CN109726920B - Student intelligent management system based on big data - Google Patents
Student intelligent management system based on big data Download PDFInfo
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- CN109726920B CN109726920B CN201811638876.3A CN201811638876A CN109726920B CN 109726920 B CN109726920 B CN 109726920B CN 201811638876 A CN201811638876 A CN 201811638876A CN 109726920 B CN109726920 B CN 109726920B
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Abstract
The invention discloses a student intelligent management system based on big data, which comprises a student terminal system, a server and a canteen terminal system, wherein the canteen terminal system and the student terminal system are connected with the server through a wireless network. The menu adjusting module can adjust the supply volume of dish, and the guide module of having dinner carries out real-time regulation and control to the selling price of dish, carries out the drainage through the selection of price change to student's time of having dinner and dining room, prevents that time of having dinner and place are too concentrated, avoids producing the potential safety hazard, promotes the experience of having dinner simultaneously. The health management module can monitor the intake of various substances of the student according to the dining habits of the student, analyzes the dining habits of the student, reminds the student to have dinner on time, and carries out personalized recommendation according to the preferences of the student.
Description
Technical Field
The invention relates to a student management system, in particular to a student intelligent management system based on big data.
Background
When students are in the growth stage of the body, all parts of the organs of the whole body gradually develop and mature, the metabolism is vigorous, the activities are active and well-moving, and the activities are higher than those of any age group. This period is also the period of active thinking ability and strongest memory, and the learning task is very heavy and needs various examinations. The key point of the long body and knowledge is that the cerebral cortex of the students is in high tension for a long time, so the nutritional status of the students must pay great attention. Many facts indicate that nutrition has profound effects on not only body shape and function, but also intelligence and emotion of teenagers. More and more students select to study at school now, consequently need solve the problem of three meals in the school, and student quantity is numerous, the taste differs, the selection of menu is very important, simultaneously because the time of going to and going to class is comparatively concentrated, the time that the student has dinner is also relatively unified, in having lead to the time of having dinner, the student quantity in dining room increases suddenly, the management degree of difficulty is very big, there is very big potential safety hazard, consequently, need manage the regulation and control to student's three meals according to student's needs, guarantee student's health and safety.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide a student intelligent management system based on big data.
The technical problem to be solved by the invention is as follows:
(1) How to adjust the dishes according to the preference of students;
(2) How to guide students to have meals at different peaks;
(3) How to manage the eating habits of students.
The purpose of the invention can be realized by the following technical scheme:
the student intelligent management system based on the big data comprises a student terminal system, a server and a canteen terminal system, wherein the canteen terminal system and the student terminal system are connected with the server through a wireless network, each student is provided with one student terminal system, and each student terminal system comprises a positioning module, a health management module, a display module, a communication module and a canteen display module, wherein the health management module is used for monitoring the diet of the student and giving diet suggestions; the canteen display module is used for acquiring the listing selling price, the actual selling price and the special dishes of the dishes of each canteen;
the server comprises a communication module, a dining guide module, a data storage module, a menu adjusting module and a transaction recording module, wherein the dining guide module is used for shunting dining crowds and selecting preferential dishes, the menu adjusting module is used for analyzing the sales condition of each dish and giving hot-sold dishes, special dishes and predicted sales volume of each dish on the next day, and the transaction recording module is used for recording consumption information;
each dining room is provided with a dining room terminal system, each dining room terminal system comprises a display module, a communication module and a menu input module, and the menu input module is used for inputting the maximum dining number of the dining room and the name, the suggested selling price, the ingredient list and the supply amount of each dish in the menu;
the working steps of the server are as follows:
firstly, transmitting names, suggested selling prices, supply quantities, ingredient tables and nutrient substance comparison tables of all dishes to a data storage module for storage through a communication module of a canteen terminal system by a canteen worker through a menu input module;
after the student canteen consumes, the transaction recording module acquires consumption information containing student names, transaction time, dish names and purchase quantity, and stores the data in the data storage module;
