Monitoring Method for Ambient Light Components, Smart Wearable Device, and Monitoring System

Abstract

The present disclosure provides a method for monitoring the components of ambient light, including: collecting ambient light; converting the collected ambient light from the time domain space to the frequency domain space to obtain the frequency information of the ambient light; determining whether the frequency information of the ambient light is within a preset frequency range and generating a determination result; and giving an early warning based on the determination result, including: sending out a warning message when the frequency information of the ambient light is not within the preset frequency range. The present disclosure also provides an intelligent wearable device and a monitoring system.

Description

Technical Field

[0001] The present disclosure relates to the technical fields of intelligent wearable devices and ambient light monitoring technologies. In particular, the present disclosure relates to a method for monitoring ambient light components, an intelligent wearable device, and a monitoring system. Background Art

[0002] With the society's pursuit of the concept of green and sustainable development, energy conservation in lighting is increasingly accepted by all walks of life. To achieve the goal of lighting energy conservation, most lamps will adopt the PWM method to adjust the effective on-time of the light source. PWM dimming has certain requirements for the power driver. In the case of improper design or excessive pursuit of low cost, it may bring the problem of stroboscopic. Stroboscopic can cause people in the surrounding environment to have visual fatigue and even lead to other mental problems. Therefore, it is very necessary to detect the lighting quality of the surrounding environment in a timely manner and give a warning.

[0003] At the same time, from the perspective of human health, appropriate exposure to sunlight is very beneficial to the human body, but excessive sunlight exposure should also be avoided. Generally speaking, there are obvious differences in the ultraviolet intensity indoors and outdoors. At the same time, there are also obvious differences in the outdoor ambient light intensity and ultraviolet intensity at different times of the day.

[0004] Therefore, the prior art has the following defects. First, to detect stroboscopic, only professional equipment can be used, and it is difficult for ordinary users to have the conditions to do so. Existing ultraviolet light measurement equipment generally can only output intensity values and cannot intelligently identify indoor, outdoor, etc. Second, special equipment is generally very expensive, not easy to carry, and cannot automatically measure and give warnings to users. The detection functions of existing equipment are also very single, and cannot detect stroboscopic and ultraviolet rays at the same time, nor can they give effective injury warnings to users and statistical data for a healthy life accordingly. Summary of the Invention

[0005] In order to solve at least one of the above technical problems, the present disclosure provides a method for monitoring ambient light components, an intelligent wearable device, and a monitoring system.

[0006] According to one aspect of the present disclosure, there is provided a method for monitoring ambient light components, including:

[0007] Collect ambient light;

[0008] Convert the collected ambient light from the time domain space to the frequency domain space to obtain the frequency information of the ambient light;

[0009] Judge whether the frequency information of the ambient light is within a preset frequency range, and generate a judgment result;

[0010] Give an alarm based on the judgment result, including: when the frequency information of the ambient light is not within the preset frequency range, send an alarm message.

[0011] According to the method for monitoring the ambient light component of at least one embodiment of the present disclosure, the ambient light is converted from the time domain space to the frequency domain space based on the Fourier transform method.

[0012] The method for monitoring the ambient light component of at least one embodiment of the present disclosure further includes:

[0013] Obtain the current position where the ambient light is collected, and the current position includes the horizontal position and / or the altitude.

[0014] The method for monitoring the ambient light component of at least one embodiment of the present disclosure further includes:

[0015] Based on the horizontal position and / or altitude of the current position, obtain the surrounding environment type of the current position;

[0016] Wherein, the surrounding environment type includes indoor or outdoor.

[0017] According to the method for monitoring the ambient light component of at least one embodiment of the present disclosure, based on the horizontal position and / or altitude of the current position, obtaining the surrounding environment type of the current position includes:

[0018] By comparing the horizontal position and / or altitude of the current position with the geographic information database to determine whether the current position is indoor or outdoor;

[0019] Wherein, the geographic information database is preset, and the geographic information database stores the position information, altitude information and height information of multiple different buildings.

[0020] According to the method for monitoring the ambient light component of at least one embodiment of the present disclosure, by comparing the horizontal position and / or altitude of the current position with the geographic information database to determine whether the current position is indoor or outdoor, includes:

[0021] If the horizontal position and altitude of the current position match the position information and altitude range of the building in any one of the stored information in the geographic information database, it is determined that the current position is associated with the building and the surrounding environment type of the current position is indoor; otherwise, it is determined that the current position is not associated with the building and the surrounding environment type of the current position is outdoor;

[0022] Wherein, the altitude range of the building is calculated from the altitude information and the height information of the building.

