CN108156732B - Method and device for adjusting light - Google Patents

Abstract

The present disclosure relates to a method and a device for adjusting light, which are used for adjusting the appetite of a user and further adjusting the health of the user. The method comprises the following steps: determining a human index identifying a degree of human health; determining light control parameters according to the human body index; and sending the light control parameters to the intelligent lamp so that the intelligent lamp works according to the light control parameters. The intelligent lamp can be controlled to emit light according to the human body index, the ambient light of the environment where the user is located when the user has a meal can be adjusted, the appetite of the user is adjusted, the purpose of adjusting the health of the user is finally achieved, physical and mental health of the user is facilitated, and the use value and user experience of the intelligent lamp are improved.

Description

Method and device for adjusting lighting

technical field

The present disclosure relates to the field of Internet technologies, and in particular, to a method and device for adjusting lighting.

Background technique

Generally speaking, the body's fatness and thinness affects human health to a certain extent. For example, being overweight can have a range of adverse health effects. Underweight is not only a symptom, but also a disease, it has many hazards to human health. Obviously, being underweight, like obesity, is not a healthy criterion. It is a common way to control the health of the human body within a reasonable range by controlling the diet. Relying on people's subjective consciousness to control diet requires strong willpower. If the willpower is not strong enough, it will give up halfway. How to influence people's appetite by adjusting the objective environment in which people live, and then control the diet is a technical problem that needs to be solved at present.

SUMMARY OF THE INVENTION

In order to overcome the problems existing in the related art, the embodiments of the present disclosure provide a method and device for adjusting lighting, so as to adjust the user's appetite, and then adjust the user's health.

According to a first aspect of the embodiments of the present disclosure, there is provided a method for adjusting lighting, including:

Determining the human body index, which identifies the degree of human health;

According to the human body index, determine the lighting control parameters;

The lighting control parameters are sent to the smart lights, so that the smart lights work according to the lighting control parameters.

In one embodiment, the determining of the lighting control parameters according to the human body index includes:

The first preset list is inquired according to the human body index, and the color temperature belonging to the control parameter is obtained; the first preset list includes the corresponding relationship between the human body index and the color temperature.

In one embodiment, the determining a human body index that identifies the degree of human health includes:

Receive a first light adjustment request sent by the smart light, where the first light adjustment request includes: the device identifier of the smart light;

Query a second preset list according to the device identification of the smart light to obtain the user identification, where the second preset list includes the correspondence between the device identification of the smart light and the user identification;

A third preset list is queried according to the user identifier to obtain the human body index, where the third preset list includes the correspondence between the user identifier and the human body index.

In one embodiment, the sending the light control parameters to the smart light includes:

Query a fourth preset list based on the device identifier of the smart light to obtain the location information of the smart light, where the fourth preset list includes the correspondence between the device identifier of the smart light and the location information;

When the location information of the smart light is a preset dining position, the light control parameter is sent to the smart light corresponding to the device identifier.

In one embodiment, the method further includes:

Receive human body information uploaded by different users; the human body information includes user identification;

Calculate the corresponding human body index according to the human body information corresponding to the user identification;

The third preset list is updated according to the user identification and the corresponding body index.

In one embodiment, before sending the light control parameters to the smart light corresponding to the device identifier, the method further includes:

determining the current time when the first light adjustment request is received;

It is determined that the current time is within a preset meal time range.

In one embodiment, the determining a human body index that identifies the degree of human health includes:

Receive a second light adjustment request sent by the user terminal, where the second light adjustment request includes: a user ID and a device ID of the smart light;

Query a fifth preset list according to the user identifier to obtain the human body index, where the fifth preset list includes the correspondence between the user identifier and the human body index;

The sending of the light control parameters to the smart light includes:

The light control parameters are sent to the corresponding smart light according to the device identification of the smart light.

In one embodiment, before sending the light control parameters to the corresponding smart light according to the device identification of the smart light, the method further includes:

determining the current time when the second light adjustment request is received;

It is determined that the current time is within a preset meal time range.

