CN108982782A - Food spoilage detection method, device, mobile terminal and storage medium - Google Patents
Food spoilage detection method, device, mobile terminal and storage medium Download PDFInfo
- Publication number
- CN108982782A CN108982782A CN201810669047.5A CN201810669047A CN108982782A CN 108982782 A CN108982782 A CN 108982782A CN 201810669047 A CN201810669047 A CN 201810669047A CN 108982782 A CN108982782 A CN 108982782A
- Authority
- CN
- China
- Prior art keywords
- food
- current
- rotten
- detected
- parameter
- 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
- 238000001514 detection method Methods 0.000 title claims abstract description 47
- 238000000034 method Methods 0.000 claims abstract description 10
- 238000002372 labelling Methods 0.000 claims description 15
- 238000004140 cleaning Methods 0.000 claims description 10
- 230000000505 pernicious effect Effects 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 5
- 230000005540 biological transmission Effects 0.000 claims description 3
- 239000007789 gas Substances 0.000 description 44
- 238000010586 diagram Methods 0.000 description 5
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 description 4
- 239000002699 waste material Substances 0.000 description 4
- VGGSQFUCUMXWEO-UHFFFAOYSA-N Ethene Chemical compound C=C VGGSQFUCUMXWEO-UHFFFAOYSA-N 0.000 description 2
- 239000005977 Ethylene Substances 0.000 description 2
- 229910021529 ammonia Inorganic materials 0.000 description 2
- 238000005260 corrosion Methods 0.000 description 2
- 230000007797 corrosion Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/02—Food
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
- F25D29/003—Arrangement or mounting of control or safety devices for movable devices
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2500/00—Problems to be solved
- F25D2500/04—Calculation of parameters
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D2500/00—Problems to be solved
- F25D2500/06—Stock management
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Food Science & Technology (AREA)
- Pathology (AREA)
- Immunology (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Mechanical Engineering (AREA)
- Combustion & Propulsion (AREA)
- General Engineering & Computer Science (AREA)
- Thermal Sciences (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Medicinal Chemistry (AREA)
- Cold Air Circulating Systems And Constructional Details In Refrigerators (AREA)
Abstract
The present invention provides a kind of food spoilage detection method, device, mobile terminal and storage mediums, method includes: the current quality parameter for obtaining food to be detected in refrigerator, and current quality parameter includes at least one of smell parameter, weight parameter or image parameter;Rotten judgement is carried out to food to be detected according to current quality parameter, to obtain current metamorphic rank, current metamorphic rank is used to describe the degree of metamorphism of food to be detected;When current metamorphic rank is greater than metamorphic rank threshold value, issue rotten alarm, the present invention is obtained by current quality parameter, to carry out the rotten judgement of food to be detected automatically, and then the detection that food spoilage is carried out by smell or vision without user's active, effectively raise detection efficiency, and it prevents and detects mistake as caused by user's subjective judgement, improve user experience, and pass through the design of rotten alarm, rotten prompt timely can be carried out to user, further improve the experience of user.
Description
Technical field
The present invention relates to technical field of food detection, in particular to a kind of food spoilage detection method, device, mobile terminal
And storage medium.
Background technique
Refrigerator experienced the history of decades from invention so far, and present refrigerator memory space is increasing, store function
More and more, user is when using refrigerator, it will usually the fresh food of numerous categories is stored in refrigerator.It is following in this way
Problem is that many users can often forget about the shelf-life for being placed on various food in refrigerator, often waits until that discovery food is seriously corrupt
It is late when being found, it cannot eat.The discarding waste of spoiled food is not only caused, while the food of corruption is distributed
The gases such as ethylene, ammonia out also accelerate the corruption of other food in cabin, lead to bigger waste.
Existing food spoilage detection method is to be to carry out food by the smell judgement and visual determination of user's subjectivity
No rotten judgement since need user's active carries out rotten judgement, and then leads to that user's is cumbersome, reduces use
Family experience.
Summary of the invention
Based on this, the embodiment of the present invention is designed to provide a kind of automatic food spoilage inspection for carrying out food spoilage judgement
Survey method, apparatus, mobile terminal and storage medium.
In a first aspect, the present invention provides a kind of food spoilage detection methods, which comprises
The current quality parameter of food to be detected in refrigerator is obtained, the current quality parameter includes smell parameter, weight
At least one of parameter or image parameter;
Rotten judgement is carried out to the food to be detected according to the current quality parameter, to obtain current metamorphic rank,
The current metamorphic rank is used to describe the degree of metamorphism of the food to be detected;
When the current metamorphic rank is greater than metamorphic rank threshold value, rotten alarm is issued.
Above-mentioned food spoilage detection method, is obtained by the current quality parameter, to carry out the food to be detected automatically
The rotten judgement of product, and then the detection that food spoilage is carried out by smell or vision without user's active, effectively raise
Detection efficiency, and prevent and detect mistake as caused by user's subjective judgement, user experience is improved, and pass through rotten alarm
Design, rotten prompt timely can be carried out to user, further improve the experience of user.
Further, described that rotten the step of determining packet is carried out to the food to be detected according to the current quality parameter
It includes:
Obtain the current gas concentration value of smell parameter described in the current quality parameter;
When determining the current gas concentration value and being not within the scope of the default density, by the food mark to be detected
It is denoted as and slightly goes bad, the metamorphic rank slightly to go bad is greater than the metamorphic rank threshold value;
Obtain the current weight value of weight parameter described in the current quality parameter;
When determining the current weight value and being not within the scope of preset weight value, the change of the food to be detected is promoted
Matter label, it is described it is slight rotten be elevated after for moderate it is rotten;
The current rgb value of image parameter described in the current quality parameter is obtained, the current rgb value is described image
In parameter in predeterminable area image color average value;
When determining the current rgb value and being not within the scope of default rgb value, the rotten of the food to be detected is promoted
Label, the moderate is rotten be elevated after for severe it is rotten.
Further, described the step of issuing rotten alarm, includes:
Obtain the food information and the current metamorphic rank of the food to be detected respectively, and by the food information and
The current qualitative change grade shown on the refrigerator, and the food information includes food name and food location information,
The food location information is position coordinates of the food to be detected in the refrigerator;
The target mobile phones number being locally stored are obtained, and by the current metamorphic rank and the food information with short message mode
It is sent to the target mobile phones number.
