CN115936514A - Rural food creative system based on big data linkage management - Google Patents
Rural food creative system based on big data linkage management Download PDFInfo
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- 238000011156 evaluation Methods 0.000 claims abstract description 254
- 235000019640 taste Nutrition 0.000 claims abstract description 27
- 239000003086 colorant Substances 0.000 claims description 7
- 238000004519 manufacturing process Methods 0.000 claims description 6
- 239000004615 ingredient Substances 0.000 claims description 4
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- 235000002864 food coloring agent Nutrition 0.000 claims 1
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- 235000021403 cultural food Nutrition 0.000 description 1
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- 239000000796 flavoring agent Substances 0.000 description 1
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- 244000144972 livestock Species 0.000 description 1
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- 230000008569 process Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 235000014102 seafood Nutrition 0.000 description 1
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Abstract
The invention provides a country cate 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 country food staff; the food information acquisition module acquires food information through the client, and the automatic pushing module receives the food information to display and push the food information; the food information acquisition module acquires the displayed and pushed evaluation information 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 is transmitted to a grade evaluation module, and the intelligent evaluation module evaluates the food information; the evaluation data is transmitted to a grade evaluation module, and the grade evaluation module carries out grade evaluation based on the evaluation data and the evaluation data; the method and the system are based on the acquisition of the country food information, inform the food staff to taste, evaluate the food from multiple sides by combining the food picture information in the food information, and perform different grades.
Description
Technical Field
The invention relates to the technical field of country food management, in particular to a country food creative system based on big data linkage management.
Background
Rural areas generally refer to a colony that is dominated by the agricultural population engaged in agricultural activities. The general landscape of the country is pleasant, the air is fresh, it is suitable for people to live in, the folk wind is unsophisticated, mainly used for doing agriculture. In general, rural communities have farmhouses, livestock pens, warehouse yards, roads, waterways, neighborhood greenbelts, and ancillary facilities that are unique to specific environments and specialized production conditions. The village generally has no service function, and the central village has living service and culture facilities such as small shops, small medical clinics, post offices, schools and the like, and can play the central function of the lowest level. With the development of modern urbanization, urban village-like village settlement appears in suburbs of cities.
The delicacy is a delicious food as the name suggests, is precious and has delicacy and seafood flavor, and is a cheap snack with street sides. The food is not precious and cheap, and can be called as food as long as the food likes the food. The Chinese vegetarian has the reputation of 'the King of cooking'. In this large family in China, there are fifty-six small families, each with its own featured gourmet. The delicious food is expected before eating, has aftertaste after eating, and has taste only when enjoying the delicious food and seeing the occasion. The food culture is great and exquisite all over the world, the nutrient substances are different, the food tastes more delicious, the people enjoy more health, and the food is more happy to eat, and the country food is delicious food manufactured in the country.
In the prior art, when the country food is subjected to food creative evaluation, evaluation and selection are usually performed on the food evaluation activities, a large amount of manpower and material resources are wasted when the activities are held, the holding time is influenced by environmental factors, and the free time of each person is different when the activities are held, so that the holding time is influenced to a certain extent.
Disclosure of Invention
The invention aims to provide a country cate creative system based on big data linkage management, which is based on acquiring country cate information, informing corresponding cate personnel to taste according to position information of the acquired cate information, evaluating cate from multiple sides by combining cate picture information in the cate information, setting a certain score in each evaluation, and evaluating different grades according to comprehensive evaluation of creative cate.
In order to achieve the purpose, the invention is realized by the following technical scheme: the country 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 in data connection with the server;
the food information acquisition module acquires food information and evaluation information of country food staff;
the food information acquisition module acquires food information through a client, and the automatic pushing module receives the food information to display and push the food information;
the food information acquisition module acquires the displayed and pushed evaluation information 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; the evaluation data is transmitted to a rating module, which performs a rating based on the evaluation data and the evaluation data.
