CN115936514B - Country food creative system based on big data linkage management - Google Patents
Country food creative system based on big data linkage management Download PDFInfo
- Publication number
- CN115936514B CN115936514B CN202211608739.1A CN202211608739A CN115936514B CN 115936514 B CN115936514 B CN 115936514B CN 202211608739 A CN202211608739 A CN 202211608739A CN 115936514 B CN115936514 B CN 115936514B
- Authority
- CN
- China
- Prior art keywords
- evaluation
- information
- food
- grade
- color
- 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.)
- Active
Links
- 235000013305 food Nutrition 0.000 title claims abstract description 225
- 238000011156 evaluation Methods 0.000 claims abstract description 278
- 238000004458 analytical method Methods 0.000 claims abstract description 29
- 238000000034 method Methods 0.000 claims description 6
- 235000002864 food coloring agent Nutrition 0.000 claims description 5
- 238000013475 authorization Methods 0.000 claims description 4
- 238000010009 beating Methods 0.000 claims description 4
- 239000004615 ingredient Substances 0.000 claims description 4
- 238000012790 confirmation Methods 0.000 claims description 3
- 230000001172 regenerating effect Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 description 4
- 238000004590 computer program Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 206010013911 Dysgeusia Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 235000021403 cultural food Nutrition 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 244000144972 livestock Species 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 235000015097 nutrients Nutrition 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a village food creative system based on big data linkage management, which comprises the following specific steps: the food information acquisition module acquires food information and evaluation information of village food staff; the automatic pushing module receives the food information to display and push; the food information acquisition module acquires the evaluation information after display pushing through the client, and transmits the evaluation information to the evaluation analysis module, and the evaluation analysis module obtains evaluation data according to the evaluation information; the evaluation data are transmitted to a grade evaluation module, and the intelligent evaluation module evaluates the food information; transmitting the evaluation data to a grade evaluation module, and carrying out grade evaluation by the grade evaluation module based on the evaluation data and the evaluation data; the invention informs the food staff to taste based on the acquisition of the village food information, and evaluates the food from multiple aspects by combining the food picture information in the food information to evaluate different grades.
Description
Technical Field
The invention relates to the technical field of rural food management, in particular to a rural food creative system based on big data linkage management.
Background
Rural areas generally refer to a collection of agricultural populations that predominate in engaging in agricultural activities. The village is pleasant in general scenery, fresh in air, and is suitable for people to live in, and the natural and unsophisticated in the civil wind, and mainly engages in agriculture. In general, rural areas have farmhouses, livestock sheds, warehouse yards, roads, canals, house greenhouses, and accessory facilities peculiar to specific environments and specialized production conditions. The village is generally not provided with service functions, and the central village is provided with living services and cultural facilities such as a small shop, a small medical clinic, a post office, a school and the like, so that the central village can play the lowest-level role. With the development of modern urban, urban-like rural areas, such as urban rural areas, are also occurring in suburban areas.
The delicacy is delicacy food as the name implies, the delicacy of the delicacy is realized, and the delicacy is realized. The food is not classified as noble, and can be called as food as long as the food is liked by the user. China has the reputation "culinary kingdom". In China, there are fifty-six small families, each of which has its own characteristic food. The food has the expectations before eating and aftertaste after eating, and people can enjoy the food in places where the food is delicious. The food culture is profound and profound around the world, the nutrient substances are different, the taste is more food, the people enjoy more health, and the people can eat more happily, so that the village food is delicious food manufactured in the village.
In the prior art, when the village food is selected for the creative evaluation of the food, the food selecting activity is usually held for evaluation and selection, a great amount of manpower and material resources are wasted during the holding of the activity, and the holding time is influenced by environmental factors because the idle time of each person is different during the holding, so that the holding time is influenced to a certain extent, and therefore, the village food creative system based on big data linkage management is provided.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a village food creative system based on big data linkage management.
In order to achieve the above object, the present invention is realized by the following technical scheme: the village food creative system based on big data linkage management comprises a food information acquisition module, an automatic pushing module, an evaluation analysis module, a grade evaluation module, an intelligent evaluation module and a server; the food information acquisition module, the automatic pushing module, the evaluation analysis module, the grade evaluation module and the intelligent evaluation module are respectively connected with the server in a data mode;
the delicious food information acquisition module acquires the delicious food information and evaluation information of village delicious food personnel;
the automatic pushing module receives the delicious information to display and push;
the food information acquisition module acquires the evaluation information after display pushing through the client, and transmits the evaluation information to the evaluation analysis module, and the evaluation analysis module obtains evaluation data according to the evaluation information;
the evaluation data are transmitted to a grade evaluation module, and the intelligent evaluation module evaluates the food information to obtain evaluation data; and transmitting the evaluation data to a grading module, wherein the grading module performs grading based on the evaluation data and the evaluation data.