Further, after described the step of issuing rotten alarm, the method also includes;
After determining cleaning of the completion to the food to be detected, the odiferous information in the refrigerator is obtained, and judge
It whether there is pernicious gas in the odiferous information;
If so, carrying out air cleaning processing to the refrigerator.
Further, described that rotten the step of determining is carried out also to the food to be detected according to the current quality parameter
Include:
The existing concentration difference between current gas concentration value and the default density range is obtained, and works as and determines institute
It is directly that the severe goes bad by the food labeling to be detected when stating the absolute value of existing concentration difference greater than concentration threshold;
The current weight difference between the current weight value and the preset weight value range is obtained, and works as and determines institute
It is directly that the severe goes bad by the food labeling to be detected when stating the absolute value of current weight difference greater than weight threshold;
The current color difference between current rgb value and the default rgb value range is obtained, and described current when determining
It is directly that the severe goes bad by the food labeling to be detected when the absolute value of color difference is greater than color threshold value.
Second aspect, the present invention provides a kind of food spoilage detection devices, comprising:
Module is obtained, for obtaining the current quality parameter of food to be detected in refrigerator, the current quality parameter includes
At least one of smell parameter, weight parameter or image parameter;
Determination module, for carrying out rotten judgement to the food to be detected according to the current quality parameter, to obtain
Current metamorphic rank, the current metamorphic rank are used to describe the degree of metamorphism of the food to be detected;
Alarm module, for issuing rotten alarm when the current metamorphic rank is greater than metamorphic rank threshold value.
Above-mentioned food spoilage detection device obtains the current quality parameter by the acquisition module, effective to protect
Hinder the accuracy of rotten judgement of the determination module to the food to be detected, and then passes through smell without user's active
Or vision carries out the detection of food spoilage, effectively raises detection efficiency, and prevent as caused by user's subjective judgement
Mistake is detected, user experience, and the design sent by alarm module mesometamorphism alarm are improved, it can be timely to user
Rotten prompt is carried out, the experience of user is further improved.
Further, the determination module includes:
First acquisition unit, for obtaining the current gas concentration value of smell parameter described in the current quality parameter;
First mark module, for the acquisition according to the first acquisition unit as a result, when determining the current gas
When concentration value is not within the scope of the default density, be by the food labeling to be detected it is slight rotten, it is described slightly rotten
Metamorphic rank is greater than the metamorphic rank threshold value;
Second acquisition unit, for obtaining the current weight value of weight parameter described in the current quality parameter;
Second marking unit, for the acquisition according to the second acquisition unit as a result, when determining the current weight
When value is not within the scope of preset weight value, promote the rotten label of the food to be detected, it is described it is slight it is rotten be elevated after
It is rotten for moderate;
Third acquiring unit, it is described to work as obtaining the current rgb value of image parameter described in the current quality parameter
Preceding rgb value is the average value of image color in predeterminable area in described image parameter;
Third marking unit, for the acquisition according to the third acquiring unit as a result, when determining the current rgb value
When being not within the scope of default rgb value, promote the rotten label of the food to be detected, the moderate is rotten be elevated after attach most importance to
Degree is rotten.
Further, the alarm module includes:
Display unit, for obtaining the food information and the current metamorphic rank of the food to be detected respectively, and will
The food information and the current qualitative change grade shown on the refrigerator, the food information include food name and
Food location information, the food location information are position coordinates of the food to be detected in the refrigerator;
Short message transmission unit, for obtaining the target mobile phones number being locally stored, and by the current metamorphic rank and described
Food information is sent to the target mobile phones number with short message mode.
The third aspect, the present invention provides a kind of mobile terminal, including memory and processor, the memory is used for
Computer program is stored, the processor runs the computer program so that the above-mentioned food spoilage of the mobile terminal execution
Detection method.
Fourth aspect, the present invention provides a kind of storage mediums, are stored thereon with meter used in above-mentioned mobile terminal
Calculation machine program.
Detailed description of the invention
Fig. 1 is the flow chart for the food spoilage detection method that first embodiment of the invention provides;
Fig. 2 is the flow chart for the food spoilage detection method that second embodiment of the invention provides;
Fig. 3 is the structural schematic diagram for the food spoilage detection device that third embodiment of the invention provides.
Specific embodiment
For the ease of more fully understanding the present invention, the present invention is carried out further below in conjunction with related embodiment attached drawing
It explains.The embodiment of the present invention is given in attached drawing, but the present invention is not limited in above-mentioned preferred embodiment.On the contrary, providing
The purpose of these embodiments be in order to make disclosure of the invention face more sufficiently.
The embodiment of the present invention is directed to a kind of food spoilage detection method, sentences applied in refrigerator to the rotten of food
It is fixed.Specifically, user is when using refrigerator, it will usually store the fresh food of numerous categories in refrigerator.It is following in this way
The problem of be that many users can often forget about the shelf-life for being placed on various food in refrigerator, often wait until discovery food it is seriously rotten
It loses when being found, it is late, it cannot eat.The discarding waste of spoiled food is not only caused, while the food of corruption dissipates
The gases such as ethylene, the ammonia of sending also accelerate the corruption of other food in cabin, lead to bigger waste, and existing food
Rotten detection method is smell judgement and visual determination by user's subjectivity to carry out the judgement whether food goes bad, due to needing
That wants user's active carries out rotten judgement, and then leads to that user's is cumbersome, reduces user experience.
In order to solve above-mentioned technical problem existing for existing food spoilage detection method, the embodiment of the present invention is intended to by certainly
The dynamic current quality parameter for obtaining food to be detected, and be based on analyzing to determine whether food to be detected is sent out current quality parameter
Change matter, and when determining to occur rotten to food to be detected, issues rotten alarm to prompt user, and then subjective without user
Progress food spoilage judgement, effectively raise the experience of user.
Referring to Fig. 1, the flow chart of the food spoilage detection method provided for first embodiment of the invention, including step
S10 to S30.
Step S10 obtains the current quality parameter of food to be detected in refrigerator;
Wherein, the current quality parameter includes at least one of smell parameter, weight parameter or image parameter, due to
In metamorphic process, smell, weight or color color can change food, therefore by smell parameter, again in the present invention
The variation of parameter or image parameter is measured to carry out the judgement whether food goes bad, so that being not necessarily to the carry out food of user's active
Smell or vision determine, to improve the experience of user.
