CN108592954A - Air quality detection method and device and intelligent wearable equipment - Google Patents

Abstract

The invention is suitable for the technical field of intelligent wearing and provides an air quality detection method, an air quality detection device and intelligent wearing equipment, wherein the air quality detection method comprises the steps of detecting air quality data of the current environment of the intelligent wearing equipment, determining whether the current air quality is qualified or not according to the detected air quality data, and prompting if the current air quality is unqualified. The invention utilizes the portable wearable equipment to detect the air quality, can effectively improve the detection efficiency of the air quality, and has stronger usability and practicability.

Description

A method, device, and smart wearable device for air quality detection

technical field

The present invention relates to the field of smart wear technology, in particular to a method and device for air quality detection, a smart wear device and a computer-readable storage medium.

Background technique

With the improvement of living standards, people's requirements for air quality are getting higher and higher. People hope to know the outdoor air quality in real time, and use it to arrange their own travel, exercise and other activities.

However, most of the existing air quality detection equipment on the market, although integrating many sensors, can detect harmful substances in the air, but due to its large size, it is not easy to carry, and the operation is cumbersome, which affects the efficiency of detection .

Therefore it is necessary to propose a new technical solution to solve the above technical problems.

Contents of the invention

In view of this, the embodiments of the present invention provide an air quality detection method, device, and smart wearable device, which can use a portable wearable device to detect air quality and improve the detection efficiency of air quality.

The first aspect of the embodiments of the present invention provides a method for air quality detection, which is applied to smart wearable devices, and the method includes:

Detect air quality data of the environment where the smart wearable device is currently located;

Determine whether the current air quality is qualified according to the detected air quality data;

If the current air quality is unqualified, a prompt will be given.

The second aspect of the embodiment of the present invention provides an air quality detection device, which is applied to smart wearable devices, and the device includes:

A detection module, configured to detect the air quality data of the environment where the smart wearable device is currently located;

A judging module, configured to determine whether the current air quality is qualified according to the detected air quality data;

The prompting module is used for prompting if the current air quality is unqualified.

The third aspect of the embodiment of the present invention provides a smart wearable device, including a memory, a processor, and a computer program stored on the memory and operable on the processor, and the above-mentioned first aspect is realized when the above-mentioned processor executes the above-mentioned computer program mentioned method.

A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method mentioned in the above-mentioned first aspect is implemented.

Compared with the prior art, the embodiment of the present invention has the following beneficial effects: in this embodiment, the air quality data of the environment where the smart wearable device is currently located is detected, and the current air quality is determined according to the detected air quality data. Whether the air quality is up to standard, if the current air quality is not up to standard, a prompt will be given. The embodiment of the present invention can detect the current air quality in real time through the portable smart wearable device, thereby improving the detection efficiency of the air quality, and having strong usability and practicability.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings that need to be used in the descriptions of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only of the present invention. For some embodiments, those of ordinary skill in the art can also obtain other drawings based on these drawings without paying creative efforts.

Fig. 1 is a schematic flow chart of the method for air quality detection provided by Embodiment 1 of the present invention;

Fig. 2 is a schematic flow chart of the method for air quality detection provided by Embodiment 2 of the present invention;

3 is a schematic structural diagram of an air quality detection device provided in Embodiment 3 of the present invention;

FIG. 4 is a schematic structural diagram of a smart wearable device provided by Embodiment 4 of the present invention.

Detailed ways

In the following description, specific details such as specific system structures and technologies are presented for illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and/or components, but does not exclude one or more other features. , whole, step, operation, element, component and/or the presence or addition of a collection thereof.

It should also be understood that the terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the present invention. As used in this specification and the appended claims, the singular forms "a", "an" and "the" are intended to include plural referents unless the context clearly dictates otherwise.

It should also be further understood that the term "and/or" used in the description of the present invention and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations .

As used in this specification and the appended claims, the term "if" may be construed as "when" or "once" or "in response to determining" or "in response to detecting" depending on the context . Similarly, the phrases "if determined" or "if [the described condition or event is detected]" may be construed, depending on the context, to mean "once determined" or "in response to the determination" or "once detected [the described condition or event] ]” or “in response to detection of [described condition or event]”.

In a specific implementation, the mobile terminals described in the embodiments of the present invention include but are not limited to other portable devices such as mobile phones, laptop computers or tablet computers with touch-sensitive surfaces (for example, touch screen displays and/or touch pads) . It should also be appreciated that in some embodiments, the device is not a portable communication device, but a desktop computer with a touch-sensitive surface (eg, a touchscreen display and/or a touchpad).

In the ensuing discussion, a mobile terminal including a display and a touch-sensitive surface is described. However, it should be understood that a mobile terminal may include one or more other physical user interface devices such as a physical keyboard, mouse and/or joystick.

