CN109744580A - Intelligent tobacco control method and device - Google Patents
Intelligent tobacco control method and device Download PDFInfo
- Publication number
- CN109744580A CN109744580A CN201910026598.4A CN201910026598A CN109744580A CN 109744580 A CN109744580 A CN 109744580A CN 201910026598 A CN201910026598 A CN 201910026598A CN 109744580 A CN109744580 A CN 109744580A
- Authority
- CN
- China
- Prior art keywords
- index
- chemical
- tobacco
- value
- energy value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Abstract
The embodiment of the present invention provides a kind of intelligent tobacco control method and device.This method comprises: the energy value of detection target heat source signal;Whether within a preset range to judge the thermal energy value, wherein the preset range is determined according to the thermal energy value of cigarette combustion;If the thermal energy value is within a preset range, further detect whether that there are smoking movements according to variation of the thermal energy value in the first preset time;If it is determined that there are smoking movement, then to be evaluated based on intelligent tobacco control formula the quality of tobacco of target cigarette;If the quality of tobacco of target cigarette is lower than preset threshold, user is reminded to stop smoking.The embodiment of the present invention plays the beneficial effect for providing more preferable smoking experience for user, while ensureing user health.
Description
Technical field
The present embodiments relate to health control technical fields, more particularly to intelligent tobacco control method and device.
Background technique
Now, tobacco quality has become an important indicator concerning health of smokers, and low quality tobacco both will affect
Smoker's experience, but will destroy health of smokers.
The kind of leaf itself, the place of production, position and growing environment, the factors such as weather conditions can all generate quality of tobacco
Large effect.Currently, quality of tobacco is mainly from aesthetic quality, presentation quality, four aspects of chemical component and physical characteristic
It is evaluated.Wherein, aesthetic quality and presentation quality rely primarily on professional to carry out quality evaluation, complex steps, and by
It is easy to produce sensory fatigue in heavy workload, there may be subjectivity errors for evaluation result, and repeatability is unstable, different evaluation
Preference between body is difficult consistent with evaluation score value gradient, may cause the larger fluctuation etc. of product quality.Therefore, tobacco leaf is utilized
Chemical index data, the quality of tobacco leaf is evaluated, can be effectively avoided quality of tobacco mix and caused by product volume
The problems such as cigarette unstable quality.
However, existing intelligence tobacco control method, due to that cannot be controlled based on the evaluation result of tobacco quality, from
Without precisely also unreasonable.
Summary of the invention
The embodiment of the present invention provides a kind of intelligence smoking for overcoming the above problem or at least being partially solved the above problem
Control method and device.
In a first aspect, the embodiment of the present invention provides a kind of intelligent tobacco control method, comprising: detection target heat source signal
Energy value;
Whether within a preset range to judge the thermal energy value, wherein the preset range is according to the thermal energy value of cigarette combustion
It determines;If the thermal energy value is within a preset range, the further variation inspection according to the thermal energy value in the first preset time
It surveys and is acted with the presence or absence of smoking;
If it is determined that for there are smoking movements, then based on intelligent tobacco control formula to the quality of tobacco of target cigarette into
Row evaluation;
If the quality of tobacco of target cigarette is lower than preset threshold, user is reminded to stop smoking;
Wherein, intelligent tobacco control formula obtains in the following manner: obtaining a variety of chemical index of sample tobacco leaf;According to
The relative coefficient of every kind of chemical index and sensory quality assessment score value screens a variety of chemical index, obtains
Obtain chemical component evaluation index;Corresponding fitting score function is established to chemical component evaluation index described in every kind, is obtained corresponding
Fitting score value;According to the relative coefficient of the fitting score value and sensory evaluation score value, to Chemical Evaluation index described in every kind
Corresponding weighted value is set, by weighted summation, obtains intelligent tobacco control formula.
Second aspect, the embodiment of the present invention provides a kind of electronic equipment, including memory, processor and is stored in memory
Computer program that is upper and can running on a processor, processor realize the intelligent tobacco control side of first aspect when executing program
The step of method.
The third aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, are stored thereon with calculating
Machine program, when which is executed by processor the step of the intelligent tobacco control method of realization first aspect.