Specifically, smell parameter described in the present embodiment is obtained by VOC gas detection module, it is described to have ensured
The accuracy that smell parameter obtains, the weight parameter are obtained by weight sensor, and described image parameter passes through camera shooting
Head carries out image taking and is obtained.
Step S20 carries out rotten judgement to the food to be detected according to the current quality parameter, currently to be become
Matter grade, the current metamorphic rank are used to describe the degree of metamorphism of the food to be detected;
Specifically, passing through the current quality parameter that will acquire and the rotten parameter list being locally stored in the present embodiment
It compares, to carry out the judgement of metamorphic rank, varieties of food items is previously stored in the rotten parameter list and is occurred after going bad
Gas concentration variation, the variation of food own wt or the food of generation after going bad occur for various parameters information, such as food
Itself is due to color change caused by corroding.
Step S30 issues rotten alarm when the current metamorphic rank is greater than metamorphic rank threshold value;
Wherein, since the current metamorphic rank is used to describe the degree of metamorphism of the food to be detected, this implementation
Judged in example by the size of the current metamorphic rank and the metamorphic rank threshold value, to determine whether to carry out rotten alarm,
The metamorphic rank threshold value is the pre-set degree of metamorphism parameter of user.
Specifically, the alarm of the present embodiment mesometamorphism can be sent based on the mode of SMS, i.e., it is described when determining to work as
When current metamorphic rank is greater than the metamorphic rank threshold value, short message is sent to the pre-stored target mobile phones number of user, with prompt
The food to be detected has occurred rotten in user's refrigerator.
Preferably, four grades are distinguished to the judgement of the metamorphic rank of food in the present embodiment, do not go bad respectively,
Slight rotten, moderate goes bad and severe goes bad (rotten), in which:
Slightly go bad as gas concentration: arm's length standard concentration < voc concentration < X%, weight: between a~b, camera shooting: chromaticity diagram
As variation degree;
Moderate goes bad as gas concentration: X% < voc concentration < Y%, weight: between c~d, camera shooting: color image changes journey
Degree;
Severe goes bad as gas concentration: voc concentration > Y%, weight: between e~f, camera shooting: color image variation degree;
In foregoing description, arm's length standard concentration, X%, Y%, a, b, c, d, e, f and color image variation degree are by user
It is configured in advance, in addition, can also be carried out by the different rank of the food to be detected in the present embodiment different
Alarm, so as to facilitate understanding of the user intuitively to food spoilage state to be detected.
It in the present embodiment, is obtained by the current quality parameter, is sentenced with carrying out the rotten of food to be detected automatically
It is fixed, and then the detection that food spoilage is carried out by smell or vision without user's active, detection efficiency is effectively raised, and
Prevent and detect mistake as caused by user's subjective judgement, improve user experience, and by the design of rotten alarm, can and
When rotten prompt is carried out to user, further improve the experience of user.
Referring to Fig. 2, the flow chart of the food spoilage detection method provided for second embodiment of the invention, the method packet
Include step S11 to S81.
Step S11 obtains the current quality parameter of food to be detected in refrigerator;
Wherein, the current quality parameter includes at least one of smell parameter, weight parameter or image parameter, due to
In metamorphic process, smell, weight or color color can change food, therefore by smell parameter, again in the present invention
The variation of parameter or image parameter is measured to carry out the judgement whether food goes bad, so that being not necessarily to the carry out food of user's active
Smell or vision determine, to improve the experience of user.
Specifically, smell parameter described in the present embodiment is obtained by VOC gas detection module, it is described to have ensured
The accuracy that smell parameter obtains, the weight parameter are obtained by weight sensor, and described image parameter passes through camera shooting
Head carries out image taking and is obtained;
Step S21 obtains the current gas concentration value of smell parameter described in the current quality parameter, and works as and determine
It is slight rotten by the food labeling to be detected when the current gas concentration value is not within the scope of the default density;
Wherein, the slightly rotten metamorphic rank is greater than the metamorphic rank threshold value, to described to be checked in the present embodiment
Storage is marked in the rotten label for surveying food by the way of numeric indicia, i.e., the mark value of the described metamorphic rank threshold value is 0,
The corresponding numeric indicia that slightly goes bad is 1, and then effectively facilitates the subsequent degree of metamorphism to the food to be detected
Statement so that user intuitively carries out the understanding of degree of metamorphism to the food to be detected;
Specifically, passing through the current quality parameter that will acquire and the rotten parameter list being locally stored in the present embodiment
It compares, to carry out the judgement of metamorphic rank, varieties of food items is previously stored in the rotten parameter list and is occurred after going bad
Gas concentration variation, the variation of food own wt or the food of generation after going bad occur for various parameters information, such as food
Itself is due to color change caused by corroding.
In addition, it should be noted that, being in the default density when step S21 determines the current gas concentration value
When in range, then it is to the rotten label of the food to be detected, and do not go bad.
Step S31 obtains the current weight value of weight parameter described in the current quality parameter, and described when determining
When current weight value is not within the scope of preset weight value, the rotten label of the food to be detected is promoted;
Wherein, it is described it is slight rotten be elevated after it is rotten for moderate, the moderate corresponding numeric indicia that goes bad is 2;
Specifically, be not within the scope of the default density when step S21 determines the current gas concentration value, and
Step S31 determines the current weight value when being not within the scope of the preset weight value, will be to the food to be detected
Rotten label is adjusted to 2, i.e., the described at this time food to be detected is rotten for moderate;
It is within the scope of the default density when step S21 determines the current gas concentration value, and step S31 sentences
Break to the current weight value when being not within the scope of the preset weight value, by the rotten label tune to the food to be detected
Section is 1, i.e., the described at this time food to be detected is slight rotten;
It is within the scope of the default density when step S21 determines the current gas concentration value, and step S31 sentences
Break to the current weight value when being within the scope of the preset weight value, appointing to the rotten label of the food to be detected is 0.