The mobile terminal supports various applications such as one or more of the following: drawing application, presentation application, word processing application, website creation application, disk burning application, spreadsheet application, game application, telephone applications, video conferencing applications, email applications, instant messaging applications, exercise support applications, photo management applications, digital camera applications, digital video camera applications, web browsing applications, digital music player applications and/or digital video player applications.

Various applications that can be executed on the mobile terminal can use at least one common physical user interface device, such as a touch-sensitive surface. One or more functions of the touch-sensitive surface and corresponding information displayed on the terminal may be adjusted and/or changed between applications and/or within the respective applications. In this way, the common physical architecture (eg, touch-sensitive surface) of the terminal can support various applications with a user interface that is intuitive and transparent to the user.

It should be understood that the sequence numbers of the steps in this embodiment do not mean the order of execution, and the execution order of each process should be determined by its functions and internal logic, and should not constitute any limitation to the implementation process of the embodiment of the present invention.

In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

Embodiment one

Fig. 1 is a schematic flow chart of the method for air quality detection provided by Embodiment 1 of the present invention, the method may include the following steps:

S101: Detect air quality data of the environment where the smart wearable device is currently located.

In one embodiment, the smart wearable device includes a smart watch, and the air quality detection method is used to detect outdoor air quality conditions.

In one embodiment, when the air quality data is the concentration data of fine particulate matter (PM2.5 concentration) with a diameter less than or equal to 2.5 microns, the air quality data can be detected by a single sensor set on the smart wearable device. The air quality data of the environment where the smart wearable device is currently located, wherein the sensors include laser sensors and infrared sensors.

In one embodiment, more data can be combined to determine the outdoor air quality, for example: related information such as meteorological data, which can include the weather forecast value of the location in the next 24 hours, such as wind force, wind direction, rainfall, temperature , air pressure, humidity, etc.

S102: Determine whether the current air quality is qualified according to the detected air quality data.

Optionally, the outdoor air quality index is obtained according to the concentration of outdoor PM2.5, and the air quality index is compared with a predetermined air quality index, and whether the current air quality is qualified is determined according to the comparison result. Since the meteorological department or other service organizations will monitor the outdoor air quality in various regions, the predetermined air quality index provided by the meteorological department or other service organizations can be obtained through the Internet.

S103: Prompt if the current air quality is unqualified.

In one embodiment, if the current air quality is unqualified, the user where the smart wearable device is located is prompted that the current air quality is unqualified. For example: when the detected PM2.5 concentration is 100μg/m3, it is determined that the current air quality is unqualified, and the currently detected air quality is poor through voice loop playback, and children, the elderly and the heart Patients with respiratory diseases and respiratory diseases should reduce long-term, high-intensity outdoor exercise. Optionally, the current air quality level is displayed while the voice announcement is being made, so as to give prompts and warnings more intuitively.

Take a specific application scenario as an example. A child is playing outdoors with his friends. The smart watch worn by the child can detect the air quality of the child’s current environment in real time. When the environmental quality is unqualified, timely voice prompts Children should not stay in the polluted environment for a long time, and send unqualified air quality data to the mobile phone of the parents in the room synchronously. After processing the data, the mobile phone will also promptly remind the parents in the room of the current air quality of your child. failed.

In the embodiment of the present invention, making full use of the portability and accurate analysis function of smart wearable devices to efficiently detect changes in air quality data in real time, which is conducive to improving the detection efficiency of air quality; Tips, so that the user of the smart wearable device can timely protect against poor air quality; in addition, the detection results are synchronized to the mobile terminal bound to the smart wearable device in time, which can realize remote monitoring and has a strong Ease of use and practicality.

Embodiment two

Fig. 2 is a schematic flow chart of the method for air quality detection provided by Embodiment 2 of the present invention, the method may include the following steps:

S201: Detect the light intensity value of the environment where the smart wearable device is currently located, and if the light intensity value is higher than a preset threshold, detect the air quality data of the environment where the smart wearable device is currently located.

Since the user may be blocked by the sleeve during the process of using the smart watch to detect the air quality, in order to further improve the detection efficiency, in the embodiment of the present invention, it is automatically selected whether to enable the detection of the air quality sensor according to the intensity of the ambient light. , so as to avoid obtaining meaningless detection data; in addition, it can also greatly reduce the power consumption of smart watches.

Optionally, when equipped with a noise sensor, the environment in which the smart wearable device is located can be judged more accurately in combination with light intensity and noise intensity, so that the air quality sensor is only turned on when it is meaningful to detect.

S202: Judging whether the detected air quality data is within a predetermined air quality data interval, and determining whether the current air quality is qualified according to the judgment result.