The energy value that the embodiment of the present invention passes through detection target heat source signal;Judge the thermal energy value whether in preset range
It is interior, wherein the preset range is determined according to the thermal energy value of cigarette combustion;If the thermal energy value is within a preset range, into one
Step detects whether that there are smoking movements according to variation of the thermal energy value in the first preset time;If it is determined that for there are the suctions
Cigarette movement, then evaluate the quality of tobacco of target cigarette based on intelligent tobacco control formula;If the tobacco leaf matter of target cigarette
Amount is lower than preset threshold, then user is reminded to stop smoking;Wherein, intelligent tobacco control formula obtains in the following manner: obtaining
A variety of chemical index of sample tobacco leaf;It is right according to the relative coefficient of chemical index described in every kind and sensory quality assessment score value
A variety of chemical index are screened, and chemical component evaluation index is obtained;Chemical component evaluation index described in every kind is established
Corresponding fitting score function obtains corresponding fitting score value;According to the correlation of the fitting score value and sensory evaluation score value
Coefficient by weighted summation, obtains intelligence smoking control to the corresponding weighted value of Chemical Evaluation target setting described in every kind
Formula processed.The embodiment of the present invention plays the beneficial effect for providing more preferable smoking experience for user, while ensureing user health.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow diagram of intelligent tobacco control method provided in an embodiment of the present invention;
Fig. 2 is the entity structure schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Fig. 1 is the flow diagram of intelligent tobacco control method provided in an embodiment of the present invention.As shown in Figure 1, the intelligence
Tobacco control method includes:
S1, the energy value of target heat source signal;
Whether within a preset range S2 states thermal energy value, wherein the preset range is true according to the thermal energy value of cigarette combustion
It is fixed;If the thermal energy value is within a preset range, the further variation detection according to the thermal energy value in the first preset time
It is acted with the presence or absence of smoking;
S3 is then carried out based on quality of tobacco of the intelligent tobacco control formula to target cigarette for there are smoking movements
Evaluation;
The quality of tobacco of S4, target cigarette are lower than preset threshold, then user is reminded to stop smoking;
Wherein, intelligent tobacco control formula obtains in the following manner: step 101, obtaining a variety of chemistry of sample tobacco leaf
Index;Step 102, according to the relative coefficient of chemical index described in every kind and sensory quality assessment score value, to a variety of describedization
It learns index to be screened, obtains chemical component evaluation index;Step 103, every kind of chemical component evaluation index is established corresponding
Fitting score function, obtain corresponding fitting score value;Step 104, according to the phase of the fitting score value and sensory evaluation score value
Property coefficient is closed, to the corresponding weighted value of Chemical Evaluation target setting described in every kind, by weighted summation, intelligence is obtained and inhales
Cigarette controls formula.
Specifically, step 101, the tobacco leaf sample for selecting producing region to be measured or type, extracts every kind from tobacco leaf sample
A variety of chemical index of raw tobacco material.Above-mentioned chemical index can be used in evaluating the quality of tobacco leaf.
Step 102, according to the relative coefficient of every kind of chemical index and sensory quality assessment score value, to institute in step 101
A variety of chemical index of choosing are screened, using the chemical index filtered out as chemical component evaluation index.For example, filter out with
The relative coefficient of sensory quality assessment score value is greater than the chemical index of preset value, as chemical component evaluation index.
Step 103, corresponding fitting scoring letter is established to the every kind of chemical component evaluation index filtered out in step 102
Number, and obtain being fitted fitting score value corresponding to score function accordingly.For example, the chemical component evaluation index difference screened
For sugared nitrogen ratio, nitrogen base ratio, nicotine and potassium chlorine ratio.Scatter plot distributions for sugared nitrogen ratio, according to itself and sensory quality assessment score value
Trend sets fitting function type, and using to function is hooked, the fitting score function of obtained sugared nitrogen ratio is as follows:
Wherein, y1For the fitting score value of sugared nitrogen ratio, x1For the numerical value of sugared nitrogen ratio.
For nitrogen base ratio, fitting function class is set according to the fitted figure distribution trend of itself and sensory quality assessment score value
Type, using to function is hooked, the fitting score function of obtained nitrogen base ratio is as follows:
Wherein, y2For the fitting score value of nitrogen base ratio, x2For the numerical value of nitrogen base ratio.
For nicotine, fitting function type is set according to the fitted figure distribution trend of itself and sensory quality assessment score value,
Using quadratic function, the fitting score function of nicotine is obtained, as follows:
y3=-15x3 2+90x3- 40, (3)
Wherein, y3For the fitting score value of nicotine, x3For the numerical value of nicotine.
