A student nutrition meal management system based on big data analysis

Abstract

The present invention belongs to the technical field of student nutrition meal management, and specifically discloses a student nutrition meal management system based on big data analysis, the system comprising: a student list generation module, a meal list generation module, a nutrition meal design module, a health monitoring and analysis module, a nutrition meal adjustment module, a database and a student meal feedback module; when preparing nutrition meals for students, the present invention prepares nutrition meals in combination with individual differences of students, fully pays attention to the differences between individual students, improves the pertinence of nutrition meals, and eliminates and supplements corresponding nutrition meals according to the allergic conditions of allergic students, thereby improving the flexibility of nutrition meals and the rationality of nutrition meals, and at the same time, by conducting regular physical examinations on students and making corresponding adjustments according to the physical examination results, the nutrition meals of each student are verified again, and the timeliness of the adjustment of nutrition meals is guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of student nutrition meal planning management, and relates to a student nutrition meal planning management system based on big data analysis. Background Art

[0002] Student nutrition meal management refers to providing students with balanced and nutritious meals through scientific methods and systematic planning, ensuring that students can obtain the necessary nutritional support during their growth and development stages.

[0003] The current student nutrition meal management is mainly unified, and there are still several deficiencies: 1. Nutrition meals are not prepared in accordance with the individual differences of students, which makes the nutrition meals less targeted and thus cannot guarantee the effectiveness of nutrition meals.

[0004] 2. No dynamic adjustments were made based on students’ allergies and various indicators, resulting in a lack of flexibility in nutritional meal planning and a lack of rationality in nutritional meal planning.

[0005] 3. The nutritional meals were not re-verified and adjusted accordingly, which made it impossible to ensure the timeliness of the adjustment of the nutritional meals. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a student nutrition meal management system based on big data analysis is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a student nutrition meal management system based on big data analysis, the system comprising: a student list generation module, used to extract the current physical examination reports of each student, and perform nutritional needs analysis, while extracting the name, gender and allergy elements of each student, and generating a list of student information in combination with the nutritional needs analysis results.

[0008] The meal list generation module is used to extract the names of the initially set meal items in the current meal cycle, the nutritional elements and the set ratios of the nutritional elements, and generate a meal information list.

[0009] The nutritional meal design module is used to compare the student information list with the meal information list, and design the nutritional meal for each student based on the comparison results to obtain the appropriate nutritional meal plan for each student.

[0010] The health monitoring and analysis module is used to set a monitoring period to conduct a re-examination of each student, and analyze the health improvement consistency of each student based on the re-examination report.

[0011] The nutrition meal adjustment module is used to adjust the students' nutrition meal when the health improvement consistency is less than 0, and obtain the students' nutrition meal adjustment information.

[0012] The database is used to store the reference index value and reference index value interval corresponding to each index item of each gender, and store the nutritional elements corresponding to each index item.

[0013] The student meal feedback module is used to feed back the student nutrition meal adjustment information to the nutrition meal platform, and then generate a nutrition meal plan for the next cycle.

[0014] Furthermore, the nutritional needs analysis includes: extracting the index value of each index item from the physical examination report of each student, and extracting the reference index value interval corresponding to each index item under the gender of each student from the database.

[0015] The indicator value of each student corresponding to each indicator item is compared with its reference indicator value range. If the indicator value of a student corresponding to a certain indicator item is not within its reference indicator value range, then the indicator item is used as a deviation indicator item to screen out the deviation indicator items corresponding to each student.

[0016] The nutritional elements associated with and supplemented by each deviation indicator item are extracted from the database as each requirement element, and each requirement element is used as a nutritional requirement analysis result.

[0017] Furthermore, the nutritional meal design for each student includes A1, counting the deviation degree of each student corresponding to each deviation index item as the demand degree of each student corresponding to each demand element, and matching and comparing with the demand degree interval corresponding to each suitable meal frequency, and using the matched suitable meal frequency as the reference meal frequency.

[0018] A2. If the number of allergic elements of a student is not 0, the student is recorded as an allergic student, and the target meal information list of the allergic students is confirmed.

[0019] A3. If the number of allergic elements of a student is 0, the meal information list is used as the target meal information list of the student, and the number of associated meal items and the total number of meal items corresponding to each demand element of the student are extracted from it, and the ratio of the two is used as the actual meal frequency of each demand element of the student, so as to obtain the actual meal frequency of each student corresponding to each demand element.