[0023] A method for monitoring the environmental light component according to at least one embodiment of the present disclosure, wherein the geographical information database is stored in a smart wearable device or in a remote / cloud server;

[0024] Wherein, when the geographical information database is stored in a remote / cloud server, the smart wearable device establishes a communication connection with the remote / cloud server to obtain the surrounding environment type of the current location.

[0025] According to another aspect of the present disclosure, there is provided a smart wearable device, comprising:

[0026] A photosensitive device for collecting ambient light;

[0027] A time-frequency conversion module for converting the ambient light collected by the photosensitive device from the time domain space to the frequency domain space to obtain the frequency information of the ambient light;

[0028] An analysis and judgment module for judging whether the frequency information of the ambient light is within a preset frequency range;

[0029] An early warning module for receiving the judgment result of the analysis and judgment module, and generating and sending an early warning message when the frequency information of the ambient light is not within the preset frequency range.

[0030] For the smart wearable device according to at least one embodiment of the present disclosure, the time-frequency conversion module converts the ambient light from the time domain space to the frequency domain space based on the Fourier transform method.

[0031] For the smart wearable device according to at least one embodiment of the present disclosure, it further comprises:

[0032] A position acquisition module for acquiring the current position of the smart wearable device, where the current position includes the horizontal position and / or altitude;

[0033] Wherein, the position acquisition module includes a hardware positioning device and / or a software positioning device.

[0034] For the smart wearable device according to at least one embodiment of the present disclosure, it further comprises:

[0035] An environment query module for obtaining the surrounding environment type of the current position based on the horizontal position and / or altitude of the current position;

[0036] Wherein, the surrounding environment type includes indoor or outdoor.

[0037] An intelligent wearable device according to at least one embodiment of the present disclosure obtains the surrounding environment type of the current location based on the horizontal position and / or altitude of the current location, including:

[0038] By comparing the horizontal position and / or altitude of the current location with a geographic information database, it is determined whether the current location is indoor or outdoor;

[0039] Among them, the geographic information database is preset, and the geographic information database stores the location information, altitude information, and height information of multiple different buildings.

[0040] An intelligent wearable device according to at least one embodiment of the present disclosure determines whether the current location is indoor or outdoor by comparing the horizontal position and / or altitude of the current location with the geographic information database, including:

[0041] If the horizontal position and altitude of the current location match the location information and altitude range of the building in any one of the stored information in the geographic information database, it is determined that the current location is associated with the building and the surrounding environment type of the current location is indoor; otherwise, it is determined that the current location is not associated with the building and the surrounding environment type of the current location is outdoor;

[0042] Among them, the altitude range of the building is obtained by calculating the altitude information and the height information of the building.

[0043] An intelligent wearable device according to at least one embodiment of the present disclosure, the geographic information database is stored in the intelligent wearable device or stored in a remote / cloud server;

[0044] Among them, when the geographic information database is stored in a remote / cloud server, the intelligent wearable device obtains the surrounding environment type of the current location by establishing a communication connection with the remote / cloud server.

[0045] According to another aspect of the present disclosure, a monitoring system for environmental light components is provided, including:

[0046] An intelligent wearable device according to any one of the embodiments of the present disclosure, the intelligent wearable device is used to collect the ambient light at the current location of the wearer of the intelligent wearable device, convert the collected ambient light from the time domain space to the frequency domain space, and obtain the frequency information of the ambient light;

[0047] An analysis system, the analysis system receives the frequency information of the ambient light and the current location of the wearer sent by the intelligent wearable device, and obtains an environmental light component analysis result based on the frequency information of the ambient light and the current location of the wearer; and

[0048] A light data model that receives the analysis result of the environmental light components, and obtains the health index of the wearer's current location based on the relationship data between the environmental light components and the health index pre-stored in the light data model, and sends it to the analysis system, and the analysis system sends the health index of the wearer's current location to the intelligent wearable device.

[0049] According to the monitoring system of at least one embodiment of the present disclosure, the intelligent wearable device displays the received health index and / or generates a warning message based on the received health index.