For potassium chlorine ratio, fitting function class is set according to the fitted figure distribution trend of itself and sensory quality assessment score value
Type obtains the fitting score function of potassium chlorine ratio using piecewise linear function, as follows:
Wherein, y4For the fitting score value of potassium chlorine ratio, x4For the numerical value of potassium chlorine ratio.
Every kind of Chemical Evaluation index of selected every kind of sample is updated to corresponding fitting score function, is intended accordingly
Close score value.For example, the number of selected sample is 100, then every kind of Chemical Evaluation index of every kind of sample is updated to accordingly
Fitting score function in, obtain every kind of Chemical Evaluation index all and can obtain 100 corresponding fitting score values.
Step 104, fitting score value obtained in step 103 and sensory evaluation score value are subjected to Controlling UEP, according to
Corresponding relative coefficient, according to the size of relative coefficient to every kind of corresponding weighted value of Chemical Evaluation target setting, to step
Fitting score function corresponding to obtained every kind of chemical component evaluation index is weighted summation in rapid 103, is evaluated
The formula of quality of tobacco.Such as: according to the relative coefficient of fitting score value and sensory evaluation score value, pass through artificial or software meter
The modes such as calculate, it is respectively 0.4,0.3,0.2,0.1 that sugared nitrogen, which is arranged, than, the weighted value of nitrogen base ratio, nicotine and potassium chlorine ratio, then passing through
The mode of weighted sum obtains the formula of evaluation quality of tobacco, as follows:
Wherein, Y is the fitting score value of quality of tobacco;x1For the numerical value of sugared nitrogen ratio;x2For the numerical value of nitrogen base ratio;x3For nicotine
Numerical value;x4For the numerical value of potassium chlorine ratio.
The embodiment of the present invention passes through a variety of chemical index for obtaining raw tobacco material, and according to every kind of chemical index and sense organ matter
The relative coefficient of amount evaluation score value screens chemical index, rationally comprehensively sets chemical component evaluation index;And it is right
Every kind of chemical component evaluation index establishes corresponding fitting score function, corresponding fitting score value is obtained, further according to fitting score value
With the relative coefficient of sensory evaluation score value, the corresponding weighted value of every kind of Chemical Evaluation index of reasonable set, finally by adding
The mode of summation is weighed, the formula of evaluation quality of tobacco is obtained.The formula of acquired evaluation quality of tobacco is more accurate, Neng Gouyou
The quality of effect ground evaluation tobacco leaf, to promote the stable development of the long-term sustainable of Tobacco Product Quality.
On the basis of the above embodiments, as a kind of optional embodiment, chemical index include: chemical component index and
Chemical component derives index;Correspondingly, a variety of chemical index of tobacco leaf are obtained, comprising: the near infrared spectrum data of tobacco leaf is obtained,
Construct the near-infrared quantitative math-model of near infrared spectrum data;By near-infrared quantitative math-model, calculates and obtain a variety ofization
Learn component target;According to chemical component index, calculates and obtain a variety of chemical derivatization indexs.
Specifically, the chemical index of tobacco leaf includes chemical component index and the derivative index of chemical component.As a kind of optional
Embodiment, chemical component index, comprising: total reducing sugar, total nitrogen, nicotine, total potassium and total chlorine.As a kind of optional embodiment, change
Learn derivative index, comprising: sugared nitrogen ratio, nitrogen base ratio, potassium chlorine ratio.
The tobacco leaf sample for selecting producing region to be measured or type is scanned all samples using nir instrument,
The near infrared spectrum data of raw tobacco material is obtained, and constructs the near-infrared quantitative math-model of near infrared spectrum data.As one
Kind of optional embodiment, after the near infrared spectrum data for obtaining raw tobacco material, further includes: using derivation and smoothing processing to close red
External spectrum data are pre-processed.As a kind of optional embodiment, the spectral region of near infrared spectrum data, comprising: 4000
~8000cm.