[0020] A4. According to the statistical method of the actual frequency of meal distribution for each student corresponding to each demand element, the frequency of meal distribution for each student corresponding to each demand element after adjustment is statistically analyzed.

[0021] A5. Difference the adjusted meal frequency of each student corresponding to each demand element and the reference meal frequency. If the difference is within the set meal frequency difference range of the demand element, the adjusted meal frequency of each student corresponding to each demand element will be used as the target meal frequency. Otherwise, the reference meal frequency will be used as the target meal frequency of each student corresponding to each demand element, and appropriate nutrition meal plans for each student will be generated accordingly.

[0022] Furthermore, the target meal list for allergic students is confirmed, including: removing the associated meal items corresponding to each allergic element of the allergic students from the meal list, and counting the number of removed meal items as the number of meals to be supplemented, recorded as .

[0023] A meal preparation information database is extracted from the nutritional meal preparation platform, and meal preparation products that do not contain allergenic elements in their constituent nutritional elements are screened out from the meal preparation information database and recorded as supplementary meals.

[0024] According to the set ratio of each nutritional element of each supplementary meal, analyze the recommended index of each supplementary meal, and sort the supplementary meals from large to small according to the recommended index. The supplementary meals in the positions are used as target supplementary meals, and then a meal information list is constructed based on the target supplementary meals and the meals that are not eliminated, and the list is used as the target meal information list for students with allergies.

[0025] Furthermore, the analyzing the recommendation index of each supplementary meal includes: taking the nutrient element with the largest set ratio of the constituent nutrient elements as the main nutrient element of the supplementary meal.

[0026] The main nutritional elements of each supplementary meal are matched and compared with each required element, and the weight of each supplementary meal is set, which is recorded as , To add the meal number, .

[0027] Match the nutritional elements of each supplementary meal with the required elements, and count the number of matching required elements of each supplementary meal, recorded as , and record the number of nutrient elements in each supplementary meal as .

[0028] Calculate the recommended index of each supplementary meal , , The ratio of the number of demand elements to set the reference.

[0029] Furthermore, the analysis of the health improvement conformity of each student includes: extracting the index value of each student corresponding to each non-deviation index item from the current physical examination report of each student and the physical examination report of the re-examination, and recording them as and , For the student number, , is the number of the unbiased indicator item, .

[0030] Calculate the unbiased index of each student , , To set the reference The difference in the index values ​​of the unbiased index items, represents a natural constant, Indicates the floor symbol, is the number of unbiased indicator items.

[0031] The corresponding index values ​​of each deviation index item are extracted from the physical examination report of the re-examination, recorded as the verification index value of each deviation index item, and then the deviation index improvement index of each student is calculated. .

[0032] According to the index value of each index item, the health index is obtained through the health index statistical model, and then the current health index of each student and the health index of each student's re-examination are obtained, which are recorded as and .

[0033] Calculate the health improvement index of each student , .

[0034] Statistical analysis of the health improvement compliance of each student , , , , , , and They are the set reference non-biased index match index, reference deviation index improvement index, reference health improvement index, the weight of the non-biased index match index, the weight of the deviation index improvement index and the weight of the health improvement index. , .

[0035] Furthermore, the statistical improvement index of the deviation index of each student includes: matching and comparing the verification index value of each deviation index item of each student with the reference index value interval of each deviation index item; if the verification index value of a deviation index item of a student is within the reference index value interval of the deviation index item, then the deviation index item of the student is recorded as an improved index item, and the number of improved index items of each student is counted, recorded as , and the number of deviation indicators for each student is recorded as .

[0036] Calculate the deviation index improvement index of each student , , The ratio of the number of improved indicator items used to set the reference.

[0037] Furthermore, the adjustment of student nutrition meals includes: according to the unbiased index matching index of each student and each student's deviation index improvement index , confirm the meal matching factor item, and the meal matching factor item is one or more of the meal matching singleness and meal matching frequency imbalance.

[0038] When the meal matching factor item is imbalanced meal matching frequency, each imbalanced nutrient element and an adjustment type of each imbalanced nutrient element are confirmed, and the adjustment type is one of an increase and a decrease.

