Electronic cigarette smoke analysis and detection system

Abstract

The invention relates to an electronic cigarette smoke analysis and detection system comprising an intelligent analysis device used for identifying each pixel point in a multi-layer mapping image occupied by the electronic cigarette smoke according to brightness imaging characteristics corresponding to the electronic cigarette smoke, intelligently analyzing whether the smoke of the electronic cigarette deviates from the primary color or not based on the different color component values of the pixel points, the different color component value upper limit and the different color component value lower limit corresponding to the primary color of the smoke of the electronic cigarette and the number of the pixel points; and the voice broadcast device is used for performing corresponding voice broadcast operation when the smoke of the electronic cigarette deviates from the primary color. According to the invention, various visual information of the electronic cigarette smoke can be input into the artificial intelligence model in parallel to obtain the color inspection identifier representing whether the electronic cigarette smoke deviates from the primary color, so that intelligent identification of whether the electronic cigarette smoke emitted by each newly delivered electronic cigarette finished product deviates from the primary color is completed.

Description

Technical Field

[0001] The present invention relates to the field of electronic cigarette testing, and in particular to an electronic cigarette smoke analysis and detection system. Background Art

[0002] For electronic cigarettes, the internal structure of the cigarette rod uses the same basic components: a light PCBA board, rechargeable batteries, and various electronic circuits. Most electronic cigarettes use lithium-ion and secondary battery power components. Battery life depends on the battery type and size, the number of times it is used, and the operating environment. And many different battery charger types are available, such as socket direct charging, car chargers, and USB interface chargers. The battery is the largest component of an electronic cigarette.

[0003] Some electronic cigarettes use an electronic airflow sensor to activate the heating element, and the battery circuit will work when you inhale. Manual induction requires the user to press a button and then smoke. Pneumatics are easy to use, the manual circuit is relatively more stable than pneumatics, and the smoke output is better than pneumatics. With the development of hardware and software, some manufacturers have begun to develop fully automatic machinery to manufacture electronic cigarettes, eliminating the use of manual wiring, welding or electronics to achieve higher safety and reliability.

[0004] The smoke of electronic cigarettes needs to have a certain standard color, that is, the original color of electronic cigarette smoke. If the real-time smoke color of electronic cigarette smoke deviates from the original color of electronic cigarette smoke, it means that there is a problem with the e-cigarette liquid preparation or the internal structure of the electronic cigarette, and it needs to be repaired or modified. However, the prior art lacks an intelligent identification solution for whether the electronic cigarette smoke emitted by each newly manufactured electronic cigarette product deviates from the original color. Summary of the invention

[0005] In order to solve the above problems, the present invention provides an electronic cigarette smoke analysis and detection system, which can identify each pixel point in the multi-layer mapping image occupied by the electronic cigarette smoke according to the distribution range of the brightness value corresponding to the electronic cigarette smoke, and input the different color component values ​​of each pixel point, the upper and lower limits of the different color component values ​​corresponding to the original color of the electronic cigarette smoke, and the number of each pixel point in parallel to the neural network model after completing a set number of trainings to obtain the color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the original color, thereby completing the intelligent identification of whether the electronic cigarette smoke emitted by each newly manufactured electronic cigarette product deviates from the original color.