In one embodiment, before sending the light control parameters to the smart light, the method further includes:

Receive the user's exercise amount uploaded by the wearable device;

Adjusting the color temperature belonging to the lighting control parameter according to the user's movement amount to obtain the adjusted color temperature;

The sending of the light control parameters to the smart light includes:

Send the adjusted color temperature to the smart light.

In one embodiment, the adjusting the color temperature belonging to the lighting control parameter according to the user's movement amount to obtain the adjusted color temperature includes:

Query a sixth preset list according to the user's exercise amount to obtain a color temperature adjustment amount, where the sixth preset list includes a corresponding relationship between the user's exercise amount and the color temperature adjustment amount;

According to the color temperature and the color temperature adjustment amount, the adjusted color temperature is obtained.

According to a second aspect of the embodiments of the present disclosure, there is provided a method for adjusting lighting, the method comprising:

Receive lighting control parameters; the lighting control parameters are determined by the server according to the human body index that identifies the degree of human health;

The smart light is controlled to work according to the light control parameters.

According to a third aspect of the embodiments of the present disclosure, there is provided a device for adjusting lighting, including:

processor;

memory for storing processor-executable instructions;

Wherein, the processor is configured to execute the method described in the first aspect.

According to a fourth aspect of the embodiments of the present disclosure, there is provided a device for adjusting lighting, including:

processor;

memory for storing processor-executable instructions;

Wherein, the processor is configured to execute the method described in the second aspect above.

According to a fifth aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements the method described in the first aspect.

According to a sixth aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements the method described in the second aspect.

The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects: the server may determine the lighting control parameters for controlling the smart lights according to the human body index that identifies the degree of human health, and send the above-mentioned lighting control parameters to the smart lights to control the smart lights to emit light . In this way, controlling the light of the smart light according to the human body index can adjust the ambient light of the environment where the user is eating, thereby adjusting the user's appetite, and finally achieving the purpose of adjusting the user's health, which is beneficial to the physical and mental health of the user, and improves the use value of the smart light and the user. experience.

It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description serve to explain the principles of the invention.

FIG. 1 is an application scenario diagram of a method for adjusting lights according to an exemplary embodiment.

FIG. 2 is a flow chart of a method for adjusting lights performed by the server 11 according to an exemplary embodiment.

FIG. 3 is a flowchart illustrating a method for adjusting the light performed by the smart light 12 according to an exemplary embodiment.

4 to 5 are flowcharts of a method for adjusting lights performed by the server 11 according to another exemplary embodiment.

FIG. 6 is a flow chart of a method for adjusting lights performed by the server 11 according to another exemplary embodiment.

FIG. 7A is a flow chart of a method for adjusting lights performed by the server 11 according to another exemplary embodiment.

FIG. 7B is an application scenario diagram of a method for adjusting lights according to another exemplary embodiment.

FIG. 8 is a flowchart of a method for adjusting lights performed by the server 11 according to another exemplary embodiment.

FIG. 9 is a flow chart of a method for adjusting lights performed by the server 11 according to another exemplary embodiment.

FIG. 10 is a flow chart of a method for adjusting lights performed by the server 11 according to another exemplary embodiment.

Fig. 11 is a block diagram of an apparatus for adjusting light according to an exemplary embodiment.

Detailed ways

Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with some aspects of the invention as recited in the appended claims.

FIG. 1 is an application scenario diagram of a method for adjusting lights according to an exemplary embodiment. In the application scenario shown in FIG. 1 , the above-mentioned method for adjusting lights is implemented by the server 11 , the smart light 12 and the detection device 13 . The detection device 13 includes a communication module, and the user can set the communication module of the detection device 13 through the user terminal 14, so that the detection device 13 can communicate with the server 11 through a preset network. The detection device 13 can upload the detected human body index, which can be used to determine and identify the degree of human health, to the server 11 . Similarly, the smart light 12 also includes a communication module, and the user can also set the smart light 12 through the user terminal 14, so that the smart light 12 can communicate with the server 11 through a preset network. However, if the detection device 13 can only detect part of the human body information for determining the human body index, the user terminal 14 also needs to upload the rest of the human body information for the server 11 to determine the user's human body index after synthesizing the received information. In the embodiment of the present disclosure, the user terminal 14 may be a smart phone, a personal digital assistant, a wearable device such as a smart watch, a smart bracelet, etc., and the communication module may be a wireless communication module such as a Bluetooth module, a WIFI module, and a Zigbee module.