Further, the food information comprises food picture information, food publishing position information and food introduction information; the evaluation information comprises evaluation content information, tasting star-level information and evaluation people number information;
tasting star-level information refers to evaluation made by an evaluator after tasting, evaluation is made in a star-beating mode, five levels of evaluation of 1 star, 1.5 star, 2 star, 2.5 star and 3 star are respectively set, and the evaluator respectively makes evaluation according to taste of the delicious food, wherein 3 star is the highest star-level evaluation, and 1 star is the lowest star-level evaluation;
after the positions of the gourmet staff and the evaluators are authorized, the position information of the gourmet staff and the evaluators is obtained, when the gourmet is published, the position information is sent out at the same time, the server receives the position information, the position information of the evaluators within 1-2 km near the gourmet staff is obtained, the total number of the evaluators in the information of the number of the evaluators is obtained, the number of the evaluators is set according to the total number of the evaluators, the server sends a tasting signal to a customer service end corresponding to the evaluators, the evaluators receive the tasting signal and reach a designated position according to the position information of the gourmet staff at a client side, tasting the gourmet is carried out, the evaluators evaluate the tasting the gourmet staff after tasting, the star-level grade in the tasting star-level information is obtained, and the star-level grade is transmitted to an evaluation and analysis module;
and transmitting the food picture information, the food introduction information and the food receiving information to the automatic pushing module and the intelligent evaluation module.
Furthermore, the number of the notification persons of the evaluators accounts for 30-40% of the total number of the evaluators, if the evaluators cannot taste the delicious food, the evaluators send a 'negation' command through the client, the server receives the negation command and sends a tasting command to the corresponding evaluators again according to the acquired position information, if the evaluators send a 'determination' command through the client, the server receives a confirmation command and counts according to the number of the received 'determination' command until the 'determination' command accounts for 30-40% of the total number of the evaluators, the server sends a notification completion command, the evaluators who do not perform confirmation receive the notification completion command through the client and stop operating.
The automatic pushing module receives food picture information and food introduction information in the food information, and pushes evaluators participating in tasting, the evaluators receive the food picture information and the food introduction information, the evaluators obtain a food manufacturing process according to the food introduction information and judge colors of food in combination with the food picture information, the server sets color grades according to colors of the food, and sets a first color grade, a second color grade, a third color grade and a fourth color grade respectively, the evaluators evaluate the color grades according to the obtained picture information and ingredient information in the food introduction information, and respectively evaluate the first color grade, the second color grade, the third color grade and the fourth color grade, wherein the first color grade is smaller than the second color grade, the second color grade is smaller than the third color grade, and the third color grade is smaller than the fourth color grade.
Further, the evaluation analysis module receives evaluation content information, tasting star-level information and evaluation people number information in the evaluation information;
analyzing the evaluation content information, performing language evaluation by an evaluator according to tasting feeling after tasting, collectively referring to the total language evaluation content as the evaluation content information, uniformly acquiring the evaluation content information, acquiring evaluation word number of the evaluation content and an evaluation picture, if the picture information is more than S pieces, the word number is more than Sa, setting different additional values according to different star grades in the tasting star grade information, and gradually increasing the additional values from 1 star to 3 stars;
the evaluation analysis module distinguishes according to the memorability scores of different evaluation contents participated by the information of the number of evaluators, wherein the score of the taste evaluators is greater than the score of the picture evaluators, and the maximum score of the taste evaluators is set as follows: PCFz; the maximum score of the picture evaluator was: TPFz; the scores of the tasting evaluators and the scores of the picture evaluators are transmitted to a grade evaluation module; the taste rater score and the photo rater score were defined as rating data.
Further, the grade evaluation module respectively sets the scores of five grades 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 is set as: PCFz; the 2.5 star score was set as: PCFz1; set the score of 2 stars as: PCFz2; the 1.5 star score was set as: PCFz3; set the score for 1 star 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 scores of the image evaluators;
setting a fourth color grade to be assigned as b, and setting the value obtained after assignment as: TPFz; the third color level is assigned as b1, and the score obtained after assignment is: (TPFz × b 1)/b; the second color class is assigned as b1, and the score obtained after assignment is: (TPFz × b 2)/b; the first color class is assigned b1, and the score obtained after assignment is: (TPFz. Times.b 3)/b.