[0006] According to the present invention, an electronic cigarette smoke analysis and detection system is provided, the system comprising: The test acquisition mechanism is arranged on the side of the newly-produced electronic cigarette product at the test station, and is used to perform image data acquisition operations on the spray scene of the newly-produced electronic cigarette product to obtain and output corresponding on-site test images; A multi-layer mapping mechanism, connected to the test acquisition mechanism and comprising a first mapping component, a second mapping component and a third mapping component, for continuously performing gamma correction processing, Butterworth low-pass filtering processing and sharpening processing based on a USM filter on the received field test image to obtain and output a corresponding multi-layer mapping image, wherein the first mapping component, the second mapping component and the third mapping component are connected in sequence; An intelligent analysis device is connected to the multi-layer mapping mechanism and is used to receive the multi-layer mapping image, identify each pixel point in the multi-layer mapping image occupied by the electronic cigarette smoke according to the brightness imaging characteristics corresponding to the electronic cigarette smoke, and input the different color component values ​​of each pixel point, the upper and lower limits of the different color component values ​​corresponding to the primary colors of the electronic cigarette smoke, and the number of each pixel point in parallel to the neural network model after completing a set number of trainings to obtain a color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the primary color, the number of trainings of the neural network model is positively correlated with the average of the number of pixel rows and the number of pixel columns in the multi-layer mapping image, and the different color components are each color component in the CMYK color space; A voice broadcasting device, connected to the intelligent analysis device, for determining whether to perform a voice broadcasting operation of the electronic cigarette smoke deviating from the original color emitted by the newly manufactured electronic cigarette product based on the color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the original color; Wherein, identifying each pixel point in the multi-layer mapping image occupied by the electronic cigarette smoke according to the brightness imaging characteristics corresponding to the electronic cigarette smoke includes: the brightness imaging characteristics corresponding to the electronic cigarette smoke are the brightness value distribution range corresponding to the electronic cigarette smoke, and the brightness value distribution range corresponding to the electronic cigarette smoke is limited by the brightness value upper limit threshold and the brightness value lower limit threshold corresponding to the electronic cigarette smoke; Among them, the different color component values ​​of each pixel point, the upper and lower limits of the different color component values ​​corresponding to the original color of the electronic cigarette smoke, and the number of each pixel point are input in parallel to the neural network model after completing a set number of trainings to obtain the color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the original color, including: when the color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the original color takes a value of 0B01, it means that the electronic cigarette smoke emitted by the newly-manufactured electronic cigarette product deviates from the original color, and when the color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the original color takes a value of 0B00, it means that the electronic cigarette smoke emitted by the newly-manufactured electronic cigarette product does not deviate from the original color.

[0007] It can be seen that the present invention has at least the following important invention points: Important invention point 1: Identify each pixel point in the multi-layer mapping image occupied by the electronic cigarette smoke according to the distribution range of the brightness value corresponding to the electronic cigarette smoke, and input the different color component values ​​of each pixel point, the upper and lower limits of the different color component values ​​corresponding to the original color of the electronic cigarette smoke, and the number of each pixel point in parallel to the neural network model after completing a set number of trainings to obtain the color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the original color, thereby completing the intelligent identification of whether the electronic cigarette smoke emitted by each newly manufactured electronic cigarette product deviates from the original color; Important invention point 2: The number of training times of the neural network model for intelligently verifying whether the electronic cigarette smoke deviates from the original color is positively correlated with the average number of pixel rows and pixel columns in the multi-layer mapping image, and the different color components are the respective color components in the CMYK color space; Important invention point three: identifying each pixel point in the multi-layer mapping image occupied by the electronic cigarette smoke according to the brightness imaging characteristics corresponding to the electronic cigarette smoke, wherein the brightness imaging characteristics corresponding to the electronic cigarette smoke are the brightness value distribution range corresponding to the electronic cigarette smoke, and the brightness value distribution range corresponding to the electronic cigarette smoke is limited by the brightness value upper limit threshold and the brightness value lower limit threshold corresponding to the electronic cigarette smoke. DETAILED DESCRIPTION

[0008] The implementation scheme of the electronic cigarette smoke analysis and detection system of the present invention will be described in detail below.

