application described herein and / or claimed.

[0218] An electronic device may include a processor, an external memory interface, an internal memory, a Universal Serial Bus (USB) interface, a charging management module, a power management module, a battery, a wireless communication module, an audio module, a speaker, a microphone, a sensor module, keys, a camera, a display screen, and a Subscriber Identity Module (SIM) card interface, etc.

[0219] It can be understood that the structure illustrated in the embodiments of this application does not constitute a specific limitation on the electronic device. In other embodiments of this application, the electronic device may include more or fewer components than shown in the figures, or combine certain components, or split certain components, or have different component arrangements. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0220] The processor may include one or more processing units. For example, the processor may include a Central Processing Unit (CPU), etc., an Application Processor (AP), a modem processor, a Graphics Processing Unit (GPU), an Image Signal Processor (ISP), a controller, a memory, a video codec, a Digital Signal Processor (DSP), a baseband processor, and / or a Neural-Network Processing Unit (NPU), etc. Among them, different processing units may be independent devices or integrated in one or more processors.

[0221] Among them, the processor may be the nerve center and command center of the electronic device. The controller may generate operation control signals according to the instruction operation code and timing signals to complete the control of fetching and executing instructions.

[0222] A memory may also be provided in the processor for storing instructions and data. In some embodiments, the memory in the processor is a cache memory. This memory may save the instructions or data that the processor has just used or recycled. If the processor needs to use the instruction or data again, it can directly call it from this memory. This avoids repeated accesses, reduces the waiting time of the processor, and thus improves the system efficiency.

[0223] The external memory interface may be used to connect an external memory card, such as a MicroSD card, to expand the storage capacity of the electronic device. The external memory card communicates with the processor through the external memory interface to achieve the data storage function. For example, files such as music and videos are saved in the external memory card.

[0224] The internal memory can be used to store computer-executable program code, which includes instructions. The processor executes various functional applications and data processing of the electronic device by running the instructions stored in the internal memory. The internal memory can include a program storage area and a data storage area. The internal memory can include a high-speed random access memory and can also include non-volatile memory, such as at least one disk storage device, a flash memory device, a universal flash storage (UFS), etc.

[0225] The wireless communication function of the electronic device can be implemented by an antenna, a wireless communication module, a modem processor, a baseband processor, etc.

[0226] The wireless communication module can provide wireless communication solutions applied to the electronic device, including wireless local area networks (WLANs) (such as wireless fidelity (Wi-Fi) networks), Bluetooth (BT), global navigation satellite systems (GNSSs), frequency modulation (FM), near field communication (NFC), infrared technology (IR), etc.

[0227] The electronic device can implement audio functions, etc. through an audio module, a speaker, a receiver, a microphone, a headphone jack, an application processor, etc.

[0228] The electronic device can implement a shooting function through an ISP, a camera, a video codec, a GPU, a display screen, an application processor, etc.

[0229] The electronic device can implement a display function through a GPU, a display screen, an application processor, etc.

[0230] The GPU is a microprocessor for image processing, connecting the display screen and the application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. The processor can include one or more GPUs, which execute program instructions to generate or change display information.

[0231] The display screen is used to display images, videos, etc. The display screen includes a display panel.

[0232] The above-mentioned electronic device implements the intelligent control method for indoor lighting of the present application, achieving dynamic adjustment of the indoor lighting environment state, providing personalized lighting that suits the activity needs of indoor personnel, and maintaining an ideal lighting control state; using an adaptive learning method to update data, continuously optimizing its own control strategy, and continuously providing accurate lighting control services; it can improve energy utilization efficiency and reduce the effect of power waste.

[0233] An embodiment of the present invention also provides a storage medium, and a program product capable of implementing the intelligent control method for indoor lighting is stored in the storage medium.

