CN117109057A - Control method, system and storage medium for smoke exhaust ventilator capable of automatically identifying smoke condition - Google Patents
Control method, system and storage medium for smoke exhaust ventilator capable of automatically identifying smoke condition Download PDFInfo
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- CN117109057A CN117109057A CN202311304211.XA CN202311304211A CN117109057A CN 117109057 A CN117109057 A CN 117109057A CN 202311304211 A CN202311304211 A CN 202311304211A CN 117109057 A CN117109057 A CN 117109057A
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- Prior art keywords
- smoke
- information
- oil smoke
- fume
- exhaust ventilator
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- 239000000779 smoke Substances 0.000 title claims abstract description 165
- 238000000034 method Methods 0.000 title claims abstract description 26
- 239000003517 fume Substances 0.000 claims abstract description 24
- 239000006233 lamp black Substances 0.000 claims abstract description 23
- 238000010219 correlation analysis Methods 0.000 claims abstract description 19
- 238000001931 thermography Methods 0.000 claims description 17
- 238000000605 extraction Methods 0.000 claims description 10
- 238000001228 spectrum Methods 0.000 claims description 9
- 239000000446 fuel Substances 0.000 claims description 7
- 239000007789 gas Substances 0.000 claims description 7
- 239000002699 waste material Substances 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 4
- 239000000284 extract Substances 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 238000012549 training Methods 0.000 claims description 3
- 238000003384 imaging method Methods 0.000 claims 1
- 238000010521 absorption reaction Methods 0.000 abstract description 2
- 238000012544 monitoring process Methods 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 230000002860 competitive effect Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
- F24C15/00—Details
- F24C15/20—Removing cooking fumes
- F24C15/2021—Arrangement or mounting of control or safety systems
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Ventilation (AREA)
Abstract
The invention discloses a smoke exhaust ventilator control method and system capable of automatically identifying the condition of smoke and a storage medium, and relates to the field of intelligent kitchens. The invention comprises the following steps: acquiring lampblack information below the range hood, and extracting lampblack information characteristic data; respectively determining the fume state information of the area to be detected and the fume movement parameters according to the fume information characteristic data; carrying out correlation analysis on the oil smoke state information and the smoke motion parameters; and automatically adjusting the suction force of the smoke exhaust ventilator based on the correlation analysis result. According to the invention, the oil smoke state is obtained in real time through monitoring and analyzing the oil smoke data below the range hood, and the oil smoke state is predicted and associated and analyzed, so that the suction force of the range hood can be controlled in real time, the energy is saved, and the thorough absorption of the oil smoke is ensured.
Description
Technical Field
The invention relates to the field of intelligent kitchens, in particular to a smoke exhaust ventilator control method, a system and a storage medium for automatically identifying the condition of smoke exhaust ventilator.
Background
In the second decade of the 21 st century, with the popularization of smart phones and smart operating systems, people's life has entered the information technology age represented by large-scale smart home and internet of things. Almost all aspects of daily life such as clothing and eating houses of people have intelligent products or solutions. With the development of the internet of things and the mobile internet technology, intelligent home is gradually moving in and starts to influence the life of ordinary people. The intelligent kitchen is taken as one of important components of the intelligent home, and becomes the focus of competitive angles of a plurality of intelligent platform manufacturers at present. As an important household kitchen appliance, the range hood is an intelligent kitchen appliance, and other kitchen appliances such as an electric cooker and the like are not blocked outside an intelligent large opening for any reason today. At present, the control area of the existing relatively intelligent smoke exhaust ventilator is a narrow liquid crystal screen, and the traditional operation buttons for exhausting smoke are displayed on the screen, but no other information exists. The other intelligent range hoods are different in size, and basically, the remote control function is added on the basis of the range hoods.
In view of the above, in the prior art, the range hood needs to manually select the suction force, and the excessive suction force may cause waste of energy, and the insufficient suction force may cause insufficient suction of the oil smoke, so a range hood control method is needed to realize automatic suction force adjustment.
Disclosure of Invention
In view of the above, the present invention provides a control method, system and storage medium for a range hood capable of automatically identifying the fume condition, so as to solve the problems in the background art.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
a smoke exhaust ventilator control method capable of automatically identifying smoke conditions comprises the following steps:
acquiring lampblack information below the range hood, and extracting lampblack information characteristic data;
respectively determining the fume state information of the area to be detected and the fume movement parameters according to the fume information characteristic data;
carrying out correlation analysis on the oil smoke state information and the smoke motion parameters;
and automatically adjusting the suction force of the smoke exhaust ventilator based on the correlation analysis result.