[0050] According to the monitoring system of at least one embodiment of the present disclosure, the analysis system is set in a remote / cloud server, and the intelligent wearable device can communicate with the analysis system.

[0051] According to the monitoring system of at least one embodiment of the present disclosure, the light data model is established by the following method:

[0052] The intelligent wearable device collects environmental light in different environments at a predetermined time interval, and converts the environmental light from the time domain space to the frequency domain space to obtain the frequency information of the environmental light;

[0053] Obtain the intensity data and ultraviolet index data of the environmental light from the collected frequency information of the environmental light; and

[0054] Generate a health index based on the intensity data and ultraviolet index data of the environmental light to establish the relationship data between the frequency information and the health index.

[0055] According to the monitoring system of at least one embodiment of the present disclosure, the different environments include indoor and / or outdoor in different geographical ranges, the different geographical areas are determined by different longitude and latitude, and the predetermined time interval includes a predetermined time interval within the cycle of the whole year / whole quarter / whole day. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The drawings illustrate exemplary embodiments of the present disclosure and, together with the description thereof, are used to explain the principles of the present disclosure. These drawings are included to provide a further understanding of the present disclosure and are included in this specification and form a part of this specification.

[0057] Figure 1 It is a flowchart of the monitoring method of the environmental light components according to an embodiment of the present disclosure.

[0058] Figure 2 It shows a schematic block diagram of the structure of the monitoring system of the environmental light components according to an embodiment of the present disclosure.

[0059] Figure 3It is a schematic flowchart of a method for obtaining the current surrounding environment type based on the acquired horizontal position and / or altitude according to an embodiment of the present disclosure.

[0060] Figure 4 It is a schematic flowchart of a method for establishing an optical data model according to an embodiment of the present disclosure.

[0061] Figure 5 It is a schematic block diagram of the structure of an intelligent wearable device according to an embodiment of the present disclosure.

[0062] Description of the reference numerals

[0063] 1000 Intelligent wearable device

[0064] 1002 Time-frequency conversion module

[0065] 1004 Analysis and judgment module

[0066] 1006 Early warning module

[0067] 1008 Position acquisition module

[0068] 1010 Environment query module

[0069] 1100 Bus

[0070] 1200 Processor

[0071] 1300 Memory

[0072] 1400 Circuit

[0073] 1500 Photosensitive device

[0074] 2000 Analysis system

[0075] 3000 Optical data model. Detailed implementation manners

[0076] The present disclosure will be further described in detail below in conjunction with the drawings and embodiments. It can be understood that the specific implementation manners described herein are only used to explain the relevant content and do not limit the present disclosure. Additionally, it should be noted that for the convenience of description, only the parts related to the present disclosure are shown in the drawings.

[0077] It should be noted that, without conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other. The technical solutions of the present disclosure will be described in detail below with reference to the drawings and embodiments.

[0078] Unless otherwise specified, the illustrated exemplary embodiments will be understood to provide exemplary features of various details of some ways in which the technical conceptions of the present disclosure can be implemented in practice. Thus, unless otherwise specified, the features of the various embodiments can be combined, separated, interchanged, and / or rearranged additionally without departing from the technical conceptions of the present disclosure.

[0079] In the drawings, the use of cross-hatching and / or shading is generally used to clarify the boundaries between adjacent components. Thus, unless stated, the presence or absence of cross-hatching or shading does not convey or imply any preference or requirement regarding the specific materials, material properties, dimensions, proportions, commonality between the components shown, and / or any other characteristics, attributes, properties, etc. of the components. Additionally, in the drawings, for clarity and / or descriptive purposes, the dimensions and relative dimensions of components may be exaggerated. When the exemplary embodiments can be implemented differently, the specific process sequences can be performed in an order different from that described. For example, two consecutively described processes can be performed substantially simultaneously or in an order opposite to that described. Further, the same reference numerals denote the same components.

[0080] When a component is referred to as being "on" or "above" another component, "connected to" or "coupled to" another component, the component can be directly on the other component, directly connected to or directly coupled to the other component, or there can be intermediate components. However, when a component is referred to as being "directly on" another component, "directly connected to" or "directly coupled to" another component, there are no intermediate components. For this reason, the term "connected" can refer to physical connection, electrical connection, etc., and can have or not have intermediate components.

