Intelligent LED lamp dimming method, intelligent LED lamp, driver and terminal

Abstract

This application relates to the field of LED technology, and in particular to a smart LED lamp dimming method, a smart LED lamp, a driver, and a terminal. The method includes: determining whether a start signal for the smart LED lamp has been obtained; if a start signal has been obtained, starting the smart LED lamp based on the start signal; obtaining a target mode; obtaining a target adjustment scheme based on the target mode; and adjusting the light of the smart LED lamp based on the target adjustment scheme. This application helps to improve the user's intelligent experience and quality of life.

Description

Technical Field

[0001] This application relates to the field of LED technology, and in particular to an intelligent LED lamp dimming method, an intelligent LED lamp, a driver, and a terminal. Background Technology

[0002] With the rapid development of LED technology, its luminous efficiency has gradually improved and its cost has gradually decreased. The application market for LEDs will become more extensive. Especially against the backdrop of global energy shortages, the application prospects of LED light sources in the lighting market have attracted much attention. It is believed by the industry that it will become the most promising and largest market in the next 10 years, and will replace incandescent lamps, compact energy-saving lamps and fluorescent lamps to become the next generation of new light sources.

[0003] LED lighting fixtures are a general term for LED lamps, referring to devices capable of transmitting, distributing, and altering the light distribution of LED light sources. This includes all components other than the LED light source itself, necessary for fixing and protecting it, as well as wiring accessories required for power connection. With the further maturation of LED technology, LEDs have achieved tremendous development in the design and development of residential lighting fixtures. Simultaneously, LED lights fully embody characteristics such as energy saving, health benefits, artistry, and user-friendliness, gradually becoming the dominant force in residential lighting culture.

[0004] However, LED lights in related technologies can often only make simple and fixed adjustments according to a pre-set program, or adjust the lights through manual operation. The intelligence level is low, which seriously reduces the user's intelligent experience and quality of life. Summary of the Invention

[0005] To help improve users' intelligent experience and quality of life, this application provides an intelligent LED light dimming method, an intelligent LED light, a driver, and a terminal.

[0006] The first aspect of this application provides an intelligent LED lamp dimming method, which adopts the following technical solution:

[0007] A smart LED light dimming method includes:

[0008] Determine whether the start signal of the smart LED light has been received;

[0009] If the start signal is received, the smart LED light is started based on the start signal;

[0010] Obtain the target pattern;

[0011] Based on the target pattern, a target adjustment scheme is obtained;

[0012] The lighting of the intelligent LED light is adjusted based on the target adjustment scheme.

[0013] By adopting the above technical solution, it is first determined whether the smart LED light has obtained a start signal. When the start signal is obtained, the smart LED light is started according to the start signal. Then, the target mode is obtained. According to different target modes, the target adjustment scheme for the target mode is selected to adjust the light. No manual adjustment by the user is required, which is more convenient and intelligent. Moreover, the selection of the adjustment scheme that matches the target mode can better meet the user's needs, thereby helping to improve the user's smart experience and quality of life.

[0014] Optionally, the specific steps for determining whether a start signal for the smart LED light has been obtained include:

[0015] Determine whether an active enable command has been received;

[0016] If the active start command is received, it is determined that the startup information has been obtained;

[0017] If the active activation command is not received, then obtain environmental information;

[0018] Determine whether the environmental information meets the preset environmental threshold;

[0019] If the environmental information meets the environmental threshold, it is determined that the startup information has been obtained;

[0020] If the environmental information does not meet the environmental threshold, then obtain the current time node;

[0021] Determine whether the current time node meets the preset time threshold;

[0022] If the current time node does not meet the time threshold, it is determined that the start signal has not been obtained;

[0023] If the current time node meets the time threshold, it is determined that the start signal has been obtained.

[0024] By adopting the above technical solution, the system first determines whether a user has actively initiated the activation of the smart LED light. If not, it then determines whether the environmental information meets a preset environmental threshold. If the environmental information meets the threshold, and if it does not, it finally determines whether the current time meets a preset time threshold, thus determining whether the smart LED light has received a start signal. By setting multiple judgment conditions, the system can more accurately determine whether the smart LED light has received a start signal. Setting multiple judgment conditions also means that there are multiple conditions for starting the smart LED light. The smart LED light can be activated through different start conditions, which better meets user needs and makes it more intelligent, thereby improving the user's smart experience and quality of life.

[0025] Optionally, the specific steps for determining whether the environmental information meets the preset environmental threshold include:

[0026] Acquire the light intensity and determine whether the light intensity is less than a preset first light threshold;

[0027] If the light intensity is less than the first light threshold, then the environmental information is determined to meet the environmental threshold.

[0028] If the light intensity is greater than or equal to the first light threshold, then determine whether the light intensity is less than the preset second light threshold;

[0029] If the light intensity is less than the second light threshold, then the sound intensity is obtained and it is determined whether the sound intensity is greater than or equal to the preset sound threshold;

[0030] If the sound intensity is greater than or equal to the sound threshold, then the environmental information is determined to meet the environmental threshold.