Optionally, the oil smoke information is collected by an image recognition mode, and the image recognition result is supplemented and corrected by a thermal imaging mode.
Optionally, the oil smoke information includes N thermal imaging information and M image information, and extracting characteristic data of the oil smoke information specifically includes the following steps:
respectively sequencing N pieces of thermal imaging information and M pieces of image information according to acquisition time to generate a thermal imaging information sequence { N } 1 ,n 2 …n N Sum of image information sequence { m } 1 ,m 2 …m N }；
Based on thermal imaging information sequence { n } 1 ,n 2 …n N Sum of image information sequence { m } 1 ,m 2 …m M Reconstructing a standard dynamic response profile;
establishing a real-time standard gas dynamic response spectrum library according to the reconstructed standard dynamic response spectrum;
and extracting the characteristics in the real-time standard gas dynamic response spectrum library, and generating a characteristic sequence.
Optionally, the characteristic sequence reflects the content and state of air, water vapor, oil smoke and fuel waste below the range hood.
Optionally, the oil smoke state information and the smoke motion parameters of the to-be-detected area are respectively determined according to the oil smoke information characteristic data, and the specific steps are as follows:
building a lampblack information feature data identification network, wherein the lampblack information feature data identification network is a dynamic feature identification network, and the dynamic feature extraction network extracts dynamic features of a video sequence in a time domain;
training the dynamic characteristic recognition network by using the historical use habit of the smoke exhaust ventilator user to obtain a smoke information recognition network model; the oil smoke information identification network model comprises an oil smoke state information extraction module and an oil smoke motion parameter acquisition module;
and predicting the oil smoke state information and the smoke motion parameters of the area to be detected at the next moment in real time based on the oil smoke information identification network.
Optionally, the fume status information includes the viscosity status of fume, and the proportion distribution of air, steam, fume and fuel waste.
Optionally, performing correlation analysis on the oil smoke state information and the smoke motion parameter specifically includes: and carrying out correlation analysis on the viscosity degree of the oil smoke state information and the smoke operation parameters, and determining the smoke trend at the next moment.
A range hood control system for automatically identifying a smoke condition, comprising:
and the lampblack information feature extraction module is used for: the method is used for acquiring the oil smoke information below the range hood and extracting the characteristic data of the oil smoke information;
and the lampblack state determining module is used for: the device is used for respectively determining the oil smoke state information of the area to be detected and the smoke motion parameters according to the oil smoke information characteristic data;
and the lampblack state analysis module is used for: the device is used for carrying out correlation analysis on the oil smoke state information and the smoke motion parameters;
dynamic adjusting module of smoke exhaust ventilator: and automatically adjusting the suction force of the smoke exhaust ventilator based on the correlation analysis result.
A computer storage medium having a computer program stored thereon, which when executed by a processor, performs any one of the steps of a range hood control method for automatically identifying a smoke condition.
Compared with the prior art, the invention provides the smoke exhaust ventilator control method, the system and the storage medium for automatically identifying the smoke exhaust ventilator, which have the following beneficial effects:
according to the invention, the oil smoke state is obtained in real time through monitoring and analyzing the oil smoke data below the range hood, and the oil smoke state is predicted and associated and analyzed, so that the suction force of the range hood can be controlled in real time, the energy is saved, and the thorough absorption of the oil smoke is ensured.
Further, the invention analyzes the state of the oil smoke and the smoke motion parameters, and determines the trend of the smoke at the next moment according to the smoke state information and the smoke motion parameters, thereby improving the accuracy of smoke judgment.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of the present invention;
fig. 2 is a schematic structural view of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention discloses a smoke exhaust ventilator control method capable of automatically identifying the condition of smoke, as shown in fig. 1, comprising the following steps:
s1: acquiring lampblack information below the range hood, and extracting lampblack information characteristic data;
s2: respectively determining the fume state information of the area to be detected and the fume movement parameters according to the fume information characteristic data;
s3: carrying out correlation analysis on the oil smoke state information and the smoke motion parameters;
s4: and automatically adjusting the suction force of the smoke exhaust ventilator based on the correlation analysis result.
Further, in S1, the oil smoke information is collected by means of image recognition, and the image recognition result is supplemented and corrected by means of thermal imaging.