[0234] The intelligent control method for indoor lighting includes:

[0235] S1. Configure an indoor illuminance sensor, a human body monitoring device, and electrically controllable lamps in the area to be illuminated;

[0236] S2. Determine the relationship between the control state of the electrically controllable lamps and the indoor illuminance in the state of no natural light, and the indoor illuminance is the detected value of the indoor illuminance sensor;

[0237] Divide the indoor personnel state into an unoccupied state and an occupied state, where the occupied state is divided into an active state and a non-active state, and determine the appropriate indoor illuminance interval under different indoor personnel states;

[0238] According to the work and rest schedule of the area to be illuminated, determine the initial values of the indoor personnel state parameters, and the indoor personnel state parameters include the proportion of the indoor personnel state and the indoor personnel state transition probability;

[0239] S3. Real-time collect and store the Internet of Things parameters of the area to be illuminated, and the Internet of Things parameters include indoor illuminance, indoor personnel monitoring status, and electrically controllable lamp status;

[0240] S4. Judge the current indoor personnel state according to the Internet of Things parameters and the indoor personnel state parameters of the current time period and store the judgment result, evaluate the current lighting environment state according to the Internet of Things parameters, the current indoor personnel state, and the appropriate illuminance interval corresponding to the current indoor personnel state, and decide the lighting environment state that should be achieved;

[0241] S5. Generate an adjustment action according to the current lighting environment state and the lighting environment state that should be achieved, and the adjustment action includes adjusting the opening and closing of the electrically controllable lamps and adjusting the brightness of the electrically controllable lamps;

[0242] S6. Execute the adjustment action to adjust the lighting environment;

[0243] S7. Loop to execute steps S3 - S6;

[0244] S8. After the time period conversion, switch the indoor personnel status parameters, and use the indoor personnel status parameters of the new time period to perform the indoor personnel status judgment in step S4;

[0245] S9. Update the data at a specific moment every day.

[0246] In some possible implementation manners, the intelligent control method for indoor lighting of the present invention can be implemented in the form of a program product, which includes program code. When the program product runs on a terminal device, the program code is used to cause the terminal device to execute the steps according to various exemplary embodiments of the present invention described in the above "Exemplary Method" section of this specification.

[0247] The storage medium of the present invention can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0248] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent control method for indoor lighting, characterized in that: The following steps are involved: S1. Install indoor illumination sensors, human monitoring equipment and electrically controllable lamps in the area to be illuminated; S2. Determine the relationship between the control state of the electrically controllable lamp and the indoor illumination in the absence of natural light, where the indoor illumination is the detection value of the indoor illumination sensor; The indoor occupancy state is divided into an unoccupied state and an occupied state, wherein the occupied state is divided into an active state and an inactive state, and the appropriate indoor illumination range under different indoor occupancy states is determined; Determine the initial value of the indoor occupant state parameter in each period according to the work and rest schedule of the area to be illuminated, and the indoor occupant state parameter includes the proportion of indoor occupant state and the indoor occupant state transition probability; S3. Real-time collection and storage of IoT parameters of the area to be illuminated, including indoor illumination, indoor personnel monitoring status, and electrically controllable lamp status; S4. Determine the current indoor occupant status according to the IoT parameters and the indoor occupant status parameters of the current period and store the determination result, evaluate the current lighting environment status according to the IoT parameters, the current indoor occupant status and the appropriate indoor illumination interval corresponding to the current indoor occupant status, and decide the lighting environment status that should be achieved; S5. Generate adjustment actions according to the current lighting environment state and the lighting environment state to be achieved, the adjustment actions include adjusting the opening and closing of the electrically controllable lamps and adjusting the brightness of the electrically controllable lamps; S6. Execute adjustment actions to adjust the lighting environment; S7 loop executes step S3-step S6; S8. After switching the indoor personnel status parameters during the period of conversion, the indoor personnel status parameters of the new period of time are used to determine the indoor personnel status in step S4; S9. Data is updated at a specific time every day. The scope of data update includes: Update the appropriate indoor illumination range corresponding to the indoor occupancy status according to the result of manual brightness adjustment; Update the proportion of indoor occupant status in each time period according to the indoor occupant status data and corresponding time stored in the historical records; The indoor personnel status transition probability in each time period is calculated based on the indoor personnel status transition records in the historical records.