[0031] By adopting the above technical solution, the system first determines whether the light intensity is less than a preset first light threshold. When the light intensity is less than the first light threshold, it indicates that the light intensity is too low and the brightness is severely insufficient. Therefore, the system directly determines that the environmental information meets the environmental threshold, which is convenient for users. When the light intensity is greater than or equal to the first light threshold, the system then determines whether the light intensity is less than a preset second light threshold. If the light intensity is less than the second light threshold but greater than the first light threshold, it indicates that the light intensity is low and the brightness is poor, but it is still insufficient to determine that the environmental information meets the environmental threshold. Therefore, the system further determines whether the sound intensity is greater than or equal to a preset sound threshold. When the sound intensity is greater than or equal to the sound threshold, the system determines that the environmental information meets the environmental threshold. By setting different light thresholds and combining them with sound thresholds, the system can more accurately determine whether the environmental information meets the environmental threshold. This helps to more intelligently determine whether to turn on the smart LED lights, which not only helps to facilitate users' lives and improve their quality of life, but also helps to reduce the energy waste caused by arbitrarily turning on smart LED lights.

[0032] Optionally, before determining whether the environmental information meets a preset environmental threshold, the method further includes:

[0033] Determine whether a specified target exists within the target area;

[0034] If a specified target exists within the target area, determine whether the specified target is in a sleeping state;

[0035] If the designated target is in the sleep state, then the smart LED light is disabled.

[0036] If the specified target is not in the sleep state, then the subsequent operations continue.

[0037] By adopting the above technical solution, before determining whether the environmental information meets the environmental threshold, it is first determined whether there is a designated target in the target area. If not, there is no need to turn on the smart LED light, which helps to save energy. When the designated target is in the target area, it is then determined whether the designated user is in a sleep state. If the designated target is in a sleep state, the smart LED light is not turned on, which not only helps to save energy but also helps to prevent the smart LED light from affecting the user's rest. If the designated target is not in a sleep state, then the decision on whether to turn on the smart LED light is made based on subsequent judgment conditions. This is more intelligent and user-friendly, thus helping to improve the user's intelligent experience and quality of life.

[0038] Optionally, the specific steps for obtaining the target pattern include:

[0039] Determine whether an active setting command has been received;

[0040] If the active setting instruction is obtained, the target mode is selected based on the active setting instruction;

[0041] If the active setting instruction is not obtained, then historical usage data is obtained;

[0042] Based on the historical usage data, the target mode is selected.

[0043] By adopting the above technical solution, when an active setting command is obtained, the corresponding target mode is selected according to the active setting command to meet the user's actual needs; when no active setting command is obtained, the target mode is selected according to historical usage data. Historical usage data can reflect the user's living habits. The target mode suitable for the user's lifestyle is selected according to the user's living habits. The user does not need to make a manual selection, which is not only more convenient but also more intelligent. Therefore, it helps to improve the user's intelligent experience and quality of life.

[0044] Optionally, the specific steps for selecting the target mode based on the historical usage data include:

[0045] Retrieve current activity information for a specified target;

[0046] Determine whether the current activity information meets the preset activity rules;

[0047] If the current activity information meets the activity rules, then the target mode is selected based on the historical usage data;

[0048] If the current activity information does not meet the activity rules, then based on the current activity information, a target pattern corresponding to the current activity information is automatically matched.

[0049] By adopting the above technical solution, it is first determined whether the current activity information meets the preset activity rules. If the current activity information meets the activity rules, the target mode is selected based on historical usage data. If the current activity information does not meet the activity rules, the target mode corresponding to the current activity information is automatically matched based on the current activity information. By comparing the current activity information with the activity rules and combining historical usage data, the target mode that matches the current activity information is selected. Different target modes are intelligently selected based on historical usage data. Users do not need to set them manually, which is more intelligent and helps to improve the user's intelligent experience. Moreover, the target mode is automatically selected according to the user's lifestyle, which is more in line with the user's life and thus helps to improve the user's quality of life.

[0050] Optionally, the target mode includes a lifestyle mode, a learning mode, a sleep mode, a scenario mode, and an entertainment mode; the specific steps for obtaining a target adjustment plan based on the target mode include:

[0051] If the target mode is the lifestyle mode, then obtain lifestyle content;

[0052] Based on the aforementioned lifestyle details, a first adjustment plan is generated;

[0053] If the target mode is the learning mode, then the learning content is obtained;

[0054] Based on the learning content and the specified objectives, a second adjustment scheme is generated;

[0055] If the target pattern is the sleep pattern, then obtain the lifestyle habits of the specified target;

[0056] Based on the aforementioned lifestyle habits, a third adjustment plan is generated;

[0057] If the target mode is the scenario mode, then obtain the physiological indicators of the specified target;

[0058] Based on the aforementioned physiological indicators, a fourth regulation scheme is generated;

[0059] If the target mode is the entertainment mode, then obtain the entertainment items;

[0060] Based on the aforementioned entertainment items, a fifth adjustment scheme is generated.