For example, as shown in the table below, the air pollution index is divided into six levels [0,50], [51,100], [101,150], [151,200], [201,300] and [301,500] according to national regulations, corresponding to the air quality of six levels. Among them, the air quality index (Air Quality Index, referred to as AQI) is a dimensionless data that quantitatively describes the air quality status, and the larger the index, the higher the level, the more serious the pollution, and the more obvious the impact on human health. When the air quality data is the concentration of PM2.5, if the corresponding PM2.5 concentration interval [76,115] when the air quality index is in the range [101,150] is used as the preset air quality data interval, then in the detection When the detected PM2.5 concentration is within the interval [76, 115], it is determined that the current air quality is unqualified.

S203: If the detected air quality data is within a predetermined air quality data interval, determine the air quality grade corresponding to the current air quality data according to the correspondence between the air quality data interval and the air quality grade.

In one embodiment, if the detected PM2.5 concentration is 100 μg/m3, since this value is just within the preset air quality data interval [76, 115], it can be determined according to the above table that the air quality data corresponds to The air quality level is light pollution.

S204: Send the unqualified air quality data to a mobile terminal bound to the smart wearable device, so as to instruct the mobile terminal to perform a corresponding prompt operation according to the air quality data.

Wherein, the corresponding prompting operation includes prompting the user that the current air quality is unqualified and the level of unqualified. The mobile terminal bound to the smart wearable device refers to the mobile terminal associated with the smart wearable device used by outdoor users. There may be one or more mobile terminals. When there are multiple mobile terminals, The unqualified air quality data can be obtained through forwarding by the server. The mobile terminal includes a tablet computer, a smart phone, etc., and the mobile terminal can be connected to the smart wearable device through a communication protocol such as Wi-Fi.

It can be seen from the above that, compared with Embodiment 1, the embodiment of the present invention automatically selects whether to enable the detection of the air quality sensor according to the ambient light intensity, thereby further improving the detection efficiency; in addition, it provides a method for determining whether the current air quality is qualified. The specific implementation method has strong ease of use and practicability.

Embodiment three

FIG. 3 is a schematic structural diagram of an air quality detection device provided by Embodiment 3 of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown.

The air quality detection device may be a software unit, a hardware unit or a combination of hardware and software built into the smart wearable device, or it may be integrated into the smart wearable device as an independent pendant.

The device for air quality detection includes:

A detection module 31, configured to detect the air quality data of the environment where the smart wearable device is currently located;

A judging module 32, configured to determine whether the current air quality is qualified according to the detected air quality data;

Prompt module 33, used for prompting if the current air quality is unqualified.

In one embodiment, the detection module 31 is specifically used for:

Detecting the light intensity value of the environment where the smart wearable device is currently located;

If the light intensity value is higher than the preset threshold, the air quality data of the environment where the smart wearable device is currently located is detected.

In one embodiment, the judging module 32 is specifically used for:

Judging whether the detected air quality data is within a predetermined air quality data interval, and determining whether the current air quality is qualified according to the judgment result.

In one embodiment, the judging module 32 is further configured to:

If the detected air quality data is within the predetermined air quality data interval, the air quality grade corresponding to the current air quality data is determined according to the correspondence between the air quality data interval and the air quality grade.

In one embodiment, the prompt module 33 is specifically used for:

If the current air quality is unqualified, it will prompt the user where the smart wearable device is located that the current air quality is unqualified, and voice broadcast or display the current air quality level.

In one embodiment, the device also includes:

A sending module, configured to send the unqualified air quality data to a mobile terminal bound to the smart wearable device, so as to instruct the mobile terminal to perform a corresponding prompt operation according to the air quality data, wherein the The corresponding prompt operation includes prompting the user that the current air quality is unqualified and the level of the unqualified.

Embodiment four

FIG. 4 is a schematic structural diagram of a smart wearable device provided by Embodiment 4 of the present invention. As shown in FIG. 4 , the smart wearable device 4 of this embodiment includes: a processor 40 , a memory 41 and a computer program 42 stored in the memory 41 and operable on the processor 40 . When the processor 40 executes the computer program 42, the steps in the first method embodiment above are implemented, for example, steps S101 to S103 shown in FIG. 1 . Alternatively, implement the steps in the second method embodiment above, such as steps S201 to S204 shown in FIG. 2 . When the processor 40 executes the computer program 42, it realizes the functions of the modules/units in the above-mentioned device embodiments, for example, the functions of the modules 31 to 33 shown in FIG. 3 .

Exemplarily, the computer program 42 can be divided into one or more modules/units, and the one or more modules/units are stored in the memory 41 and executed by the processor 40 to complete this invention. The one or more modules/units may be a series of computer program instruction segments capable of accomplishing specific functions, and the instruction segments are used to describe the execution process of the computer program 42 in the smart wearable device 4 . For example, the computer program 42 can be divided into a detection module, a judgment module, a module, and a prompt module, and the specific functions of each module are as follows:

A detection module, configured to detect the air quality data of the environment where the smart wearable device is currently located;

A judging module, configured to determine whether the current air quality is qualified according to the detected air quality data;

The prompting module is used for prompting if the current air quality is unqualified.