step three, the menu adjusting module counts the daily sales volume of the dishes of each canteen according to the consumption information, calculates the digestibility S of the dishes, counts the number of people who continuously buy the same dish for three times and the average number of people who buy the dish every day, calculates the ratio of the two numbers as the buyback rate, ranks the dishes of each canteen according to the digestibility S and the buyback rate, if the digestibility S is the same, ranks the dish with a large supply amount earlier, if the buyback rate is the same, ranks the dish with a large supply amount earlier, takes the dish with a tenth of the digestibility S as a hot sell dish, takes the dish with a tenth of the buyback rate as a special dish, if the dish is a hot sell dish and a special dish simultaneously, takes the dish as a resident dish which can be supplied every day, continuously sells the hot sell dish and the special dish for no more than five days, and continuously sells no more than two days for other dishes; if the digestibility S of the dish is 100%, determining the expected sales volume of the dish on the next day to be 105% of the daily supply volume, if the digestibility S of the dish is not less than 50% and less than 100%, determining the expected sales volume of the dish on the next day to be 90% of the daily supply volume, and if the digestibility S of the dish is less than 50%, determining the expected sales volume of the dish on the next day to be 70% of the daily supply volume;
step four, the dining guiding module is used for guiding the dining to the following steps of 6:00-8:00, 11:00-13:00, 18:00-20:00 at fifteen minute intervalsThe method comprises the following steps that the number of student terminal systems in each dining room is obtained through a positioning module as the number of people having a meal in real time in an interval five minutes before the interval begins, the ratio T of the number of people having a meal in real time in each dining room to the maximum number of people having a meal in the interval begins is calculated respectively, the value T of each dining room in the same interval is counted as the meal condition of the next interval of a dining room, if the value T of all the dining rooms is smaller than 0.8, the hanging selling price P of the dishes of all the dining rooms in the next interval is the same as the suggested selling price, and if the value T of all the dining rooms is larger than 1.5, the hanging selling price of the dishes of all the dining rooms in the next interval is the same as the suggested selling price
If all the dining halls have dining halls with T less than 0.8 and T more than 1.5, the hanging plate selling price of the dishes in the next interval of all the dining halls with T more than 1.5 is provided
All 0.8<T<The listing selling price P of the dishes of the 1.5 canteen in the next interval is the same as the suggested selling price, and all the listing selling prices of the dishes of the canteen with T less than 0.8 in the next interval
Wherein p is 0 To suggest a selling price, K 1 And K 2 Is the coefficient of price expansion, K 3 Is a reduction factor of, and K 1 Greater than K 2 ，K 2 At least K 3 Twice of;
and step five, the dining guidance module counts the interval of each canteen T which is greater than 1, then counts the digestibility S of each dish after the three intervals of T which are greater than 1 pass through each canteen, and if the digestibility S of the dishes is less than 60%, the actual selling price Q = P- [ (0.6-S) P ] of the rest interval of the dishes in the time period.
Furthermore, the dining guiding module updates the listing selling price and the actual selling price of all dishes in the canteen in the next interval four minutes before the interval begins.
Further, when the students log in the student terminal system, the canteen display module acquires the T value of each canteen in the current interval, selects the canteen with the T value smaller than 0.8 as a recommended canteen, acquires the characteristic dishes and hot-sold dishes of the recommended canteen from the server, and downloads the latest hanging selling price and the actual selling price of the dishes of each canteen from the server.
Further, the health management module acquires the daily consumption information of the students from the server, obtains the intake of carbohydrates, proteins and vitamins as daily intake according to the ingredient table and the nutrient comparison table of the dishes, records the daily intake of the students in three months and stores the data in the storage unit in the health management module.
Further, the health management module acquires consumption information of nearly 30 days, the consumption information is used as dining time of three meals each day according to transaction time in the consumption information, intervals corresponding to the dining time are counted, the interval with the largest dining times in each time period is obtained and used as a customary dining interval, when the consumption information exceeds the customary dining interval and is not generated, a push message reminds students to have a meal on time, meanwhile, the health management module sorts dishes purchased in 30 days at least according to the purchase times according to the consumption information, the first ten dishes are selected as an alternative group, names of all dishes on the day are acquired from the server, dishes contained in the alternative group are screened out and used as recommended dishes, actual selling price, listing selling price and digestion rate of the recommended dishes are acquired from the server, and the message is pushed to the user.
The invention has the beneficial effects that:
(1) Menu adjusting module can adjust the supply of dish according to the student to the acceptance of dish, can guarantee that the dish is fresh also can prevent that the dish is extravagant, selects the favorite dish simultaneously and as resident dish, and unwelcome dish puts off as early as possible, guarantees the richness of dish, and then promotes the satisfied degree of student to the dining room.