Further, the food information comprises food picture information, food release position information and food introduction information; the evaluation information includes evaluation content information, taste star information, and evaluation population information;
the tasting star-grade information refers to the evaluation made by the evaluator after tasting, the evaluation is carried out by a star-beating mode, five grades of evaluation of 1 star, 1.5 star, 2 star, 2.5 star and 3 star are respectively set, the evaluator respectively makes the evaluation according to the taste of the tasting food, wherein 3 star is the highest star grade evaluation, and 1 star is the lowest star grade evaluation;
after the position authorization of the food staff and the evaluation staff is carried out, the position information of the food staff and the evaluation staff is obtained, the position information is sent out at the same time when the food is published, the server receives the position information, the position information of the evaluation staff within 1-2 km nearby the food staff is obtained, the total number of the evaluation staff in the information of the evaluation staff is obtained, the number of the notification staff is set according to the total number of the evaluation staff, the server sends a tasting signal to a customer service end of the corresponding evaluation staff, the evaluation staff receives the tasting signal to reach a designated position according to the position information of the food staff at the client side, the evaluation staff carries out evaluation after the tasting is finished, the star grade in the star grade information is obtained, and the star grade is conveyed to an evaluation analysis module;
and conveying the food picture information, the food introduction information and the food receiving information to an automatic pushing module and an intelligent evaluation module.
Further, the number of the appraisers is 30-40% of the total number of the appraisers, if the appraisers cannot taste food, the appraisers send negative instructions through the client, the server receives the negative instructions, and re-sends taste instructions to the corresponding appraisers according to the acquired position information, if the appraisers send positive instructions to the client, the server receives confirmation instructions, counts according to the number of the received positive instructions until the positive instructions account for 30-40% of the total number of the appraisers, the server sends notification completion instructions, and the appraisers which do not confirm receive the notification completion instructions through the client, and stops operating.
Further, the automatic pushing module receives the food picture information and the food introduction information in the food information, pushes the evaluator taking part in the taste, receives the food picture information and the food introduction information, obtains the food making flow according to the food introduction information, combines the food picture information to judge the food color, sets the color level according to the food color, sets the first color level, the second color level, the third color level and the fourth color level respectively, evaluates the color level according to the obtained picture information and the ingredient information in the food introduction information, assigns values to the first color level, the second color level, the third color level and the fourth color level respectively, assigns values to the second color level, the second color level is smaller than the third color level, and assigns values to the third color level is smaller than the fourth color level.
Further, the evaluation analysis module receives evaluation content information, taste star information and evaluation person number information in the evaluation information;
analyzing the evaluation content information, performing language evaluation according to taste feeling after the evaluation is finished by an evaluator, collectively collecting the total content of the language evaluation as the evaluation content information, uniformly acquiring the evaluation content information, acquiring the evaluation word number and the evaluation picture of the evaluation content, if the picture information meets more than S pieces, the word number meets more than Sa pieces, setting different added values according to different star grade in the taste star grade information, and gradually increasing the added value from 1 star to 3 star;
the evaluation analysis module is used for distinguishing the score of the memory of different evaluation contents according to the information of the number of people to be evaluated, wherein the score of the tasting staff is larger than the score of the picture evaluator, and the maximum score of the tasting staff is set as follows: PCFz; the maximum score of the picture evaluator is: TPFz; transmitting the tasting evaluator score and the picture evaluator score to a grade evaluation module; taste evaluators scores and picture evaluators scores were defined as evaluation data.
Further, the grade evaluation module respectively sets five grades of scores of 1 star, 1.5 star, 2 star, 2.5 star and 3 star according to the obtained evaluation personnel scores;
the score of 3 stars was set as: PCFz; the score of 2.5 stars was set as: PCFz1; the score of 2 stars was set as: PCFz2; the score of 1.5 star was set as: PCFz3; the score of 1 star was set as: PCFz4;
setting the additional value of 1 star as Q1, the additional value of 1.5 star as Q2, the additional value of 2 star as Q3, the additional value of 2.5 star as Q4 and the additional value of 3 star as Q5;
the grade evaluation module is used for respectively assigning a first color grade, a second color grade, a third color grade and a fourth color grade according to the obtained score of the picture evaluator;
setting a fourth color grade to be assigned as b, and setting the calculated score after assignment as: TPFz; and (3) assigning a value b1 to the third color level, wherein the value obtained after assigning is: (TPFz×b1)/b; and (3) assigning a value b1 to the second color level, wherein the value obtained after assigning is: (TPFz×b2)/b; and if the value of the first color grade is b1, the value obtained after the value is calculated is as follows: (TPFz.times.b3)/b.
Further, the intelligent evaluation module receives food picture information and food introduction information in the food information; generating standard picture information according to the food picture information and food introduction information, transmitting the generated picture information to a food staff client through a client, receiving the picture information by the food staff to observe the color information of the picture information, judging whether the color information accords with the optimal color of dishes, and if so, judging the color similarity of the standard picture information and the food picture in the food picture information by an intelligent evaluation module, and generating primary similarity, secondary similarity and tertiary similarity according to the color similarity;
setting the maximum score of the intelligent evaluation module as follows: zndfz;
the first-level similarity score is smaller than the second-level similarity score, and the second-level similarity score is smaller than the third-level similarity score;
setting three-level similarity scores as follows: zndfz; the second-order similarity score is: zndfz 1; the first order similarity score is: zndfz 2;
if the color information is not met, regenerating standard picture information according to the food picture information and food introduction information, transmitting the generated picture information to a food staff client through the client, receiving the picture information by the food staff, observing the color information of the picture information, and judging whether the color information meets the optimal color of the food until the color information meets the optimal color of the food.