FIG. 2 is a flowchart of a method for adjusting lights performed by the server 11 according to an exemplary embodiment, and FIG. 3 is a flowchart of a method for adjusting lights performed by a smart light 12 according to an exemplary embodiment, as shown in FIG. 2 As shown in FIG. 3 , the method for adjusting lighting includes the following steps S201-S203 and S301-S302:

In step S201, a human body index identifying the degree of human health is determined.

In step S202, lighting control parameters are determined according to the human body index.

In step S203, the light control parameters are sent to the smart light, so that the smart light works according to the light control parameters.

In step S301, lighting control parameters are received; the lighting control parameters are determined by the server according to a human body index that identifies the degree of human health.

In step S302, the smart light is controlled to work according to the light control parameter.

In an exemplary embodiment, the human body index identifying the degree of human health may be a BMI index (ie, body mass index, referred to as body mass index, Body Mass Index in English, referred to as BMI), which indicates the degree of obesity and thinness of the human body. The BMI index is calculated from the weight of the user and the height of the user according to the calculation formula of the BMI index. where the BMI is equal to weight/(height) ² . For an adult, the corresponding relationship between BMI index and the degree of body fat and thinness can be seen in Table 1. If the above-mentioned detection device 13 is a weight scale, after the weight scale sends the user's weight to the server 11 , the server 11 also needs to calculate the user's body index according to the height uploaded by the user through the user terminal 14 .

In one exemplary embodiment, the body index that identifies the degree of fitness of the human body may be body fat percentage. Body fat rate is the ratio of body fat content to body weight. If the above-mentioned detection device 13 is a body fat scale, the body index can be directly obtained from the body fat scale and uploaded to the server 11 . Of course, the body index is not limited to the BMI and body fat percentage provided by the embodiments of the present disclosure, and may also be other data that can identify the degree of human health in practical applications.

Table 1

body fatness BMI Too light below 18.5 normal 18.5～23.9 too heavy 24～27 obesity 28～32 very obese higher than 32

In an exemplary embodiment, the server 11 may determine the color temperature in the lighting control parameters according to the human body index. In an exemplary embodiment, the server 11 pre-stores a first preset list, the first preset list includes the corresponding relationship between the human body index and the color temperature, and the server 11 can query the first preset list according to the human body index , obtain the color temperature corresponding to the human body index. In the first preset list, the color temperature may be positively correlated with the human body index, wherein the larger the human body index value, the fatter the human body is. The unit of color temperature is Kelvin (K). The larger the color temperature value, the cooler the tone, which can make people less appetite, and the smaller the color temperature value, the warmer the tone, which can make people more appetite. In an exemplary embodiment, the body index is a BMI index, and the first preset list may be shown in Table 2. Among them, a is the warmest color temperature, for example, less than 3000K, b is greater than a, c is greater than b, d is greater than c, e is greater than d, and e is the coldest color temperature, greater than 5000K. Among them, the color temperature between a and e may have a positive correlation with the BMI index, or a linear relationship. If the user's BMI index is lower than 18.5, the server 11 can determine the corresponding color temperature as the warmest color temperature a according to Table 2. If the user is in an environment where the color temperature of the ambient light is a, the user's appetite can be improved, and in the long run, the user's appetite can be improved. Weight, until the user's BMI index indicates that the user's fatness and thinness are normal.