(2) The guide module of having dinner carries out real-time regulation and control to the selling price of dish, and in the interval that the people are many, the price rises by a small margin, and in the interval that the people are few, the price descends, and through the selection of price change to student's time of having dinner and dining room drainage prevents that time of having dinner and place are too concentrated, avoids producing the potential safety hazard, promotes the experience of having dinner simultaneously.
(3) The health management module can monitor the intake of various substances of the student according to the dining habits of the student, analyzes the dining habits of the student, reminds the student to have dinner on time, and carries out personalized recommendation according to the preferences of the student.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Please refer to fig. 1, the embodiment provides a big data-based student intelligent management system, which includes a student terminal system, a server, and a dining room terminal system, wherein the dining room terminal system and the student terminal system are connected to the server through a wireless network, each student is equipped with a student terminal system, such as a mobile phone installed with client app or an intelligent wearable device with pre-fabricated system software, and the student terminal system includes a positioning module, a health management module, a display module, a communication module, and a dining room display module, wherein the health management module is used for monitoring the diet of the student and giving diet suggestions; the canteen display module is used for acquiring the listing selling price, the actual selling price and the special dishes of the dishes of each canteen;
the server comprises a communication module, a dining guide module, a data storage module, a menu adjusting module and a transaction recording module, wherein the dining guide module is used for shunting dining crowds and selecting preferential dishes, the menu adjusting module is used for analyzing the sales condition of each dish and giving hot-sold dishes, special dishes and the predicted sales volume of each dish in the next day, and the transaction recording module is used for recording consumption information;
each dining room is provided with a dining room terminal system, each dining room terminal system comprises a display module, a communication module and a menu input module, and the menu input module is used for inputting the maximum number of dinning people in the dining room and the name, the suggested selling price, the ingredient list and the supply amount of each dish in the menu;
the working steps of the server are as follows:
firstly, transmitting names, suggested selling prices, supply quantities, ingredient tables and nutrient substance comparison tables of all dishes to a data storage module for storage through a communication module of a canteen terminal system by staff of the canteen through a menu input module;
after the student canteen consumes, the transaction recording module acquires consumption information containing student names, transaction time, dish names and purchase quantity, and stores the data in the data storage module;
thirdly, the menu adjusting module counts the daily sales volume of the dishes in each canteen according to the consumption information and can calculate the daily sales volume of the dishes in each canteen according to a formula
Calculating the digestibility S of the dish, counting the number of people who continuously buy the same dish for three times and the average number of people who buy the dish every day, and calculating the ratio of the two as the buyback rate, wherein in one week, the time for putting the dish on shelf is Monday, tuesday, friday and Saturday, the continuous three-time purchase is calculated for the purchase of Monday, tuesday and Friday, the continuous three-time purchase is not calculated for the purchase of Monday, friday and Saturday, the dishes of each canteen are ranked according to the digestibility S and the buyback rate, if the digestibility S is the same, ranking with large supply amount is advanced, if the buyback rate is the same, ranking with large supply amount is advanced, the dish with the digestibility S top ten is taken as a hot-sold dish, the higher the digestibility is, the better the dish is bought and is favored by students, the dish with the buyback rate top ten is taken as a special dish, the higher the buyback rate is, the better the quality of the dish is, the quality is stable, and if the dish is a hot-sold dish and a special dish simultaneously, the dish is taken as a hot-sold dish and a special dish simultaneously, ranking with large supply amount is advancedThe dish is used as a resident dish which can be supplied every day, so that the sales volume can be guaranteed, hot-sold dishes and special dishes are continuously sold for no more than five days, the menu is updated, the richness of the dishes can be guaranteed, the dining experience of students is improved, and other dishes are continuously sold for no more than two days; if the digestibility S of the dish is not less than 50% and less than 100%, the expected sales volume of the dish next day is 90% of the daily supply volume, the dish is slightly remained, the supply volume can be slightly reduced, so that the waste of the dish is avoided, if the digestibility S of the dish is less than 50%, the student acceptance level is low, the supply volume of the dish needs to be greatly reduced, the waste is avoided, and the expected sales volume of the dish next day is determined as 70% of the daily supply volume;