Further, according to the highest grade of the acquired evaluation data and the lowest grade of the acquired evaluation data, obtaining; setting a grade threshold; the highest grade score is calculated: the highest set level is as follows: DJZGFz;
the lowest grade score is calculated: the lowest grade is set as follows: DJZDFz;
the grade threshold value is between [ DJZGFz, DJZDFz ], the grade evaluation module sets a first manual grade, a second manual grade, a third manual grade, a fourth manual grade and a fifth manual grade, the first manual grade is the lowest grade, and the fifth manual grade is the highest grade; the score is taken as
Between [ DJZGFz, DJZDFz ], a score section for each rating is set based on the score sections.
Further, when the section score is defined, the difference between DJZDFz and DJZGFz is obtained, and the average value is obtained by dividing the difference by 5, and the average value is set as follows: PJSz;
the first manual rating score is between [ DJZGFz, DJZGFz+PJSz ], the second manual rating score is between [ DJZGFz+PJSz, DJZGFz+2×PJSz ], the third manual rating score is between [ DJZGFz+2×PJSz, DJZGFz+3×PJSz ], the fourth manual rating score is between [ DJZGFz+3×PJSz, DJZGFz+4×PJSz ], and the fifth manual rating score is between [ DJZGFz+4×PJSz, DJZDFz ].
The invention has the beneficial effects that:
1. the invention is based on acquiring the village food information, notifying corresponding food staff to taste according to the position information of the acquired food information, evaluating the food from multiple sides by combining food picture information in the food information, setting a certain score in each evaluation, and carrying out different grade evaluations according to the comprehensive evaluation of the creative food.
2. When the invention evaluates the food, different grades are set for each food evaluation, different evaluation grades are set according to the different corresponding grades, the total score is obtained according to different scores in different grades, meanwhile, additional value is set, and food information is further known according to evaluation contents.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
FIG. 1 is a schematic block diagram of a rural food creative system based on big data linkage management of the present invention;
fig. 2 is a method step diagram of the rural delicious creative system based on big data linkage management.
Detailed Description
The invention is further described in connection with the following detailed description, in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
In the invention, referring to fig. 1 and 2, a village food creative system based on big data linkage management comprises a food information acquisition module, an automatic pushing module, an evaluation analysis module, a grade evaluation module, an intelligent evaluation module and a server; the food information acquisition module, the automatic pushing module, the evaluation analysis module, the grade evaluation module and the intelligent evaluation module are respectively connected with the server in a data mode;
the food information acquisition module is connected with a plurality of clients, and each client is used for acquiring food information and evaluation information of village food staff;
the client refers to a mobile phone terminal of the food staff and is in wireless data connection with the food information acquisition module, and is used for the food staff to send food information of the client and evaluate information of other food staff; other food workers were defined as evaluators.
The food information comprises food picture information, food publishing position information and food introduction information;
the evaluation information includes evaluation content information, taste star information, and evaluation population information;
it should be noted that: the tasting star-grade information refers to the evaluation made by the evaluator after tasting, the evaluation is carried out by a star-beating mode, five grades of evaluation of 1 star, 1.5 star, 2 star, 2.5 star and 3 star are respectively set, the evaluator respectively makes the evaluation according to the taste of the tasting food, wherein 3 star is the highest star grade evaluation, and 1 star is the lowest star grade evaluation;
after the position authorization of the food staff and the evaluation staff is carried out, the position information of the food staff and the evaluation staff is obtained, the position information is sent out at the same time when the food is published, the server receives the position information, the position information of the evaluation staff within 1-2 km nearby the food staff is obtained, the total number of the evaluation staff in the information of the evaluation staff is obtained, the number of the notification staff is set according to the total number of the evaluation staff, the server sends a tasting signal to a customer service end of the corresponding evaluation staff, the evaluation staff receives the tasting signal to reach a designated position according to the position information of the food staff at the client side, the evaluation staff carries out evaluation after the tasting is finished, the star grade in the star grade information is obtained, and the star grade is conveyed to an evaluation analysis module.
The method comprises the steps of conveying food picture information, food introduction information and food receiving information to an automatic pushing module and an intelligent evaluation module;
the method includes that the number of the appraisers is 30-40% of the total number of the appraisers, if the appraisers cannot taste food, the appraisers send negative instructions through the clients, the server receives the negative instructions, the appraisers re-send taste instructions to the corresponding appraisers according to the acquired position information, if the appraisers send positive instructions to the clients, the server receives confirmation instructions, the server counts according to the number of the received positive instructions until the positive instructions account for 30-40% of the total number of the appraisers, the server sends notification completion instructions, and the appraisers which do not confirm receive the notification completion instructions through the clients, and stop operating;
it should be noted that, this application file is to the rural food evaluation, acquires the processing based on rural information, and the evaluation personnel belongs to the personnel of same rural area, therefore the distance can not be far away, can realize receiving the information, tasting food.
The automatic pushing module receives the food information to display and push;
the automatic pushing module receives the food picture information and the food introduction information in the food information, pushes an evaluator taking part in the food, receives the food picture information and the food introduction information, obtains a manufacturing flow of the food according to the food introduction information, combines the food picture information to judge the color of the food, sets a color grade according to the food color, sets a first color grade, a second color grade, a third color grade and a fourth color grade respectively, evaluates the color grade according to the obtained picture information and the ingredient information in the food introduction information, and assigns a value to the first color grade, the second color grade, the third color grade and the fourth color grade respectively, wherein the value of the first color grade is smaller than that of the second color grade, the value of the second color grade is smaller than that of the third color grade, and the value of the third color grade is smaller than that of the fourth color grade;
the food picture information comprises a plurality of food pictures, the shooting angles and the shooting distances of each food picture are different, and the evaluation accuracy is improved by observing according to the food pictures;
the food information acquisition module acquires the evaluation information after display pushing through the client, and transmits the evaluation information to the evaluation analysis module, and the evaluation analysis module obtains evaluation data according to the evaluation information;
the evaluation analysis module receives evaluation content information, taste star information and evaluation number information in the evaluation information;
the evaluation content information is analyzed, the evaluation personnel performs language evaluation according to the taste feeling after the taste is finished, the total content of the language evaluation is collectively called as the evaluation content information, the evaluation content information is uniformly acquired, the evaluation content evaluation word number and the evaluation picture are acquired, if the picture information satisfies more than S pieces, the word number satisfies more than Sa pieces, different added values are set according to different star grade in the taste star grade information, and the added values are gradually increased from 1 star to 3 star.