[0081] The terms used herein are for the purpose of describing particular embodiments and are not intended to be limiting. As used herein, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are also intended to include the plural forms. Additionally, when the terms "comprise" and / or "include" and their variants are used in this specification, it is stated that there are the stated features, integers, steps, operations, components, assemblies, and / or groups thereof, but does not preclude the presence or addition of one or more other features, integers, steps, operations, components, assemblies, and / or groups thereof. It should also be noted that, as used herein, the terms "substantially", "about", and other similar terms are used as approximate terms and not as terms of degree, and thus are used to explain the inherent deviations of measured, calculated, and / or provided values that would be recognized by a person of ordinary skill in the art.

[0082] Figure 1 is a schematic flow diagram of a method for monitoring the ambient light component of an embodiment of the present disclosure. Refer to Figure 1, the monitoring method S100 of the present embodiment includes:

[0083] S102, collect ambient light;

[0084] S104, convert the collected ambient light from the time domain space to the frequency domain space to obtain the frequency information of the ambient light;

[0085] S106, determine whether the frequency information of the ambient light is within a preset frequency range and generate a judgment result;

[0086] S108, issue a warning based on the judgment result, including: when the frequency information of the ambient light is not within the preset frequency range, issue a warning message.

[0087] According to the monitoring method of the ambient light component of the preferred embodiment of the present disclosure, the ambient light is converted from the time domain space to the frequency domain space based on the Fourier transform method.

[0088] Those skilled in the art can adopt other conversion methods to realize the conversion of the optical signal from the time domain space to the frequency domain space under the inspiration of the technical solution of the present disclosure, which all fall within the protection scope of the present disclosure.

[0089] The ambient light of the present disclosure can be collected through the optical signal collection module of the smart wearable device, such as the optical signal collection module of a smart phone, a smart watch, a smart bracelet, etc.

[0090] The smart wearable device described in the present disclosure can be a smart watch, a smart bracelet, a smart phone, etc. The optical signal collection module can adopt an optical signal sensor.

[0091] In some embodiments of the present disclosure, the monitoring method S100 of the ambient light component further includes:

[0092] Obtain the current position of the collected ambient light, and the current position includes the horizontal position and / or the altitude.

[0093] The present disclosure can collect the position information through the hardware position information collection module of the smart wearable device in cooperation with the software positioning module, etc. The hardware position information collection module can be a gyroscope module, etc.

[0094] According to the preferred embodiment of the present disclosure, the monitoring method S100 of the ambient light component further includes:

[0095] Based on the horizontal position and / or altitude of the current position, obtain the surrounding environment type of the current position;

[0096] Among them, the surrounding environment type includes indoor or outdoor.

[0097] Among them, the above steps can be realized by executing a computer software program.

[0098] In some embodiments of the present disclosure, based on the horizontal position and / or altitude of the current location, the surrounding environment type of the current location is obtained, including:

[0099] By comparing the horizontal position and / or altitude of the current location with a geographic information database to determine whether the current location is indoor or outdoor;

[0100] Among them, the geographic information database is preset, and the geographic information database stores the location information, altitude information, and height information of multiple different buildings.

[0101] Preferably, by comparing the horizontal position and / or altitude of the current location with a geographic information database to determine whether the current location is indoor or outdoor, including:

[0102] If the horizontal position and altitude of the current location match the location information and altitude range of a building in any stored information of the geographic information database, it is determined that the current location is associated with the building and the surrounding environment type of the current location is indoor; otherwise, it is determined that the current location is not associated with the building and the surrounding environment type of the current location is outdoor;

[0103] Among them, the altitude range of the building is obtained by calculating the altitude information and height information of the building.

[0104] The geographic information database described above in the present disclosure can be stored in a smart wearable device and / or stored in a remote / cloud server;

[0105] Among them, when the geographic information database is stored in a remote / cloud server, the smart wearable device obtains the surrounding environment type of the current location by establishing a communication connection with the remote / cloud server.

[0106] Figure 5 It is a structural schematic block diagram of a smart wearable device according to an embodiment of the present disclosure.

[0107] Refer to Figure 5 , the smart wearable device 1000 of the present disclosure includes:

[0108] A photosensitive device 1500, and the photosensitive device 1500 is used to collect ambient light;

[0109] A time-frequency conversion module 1002, and the time-frequency conversion module 1002 is used to convert the ambient light collected by the photosensitive device 1500 from the time domain space to the frequency domain space to obtain the frequency information of the ambient light;

[0110] An analysis and judgment module 1004, and the analysis and judgment module 1004 judges whether the frequency information of the ambient light is within a preset frequency range;

[0111] The warning module 1006 receives the judgment result of the analysis and judgment module 1004, and generates and issues a warning message when the frequency information of the ambient light is not within the preset frequency range.