[0061] By adopting the above technical solutions, corresponding target adjustment schemes are generated according to different target modes, instead of simply changing between a few fixed adjustment schemes. This not only better suits users' lives and improves their quality of life, but also helps to reduce unnecessary energy waste.

[0062] Secondly, this application also discloses an intelligent LED light, which adopts the following technical solution:

[0063] A smart LED light, comprising:

[0064] The judgment module is used to determine whether the start signal of the smart LED light has been obtained;

[0065] A startup module is used to start the smart LED light based on the startup signal if the startup signal is received.

[0066] The first acquisition module is used to acquire the target pattern;

[0067] The second acquisition module acquires the target adjustment scheme based on the target pattern;

[0068] An adjustment module is used to adjust the lighting of the smart LED light based on the target mode.

[0069] By adopting the above technical solution, it is first determined whether the smart LED light has obtained a start signal. When the start signal is obtained, the smart LED light is started according to the start signal. Then, the target mode is obtained. According to different target modes, the target adjustment scheme for the target mode is selected to adjust the light. No manual adjustment by the user is required, which is more convenient and intelligent. Moreover, the selection of the adjustment scheme that matches the target mode can better meet the user's needs, thereby helping to improve the user's smart experience and quality of life.

[0070] Thirdly, the intelligent actuator provided in this application adopts the following solution:

[0071] A smart driver for driving the smart LED light described in the second aspect.

[0072] Fourthly, the computer device provided in this application adopts the following technical solution:

[0073] A smart terminal includes a memory and a processor, wherein the memory stores a computer program that can run on the processor, and when the processor loads the computer program, it executes the method of the first aspect.

[0074] By adopting the above technical solution, a computer program is generated based on the method of the first aspect and stored in a memory for loading and execution by a processor. Thus, a smart terminal is made based on the memory and the processor, making it convenient for users to use.

[0075] In summary, this application includes the following beneficial technical effects:

[0076] First, determine whether the smart LED light has received a start signal. Once the start signal is received, activate the smart LED light according to the start signal. Then, obtain the target mode. Based on different target modes, select the target adjustment scheme for that target mode to adjust the light. No manual adjustment by the user is required, making it more convenient and intelligent. Furthermore, selecting the adjustment scheme that matches the target mode can better meet the user's needs, thereby helping to improve the user's smart experience and quality of life. Attached Figure Description

[0077] Figure 1 This is a main flowchart of an intelligent LED lamp dimming method according to an embodiment of this application;

[0078] Figure 2 This is a flowchart of the specific steps from S201 to S209;

[0079] Figure 3 This is a flowchart of the specific steps from S301 to S305;

[0080] Figure 4 This is a flowchart showing the specific steps from S401 to S404;

[0081] Figure 5 This is a flowchart of steps S501 to S504;

[0082] Figure 6 This is a flowchart of steps S601 to S604;

[0083] Figure 7 This is a flowchart of steps S701 to S710;

[0084] Figure 8 This is a module diagram of a smart LED lamp according to an embodiment of this application.

[0085] Explanation of reference numerals in the attached figures:

[0086] 1. Judgment module; 2. Startup module; 3. First acquisition module; 4. Second acquisition module; 5. Adjustment module. Detailed Implementation

[0087] In the first aspect, this application discloses a method for dimming intelligent LED lights.

[0088] Reference Figure 1 A method for dimming intelligent LED lights, comprising steps S101 to S105:

[0089] Step S101: Determine whether the start signal of the smart LED light has been obtained.

[0090] Specifically, in this embodiment, the start signal is the signal used to start the smart LED light. The start signal can be given manually or automatically acquired by the smart LED light based on the external environment.

[0091] Step S102: If a start signal is obtained, start the smart LED light based on the start signal.

[0092] Specifically, in this embodiment, the smart LED light automatically starts after receiving the start signal.

[0093] Step S103: Obtain the target pattern.

[0094] Specifically, in this embodiment, the target mode is the lighting mode selected by the smart LED light based on user information, including lifestyle mode, learning mode, sleep mode, scenario mode, and entertainment mode, and may also include other modes; user information includes user-issued instructions, user's living habits, and user activities, etc. Therefore, in this embodiment, the target mode can be selected by the user directly issuing instructions, or by calling the historical usage data of the smart LED light to obtain the user's usage habits (e.g., what target mode to select at what time) and selecting the target mode.

[0095] Step S104: Obtain the target adjustment scheme based on the target pattern.

[0096] Specifically, in this embodiment, the target adjustment scheme is a scheme for adjusting the lights that corresponds to the target mode.

[0097] Step S105: Adjust the lighting of the smart LED lights based on the target mode.

[0098] Specifically, in this embodiment, the corresponding dimming method is selected to adjust the light of the smart LED light according to different target modes. For example, the light is brightened in learning mode and dimmed in sleep mode.