The evaluation analysis module is used for distinguishing the score of the memory of different evaluation contents according to the information of the number of people to be evaluated, wherein the score of the tasting staff is larger than the score of the picture evaluator, and the maximum score of the tasting staff is set as follows: PCFz; the maximum score of the picture evaluator is: TPFz; transmitting the tasting evaluator score and the picture evaluator score to a grade evaluation module;
wherein the taste evaluator score and the picture evaluator score are defined as evaluation data;
the evaluation data are transmitted to a grade evaluation module, and the intelligent evaluation module evaluates the food information to obtain evaluation data; and transmitting the evaluation data to a grade evaluation module, wherein the grade evaluation module carries out grade evaluation based on the evaluation data and the evaluation data.
The grade evaluation module respectively sets five grades of scores of 1 star, 1.5 star, 2 star, 2.5 star and 3 star according to the obtained scores of the evaluators;
the score of 3 stars was set as: PCFz; the score of 2.5 stars was set as: PCFz1; the score of 2 stars was set as: PCFz2; the score of 1.5 star was set as: PCFz3; the score of 1 star was set as: PCFz4; wherein: PCFz > PCFz1 > PCFz2 > PCFz3 > PCFz4;
setting the additional value of 1 star as Q1, the additional value of 1.5 star as Q2, the additional value of 2 star as Q3, the additional value of 2.5 star as Q4 and the additional value of 3 star as Q5;
the grade evaluation module is used for respectively assigning a first color grade, a second color grade, a third color grade and a fourth color grade according to the obtained score of the picture evaluator;
setting a fourth color grade to be assigned as b, and setting the calculated score after assignment as: TPFz; and (3) assigning a value b1 to the third color level, wherein the value obtained after assigning is: (TPFz×b1)/b; and (3) assigning a value b1 to the second color level, wherein the value obtained after assigning is:
(TPFz×b2)/b; and if the value of the first color grade is b1, the value obtained after the value is calculated is as follows: (TPFz.times.b3)/b;
the intelligent evaluation module receives the food picture information and the food introduction information in the food information; generating standard picture information according to the food picture information and food introduction information, transmitting the generated picture information to a food staff client through a client, receiving the picture information by the food staff to observe the color information of the picture information, judging whether the color information accords with the optimal color of dishes, and if so, judging the color similarity of the standard picture information and the food picture in the food picture information by an intelligent evaluation module, and generating primary similarity, secondary similarity and tertiary similarity according to the color similarity;
setting the maximum score of the intelligent evaluation module as follows: zndfz;
the first-level similarity score is smaller than the second-level similarity score, and the second-level similarity score is smaller than the third-level similarity score;
setting three-level similarity scores as follows: zndfz; the second-order similarity score is: zndfz 1; the first order similarity score is: zndfz 2;
if the color information is not met, regenerating standard picture information according to the food picture information and food introduction information, transmitting the generated picture information to a food staff client through the client, and receiving the picture information by the food staff to observe the color information of the picture information, and judging whether the color information meets the optimal color of the food until the color information meets the optimal color of the food;
obtaining according to the highest grade and lowest grade of the obtained evaluation data; setting a grade threshold;
the highest grade score is calculated:
the highest set level is as follows: DJZGFz; please refer to the following formula:
DJZGFz＝PCFz+TPFz+Q5+ZNPDFz2；
the lowest grade score is calculated:
the lowest grade is set as follows: DJZDFz; please refer to the following formula:
the grade threshold value is between [ DJZGFz, DJZDFz ], the grade evaluation module sets a first manual grade, a second manual grade, a third manual grade, a fourth manual grade and a fifth manual grade, the first manual grade is the lowest grade, and the fifth manual grade is the highest grade; the score is taken as
Between [ DJZGFz, DJZDFz ], a score section for each rating is set based on the score sections.
When the section score is defined, the difference between DJZDFz and DJZGFz is obtained, and the average value is obtained by dividing the difference by 5, and the average value is set as follows: PJSz;
the first manual rating score is between [ DJZGFz, DJZGFz+PJSz ], the second manual rating score is between [ DJZGFz+PJSz, DJZGFz+2×PJSz ], the third manual rating score is between [ DJZGFz+2×PJSz, DJZGFz+3×PJSz ], the fourth manual rating score is between [ DJZGFz+3×PJSz, DJZGFz+4×PJSz ], and the fifth manual rating score is between [ DJZGFz+4×PJSz, DJZDFz ].