In one embodiment, the server 11 may also receive human body information uploaded by different users, wherein the human body information includes a user identifier, and the human body information may be the above-mentioned information such as weight and height, or information such as weight and body fat content. The server 11 may calculate the corresponding human body index according to the human body information corresponding to the user identification. For example, the server 11 may calculate the human body index of the user based on the human body information of the same user according to the user identification. The server 11 may update the third preset list according to the user identifiers of all users and the corresponding body index. In this way, the light can be adjusted according to the updated human body index of the user, and then the light can be adjusted according to the changed health degree of the user.

In one embodiment, the server 11 sends the light control parameters to the smart light 12, so that the smart light 12 works according to the light control parameters, for example, the smart light 12 emits a color temperature corresponding to the human body index. Light. After receiving the lighting control parameters sent by the server 11, the smart light 12 controls the smart light to emit light with a color temperature corresponding to the human body index according to the lighting control parameters. In this way, the user is placed in the environment of the above color temperature, the user's appetite can be adjusted, and the user's weight can be adjusted, so that the user's body index develops in a normal direction, which is beneficial to the physical and mental health of the user, and improves the use value of the smart lamp and user experience. .

Table 2

color temperature BMI a below 18.5 b 18.5～23.9 c 24～27 d 28～32 e higher than 32

In an exemplary embodiment, the above-mentioned smart lights 12 may be LED lights. The LED lamp includes many LED lamp beads, which can be divided into R light beads emitting red light, G light beads emitting green light, and B light beads emitting blue light. The LED lamp can control the luminous proportion and luminous intensity of three different lamp beads according to the lighting control parameters, so that the synthesized color temperature is light with the color temperature in the lighting control parameters. Among them, the lighting control parameters may include the luminous proportions of the three different lamp beads and the luminous intensity of the three different lamp beads.

In this embodiment, the server may determine the lighting control parameters for controlling the smart lamp according to the human body index identifying the health degree of the human body, and send the above-mentioned lighting control parameters to the smart lamp to control the smart lamp to emit light. In this way, controlling the light of the smart light according to the human body index can adjust the ambient light of the environment where the user is eating, thereby adjusting the user's appetite, and finally achieving the purpose of adjusting the user's health, which is beneficial to the physical and mental health of the user, and improves the use value of the smart light and the user. experience.

4 to 5 are flowcharts of a method for adjusting lights performed by the server 11 according to another exemplary embodiment. On the basis of the embodiment shown in FIG. 1 , the above step S201 includes the following steps S401 to S403, and the above step S203 includes the following steps S501 to S502:

In step S401, a first light adjustment request sent by a smart light is received, where the first light adjustment request includes: a device identifier of the smart light.

In step S402, a second preset list is queried according to the device identification of the smart light to obtain the user identification, and the second preset list includes the correspondence between the device identification of the smart light and the user identification.

In step S403, a third preset list is queried according to the user identifier to obtain the human body index, and the third preset list includes the correspondence between the user identifier and the human body index.

In step S501, query a fourth preset list based on the device identifier of the smart lamp to obtain location information of the smart lamp, where the fourth preset list includes the correspondence between the device identifier of the smart lamp and the location information;

In step S502, when the location information of the smart light is a preset dining location, the light control parameter is sent to the smart light corresponding to the device identifier.

In this embodiment, the user can send the first light adjustment request to the server 11 through the smart light 12 . For example, after the user turns on the smart light 12 , the smart light 12 sends the first light adjustment request to the server 11 . Alternatively, the smart light 12 is provided with a trigger device for sending the first light adjustment request. When the triggering device is triggered, a first light adjustment request is sent. The first light adjustment request includes the device identifier of the smart light 12 . The device identification can uniquely identify the smart light. For example, the device identification can be a string of characters.

