CN105547915A - Shell food freshness determination system based on density model and method of system - Google Patents
Shell food freshness determination system based on density model and method of system Download PDFInfo
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Abstract
The invention relates to the food field, in particular to a shell food freshness determination system based on a density model and a method of the system. A freshness weigher contains a two-dimensional code for software recognition, a groove for fixing food, a gradienter, a weighing disc for calculating the mass of the shell food and a positioning circle capable of estimating the size of the shell food. Freshness software (an APP, a wechat number, a microblog number and a cloude program) acquires an image through a phone camera under a normal daylight lamp (the illuminance is 100-160 Lux) and performs category recognition, mass recognition and size estimation of the shell food according to the acquired image. An automatic substituting and judging model has the advantage that intelligentilization, feedback real-time transformation and model control parameters can be updated in real time on the networking condition and is mainly used for real-time detection on the freshness of part of the shell food in daily life. Through resolving of the judging model set, a series of judging values and judging conclusions of the shell food freshness are obtained without needing to measure all specific indexes, and information is transmitted in real time. Judging results are judged through an indication interval with a certain confidence degree.
Description
Technical field
The present invention relates to field of food, particularly relate to freshness Analytical system and the method thereof of the duricrust based food of density based model.
Background technology
At present, in production, adopt Physiology and biochemistry to detect follow the trail of over time product, namely weight-loss ratio is passed through, protein-based, carbohydrate, fats physiological acoustic signals, the situation of change of the large nutrient of vitamins physiological acoustic signals etc. six, for detecting foundation, obtains the testing result of the freshness of FF.And in existing food freshness Analytical system, not by the freshness of preset model at mobile terminal automatic decision food.When using computing machine to be used for the automatic identification of food freshness, on judgment basis, model accuracy, food variety, food can there is series of problems in the aspect such as extraction of effective information, first the selection of judgment basis is still not clear, and namely uses which freshness index as judgment basis; Secondly model accuracy is poor, is badly in need of the model that structure accuracy is higher; Again, do not define the method and can judge which food; Finally, mobile device how is used effectively to extract effective information on food.
Summary of the invention
The object of invention: in order to provide a kind of freshness Analytical system and method thereof of duricrust based food of density based model of better effects if, specific purposes are shown in multiple substantial technological effects of concrete implementation section.
In order to reach as above object, the present invention takes following technical scheme:
The freshness Analytical system of the duricrust based food of density based model and method thereof, is characterized in that, comprise following steps,
Build the duricrust based food model of the classification of the multiple freshness indication index of density based model;
Consistent image input system is adopted to carry out image acquisition to duricrust based food;
Utilize Hooke's law to measure the quality of described food, utilize positioning centre localization method to measure the volume of described food;
And using weight and volume as original value, calculate the density of this duricrust based food;
Tentatively can judge the storage time of product according to the density of food, judge that whether food is fresh.
The further technical scheme of the present invention is, the duricrust based food of indication, refer to enclosure volume in elementary agricultural byproducts not extend with storage time and conspicuousness change (volume change difference significantly α <0.05) and quality (physical and chemical index of reflection freshness, the especially weightlessness that causes of moisture loss) do not occur extend with storage time and the food of conspicuousness change (physical and chemical index significant difference α >0.05) occurs.The duricrust based food of indication of the present invention includes but are not limited to the food of following classification.In duricrust based food, the food of plant source comprises two classes: a tree nut, comprises almond, green fruit, Ba Danmu, cashew nut, fibert, walnut, pine nut, Chinese chestnut, gingko, Chinese torreya nut, American pistachios, macadamia; Two is seeds, comprises peanut, sunflower seed, pumpkin seeds, watermelon seeds etc.In duricrust based food, zoogenous food comprises egg, duck's egg, goose egg, quail egg, wild goose egg, pigeon egg.
The further technical scheme of the present invention is, the duricrust based food model of the classification of described structure density based model refers to, based on basic type of goods, obtain the situation of change of density along with the change in storage time of this kind, duricrust based food due to outside be duricrust, therefore its outer shape can not be out of shape, but its water loss, therefore its density can be more and more less, and the storage time is longer, density is less, can know its output time and freshness according to this.
The further technical scheme of the present invention is, what is called judges that whether food is fresh, is the empirical data gathering a kind of duricrust based food, and formation density and storage time, as the experience table of reference, see that the scope that density falls into judges.