The invention discloses a village food creative system based on big data linkage management, which comprises the following steps:
step S1: the server controls the food information acquisition module to acquire food information and evaluation information of village food staff through the client;
wherein: the food information comprises food picture information, food publishing position information and food introduction information; the evaluation information includes evaluation content information, taste star information, and evaluation population information;
the tasting star information refers to the evaluation made by the evaluator after tasting, the evaluation is carried out by a star-beating mode, the five-grade evaluation of 1 star, 1.5 star, 2 star, 2.5 star and 3 star is respectively set, and the evaluator respectively makes the evaluation according to the taste of the tasting food;
when tasting the food, the specific steps are as follows:
step S11: after the position authorization of the food staff and the evaluation staff, the position information of the food staff and the evaluation staff is obtained;
step S12: when the food is published, the position information is sent out at the same time, the server receives the position information, and the position information of the evaluators within 1-2 km near the food is obtained;
step S13: acquiring the total number of evaluation people in the evaluation people information, setting a notification people number value according to the total number of evaluation people, sending a taste signal to a customer service end of a corresponding evaluation person by a server,
step S14: and the evaluator receives the tasting signal and reaches a designated position according to the position information of the client-side food staff, and performs tasting of food, and the evaluator performs evaluation after the tasting is completed, acquires star grade in the tasting star grade information and transmits the star grade to the evaluation analysis module.
Step S2: the automatic pushing module receives the food information to display and push;
the method comprises the steps that an evaluator receives the food picture information and the food introduction information, the evaluator obtains the making flow of the food according to the food introduction information and combines the food picture information to judge the color of the food, a server sets the color level according to the food color level, the first color level, the second color level, the third color level and the fourth color level are respectively set, the evaluator evaluates the color level according to the obtained picture information and the ingredient information in the food introduction information, and the evaluation is respectively carried out on the first color level, the second color level, the third color level and the fourth color level.
Step S3: the food information acquisition module acquires the evaluation information after display pushing through the client, and transmits the evaluation information to the evaluation analysis module, and the evaluation analysis module obtains evaluation data according to the evaluation information;
the specific steps of the evaluation analysis module when performing evaluation analysis are as follows:
step S31, analyzing the evaluation content information, and carrying out language evaluation by an evaluator according to taste feeling after the taste is finished, wherein the total content of the language evaluation is generally called as the evaluation content information;
step S32: uniformly acquiring evaluation content information, acquiring the number of evaluation words and evaluation pictures of the evaluation content, if the number of the words is more than Sa and the number of the pictures is more than S, setting different added values according to different star grades in the tasting star grade information;
step S33: the evaluation analysis module is used for differentiating the score of the memory of different evaluation contents according to the information of the number of the evaluation people, wherein the score of the tasting staff is larger than the score of the picture evaluator.
Step S34: the maximum score of the tasting evaluator is set as: PCFz; the maximum score of the picture evaluator is: TPFz; and transmitting the tasting evaluator scores and the picture evaluator scores to a grade evaluation module.
Step S4: the evaluation data are transmitted to a grade evaluation module, and the intelligent evaluation module evaluates the food information to obtain evaluation data; and transmitting the evaluation data to a grade evaluation module, wherein the grade evaluation module carries out grade evaluation based on the evaluation data and the evaluation data.
The above formulas are all formulas for removing dimensions and taking numerical calculation, the formulas are formulas for obtaining the latest real situation by collecting a large amount of data and performing software simulation, preset parameters in the formulas are set by a person skilled in the art according to the actual situation, if weight coefficients and proportion coefficients exist, the set sizes are specific numerical values obtained by quantizing the parameters, the subsequent comparison is convenient, and the proportional relation between the weight coefficients and the proportion coefficients is not influenced as long as the proportional relation between the parameters and the quantized numerical values is not influenced.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied therein. The storage medium may be implemented by any type or combination of volatile or nonvolatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM), electrically erasable Programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), erasable Programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
The above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. The village food creative system based on big data linkage management is characterized by comprising a food information acquisition module, an automatic pushing module, an evaluation analysis module, a grade evaluation module, an intelligent evaluation module and a server; the food information acquisition module, the automatic pushing module, the evaluation analysis module, the grade evaluation module and the intelligent evaluation module are respectively connected with the server in a data mode;
the delicious food information acquisition module acquires the delicious food information and evaluation information of village delicious food personnel;
the automatic pushing module receives the delicious information to display and push;
the food information acquisition module acquires the evaluation information after display pushing through the client, and transmits the evaluation information to the evaluation analysis module, and the evaluation analysis module obtains evaluation data according to the evaluation information;
the evaluation data are transmitted to a grade evaluation module, and the intelligent evaluation module evaluates the food information to obtain evaluation data; transmitting the evaluation data to a grade evaluation module, wherein the grade evaluation module carries out grade evaluation based on the evaluation data and the evaluation data;
the food information comprises food picture information, food publishing position information and food introduction information; the evaluation information includes evaluation content information, taste star information, and evaluation population information;
the tasting star-grade information refers to the evaluation made by the evaluator after tasting, the evaluation is carried out by a star-beating mode, five grades of evaluation of 1 star, 1.5 star, 2 star, 2.5 star and 3 star are respectively set, the evaluator respectively makes the evaluation according to the taste of the tasting food, wherein 3 star is the highest star grade evaluation, and 1 star is the lowest star grade evaluation;