In this embodiment, firstly, the oil smoke image is collected in real time by means of image collection, the concentration of the oil smoke is judged, and the oil smoke solid particulate matters in the oil smoke are identified by means of thermal imaging, so that the oil smoke image is supplemented. The correction means that when the oil smoke concentration is too high, the definition of image acquisition is too low, at the moment, the whole information of the oil smoke is acquired by utilizing a thermal imaging mode, the thermal imaging information is inserted into the oil smoke image by utilizing an interpolation mode, the acquisition precision is further improved, and a foundation is laid for the subsequent feature extraction.
Further, in S1, the oil smoke information includes N pieces of thermal imaging information and M pieces of image information, and extracting characteristic data of the oil smoke information specifically includes the following steps:
s11: respectively sequencing N pieces of thermal imaging information and M pieces of image information according to acquisition time to generate a thermal imaging information sequence { N } 1 ,n 2 …n N Sum of image information sequence { m } 1 ,m 2 …m N }；
S12: based on thermal imaging information sequence { n } 1 ,n 2 …n N Sum of image information sequence { m } 1 ,m 2 …m M Reconstructing a standard dynamic response profile;
s13: establishing a real-time standard gas dynamic response spectrum library according to the reconstructed standard dynamic response spectrum;
s14: and extracting the characteristics in the real-time standard gas dynamic response spectrum library, and generating a characteristic sequence.
Further, in S14, the characteristic sequence reflects the content and status of air, water vapor, oil smoke, and fuel waste below the range hood. When the range hood works, mixed air with viscosity value much larger than that of common air is used as medium, and the mixed air consists of air, water vapor, oil smoke, fuel exhaust gas and other components.
Further, in S2, the oil smoke state information and the smoke motion parameters of the to-be-detected area are respectively determined according to the oil smoke information feature data, and the specific steps are as follows:
s21: building a lampblack information feature data identification network, wherein the lampblack information feature data identification network is a dynamic feature identification network, and the dynamic feature extraction network extracts dynamic features of a video sequence in a time domain;
s22: training the dynamic characteristic recognition network by using the historical use habit of the smoke exhaust ventilator user to obtain a smoke information recognition network model; the oil smoke information identification network model comprises an oil smoke state information extraction module and an oil smoke motion parameter acquisition module;
s23: and predicting the oil smoke state information and the smoke motion parameters of the area to be detected at the next moment in real time based on the oil smoke information identification network.
Further, in S2, the oil smoke state information includes the viscosity state of the oil smoke, the proportion distribution condition of air, steam, oil smoke and fuel waste, and the suction force of the range hood can be adjusted in real time and whether the oil smoke filter screen is selected to start or not by acquiring the proportion distribution condition, so that the cleaning is convenient.
Further, in S3, performing a correlation analysis on the fume status information and the fume movement parameter, which specifically includes: and carrying out correlation analysis on the viscosity degree of the oil smoke state information and the smoke operation parameters, and determining the smoke trend at the next moment.
Further, in this embodiment, the smoke movement parameter may be determined according to the relevant parameters of the contour convex region of the smoke contour. The smoke movement parameters may include a smoke movement direction and a movement speed. Furthermore, by acquiring the smoke outline of the smoke area in the target image and determining the smoke movement parameter according to the relevant parameters of the outline convex area of the smoke outline, the accuracy of determining the smoke movement parameter can be improved.
The invention also discloses a smoke exhaust ventilator control system for automatically identifying the smoke condition, which corresponds to the method shown in fig. 1, and is used for realizing the method shown in fig. 1, and the specific structure is shown in fig. 2, and comprises the following steps:
and the lampblack information feature extraction module is used for: the method is used for acquiring the oil smoke information below the range hood and extracting the characteristic data of the oil smoke information;
and the lampblack state determining module is used for: the device is used for respectively determining the oil smoke state information of the area to be detected and the smoke motion parameters according to the oil smoke information characteristic data;
and the lampblack state analysis module is used for: the device is used for carrying out correlation analysis on the oil smoke state information and the smoke motion parameters;
dynamic adjusting module of smoke exhaust ventilator: and automatically adjusting the suction force of the smoke exhaust ventilator based on the correlation analysis result.
The embodiment finally discloses a computer storage medium, wherein a computer program is stored on the computer storage medium, and the computer program realizes the steps of any one of the smoke exhaust ventilator control methods for automatically identifying the smoke exhaust ventilator condition when being executed by a processor.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. A smoke exhaust ventilator control method capable of automatically identifying smoke conditions is characterized by comprising the following steps:
acquiring lampblack information below the range hood, and extracting lampblack information characteristic data;
respectively determining the fume state information of the area to be detected and the fume movement parameters according to the fume information characteristic data;
carrying out correlation analysis on the oil smoke state information and the smoke motion parameters;
and automatically adjusting the suction force of the smoke exhaust ventilator based on the correlation analysis result.