Step S41 obtains the current rgb value of image parameter described in the current quality parameter, and described when determining
When current rgb value is not within the scope of default rgb value, the rotten label of the food to be detected is promoted;
Wherein, the current rgb value is the average value of image color in predeterminable area in described image parameter, the moderate
Go bad rotten for severe after being elevated, the rotten label of the severe is 3;
Specifically, being not within the scope of the default density when step S21 determines the current gas concentration value, walk
Rapid S31 determines the current weight value and is not within the scope of the preset weight value, and step S41 determine it is described current
When rgb value is not within the scope of default rgb value, 3 will be adjusted to the rotten label of the food to be detected, i.e., it is described at this time to
It is rotten for severe to detect food;
It is within the scope of the default density when step S21 determines the current gas concentration value, step S31 judgement
It is not within the scope of the preset weight value to the current weight value, and step S41 determines the current rgb value and is not in
When within the scope of default rgb value, 2 will be adjusted to the rotten label of the food to be detected, i.e., the described at this time food to be detected is
Moderate is rotten;
It is not within the scope of the default density when step S21 determines the current gas concentration value, step S31 sentences
Break to the current weight value and be within the scope of the preset weight value, and step S41 determines the current rgb value and is not in
When within the scope of default rgb value, 2 will be adjusted to the rotten label of the food to be detected, i.e., the described at this time food to be detected is
Moderate is rotten;
It should be understood that only one step determines numerical value to be judged when in step S21, step S31 and step S41
It is then at this time slight rotten to the food to be detected when in preset range.
In addition, distinguishing four grades to the judgement of the metamorphic rank of food in the present embodiment, do not go bad respectively, gently
Degree is rotten, moderate is rotten and severe goes bad (rotten), in which:
Slightly go bad as gas concentration: arm's length standard concentration < voc concentration < X%, weight: between a~b, camera shooting: chromaticity diagram
As variation degree;
Moderate goes bad as gas concentration: X% < voc concentration < Y%, weight: between c~d, camera shooting: color image changes journey
Degree;
Severe goes bad as gas concentration: voc concentration > Y%, weight: between e~f, camera shooting: color image variation degree;
In foregoing description, arm's length standard concentration, X%, Y%, a, b, c, d, e, f and color image variation degree are by user
It is configured in advance.
Preferably, the step of step S21 is between step S41 further include:
The existing concentration difference between current gas concentration value and the default density range is obtained, and works as and determines institute
It is directly that the severe goes bad by the food labeling to be detected when stating the absolute value of existing concentration difference greater than concentration threshold;
The current weight difference between the current weight value and the preset weight value range is obtained, and works as and determines institute
It is directly that the severe goes bad by the food labeling to be detected when stating the absolute value of current weight difference greater than weight threshold;
The current color difference between current rgb value and the default rgb value range is obtained, and described current when determining
It is directly that the severe goes bad by the food labeling to be detected when the absolute value of color difference is greater than color threshold value.
Step S51 obtains the labeled current metamorphic rank of the food to be detected, and when the current metamorphic rank is big
When metamorphic rank threshold value, the food information of the food to be detected is obtained;
Wherein, the food information includes food name and food location information, the food location information be it is described to
Detect position coordinates of the food in the refrigerator.
Step S61 shows the food information and the current qualitative change grade on the refrigerator, and obtains this
The target mobile phones number of ground storage, are sent to the target hand for the current metamorphic rank and the food information with short message mode
Machine number;
Specifically, being set by show the food information and the current qualitative change grade on the refrigerator
Meter, and then user can be facilitated to food intuitively by showing that it is rotten that the food of text prompt user corresponding region has occurred
The understanding of state improves user experience, and by sending an SMS to target mobile phones number in the present embodiment, so as to timely remind
User clears up to corresponding to food in the refrigerator.
Preferably, image taking is also carried out to the food to be detected by camera in the present embodiment, and will be after shooting
Image is shown on the refrigerator, so as to which user is further intuitively facilitated to look into the food corrosion state to be detected
It sees.
Step S71 obtains the smell letter in the refrigerator after determining cleaning of the completion to the food to be detected
Breath, and judge in the odiferous information with the presence or absence of pernicious gas;
Wherein, the variation of picture is shot to judge whether user completes clearly the food to be detected by camera
Reason, preferably can also be by whether receive the cleaning completion instruction for the food to be detected, to judge to be in the step
To the cleaning of objective food described in no completion.Specifically, by the acquisition of the odiferous information in the step, to determine the ice
In case whether the growth of the pernicious gas as caused by the food spoilage to be detected.
When step S71 is determined in the odiferous information there are when pernicious gas, step S81 is executed.
Step S81 carries out air cleaning processing to the refrigerator;
Wherein, when step S71 determines that into the refrigerator, control starts the air to the refrigerator there are when pernicious gas
Purified treatment, to prevent corrosion or infringement of the pernicious gas to other food.
Preferably, it completes so to have detected peculiar smell or pernicious gas to the purified treatment successor of the refrigerator in the present embodiment
There are when, then reset that (General Influence normal concentration possible cause is refrigerator to standard air concentration value in the refrigerator
Fresh-keeping zone size or using the time it is related).
In the present embodiment, pass through the food situation of change three automatically according to gas concentration, weight change range and camera shooting
A dimension goes to differentiate whether the food to be detected goes bad, and then carries out food change by smell or vision without user's active
The detection of matter effectively raises detection efficiency, and prevents and detect mistake as caused by user's subjective judgement, improves use
Family experience, and by the design of rotten alarm, synchronous internet connect interaction with mobile phone, it will also be appreciated that the food materials feelings in refrigerator
Condition timely can carry out rotten prompt to user, further improve the experience of user.
Referring to Fig. 3, the structural schematic diagram of the food spoilage detection device provided for third embodiment of the invention, comprising:
Module 10 is obtained, for obtaining the current quality parameter of food to be detected in refrigerator, the current quality parameter packet
Include at least one of smell parameter, weight parameter or image parameter, wherein the current quality parameter include smell parameter,
At least one of weight parameter or image parameter, since food is in metamorphic process, smell, weight or color color can be sent out
Changing, therefore whether gone bad by the variation of smell parameter, weight parameter or image parameter with carrying out food in the present invention
Determine, so that the smell of the progress food without user's active or vision determine, to improve the experience of user.
Specifically, smell parameter described in the present embodiment is obtained by VOC gas detection module, it is described to have ensured
The accuracy that smell parameter obtains, the weight parameter are obtained by weight sensor, and described image parameter passes through camera shooting
Head carries out image taking and is obtained.
Determination module 20, for carrying out rotten judgement to the food to be detected according to the current quality parameter, with
To current metamorphic rank, the current metamorphic rank is used to describe the degree of metamorphism of the food to be detected, specifically, this implementation
It is compared by the current quality parameter that will acquire with the rotten parameter list being locally stored in example, it is rotten etc. to carry out
The judgement of grade, be previously stored in the rotten parameter list varieties of food items occur it is rotten after various parameters information, such as food
Gas concentration variation, the variation of food own wt or the food itself of the generation after going bad occurs due to color caused by corroding
Variation.