The further technical scheme of the present invention is, judge that whether food is fresh, gather a kind of different storage time data of duricrust based food and the physiological and biochemical index of correspondence thereof, physiology biochemical indicator and storage time are as the experience table of reference, thus by storage time connecting density and physiological and biochemical index, and then a kind of physiological and biochemical index of duricrust based food is estimated, see that the scope that its physiological and biochemical index falls into judges.
The further technical scheme of the present invention is, the consistent image input system of described employing is carried out image acquisition to duricrust based food and refers to and to be taken pictures to the duricrust based food on freshness weighing apparatus by freshness software; Further by software or the program in network high in the clouds, identify the Quick Response Code on freshness weighing apparatus; Identify the weight information on the indicating value device of freshness weighing apparatus; Identify the duricrust based food on the setting circle of specific distance on freshness weighing apparatus load-bearing plate, identification freshness weighing apparatus load-bearing plate, identifying information is analyzed, thus calculate the volume of the duricrust based food on load-bearing plate.
The further technical scheme of the present invention is, estimation volume volume estimation module, described volume estimation module and model system are by being connected, described image input module is connected with mobile phone camera, described image input module and volume estimation model calling, described image input module is connected with hardware identification module and indicating value device identification module, and described indicating value device identification module is connected with model system respectively with volume estimation system, and described hardware identification module is connected with model system;
Described volume estimation system comprises setting circle computing module, intensity contrast module, gray-scale value computing module and calculated value sending module, described setting circle computing module and image input module, indicating value device identification module and intensity contrast model calling, described setting circle identification computing module, intensity contrast module, gray-scale value computing module are connected successively with calculated value sending module, and described calculated value sending module is connected with described model system;
Described model system comprises calculated value receiver module, model value computing module and signal output module, described calculated value receiver module is connected with calculated value sending module with hardware identification module, indicating value device identification module, and described calculated value receiver module, model value computing module are connected successively with signal output module respectively;
Described system also comprises the medium of Smartphone device and mobile Internet.
The further technical scheme of the present invention is, described image input module receive image maybe by the image uploading that accepts to network high in the clouds, and the image of acquisition to be processed;
Whether described hardware identification module carries out Quick Response Code hardware identification to reception image, be the freshness weighing apparatus of particular number, then points out hardware identification unsuccessful if not, whether returns mobile phone camera and obtain graphic interface, otherwise, perform next step;
Described indicating value device identification module identifies the numeral received in image on indicating value device, whether be to identify the numeral on indicating value device, then point out numeral on indicating value device to identify unsuccessful if not, whether return mobile phone camera and obtain graphic interface, otherwise, perform next step;
Described volume estimation system setting circle identification computing module identifies setting circle in reception image and calculates, whether be to identify setting circle, then point out setting circle identification unsuccessful if not, whether return mobile phone camera and obtain graphic interface, otherwise, perform next step;
Described volume estimation System Grey angle value computing module identifies the duricrust based food received in image on weighing pan and calculates, whether be to identify setting circle, then point out this article identification to calculate if not unsuccessful, whether return mobile phone camera and obtain graphic interface, otherwise, perform next step;
The numeral that the volume of duricrust based food that described volume estimation symmetry system having symmetry heavily coils estimation and indicating value device show gives calculated value receiver module;
The volume and weight information received in calculated value receiver module is substituted into the computation model module of the duricrust based food of particular category by described model computation module, calculates the freshness index result of this kind of food and judges conclusion;
Described model computation module is by the freshness index result of this kind of food and judge that conclusion sends to described signal output module, and result is sent to the client of the homepage of freshness software or micro-signal, microblogging number by signal output module.
Adopt the patent of the present invention of as above technical scheme, have following beneficial effect relative to prior art: freshness weighing apparatus, the quality of duricrust based food can be calculated and be carved with the setting circle can estimating duricrust based food volume.
Freshness software (APP, micro-signal, microblogging number and high in the clouds program) obtains image by mobile phone camera under normal daylight lamp (illumination 100-600Lux), and carries out quality Identification, volume estimation according to obtained image.
Automatic substitution scoring model, has intellectuality, feedback real time implementation, model cootrol parameter in advantages such as real-time update under networking situation, can be mainly used in the real-time detection to piece hard shell based food freshness in daily life.
By solving of scoring model group, draw a series of judge value of duricrust based food freshness and pass judgment on conclusion, and need not measure each specific targets, information is transmitted in real time.Evaluation result is by passing judgment between the indicator of confidence degree.