For example, the annual Liangshan of Sichuan Province of acquisition 2014 and 2015, Panzhihua, Luzhou, Yibin, the tobacco leaf of Guangyuan region are total
The near infrared spectrum data of 465 parts of samples;And it is fixed to establish total reducing sugar, total nitrogen, nicotine, organic potassium, the near-infrared of total chlorine component content
Mathematical model is measured, near infrared spectral range is limited to 4000~8000cm when modeling, and smoothly right using first derivative and at 15 points
Spectrum is pre-processed.Using constructed near-infrared quantitative math-model, analyzes the 2016 and 2017 annual Liangshan Mountain, climbs branch
Flower, Luzhou, Yibin, Guangyuan region amount to 200 parts of tobacco samples total reducing sugar, total nitrogen, nicotine, organic potassium, chloride content;And it calculates
Sugared nitrogen ratio, nitrogen base ratio, the potassium chlorine of tobacco sample compare numerical value out.
The embodiment of the present invention obtains the near-infrared of raw tobacco material by selecting the tobacco leaf sample in producing region to be measured or type
Spectroscopic data constructs the near-infrared quantitative math-model of near infrared spectrum data.As long as by identical producing region or type tobacco leaf sample
This near infrared spectrum data is directly inputted to near-infrared quantitative math-model, so that it may efficiently be changed conveniently and accordingly
Learn component target and chemical derivatization index.
On the basis of the various embodiments described above, as a kind of optional embodiment, according to every kind of chemical index and sense organ matter
The relative coefficient of amount evaluation score value, screens a variety of chemical index, obtains chemical component evaluation index, comprising: pass through
Linear function fit method is fitted sensory quality assessment score value and chemical index, obtains corresponding relative coefficient, root
Chemical index is screened according to relative coefficient, selects the chemical index conductization that wherein relative coefficient reaches given threshold
Study a point evaluation index.
Specifically, since tobacco leaf is there are many chemical index, influence of the every kind of chemical index to quality of tobacco it is of different sizes,
It needs to screen a variety of chemical index of tobacco leaf.By the method for linear function fit, to already existing aesthetic quality
The correlation of a variety of chemical index of evaluation score value and tobacco leaf is fitted, and obtains related coefficient by fitting, and comprehensively consider
Situations such as common phase between each index is closed, filters out relative coefficient from a variety of chemical index of tobacco leaf and reaches given threshold
Chemical index, as chemical component evaluation index.For example, by linear function fit method, to sensory quality assessment in 2016
A variety of chemical index of score value and tobacco leaf, are fitted, and are fitted and obtain related coefficient between the two, according to related coefficient
Size, and comprehensively consider situations such as common phase between each index is closed, filter out sugared nitrogen ratio, nitrogen base ratio, nicotine, potassium chlorine ratio conductization
Study a point evaluation index.
The embodiment of the present invention passes through, by according to sensory quality assessment score value and chemical index relative coefficient, to change
It learns index to be screened, obtains corresponding chemical component evaluation index.Evaluation tobacco leaf matter can be more set comprehensively and reasonably
The chemical component evaluation index of amount.
The entity structure schematic diagram of Fig. 2 a kind of electronic equipment provided in an embodiment of the present invention.If Fig. 2 shows, the electronic equipment
It include: processor (processor) 310,320, memory communication interface (Communications Interface)
(memory) 330 and communication bus 340, wherein processor 310, communication interface 320, memory 330 pass through communication bus 340
Complete mutual communication.Processor 310 can call the logical order in memory 330, to execute following method: detection mesh
Mark the energy value of heat source signal;Whether within a preset range to judge the thermal energy value, wherein the preset range is fired according to cigarette
The thermal energy value of burning determines;If the thermal energy value is within a preset range, further according to the thermal energy value in the first preset time
Interior variation detects whether that there are smoking movements;If it is determined that for there are smoking movements, then based on intelligent tobacco control formula
The quality of tobacco of target cigarette is evaluated;If the quality of tobacco of target cigarette is lower than preset threshold, user is reminded to stop
Smoking;Wherein, intelligent tobacco control formula obtains in the following manner: obtaining a variety of chemical index of sample tobacco leaf;According to every
The relative coefficient of the kind chemical index and sensory quality assessment score value, screens a variety of chemical index, obtains
Chemical component evaluation index;Corresponding fitting score function is established to chemical component evaluation index described in every kind, is obtained corresponding
It is fitted score value;According to the relative coefficient of the fitting score value and sensory evaluation score value, Chemical Evaluation index described in every kind is set
Fixed corresponding weighted value obtains intelligent tobacco control formula by weighted summation.