[0039] According to the adjustment type of each unbalanced nutrient element, the imbalance degree of each unbalanced nutrient element is counted, and matched and compared with the imbalance degree corresponding to each adjusted meal frequency, to obtain the matched adjusted meal frequency of each unbalanced nutrient element, and then the adjustment type of each unbalanced nutrient element and the matched adjusted meal frequency are used as adjustment information.

[0040] When the meal matching factor item is single meal matching, the meal matching items in the current period are extracted from the meal matching information list, and the meal matching items with the same name are recorded as the same type of meal matching items. The number of current meal matching types is counted, and the total number of meal matching types is extracted from the meal matching information list.

[0041] Compare the current number of meal types with the total number of meal types, and record the ratio as the current meal variety richness. Based on this, confirm the number of supplementary meal types and use it as nutritional meal adjustment information.

[0042] Furthermore, the confirmation of the meal matching factor item includes: if and , then the meal matching factor item is single meal matching.

[0043] like and , then the meal matching factor is the imbalance of meal matching proportion.

[0044] like and , then the factors leading to meal matching are single meal matching and unbalanced meal matching proportion.

[0045] Furthermore, the confirming of each unbalanced nutrient element and the adjustment type of each unbalanced nutrient element includes: if the index value of a deviation index item in the re-physical examination report is greater than the upper limit value of the reference index value interval corresponding to the deviation index item, the deviation index item is recorded as a verified excess item.

[0046] If the indicator value of a deviation indicator item in the re-physical examination report is less than the lower limit of the reference indicator value interval corresponding to the deviation indicator item, the deviation indicator item shall be recorded as a verification deficiency item.

[0047] The required elements corresponding to each verified excess item and each verified deficiency item are regarded as each unbalanced nutrient element.

[0048] The adjustment type of the unbalanced nutrient element corresponding to the verified excess item is recorded as a decrease, and the adjustment type of the unbalanced nutrient element corresponding to the verified deficiency item is recorded as an increase, thereby obtaining the adjustment type of each unbalanced nutrient element.

[0049] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) When formulating nutritional meals for students, the present invention takes into account the individual differences of students, fully pays attention to the differences between individual students, improves the targeted nature of nutritional meals, thereby ensuring the effectiveness of nutritional meals, and at the same time improves students' acceptance and satisfaction with nutritional meals.

[0050] (2) The present invention constructs a list of student information and a list of meal information, and conducts comparative analysis to confirm the nutritional meal design for each student, provide a variety of nutritional meal options, achieve balanced nutritional meals, and increase students' interest in nutritional meals, which helps to maintain a balanced and diverse diet.

[0051] (3) The present invention eliminates corresponding nutritional meals according to the allergic conditions of allergic students, and supplements the nutritional meals by the number of meal items associated with the required elements, thereby improving the flexibility of nutritional meals and the rationality of nutritional meals.

[0052] (4) The present invention conducts regular physical examinations on students and makes corresponding adjustments based on the results of the physical examinations, thereby achieving re-verification of the nutritional meal plans for each student, ensuring the timeliness of the nutritional meal adjustments, and helping to provide students with personalized nutritional meal plans to meet their specific health needs. At the same time, timely adjustments are made to unbalanced nutritional elements intake, thereby better promoting the all-round development and healthy growth of students. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0054] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] See also Figure 1 As shown, the present invention provides a student nutrition meal management system based on big data analysis, which includes: a student list generation module, a meal list generation module, a nutrition meal design module, a health monitoring and analysis module, a nutrition meal adjustment module, a database and a student meal feedback module.

[0057] In the above, the nutritional meal design module is connected to the student list generation module, the meal list generation module, the database and the health monitoring and analysis module respectively; the health monitoring and analysis module is connected to the student list generation module, the database and the nutritional meal adjustment module; and the nutritional meal adjustment module is also connected to the database and the student meal feedback module.

[0058] The student list generation module is used to extract the physical examination reports of each current student and perform nutritional needs analysis, while extracting the name, gender and allergy elements of each student, and generating a list of information of each student in combination with the nutritional needs analysis results.

[0059] Exemplarily, the nutritional needs analysis includes: extracting the index value of each index item from the physical examination report of each student, and extracting the reference index value range of each index item corresponding to the gender of each student from the database.

[0060] The indicator value of each student corresponding to each indicator item is compared with its reference indicator value range. If the indicator value of a student corresponding to a certain indicator item is not within its reference indicator value range, then the indicator item is used as a deviation indicator item to screen out the deviation indicator items corresponding to each student.