Accompanying drawing explanation
In order to further illustrate the present invention, be described further below in conjunction with accompanying drawing:
Fig. 1 is system global structure schematic diagram of the present invention.
Fig. 2 is the block schematic illustration of system shown in Figure 1.
Fig. 3 is method overall procedure schematic diagram of the present invention.
Fig. 4 is freshness weighing apparatus schematic diagram.
Fig. 5 is freshness software work schematic diagram.
Embodiment
Be described embodiments of the invention below in conjunction with accompanying drawing, embodiment is not construed as limiting the invention:
Object of the present invention is achieved through the following technical solutions:
The freshness Analytical system of the duricrust based food of density based model, comprises duricrust based food freshness scoring model, freshness weighing apparatus and freshness software.Duricrust based food freshness scoring model is as a part of code of freshness software program, and the information on this software identification freshness weighing apparatus is gone forward side by side row operation, is then exported as a result by decision content.
Described duricrust based food freshness scoring model comprises minute, testing index.Testing index is different because of the difference of the duricrust based food of mensuration, but be the index of its freshness of reaction, as weight-loss ratio, respiratory intensity, the content of some protein, carbohydrate, fat, vitamin etc., the immediate data of structure or reflect the indirect data of these nutrient contents, structure.By relatively large detection sample (the parallel laboratory test quantity that each index measures is greater than 30) at every turn, get rid of divorced value, make the data of data analysis and structure model more reliable, ensure that result is closer to truth to a certain extent.Index analysis in rating model comprises mean value, standard error, degree of confidence, the correlation analysis of testing index and Hierarchical Clustering result.Duricrust based food evaluation index is carried out to the analysis of precision, accuracy and precision, for duricrust based food Freshness evaluation provides the foundation data.According to correlation analysis and Hierarchical Clustering result, filter out the index of main reflection freshness, and build the correlation models between testing index.Also to build the regression model of each leading indicator and minute in addition, set up the time dependent mathematical regression model of representational index.The related coefficient of regression model need be greater than 0.999.According to this two group model, making when learning any one index, by time and correlativity, the data result of other indexs can be inferred.This two group model is the scoring model of concrete a certain duricrust based food freshness scoring model.A kind of major way of the present invention is the current density index calculating duricrust based food according to freshness weighing apparatus and freshness software, by regression model and correlation models, infer other indexs data result.
Described freshness weighing apparatus, utilizes Hooke's law to measure the quality of described food, utilizes positioning centre localization method measure the volume of described food and utilize the food variety of image recognition duricrust class.Comprise load-bearing plate (as the scale pan), power transmission converter (as pressure transducer) and indicating value device (as electronic display meter dish), various prototype part is connected successively by connecting line, and stationary installation is arranged at bottom, and side has horizontal measuring instrument.Load-bearing plate draws spacing setting circle according to Pythagorean theorem rule, and load-bearing plate center has depression.By freshness weighing apparatus, duricrust based food is weighed, draw quality of weighing, will to be weighed quality results output display by indicating value device.On load-bearing plate, the distance of center circle of setting circle is from being definite value, for the volume of software analysis duricrust based food.Depression on load-bearing plate can play the effect of stable duricrust based food.There is Quick Response Code in freshness weighing apparatus front, has and downloads freshness software and hardware recognition function.Have stationary installation bottom freshness weighing apparatus, side has horizontal measuring instrument, can prevent run-off the straight after freshness weighing apparatus load-bearing plate pressure-bearing product.
Described freshness software, comprises client end AP P, the subfunction of micro-signal, microblogging number or other softwares or high in the clouds computing system.This software have utilize mobile phone carry out taking pictures obtain image, identify Quick Response Code on freshness weighing apparatus, the numeral identified on freshness weighing apparatus indicating value device, identify freshness weighing apparatus load-bearing plate duricrust based food, identify setting circle on freshness weighing apparatus load-bearing plate and calculation process carried out to the information identified and substitutes into duricrust based food freshness scoring model, return the function that decision content exports as a result.By freshness software, the duricrust based food on freshness weighing apparatus is taken pictures.By in software or the program in network high in the clouds, identify Quick Response Code (hardware identification code) on freshness weighing apparatus; Identify the weight information on the indicating value device of freshness weighing apparatus; Identify the duricrust based food on the setting circle of specific distance on freshness weighing apparatus load-bearing plate, identification freshness weighing apparatus load-bearing plate, identifying information is analyzed, thus calculate the volume of the duricrust based food on load-bearing plate.And using weight and volume as original value, calculate the density of this duricrust based food.Density is inputted the density regression function in duricrust based food freshness scoring model, draw determination time.By carrying out the mensuration (n>30) of large sample to a certain duricrust based food, set up correlation models, select index high with density index degree of relevancy in physical and chemical index.Apply regression model afterwards and modeling is carried out to the physical and chemical index selected.