[0099] The intelligent LED light dimming method provided in this embodiment first determines whether the intelligent LED light has received a start signal. When a start signal is received, the intelligent LED light is started according to the start signal. Then, the target mode is obtained. According to different target modes, a target adjustment scheme for the target mode is selected to adjust the light. No manual adjustment by the user is required, which is more convenient and intelligent. Moreover, the selection of an adjustment scheme that matches the target mode can better meet the user's needs, thereby helping to improve the user's intelligent experience and quality of life.

[0100] Reference Figure 2 In one embodiment of this example, the specific steps of step S101, determining whether a start signal for the smart LED light has been obtained, include steps S201 to S209:

[0101] Step S201: Determine whether an active start command has been received.

[0102] Specifically, in this embodiment, the active activation command refers to the user's active activation command to turn on the smart LED light, such as by manually adjusting the switch or by voice.

[0103] Step S202: If an active start command is received, it is determined that the start information has been obtained.

[0104] Step S203: If no active start command is received, obtain environmental information.

[0105] Specifically, in this embodiment, environmental information includes sound and light intensity, etc.

[0106] Step S204: Determine whether the environmental information meets the preset environmental threshold.

[0107] Specifically, in this embodiment, the environmental threshold is a criterion for determining whether startup information has been obtained, such as light intensity below 0.5 lux or sound decibels above 30 decibels.

[0108] Step S205: If the environmental information meets the environmental threshold, it is determined that the startup information has been obtained.

[0109] Step S206: If the environmental information does not meet the environmental threshold, then obtain the current time node.

[0110] Specifically, in this embodiment, the current time node is the current specific time, such as 19:15 on November 20, 2022.

[0111] Step S207: Determine whether the current time node meets the preset time threshold.

[0112] Specifically, in this embodiment, the time threshold can be set according to the sunset time of different regions and seasons. For example, the sunset time in Changsha, Hunan in summer is from 18:00 to 18:30, so the time threshold is from 18:00 to 18:30. If the current time node is between 18:00 and 18:30, it means that the current time node meets the preset time threshold. If the current time node is not between 18:00 and 18:30, it means that the current time node does not meet the preset time threshold.

[0113] Step S208: If the current time node does not meet the time threshold, it is determined that the start signal has not been obtained.

[0114] Step S209: If the current time node meets the time threshold, it is determined that the start signal has been obtained.

[0115] The intelligent LED light dimming method provided in this embodiment first determines whether a user has actively turned on the intelligent LED light. If not, it then determines whether the environmental information meets a preset environmental threshold. If the environmental information meets the environmental threshold, and if it does not, it finally determines whether the current time node meets a preset time threshold, thereby determining whether the intelligent LED light has received a start signal. By setting multiple judgment conditions, it helps to more accurately determine whether the intelligent LED light has received a start signal. Setting multiple judgment conditions also means that there are multiple conditions for starting the intelligent LED light. The intelligent LED light can be started through its different start conditions, which better meets user needs and is more intelligent, thereby helping to improve the user's intelligent experience and quality of life.

[0116] Reference Figure 3 In one embodiment of this example, step S204, determining whether the environmental information meets a preset environmental threshold, includes steps S301 to S305:

[0117] Step S301: Obtain the light intensity and determine whether the light intensity is less than the preset first light threshold.

[0118] Specifically, in this embodiment, the light intensity refers to the light intensity in the space where the smart LED light is located. For example, if the light intensity in the room where the smart LED light is installed is 5 lux, then the light intensity is 5 lux. The light intensity can be measured by a lux meter or other devices; the first light threshold can be set to 0.5 lux.

[0119] Step S302: If the light intensity is less than the first light threshold, then the environmental information is determined to meet the environmental threshold.

[0120] Specifically, in this embodiment, if the light intensity is less than the first light threshold, it indicates that the light intensity is too low. Under such light intensity, the user cannot work or live normally. Therefore, it is determined that the environmental information meets the environmental threshold.

[0121] Step S303: If the light intensity is greater than or equal to the first light threshold, then determine whether the light intensity is less than the preset second light threshold.

[0122] Specifically, in this embodiment, the second illumination threshold can be set to 5 lux.

[0123] Step S304: If the light intensity is less than the second light threshold, then obtain the sound intensity and determine whether the sound intensity is greater than or equal to the preset sound threshold.

[0124] Specifically, in this embodiment, the sound intensity refers to the sound intensity in the space where the smart LED light is located, and the sound threshold can be set to 30 decibels.

[0125] Step S305: If the sound intensity is greater than or equal to the sound threshold, then the environmental information is determined to meet the environmental threshold.