Further, 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 the food introduction information, transmitting the generated picture information to a food staff client through the client, receiving the picture information by the food staff to observe the color information of the picture information, judging whether the optimal color of the food is met, if the optimal color is met, judging the color similarity of the food pictures in the standard picture information and 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: ZNPDFz;
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 the three-level similarity score as: ZNPDFz; the secondary similarity score was: ZNPDFz1; the primary similarity score is: ZNPDFz2;
if not, regenerating standard picture information according to the food picture information and the 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 best color of the dish is met or not until the best color of the dish is met.
Further, obtaining according to the obtained evaluation data with the highest grade and the lowest grade; setting a grade threshold value; and (3) solving the highest grade: the highest grade is set as: DJZGFz;
and (3) solving the lowest grade: the lowest grade is set as: DJZDFz;
the grade threshold value is between [ DJZGFz, DJZDFz ], the grade evaluation module sets a first manual evaluation grade, a second manual evaluation grade, a third manual evaluation grade, a fourth manual evaluation grade and a fifth manual evaluation grade, the first manual evaluation grade is the lowest evaluation grade, and the fifth manual evaluation grade is the highest evaluation grade; and the value of the score is between [ DJZGFz, DJZDFz ], and the score interval of each rating grade is set according to the score interval.
Further, when interval score limiting is carried out, the difference value between DJZDFz and DJZDFz is obtained, the difference value is divided by 5 to obtain an average value, and the average value is as follows according to the set average value: PJSz;
the first artificial assessment grade value is between [ DJZGFz, DJZGFz + PJz ], the second artificial assessment grade value is between [ DJZGFz + PJsz, DJZGFz +2 XPJZz ], the third artificial assessment grade value is between [ DJZGFz +2 XPJsz, JZGFz +3 XPJz ], the fourth artificial assessment grade value is between [ DJZGFz +3 XPJsz, DJZGFz +4 XPJz ], and the fifth artificial assessment grade value is between [ DJZGFz +4 XPz, DJZDFz ].
The invention has the beneficial effects that:
1. the method is based on the acquisition of country food information, informs corresponding food staff to taste according to the position information of the acquired food information, evaluates the food from multiple sides by combining food picture information in the food information, sets a certain score in each evaluation, and performs different grades according to comprehensive evaluation of creative food.
2. When the method is used for evaluating the gourmet, different grades are set in each gourmet evaluation, different evaluation grades are set according to different corresponding grades, the total score is obtained according to different scores in different grades, the additional value is set at the same time, and the gourmet information is further known according to the evaluation content.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic block diagram of a village food creative system based on big data linkage management according to the present invention;
FIG. 2 is a method step diagram of the country food creative system based on big data linkage management.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
In the present invention, please refer to fig. 1 and 2, a country 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 in data connection with the server;
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 country food staff;
the client terminal refers to a mobile phone terminal of the gourmet staff, is in wireless data connection with the gourmet information acquisition module, and is used for the gourmet staff to send the self gourmet information and evaluate the evaluation information of other gourmet staff; other gourmets were defined as evaluators.
The food information comprises food picture information, food publishing position information and food introduction information;
the evaluation information comprises evaluation content information, tasting star-level information and evaluation people number information;
it should be noted that: tasting star-level information refers to evaluation made by an evaluator after tasting, evaluation is made in a star-beating mode, five levels of evaluation of 1 star, 1.5 star, 2 star, 2.5 star and 3 star are respectively set, and the evaluator respectively makes evaluation according to taste of the delicious food, wherein 3 star is the highest star-level evaluation, and 1 star is the lowest star-level evaluation;
after the positions of the gourmet staff and the evaluators are authorized, the position information of the gourmet staff and the evaluators is obtained, when the gourmet is published, the position information is sent out at the same time, the server receives the position information, the position information of the evaluators within 1-2 km near the gourmet staff is obtained, the total number of the evaluators in the information of the number of the evaluators is obtained, the number of the notices is set according to the total number of the evaluators, the server sends a tasting signal to a customer service end corresponding to the evaluators, the evaluators receive the tasting signal and reach the appointed position according to the position information of the gourmet staff at the client end to tast the gourmet, the evaluators evaluate after tasting, the star-level grade level grade in the tasting star-level information is obtained, and the star-level grade is transmitted to an evaluation and analysis module.