The smart wearable device may include, but not limited to, a processor 40 and a memory 41 . Those skilled in the art can understand that FIG. 4 is only an example of the smart wearable device 4, and does not constitute a limitation to the smart wearable device 4. It may include more or less components than those shown in the illustration, or combine certain components, or be different. For example, the smart wearable device may also include input and output devices, network access devices, buses, and the like.

The processor 40 may be a central processing unit (Central Processing Unit, CPU), and may also be other general-purpose processors, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), Off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.

The memory 41 may be an internal storage unit of the smart wearable device 4 , such as a hard disk or memory of the smart wearable device 4 . The memory 41 can also be an external storage device of the smart wearable device 4, such as a plug-in hard disk equipped on the smart wearable device 4, a smart memory card (Smart MediaCard, SMC), a secure digital (SecureDigital, SD) card, flash memory card (Flash Card), etc. Further, the memory 41 may also include both an internal storage unit of the smart wearable device 4 and an external storage device. The memory 41 is used to store the computer program and other programs and data required by the smart wearable device. The memory 41 can also be used to temporarily store data that has been output or will be output.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the above-mentioned embodiments, the descriptions of each embodiment have their own emphases, and for parts that are not detailed or recorded in a certain embodiment, refer to the relevant descriptions of other embodiments.

Those skilled in the art can appreciate that the modules, units and/or method steps of the embodiments described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present invention.

In the several embodiments provided in this application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention realizes all or part of the processes in the methods of the above embodiments, and can also be completed by instructing related hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer When the program is executed by the processor, the steps in the above-mentioned various method embodiments can be realized. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM, Read-Only Memory) , random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, computer-readable media Excludes electrical carrier signals and telecommunication signals.

As mentioned above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still understand the foregoing The technical solutions recorded in each embodiment are modified, or some of the technical features are replaced equivalently; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims (10)

1. a kind of method of Detection of Air Quality, which is characterized in that it is applied to intelligent wearable device, the method includes：

Detect the air quality data that the intelligent wearable device is presently in environment；

Determine whether current air quality is qualified according to the air quality data detected；

If current air quality is unqualified, prompted.

2. according to the method described in claim 1, it is characterized in that, the air quality data that the basis detects determines Whether current air quality is qualified, including：

The air quality data detected is judged whether in scheduled air quality data section, according to the result of judgement Determine whether current air quality is qualified.

3. according to the method described in claim 2, it is characterized in that, further including：

If the air quality data detected is in scheduled air quality data section, according to the air quality number According to the correspondence in section and air quality grade, the corresponding air quality grade of current air quality data is determined；

Correspondingly, if current air quality is unqualified, carrying out prompt includes：

If current air quality is unqualified, user's current air mass where prompting the intelligent wearable device is unqualified, And voice broadcast or the current air quality grade of display.

4. according to the method described in claim 1, it is characterized in that, after the current air quality is unqualified, also wrap It includes：

The underproof air quality data is sent to the mobile terminal bound with the intelligent wearable device, to indicate It states mobile terminal and corresponding prompt operation is executed according to the air quality data, wherein corresponding prompt, which operates, includes The air quality for prompting user current is unqualified and underproof grade.

5. according to the method described in claim 1, it is characterized in that, detecting the sky that the intelligent wearable device is presently in environment Makings amount data include：

Detect the light intensity value that the intelligent wearable device is presently in environment；

If the light intensity value is higher than preset threshold value, the air matter that the intelligent wearable device is presently in environment is detected Measure data.

6. a kind of device of Detection of Air Quality, which is characterized in that be applied to intelligent wearable device, described device includes：

Detection module is presently in the air quality data of environment for detecting the intelligent wearable device；

Judgment module, for determining whether current air quality is qualified according to the air quality data detected；

Reminding module is prompted if the air quality for current is unqualified.

7. device according to claim 6, which is characterized in that the judgment module is specifically used for：

The air quality data detected is judged whether in scheduled air quality data section, according to the result of judgement Determine whether current air quality is qualified.

8. device according to claim 6, which is characterized in that described device further includes：

Sending module, for the underproof air quality data to be sent to the movement bound with the intelligent wearable device Terminal, to indicate that the mobile terminal executes corresponding prompt operation according to the air quality data, wherein corresponding Prompt operation includes that the current air quality of prompt user is unqualified and underproof grade.

9. a kind of intelligent wearable device, including memory, processor and it is stored in the memory and can be in the processing The computer program run on device, which is characterized in that the processor realizes such as claim 1 when executing the computer program The step of to any one of 5 the method.

10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, feature to exist In when the computer program is executed by processor the step of realization any one of such as claim 1 to 5 the method.