[0009] Implementation 1 According to Embodiment 1 of the present invention, an electronic cigarette smoke analysis and detection system is shown, the system comprising: The test acquisition mechanism is arranged on the side of the newly-produced electronic cigarette product at the test station, and is used to perform image data acquisition operations on the spray scene of the newly-produced electronic cigarette product to obtain and output corresponding on-site test images; A multi-layer mapping mechanism, connected to the test acquisition mechanism and comprising a first mapping component, a second mapping component and a third mapping component, for continuously performing gamma correction processing, Butterworth low-pass filtering processing and sharpening processing based on a USM filter on the received field test image to obtain and output a corresponding multi-layer mapping image, wherein the first mapping component, the second mapping component and the third mapping component are connected in sequence; Specifically, a multi-layer mapping mechanism is connected to the test acquisition mechanism and includes a first mapping component, a second mapping component and a third mapping component, and is used to continuously perform gamma correction processing, Butterworth low-pass filtering processing and sharpening processing based on a USM filter on the received field test image to obtain and output a corresponding multi-layer mapping image, wherein the first mapping component, the second mapping component and the third mapping component are sequentially connected and include: three different types of CPLD chips can be used to respectively implement the first mapping component, the second mapping component and the third mapping component; An intelligent analysis device is connected to the multi-layer mapping mechanism and is used to receive the multi-layer mapping image, identify each pixel point in the multi-layer mapping image occupied by the electronic cigarette smoke according to the brightness imaging characteristics corresponding to the electronic cigarette smoke, and input the different color component values ​​of each pixel point, the upper and lower limits of the different color component values ​​corresponding to the primary colors of the electronic cigarette smoke, and the number of each pixel point in parallel to the neural network model after completing a set number of trainings to obtain a color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the primary color, the number of trainings of the neural network model is positively correlated with the average of the number of pixel rows and the number of pixel columns in the multi-layer mapping image, and the different color components are each color component in the CMYK color space; A voice broadcasting device, connected to the intelligent analysis device, for determining whether to perform a voice broadcasting operation of the electronic cigarette smoke deviating from the original color emitted by the newly manufactured electronic cigarette product based on the color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the original color; Wherein, identifying each pixel point in the multi-layer mapping image occupied by the electronic cigarette smoke according to the brightness imaging characteristics corresponding to the electronic cigarette smoke includes: the brightness imaging characteristics corresponding to the electronic cigarette smoke are the brightness value distribution range corresponding to the electronic cigarette smoke, and the brightness value distribution range corresponding to the electronic cigarette smoke is limited by the brightness value upper limit threshold and the brightness value lower limit threshold corresponding to the electronic cigarette smoke; The different color component values ​​of each pixel point, the upper and lower limits of the different color component values ​​corresponding to the primary color of the electronic cigarette smoke, and the number of each pixel point are inputted in parallel into the neural network model after completing a set number of trainings to obtain a color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the primary color, including: when the color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the primary color takes a value of 0B01, it indicates that the electronic cigarette smoke emitted by the newly manufactured electronic cigarette product deviates from the primary color, and when the color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the primary color takes a value of 0B00, it indicates that the electronic cigarette smoke emitted by the newly manufactured electronic cigarette product does not deviate from the primary color; Wherein, the multi-layer mapping mechanism is connected to the test acquisition mechanism and includes a first mapping component, a second mapping component and a third mapping component, and is used to continuously perform gamma correction processing, Butterworth low-pass filtering processing and sharpening processing based on USM filter on the received field test image to obtain and output the corresponding multi-layer mapping image, and the first mapping component, the second mapping component and the third mapping component are sequentially connected, including: the first mapping component is used to perform gamma correction processing on the received field test image; Wherein, the multi-layer mapping mechanism is connected to the test acquisition mechanism and includes a first mapping component, a second mapping component and a third mapping component, and is used to continuously perform gamma correction processing, Butterworth low-pass filtering processing and sharpening processing based on USM filter on the received field test image to obtain and output the corresponding multi-layer mapping image, and the first mapping component, the second mapping component and the third mapping component are sequentially connected and further include: the second mapping component is used to perform Butterworth low-pass filtering processing on the received image data; Among them, the multi-layer mapping mechanism is connected to the test acquisition mechanism and includes a first mapping component, a second mapping component and a third mapping component, which is used to continuously perform gamma correction processing, Butterworth low-pass filtering processing and USM filter-based sharpening processing on the received field test image to obtain and output the corresponding multi-layer mapping image. The first mapping component, the second mapping component and the third mapping component are connected in sequence and also include: the third mapping component is used to perform USM filter-based sharpening processing on the received image data.

[0010] Implementation 2 According to Embodiment 2 of the present invention, an electronic cigarette smoke analysis and detection system is shown.

[0011] Compared with Embodiment 1, the electronic cigarette smoke analysis and detection system shown in Embodiment 2 may further include the following components: An MCU control chip is connected to the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device respectively, and is used to provide configuration operations of working parameters for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in a time-sharing manner; The MCU control chip is respectively connected to the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device, and is used to provide the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device with configuration operations of working parameters in a time-sharing manner, including: the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device share the same working parameter configuration interface; Wherein, the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device use different configuration address data; Wherein, a parallel connection of a communication data link is established between each of the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device through a parallel data bus; Among them, the parallel connection of the communication data link established between the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device through a parallel data bus includes: the parallel data bus is one of an 8-bit parallel data bus, a 16-bit parallel data bus and a 32-bit parallel data bus.

[0012] Implementation 3 According to Embodiment 3 of the present invention, an electronic cigarette smoke analysis and detection system is shown.