Alarm module 30, for issuing rotten alarm when the current metamorphic rank is greater than metamorphic rank threshold value, in,
Since the current metamorphic rank is used to describe the degree of metamorphism of the food to be detected, worked as in the present embodiment by described
The size of preceding metamorphic rank and the metamorphic rank threshold value judges, to determine whether to carry out rotten alarm, the metamorphic rank threshold
Value is the pre-set degree of metamorphism parameter of user.
Specifically, the alarm of the present embodiment mesometamorphism can be sent based on the mode of SMS, i.e., it is described when determining to work as
When current metamorphic rank is greater than the metamorphic rank threshold value, short message is sent to the pre-stored target mobile phones number of user, with prompt
The food to be detected has occurred rotten in user's refrigerator.
Preferably, four grades are distinguished to the judgement of the metamorphic rank of food in the present embodiment, do not go bad respectively,
Slight rotten, moderate goes bad and severe goes bad (rotten), in which:
Slightly go bad as gas concentration: arm's length standard concentration < voc concentration < X%, weight: between a~b, camera shooting: chromaticity diagram
As variation degree;
Moderate goes bad as gas concentration: X% < voc concentration < Y%, weight: between c~d, camera shooting: color image changes journey
Degree;
Severe goes bad as gas concentration: voc concentration > Y%, weight: between e~f, camera shooting: color image variation degree;
In foregoing description, arm's length standard concentration, X%, Y%, a, b, c, d, e, f and color image variation degree are by user
It is configured in advance, in addition, can also be carried out by the different rank of the food to be detected in the present embodiment different
Alarm, so as to facilitate understanding of the user intuitively to food spoilage state to be detected.
Judgment module 40, for obtaining in the refrigerator after determining cleaning of the completion to the food to be detected
Odiferous information, and judge in the odiferous information with the presence or absence of pernicious gas;If so, being carried out at air cleaning to the refrigerator
Reason.
Further, the determination module 20 includes:
First acquisition unit 21, for obtaining the current gas concentration of smell parameter described in the current quality parameter
Value;
First mark module 22, for the acquisition according to the first acquisition unit 21 as a result, described current when determining
It is slight rotten, the slight change by the food labeling to be detected when gas concentration value is not within the scope of the default density
The metamorphic rank of matter is greater than the metamorphic rank threshold value;
Second acquisition unit 23, for obtaining the current weight value of weight parameter described in the current quality parameter;
Second marking unit 24, for the acquisition according to the second acquisition unit 23 as a result, described current when determining
When weight value is not within the scope of preset weight value, the rotten label of the food to be detected is promoted, slight go bad is mentioned
It is rotten for moderate after rising;
Third acquiring unit 25, it is described for obtaining the current rgb value of image parameter described in the current quality parameter
Current rgb value is the average value of image color in predeterminable area in described image parameter;
Third marking unit 26, for the acquisition according to the third acquiring unit 25 as a result, described current when determining
When rgb value is not within the scope of default rgb value, the rotten label of the food to be detected is promoted, the moderate is rotten to be elevated
It is rotten for severe afterwards.
4th marking unit 27, it is current dense between current gas concentration value and the default density range for obtaining
Difference is spent, and when the absolute value for determining the existing concentration difference is greater than concentration threshold, directly by the food to be detected
It is rotten labeled as the severe;
5th marking unit 28, for obtaining the current weight between the current weight value and the preset weight value range
Difference is measured, and when the absolute value for determining the current weight difference is greater than weight threshold, directly by the food to be detected
It is rotten labeled as the severe;
6th marking unit 29, for obtaining the current color difference between current rgb value and the default rgb value range
Value, and when the absolute value for determining the current color difference is greater than color threshold value, directly by the food labeling to be detected
It is rotten for the severe.
Further, the alarm module 30 includes:
Display unit 31, for obtaining the food information and the current metamorphic rank of the food to be detected respectively, and
The food information and the current qualitative change grade are shown that the food information includes food name on the refrigerator
With food location information, the food location information is position coordinates of the food to be detected in the refrigerator;
Short message transmission unit 32, for obtaining the target mobile phones number being locally stored, and by the current metamorphic rank and institute
It states food information and the target mobile phones number is sent to short message mode.
Above-mentioned food spoilage detection device 100 obtains the current quality parameter by the acquisition module 10, effectively
The accuracy for having ensured rotten judgement of the determination module 20 to the food to be detected, and then without the logical of user's active
It crosses smell or vision carries out the detection of food spoilage, effectively raise detection efficiency, and prevent due to user's subjective judgement
Caused detection mistake improves user experience, and the design sent by 30 mesometamorphism of alarm module alarm, can be in time
Rotten prompt is carried out to user, further improve the experience of user.
The present embodiment additionally provides a kind of mobile terminal, including memory and processor, and the memory is for storing
Computer program, the processor run the computer program so that the mobile terminal execution it is above-mentioned food spoilage detection
Method.
The present embodiment additionally provides a kind of storage medium, is stored thereon with computer journey used in above-mentioned mobile terminal
Sequence, the program when being executed, include the following steps:
The current quality parameter of food to be detected in refrigerator is obtained, the current quality parameter includes smell parameter, weight
At least one of parameter or image parameter;
Rotten judgement is carried out to the food to be detected according to the current quality parameter, to obtain current metamorphic rank,
The current metamorphic rank is used to describe the degree of metamorphism of the food to be detected;
When the current metamorphic rank is greater than metamorphic rank threshold value, rotten alarm is issued.The storage medium, such as:
ROM/RAM, magnetic disk, CD etc..
Above embodiment described technical principles of the invention, and the description is merely to explain the principles of the invention, and
It cannot be construed to the limitation of the scope of the present invention in any way.Based on the explanation herein, those skilled in the art is not required to
Other specific embodiments of the invention can be associated by paying creative labor, these modes fall within of the invention
In protection scope.
Claims (10)
1. a kind of food spoilage detection method, which is characterized in that the described method includes:
The current quality parameter of food to be detected in refrigerator is obtained, the current quality parameter includes smell parameter, weight parameter
Or at least one of image parameter;
Rotten judgement is carried out to the food to be detected according to the current quality parameter, it is described to obtain current metamorphic rank
Current metamorphic rank is used to describe the degree of metamorphism of the food to be detected;
When the current metamorphic rank is greater than metamorphic rank threshold value, rotten alarm is issued.