The food picture information, the food introduction information and the food receiving information are transmitted to the automatic pushing module and the intelligent evaluation module;
the number value of the number of the informed persons of the evaluators accounts for 30-40% of the total number of the evaluators, if the evaluators cannot taste food, the evaluators send a 'negation' instruction through the client, the server receives the negation instruction and sends the tasting instruction to the corresponding evaluators again according to the acquired position information, if the evaluators send a 'determination' instruction through the client, the server receives a confirmation instruction and counts according to the number of the received 'determination' instruction until the 'determination' instruction accounts for 30-40% of the total number of the evaluators, the server sends a notification completion instruction, the evaluators which do not perform confirmation receive the notification completion instruction through the client and stop operating;
it should be noted that, in the present application, the country gourmet is evaluated, the acquisition process is performed based on the country information, and the evaluators belong to the same person in the country, so that the distance is not too far, and the receiving of the information can be realized to taste the gourmet.
The food information acquisition module acquires food information through the client, and the automatic pushing module receives the food information to display and push the food information;
the automatic pushing module receives food picture information and food introduction information in the food information, and pushes evaluators participating in tasting, the evaluators receive the food picture information and the food introduction information, the evaluators obtain a food manufacturing process according to the food introduction information and judge colors of food by combining the food picture information, the server sets color grades according to the colors of the food, and sets a first color grade, a second color grade, a third color grade and a fourth color grade respectively, the evaluators evaluate the color grades according to the obtained picture information and ingredient information in the food introduction information, and respectively evaluate the first color grade, the second color grade, the third color grade and the fourth color grade, wherein the first color grade is smaller than the second color grade, the second color grade is smaller than the third color grade, and the third color grade is smaller than the fourth color grade;
the food picture information comprises a plurality of food pictures, the shooting angle and the shooting distance of each food picture are different, observation is carried out according to the plurality of food pictures, and the evaluation accuracy is improved;
the food information acquisition module acquires the displayed and pushed evaluation information 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, tasting star-level information and evaluation people number information in the evaluation information;
the method comprises the steps of analyzing evaluation content information, carrying out language evaluation by an evaluator according to tasting feeling after tasting is finished, collectively referring to the total language evaluation content as the evaluation content information, uniformly acquiring the evaluation content information, acquiring evaluation word number and evaluation pictures of the evaluation content, setting different additional values according to different star grades in tasting star grade information if the picture information is more than S pieces and the word number is more than Sa pieces, and gradually increasing the additional values from 1 star to 3 stars.
The evaluation analysis module distinguishes according to the memorability scores of different evaluation contents participated by the information of the number of evaluators, wherein the score of the taste evaluators is greater than the score of the picture evaluators, and the maximum score of the taste evaluators is set as follows: PCFz; the maximum score of the picture evaluator was: TPFz; the scores of the tasting evaluators and the scores of the picture evaluators are transmitted 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 gourmet information to obtain evaluation data; and 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 grade evaluation module respectively sets the scores of five grades 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 is set as: PCFz; the 2.5 star score was set as: PCFz1; set the score of 2 stars as: PCFz2; the score of 1.5 stars was set as: PCFz3; the 1-star score 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 scores of the image evaluators;
setting a fourth color grade to be assigned as b, and setting the value obtained after assignment as: TPFz; the third color level is assigned as b1, and the score obtained after assignment is: (TPFz × b 1)/b; the second color class is assigned as b1, and the score obtained after assignment is: (TPFz × b 2)/b; the first color class is assigned as b1, and the score obtained after assignment is: (TPFz × b 3)/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 the food introduction information, transmitting the generated picture information to a food staff client through the client, receiving the picture information by the food staff to observe the color information of the picture information, judging whether the optimal color of the food is met, 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: ZNPDFz;
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 the three-level similarity score as: ZNPDFz; the secondary similarity score was: ZNPDFz1; the primary similarity score is: ZNPDFz2;
if not, regenerating standard picture information according to the food picture information and the 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 optimal color of the food is met or not until the optimal color of the food is met;
obtaining according to the obtained evaluation data maximum grade and minimum grade; setting a grade threshold value;
and (3) solving the highest grade:
the highest grade is set as: DJZGFz; please refer to the following formula:
DJZGFz＝PCFz+TPFz+Q5+ZNPDFz2；
and (3) solving the lowest grade:
the lowest grade is set as: DJZDFz; please refer to the following formula:
the grade threshold value is between [ DJZGFz, DJZDFz ], the grade evaluation module sets a first manual evaluation grade, a second manual evaluation grade, a third manual evaluation grade, a fourth manual evaluation grade and a fifth manual evaluation grade, the first manual evaluation grade is the lowest evaluation grade, and the fifth manual evaluation grade is the highest evaluation grade; and the value of the score is between [ DJZGFz, DJZDFz ], and the score interval of each rating grade is set according to the score interval.