[0126] The intelligent LED light dimming method provided in this embodiment first determines whether the light intensity is less than a preset first light threshold. When the light intensity is less than the first light threshold, it indicates that the light intensity is too low and the brightness is severely insufficient. Therefore, it is directly determined that the environmental information meets the environmental threshold, which is convenient for users. When the light intensity is greater than or equal to the first light threshold, it is then determined whether the light intensity is less than a preset second light threshold. If the light intensity is less than the second light threshold but greater than the first light threshold, it indicates that the light intensity is low and the brightness is poor, but it is still insufficient to determine whether the environmental information meets the environmental threshold. Therefore, it is necessary to further determine whether the sound intensity is greater than or equal to a preset sound threshold. When the sound intensity is greater than or equal to the sound threshold, it is determined that the environmental information meets the environmental threshold. By setting different light thresholds and combining them with sound thresholds, it is helpful to more accurately determine whether the environmental information meets the environmental threshold, thereby helping to more intelligently determine whether to turn on the intelligent LED light. This not only helps to facilitate users' lives and improve their quality of life, but also helps to reduce the waste of electricity caused by arbitrarily turning on the intelligent LED light.

[0127] Reference Figure 4 Before step S204 determines whether the environmental information meets the preset environmental threshold, steps S401 to S404 are also included:

[0128] Step S401: Determine whether the specified target exists within the target area.

[0129] Specifically, in this embodiment, the target area refers to the area where the smart LED light is located, such as the room where the smart LED light is installed; the designated target refers to humans; in this embodiment, temperature sensors and / or cameras can be used to determine whether there are humans in the room.

[0130] Step S402: If a specified target exists within the target area, determine whether the specified target is in a sleep state.

[0131] Specifically, in this embodiment, the physiological state of the specified target, such as breathing, heart rate and blood pressure, can be obtained through devices such as smartwatches or bracelets. Then, based on the location and state of the specified user captured by the camera, such as lying in bed, a sound sensor can be used to determine whether the specified target is snoring or talking in their sleep to determine whether they are in a sleep state.

[0132] Step S403: If the specified target is in a sleep state, then disable the smart LED light.

[0133] Specifically, in this embodiment, if the target is in a sleep state, the light is not turned on, or the light brightness can be turned down.

[0134] Step S404: If the specified target is not in a sleep state, continue with the subsequent operations.

[0135] Specifically, in this embodiment, if the specified target is not in a sleep state, then step S204 is executed.

[0136] The intelligent LED light dimming method provided in this embodiment first determines whether a specified target is in the target area before judging whether the environmental information meets the environmental threshold. If not, the intelligent LED light does not need to be turned on, thus helping to save energy. When the specified target is in the target area, it then determines whether the specified user is in a sleep state. If the specified target is in a sleep state, the intelligent LED light is not turned on, which not only helps to save energy but also helps to prevent the intelligent LED light from affecting the user's rest. If the specified target is not in a sleep state, it then determines whether to turn on the intelligent LED light based on subsequent judgment conditions. This is more intelligent and user-friendly, thus helping to improve the user's intelligent experience and quality of life.

[0137] Reference Figure 5 In one embodiment of this example, step S103, which involves obtaining the target pattern, specifically includes steps S501 to S504:

[0138] Step S501: Determine whether an active setting command has been obtained.

[0139] Specifically, in this embodiment, the active setting command is the command issued by the user to select the target mode.

[0140] Step S502: If an active setting command is obtained, select the target mode based on the active setting command.

[0141] Specifically, in this embodiment, if an active setting instruction is obtained, the target mode corresponding to the active setting instruction is selected according to the active setting instruction.

[0142] Step S503: If no active setting command is obtained, then obtain historical usage data.

[0143] Specifically, in this embodiment, historical usage data includes historical usage records of the smart LED lights, such as which target mode was used at which time stage.

[0144] Step S504: Select the target mode based on historical usage data.

[0145] Specifically, in this embodiment, the current time node is matched with the corresponding historical time in the historical usage data, and then the target mode selected by the historical time node is used as the target mode for the current time node. For example, in the past month, for more than 25 days between 19:00 and 21:30, the user was cooking, washing dishes, taking a bath, and doing laundry, which is more in line with the lifestyle. Therefore, when the current time node is between 19:00 and 21:30, if no active setting instruction is received, the smart LED will automatically select the lifestyle mode as the target mode for the current time node.

[0146] The intelligent LED light dimming method provided in this embodiment selects the corresponding target mode according to the active setting command when an active setting command is obtained, thereby meeting the user's actual needs; when no active setting command is obtained, the target mode is selected according to historical usage data. Historical usage data can reflect the user's living habits. The target mode suitable for the user's lifestyle is selected according to the user's living habits. The user does not need to make a manual selection, which is not only more convenient but also more intelligent, thus helping to improve the user's intelligent experience and quality of life.

[0147] Reference Figure 6 In one embodiment of this example, step S504, which selects the target mode based on historical usage data, includes steps S601 to S604:

[0148] Step S601: Obtain the current activity information of the specified target.

[0149] Specifically, in this embodiment, the current activity information refers to the activities that the target is doing at the current time point, such as cooking, studying, and sleeping.