2. food spoilage detection method according to claim 1, which is characterized in that described according to the current quality parameter
Carrying out rotten the step of determining to the food to be detected includes:
Obtain the current gas concentration value of smell parameter described in the current quality parameter;
When determining the current gas concentration value and being not within the scope of the default density, it is by the food labeling to be detected
Slight rotten, the metamorphic rank slightly to go bad is greater than the metamorphic rank threshold value;
Obtain the current weight value of weight parameter described in the current quality parameter;
When determining the current weight value and being not within the scope of preset weight value, the rotten mark of the food to be detected is promoted
Note, it is described it is slight rotten be elevated after for moderate it is rotten;
The current rgb value of image parameter described in the current quality parameter is obtained, the current rgb value is described image parameter
The average value of image color in middle predeterminable area;
When determining the current rgb value and being not within the scope of default rgb value, the rotten mark of the food to be detected is promoted
Note, the moderate is rotten be elevated after for severe it is rotten.
3. food spoilage detection method according to claim 1, which is characterized in that described the step of issuing rotten alarm wraps
It includes:
Obtain the food information and the current metamorphic rank of the food to be detected respectively, and by the food information and described
Current qualitative change grade shown on the refrigerator, and the food information includes food name and food location information, described
Food location information is position coordinates of the food to be detected in the refrigerator;
The target mobile phones number being locally stored are obtained, and the current metamorphic rank and the food information are sent with short message mode
To the target mobile phones number.
4. food spoilage detection method according to claim 1, which is characterized in that described the step of issuing rotten alarm it
Afterwards, the method also includes;
After determining cleaning of the completion to the food to be detected, the odiferous information in the refrigerator is obtained, and described in judgement
It whether there is pernicious gas in odiferous information;
If so, carrying out air cleaning processing to the refrigerator.
5. food spoilage detection method according to claim 2, which is characterized in that described according to the current quality parameter
Rotten the step of determining, is carried out to the food to be detected further include:
The existing concentration difference between current gas concentration value and the default density range is obtained, and works as and determines described work as
It is directly that the severe goes bad by the food labeling to be detected when the absolute value of preceding concentration difference is greater than concentration threshold;
The current weight difference between the current weight value and the preset weight value range is obtained, and works as and determines described work as
It is directly that the severe goes bad by the food labeling to be detected when the absolute value of preceding weight difference is greater than weight threshold;
The current color difference between current rgb value and the default rgb value range is obtained, and works as and determines the current color
It is directly that the severe goes bad by the food labeling to be detected when the absolute value of difference is greater than color threshold value.
6. a kind of food spoilage detection device characterized by comprising
Module is obtained, for obtaining the current quality parameter of food to be detected in refrigerator, the current quality parameter includes smell
At least one of parameter, weight parameter or image parameter;
Determination module, it is current to obtain for carrying out rotten judgement to the food to be detected according to the current quality parameter
Metamorphic rank, the current metamorphic rank are used to describe the degree of metamorphism of the food to be detected;
Alarm module, for issuing rotten alarm when the current metamorphic rank is greater than metamorphic rank threshold value.
7. food spoilage detection device according to claim 6, which is characterized in that the determination module includes:
First acquisition unit, for obtaining the current gas concentration value of smell parameter described in the current quality parameter;
First mark module, for the acquisition according to the first acquisition unit as a result, when determining the current gas concentration
When value is not within the scope of the default density, be by the food labeling to be detected it is slight rotten, it is described slightly rotten rotten
Grade is greater than the metamorphic rank threshold value;
Second acquisition unit, for obtaining the current weight value of weight parameter described in the current quality parameter;
Second marking unit, for the acquisition according to the second acquisition unit as a result, when determining the current weight value not
When within the scope of preset weight value, promote the rotten label of the food to be detected, it is described it is slight it is rotten be elevated after be
Degree is rotten;
Third acquiring unit, it is described current for obtaining the current rgb value of image parameter described in the current quality parameter
Rgb value is the average value of image color in predeterminable area in described image parameter;
Third marking unit, for the acquisition according to the third acquiring unit as a result, not locating when determining the current rgb value
When within the scope of default rgb value, promote the rotten label of the food to be detected, the moderate is rotten be elevated after become for severe
Matter.
8. food spoilage detection device according to claim 6, which is characterized in that the alarm module includes:
Display unit, for obtaining the food information and the current metamorphic rank of the food to be detected respectively, and will be described
Food information and the current qualitative change grade are shown that the food information includes food name and food on the refrigerator
Location information, the food location information are position coordinates of the food to be detected in the refrigerator;
Short message transmission unit, for obtaining the target mobile phones number being locally stored, and by the current metamorphic rank and the food
Information is sent to the target mobile phones number with short message mode.
9. a kind of mobile terminal, which is characterized in that including memory and processor, the memory is for storing computer journey
Sequence, the processor runs the computer program so that the mobile terminal execution is according to claim 1 to described in 5 any one
Food spoilage detection method.