When the interval score is limited, the difference value between DJZDFz and DJZDFz is obtained, the difference value is divided by 5 to obtain the average value, and the average value is as follows: PJSz;
the first artificial assessment grade value is between [ DJZGFz, DJZGFz + PJSz ], the second artificial assessment grade value is between [ DJZGFz + PJSz, DJZGFz +2 XPJSz ], the third artificial assessment grade value is between [ DJZGFz +2 XPJSz, JDJZGFz +3 XPJSz ], the fourth artificial assessment grade value is between [ DJZGFz +3 XPJSz, DJZGFz +4 XPJSz ], and the fifth artificial assessment grade value is between [ DJZGFz +4 XPz, DJZDFz ].
In the invention, the country cate creative system based on big data linkage management comprises the following steps:
step S1: the server controls a food information acquisition module to acquire food information and evaluation information of country food staff through the client;
wherein: the food information comprises food picture information, food publishing position information and food introduction information; the evaluation information comprises evaluation content information, tasting star-level information and evaluation people number information;
tasting star-level information refers to evaluation made by an evaluator after tasting, evaluation is made in a star-shooting mode, five levels of 1 star, 1.5 stars, 2 stars, 2.5 stars and 3 stars are set respectively, and the evaluator makes evaluation according to taste of the delicious food;
when tasting the food, the specific steps are as follows:
step S11: after the positions of the gourmet staff and the appraisers are authorized, the position information of the gourmet staff and the appraisers is obtained;
step S12: when food is published, the position information is simultaneously published, and the server receives the position information and acquires the position information of an evaluator within 1-2 km near the food staff;
step S13: acquiring the total number of the appraised persons in the appraised person number information, setting a notification person number according to the total number of the appraised persons, sending a tasting signal to a customer service terminal corresponding to the appraiser by a server,
step S14: and the evaluator receives the tasting signal and reaches the designated position according to the position information of the client-side gourmet staff to taste the gourmet, evaluates the tasting signal after the tasting is finished by the evaluator, acquires the star-level grade in the tasting star-level information, and transmits the star-level grade to the evaluation analysis module.
Step S2: the food information acquisition module acquires food information through the client, and the automatic pushing module receives the food information to display and push the food information;
the method comprises the steps that an evaluator receives food picture information and food introduction information, the evaluator acquires a food manufacturing process according to the food introduction information and combines the food picture information to judge colors of food, a server sets color grades according to the colors of the food, and sets a first color grade, a second color grade, a third color grade and a fourth color grade respectively, the evaluator evaluates the color grades according to the acquired picture information and ingredient information in the food introduction information, and assigns values to the first color grade, the second color grade, the third color grade and the fourth color grade respectively.
And step S3: the food information acquisition module acquires the displayed and pushed evaluation information 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;
when the evaluation analysis module carries out evaluation analysis, the specific steps are as follows:
step S31, analyzing the evaluation content information, and after tasting, performing language evaluation by an evaluator according to tasting feeling, wherein the total content of the language evaluation is collectively referred to as the evaluation content information;
step S32: uniformly acquiring evaluation content information, acquiring evaluation word number and evaluation pictures of the evaluation content, if the picture information is more than S pieces, the word number is more than Sa, and setting different additional values according to different star grades in tasting star grade information;
step S33: and the evaluation analysis module distinguishes according to the memorability scores of different evaluation contents participated by the information of the number of evaluators, wherein the score of the tasting evaluators is more than the score of the picture evaluators.
Step S34: the maximum score of the taste evaluator was set as: PCFz; the maximum score of the picture evaluator was: TPFz; the taste rater scores and the picture rater scores are conveyed to a ranking module.