[0061] The nutritional elements associated with and supplemented by each deviation indicator item are extracted from the database as each requirement element, and each requirement element is used as a nutritional requirement analysis result.

[0062] The meal list generation module is used to extract the names of each initially set meal item in the current meal cycle, each component nutrient element and the set ratio of each component nutrient element, and generate a meal information list.

[0063] The nutritional meal design module is used to compare the student information list with the meal information list, and to design nutritional meals for each student based on the comparison result to obtain a suitable nutritional meal plan for each student.

[0064] The embodiment of the present invention constructs a student information list and a meal information list, and performs comparative analysis to confirm the nutritional meal design for each student, provide diverse nutritional meal options, achieve balanced nutritional meals, and increase students' interest in nutritional meals, which helps to maintain a balanced and diverse diet.

[0065] Exemplarily, the nutritional meal design for each student includes: A1, counting the deviation degree of each student corresponding to each deviation index item as the demand degree of each student corresponding to each demand element, and matching and comparing with the demand degree interval corresponding to each suitable meal frequency, and using the matched suitable meal frequency as the reference meal frequency.

[0066] It should be added that the specific statistical process of calculating the deviation degree of each student corresponding to each deviation index item is as follows: the index value of each deviation index item corresponding to each student is recorded as , is the deviation indicator item number, .

[0067] Extract the reference index value of each deviation index item of each student's corresponding gender from the database, and record it as .

[0068] Count the deviation of each student corresponding to each deviation indicator item , , To set the reference The difference in the index values ​​of the deviation index items.

[0069] It should also be added that It is extracted from the student health assessment specification form.

[0070] A2. If the number of allergic elements of a student is not 0, the student is recorded as an allergic student, and the target meal information list of the allergic students is confirmed.

[0071] Furthermore, the target meal information list for allergic students includes: A2-1, removing the associated meal items corresponding to each allergic element of the allergic students from the meal information list, and counting the number of removed meal items as the number of meals to be supplemented, recorded as .

[0072] A2-2. Extract a meal information database from the nutritional meal platform, and screen out meal items that do not contain allergenic elements in their nutritional components from the meal information database, and record them as supplementary meals.

[0073] A2-3. Analyze the recommended index of each supplementary meal according to the set ratio of each nutritional element in each supplementary meal, and sort the supplementary meals from large to small according to the recommended index. The supplementary meals in the positions are used as target supplementary meals, and then a meal information list is constructed based on the target supplementary meals and the meals that are not eliminated, and the list is used as the target meal information list for students with allergies.

[0074] Furthermore, the analysis of the recommendation index of each supplementary meal includes: A2-3-1, taking the nutrient element with the largest set ratio of the constituent nutrient elements as the main nutrient element of the supplementary meal.

[0075] A2-3-2. Match and compare the main nutritional elements of each supplementary meal with the required elements, and set the weight of each supplementary meal, recorded as , To add the meal number, .

[0076] It should be added that the specific setting process of setting the weight of each supplementary meal is as follows: if the main nutrient element of a supplementary meal is consistent with a required element, the required degree of the required nutrient element is recorded as , set the weight of the supplementary meal, recorded as , , The requirement degree of the requirement element to which the reference is set.

[0077] It should also be added that It is extracted from the student health assessment specification form.

[0078] If the main nutrient element of a supplementary meal does not match any of the required elements, the weight of the supplementary meal is recorded as 0, so as to obtain the weight of each supplementary meal. , The value of or 0.

[0079] A2-3-3. Match the nutritional elements of each supplementary meal with the required elements, and count the number of matching required elements of each supplementary meal, recorded as , and record the number of nutrient elements in each supplementary meal as .

[0080] A2-3-4. Calculate the recommended index of each supplementary meal , , The ratio of the number of demand elements to set the reference.

[0081] It should be added that when the ratio of the number of matching elements of the supplementary meal to the number of nutritional elements in the supplementary meal is greater than 0.8, it indicates that the supplementary meal is a suitable supplementary meal. The value can be 0.8.

[0082] The embodiment of the present invention eliminates corresponding nutritional meals according to the allergic conditions of allergic students, and supplements the nutritional meals by the number of associated meal items of the demand elements, thereby improving the flexibility of the nutritional meals and also improving the rationality of the nutritional meals.