10. a kind of storage medium, which is characterized in that it is stored with calculating used in mobile terminal as claimed in claim 9
Machine program.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810669047.5A CN108982782B (en) | 2018-06-26 | 2018-06-26 | Food deterioration detection method and device, mobile terminal and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810669047.5A CN108982782B (en) | 2018-06-26 | 2018-06-26 | Food deterioration detection method and device, mobile terminal and storage medium |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108982782A true CN108982782A (en) | 2018-12-11 |
CN108982782B CN108982782B (en) | 2021-03-02 |
Family
ID=64538285
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810669047.5A Active CN108982782B (en) | 2018-06-26 | 2018-06-26 | Food deterioration detection method and device, mobile terminal and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108982782B (en) |
Cited By (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109668852A (en) * | 2018-12-25 | 2019-04-23 | Oppo广东移动通信有限公司 | Electronic equipment, information-pushing method and Related product |
CN109780810A (en) * | 2018-12-24 | 2019-05-21 | 珠海格力电器股份有限公司 | A kind of determination method, apparatus, storage medium and the refrigerator of food situation |
CN109974387A (en) * | 2019-03-07 | 2019-07-05 | 青岛海尔电冰箱有限公司 | The illumination control method and refrigerator of refrigerator compartment |
CN110531687A (en) * | 2019-09-30 | 2019-12-03 | 震惶科技(成都)有限公司 | A kind of fresh-keeping mould group tele-control system based on Internet of Things |
CN111000448A (en) * | 2019-12-02 | 2020-04-14 | 珠海格力电器股份有限公司 | Food deterioration detection method and cooking utensil |
CN111260860A (en) * | 2020-01-21 | 2020-06-09 | 周华平 | Summer waterproof express delivery cabinet that prevents fruit to drench and rot |
CN111310586A (en) * | 2020-01-19 | 2020-06-19 | 合肥美的电冰箱有限公司 | Management method and management device for food in refrigerator and refrigerator |
CN111709913A (en) * | 2020-05-21 | 2020-09-25 | 四川虹美智能科技有限公司 | Method, device and system for detecting deteriorated food in refrigerator |
CN112016578A (en) * | 2019-05-30 | 2020-12-01 | 青岛海尔电冰箱有限公司 | Method and device for determining freshness grade of food materials in refrigerator |
CN112016358A (en) * | 2019-05-30 | 2020-12-01 | 青岛海尔电冰箱有限公司 | Method for determining freshness of food materials in refrigerator and computer storage medium |
CN112179038A (en) * | 2020-09-02 | 2021-01-05 | 四川虹美智能科技有限公司 | Intelligent refrigerator and food management method thereof |
CN112629143A (en) * | 2020-12-04 | 2021-04-09 | 武汉碗上好科技有限公司 | Refrigerator control method and refrigerator using same |
CN113156067A (en) * | 2020-01-22 | 2021-07-23 | 青岛海尔电冰箱有限公司 | Refrigerator dish management method, refrigerator and storage medium |
CN114486758A (en) * | 2022-01-24 | 2022-05-13 | 北京工商大学 | Residual food storage container with safety detection function and use method thereof |
CN115327052A (en) * | 2022-08-15 | 2022-11-11 | 广州市晨康贸易发展有限公司 | Fresh-keeping state detection method and system for transported fruits and vegetables |
CN116147278A (en) * | 2023-01-03 | 2023-05-23 | 珠海格力电器股份有限公司 | Method and device for monitoring freshness preservation of food materials in refrigerator and refrigerator |
CN116228772A (en) * | 2023-05-09 | 2023-06-06 | 聊城市检验检测中心 | Quick detection method and system for fresh food spoilage area |
CN116911698A (en) * | 2023-09-14 | 2023-10-20 | 通渭县食品药品检验检测中心 | Food and drug detection system |
CN117252523A (en) * | 2023-11-17 | 2023-12-19 | 山东海鲲数控设备有限公司 | Production line monitoring system and method |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103134267A (en) * | 2013-03-13 | 2013-06-05 | 合肥美菱股份有限公司 | Refrigerator with function of detecting food smells and detecting method thereof |
CN103530989A (en) * | 2013-10-29 | 2014-01-22 | 江苏物联网研究发展中心 | Alarm device for preventing food from deteriorating |
CN103823030A (en) * | 2014-02-25 | 2014-05-28 | 四川长虹电器股份有限公司 | Food spoilage detection method and refrigerator |
CN105279929A (en) * | 2015-10-30 | 2016-01-27 | 小米科技有限责任公司 | Method, device and terminal for prompting deteriorating items |
CN105444511A (en) * | 2014-08-29 | 2016-03-30 | 酷派软件技术(深圳)有限公司 | Intelligent temperature control method and device for refrigerator and refrigerator |
CN105513052A (en) * | 2015-11-26 | 2016-04-20 | 四川长虹电器股份有限公司 | Refrigerator food storage and deterioration information detection system and method |
CN106091559A (en) * | 2016-08-04 | 2016-11-09 | 合肥微纳传感技术有限公司 | A kind of intelligence food storage device, storage method and use the refrigerator of this device |
CN106568294A (en) * | 2016-10-14 | 2017-04-19 | 青岛海尔特种电冰箱有限公司 | Control method for refrigerator, and refrigerator |
CN106766662A (en) * | 2017-01-19 | 2017-05-31 | Tcl家用电器(合肥)有限公司 | Food materials monitoring management method and system in refrigerator |
CN107314609A (en) * | 2017-06-28 | 2017-11-03 | 青岛海尔智能技术研发有限公司 | food freshness detection method, device and refrigerator and detecting system |
CN107450467A (en) * | 2017-09-28 | 2017-12-08 | 杭州纳戒科技有限公司 | Box for material circulation monitoring system and logistics monitoring system |
-
2018
- 2018-06-26 CN CN201810669047.5A patent/CN108982782B/en active Active
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103134267A (en) * | 2013-03-13 | 2013-06-05 | 合肥美菱股份有限公司 | Refrigerator with function of detecting food smells and detecting method thereof |
CN103530989A (en) * | 2013-10-29 | 2014-01-22 | 江苏物联网研究发展中心 | Alarm device for preventing food from deteriorating |
CN103823030A (en) * | 2014-02-25 | 2014-05-28 | 四川长虹电器股份有限公司 | Food spoilage detection method and refrigerator |
CN105444511A (en) * | 2014-08-29 | 2016-03-30 | 酷派软件技术(深圳)有限公司 | Intelligent temperature control method and device for refrigerator and refrigerator |
CN105279929A (en) * | 2015-10-30 | 2016-01-27 | 小米科技有限责任公司 | Method, device and terminal for prompting deteriorating items |
CN105513052A (en) * | 2015-11-26 | 2016-04-20 | 四川长虹电器股份有限公司 | Refrigerator food storage and deterioration information detection system and method |
CN106091559A (en) * | 2016-08-04 | 2016-11-09 | 合肥微纳传感技术有限公司 | A kind of intelligence food storage device, storage method and use the refrigerator of this device |
CN106568294A (en) * | 2016-10-14 | 2017-04-19 | 青岛海尔特种电冰箱有限公司 | Control method for refrigerator, and refrigerator |
CN106766662A (en) * | 2017-01-19 | 2017-05-31 | Tcl家用电器(合肥)有限公司 | Food materials monitoring management method and system in refrigerator |
