TW202008183A - Air quality system analysed by image - Google Patents

Abstract

An air quality system analysed by image, which includes an image interception unit and an image control unit, the image interception unit is used for image interception of the environment area to obtain background images as the background, the color image of the image control unit and the background image performs modulation transfer function (MTF) to obtain the air quality concentration, compared with the prior art, such a system will not reduce the detection value due to the influence of visibility in the current environment for image capture, so as to avoid unnecessary error due to weather factors, and improve the detection efficiency, thus providing the user with right or ideal air quality concentration.

Description

Analysis of air quality system using images

The invention relates to the technical field of analyzing the concentration value of suspended particulates and gas concentration, and particularly refers to an air quality analysis system using images.

Air is one of the basic elements of human life, and the quality of air seriously affects human health, such as: O ₃ , PM ₁ , PM _2.5 , PM ₁₀ and other air pollutants. The traditional air quality monitoring values all depend on the air quality monitoring station set up by the Environmental Protection Agency. The equipment is more sophisticated and the maintenance is more complicated. Sometimes the data is invalid due to mechanical and human factors and cannot be used. The air quality monitoring station They are all single-point fixed-position sampling, and the spatial distribution of the pollution is not representative enough. In order to solve the above problems, the market has launched a series of air quality monitoring systems. Among them, the invention patent of the mainland application number 201410200873 "PM _2.5 concentration detector based on the evaluation of the definition of no reference image" proposes a detection device and method for judging the PM _2.5 concentration using an image. Technical solution: Obtain the blur probability of the image by measuring multiple targets, and then compare it with the cumulative blur probability of the image where the visibility is clear to determine the final target. The laser ranging unit measures the distance of the final target. PM _2.5 concentration display unit The PM _2.5 concentration is calculated from the relationship between visibility and PM _2.5 .

However, when capturing images under foggy weather conditions, the light reflected from the surface of the target is easily affected by suspended particles in the air, or smog, etc., which leads to a decrease in image contrast and visibility. At the same time, the surrounding environment of the target The light will also be scattered by the suspended particles in the air. The scattered light will cause the image color to drift when it enters the imaging device. The overall image becomes blurred. The details in the image are unclear and the color is off-white. Furthermore, the above-mentioned invention requires multiple targets and a laser range finder, which not only has a high detection cost but also a relatively complicated test procedure.

Therefore, how to solve the above-mentioned problems and deficiencies is the direction in which the creator of the present invention and the relevant practitioners engaged in this industry are eager to study and improve.

The object of the present invention is to provide an air quality analysis system using images, which is mainly restricted by external factors such as clouds, fog, haze, and suspended particles during image shooting, and reduces the error value during detection, To provide excellent air quality analysis data.

To achieve the above object, the present invention is an air quality analysis system using images, which is suitable for detecting an environmental area. The air quality analysis system using images includes:

An image capturing unit for capturing data of the environment area to obtain a background image; and

An image control unit, information connected to the image capture unit, and has a database module, and an arithmetic module, the database module has a pair of color images corresponding to the background image, the color image by RGB Formed by numerical values, the calculation module is connected to the database module for receiving the background image to capture the color image, and performing MTF calculation on the background image and the color image to obtain the environmental region An air quality concentration value.

Preferably, the air quality concentration value is a suspended particle concentration value, or a gas concentration value.

Preferably, when the air quality concentration value is the suspended particle concentration value, the suspended particle concentration value is PM1, PM2.5, or PM10.

Preferably, when the air quality concentration value is a gas concentration value, the gas concentration value is carbon monoxide (CO), carbon dioxide (CO ₂ ), hydrogen (H ₂ ), nitrogen monoxide (NO), nitrogen dioxide ( NO ₂ ), methane (CH ₄ ), sulfur dioxide (SO ₂ ), or nitrogen oxides (NOx).