[0150] Step S602: Determine whether the current activity information meets the preset activity rules.

[0151] Specifically, in this embodiment, the activity rules can be set according to the user's lifestyle, such as eating between 19:30 and 20:00 and resting between 22:30 and 7:00.

[0152] Step S603: If the current activity information meets the activity rules, then select the target mode based on historical usage data.

[0153] Specifically, in this embodiment, if the current activity information meets the activity rules, then based on the historical time node corresponding to the current time node, the target mode selected at the historical time node (a certain time node in the past) is used as the target mode for the current time node. For example, if the user often cooks between 19:00 and 19:30, and cooking is more in line with the lifestyle, that is, the smart LED light is often in the lifestyle mode between 19:00 and 19:30. So, if the current time node is between 19:00 and 19:30 and the user is cooking, the smart LED light will automatically select the lifestyle mode without receiving an active setting instruction.

[0154] Step S604: If the current activity information does not meet the activity rules, then automatically match the target pattern corresponding to the current activity information based on the current activity information.

[0155] Specifically, in this embodiment, if the current activity information does not meet the activity rules, for example, if the current time is between 19:00 and 19:30 and the user is watching TV instead of cooking, the smart LED light will automatically match the target mode commonly used when watching TV in historical usage data as the target mode for the current time node based on the current activity information. For example, if watching TV is more compatible with the entertainment mode, that is, if the smart LED light is often in the entertainment mode when the user is watching TV, then if the current time is between 19:00 and 19:30 and the user is watching TV instead of cooking, the smart LED light will automatically select the entertainment mode.

[0156] The intelligent LED light dimming method provided in this embodiment first determines whether the current activity information meets the preset activity rules. If the current activity information meets the activity rules, a target mode is selected based on historical usage data. If the current activity information does not meet the activity rules, a target mode corresponding to the current activity information is automatically matched based on the current activity information. By comparing the current activity information with the activity rules and combining them with historical usage data, a target mode matching the current activity information is selected. Different target modes are intelligently selected based on historical usage data, eliminating the need for manual settings by the user. This higher level of intelligence helps improve the user's intelligent experience. Furthermore, automatically selecting the target mode according to the user's lifestyle better suits the user's life, thus helping to improve the user's quality of life.

[0157] Reference Figure 7 In one embodiment of this example, step S104 specifically includes steps S701 to S710:

[0158] Step S701: If the target mode is lifestyle mode, then obtain lifestyle content.

[0159] Specifically, in this embodiment, the daily activities include cooking, eating, washing dishes, taking a bath, washing clothes, and cleaning, which can be obtained by calling a video database.

[0160] Step S702: Generate a first adjustment plan based on the content of daily life.

[0161] Specifically, in this embodiment, the first adjustment scheme refers to the lighting adjustment scheme formulated according to the content of life. For example, when cooking, washing dishes, or washing clothes, a higher brightness is needed for a clearer view, so the light intensity needs to be increased. However, when eating or taking a bath, the light intensity can be appropriately reduced to improve the coziness.

[0162] Step S703: If the target mode is learning mode, then obtain the learning content.

[0163] Specifically, in this embodiment, the learning content includes reading and writing, which can be obtained by accessing a video database.

[0164] Step S704: Generate a second adjustment scheme based on the learning content and the specified goal.

[0165] Specifically, in this embodiment, the second adjustment scheme refers to the scheme for adjusting the light according to the learning content. For example, when the user needs to read or write, such as when a student is doing homework, the light intensity needs to be increased in order to make the user more focused. However, when the user is just reading, such as reading before bed, the light intensity can be appropriately reduced compared to when doing homework, in order to help the user relax and gradually enter a state of sleep.

[0166] Step S705: If the target mode is sleep mode, then obtain the lifestyle habits of the specified target.

[0167] Specifically, in this embodiment, lifestyle habits include what time the user goes to sleep, whether they get up at night after falling asleep, and if so, at what time of day.

[0168] Step S706: Generate a third adjustment plan based on lifestyle habits.

[0169] Specifically, in this embodiment, the third adjustment scheme refers to a scheme for adjusting the light according to living habits. For example, if the user is asleep between 11:00 PM and 7:00 AM, the light intensity can be adjusted to 0 or a relatively low intensity. If the user usually gets up at night between 4:00 AM and 4:30 AM, the light intensity can be adjusted to a suitable intensity, such as 1 lux, between 4:00 AM and 4:30 AM. When the user gets up at night, the light intensity will not be too low and they will not be unable to see the way, nor will the light intensity be too high and reduce their sleepiness.

[0170] Step S707: If the target mode is scenario mode, then obtain the physiological indicators of the specified target.

[0171] Specifically, in this embodiment, physiological indicators include respiratory rate, blood pressure, and heart rate, etc., which can be obtained by calling data from intelligent detection devices, such as smart bracelets, smartwatches, etc.; of course, in addition to obtaining physiological indicators, the sound intensity of the user's voice can also be obtained.