CN107314609A (en) * | 2017-06-28 | 2017-11-03 | 青岛海尔智能技术研发有限公司 | food freshness detection method, device and refrigerator and detecting system |
CN107450467A (en) * | 2017-09-28 | 2017-12-08 | 杭州纳戒科技有限公司 | Box for material circulation monitoring system and logistics monitoring system |
Cited By (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109780810A (en) * | 2018-12-24 | 2019-05-21 | 珠海格力电器股份有限公司 | A kind of determination method, apparatus, storage medium and the refrigerator of food situation |
CN109668852B (en) * | 2018-12-25 | 2021-11-02 | Oppo广东移动通信有限公司 | Electronic equipment, information pushing method and related product |
CN109668852A (en) * | 2018-12-25 | 2019-04-23 | Oppo广东移动通信有限公司 | Electronic equipment, information-pushing method and Related product |
CN109974387A (en) * | 2019-03-07 | 2019-07-05 | 青岛海尔电冰箱有限公司 | The illumination control method and refrigerator of refrigerator compartment |
CN112016578A (en) * | 2019-05-30 | 2020-12-01 | 青岛海尔电冰箱有限公司 | Method and device for determining freshness grade of food materials in refrigerator |
CN112016358A (en) * | 2019-05-30 | 2020-12-01 | 青岛海尔电冰箱有限公司 | Method for determining freshness of food materials in refrigerator and computer storage medium |
CN110531687A (en) * | 2019-09-30 | 2019-12-03 | 震惶科技(成都)有限公司 | A kind of fresh-keeping mould group tele-control system based on Internet of Things |
CN111000448A (en) * | 2019-12-02 | 2020-04-14 | 珠海格力电器股份有限公司 | Food deterioration detection method and cooking utensil |
CN111310586A (en) * | 2020-01-19 | 2020-06-19 | 合肥美的电冰箱有限公司 | Management method and management device for food in refrigerator and refrigerator |
CN111260860A (en) * | 2020-01-21 | 2020-06-09 | 周华平 | Summer waterproof express delivery cabinet that prevents fruit to drench and rot |
CN113156067A (en) * | 2020-01-22 | 2021-07-23 | 青岛海尔电冰箱有限公司 | Refrigerator dish management method, refrigerator and storage medium |
CN111709913A (en) * | 2020-05-21 | 2020-09-25 | 四川虹美智能科技有限公司 | Method, device and system for detecting deteriorated food in refrigerator |
CN111709913B (en) * | 2020-05-21 | 2023-04-18 | 四川虹美智能科技有限公司 | Method, device and system for detecting deteriorated food in refrigerator |
CN112179038A (en) * | 2020-09-02 | 2021-01-05 | 四川虹美智能科技有限公司 | Intelligent refrigerator and food management method thereof |
CN112629143A (en) * | 2020-12-04 | 2021-04-09 | 武汉碗上好科技有限公司 | Refrigerator control method and refrigerator using same |
CN114486758A (en) * | 2022-01-24 | 2022-05-13 | 北京工商大学 | Residual food storage container with safety detection function and use method thereof |
CN115327052A (en) * | 2022-08-15 | 2022-11-11 | 广州市晨康贸易发展有限公司 | Fresh-keeping state detection method and system for transported fruits and vegetables |
CN116147278A (en) * | 2023-01-03 | 2023-05-23 | 珠海格力电器股份有限公司 | Method and device for monitoring freshness preservation of food materials in refrigerator and refrigerator |
CN116228772A (en) * | 2023-05-09 | 2023-06-06 | 聊城市检验检测中心 | Quick detection method and system for fresh food spoilage area |
CN116911698A (en) * | 2023-09-14 | 2023-10-20 | 通渭县食品药品检验检测中心 | Food and drug detection system |
CN116911698B (en) * | 2023-09-14 | 2023-12-12 | 通渭县食品药品检验检测中心 | Food and drug detection system |
CN117252523A (en) * | 2023-11-17 | 2023-12-19 | 山东海鲲数控设备有限公司 | Production line monitoring system and method |
CN117252523B (en) * | 2023-11-17 | 2024-01-30 | 山东海鲲数控设备有限公司 | Production line monitoring system and method |
Also Published As
Publication number | Publication date |
---|---|
CN108982782B (en) | 2021-03-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108982782A (en) | Food spoilage detection method, device, mobile terminal and storage medium | |
US20070297557A1 (en) | Plant information processing system and plant information processing method | |
US10222884B2 (en) | Method and device for detecting defects in a pressing test of a touch screen | |
CN105141779B (en) | A kind of the sliding alarm method and device of mobile terminal | |
WO2022062775A1 (en) | Monitoring processing method and system based on vehicle terminal system, and related device | |
CN110555447A (en) | Fire detection method, fire detection device and storage medium | |
CN110738096A (en) | intelligent security inspection method, equipment and computer readable storage medium | |
TW200644145A (en) | Method and apparatus for inspecting marking of semiconductor package | |
JP2006214814A (en) | Inspection device and ptp packaging machine | |
CN115731208A (en) | High-precision defect detection method, device and equipment for metal complex surface and storage medium | |
CN111311598A (en) | Multi-view-angle-based fastener surface defect detection method and device | |
CN109451721B (en) | Patch detection device and method | |
CN110958736B (en) | Black light lamp operation method and device, black light lamp and storage medium | |
CN110459030A (en) | The detection method and device of fire | |
CN111309201A (en) | Multi-window display method for autonomous collision avoidance of autonomously driven ship | |
CN111738991A (en) | Method for creating digital ray detection model of weld defects | |
JP2018077147A (en) | Inspection system, method for controlling inspection device, and program | |
CN110966631A (en) | Safety detection method and device, range hood and medium | |
CN115014486A (en) | Detection method, device and equipment of fire extinguishing device and engineering vehicle | |
CN110687374B (en) | System and method for analyzing on-board detection data of cab signal on-board equipment | |
JP2011247715A (en) | X-ray inspection device | |
CN111046878B (en) | Data processing method and device, computer storage medium and computer | |
CN107169357A (en) | Early warning display processing method, device, storage medium and processor | |
CN108982780B (en) | Crop safety detection method and device and terminal | |
JP2008292189A (en) | Knowledge preparation support system |
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 | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20200311 Address after: 510530 Guangdong city of Guangzhou province YUNPU Whampoa district four Road No. 6 Applicant after: Guangzhou Shiyuan Electronic Technology Company Limited Address before: 510530 Guangdong city of Guangzhou province YUNPU Whampoa district four Road No. 6 Applicant before: Guangzhou Shiyuan Electronic Technology Company Limited Applicant before: GUANGZHOU RUIXIN ELECTRONICS Co.,Ltd. |
|
TA01 | Transfer of patent application right | ||
GR01 | Patent grant | ||
GR01 | Patent grant |