Preferably, wherein the color image is a black and white stripe image, the calculation module receives the background image to capture the black and white stripe image for MTF calculation.

Preferably, the color image is black, white, red, orange, yellow, green, blue, purple, brown, or brown.

Preferably, the distance from the image capturing unit to the environment area is more than 50 meters.

Preferably, the air quality analysis system using images is used for a vehicle, the vehicle includes a projection display unit connected to the image control unit, and the image capturing unit is installed in the vehicle to capture the environment in front Regional data, and display the air quality concentration value through the projection display unit.

Preferably, the image control unit further includes a storage module connected to the calculation module for storing the air quality concentration value.

Preferably, the system for analyzing air quality using images is to achieve signal transmission wirelessly via Wi-Fi, Bluetooth, RF, ZigBee, 4G, 5G, or LoRa.

In this way, the present invention provides an air quality analysis system using images, which is mainly composed of an image capture unit and an image control unit, through which the image capture unit performs image capture on the environment area to obtain background images As a background, the color image of the image control unit and the background image are subjected to a modulation transfer function (MTF) operation to obtain the air quality concentration value. Compared with the prior art, the present invention does not perform image capture due to the current environment Reduce the detection value due to the influence of visibility, etc., to avoid unnecessary error values due to weather factors, and improve the detection efficiency, thereby providing users with accurate or ideal air quality concentration values.

The foregoing and other technical contents, features and effects of the present invention will be clearly presented in the following detailed description of the preferred embodiments with reference to the drawings.

Please refer to FIGS. 1 to 9, an embodiment of the present invention provides an air quality analysis system using images, which is suitable for detecting an environmental region 10. The air quality analysis system using images mainly includes an image capturing unit 20 and an image. The control unit 30 is composed of, and it can be known from the figure that the environmental area 10 takes a block as an example, but it is not limited to this. The air quality analysis system using images is through Wi-Fi, Bluetooth, RF, ZigBee, 4G , 5G, or LoRa wireless signal transmission, including:

The image capturing unit 20 is used to capture the data of the environmental region 10 to obtain a background image 21; in this embodiment, the image capturing unit 20 includes an image capturing lens 22 through which the image is captured The lens 22 performs an image capturing operation on the environmental region 10, wherein the image capturing unit 20 can be connected to an electronic device, such as a smart phone, tablet computer, notebook computer, etc., but not as Restriction, through the above-mentioned design of connecting the electronic device, it is provided that the user can capture images of the environmental area 10 at any time to provide real-time air quality information; further, the distance from the image capturing unit 20 to the environmental area 10 is 50 Meters above.

The image control unit 30, the information connection to the image capture unit 20, and has a database module 31, and an arithmetic module 32, the database module 31 has a pair of color images 311 corresponding to the background image 21 , The color image 311 is formed by the values of the three primary colors of RGB (red, green, and blue), and the arithmetic module 32 is connected to the database module 31 to receive the background image 21 to capture the color image 311 , And perform a modulation transfer function (MTF) operation on the background image 21 and the color image 311 to obtain an air quality density value of the environmental region 10; further, the color image 311 is black, white, red, Orange, yellow, green, blue, purple, brown, or brown; further, the air quality concentration value is the suspended particle concentration value, or gas concentration value, and when the air quality concentration value is the suspended particle concentration value, the suspended particle The concentration value is PM1, PM2.5, or PM10. When the air quality concentration value is the gas concentration value, the gas concentration value is carbon monoxide (CO), carbon dioxide (CO ₂ ), hydrogen (H ₂ ), and nitric oxide ( NO), nitrogen dioxide (NO ₂ ), methane (CH ₄ ), sulfur dioxide (SO ₂ ), or nitrogen oxides (NOx). Among them, the modulation transfer function (MTF) is an evaluation method for testing the contrast and sharpness of the lens, and can correct the air quality concentration value to ensure its accuracy and fairness.