step four, the dining guiding module is used for guiding the step 6:00-8:00, 11:00-13:00, 18:00-20:00, taking every fifteen minutes as an interval, taking five minutes before the interval starts, acquiring position information of students through a positioning module, comparing the position information of the dining rooms, regarding the students with the same position as the dining rooms as diners, further acquiring the number of student terminal systems in each dining room as the number of real-time diners, respectively calculating the ratio T of the number of real-time diners in each dining room before the interval starts to the maximum number of diners, and taking the ratio T as the dining condition of a next interval, wherein the larger the value T is, the larger the number of the students is, if the position information of 200 student terminal systems with the same position as the dining room before the certain interval starts in the dining room is acquired, the number of real-time diners can be 200, if the maximum number of diners designed for the dining room is 100, the value T is 2, counting the value T of each dining room in the same interval, if the value T of all the dining rooms is less than 0.8, the hanging sale price P of all the dishes in the next interval is the same as the suggested hanging sale price, if all the dishes in the next interval are more than 1.5, and the hanging price of all the dining rooms is less than 1.5, then the hanging price of all the hung price of the dishes in the next interval
If all the dining halls have dining halls with T less than 0.8 and T more than 1.5, the hanging plate selling price of the dishes in the next interval of all the dining halls with T more than 1.5 is provided
All 0.8<T<The listing selling price P of the dishes of the 1.5 canteen in the next interval is the same as the suggested selling price, and all the listing selling prices of the dishes of the canteen with T less than 0.8 in the next interval
Wherein p is 0 To suggest a selling price, K 1 And K 2 Is the coefficient of price expansion, K 3 Is a reduction factor of, and K 1 Greater than K 2 ，K 2 At least K 3 Twice of; the hanging selling price is related to the dining condition of the dining room, if all the dining rooms are idle, the non-common dining time is shown, no pressure of overlarge flow exists, the suggested selling price is equal to the hanging selling price at the moment, and if all the dining rooms have higher pressure of the flow, the selling price can be improved according to the pressure condition, and students are led to other times for dining; if some canteens pressure is big, some canteens pressure is little, then need to lead the student to other canteens through setting up different sales promotion ranges of discounting, the higher canteens price rise slightly, and the less canteens of pressure selects to keep original price or sales promotion of discounting according to the pressure size.
And step five, the dining guidance module counts intervals with T being larger than 1 of each dining room, and then counts the digestibility S of each dish after the three intervals with T being larger than 1 of each dining room, and after the three intervals with T being larger than 1, the dining peak passes through, if the digestibility S of the dish is smaller than 60%, the actual selling price Q = P- [ (0.6-S) P ] of the dish in the remaining interval in the time period can be realized, different dish selling condition differences can exist in the same dining room, in order to ensure that all dishes are sold as far as possible, dishes with poorer selling conditions can be discounted after the peak period, the less the selling quantity is, the larger the discount amplitude is.
And the dining guide module updates the listing selling price and the actual selling price of all dishes in the dining hall in the next interval four minutes before the interval begins.
When a student logs in a student terminal system, the canteen display module acquires the T value of each canteen in the current interval, selects the canteen with the T value smaller than 0.8 as a recommended canteen, acquires the special dishes and hot-sold dishes of the recommended canteen from the server, and downloads the latest hang tag selling price and actual selling price of the dishes of each canteen from the server. The most popular dishes and the selling price of the canteens with less people stream pressure are displayed for the students, and the students can conveniently select the dishes.
The health management module acquires the consumption information of the students in one day from the server, the intake of carbohydrates, proteins and vitamins is obtained as the daily intake according to the ingredient table and the nutrient comparison table of the dishes, the daily intake of the students in three months is recorded, the data is stored in the storage unit in the health management module, the dietary data is acquired through the consumption information, the intake of various nutrients is further acquired, the data is stored, and the students can conveniently manage the diet.
The health management module obtains consumption information of nearly 30 days, the consumption information is used as dining time of three meals every day according to transaction time in the consumption information, each interval corresponding to the dining time is counted, an interval with the largest dining times in each time period is obtained and used as a habit dining interval, when the consumption information exceeds the habit dining interval and is not generated, a student is reminded of dining on time through push messages, meanwhile, dishes purchased in 30 days are sorted according to the consumption information at least according to the purchase times, the first ten dishes are selected as an alternative group, names of all dishes in the day are obtained from a server, the dishes contained in the alternative group are screened out and used as recommended dishes, actual selling price, listing selling price and digestion rate of the recommended dishes are obtained from the server, and the messages are pushed to the user. Can go out the dining time of the dining and the custom that the student liked according to consumption information analysis to remind the user to have dinner, select the dish information that the user probably liked according to the hobby simultaneously, make things convenient for the student to select, be favorable to the student to form good eating habit simultaneously.