after the position authorization of the food staff and the evaluation staff is carried out, the position information of the food staff and the evaluation staff is obtained, the position information is sent out at the same time when the food is published, the server receives the position information, the position information of the evaluation staff within 1-2 km nearby the food staff is obtained, the total number of the evaluation staff in the information of the evaluation staff is obtained, the number of the notification staff is set according to the total number of the evaluation staff, the server sends a tasting signal to a customer service end of the corresponding evaluation staff, the evaluation staff receives the tasting signal to reach a designated position according to the position information of the food staff at the client side, the evaluation staff carries out evaluation after the tasting is finished, the star grade in the star grade information is obtained, and the star grade is conveyed to an evaluation analysis module;
the method comprises the steps of conveying food picture information, food introduction information and food receiving information to an automatic pushing module and an intelligent evaluation module;
the number of the appraisers is 30-40% of the total number of the appraisers, if the appraisers cannot taste food, the appraisers send negative instructions through the client, the server receives the negative instructions, and re-sends taste instructions to the corresponding appraisers according to the acquired position information, if the appraisers send determination instructions to the client, the server receives confirmation instructions, counts according to the number of the received determination instructions until the determination instructions account for 30-40% of the total number of the appraisers, the server sends notification completion instructions, and the appraisers which do not confirm receive the notification completion instructions through the client, and stops operating;
the intelligent evaluation module receives the food picture information and the food introduction information in the food information; generating standard picture information according to the food picture information and food introduction information, transmitting the generated picture information to a food staff client through a client, receiving the picture information by the food staff to observe the color information of the picture information, judging whether the color information accords with the optimal color of dishes, and if so, judging the color similarity of the standard picture information and the food picture in the food picture information by an intelligent evaluation module, and generating primary similarity, secondary similarity and tertiary similarity according to the color similarity;
the first-level similarity score is smaller than the second-level similarity score, and the second-level similarity score is smaller than the third-level similarity score;
if the color information is not met, regenerating standard picture information according to the food picture information and food introduction information, transmitting the generated picture information to a food staff client through the client, receiving the picture information by the food staff, observing the color information of the picture information, and judging whether the color information meets the optimal color of the food until the color information meets the optimal color of the food.
2. The system of village food creative based on big data linkage management according to claim 1, wherein the automatic pushing module receives food picture information and food introduction information in food information, pushes an evaluator taking part in the food, receives the food picture information and the food introduction information, the evaluator obtains food making flow according to the food introduction information, combines the food picture information to judge the color of the food, the server sets color grades according to food color grades, respectively sets first color grade, second color grade, third color grade and fourth color grade, evaluates the color grades according to the obtained picture information and ingredient information in the food introduction information, respectively assigns a value to the first color grade, the second color grade, the third color grade and the fourth color grade, and assigns a value to the first color grade, the second color grade, and the third color grade is smaller than the fourth color grade.
3. The rural delicious creative system based on big data linkage management according to claim 1, wherein the evaluation analysis module receives evaluation content information, taste star information and evaluation number information in evaluation information;
analyzing the evaluation content information, performing language evaluation according to taste feeling after the evaluation is finished by an evaluator, collectively collecting the total content of the language evaluation as the evaluation content information, uniformly acquiring the evaluation content information, acquiring the evaluation word number and the evaluation picture of the evaluation content, if the picture information meets more than S pieces, the word number meets more than Sa pieces, setting different added values according to different star grade in the taste star grade information, and gradually increasing the added value from 1 star to 3 star;
the evaluation analysis module is used for distinguishing the score of the memory of different evaluation contents according to the information of the number of the evaluation people, wherein the score of the tasting staff is larger than the score of the picture evaluation staff, and the score of the tasting staff and the score of the picture evaluation staff are transmitted to the grade evaluation module; taste evaluators scores and picture evaluators scores were defined as evaluation data.
4. The rural delicious creative system based on big data linkage management according to claim 3, wherein the grade assessment module respectively sets scores of five grades of 1 star, 1.5 star, 2 star, 2.5 star and 3 star according to the acquired score of the evaluator;
the grade evaluation module is used for respectively assigning a first color grade, a second color grade, a third color grade and a fourth color grade according to the obtained score of the picture evaluator;
setting a fourth color grade to be assigned as b, and setting the calculated score after assignment as: TPFz; and b3, assigning the third color level, wherein the value obtained after assigning is: (TPFz×b1)/b; and b2, assigning the second color level, wherein the value obtained after assigning is: (TPFz×b2)/b; and if the value of the first color grade is b1, the value obtained after the value is calculated is as follows: (TPFz.times.b3)/b.
5. The rural delicious creative system based on big data linkage management according to claim 3, wherein the highest grade and lowest grade of the acquired evaluation data are obtained; setting a grade threshold; the highest grade score is calculated: the highest set level is as follows: DJZGFz;
the lowest grade score is calculated: the lowest grade is set as follows: DJZDFz;
the grade threshold value is between [ DJZGFz, DJZDFz ], the grade evaluation module sets a first manual grade, a second manual grade, a third manual grade, a fourth manual grade and a fifth manual grade, the first manual grade is the lowest grade, and the fifth manual grade is the highest grade; the value of the score is between [ DJZGFz, DJZDFz ], and the score interval of each grade is set according to the score interval.
6. The system of claim 5, wherein when the section score is defined, a difference between DJZDFz and DJZGFz is obtained, and an average value is obtained by dividing the difference by 5, and the average value is set as follows: PJSz;
the first manual rating score is between [ DJZGFz, DJZGFz+PJSz ], the second manual rating score is between [ DJZGFz+PJSz, DJZGFz+2×PJSz ], the third manual rating score is between [ DJZGFz+2×PJSz, DJZGFz+3×PJSz ], the fourth manual rating score is between [ DJZGFz+3×PJSz, DJZGFz+4×PJSz ], and the fifth manual rating score is between [ DJZGFz+4×PJSz, DJZDFz ].