In addition, the logical order in above-mentioned memory 330 can be realized by way of SFU software functional unit and conduct
Independent product when selling or using, can store in a computer readable storage medium.Based on this understanding, originally
Substantially the part of the part that contributes to existing technology or the technical solution can be in other words for the technical solution of invention
The form of software product embodies, which is stored in a storage medium, including some instructions to
So that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation of the present invention
The all or part of the steps of example method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can be with
Store the medium of program code.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, the non-transient computer readable storage medium
Matter stores computer instruction, which makes computer execute intelligence tobacco control method provided by above-described embodiment,
For example, the energy value of detection target heat source signal;Whether within a preset range to judge the thermal energy value, wherein described pre-
If range is determined according to the thermal energy value of cigarette combustion;If the thermal energy value is within a preset range, further according to the thermal energy
Variation of the value in the first preset time detects whether that there are smoking movements;If it is determined that there are smoking movement, to be then based on
Intelligent tobacco control formula evaluates the quality of tobacco of target cigarette;If the quality of tobacco of target cigarette is lower than default threshold
Value then reminds user to stop smoking;Wherein, intelligent tobacco control formula obtains in the following manner: obtaining the more of sample tobacco leaf
Kind chemical index;According to the relative coefficient of chemical index described in every kind and sensory quality assessment score value, to a variety of chemistry
Index is screened, and chemical component evaluation index is obtained;Corresponding fitting is established to chemical component evaluation index described in every kind to comment
Divide function, obtains corresponding fitting score value;According to the relative coefficient of the fitting score value and sensory evaluation score value, to every kind of institute
The corresponding weighted value of Chemical Evaluation target setting is stated, by weighted summation, obtains intelligent tobacco control formula.
The apparatus embodiments described above are merely exemplary, wherein unit can be as illustrated by the separation member
Or may not be and be physically separated, component shown as a unit may or may not be physical unit, i.e.,
It can be located in one place, or may be distributed over multiple network units.It can select according to the actual needs therein
Some or all of the modules achieves the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creative labor
In the case where dynamic, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
The method of certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features;
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (9)
1. a kind of intelligence tobacco control method characterized by comprising
Detect the energy value of target heat source signal;
Whether within a preset range to judge the thermal energy value, wherein the preset range is determined according to the thermal energy value of cigarette combustion;
If the thermal energy value is within a preset range, further detected whether according to variation of the thermal energy value in the first preset time
There are smoking movements;
If it is determined that there are smoking movement, then to be commented based on intelligent tobacco control formula the quality of tobacco of target cigarette
Valence;
If the quality of tobacco of target cigarette is lower than preset threshold, user is reminded to stop smoking;
Wherein, intelligent tobacco control formula obtains in the following manner: obtaining a variety of chemical index of sample tobacco leaf;According to every kind
The relative coefficient of the chemical index and sensory quality assessment score value screens a variety of chemical index, is changed
Study a point evaluation index;Corresponding fitting score function is established to chemical component evaluation index described in every kind, is obtained corresponding quasi-
Close score value;According to the relative coefficient of the fitting score value and sensory evaluation score value, to Chemical Evaluation target setting described in every kind
Corresponding weighted value obtains intelligent tobacco control formula by weighted summation.
2. the method according to claim 1, wherein the chemical index includes: chemical component index and chemistry
Ingredient derives index;
Correspondingly, a variety of chemical index for obtaining tobacco leaf, comprising:
The near infrared spectrum data for obtaining tobacco leaf, constructs the near-infrared quantitative math-model of the near infrared spectrum data;
By the near-infrared quantitative math-model, calculates and obtain a variety of chemical component indexs;
According to the chemical component index, calculates and obtain a variety of chemical derivatization indexs.
3. according to the method described in claim 2, it is characterized in that, also being wrapped after the near infrared spectrum data for obtaining tobacco leaf
It includes:
The near infrared spectrum data is pre-processed using derivation and smoothing processing.
4. according to the method described in claim 2, it is characterized in that, the spectral region of the near infrared spectrum data be 4000~
8000cm。
5. according to the method described in claim 2, it is characterized in that, the chemical component index, comprising: total reducing sugar, total nitrogen, cigarette
Alkali, total potassium and total chlorine.