[0083] A3. If the number of allergic elements of a student is 0, the meal information list is used as the target meal information list of the student, and the number of associated meal items and the total number of meal items corresponding to each demand element of the student are extracted from it, and the ratio of the two is used as the actual meal frequency of each demand element of the student, so as to obtain the actual meal frequency of each student corresponding to each demand element.

[0084] A4. According to the statistical method of the actual frequency of meal distribution for each student corresponding to each demand element, the frequency of meal distribution for each student corresponding to each demand element after adjustment is statistically analyzed.

[0085] A5. Difference the adjusted meal frequency of each student corresponding to each demand element and the reference meal frequency. If the difference is within the set meal frequency difference range of the demand element, the adjusted meal frequency of each student corresponding to each demand element will be used as the target meal frequency. Otherwise, the reference meal frequency will be used as the target meal frequency of each student corresponding to each demand element, and appropriate nutrition meal plans for each student will be generated accordingly.

[0086] When preparing nutritional meals for students, the embodiments of the present invention prepare nutritional meals based on individual differences of students, thereby fully paying attention to the differences between individual students, improving the targeted nature of nutritional meals, thereby ensuring the effectiveness of nutritional meals, and at the same time improving students' acceptance and satisfaction with nutritional meals.

[0087] The health monitoring and analysis module is used to set a monitoring period to conduct a re-examination of each student, and analyze the health improvement conformity of each student based on the re-examination report.

[0088] Exemplarily, the analysis of the health improvement conformity of each student includes: extracting the index value of each student corresponding to each unbiased index item from the current physical examination report of each student and the physical examination report of the re-examination, and recording them as and , For the student number, , is the number of the unbiased indicator item, .

[0089] Calculate the unbiased index of each student , , To set the reference The difference in the index values ​​of the unbiased index items, represents a natural constant, Indicates the floor symbol, is the number of unbiased indicator items.

[0090] It should be added that It is extracted from the student health assessment specification form.

[0091] The corresponding index values ​​of each deviation index item are extracted from the physical examination report of the re-examination, recorded as the verification index value of each deviation index item, and then the deviation index improvement index of each student is calculated. .

[0092] Furthermore, the statistical improvement index of the deviation index of each student includes: matching and comparing the verification index value of each deviation index item of each student with the reference index value interval of each deviation index item; if the verification index value of a deviation index item of a student is within the reference index value interval of the deviation index item, then the deviation index item of the student is recorded as an improved index item, and the number of improved index items of each student is counted, recorded as , and the number of deviation indicators for each student is recorded as .

[0093] Calculate the deviation index improvement index of each student , , The ratio of the number of improved indicator items used to set the reference.

[0094] It should be added that when the ratio of the number of improved index items to the number of deviation index items is greater than 0.9, it indicates that the improvement state of the deviation index items is ideal. The value can be 0.9.

[0095] According to the index value of each index item, the health index is obtained through the health index statistical model, and then the current health index of each student and the health index of each student's re-examination are obtained, which are recorded as and .

[0096] It should be added that the indicator items include but are not limited to height, weight and blood pressure.

[0097] It should be added that the specific statistical process of the health index statistical model is as follows: the height, weight and blood pressure of each student are extracted from the current physical examination report and recorded as , and .

[0098] Statistical analysis of the current health index of each student , , , and The height, weight and blood pressure of each student are set respectively. , and The height difference, weight difference and blood pressure difference are set as the reference. , and They are the set reference height health weight, reference weight health weight and reference blood pressure health weight. , .

[0099] The health index of each student's re-examination is obtained by the same statistical method using the current statistical method of each student's health index.

[0100] It should be added that height reflects long-term nutritional status and growth and development level, weight reflects energy balance and total body fat, and is an important indicator for assessing overweight and obesity. Blood pressure is an important indicator of cardiovascular health. Hypertension may be a risk factor for a variety of cardiovascular diseases. Therefore, , for the convenience of analysis, the health weight can be specifically taken as , and .

[0101] It should also be added that , , , , and All are extracted from the student health assessment specification form.

[0102] Calculate the health improvement index of each student , .

[0103] Statistical analysis of the health improvement compliance of each student , , , , , , and They are the set reference non-biased index match index, reference deviation index improvement index, reference health improvement index, the weight of the non-biased index match index, the weight of the deviation index improvement index and the weight of the health improvement index. , .