And 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, and carrying out grade evaluation by the grade evaluation module based on the evaluation data and the evaluation data.
The above formulas are all the formulas for taking the numerical value of the dimension, the formula is a formula for obtaining the latest real situation by software simulation of collected mass data, the preset parameters in the formula are set by the technical personnel in the field according to the actual situation, if the weight coefficient and the proportion coefficient exist, the set size is a specific numerical value obtained by quantizing each parameter, the subsequent comparison is convenient, and the size of the weight coefficient and the proportion coefficient can be obtained as long as the proportional relation between the parameter and the quantized numerical value is not influenced.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
As will be appreciated by one skilled in the art, 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 in the medium. The storage medium may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as a Static Random Access Memory (SRAM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), an Erasable Programmable Read-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), an on-Read Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk, or an 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-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (9)
1. The country gourmet creative system based on big data linkage management is characterized by comprising a gourmet 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 in data connection with the server;
the food information acquisition module acquires food information and evaluation information of country food staff;
the food information acquisition module acquires food information through a client, and the automatic pushing module receives the food information to display and push the food information;
the food information acquisition module acquires the displayed and pushed evaluation information 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; the evaluation data is transmitted to a rating module, which performs a rating based on the evaluation data and the evaluation data.
2. The village food creative system based on big data linkage management of claim 1, wherein the food information comprises food picture information, food publishing position information and food introduction information; the evaluation information comprises evaluation content information, tasting star-level information and evaluation people number information;
tasting star-level information refers to evaluation made by an evaluator after tasting, evaluation is made in a star-beating mode, five levels of evaluation of 1 star, 1.5 star, 2 star, 2.5 star and 3 star are respectively set, and the evaluator respectively makes evaluation according to taste of the delicious food, wherein 3 star is the highest star-level evaluation, and 1 star is the lowest star-level evaluation;
after the positions of the gourmet staff and the evaluators are authorized, the position information of the gourmet staff and the evaluators is obtained, when the gourmet is published, the position information is sent out at the same time, the server receives the position information, the position information of the evaluators within 1-2 km near the gourmet staff is obtained, the total number of the evaluators in the information of the number of the evaluators is obtained, the number of the evaluators is set according to the total number of the evaluators, the server sends a tasting signal to a customer service end corresponding to the evaluators, the evaluators receive the tasting signal and reach a designated position according to the position information of the gourmet staff at a client side, tasting the gourmet is carried out, the evaluators evaluate the tasting the gourmet staff after tasting, the star-level grade in the tasting star-level information is obtained, and the star-level grade is transmitted to an evaluation and analysis module;
and transmitting the food picture information, the food introduction information and the food receiving information to the automatic pushing module and the intelligent evaluation module.
3. The village food creative system based on big data linkage management of claim 2, characterized in that the number of the informed persons of the evaluators accounts for 30-40% of the total number of the evaluators, if the evaluators cannot taste the food, the evaluators send a "negative" instruction through the client, the server receives the negative instruction, according to the acquired position information, the evaluators send a taste instruction again to the corresponding evaluators, if the evaluators send a "confirm" instruction through the client, the server receives a confirm instruction, counts according to the number of the received "confirm" instruction until the "confirm" instruction accounts for 30-40% of the total number of the evaluators, the server sends a notification completion instruction, the evaluators who do not confirm receive the notification completion instruction through the client, and stops operating.
4. The village food creative system based on big data linkage management of claim 2, wherein the automatic pushing module receives food picture information and food introduction information in the food information, pushes evaluators participating in tasting, receives the food picture information and the food introduction information, the evaluators obtain a food manufacturing process according to the food introduction information in combination with the food picture information to judge colors of food, the server sets color grades according to food colors, and sets a first color grade, a second color grade, a third color grade and a fourth color grade respectively, the evaluators evaluate the color grades according to the obtained picture information and ingredient information in the food introduction information, and respectively assign the first color grade, the second color grade, the third color grade and the fourth color grade, the first color grade assignment is smaller than the second color grade assignment, the second color grade is smaller than the third color grade assignment, and the third color grade is smaller than the fourth color grade assignment.