In this embodiment, after receiving the first light adjustment request sent by the smart light, the server 11 may query the second preset list according to the device ID of the smart light to obtain the user ID. The second preset list includes the correspondence between the device identifiers of the smart lights and the user identifiers, and the second preset list is pre-stored in the server 11. Specifically, the second preset list can be obtained according to the binding information sent by all users. The binding information Include the user ID and the device ID of the smart light. Specifically, the server 11 may store the user identifiers in all the received binding information and the device identifiers of the smart lights in a one-to-one correspondence to obtain the second preset list. For example, the second preset list may be as shown in Table 3. When the device identifier of the smart light in the first light adjustment request received by the server 11 is D0001, the corresponding user identifier can be obtained by looking up Table 3 as U0001.

table 3

Device identification for smart lights User ID D0001 U0001 D0002 U0002 D0003 U0003

In this embodiment, the server 11 may query a third preset list according to the user identifier to obtain the human body index. Wherein, a third preset list is pre-stored in the server 11, and the third preset list includes the corresponding relationship between the user identifier and the human body index. The server 11 may obtain the third preset list according to the human body information uploaded by the user-side device (including the detection device 13 and the end user 14 ) for determining the human body index. The human body information carries a user identification. For example, the third preset list may be as shown in Table 4. When the user ID received by the server 11 is U0001, it can be obtained by looking up Table 4 that the human body index is 30.

Table 4

User ID body index U0001 30 U0002 20 U0003 18

In this embodiment, the server 11 may query the fourth preset list based on the device identifier of the smart light to obtain the location information of the smart light. Wherein, a fourth preset list is pre-stored in the server 11 , and the fourth preset list includes the correspondence between the device identifiers of the smart lights and the location information. The location information may be the location in the user's home, such as a kitchen, a living room, a bedroom, and the like. The server 11 may determine the above-mentioned fourth preset list according to the binding information of the device identifier of the smart light and the location information sent by the user. For example, the fourth preset list may be as shown in Table 5 below. When the device identification of the smart light is D0001, the location information of the smart light D0001 can be obtained through lookup table 5 as kitchen.

table 5

Device identification for smart lights Location information of smart lights D0001 kitchen D0002 bedroom D0003 living room

In this embodiment, the server 11 may send the light control parameter to the smart light corresponding to the device identifier when the location information of the smart light is a preset dining position. The user may set the above-mentioned preset dining position through the terminal 14, for example, the kitchen may be set as the preset dining position. When the server 11 determines that the location information of the smart light 11 is the kitchen, it can compare it with the preset dining location, and when it is determined that the kitchen is the preset dining location, it can send the lighting control parameters to the device identifier corresponding to the smart lights.

In this embodiment, the color temperature of the light emitted by the smart lamp can be controlled according to the user's human body index at the position where the user is eating, so as to adjust the user's appetite in the dining environment, and finally achieve the purpose of adjusting the user's health. Moreover, adjusting the light is more effective. Targeted and intelligent.

FIG. 6 is a flow chart of a method for adjusting lights performed by the server 11 according to another exemplary embodiment. On the basis of the embodiments shown in FIGS. 1 and 4 to 5, the above step S502 further includes the following steps S601 to S602:

In step S601, the current time when the first light adjustment request is received is determined.

In step S602, it is determined that the current time is within a preset meal time range.

In this embodiment, the server 11 may also determine the time when the first light adjustment request is received as the current time. The server 11 determines whether the current time is within the meal time range preset by the user, and if it is determined that the current time is within the meal time range preset by the user, then enters step S502, after determining that the location information of the smart light is preset When the meal position is in the designated position, the light control parameters are sent to the smart light corresponding to the device identification.

In this embodiment, within the meal time range set by the user and at the meal location set by the user, the color temperature of the light emitted by the smart lamp can be controlled according to the user's body index, so as to adjust the user's appetite in the dining environment, and finally achieve adjustment The purpose of user health, and at the same time, to further improve the pertinence and intelligence of lighting adjustment.

FIG. 7A is a flow chart of a method for adjusting lights performed by the server 11 according to another exemplary embodiment. FIG. 7B is an application scenario diagram of a method for adjusting lights according to another exemplary embodiment. On the basis of the embodiment shown in FIG. 1 , the above-mentioned step S201 includes the following steps S701-S702:

In step S701, a second light adjustment request sent by a user terminal is received, where the second light adjustment request includes: a user ID and a device ID of the smart light.