2. The control method for the smoke exhaust ventilator capable of automatically identifying the smoke condition according to claim 1, wherein the smoke information is collected by means of image identification, and the image identification result is supplemented and corrected by means of thermal imaging.
3. The smoke exhaust ventilator control method for automatically identifying a smoke condition according to claim 1, wherein the smoke information comprises N pieces of thermal imaging information and M pieces of image information, and extracting smoke information characteristic data comprises the following steps:
respectively sequencing N pieces of thermal imaging information and M pieces of image information according to acquisition time to generateThermal imaging information sequence { n } 1 ,n 2 …n N Sum of image information sequence { m } 1 ,m 2 …m N }；
Based on thermal imaging information sequence { n } 1 ,n 2 …n N Sum of image information sequence { m } 1 ,m 2 …m M Reconstructing a standard dynamic response profile;
establishing a real-time standard gas dynamic response spectrum library according to the reconstructed standard dynamic response spectrum;
and extracting the characteristics in the real-time standard gas dynamic response spectrum library, and generating a characteristic sequence.
4. A range hood control method for automatically recognizing a smoke condition according to claim 3, wherein the characteristic sequence reflects the content and status of air, water vapor, smoke and fuel waste under the range hood.
5. The smoke exhaust ventilator control method for automatically identifying smoke conditions according to claim 1, 3 or 4, wherein the smoke state information of the area to be detected and the smoke movement parameters are respectively determined according to the smoke information characteristic data, and the specific steps are as follows:
building a lampblack information feature data identification network, wherein the lampblack information feature data identification network is a dynamic feature identification network, and the dynamic feature extraction network extracts dynamic features of a video sequence in a time domain;
training the dynamic characteristic recognition network by using the historical use habit of the smoke exhaust ventilator user to obtain a smoke information recognition network model; the oil smoke information identification network model comprises an oil smoke state information extraction module and an oil smoke motion parameter acquisition module;
and predicting the oil smoke state information and the smoke motion parameters of the area to be detected at the next moment in real time based on the oil smoke information identification network.
6. The method according to claim 1, wherein the fume status information includes a viscosity status of fume, a proportion distribution of air, steam, fume, and fuel waste.
7. The range hood control method for automatically identifying a fume condition according to claim 1, wherein the relevant analysis is performed on the fume status information and the fume movement parameter, and specifically comprises: and carrying out correlation analysis on the viscosity degree of the oil smoke state information and the smoke operation parameters, and determining the smoke trend at the next moment.
8. A range hood control system for automatically identifying a smoke condition, comprising:
and the lampblack information feature extraction module is used for: the method is used for acquiring the oil smoke information below the range hood and extracting the characteristic data of the oil smoke information;
and the lampblack state determining module is used for: the device is used for respectively determining the oil smoke state information of the area to be detected and the smoke motion parameters according to the oil smoke information characteristic data;
and the lampblack state analysis module is used for: the device is used for carrying out correlation analysis on the oil smoke state information and the smoke motion parameters;
dynamic adjusting module of smoke exhaust ventilator: and automatically adjusting the suction force of the smoke exhaust ventilator based on the correlation analysis result.
9. A computer storage medium having stored thereon a computer program which when executed by a processor performs the steps of a range hood control method for automatically identifying a smoke condition according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311304211.XA CN117109057A (en) | 2023-10-10 | 2023-10-10 | Control method, system and storage medium for smoke exhaust ventilator capable of automatically identifying smoke condition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311304211.XA CN117109057A (en) | 2023-10-10 | 2023-10-10 | Control method, system and storage medium for smoke exhaust ventilator capable of automatically identifying smoke condition |
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| Publication Number | Publication Date |
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| CN117109057A true CN117109057A (en) | 2023-11-24 |
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| CN202311304211.XA Pending CN117109057A (en) | 2023-10-10 | 2023-10-10 | Control method, system and storage medium for smoke exhaust ventilator capable of automatically identifying smoke condition |
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| Country | Link |
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| CN (1) | CN117109057A (en) |
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2023
- 2023-10-10 CN CN202311304211.XA patent/CN117109057A/en active Pending
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