[0172] Step S708: Generate a fourth regulatory scheme based on physiological indicators.

[0173] Specifically, in this embodiment, the fourth adjustment scheme refers to a scheme for adjusting the light based on physiological indicators. For example, when a user is arguing, their breathing rate is faster, blood pressure is higher, and heart rate is also faster than normal. Therefore, the light intensity can be appropriately reduced, and the color of the smart LED light can be adjusted to a warm color, such as pink, to help the user soothe their mood. When a user is depressed and their breathing rate is slower, blood pressure is lower, and heart rate is also slower, the light intensity can be appropriately increased, and the color of the smart LED light can be adjusted to a warm color, such as red or orange, to help the user recover their mood as quickly as possible.

[0174] Step S709: If the target mode is entertainment mode, then obtain the entertainment items.

[0175] Specifically, in this embodiment, entertainment items include card games and various other games.

[0176] Step S710: Generate the fifth adjustment scheme based on the entertainment items.

[0177] Specifically, in this embodiment, the fifth adjustment scheme refers to a lighting adjustment scheme tailored to the entertainment activity. For example, when watching television, the user can lower the light intensity to save energy and create a better viewing atmosphere. Conversely, when playing board games, the user can increase the light intensity to ensure a clear view. The intelligent LED light dimming method provided in this embodiment generates corresponding target adjustment schemes based on different target modes, rather than simply switching between a few fixed adjustment schemes. This not only better suits the user's lifestyle and improves their quality of life but also helps reduce unnecessary energy waste.

[0178] The implementation principle of a smart LED lamp dimming method in this application embodiment is as follows: determine whether a start signal of the smart LED lamp is obtained; if a start signal is obtained, start the smart LED lamp based on the start signal; obtain a target mode; obtain a target adjustment scheme based on the target mode; and adjust the light of the smart LED lamp based on the target adjustment scheme.

[0179] Secondly, this application also discloses a smart LED light.

[0180] Reference Figure 8 A smart LED light, comprising:

[0181] Judgment module 1 is used to determine whether the start signal of the smart LED light has been obtained;

[0182] Startup module 2 is used to start the smart LED light based on the startup signal if a startup signal is received.

[0183] The first acquisition module 3 is used to acquire the target pattern;

[0184] The second acquisition module 4 acquires the target adjustment scheme based on the target pattern;

[0185] Adjustment module 5 is used to adjust the lighting of the smart LED lights based on the target mode.

[0186] The implementation principle of a smart LED lamp dimming method in this application embodiment is as follows: the judgment module 1 determines whether a start signal of the smart LED lamp is obtained. If a start signal is obtained, the judgment module 1 sends the judgment result to the start module 2. The start module 2 starts the smart LED lamp based on the start signal. The first acquisition module 3 acquires the target mode and sends the target mode to the second acquisition module 4. The second acquisition module 4 acquires the target adjustment scheme based on the target mode and sends the target adjustment scheme to the adjustment module 5. The adjustment module 5 adjusts the light of the smart LED lamp based on the target mode, thereby achieving the same technical effect as the aforementioned smart LED lamp dimming method.

[0187] Thirdly, embodiments of this application disclose an intelligent driver for driving the intelligent LED light of the second aspect.

[0188] Fourthly, this application discloses a smart terminal, including a memory and a processor. The memory stores a computer program that can run on the processor. When the processor loads the computer program, it executes a smart LED dimming method according to the above embodiment.

[0189] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A method for intelligent LED lamp dimming, characterized in that, include: Determine whether the start signal of the smart LED light has been received; If the start signal is received, the smart LED light is started based on the start signal; Obtain the target pattern; Based on the target pattern, a target adjustment scheme is obtained; The lighting of the intelligent LED light is adjusted based on the target adjustment scheme. The specific steps for determining whether a start signal for the smart LED light has been received include: Determine whether an active enable command has been received; If the active start command is received, it is determined that the startup information has been obtained; If the active activation command is not received, then obtain environmental information; Determine whether the environmental information meets the preset environmental threshold; If the environmental information meets the environmental threshold, then it is determined that the startup information has been obtained; If the environmental information does not meet the environmental threshold, then obtain the current time node; Determine whether the current time node meets the preset time threshold; If the current time node does not meet the time threshold, it is determined that the start signal has not been obtained; If the current time node meets the time threshold, it is determined that the start signal has been obtained; The specific steps for obtaining the target pattern include: Determine whether an active setting command has been received; If the active setting instruction is obtained, the target mode is selected based on the active setting instruction; If the active setting instruction is not obtained, then historical usage data is obtained; Based on the historical usage data, the target mode is selected; The specific steps for selecting the target mode based on the historical usage data include: Retrieve current activity information for a specified target; Determine whether the current activity information meets the preset activity rules, which are set according to the user's lifestyle habits; If the current activity information meets the activity rules, then the target mode is selected based on the historical usage data; If the current activity information does not meet the activity rules, then based on the current activity information, a target pattern corresponding to the current activity information is automatically matched. The target mode includes a lifestyle mode, a learning mode, a sleep mode, a scenario mode, and an entertainment mode. The specific steps for obtaining a target adjustment plan based on the target mode include: If the target mode is the lifestyle mode, then obtain lifestyle content; Based on the aforementioned lifestyle details, a first adjustment plan is generated; If the target mode is the learning mode, then the learning content is obtained; Based on the learning content and the specified objectives, a second adjustment scheme is generated; If the target pattern is the sleep pattern, then obtain the lifestyle habits of the specified target; Based on the aforementioned lifestyle habits, a second adjustment plan is generated; If the target mode is the scenario mode, then the physiological indicators and sound intensity of the specified target are obtained. The physiological indicators include respiratory rate, blood pressure and heart rate. The physiological indicators and sound intensity are obtained by calling data from the intelligent detection device. Based on the aforementioned physiological indicators, a third regulation scheme is generated; If the target mode is the entertainment mode, then obtain the entertainment items; Based on the aforementioned entertainment items, a fourth adjustment scheme is generated.