In step S702, a fifth preset list is queried according to the user identifier to obtain the human body index, where the fifth preset list includes the correspondence between the user identifier and the human body index.

In this embodiment, the user can upload the human body index or the human body information required for determining the human body index through the user terminal 14 . Moreover, the user can send the above-mentioned second light adjustment request to the server 11 through the application program installed on the user terminal 14 . The second light adjustment request includes the user ID and the device ID of the smart light. The server 11 may query the fifth preset list according to the user identifier to obtain the corresponding human body index. The manner of obtaining the human body index in this embodiment is similar to step S403, and details are not repeated here.

In this embodiment, in the above step S203, the server 11 may send the light control parameters to the corresponding smart light according to the device identification of the smart light.

In this embodiment, the user can directly send a light adjustment request for the selected smart light through the user terminal, and the server adjusts the light of the smart light selected by the user in response to the light adjustment request, which improves the accuracy of light adjustment. sex.

FIG. 8 is a flowchart of a method for adjusting lights performed by the server 11 according to another exemplary embodiment. On the basis of the embodiments shown in FIGS. 1 and 7A , the above-mentioned step S203 further includes the following steps S801 to S802:

In step S801, the current time at which the second light adjustment request is received is determined.

In step S802, it is determined that the current time is within a preset meal time range.

Steps S801 to S802 in this embodiment are similar to steps S601 to S602 shown in FIG. 6 , and are not repeated here.

In this embodiment, even if the user directly sends a light adjustment request for the selected smart lamp through the user terminal, the server will not send the request to the user until the current time for receiving the light adjustment request is within the preset meal time range. The light of the selected smart lamp is adjusted, which further improves the pertinence and intelligence of the light adjustment.

FIG. 9 is a flow chart of a method for adjusting lights performed by the server 11 according to another exemplary embodiment. On the basis of the embodiment shown in FIG. 1, the above-mentioned step S203 further includes the following steps S901-S902:

In step S901, the user's exercise amount uploaded by the wearable device is received.

In step S902, the color temperature belonging to the lighting control parameter is adjusted according to the user's movement amount to obtain an adjusted color temperature.

In this embodiment, the user may also set the wearable device to communicate and connect the wearable device to the server 11 . The wearable device can upload the user's exercise amount to the server 11 . The server 11 may adjust the color temperature in the lighting control parameters according to the user's exercise amount after receiving the user's exercise amount uploaded by the wearable device, so as to obtain the adjusted color temperature. For example, the greater the user's exercise amount, the greater the energy consumed by the user, and the server 11 may appropriately adjust the color temperature on the basis of the color temperature obtained according to the human body index to obtain the adjusted lighting control parameters. For another example, when the user's exercise amount is greater than the preset exercise amount, even if the color temperature obtained by the server 11 according to the human body index is a cool color temperature, the server 11 can adjust the color temperature to a warm color temperature to promote appetite and ensure nutritional supply.

In this embodiment, the server 11 may send the adjusted color temperature to the smart light 12 to control the smart light 12 to emit light. In this way, after determining the color temperature according to the human body index, and then adjusting the color temperature according to the amount of exercise of the user, the adjustment of the color temperature of the light can be more reasonable, and further, the user's appetite can be reasonably adjusted, and finally the purpose of reasonable weight control can be achieved.

FIG. 10 is a flow chart of a method for adjusting lights performed by the server 11 according to another exemplary embodiment. On the basis of the embodiments shown in FIGS. 1 and 9 , the above-mentioned step S902 may include the following steps S1001 to S1002:

In step S1001, a sixth preset list is queried according to the user's exercise amount to obtain a color temperature adjustment amount, and the sixth preset list includes a corresponding relationship between the user exercise amount and the color temperature adjustment amount.

In step S1002, the adjusted color temperature is obtained according to the color temperature and the color temperature adjustment amount.

In this embodiment, a sixth preset list is pre-stored in the server 11 , and the sixth preset list includes the corresponding relationship between the user's exercise amount and the color temperature adjustment amount. In an exemplary embodiment, the sixth preset list may be as shown in Table 6. When the user's movement amount is 1000 steps, the corresponding color temperature adjustment amount is -500K.