Embodiment one regression model of egg (in the animal sources duricrust based food):
First the mensuration to egg large sample (n>30) is completed, use the Hierarchical Clustering in SPSS, clustering method is connect between group, and module interval uses Pearson to be correlated with, in conversion value, method for transformation uses range from 0-1, builds similarity matrix and clustering tree.Within about 20 days, be that Hough value is in the stale marginal time under current storage condition, analysis result is also representative.
Table 1 similarity matrix
Table1.SimilarityMatrix
| Air chamber diameter | Air room height | Hough value | Prudent rate | Weight-loss ratio | Air chamber diameter added value | Air chamber diameter increases number percent | Air room height recruitment | Air room height increases number percent | Density | |
| Air chamber diameter | 1.000 | .844 | -.143 | -.667 | .667 | .880 | .740 | .849 | .704 | -.515 4 --> |
| Air room height | .844 | 1.000 | .112 | -.499 | .499 | .839 | .771 | .877 | .610 | -.219 |
| Hough value | -.143 | .112 | 1.000 | .021 | -.021 | -.292 | -.314 | .034 | -.026 | -.006 |
| Prudent rate | -.667 | -.499 | .021 | 1.000 | -1.00 | -.454 | -.312 | -.560 | -.504 | .749 |
| Weight-loss ratio | .667 | .499 | -.021 | -1.000 | 1.000 | .454 | .312 | .560 | .504 | -.749 |
| Air chamber diameter added value | .880 | .839 | -.292 | -.454 | .454 | 1.000 | .970 | .885 | .753 | -.137 |
| Air chamber diameter increases number percent | .740 | .771 | -.314 | -.312 | .312 | .970 | 1.000 | .831 | .712 | .068 |
| Air room height recruitment | .849 | .877 | .034 | -.560 | .560 | .885 | .831 | 1.000 | .913 | -.298 5 --> |
| Air room height increases number percent | .704 | .610 | -.026 | -.504 | .504 | .753 | .712 | .913 | 1.000 | -.314 |
| Density | -.515 | -.219 | -.006 | .749 | -.749 | -.137 | .068 | -.298 | -.314 | 1.000 |
The similarity matrix of 20 days each indexs is in table 1.Cluster analysis result shows, and from 20, can be divided into 2 classes, prudent rate, density, Hough value can be divided into a class, and other are divided into a class, and namely Hough value, prudent rate and density similarity degree are higher, can mutually represent; From 5, can be divided into following 4 classes, the index relevant with air chamber can be divided into a class, this type of index represents the air chamber change occurred over time, air chamber is larger, represents freshness lower, increases number percent most representative in air chamber index of correlation with air chamber diameter; Weight-loss ratio represents the number that moisture is lost with the change of environmental baseline in time, and dehydration is more, and freshness is lower; The representative of prudent rate in time with the situation of the change egg mass excess of environmental baseline, density is equivalent to be revised weightlessness by initial weight, the egg of different size also can be compared, and both is described from the freshness of reverse side to egg of weight-loss ratio; The index of the egg freshness of the logical direct acquisition recognized in the Hough Zhi Shi world, stated by quality and dense albumen height, have certain contact with other indexs, but be limited by test condition, consumer unlikely directly measures, and majority is the indication index in laboratory.In general, the indication index of number percent as reliable egg freshness should be increased using Hough value, density and air chamber diameter, and there is between each index certain mutual deixis.
By above analysis, the several indexs choosing most worthy carry out model construction, weight-loss ratio, prudent rate, and the index of Hough value, density is selected into, according to each testing result, to above several carry out model construction.
Finally, decision content scoring model drawn or judge that conclusion exports as the result of software.
The freshness Analytical system of the duricrust based food of density based model and method thereof, comprise the steps:
(1) freshness weighing apparatus power supply is started, Initialize installation: reset button.Duricrust based food to be determined is placed on weighing pan.