[0104] It should be added that the weight of the non-deviation index match index is larger because preventing nutritional deviation is more important and effective than treating nutritional deviation that has already occurred. The weight of the deviation index improvement index is second because timely intervention and improvement are necessary once nutritional deviation occurs. The weight of the health improvement index is the smallest because health improvement is a long-term process that needs to be gradually achieved on the basis of prevention and early intervention. Therefore, , for the convenience of analysis, the weight can be taken as , and .

[0105] It should be added that , and All are extracted from the student health assessment specification form.

[0106] The nutrition meal adjustment module is used to adjust the students' nutrition meal when the health improvement consistency is less than 0, and obtain the students' nutrition meal adjustment information.

[0107] Exemplarily, the adjustment of student nutrition meal distribution includes: according to the unbiased index matching index of each student and each student's deviation index improvement index , confirm the meal matching factor item, and the meal matching factor item is one or more of the meal matching singleness and meal matching frequency imbalance.

[0108] Furthermore, the confirmation of the meal matching factor item includes: if and , then the meal matching factor item is single meal matching.

[0109] like and , then the meal matching factor is the imbalance of meal matching proportion.

[0110] like and , then the factors leading to meal matching are single meal matching and unbalanced meal matching proportion.

[0111] When the meal matching factor item is imbalanced meal matching frequency, each imbalanced nutrient element and the adjustment type of each imbalanced nutrient element are confirmed, and the adjustment type is one of increasing or decreasing.

[0112] Furthermore, the confirming of each unbalanced nutrient element and the adjustment type of each unbalanced nutrient element includes: if the index value of a deviation index item in the re-physical examination report is greater than the upper limit value of the reference index value interval corresponding to the deviation index item, the deviation index item is recorded as a verified excess item.

[0113] If the indicator value of a deviation indicator item in the re-physical examination report is less than the lower limit of the reference indicator value interval corresponding to the deviation indicator item, the deviation indicator item shall be recorded as a verification deficiency item.

[0114] The required elements corresponding to each verified excess item and each verified deficiency item are regarded as each unbalanced nutrient element.

[0115] The adjustment type of the unbalanced nutrient element corresponding to the verified excess item is recorded as a decrease, and the adjustment type of the unbalanced nutrient element corresponding to the verified deficiency item is recorded as an increase, thereby obtaining the adjustment type of each unbalanced nutrient element.

[0116] According to the adjustment type of each unbalanced nutrient element, the imbalance degree of each unbalanced nutrient element is counted, and matched and compared with the imbalance degree corresponding to each adjusted meal frequency, to obtain the matched adjusted meal frequency of each unbalanced nutrient element, and then the adjustment type of each unbalanced nutrient element and the matched adjusted meal frequency are used as adjustment information.

[0117] It should be added that the specific statistical process of calculating the imbalance degree of each imbalanced nutrient element is: when the adjustment type of an imbalanced nutrient element is increased, the index value of the verified excess item of the imbalanced nutrient element is recorded as , and record the upper limit of the reference index value interval corresponding to the verified exceeded item as , calculate the imbalance degree of the imbalanced nutrient element , .

[0118] When the adjustment type of an unbalanced nutrient element is reduction, the index value of the verified deficiency item of the unbalanced nutrient element is recorded as , and record the lower limit of the reference index value interval corresponding to the verification deficiency item as , calculate the imbalance degree of the imbalanced nutrient element , , and then calculate the imbalance degree of each imbalanced nutrient element.

[0119] When the meal matching factor item is single meal matching, the meal matching items in the current period are extracted from the meal matching information list, and the meal matching items with the same name are recorded as the same type of meal matching items. The number of current meal matching types is counted, and the total number of meal matching types is extracted from the meal matching information list.

[0120] Compare the current number of meal types with the total number of meal types, and record the ratio as the current meal type richness.

[0121] The current meal variety richness is subtracted from the set reference meal variety richness, and the absolute value of the difference is used as the compensatory meal variety richness. The compensatory meal variety richness and the total number of meal types are multiplied to obtain the number of supplementary meal types, and the number of supplementary meal types is then used as nutritional meal adjustment information.

[0122] The database is used to store reference index values ​​and reference index value intervals corresponding to each index item for each gender, and to store nutritional elements associated with and supplemented for each index item.

[0123] The student meal planning feedback module is used to feed back the student nutrition meal planning adjustment information to the nutrition meal planning platform, thereby generating a nutrition meal planning table for the next cycle.