5. The village food creative system based on big data linkage management of claim 2, wherein the evaluation analysis module receives evaluation content information, taste star level information and evaluation people number information in the evaluation information;
analyzing the evaluation content information, performing language evaluation by an evaluator according to tasting feeling after tasting, collectively referring to the total language evaluation content as the evaluation content information, uniformly acquiring the evaluation content information, acquiring evaluation word number of the evaluation content and an evaluation picture, if the picture information is more than S pieces, the word number is more than Sa, setting different additional values according to different star grades in the tasting star grade information, and gradually increasing the additional values from 1 star to 3 stars;
the evaluation analysis module distinguishes according to the memorability scores of different evaluation contents participated by the information of the number of evaluators, wherein the score of the taste evaluators is greater than the score of the picture evaluators, and the maximum score of the taste evaluators is set as follows: PCFz; the maximum score of the picture evaluator was: TPFz; the scores of the tasting evaluators and the scores of the picture evaluators are transmitted to a grade evaluation module; the taste rater score and the photo rater score were defined as rating data.
6. The village food creative system based on big data linkage management of claim 5, wherein the ranking module sets scores of five levels of 1 star, 1.5 star, 2 star, 2.5 star and 3 star according to the obtained evaluator scores;
the score of 3 stars is set as: PCFz; the 2.5 star score was set as: PCFz1; set the score of 2 stars as: PCFz2; the 1.5 star score was set as: PCFz3; set the score for 1 star 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 scores of the image evaluators;
setting a fourth color grade to be assigned as b, and setting the value obtained after assignment as: TPFz; the third color level is assigned as b1, and the score obtained after assignment is: (TPFz × b 1)/b; the second color class is assigned as b1, and the score obtained after assignment is: (TPFz × b 2)/b; the first color class is assigned as b1, and the score obtained after assignment is: (TPFz. Times.b 3)/b.
7. The village food creative system based on big data linkage management of claim 2, wherein 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 the food introduction information, transmitting the generated picture information to a food staff client through the client, receiving the picture information by the food staff to observe the color information of the picture information, judging whether the optimal color of the food is met, 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: ZNPDFz;
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 the three-level similarity score as: ZNPDFz; the secondary similarity score was: ZNPDFz1; the primary similarity score is: ZNPDFz2;
if not, regenerating standard picture information according to the food picture information and the 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 best color of the dish is met or not until the best color of the dish is met.
8. The village food creative system based on big data linkage management of claim 5, wherein the evaluation data is obtained according to the highest grade and the lowest grade of the obtained evaluation data; setting a grade threshold value; and (3) solving the highest grade: the highest grade is set as: DJZGFz;
and (3) solving the lowest grade: the lowest grade is set as: DJZDFz;
the grade threshold value is between [ DJZGFz, DJZDFz ], the grade evaluation module sets a first manual evaluation grade, a second manual evaluation grade, a third manual evaluation grade, a fourth manual evaluation grade and a fifth manual evaluation grade, the first manual evaluation grade is the lowest evaluation grade, and the fifth manual evaluation grade is the highest evaluation grade; the value of the score is between [ DJZGFz, DJZDFz ], and the score interval of each rating grade is set according to the score interval.
9. The village food creative system based on big data linkage management of claim 8, wherein when interval score is defined, the difference between DJZDFz and DJZDFz is found, the average value is found by dividing the difference by 5, and the average value is: PJSz;
the first artificial assessment grade value is between [ DJZGFz, DJZGFz + PJSz ], the second artificial assessment grade value is between [ DJZGFz + PJSz, DJZGFz +2 XPJSz ], the third artificial assessment grade value is between [ DJZGFz +2 XPJSz, JDJZGFz +3 XPJSz ], the fourth artificial assessment grade value is between [ DJZGFz +3 XPJSz, DJZGFz +4 XPJSz ], and the fifth artificial assessment grade value is between [ DJZGFz +4 XPz, DJZDFz ].
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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 |
|---|
| 王韵睿: "成都地区小型餐饮业微博营销传播策略——以"豪虾传"为例", 《中国优秀硕士学位论文全文数据库 经济与管理科学辑》, no. 06, pages 156 - 72 * |
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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 |