[0013] Compared with Embodiment 1, the electronic cigarette smoke analysis and detection system shown in Embodiment 3 may further include the following components: A power support device, connected to the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device respectively, and used to provide power distribution support of different working voltages for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in a time-sharing manner; The power support device is respectively connected to the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device, and is used to provide power distribution support with different working voltages for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in a time-sharing manner, including: two or more devices with the same working voltage requirements in the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device use the same power supply line; Wherein, the power support device is respectively connected to the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device, and is used to provide power distribution support with different working voltages for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in a time-sharing manner, and further includes: the power support device is an uninterruptible power supply device; The power support device is respectively connected to the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device, and is used to provide power distribution support with different working voltages for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in time-sharing, and further includes: providing different working voltages including 3.3V working voltage for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in time-sharing; And wherein, the power support device is respectively connected to the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device, and is used to provide power distribution support with different working voltages for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in a time-sharing manner, and also includes: providing different working voltages including a 5V working voltage for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in a time-sharing manner.

[0014] In addition, in the electronic cigarette smoke analysis and detection system, the different color component values ​​of each pixel point, the upper and lower limits of the different color component values ​​corresponding to the primary colors of the electronic cigarette smoke, and the number of each pixel point are input in parallel to the neural network model after completing a set number of trainings to obtain a color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the primary colors, which also includes: performing binary value conversion on the different color component values ​​of each pixel point, the upper and lower limits of the different color component values ​​corresponding to the primary colors of the electronic cigarette smoke, and the number of each pixel point, and then inputting them in parallel to the neural network model after completing a set number of trainings, and executing the neural network model after completing a set number of trainings to obtain a color inspection mark output by the neural network model after completing a set number of trainings representing whether the electronic cigarette smoke deviates from the primary colors.

[0015] The electronic cigarette smoke analysis and detection system of the present invention solves the technical problem in the prior art that it is difficult to effectively identify whether the electronic cigarette smoke emitted by the finished electronic cigarette product deviates from the original color. By inputting various visual information of the electronic cigarette smoke into an artificial intelligence model with a customized structure in parallel to obtain a color inspection mark representing whether the electronic cigarette smoke deviates from the original color, an intelligent identification of whether the electronic cigarette smoke emitted by each newly manufactured electronic cigarette product deviates from the original color is completed, thereby ensuring the quality of the finished electronic cigarette product.

[0016] The present invention can be implemented in various ways without departing from its main purpose and main features. Therefore, the above-mentioned embodiments are merely examples in all respects, and the scope of the present invention is as shown in the scope of the claims, and is not subject to any restrictions in the main text of the specification. Moreover, all modifications and changes within the scope of the claims are within the scope of the present invention.

Claims

1. An electronic cigarette smoke analysis and detection system, characterized in that: The system comprises: The test acquisition mechanism is arranged on the side of the newly-produced electronic cigarette product at the test station, and is used to perform image data acquisition operations on the spray scene of the newly-produced electronic cigarette product to obtain and output corresponding on-site test images; A multi-layer mapping mechanism, connected to the test acquisition mechanism and comprising a first mapping component, a second mapping component and a third mapping component, for continuously performing gamma correction processing, Butterworth low-pass filtering processing and sharpening processing based on a USM filter on the received field test image to obtain and output a corresponding multi-layer mapping image, wherein the first mapping component, the second mapping component and the third mapping component are connected in sequence; An intelligent analysis device is connected to the multi-layer mapping mechanism and is used to receive the multi-layer mapping image, identify each pixel point in the multi-layer mapping image occupied by the electronic cigarette smoke according to the brightness imaging characteristics corresponding to the electronic cigarette smoke, and input the different color component values ​​of each pixel point, the upper and lower limits of the different color component values ​​corresponding to the primary colors of the electronic cigarette smoke, and the number of each pixel point in parallel to the neural network model after completing a set number of trainings to obtain a color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the primary color, the number of trainings of the neural network model is positively correlated with the average of the number of pixel rows and the number of pixel columns in the multi-layer mapping image, and the different color components are each color component in the CMYK color space; A voice broadcasting device, connected to the intelligent analysis device, for determining whether to perform a voice broadcasting operation of the electronic cigarette smoke deviating from the original color emitted by the newly manufactured electronic cigarette product based on the color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the original color; Wherein, identifying each pixel point in the multi-layer mapping image occupied by the electronic cigarette smoke according to the brightness imaging characteristics corresponding to the electronic cigarette smoke includes: the brightness imaging characteristics corresponding to the electronic cigarette smoke are the brightness value distribution range corresponding to the electronic cigarette smoke, and the brightness value distribution range corresponding to the electronic cigarette smoke is limited by the brightness value upper limit threshold and the brightness value lower limit threshold corresponding to the electronic cigarette smoke; Among them, the different color component values ​​of each pixel point, the upper and lower limits of the different color component values ​​corresponding to the original color of the electronic cigarette smoke, and the number of each pixel point are input in parallel to the neural network model after completing a set number of trainings to obtain the color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the original color, including: when the color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the original color takes a value of 0B01, it means that the electronic cigarette smoke emitted by the newly-manufactured electronic cigarette product deviates from the original color, and when the color inspection mark output by the neural network model representing whether the electronic cigarette smoke deviates from the original color takes a value of 0B00, it means that the electronic cigarette smoke emitted by the newly-manufactured electronic cigarette product does not deviate from the original color.

