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Method, device, system, equipment and medium for generating oil fume concentration data set

A technology of oil fume concentration and generation device, which is applied in the direction of measuring device, suspension and porous material analysis, scientific instruments, etc., can solve the problems of high labor cost, inconsistent labeling, and lack of unified standards, so as to save labor cost and identify accurately Good performance and reduce the effect of human error

Active Publication Date: 2022-04-19
NINGBO FOTILE KITCHEN WARE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the defects of inconsistency in labeling, lack of unified standards, and high labor costs caused by the existing manual labeling of oily smoke concentration data sets, the present invention provides a method, device, system, equipment and medium for generating oily smoke concentration data sets

Method used

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  • Method, device, system, equipment and medium for generating oil fume concentration data set
  • Method, device, system, equipment and medium for generating oil fume concentration data set
  • Method, device, system, equipment and medium for generating oil fume concentration data set

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Experimental program
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Embodiment 1

[0055] combine figure 1 and figure 2 In the smoke stove scene shown, this embodiment provides a method for generating a cooking fume concentration data set, such as image 3 As shown, the method specifically includes the following steps:

[0056] S1. Acquiring a cooking fume image, the cooking fume image is an image of cooking fume generated at a certain moment in the area below the hood 1 .

[0057] Specifically, the video image of the cooking fume can be collected in real time through the image acquisition device 2 (shown as a camera) installed under the hood 1 , and it should be understood that the video image includes corresponding cooking fume images at different times. In this embodiment, the camera that collects video images is facing the cooker 3, so that the cooker 3 can be completely in the viewing angle of the camera.

[0058] S2. Obtain the diffusion volume of the oil fume, the specific process is as follows:

[0059] First, obtain the diffusion area S of the ...

Embodiment 2

[0082] combine figure 1 and figure 2 In the smoke stove scene shown, this embodiment provides a cooking fume concentration data set generation device 7, such as Figure 4 As shown, the device 7 specifically includes: an image acquisition module 71 , a volume acquisition module 72 , a particle concentration acquisition module 73 , a purification concentration acquisition module 74 , a gear position acquisition module 75 , a concentration level acquisition module 76 and a labeling module 77 .

[0083] The following describes each of the above modules in detail:

[0084] The image acquisition module 71 is configured to acquire an image of oil fume, which is an image of oil fume generated at a certain moment in the area below the hood 1 .

[0085] Specifically, the video image of the cooking fume can be collected in real time through the image acquisition device 2 (shown as a camera) installed under the hood 1 , and it should be understood that the video image includes correspo...

Embodiment 3

[0110] like figure 1 and figure 2 As shown, this embodiment provides a cooking fume concentration data set generation system, including: an image acquisition device 2 for acquiring the cooking fume image, a sensor array for obtaining the particulate matter concentration of the cooking fume, as described in Embodiment 2 The oil smoke concentration data set generation device 7, and the data storage device 8 connected with the image acquisition device 2, the sensor array and the oil smoke concentration data set generation device 7.

[0111] In this embodiment, the image acquisition device 2 is installed under the hood 1 , shown as a camera, and is used to collect video images of oil fume in real time. In this embodiment, the camera is facing the center of the cooker 3, so that the cooker 3 can be completely in the viewing angle of the camera.

[0112] In this embodiment, the particle concentration sensor array is arranged in the area below the cigarette machine 1 and includes ...

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Abstract

The invention provides a method, device, system, equipment and medium for generating a cooking fume concentration data set. The method includes: obtaining a cooking fume image; obtaining the diffusion volume and particle concentration of the cooking fume; The discharge volume of the wind power gear, obtain the corresponding purification concentration when purifying oil fume through different wind power gears of the hood within the expected purification time; obtain the minimum wind power gear whose corresponding purification concentration is less than the preset standard concentration; based on different wind power gears According to the mapping relationship between different preset cooking fume concentration levels, the cooking fume concentration level corresponding to the minimum wind gear is determined as the target cooking fume concentration level corresponding to the cooking fume image; the cooking fume image is marked as the target cooking fume concentration level, and the marked cooking fume The images are joined to the target dataset. The invention can overcome the defects of inconsistency in labeling, lack of unified standards, and large labor costs caused by manual labeling of oil fume concentration data sets.

Description

technical field [0001] The invention relates to the field of automatic generation of data sets, in particular to a method, device, system, equipment and medium for generating oil fume concentration data sets. Background technique [0002] The concentration of oily fume generated during the cooking process changes dynamically. In order to achieve an excellent kitchen smoke removal effect, the wind gear of the hood needs to be adjusted accordingly according to the concentration of oily fume. At present, mainly based on the oil fume image collected by the camera, the deep learning model is used to identify the level of oil fume concentration and make adaptive adjustments. [0003] The effect of using the deep learning model to identify the level of oil fume concentration mainly depends on three aspects: the accuracy of the model network structure, the scale of the data set, and the production process of the data set. [0004] At present, the data set of oil fume concentration ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N15/06
CPCG01N15/06G01N15/075
Inventor 戴植毅
Owner NINGBO FOTILE KITCHEN WARE CO LTD