Please refer to FIG. 2 again, the image control unit 30 further includes a storage module 33 connected to the arithmetic module 32 for storing the air quality concentration value, wherein the storage module 33 can store The amount of data for a long period of time is needed for long-term big data analysis in the future; with the aid of the storage module 33, the function of conventional knowledge without storage can be improved, and historical records can be queried without missing problems. In accordance with the data recorded every month or every week, regular meetings are held to review and improve the effect of ambient air quality.

Please refer to FIG. 2 and FIG. 4, the color image 311 is a black-and-white stripe image, and the operation module 32 receives the background image 21 to capture the black-and-white stripe image and perform modulation conversion function (MTF) operation , The denser and denser the stripes, the lower the black-and-white contrast, which in turn causes the MTF value to fall. The background image 21 becomes lighter and weaker from left to right, indicating that the air quality concentration of the background image 21 is also caused by severe pollution. The color image 311 is in a fixed state from the misty condition to the lightly contaminated condition. Through the above settings, the background image 311 is used as the background and the color image 311 is compared to obtain an excellent The concentration value of the air quality makes the invention less susceptible to the influence of atmospheric conditions, such as clouding, fog, haze shadowing and illumination, etc., which can avoid detection errors and perform rapid measurement.

Please refer to FIG. 5, the color image 311 is white, R: 255, G: 255, B: 255, wherein the background image 21 is getting paler from left to right, indicating that the background image 21 The air quality concentration is also from a heavily polluted fog to a lightly polluted condition. The color image 311 is in a fixed state, and the background image 21 is used as a background to perform a comparison operation with the color image 311 to Obtain excellent air quality concentration values.

Please refer to FIG. 6, the color image 311 is black, R:0, G:0, B:0, wherein the background image 21 becomes lighter from left to right, indicating that the background image 21 The air quality concentration is also from a heavily polluted fog to a lightly polluted condition. The color image 311 is in a fixed state, and the background image 21 is used as a background to perform a comparison operation with the color image 311 to Obtain excellent air quality concentration values.

Please refer to FIG. 7, the color image 311 is blue or one of blue, R: 97, G: 137, B: 136, wherein the background image 21 becomes lighter from left to right, It means that the air quality concentration of the background image 21 is also from a heavily polluted fog to a lightly polluted condition. The color image 311 is in a fixed state, with the background image 21 as the background and the color image 311 performs a comparison operation to obtain an excellent air quality concentration value.

Please refer to FIG. 2, FIG. 8 and FIG. 9, the air quality analysis system using images of the present invention is applied to a vehicle 40, the vehicle 40 includes a projection display unit 41 connected to the image control unit 20 by the information, the image is captured The unit 20 is installed in the vehicle 40, the image capturing lens 22 is used to capture the data of the environment area 10 in front, and the air quality concentration value is displayed through the projection display unit 20; through the above configuration, it is installed in the The image capturing unit 20 in the vehicle 40 continuously intercepts the data of the environment area 10 in front and the geographic location of the vehicle 40 to integrate with each other. When driving, the user can know the current air quality status in real time, greatly improving the warning Function to increase the safety of the people when they are outdoors and provide a comfortable living environment, to avoid air quality pollutants causing harm to the human body.

The above is the configuration description of each main component of the embodiment of the present invention. The effect of the present invention will be described below.

In this way, the present invention provides an air quality analysis system using images, which is mainly composed of the image capturing unit 20 and the image control unit 30, and uses the image capturing unit 20 to capture images of the environmental region 10, The background image 21 is obtained as a background, and the color image 311 of the image control unit 30 and the background image 21 are subjected to a modulation transfer function (MTF) operation to obtain an air quality concentration value, compared with the prior art The present invention will not reduce the detection value due to the visibility of the current environment when capturing images, avoid unnecessary error values due to weather factors, and improve detection efficiency, thereby providing users with accurate or ideal air quality concentration value.