(2) the freshness softwares such as APP, micro-signal or microblogging number are started, the response hot key of a certain food in the duricrust based food listed in selective listing, open mobile phone camera, weighing pan on freshness weighing apparatus and indicating value device are put into photograph region, selection area is taken a picture.
(3) photo obtained transfers to freshness software analysis program to analyze, or photo upload is analyzed to high in the clouds freshness software analysis program by micro-signal, microblogging number.
(4) routine analyzer is by the analysis of comparison film, returns decision content and judges conclusion, exporting in APP, micro-signal or microblogging number.
(5) decision content and judgement conclusion are indicated by the scope under confidence degree.
Described step (4) specifically comprises the steps:
(4-1) described routine analyzer comprises identification freshness weighing apparatus Quick Response Code and activates software;
(4-2) identify the numerical value on indicating value device, and substituted in the scoring model of a certain duricrust based food that user selectes;
(4-3) identify the duricrust based food that is placed on weighing pan and setting circle and by setting circle, its volume estimated.
(4-4) volume is substituted into the scoring model of a certain duricrust based food that specific user selectes.
As shown in Figure 1, the freshness Analytical system of the duricrust based food of this density based model comprises freshness weighing apparatus, freshness software.Described weighing apparatus has and comprises load-bearing plate (as the scale pan), power transmission converter (as pressure transducer) and indicating value device (as electronic display meter dish).Weighing pan has on load-bearing plate and draw according to ad hoc rules the setting circle specified Spacing.Image input module, indicating value device identification module, volume estimation module and model system is had in described freshness software.
As shown in Figure 2, described volume estimation module and model system are by being connected, described image input module is connected with mobile phone camera, described image input module and volume estimation model calling, described image input module is connected with hardware identification module and indicating value device identification module, described indicating value device identification module is connected with model system respectively with volume estimation system, and described hardware identification module is connected with model system.
Described volume estimation system comprises setting circle computing module, intensity contrast module, gray-scale value computing module and calculated value sending module, described setting circle computing module and image input module, indicating value device identification module and intensity contrast model calling, described setting circle identification computing module, intensity contrast module, gray-scale value computing module are connected successively with calculated value sending module, and described calculated value sending module is connected with described model system.
Setting circle computing module, by identifying setting circle, the setting value of the spacing of the positioning centre in calling system, the engineer's scale completing image calculates.
Intensity contrast module, by carrying out gray proces to measured duricrust based food, mainly refer to that carrying out suitable conversion to image on demand gives prominence to some useful information, remove or weaken useless information, before volume estimation analysis is carried out to image, improve picture quality, the object of improvement is exactly that image ratio original image after will making process is more suitable for volume estimation.
Gray-scale value computing module, the engineer's scale drawn by setting circle computing module, carries out volume estimation to the image that intensity contrast resume module is crossed.
Described model system comprises calculated value receiver module, model value computing module and signal output module, described calculated value receiver module is connected with calculated value sending module with hardware identification module, indicating value device identification module, and described calculated value receiver module, model value computing module are connected successively with signal output module respectively.
Described system also comprises the medium of Smartphone device and mobile Internet.
As shown in Figure 2, described freshness weighing apparatus is used by battery or Power supply; Freshness software provides software and hardware support environment to use by the medium of intelligent mobile phone platform and mobile Internet, is powered by battery of mobile phone.
As shown in Figure 1, during use, first freshness analyzer is positioned on desktop, makes level meter 10 be in horizontality, then test product 5 is positioned on the appointment sunk area 6 of freshness weighing apparatus load-bearing plate; Carry out photograph by mobile phone camera 8 to tested freshness weighing apparatus 2 and test product 5 and obtain image photograph, and then by be built in freshness software in mobile phone 7 or with micro-letter of high in the clouds analytic system 8 UNICOM, microblogging number analyze take image identification code 1, indicating value device displayed value 3 test product 5 freshness, the most backward user interface and mobile phone interface 7 export decision content and result of determination.
As shown in Figure 3, the freshness Analytical system of the duricrust based food of the density based model realized by said system and method thereof, is characterized in that comprising the following steps:
(1) freshness weighing apparatus 2 power supply is started, Initialize installation: clearing of weighing; Regulate freshness weighing apparatus, make level meter 10 be in horizontality.