6. according to the method described in claim 2, it is characterized in that, the chemical derivatization index, comprising: sugared nitrogen ratio, nitrogen base ratio,
Potassium chlorine ratio.
7. the method according to claim 1, wherein according to chemical index described in every kind and sensory quality assessment point
The relative coefficient of value screens a variety of chemical index, obtains chemical component evaluation index, comprising:
Sensory quality assessment score value and the chemical index are fitted by linear function fit method, obtain corresponding phase
Property coefficient is closed, the chemical index is screened according to the relative coefficient, wherein relative coefficient is selected and reaches setting
The chemical index of threshold value is as chemical component evaluation index.
8. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that the processor is realized when executing described program such as any one of claim 1 to 7 the method
Step.
9. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer journey
It is realized when sequence is executed by processor such as the step of any one of claim 1 to 7 the method.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910026598.4A CN109744580B (en) | 2019-01-11 | 2019-01-11 | Intelligent smoking control method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910026598.4A CN109744580B (en) | 2019-01-11 | 2019-01-11 | Intelligent smoking control method and device |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109744580A true CN109744580A (en) | 2019-05-14 |
CN109744580B CN109744580B (en) | 2021-06-15 |
Family
ID=66404578
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910026598.4A Expired - Fee Related CN109744580B (en) | 2019-01-11 | 2019-01-11 | Intelligent smoking control method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109744580B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110089778A (en) * | 2019-05-31 | 2019-08-06 | 合肥微纳传感技术有限公司 | A kind of electronic cigarette atomizing chip and electronic cigarette |
WO2021248991A1 (en) * | 2020-06-08 | 2021-12-16 | 深圳市康泓威科技有限公司 | Method for detecting and controlling harmful substances in solution to be atomized in electronic atomization device, and electronic atomization device for implementing method |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
SU1396055A1 (en) * | 1984-10-05 | 1988-05-15 | Краснодарский политехнический институт | Device for testing the quality of initial tobacco materials |
CN104000302A (en) * | 2014-06-17 | 2014-08-27 | 云南中烟工业有限责任公司 | Electronic cigarette liquid and quality detecting method thereof |
CN104063599A (en) * | 2014-06-26 | 2014-09-24 | 江苏中烟工业有限责任公司 | Index screening and processing method for evaluating quality of tobacco leaves |
EP2813150A1 (en) * | 2013-06-10 | 2014-12-17 | Philip Morris Products S.A. | Filter quality control device |
CN204483026U (en) * | 2015-03-04 | 2015-07-22 | 云南中烟工业有限责任公司 | A kind of electronic cigarette smoking set |
CN205017611U (en) * | 2015-06-15 | 2016-02-03 | 深圳葆威道科技有限公司 | Temperature control system of electron cigarette heat -generating body |
CN105431059A (en) * | 2014-07-14 | 2016-03-23 | 惠州市吉瑞科技有限公司 | Cigarette smoking control method, cigarette smoking control circuit, and electronic cigarette |
EP2975955B1 (en) * | 2013-08-13 | 2017-06-14 | Philip Morris Products S.a.s. | Smoking article with dual heat-conducting elements and improved airflow |
CN107708455A (en) * | 2015-08-14 | 2018-02-16 | 菲利普莫里斯生产公司 | Electrically operated smoking apparatus comprising the system for the smoking product in identification device |
CN108338414A (en) * | 2017-01-25 | 2018-07-31 | 贵州中烟工业有限责任公司 | Control method, the control system of electrically heated cigarette smoking system |
-
2019
- 2019-01-11 CN CN201910026598.4A patent/CN109744580B/en not_active Expired - Fee Related
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
SU1396055A1 (en) * | 1984-10-05 | 1988-05-15 | Краснодарский политехнический институт | Device for testing the quality of initial tobacco materials |
EP2813150A1 (en) * | 2013-06-10 | 2014-12-17 | Philip Morris Products S.A. | Filter quality control device |
EP2975955B1 (en) * | 2013-08-13 | 2017-06-14 | Philip Morris Products S.a.s. | Smoking article with dual heat-conducting elements and improved airflow |
CN104000302A (en) * | 2014-06-17 | 2014-08-27 | 云南中烟工业有限责任公司 | Electronic cigarette liquid and quality detecting method thereof |
CN104063599A (en) * | 2014-06-26 | 2014-09-24 | 江苏中烟工业有限责任公司 | Index screening and processing method for evaluating quality of tobacco leaves |