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211608739.1A CN115936514B (en) | 2022-12-14 | 2022-12-14 | Country food creative system based on big data linkage management |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211608739.1A CN115936514B (en) | 2022-12-14 | 2022-12-14 | Country food creative system based on big data linkage management |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115936514A CN115936514A (en) | 2023-04-07 |
| CN115936514B true CN115936514B (en) | 2023-08-08 |
Family
ID=86648734
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211608739.1A Active CN115936514B (en) | 2022-12-14 | 2022-12-14 | Country food creative system based on big data linkage management |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115936514B (en) |
Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2161207A1 (en) * | 2008-09-04 | 2010-03-10 | Crown Packaging Technology, Inc | Can end |
| JP2013190423A (en) * | 2012-02-16 | 2013-09-26 | Univ Of Tsukuba | Sample-transmitted light detection method and sample-transmitted light detection apparatus |
| WO2013172639A1 (en) * | 2012-05-14 | 2013-11-21 | 성균관대학교산학협력단 | System and method for analyzing experience in real time |
| CN107819812A (en) * | 2016-09-14 | 2018-03-20 | 佛山市顺德区美的电热电器制造有限公司 | The evaluation method and device of cooking quality |
| KR101950870B1 (en) * | 2018-04-27 | 2019-02-21 | (주)소울시스템즈 | Apparatus and method for analyzing personal food properties using taste inclination estimation |
| CN109934504A (en) * | 2019-03-20 | 2019-06-25 | 福建榕基软件股份有限公司 | A kind of restaurant's star rating method and terminal |
| CN110689946A (en) * | 2019-10-12 | 2020-01-14 | 南京市卫生信息中心 | Healthy diet intervention system and intervention method for determining diet structure of user based on image recognition technology |
| CN110942344A (en) * | 2019-11-22 | 2020-03-31 | 汉海信息技术(上海)有限公司 | Method, device, equipment and storage medium for generating food recommendation list |
| CN110956508A (en) * | 2019-12-18 | 2020-04-03 | 杭州桐硕教育科技有限公司 | Big data management method and big data management system |
| CN111091029A (en) * | 2018-10-24 | 2020-05-01 | 宁波方太厨具有限公司 | Method for evaluating uniformity of baked food in oven |
| CN112035767A (en) * | 2020-08-14 | 2020-12-04 | 北京三快在线科技有限公司 | Method and device for displaying prompt information |
| CN112380431A (en) * | 2020-11-11 | 2021-02-19 | 喻丹 | Big data-based intelligent tourism analysis decision system and method |
| CN113569118A (en) * | 2021-06-30 | 2021-10-29 | 深圳市东信时代信息技术有限公司 | Self-media pushing method and device, computer equipment and storage medium |
| CN113886722A (en) * | 2021-12-08 | 2022-01-04 | 环球数科集团有限公司 | Travel food recommendation method and device and computer equipment |
| CN114004796A (en) * | 2021-10-26 | 2022-02-01 | 未鲲(上海)科技服务有限公司 | User evaluation result acquisition method and device, server and storage medium |
| CN114358883A (en) * | 2022-01-06 | 2022-04-15 | 海南康泰旅游股份有限公司 | Travel food recommendation system and method |
| CN114418391A (en) * | 2022-01-19 | 2022-04-29 | 南京林业大学 | Rural characteristic culture intention industry integrated management system based on online-offline linkage |
| KR20220080754A (en) * | 2020-12-07 | 2022-06-15 | 주식회사 미식의시대 | Food menu payment service system providing automatic purchase function for local currency and method of the same |
| KR20220117678A (en) * | 2021-02-17 | 2022-08-24 | 주식회사 스마트캐스트 | Local collaborative virtual food court service method |
| CN115099707A (en) * | 2022-07-27 | 2022-09-23 | 江苏银承网络科技股份有限公司 | Order evaluation data evaluation system, method, electronic device and storage medium |
| CN115221402A (en) * | 2022-07-15 | 2022-10-21 | 青岛文达通科技股份有限公司 | Food personalized recommendation method and system based on self-encoder |
-
2022
- 2022-12-14 CN CN202211608739.1A patent/CN115936514B/en active Active
Patent Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2161207A1 (en) * | 2008-09-04 | 2010-03-10 | Crown Packaging Technology, Inc | Can end |
| JP2013190423A (en) * | 2012-02-16 | 2013-09-26 | Univ Of Tsukuba | Sample-transmitted light detection method and sample-transmitted light detection apparatus |
| WO2013172639A1 (en) * | 2012-05-14 | 2013-11-21 | 성균관대학교산학협력단 | System and method for analyzing experience in real time |
| CN107819812A (en) * | 2016-09-14 | 2018-03-20 | 佛山市顺德区美的电热电器制造有限公司 | The evaluation method and device of cooking quality |
| KR101950870B1 (en) * | 2018-04-27 | 2019-02-21 | (주)소울시스템즈 | Apparatus and method for analyzing personal food properties using taste inclination estimation |
| CN111091029A (en) * | 2018-10-24 | 2020-05-01 | 宁波方太厨具有限公司 | Method for evaluating uniformity of baked food in oven |
| CN109934504A (en) * | 2019-03-20 | 2019-06-25 | 福建榕基软件股份有限公司 | A kind of restaurant's star rating method and terminal |
| CN110689946A (en) * | 2019-10-12 | 2020-01-14 | 南京市卫生信息中心 | Healthy diet intervention system and intervention method for determining diet structure of user based on image recognition technology |