2. The electronic cigarette smoke analysis and detection system according to claim 1, characterized in that: A multi-layer mapping mechanism, connected to the test acquisition mechanism and comprising a first mapping component, a second mapping component and a third mapping component, for continuously performing gamma correction processing, Butterworth low-pass filtering processing and sharpening processing based on a USM filter on the received field test image to obtain and output a corresponding multi-layer mapping image, wherein the first mapping component, the second mapping component and the third mapping component are sequentially connected, including: the first mapping component is used to perform gamma correction processing on the received field test image; Wherein, the multi-layer mapping mechanism is connected to the test acquisition mechanism and includes a first mapping component, a second mapping component and a third mapping component, and is used to continuously perform gamma correction processing, Butterworth low-pass filtering processing and sharpening processing based on USM filter on the received field test image to obtain and output the corresponding multi-layer mapping image, and the first mapping component, the second mapping component and the third mapping component are sequentially connected and further include: the second mapping component is used to perform Butterworth low-pass filtering processing on the received image data; Among them, the multi-layer mapping mechanism is connected to the test acquisition mechanism and includes a first mapping component, a second mapping component and a third mapping component, which is used to continuously perform gamma correction processing, Butterworth low-pass filtering processing and USM filter-based sharpening processing on the received field test image to obtain and output the corresponding multi-layer mapping image. The first mapping component, the second mapping component and the third mapping component are connected in sequence and also include: the third mapping component is used to perform USM filter-based sharpening processing on the received image data.

3. The electronic cigarette smoke analysis and detection system according to claim 2, characterized in that: The system further comprises: An MCU control chip is connected to the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device respectively, and is used to provide configuration operations of working parameters for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in a time-sharing manner; Among them, the MCU control chip is connected to the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device respectively, and is used to provide the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device with configuration operations of working parameters in a time-sharing manner, including: the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device share the same working parameter configuration interface.

4. The electronic cigarette smoke analysis and detection system according to claim 3, characterized in that: The first mapping component, the second mapping component, the third mapping component and the intelligent analysis device use different configuration address data.

5. The electronic cigarette smoke analysis and detection system according to claim 3, characterized in that: Establishing parallel connections of communication data links between the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device through parallel data buses; Among them, the parallel connection of the communication data link established between the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device through a parallel data bus includes: the parallel data bus is one of an 8-bit parallel data bus, a 16-bit parallel data bus and a 32-bit parallel data bus.

6. The electronic cigarette smoke analysis and detection system according to claim 2, characterized in that: The system further comprises: A power support device, connected to the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device respectively, and used to provide power distribution support of different working voltages for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in a time-sharing manner; Among them, the power support device is respectively connected to the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device, and is used to provide power distribution support with different working voltages for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in a time-sharing manner, including: among the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device, two or more devices with the same working voltage requirements use the same power supply line.

7. The electronic cigarette smoke analysis and detection system according to claim 6, characterized in that: The power support device is respectively connected to the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device, and is used to provide power distribution support with different working voltages for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in a time-sharing manner, and also includes: the power support device is an uninterruptible power supply device.

8. The electronic cigarette smoke analysis and detection system according to claim 7, characterized in that: The power support device is respectively connected to the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device, and is used to provide power distribution support with different working voltages for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in a time-sharing manner, and also includes: providing different working voltages including a 3.3V working voltage for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in a time-sharing manner.

9. The electronic cigarette smoke analysis and detection system according to claim 8, characterized in that: The power support device is respectively connected to the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device, and is used to provide power distribution support with different working voltages for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in a time-sharing manner, and also includes: providing different working voltages including a 5V working voltage for the first mapping component, the second mapping component, the third mapping component and the intelligent analysis device in a time-sharing manner.