(2) duricrust based food 5 is positioned in freshness weighing apparatus load-bearing plate depression 6, treats that the indicating value device 3 of freshness weighing apparatus 2 shows numerical value.
(3) under normal photographical condition, open camera 8 after using freshness software 7 to select the kind of duricrust based food, after camera Automatic adjusument, freshness weighing apparatus 2 is taken pictures.
(4) image transmitting after taking pictures is uploaded to network high in the clouds 8 to freshness software 7 or when there being network signal by micro-signal, microblogging number.
(5) the freshness analytic system acceptance pattern picture in freshness software 7 or network high in the clouds 8, and carry out extraction and analysis by the information of carrying in image, calculates and judges the freshness of duricrust based food.
(6) freshness software 7 or network high in the clouds 8 are by the freshness calculated value of duricrust based food with judge that conclusion is fed back to user interface, and the relevant science popularization general knowledge of food or edible suggestion are sent to client by selectivity.
(7), after detection terminates, freshness software 7 and freshness weighing apparatus 2 is closed.
As shown in Figure 3, described step (5) specifically comprises the steps:
(5-1) image input module described in receive image maybe by the image uploading that accepts to network high in the clouds, and the image of acquisition to be processed.
(5-2) whether the hardware identification module described in carries out Quick Response Code hardware identification to reception image, be the freshness weighing apparatus of particular number, then points out hardware identification unsuccessful if not, whether returns mobile phone camera and obtain graphic interface, otherwise, perform next step;
(5-3) the indicating value device identification module described in identifies the numeral received in image on indicating value device, whether be to identify the numeral on indicating value device, then point out numeral on indicating value device to identify unsuccessful if not, whether return mobile phone camera and obtain graphic interface, otherwise, perform next step;
(5-4) the volume estimation system setting circle identification computing module described in identifies setting circle in reception image and calculates, whether be to identify setting circle, then point out setting circle identification unsuccessful if not, whether return mobile phone camera and obtain graphic interface, otherwise, perform next step;
(5-5) the volume estimation System Grey angle value computing module described in identifies the duricrust based food received in image on weighing pan and calculates, whether be to identify setting circle, this article identification is then pointed out to calculate if not unsuccessful, whether return mobile phone camera and obtain graphic interface, otherwise, perform next step;
(5-6) numeral that the volume of duricrust based food that the volume estimation symmetry system having symmetry described in heavily coils estimation and indicating value device show gives calculated value receiver module;
(5-7) the volume and weight information received in calculated value receiver module is substituted into the computation model module of the duricrust based food of particular category by the model computation module described in, calculates the freshness index result of this kind of food and judges conclusion.
(5-8) model computation module described in is by the freshness index result of this kind of food and judge that conclusion sends to described signal output module, and result is sent to the client of the homepage of freshness software or micro-signal, microblogging number by signal output module.
More than show and describe ultimate principle of the present invention, principal character and advantage of the present invention.Those skilled in the art should understand the present invention and not be restricted to the described embodiments; what describe in above-described embodiment and instructions just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in claimed scope.
Claims (10)
1. the freshness Analytical system of the duricrust based food of density based model and method thereof, is characterized in that, comprise following steps,
Build the duricrust based food model of the classification of density based model;
Consistent image input system is adopted to carry out image acquisition to duricrust based food;
Utilize Hooke's law to measure the quality of described food, utilize positioning centre localization method to measure the volume of described food;
And using weight and volume as original value, calculate the density of this duricrust based food;
Tentatively can judge the storage time of product according to the density of food, judge that whether food is fresh.
2. the freshness Analytical system of the duricrust based food of density based model as claimed in claim 1 and method thereof, it is characterized in that, the duricrust based food model of the classification of described structure density based model refers to, based on basic type of goods, obtain the situation of change of density along with the storage time of this kind, duricrust based food due to outside be duricrust, therefore its outer shape can not be out of shape, but its water loss, therefore its density can be more and more less, storage time is longer, and density is less, can know its freshness according to this.
3. the freshness Analytical system of the duricrust based food of density based model as claimed in claim 1 and method thereof, it is characterized in that, what is called judges that whether food is fresh, it is the empirical data gathering a kind of duricrust based food, formation density and storage time, as the experience table of reference, see that the scope that density falls into judges.
4. the freshness Analytical system of the duricrust based food of density based model as claimed in claim 1 and method thereof, it is characterized in that, what is called judges that whether food is fresh, after gathering density, calculate the storage time, use the storage time to calculate other freshness indexs further afterwards, or according to other freshness indexs of the correlation calculations between index, all freshness indexs as a whole and then whether pass judgment on food fresh.