In this embodiment, the server may query the sixth preset list according to the user's exercise amount to obtain the color temperature adjustment amount. For example, when the user's exercise amount is 1000 steps, the server 11 can query Table 6 to obtain the corresponding color temperature adjustment amount of -500K.

In this embodiment, the server 11 may obtain the adjusted color temperature according to the color temperature determined based on the human body index and the color temperature adjustment amount. For example, when the color temperature determined based on the human body index is 4500K, the user's movement amount is 1000 steps, the server 11 queries the table 6 to obtain the corresponding color temperature adjustment amount of -500K, and the server 11 reduces the color temperature of 4500K by 500K, and the adjusted color temperature is 4000K.

Of course, when the user's exercise amount is greater than the preset exercise amount, for example, the user's exercise amount is 10,000 steps, even if the color temperature obtained by the server 11 according to the human body index is a cool color temperature, such as 5000K, the server 11 can also be adjusted to a warm color temperature of 3000K to promote appetite, Ensure nutritional supplements.

So far, in the method for adjusting lights provided by the embodiments of the present disclosure, the server can determine the lighting control parameters for controlling the smart lights according to the human body index that identifies the health of the human body, and send the aforementioned lighting control parameters to the smart lights to control the smart lights to emit light. In this way, controlling the light of the smart light according to the human body index can adjust the ambient light of the environment where the user is eating, thereby adjusting the user's appetite, and finally achieving the purpose of adjusting the user's health, which is beneficial to the physical and mental health of the user, and improves the use value of the smart light and the user. experience.

Table 6

User's amount of exercise (steps) Color temperature adjustment amount 1000 -500K 5000 -1000K 8000 -2000K

Embodiments of the present disclosure also provide a device for adjusting lighting, the device comprising:

processor;

memory for storing processor-executable instructions;

Wherein, the processor is configured to execute the method executed by the above-mentioned server 11 .

Embodiments of the present disclosure also provide a device for adjusting lighting, the device comprising:

processor;

memory for storing processor-executable instructions;

Wherein, the processor is configured to perform the method performed by the smart light 12 described above.

Regarding the apparatus in the above-mentioned embodiment, the specific manner in which the processor performs the operation has been described in detail in the embodiment of the method, and will not be described in detail here.

Fig. 11 is a block diagram of an apparatus for adjusting light according to an exemplary embodiment. For example, the apparatus 1100 may be provided as a server. 11, apparatus 1100 includes a processing component 1122, which further includes one or more processors, and a memory resource, represented by memory 1132, for storing instructions executable by processing component 1122, such as an application program. An application program stored in memory 1132 may include one or more modules, each corresponding to a set of instructions. Additionally, the processing component 1122 is configured to execute instructions to perform the above-described methods for controlling and adjusting lights.

The device 1100 may also include a power component 1126 configured to perform power management of the device 1100, a wired or wireless network interface 1150 configured to connect the device 1100 to a network, and an input output (I/O) interface 1158. Device 1100 may operate based on an operating system stored in memory 1132, such as Windows Server™, MacOS X™, Unix™, Linux™, FreeBSD™ or the like.

In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions, such as a memory 1132 including instructions, executable by the processing component 1122 of the apparatus 1100 to accomplish the method described above is also provided. For example, the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.

Other embodiments of the present disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or techniques in the technical field not disclosed by the present disclosure . The specification and examples are to be regarded as exemplary only, with the true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the present disclosure is not limited to the precise structures described above and illustrated in the accompanying drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (14)