CN105431059A (en) * | 2014-07-14 | 2016-03-23 | 惠州市吉瑞科技有限公司 | Cigarette smoking control method, cigarette smoking control circuit, and electronic cigarette |
CN204483026U (en) * | 2015-03-04 | 2015-07-22 | 云南中烟工业有限责任公司 | A kind of electronic cigarette smoking set |
CN205017611U (en) * | 2015-06-15 | 2016-02-03 | 深圳葆威道科技有限公司 | Temperature control system of electron cigarette heat -generating body |
CN107708455A (en) * | 2015-08-14 | 2018-02-16 | 菲利普莫里斯生产公司 | Electrically operated smoking apparatus comprising the system for the smoking product in identification device |
CN108338414A (en) * | 2017-01-25 | 2018-07-31 | 贵州中烟工业有限责任公司 | Control method, the control system of electrically heated cigarette smoking system |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110089778A (en) * | 2019-05-31 | 2019-08-06 | 合肥微纳传感技术有限公司 | A kind of electronic cigarette atomizing chip and electronic cigarette |
WO2021248991A1 (en) * | 2020-06-08 | 2021-12-16 | 深圳市康泓威科技有限公司 | Method for detecting and controlling harmful substances in solution to be atomized in electronic atomization device, and electronic atomization device for implementing method |
Also Published As
Publication number | Publication date |
---|---|
CN109744580B (en) | 2021-06-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Nasution et al. | Polak-Ribiere updates analysis with binary and linear function in determining coffee exports in Indonesia | |
Pereira et al. | Predicting the ripening of papaya fruit with digital imaging and random forests | |
Jiang et al. | A fully convolutional neural network-based regression approach for effective chemical composition analysis using near-infrared spectroscopy in cloud | |
Smith et al. | Convergent evolution of floral shape tied to pollinator shifts in Iochrominae (Solanaceae) | |
CA2760817C (en) | Inverse modeling for characteristic prediction from multi-spectral and hyper-spectral remote sensed datasets | |
CN104914720B (en) | Electronic nose intelligence baking control system and control method with autolearn feature | |
Alewijn et al. | Validation of multivariate classification methods using analytical fingerprints–concept and case study on organic feed for laying hens | |
CN104990895B (en) | A kind of near infrared spectrum signal standards normal state bearing calibration based on regional area | |
RU2014116255A (en) | CHEMOMETRICS FOR THE SPECTRAL ANALYSIS OF THE NEAR INFRARED RANGE | |
CN109298139A (en) | Quality of tobacco evaluation method and device | |
CN106295801B (en) | A kind of tealeaves storage time classification method based on drosophila algorithm optimization generalized regression nerve networks algorithm | |
CN109744580A (en) | Intelligent tobacco control method and device | |
CN107796782A (en) | Redrying quality stability evaluation method based on tobacco leaf characteristic spectrum consistency metric | |
CN106529584A (en) | Flue-cured tobacco aroma type and quality judgment intelligent evaluation method | |
McGrath et al. | The potential of handheld near infrared spectroscopy to detect food adulteration: Results of a global, multi-instrument inter-laboratory study | |
Ingebrethsen et al. | Coagulation of mainstream cigarette smoke in the mouth during puffing and inhalation | |
Xiang et al. | Deep learning and hyperspectral images based tomato soluble solids content and firmness estimation | |
CN111912793A (en) | Method for measuring cadmium content in tobacco by hyperspectral and establishment of prediction model | |
CN103868957B (en) | A kind of method evaluating beating and double roasting operation sheet cigarette organoleptic quality stability | |
Fu et al. | Nondestructive evaluation of Zn content in rape leaves using MSSAE and hyperspectral imaging | |
CN102680427A (en) | Method for identifying surface fragrance quality of cigarettes by near infrared spectral analysis technology | |
CN105205333A (en) | Method for designing tobacco formula | |
Torres et al. | Routine NIRS analysis methodology to predict quality and safety indexes in spinach plants during their growing season in the field | |
CN106568722A (en) | Spectrum technology-based facility cucumber disease early warning method, and device | |
Li et al. | Non-destructive detection of protein content in mulberry leaves by using hyperspectral imaging |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20210615 Termination date: 20220111 |
|
CF01 | Termination of patent right due to non-payment of annual fee |