[0112] In some embodiments of the present disclosure, the photosensitive device 1500 may be an optical signal sensor.

[0113] According to a preferred embodiment of the present disclosure, the time-frequency conversion module 1002 converts the ambient light signal from the time domain space to the frequency domain space based on the Fourier transform algorithm.

[0114] In some embodiments of the present disclosure, the warning information generated by the warning module 1006 includes one or more of sound information, light information, and vibration information. Those skilled in the art can select or adjust the type of warning information under the inspiration of the technical solution of the present disclosure, which all fall within the protection scope of the present disclosure.

[0115] In some embodiments of the present disclosure, when the frequency information of the ambient light is not within the preset frequency range, a warning message is issued.

[0116] In some embodiments of the present disclosure, the warning information can be prompted to the user by means of the motor vibration, interface pop-up, etc. of the smart wearable device 1000.

[0117] The smart wearable device 1000 provided by the present disclosure has the following technical advantages: The ambient light obtained by the photosensitive device 1500 is subjected to time-frequency conversion based on the Fourier transform algorithm to obtain the frequency information of the ambient light, which can effectively detect whether there are "stroboscopic" components and / or ultraviolet components in the ambient light that are unsuitable for the human visual system.

[0118] Since the smart wearable device 1000 is easy to carry, it can realize real-time and multi-scene ambient light monitoring without professional equipment and professional detection personnel.

[0119] According to a preferred embodiment of the present disclosure, refer to Figure 5 , the smart wearable device 1000 of the present disclosure further includes:

[0120] A position acquisition module 1008, and the position acquisition module 1008 is used to acquire the current position of the smart wearable device 1000, and the current position includes a horizontal position and / or an altitude;

[0121] Among them, the position acquisition module 1008 includes a hardware positioning device and / or a software positioning device.

[0122] Figure 5 What is shown in is the position acquisition module 1008 in the form of software.

[0123] For the intelligent wearable device 1000 of each of the above embodiments, preferably, it further includes:

[0124] An environment query module 1010, which obtains the surrounding environment type of the current location based on the horizontal position and / or altitude of the current location;

[0125] Among them, the surrounding environment type includes indoor or outdoor.

[0126] In some embodiments of the present disclosure, obtaining the surrounding environment type of the current location based on the horizontal position and / or altitude of the current location includes:

[0127] By comparing the horizontal position and / or altitude of the current location with the geographic information database, it is determined whether the current location is indoor or outdoor;

[0128] Among them, the geographic information database described in the present disclosure is set in advance, and the geographic information database stores the location information, altitude information, and height information of multiple different buildings.

[0129] According to a preferred embodiment of the present disclosure, by comparing the horizontal position and / or altitude of the current location with the geographic information database to determine whether the current location is indoor or outdoor, it includes:

[0130] If the horizontal position and altitude of the current location match the location information and altitude range of the building in any one of the stored information in the geographic information database, it is determined that the current location is associated with the building and the surrounding environment type of the current location is indoor; otherwise, it is determined that the current location is not associated with the building and the surrounding environment type of the current location is outdoor;

[0131] Among them, the altitude range of the building is calculated from the altitude information and height information of the building.

[0132] Figure 3 It is a flowchart of a method for obtaining the surrounding environment type of the current location based on the horizontal position and / or altitude obtained by an intelligent wearable device according to an embodiment of the present disclosure.

[0133] Reference Figure 3 , by comparing the horizontal position and / or altitude of the current location with the geographic information database to determine whether the current location is indoor or outdoor, includes the following steps.

[0134] In step S302, read the location information, altitude information, and height information of a building from the geographic information database. The geographic information database stores the location information, altitude information, and height information of multiple buildings. Among them, the location information may include the central position coordinates and the range where the building plane is located.

[0135] In step S304, calculate the elevation range of the building based on the elevation information and height information of the building. For example, if the elevation of the building is 300 meters and the height of the building is 100 meters, the elevation range of the building is from 200 meters to 300 meters.

[0136] In step S306, determine whether the horizontal position of the current location is within the horizontal position range of the building, and determine whether the elevation of the current location is within the elevation range of the building.