This embodiment is at the course of the work, and menu adjusting module can also prevent that the vegetable is extravagant according to the supply volume that the student adjusted the vegetable to the acceptance of vegetable, can guarantee that the vegetable is fresh, selects the favorite vegetable as resident dish simultaneously, and unwelcome dish puts off as early as possible, guarantees the richness of vegetable, and then promotes the satisfied degree of student to the dining room. The guide module of having dinner carries out real-time regulation and control to the selling price of dish, and in the interval that the people are many, the price rises by a small margin, and in the interval that the people are few, the price descends, carries out the drainage through the selection of price change to student's time of having dinner and dining room, prevents that time of having dinner and place are too concentrated, avoids producing the potential safety hazard, promotes the experience of having dinner simultaneously. The health management module can monitor the intake of various substances of the student according to the dining habits of the student, analyzes the dining habits of the student, reminds the student to have a dinner on time, and carries out personalized recommendation according to the hobbies of the student.
The foregoing is merely illustrative and explanatory of the present invention and various modifications, additions or substitutions may be made to the specific embodiments described by those skilled in the art without departing from the scope of the invention as defined in the accompanying claims.
Claims (5)
1. An intelligent student management system based on big data comprises student terminal systems, a server and a canteen terminal system, and is characterized in that the canteen terminal systems and the student terminal systems are connected with the server through a wireless network, each student is provided with one student terminal system, each student terminal system comprises a positioning module, a health management module, a display module, a communication module and a canteen display module, and the health management module is used for monitoring diet of the students and giving diet suggestions; the canteen display module is used for acquiring the listing selling price, the actual selling price and the special dishes of the dishes of each canteen;
the server comprises a communication module, a dining guide module, a data storage module, a menu adjusting module and a transaction recording module, wherein the dining guide module is used for shunting dining crowds and selecting preferential dishes, the menu adjusting module is used for analyzing the sales condition of each dish and giving hot-sold dishes, special dishes and predicted sales volume of each dish on the next day, and the transaction recording module is used for recording consumption information;
each dining room is provided with a dining room terminal system, each dining room terminal system comprises a display module, a communication module and a menu input module, and the menu input module is used for inputting the maximum dining number of the dining room and the name, the suggested selling price, the ingredient list and the supply amount of each dish in the menu;
the working steps of the server are as follows:
firstly, transmitting names, suggested selling prices, supply quantities, ingredient tables and nutrient substance comparison tables of all dishes to a data storage module for storage through a communication module of a canteen terminal system by a canteen worker through a menu input module;
after the student canteens consume, the transaction recording module acquires consumption information containing student names, transaction time, dish names and purchase quantity, and stores the data in the data storage module;
step three, the menu adjusting module counts the daily sales volume of the dishes of each canteen according to the consumption information, calculates the digestibility S of the dishes, counts the number of people who continuously buy the same dish for three times and the average number of people who buy the dish every day, calculates the ratio of the two numbers as the buyback rate, ranks the dishes of each canteen according to the digestibility S and the buyback rate, if the digestibility S is the same, ranks the dish with a large supply amount earlier, if the buyback rate is the same, ranks the dish with a large supply amount earlier, takes the dish with a tenth of the digestibility S as a hot sell dish, takes the dish with a tenth of the buyback rate as a special dish, if the dish is a hot sell dish and a special dish simultaneously, takes the dish as a resident dish which can be supplied every day, continuously sells the hot sell dish and the special dish for no more than five days, and continuously sells no more than two days for other dishes; if the digestibility S of the dish is 100%, determining the expected sales volume of the dish on the next day to be 105% of the daily supply volume, if the digestibility S of the dish is not less than 50% and less than 100%, determining the expected sales volume of the dish on the next day to be 90% of the daily supply volume, and if the digestibility S of the dish is less than 50%, determining the expected sales volume of the dish on the next day to be 70% of the daily supply volume;