2. The intelligent control method according to claim 1, characterized in that: In the absence of natural light, the relationship between indoor illumination and the control state of electrically controllable lamps is expressed as: L m =f(p) Where, L m is the indoor illumination, the unit is lx; p is the control state of the electrically controllable lamp; Among them, the indoor illumination corresponding to the maximum gear of the electrically controllable lamp is L mmax The indoor illumination corresponding to the minimum gear of the electrically controllable lamp is L mmin ; The suitable indoor illumination range for the activity state is the activity illumination range, and the indoor illumination range of the activity illumination range is [L Wmin ,L Wmax ]; The suitable indoor illumination interval in the inactive state is the inactive illumination interval, and the indoor illumination range of the inactive illumination interval is [L Rmin ,L Rmax ].

3. The intelligent control method according to claim 2, characterized in that: In step S2, L Rmax =L mmin , L Rmin , L Wmin , L Wmax The initial value of is fixed according to the perception of people in the area to be illuminated.

4. The intelligent control method according to claim 2, characterized in that: In step S5, the generated adjustment action needs to satisfy the constraint rules, which include: After the lighting environment is manually adjusted, the indoor occupant status is determined based on the indoor illuminance collected after the adjustment, and no automatic adjustment is performed for a period of time; Among them, the lights are turned off manually and the indoor illumination is lower than L Rmin , then the indoor state is judged as no one; after manually adjusting the brightness of the electrically controllable lamp, the indoor state is judged as active or inactive according to the comparison relationship between the indoor illumination and the suitable indoor illumination range under different indoor occupant states; When the indoor personnel status switches between the occupied state and the unoccupied state, the corresponding adjustment action is generated with a delay, and the delay generation time of the adjustment action is 1-5 minutes.

5. The intelligent control method according to claim 2, characterized in that: Step S1 also includes configuring an outdoor illumination sensor outside the window; Step S2 also includes counting the natural light illumination at each time period in at least one day and the highest natural light illumination throughout the day to form a natural light illumination reference value L for each time period. n and the highest natural light reference value L throughout the day nmax , the natural light illumination is the detection value of the outdoor illumination sensor; In step S3, the IoT parameters also include natural light illumination; Step S9 also includes updating L according to the natural light illumination of each period in the historical records. n and L nmax .

6. The intelligent control method according to claim 5, characterized in that: Step S1 also includes configuring an electrically controllable shading device on the windows of the area to be illuminated, wherein the electrically controllable shading device includes an electrically controllable lifting curtain and / or an adjustable blind; Step S3 also includes real-time acquisition of the state of the electrically controllable shading device; The adjustment action of step S5 also includes controlling the shading state of the electrically controllable shading device, and the specific control conditions are: In natural light <L Rmin When the automatic control state of the electrically controllable shading device is turned off, invalid instructions are prevented; When the natural light illuminance is ≥ L Rmin When the illumination level is higher than the suitable indoor illumination range for the current indoor occupant status, the shading state of the electrically controllable shading device is adjusted to reduce daylighting; When the natural light illuminance is ≥ L Rmin When the indoor illumination is lower than the suitable indoor illumination range for the current indoor occupant status, the shading state of the electrically controllable shading device is adjusted to increase daylighting; The automatic control state of the electrically controllable shading device is turned off within a period of time after the shading state of the electrically controllable shading device is manually adjusted.

7. An intelligent control system for indoor lighting, characterized in that: The method for implementing the intelligent control method according to any one of claims 1 to 6 comprises: A relationship determination and parameter setting unit, used to determine the relationship between the control state of the electrically controllable lamps and the indoor illumination in the absence of natural light, to classify the personnel status and determine the appropriate indoor illumination range under different indoor personnel status, and to determine the initial value of the indoor personnel status parameter in each time period; Data acquisition and storage unit, used to collect and store IoT parameters in real time; The state judgment and evaluation unit is used to judge the current state of the indoor personnel and store the judgment results, evaluate the current lighting environment state, and decide the lighting environment state that should be achieved; An adjustment action generating unit, used for generating an adjustment action; A lighting environment adjustment unit, used to perform adjustment actions; The loop and update unit is used to loop through the various steps, switch the indoor occupant status parameters after the time period is changed, and update the data at a specific time every day.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the intelligent control method for indoor lighting as described in any one of claims 1 to 6 are implemented.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the intelligent control method for indoor lighting as claimed in any one of claims 1 to 6 are implemented.

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