[0137] In step S308, if in the above step S306, both of the above conditions are satisfied, that is, the horizontal position of the current location is within the horizontal position range of the building, and the elevation of the current location is within the elevation range of the building, then determine that the surrounding environment type of the current location is indoor.

[0138] In step S310, if in the above step S306, only one of the above conditions is satisfied, or neither of the above conditions is satisfied, then determine whether the currently read data is the last piece of data in the geographic information database.

[0139] In step S312, if in the above step S310, it is determined that the currently read data is the last piece of data in the geographic information database, then determine that the surrounding environment type of the current location is outdoor. Otherwise, go to step S302, continue to read the location information, elevation information, and height information of the building, and repeat the steps of S302 to S312 above until the data in the geographic information database is read completely.

[0140] It can be seen from this embodiment that if the horizontal position and elevation of the current location are within the location information and elevation range of the building in any piece of stored information in the geographic information database, it is determined that the current location is associated with the building and the surrounding environment type of the current location is indoor. Otherwise, it is determined that the current location is not associated with the building and the surrounding environment type of the current location is outdoor.

[0141] Among them, the elevation range of the building is obtained by calculating the elevation and height of the building. The geographic information database is stored in the smart wearable device or the remote / cloud server; among them, when the geographic information database is stored through the server, the smart wearable device establishes a communication connection with the server to obtain the surrounding environment type of the current location.

[0142] In some embodiments of the present disclosure, preferably, when reading the building data from the geographic information database, it is also possible to filter through the location information and elevation information of the building, limit the location information of the building to be compared within a predetermined range, so as to reduce the comparison time and improve the comparison efficiency.

[0143] For example, if the longitude and latitude of the current location obtained by the smart wearable device are 35.7 and 26.4, the range of the building location to be compared can be restricted to the range of longitude and latitude of 35 - 40 and 26 - 27 respectively through data filtering to narrow the search space.

[0144] In addition, when determining whether the surrounding environment type of the current location is indoor or outdoor, it is also possible to detect the ambient light intensity and ultraviolet intensity at a specific time point to identify whether the environment where the user is located is indoor or outdoor.

[0145] Figure 2 It is a schematic block diagram of the structure of the monitoring system according to an embodiment of the present disclosure.

[0146] Reference Figure 2 , the monitoring system of this embodiment includes:

[0147] The smart wearable device 1000 according to any embodiment of the present disclosure, the smart wearable device 1000 is used to collect the ambient light of the current location of the wearer of the smart wearable device 1000, convert the collected ambient light from the time domain space to the frequency domain space, and obtain the frequency information of the ambient light;

[0148] The analysis system 2000, the analysis system 2000 receives the frequency information of the ambient light and the current location of the wearer sent by the smart wearable device 1000, and obtains the ambient light component analysis result based on the frequency information of the ambient light and the current location of the wearer;

[0149] The light data model 3000, the light data model 3000 receives the ambient light component analysis result, and obtains the health index of the current location of the wearer based on the relationship data between the ambient light component and the health index pre - stored in the light data model 3000 and sends it to the analysis system 2000, and the analysis system 2000 sends the health index of the current location of the wearer to the smart wearable device 1000.

[0150] In some embodiments of the present disclosure, the smart wearable device 1000 displays the received health index and / or generates a warning message based on the received health index.

[0151] Reference Figure 2 , in some embodiments of the present disclosure, both the analysis system 2000 and the light data model 3000 are set in a remote / cloud server, and the smart wearable device 1000 can communicate with the analysis system 2000.

[0152] Figure 4 It is a schematic flow chart of the method S200 for establishing the light data model according to a preferred embodiment of the present disclosure.

[0153] Reference Figure 4, the method S200 for establishing the optical data module of this embodiment includes:

[0154] S202. The smart wearable device collects ambient light in different environments at a predetermined time interval, and converts the ambient light from the time domain space to the frequency domain space to obtain the frequency information of the ambient light;

[0155] S204. Obtain the intensity data and ultraviolet index data of the ambient light from the collected frequency information of the ambient light;

[0156] S206. Generate a health index based on the intensity data and ultraviolet index data of the ambient light to establish the relationship data between the frequency information and the health index.

[0157] In some embodiments of the present disclosure, the different environments described above include indoor and / or outdoor in different geographical ranges, and different geographical areas are determined by different longitudes and latitudes. The predetermined time interval includes a predetermined time interval within the cycle of the whole year / whole quarter / whole day.