| CN110942344A (en) * | 2019-11-22 | 2020-03-31 | 汉海信息技术(上海)有限公司 | Method, device, equipment and storage medium for generating food recommendation list |
| CN110956508A (en) * | 2019-12-18 | 2020-04-03 | 杭州桐硕教育科技有限公司 | Big data management method and big data management system |
| CN112035767A (en) * | 2020-08-14 | 2020-12-04 | 北京三快在线科技有限公司 | Method and device for displaying prompt information |
| CN112380431A (en) * | 2020-11-11 | 2021-02-19 | 喻丹 | Big data-based intelligent tourism analysis decision system and method |
| KR20220080754A (en) * | 2020-12-07 | 2022-06-15 | 주식회사 미식의시대 | Food menu payment service system providing automatic purchase function for local currency and method of the same |
| KR20220117678A (en) * | 2021-02-17 | 2022-08-24 | 주식회사 스마트캐스트 | Local collaborative virtual food court service method |
| CN113569118A (en) * | 2021-06-30 | 2021-10-29 | 深圳市东信时代信息技术有限公司 | Self-media pushing method and device, computer equipment and storage medium |
| CN114004796A (en) * | 2021-10-26 | 2022-02-01 | 未鲲(上海)科技服务有限公司 | User evaluation result acquisition method and device, server and storage medium |
| CN113886722A (en) * | 2021-12-08 | 2022-01-04 | 环球数科集团有限公司 | Travel food recommendation method and device and computer equipment |
| CN114358883A (en) * | 2022-01-06 | 2022-04-15 | 海南康泰旅游股份有限公司 | Travel food recommendation system and method |
| CN114418391A (en) * | 2022-01-19 | 2022-04-29 | 南京林业大学 | Rural characteristic culture intention industry integrated management system based on online-offline linkage |
| CN115221402A (en) * | 2022-07-15 | 2022-10-21 | 青岛文达通科技股份有限公司 | Food personalized recommendation method and system based on self-encoder |
| CN115099707A (en) * | 2022-07-27 | 2022-09-23 | 江苏银承网络科技股份有限公司 | Order evaluation data evaluation system, method, electronic device and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 成都地区小型餐饮业微博营销传播策略——以"豪虾传"为例;王韵睿;《中国优秀硕士学位论文全文数据库 经济与管理科学辑》(第06期);第J156-72页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115936514A (en) | 2023-04-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Arthur et al. | Scenic assessment: an overview | |
| CN107667903B (en) | Livestock breeding living body weight monitoring method based on Internet of things | |
| Perez et al. | Individual or common good? Voluntary data sharing to inform disease surveillance systems in food animals | |
| Grossetete et al. | Early estimation of vineyard yield: site specific counting of berries by using a smartphone. | |
| CN107667904A (en) | Live pig big data system based on technology of Internet of things | |
| CN111460990A (en) | Big data-based alpine pastoral area grassland insect pest monitoring and early warning system and method | |
| CN115936514B (en) | Country food creative system based on big data linkage management | |
| JP2019095949A (en) | Determination device, method for determination, determination program, and determination system | |
| CN111106969B (en) | Automatic evaluation method and system of Internet of things platform and storage medium | |
| KR102220533B1 (en) | Shipment forecasting system based on swine growth condition platform, and method thereof | |
| CN109359675A (en) | Image processing method and equipment | |
| CN114239924A (en) | Influence index determination method and device based on weather parameters | |
| CN110310146A (en) | Determine method, apparatus, electronic equipment and the storage medium of Wang Hong trade company | |
| CN113743790B (en) | Method and system for improving rice quality of saline-alkali soil and storage medium | |
| Le Bel et al. | Managing local overabundance of elephants through the supply of game meat: the case of Savé Valley Conservancy, Zimbabwe | |
| Vázquez-González et al. | A shared diagnosis of the current situation of Galician dairy farming: A bottom-up approach | |
| Miller | Estimation of individual tree metrics using structure-from-motion photogrammetry. | |
| CN112381575A (en) | Exhibition industry area acquisition method and device, electronic equipment and storage medium | |
| Mfitumukiza | Evaluating rangeland potentials for cattle grazing in a mixed farming system | |
| Corsi | Which Italian family farms will have a successor? | |
| CN113254570B (en) | Data identification method and device | |
| CN118171237B (en) | Aquaculture monitoring method and system integrating multidimensional data | |
| Singhal et al. | Choice modelling for participation in milk marketing channels: Evidence from Punjab, India | |
| Abayomi et al. | An analysis of risk factors among urban fish famers in Kaduna, Kaduna State | |
| CN112839203A (en) | Climate prediction method based on big data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20230407 Assignee: Hunan Jiading Cultural and Creative Co.,Ltd. Assignor: HUNAN University OF TECHNOLOGY Contract record no.: X2024980002723 Denomination of invention: A rural food creative system based on big data linkage management Granted publication date: 20230808 License type: Common License Record date: 20240314 |
|
| EE01 | Entry into force of recordation of patent licensing contract |