step four, the dining guiding module is used for guiding the dining to the following steps of 6:00-8:00, 11:00-13:00, 18:00-20:00 every fifteen minutes is taken as an interval in the three time periods, five minutes before the interval begins, the number of student terminal systems in each dining room is obtained through the positioning module to serve as the number of people having meals in real time, the ratio T of the number of people having meals in real time in each dining room before the interval begins to be the maximum number of people having meals is respectively calculated, the dining condition of the next interval of the dining room is taken as the dining condition, the T value of each dining room in the same interval is counted, if the T values of all the dining rooms are smaller than 0.8, the hanging plate selling price P of the dishes of all the dining rooms in the next interval is the same as the suggested selling price, and if the T values of all the dining rooms are larger than 1.5, the hanging plate selling price of the dishes of all the rooms in the next interval is obtained
If all the dining halls have dining halls with T less than 0.8 and T more than 1.5, the hanging plate selling price of the dishes in the next interval of all the dining halls with T more than 1.5 is provided
All 0.8<T<The listing selling price P of the dishes of the 1.5 canteen in the next interval is the same as the suggested selling price, and all the listing selling prices of the dishes of the canteen with T less than 0.8 in the next interval
Wherein p is 0 To suggest a selling price, K 1 And K 2 Is the coefficient of price rise, K 3 Is a reduction factor of, and K 1 Greater than K 2 ，K 2 At least K 3 Twice of;
and step five, the dining guidance module counts intervals of each dining hall T which are larger than 1, then counts the digestibility S of each dish after the three intervals of T which are larger than 1 of each dining hall, and if the digestibility S of the dishes is smaller than 60%, the actual selling price Q = P- [ (0.6-S) P ] of the dish in the remaining interval in the time period.
2. The student intelligent management system based on big data as claimed in claim 1, wherein the dining guidance module updates the listing selling price and the actual selling price of all dishes in the canteen in the next interval four minutes before the interval starts.
3. The student intelligent management system based on big data as claimed in claim 1, wherein when a student logs in a student terminal system, the canteen display module obtains a T value of each canteen in a current section, selects a canteen with a T value less than 0.8 as a recommended canteen, obtains special dishes and hot-sell dishes of the recommended canteen from a server, and simultaneously downloads a latest hang-up selling price and an actual selling price of the dishes of each canteen from the server.
4. The intelligent management system for students based on big data as claimed in claim 1, wherein the health management module obtains the daily consumption information of students from the server, obtains the intake of carbohydrates, proteins and vitamins as daily intake according to the ingredient table and the nutrient comparison table of dishes, records the daily intake of students in the last three months, and stores the data in the storage unit in the health management module.
5. The student intelligent management system based on big data as claimed in claim 1, wherein the health management module obtains consumption information of nearly 30 days, takes transaction time in the consumption information as dining time of three meals a day, counts each interval corresponding to the dining time, obtains an interval with the largest number of dining times in each time period as a habitual dining interval, when the habitual dining interval is exceeded and no consumption information is generated, pushes messages to remind students to have a dinner on time, meanwhile, the health management module sorts dishes purchased in 30 days at least according to the number of purchasing times according to the consumption information, selects the first ten dishes as an alternative group, obtains names of all dishes in the day from the server, screens out dishes contained in the alternative group as recommended dishes, obtains actual selling price, hang-up selling price and digestibility of the recommended dishes from the server, and pushes messages to users.
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| CN110111216B (en) * | 2019-05-13 | 2024-02-06 | 西南民族大学 | School service platform based on cloud computing |
| CN110363618B (en) * | 2019-06-14 | 2020-11-24 | 口碑(上海)信息技术有限公司 | Recommendation method, device and equipment |
| CN110519570B (en) * | 2019-09-11 | 2020-11-06 | 安徽璞华大数据技术有限公司 | Data application system based on campus monitoring |
| CN111028916A (en) * | 2019-11-15 | 2020-04-17 | 珠海格力电器股份有限公司 | Diet monitoring method and device, electronic equipment and storage medium |
| CN113570136B (en) * | 2021-07-26 | 2024-03-08 | 广州宏途数字科技有限公司 | Dining prediction method for students after school |
| CN115412858B (en) * | 2022-11-02 | 2023-01-06 | 北京中联国成科技有限公司 | Data recommendation method and system based on wearable device |
| CN116364241B (en) * | 2023-03-31 | 2024-02-09 | 湖南安智网络科技有限公司 | Management method of canteen cloud monitoring system |
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