[0158] It should be noted that Figure 5 The figure shows a schematic block diagram of the structure of a wearable device implemented by the hardware of the processing system.

[0159] The smart wearable device 1000 of the present disclosure may include corresponding modules that execute each or several steps in the above flowchart. Therefore, each step or several steps in the above flowchart can be executed by the corresponding modules, and the device may include one or more of these modules. The module may be one or more hardware modules specifically configured to execute the corresponding steps, or implemented by a processor configured to execute the corresponding steps, or stored in a computer-readable medium for implementation by the processor, or implemented through a certain combination.

[0160] This hardware structure can be implemented using a bus architecture. The bus architecture may include any number of interconnected buses and bridges, depending on the specific application of the hardware and the overall design constraints. The bus 1100 connects various circuits including one or more processors 1200, a memory 1300, and / or hardware modules together. The bus 1100 can also connect various other circuits 1400 such as peripherals, voltage regulators, power management circuits, external antennas, etc.

[0161] The bus 1100 can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of simplicity, only one connection line is used to represent it in this figure, but it does not mean that there is only one bus or one type of bus.

[0162] Any process or method description represented in the flowchart or described in other ways herein can be understood as representing a module, segment, or portion of code including one or more executable instructions for implementing a specific logical function or process. The scope of the preferred embodiments of the present disclosure includes additional implementations, in which the functions can be executed in a substantially simultaneous manner or in the reverse order according to the involved functions, rather than in the order shown or discussed. This should be understood by those skilled in the technical field to which the embodiments of the present disclosure pertain. The processor executes the various methods and processes described above. For example, the method embodiments in the present disclosure can be implemented as a software program tangibly embodied in a machine-readable medium, such as a memory. In some embodiments, part or all of the software program can be loaded and / or installed via the memory and / or the communication interface. When the software program is loaded into the memory and executed by the processor, one or more steps of the methods described above can be executed. Alternatively, in other embodiments, the processor can be configured to execute one of the above methods by any other suitable means (e.g., by means of firmware).

[0163] The logic and / or steps represented in the flowchart or described in other ways herein can be embodied in any readable storage medium for use by or in connection with an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device).

[0164] For the purposes of this specification, a "readable storage medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the readable storage medium include the following: an electrical connection (electronic device) having one or more wirings, a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber device, and a portable read-only memory (CDROM). Additionally, the readable storage medium can even be paper or other suitable media on which a program can be printed, as the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or otherwise processing it as appropriate, and then storing it in a memory.

[0165] It should be understood that various parts of the present disclosure can be implemented by hardware, software, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0166] Those of ordinary skill in the art of the present technology can understand that all or part of the steps of implementing the above embodiments of the method can be completed by a program instructing relevant hardware, and the program can be stored in a readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0167] Furthermore, in each of the various embodiments of the present disclosure, the functional units can be integrated into one processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a readable storage medium. The storage medium can be a read-only memory, a disk, an optical disc, etc.

[0168] In the description of this specification, the description with reference to terms such as "one embodiment / way", "some embodiments / ways", "example", "specific example", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment / way or example are included in at least one embodiment / way or example of this application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment / way or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments / ways or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments / ways or examples described in this specification and the features of different embodiments / ways or examples.

[0169] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of this application, the meaning of "a plurality" is at least two, such as two, three, etc., unless otherwise specifically defined.

[0170] Those skilled in the art should understand that the above embodiments are only for clearly explaining the present disclosure and are not intended to limit the scope of the present disclosure. For those skilled in the art, other changes or modifications can be made based on the above disclosure, and these changes or modifications are still within the scope of the present disclosure.