5. the freshness Analytical system of the duricrust based food of density based model as claimed in claim 1, is characterized in that there is a freshness weighing apparatus, and weighing apparatus comprises Quick Response Code, there are depression, electronic weighing system in indicating value device, setting circle, load-bearing plate center.
6. the freshness Analytical system of the duricrust based food of density based model as claimed in claim 1 and method thereof, it is characterized in that, the consistent image input system of described employing is carried out image acquisition to duricrust based food and refers to and to be taken pictures to the duricrust based food on freshness weighing apparatus by freshness software; Further by software or the program in network high in the clouds, identify the Quick Response Code on freshness weighing apparatus; Identify the weight information on the indicating value device of freshness weighing apparatus; Identify the duricrust based food on the setting circle of specific distance on freshness weighing apparatus load-bearing plate, identification freshness weighing apparatus load-bearing plate, identifying information is analyzed, thus calculate the volume of the duricrust based food on load-bearing plate.
7. the freshness Analytical system of the duricrust based food of density based model as claimed in claim 1 and method thereof, it is characterized in that, estimation volume volume estimation module, described volume estimation module and model system are by being connected, described image input module is connected with mobile phone camera, described image input module and volume estimation model calling, described image input module is connected with hardware identification module and indicating value device identification module, described indicating value device identification module is connected with model system respectively with volume estimation system, described hardware identification module is connected with model system,
Described volume estimation system comprises setting circle computing module, intensity contrast module, gray-scale value computing module and calculated value sending module, described setting circle computing module and image input module, indicating value device identification module and intensity contrast model calling, described setting circle identification computing module, intensity contrast module, gray-scale value computing module are connected successively with calculated value sending module, and described calculated value sending module is connected with described model system;
Described model system comprises calculated value receiver module, model value computing module and signal output module, described calculated value receiver module is connected with calculated value sending module with hardware identification module, indicating value device identification module, and described calculated value receiver module, model value computing module are connected successively with signal output module respectively;
Described system also comprises the medium of Smartphone device and mobile Internet.
8. the freshness Analytical system of the duricrust based food of density based model as claimed in claim 5 and method thereof, is characterized in that, described image input module receive image maybe by the image uploading that accepts to network high in the clouds, and the image of acquisition to be processed;
Whether described hardware identification module carries out Quick Response Code hardware identification to reception image, be the freshness weighing apparatus of particular number, then points out hardware identification unsuccessful if not, whether returns mobile phone camera and obtain graphic interface, otherwise, perform next step;
Described indicating value device identification module identifies the numeral received in image on indicating value device, whether be to identify the numeral on indicating value device, then point out numeral on indicating value device to identify unsuccessful if not, whether return mobile phone camera and obtain graphic interface, otherwise, perform next step;
Described volume estimation system setting circle identification computing module identifies setting circle in reception image and calculates, whether be to identify setting circle, then point out setting circle identification unsuccessful if not, whether return mobile phone camera and obtain graphic interface, otherwise, perform next step;
Described volume estimation System Grey angle value computing module identifies the duricrust based food received in image on weighing pan and calculates, whether be to identify setting circle, then point out this article identification to calculate if not unsuccessful, whether return mobile phone camera and obtain graphic interface, otherwise, perform next step;
The numeral that the volume of duricrust based food that described volume estimation symmetry system having symmetry heavily coils estimation and indicating value device show gives calculated value receiver module;
The volume and weight information received in calculated value receiver module is substituted into the computation model module of the duricrust based food of respective classes by described model computation module, calculates the freshness index result of this kind of food and judges conclusion;
Described model computation module is by the freshness index result of this kind of food and judge that conclusion sends to described signal output module, and result is sent to the client of the homepage of freshness software or micro-signal, microblogging number by signal output module.
9. the freshness weighing apparatus in the freshness Analytical system of the duricrust based food of density based model as claimed in claim 5, is characterized in that, supports the identification of weight measurement, cubing and duricrust based food.
10. the freshness weighing apparatus in the freshness Analytical system of the duricrust based food of density based model as claimed in claim 5, it is characterized in that, stationary installation is arranged at bottom, and side has horizontal measuring instrument, can prevent run-off the straight after freshness weighing apparatus load-bearing plate pressure-bearing product.
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