In summary, the above-mentioned embodiments and drawings are only preferred embodiments of the present invention, and should not be used to limit the scope of implementation of the present invention. Any changes and modifications made in accordance with the scope of the patent application of the present invention shall belong to This invention covers the patent.

﹝this invention﹞ 10‧‧‧Environmental zone 20‧‧‧Image capture unit 21‧‧‧ background image 22‧‧‧Image capture lens 20‧‧‧Image control unit 31‧‧‧Database module 311‧‧‧ color image 32‧‧‧ arithmetic module 33‧‧‧storage module 40‧‧‧Vehicle 41‧‧‧Projection display unit

FIG. 1 is a perspective view of an embodiment of the present invention. 2 is a block diagram of an embodiment of the present invention. FIG. 3A is a relationship diagram (1) of a background image and a color image according to an embodiment of the present invention. 3B is a relationship diagram (2) of a background image and a color image according to an embodiment of the present invention. FIG. 4 is a schematic diagram (1) of a background image and a color image according to an embodiment of the present invention, showing that the color image is black and white stripes. 5 is a schematic diagram (2) of background images and color images according to an embodiment of the present invention. 6 is a schematic diagram (3) of a background image and a color image according to an embodiment of the present invention. 7 is a schematic diagram (4) of background images and color images according to an embodiment of the present invention. FIG. 8 is a diagram of a state of use of a vehicle according to an embodiment of the present invention. 9 is a partially enlarged view of an embodiment of the present invention, showing a projection display unit.

10‧‧‧Environmental zone

20‧‧‧Image capture unit

22‧‧‧Image capture lens

30‧‧‧Image control unit

Claims (10)

An air quality analysis system using images is suitable for detecting an environmental area. The air quality analysis system using images includes: an image capturing unit for capturing data of the environmental area to obtain a background image; and an image Control unit, information connected to the image capture unit, and has a database module, and an arithmetic module, the database module has a pair of color images corresponding to the background image, the color image is determined by RGB values Is formed, the computing module is connected to the database module for receiving the background image to capture the color image, and performing a modulation transfer function (MTF) operation on the background image and the color image to obtain An air quality concentration value in the environment area. The air quality analysis system using image according to claim 1, wherein the air quality concentration value is a suspended particle concentration value, or a gas concentration value. The air quality analysis system according to claim 2, wherein when the air quality concentration value is the suspended particle concentration value, the suspended particle concentration value is PM1, PM2.5, or PM10. The air quality analysis system using images as described in claim 2, wherein when the air quality concentration value is a gas concentration value, the gas concentration value is carbon monoxide (CO), carbon dioxide (CO ₂ ), hydrogen (H ₂ ), a Nitrogen oxide (NO), nitrogen dioxide (NO ₂ ), methane (CH ₄ ), sulfur dioxide (SO ₂ ), or nitrogen oxides (NOx). The air quality system using image analysis as described in claim 1, wherein the color image is a black-and-white stripe image, and the arithmetic module receives the background image to capture the black-and-white stripe image for a modulation conversion function (MTF ) Operation. The air quality system using image analysis as described in claim 1, wherein the color image is black, white, red, orange, yellow, green, blue, purple, brown, or brown. The air quality analysis system using images as described in claim 1, wherein the distance from the image capturing unit to the environment area is more than 50 meters. The air quality analysis system using images as described in claim 1, wherein the air quality analysis system using images is used in a vehicle including a projection display unit with information connected to the image control unit, and the image capturing unit is installed in In the vehicle, the data of the environment area in front is captured, and the air quality concentration value is displayed through the projection display unit. The air quality analysis system using images as described in claim 1, wherein the image control unit further includes a storage module connected to the calculation module for storing the air quality concentration value. The air quality analysis system using images as described in claim 1, wherein the air quality analysis system using images analyzes wireless signal transmission via Wi-Fi, Bluetooth, RF, ZigBee, 4G, 5G, or LoRa.

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