Claims

1. A method for monitoring the components of ambient light, characterized in that, Including: Collecting ambient light through a photosensitive device of an intelligent wearable device; Converting the collected ambient light from the time domain space to the frequency domain space to obtain the frequency information of the ambient light; Judging whether the frequency information of the ambient light is within a preset frequency range and generating a judgment result; And Giving an early warning based on the judgment result, including: when the frequency information of the ambient light is not within the preset frequency range, sending out an early warning message; The monitoring method further includes: obtaining the current position where the ambient light is collected, the current position including a horizontal position and / or an altitude; based on the horizontal position and / or altitude of the current position, obtaining the surrounding environment type of the current position; the surrounding environment type includes indoor or outdoor; Wherein, the intelligent wearable device displays the received health index and / or generates an early warning message based on the received health index; The health index is received from an analysis system set on a server: the analysis system receives the frequency information of the ambient light and the current position of the wearer sent by the intelligent wearable device, obtains an ambient light component analysis result based on the frequency information of the ambient light and the current position of the wearer, the light data model set on the server receives the ambient light component analysis result, and obtains the health index of the current position of the wearer based on the relationship data between the ambient light components and the health index pre-stored in the light data model and sends it to the analysis system, and the analysis system sends the health index of the current position of the wearer to the intelligent wearable device.

2. The monitoring method of the ambient light component according to claim 1, characterized in that, Converting the ambient light from the time domain space to the frequency domain space based on the Fourier transform method.

3. The monitoring method of the ambient light component according to claim 1, characterized in that, Based on the horizontal position and / or altitude of the current position, obtaining the surrounding environment type of the current position, including: Comparing the horizontal position and / or altitude of the current position with a geographic information database to judge whether the current position is indoor or outdoor; Wherein, the geographic information database is preset, and the geographic information database stores the position information, altitude information and height information of multiple different buildings.

4. The monitoring method of the ambient light component according to claim 3, characterized in that, Comparing the horizontal position and / or altitude of the current position with the geographic information database to judge whether the current position is indoor or outdoor, including: If the horizontal position and altitude of the current position match the position information and altitude range of the building in any one of the stored information in the geographic information database, it is determined that the current position is associated with the building and the surrounding environment type of the current position is indoor, otherwise, it is determined that the current position is not associated with the building and the surrounding environment type of the current position is outdoor; Wherein, the altitude range of the building is calculated from the altitude information and the height information of the building.

5. The monitoring method of the environmental light component according to claim 4, characterized in that, The geographic information database is stored in the intelligent wearable device or stored in a remote / cloud server; Wherein, when the geographic information database is stored in a remote / cloud server, the intelligent wearable device obtains the surrounding environment type of the current position by establishing a communication connection with the remote / cloud server.

6. An intelligent wearable device, characterized in that, Including: A photosensitive device for collecting ambient light; A time-frequency conversion module for converting the ambient light collected by the photosensitive device from the time domain space to the frequency domain space to obtain the frequency information of the ambient light; An analysis and judgment module, which judges whether the frequency information of the ambient light is within a preset frequency range; An early warning module, which receives the judgment result of the analysis and judgment module, and generates and issues an early warning message when the frequency information of the ambient light is not within the preset frequency range; A position acquisition module, which is used to acquire the current position of the smart wearable device, and the current position includes a horizontal position and / or an altitude; An environment query module, which acquires the surrounding environment type of the current position based on the horizontal position and / or altitude of the current position, and the surrounding environment type includes indoor or outdoor; wherein, the smart wearable device displays the received health index and / or generates an early warning message based on the received health index; The health index is received from an analysis system set on the server: the analysis system receives the frequency information of the ambient light and the current position of the wearer sent by the smart wearable device, obtains the analysis result of the ambient light component based on the frequency information of the ambient light and the current position of the wearer, and the light data model set on the server receives the analysis result of the ambient light component, and obtains the health index of the current position of the wearer based on the relationship data between the ambient light component and the health index pre-stored in the light data model and sends it to the analysis system, and the analysis system sends the health index of the current position of the wearer to the smart wearable device.

7. The smart wearable device according to claim 6, wherein The time-frequency conversion module converts the ambient light from the time domain space to the frequency domain space based on the Fourier transform method.

8. A monitoring system for environmental light components, characterized in that, Including: The smart wearable device according to claim 6 or 7, which is used to collect the ambient light of the current position of the wearer of the smart wearable device, convert the collected ambient light from the time domain space to the frequency domain space, and obtain the frequency information of the ambient light; An analysis system, which receives the frequency information of the ambient light and the current position of the wearer sent by the smart wearable device, and obtains the analysis result of the ambient light component based on the frequency information of the ambient light and the current position of the wearer; And A light data model, which receives the analysis result of the ambient light component, and obtains the health index of the current position of the wearer based on the relationship data between the ambient light component and the health index pre-stored in the light data model and sends it to the analysis system, and the analysis system sends the health index of the current position of the wearer to the smart wearable device.

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