2. The intelligent LED lamp dimming method according to claim 1, characterized in that, The specific steps for determining whether the environmental information meets the preset environmental threshold include: Acquire the light intensity and determine whether the light intensity is less than a preset first light threshold; If the light intensity is less than the first light threshold, then the environmental information is determined to meet the environmental threshold. If the light intensity is greater than or equal to the first light threshold, then determine whether the light intensity is less than the preset second light threshold; If the light intensity is less than the second light threshold, then the sound intensity is obtained and it is determined whether the sound intensity is greater than or equal to the preset sound threshold; If the sound intensity is greater than or equal to the sound threshold, then the environmental information is determined to meet the environmental threshold.

3. The intelligent LED lamp dimming method according to claim 1, characterized in that, Before determining whether the environmental information meets the preset environmental threshold, the method further includes: Determine whether a specified target exists within the target area; If a specified target exists within the target area, determine whether the specified target is in a sleep state; If the designated target is in the sleep state, then the smart LED light is disabled. If the specified target is not in the sleep state, then continue with the subsequent operations.

4. A smart LED light, characterized in that, include: The judgment module (1) is used to determine whether the start signal of the smart LED light has been obtained; The startup module (2) is used to start the smart LED light based on the startup signal if the startup signal is obtained; The first acquisition module (3) is used to acquire a target mode; the target mode includes a lifestyle mode, a learning mode, a sleep mode, a scenario mode, and an entertainment mode based on the target mode; The second acquisition module (4) acquires the target adjustment scheme based on the target pattern; The adjustment module (5) is used to adjust the lighting of the smart LED lamp based on the target mode; The judgment module (1) is specifically used for: Determine whether an active enable command has been received; If the active start command is received, it is determined that the startup information has been obtained; If the active activation command is not received, then obtain environmental information; Determine whether the environmental information meets the preset environmental threshold; If the environmental information meets the environmental threshold, then it is determined that the startup information has been obtained; If the environmental information does not meet the environmental threshold, then obtain the current time node; Determine whether the current time node meets the preset time threshold; If the current time node does not meet the time threshold, it is determined that the start signal has not been obtained; If the current time node meets the time threshold, it is determined that the start signal has been obtained; The first acquisition module (3) is specifically used for: Determine whether an active setting command has been received; If the active setting instruction is obtained, the target mode is selected based on the active setting instruction; If the active setting instruction is not obtained, then historical usage data is obtained; Based on the historical usage data, the target mode is selected; The specific steps for selecting the target mode based on the historical usage data include: Retrieve current activity information for a specified target; Determine whether the current activity information meets the preset activity rules; If the current activity information meets the activity rules, then the target mode is selected based on the historical usage data; If the current activity information does not meet the activity rules, then based on the current activity information, a target pattern corresponding to the current activity information is automatically matched. The second acquisition module (4) is specifically used for: If the target mode is the lifestyle mode, then obtain lifestyle content; Based on the aforementioned lifestyle details, a first adjustment plan is generated; If the target mode is the learning mode, then the learning content is obtained; Based on the learning content and the specified objectives, a second adjustment scheme is generated; If the target pattern is the sleep pattern, then obtain the lifestyle habits of the specified target; Based on the aforementioned lifestyle habits, a second adjustment plan is generated; If the target mode is the scenario mode, then obtain the physiological indicators of the specified target; Based on the aforementioned physiological indicators, a third regulation scheme is generated; If the target mode is the entertainment mode, then obtain the entertainment items; Based on the aforementioned entertainment items, a fourth adjustment scheme is generated.

5. An intelligent actuator, characterized in that, The driver is used to drive the smart LED lamp of claim 4.

6. A smart terminal, comprising a memory and a processor, characterized in that, The memory is used to store computer programs that can run on the processor, and when the processor loads the computer program, it executes the method of any one of claims 1 to 3.

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