1. A method for adjusting lighting, wherein the method comprises: Determine the human body index that identifies the degree of human health; the human body index is the body fat percentage or the BMI index that indicates the degree of human body fatness and thinness; According to the human body index, determine the lighting control parameters; sending the lighting control parameters to the smart lights, so that the smart lights work according to the lighting control parameters; Before sending the light control parameters to the smart light, the method further includes: Receive the user's exercise amount uploaded by the wearable device; Adjusting the color temperature belonging to the lighting control parameter according to the user's movement amount to obtain the adjusted color temperature; The sending of the light control parameters to the smart light includes: Send the adjusted color temperature to the smart light. 2. The method according to claim 1, wherein the determining of the lighting control parameters according to the human body index comprises: The first preset list is inquired according to the human body index, and the color temperature belonging to the control parameter is obtained; the first preset list includes the corresponding relationship between the human body index and the color temperature. 3. The method according to claim 1, wherein the determining the human body index for identifying the degree of human health comprises: Receive a first light adjustment request sent by the smart light, where the first light adjustment request includes: the device identifier of the smart light; Query a second preset list according to the device identification of the smart light to obtain the user identification, where the second preset list includes the correspondence between the device identification of the smart light and the user identification; A third preset list is queried according to the user identifier to obtain the human body index, where the third preset list includes the correspondence between the user identifier and the human body index. 4. The method according to claim 3, wherein the sending the lighting control parameters to the smart lamp comprises: Query a fourth preset list based on the device identifier of the smart light to obtain the location information of the smart light, where the fourth preset list includes the correspondence between the device identifier of the smart light and the location information; When the location information of the smart light is a preset dining position, the light control parameter is sent to the smart light corresponding to the device identifier. 5. The method according to claim 3, wherein the method further comprises: Receive human body information uploaded by different users; the human body information includes user identification; Calculate the corresponding human body index according to the human body information corresponding to the user identification; The third preset list is updated according to the user identification and the corresponding body index. 6. The method according to claim 4, wherein before sending the lighting control parameters to the smart lights corresponding to the device identifiers, the method further comprises: determining the current time when the first light adjustment request is received; It is determined that the current time is within a preset meal time range. 7. The method according to claim 1, wherein the determining a human body index that identifies the degree of human health comprises: Receive a second light adjustment request sent by the user terminal, where the second light adjustment request includes: a user ID and a device ID of the smart light; Query a fifth preset list according to the user identifier to obtain the human body index, where the fifth preset list includes the correspondence between the user identifier and the human body index; The sending of the light control parameters to the smart light includes: The light control parameters are sent to the corresponding smart light according to the device identification of the smart light. 8 . The method according to claim 7 , wherein before sending the light control parameters to the corresponding smart light according to the device identification of the smart light, the method further comprises: 8 . determining the current time when the second light adjustment request is received; It is determined that the current time is within a preset meal time range. 9. The method according to claim 1, wherein the adjusting the color temperature belonging to the lighting control parameter according to the user's movement amount to obtain the adjusted color temperature, comprising: Query a sixth preset list according to the user's exercise amount to obtain a color temperature adjustment amount, where the sixth preset list includes a corresponding relationship between the user's exercise amount and the color temperature adjustment amount; According to the color temperature and the color temperature adjustment amount, the adjusted color temperature is obtained. 10. A method of adjusting lighting, wherein the method comprises: Receive lighting control parameters; the lighting control parameters include the adjusted color temperature, the lighting control parameters are determined by the server according to the human body index that identifies the degree of human health, and the adjusted color temperature is adjusted by the server according to the amount of exercise of the user belonging to the The color temperature of the lighting control parameter is obtained; the body index is the body fat percentage or the BMI index indicating the degree of body fat and thin; The smart light is controlled to work according to the light control parameters. 11. A device for adjusting lighting, characterized in that the device comprises: processor; memory for storing processor-executable instructions; wherein the processor is configured to perform the method of any one of claims 1 to 9. 12. A device for adjusting lighting, characterized in that the device comprises: processor; memory for storing processor-executable instructions; wherein the processor is configured to perform the method of claim 10 . 13. A computer-readable storage medium on which a computer program is stored, characterized in that, when the computer program is executed by a processor, the method according to any one of claims 1 to 9 is implemented. 14. A computer-readable storage medium on which a computer program is stored, wherein the computer program implements the method of claim 10 when executed by a processor.

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