[0124] The embodiment of the present invention realizes the re-verification of the nutritional meal of each student by conducting regular physical examinations on students and making corresponding adjustments based on the physical examination results, thereby ensuring the timeliness of the adjustment of the nutritional meal, helping to provide students with personalized nutritional meal plans to meet the specific health needs of students, and at the same time making timely adjustments to the unbalanced intake of nutrients, thereby better promoting the all-round development and healthy growth of students.

[0125] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A student nutrition meal management system based on big data analysis, characterized by: The system includes: The student list generation module is used to extract the physical examination reports of each student and conduct nutritional needs analysis. It also extracts the name, gender and allergy elements of each student and generates a list of each student's information based on the nutritional needs analysis results. A meal list generation module is used to extract the names of each initially set meal item in the current meal cycle, each component nutrient element and the set ratio of each component nutrient element, and generate a meal information list; The nutrition meal design module is used to compare the student information list with the meal information list, and design the nutrition meal for each student according to the comparison result to obtain the appropriate nutrition meal plan for each student; The health monitoring and analysis module is used to set the monitoring period to conduct a re-examination of each student, and analyze the health improvement conformity of each student based on the re-examination report; The nutrition meal adjustment module is used to adjust the student nutrition meal when the health improvement consistency is less than 0, and obtain the student nutrition meal adjustment information; A database for storing reference index values ​​and reference index value intervals for each index item for each gender, and storing nutritional elements associated with and supplemented for each index item; The student meal distribution feedback module is used to feed back the student nutrition meal distribution adjustment information to the nutrition meal distribution platform, thereby generating a nutrition meal distribution plan for the next cycle; The analysis of each student's health improvement compliance includes: From the current physical examination report of each student and the physical examination report of the re-examination, the index value of each student corresponding to each unbiased index item is extracted and recorded as and , For the student number, , is the number of the unbiased indicator item, ; Calculate the unbiased index of each student , , To set the reference The difference in the index values ​​of the unbiased index items, represents a natural constant, Indicates the floor symbol, is the number of unbiased indicator items; The corresponding index values ​​of each deviation index item are extracted from the physical examination report of the re-examination, recorded as the verification index value of each deviation index item, and then the deviation index improvement index of each student is calculated. ; According to the index value of each index item, the health index is obtained through the health index statistical model, and then the current health index of each student and the health index of each student's re-examination are obtained, which are recorded as and ; Calculate the health improvement index of each student , ; Calculate the health improvement compliance of each student , , , , , , and They are the set reference non-biased index match index, reference deviation index improvement index, reference health improvement index, the weight of the non-biased index match index, the weight of the deviation index improvement index and the weight of the health improvement index. , ; The adjustment of student nutrition meals includes: According to the unbiased index of each student and each student's deviation index improvement index , confirming meal matching factor items, wherein the meal matching factor items are one or more of single meal matching and imbalanced meal matching frequency; When the meal matching factor item is imbalanced meal matching frequency, confirming each imbalanced nutrient element and the adjustment type of each imbalanced nutrient element, wherein the adjustment type is one of an increase and a decrease; According to the adjustment type of each unbalanced nutrient element, the imbalance degree of each unbalanced nutrient element is counted, and matched and compared with the imbalance degree corresponding to each adjusted meal frequency, to obtain the matched adjusted meal frequency of each unbalanced nutrient element, and then the adjustment type of each unbalanced nutrient element and the matched adjusted meal frequency are used as adjustment information; When the meal matching factor item is single meal matching, the meal matching items in the current period are extracted from the meal matching information list, and the meal matching items with the same name are recorded as the same type of meal matching items, the number of current meal matching types is counted, and the total number of meal matching types is extracted from the meal matching information list; Compare the current number of meal types with the total number of meal types, and record the ratio as the current meal variety richness. Based on this, confirm the number of supplementary meal types and use it as nutritional meal adjustment information.

2. According to the student nutrition meal management system based on big data analysis according to claim 1, it is characterized by: The nutritional needs analysis includes: Extract the index value of each index item from the physical examination report of each student, and extract the reference index value interval of each index item corresponding to the gender of each student from the database; Compare the index value of each student's corresponding index item with its reference index value interval. If the index value of a student's corresponding index item is not within its reference index value interval, then the index item is used as a deviation index item, so as to screen out the deviation index items corresponding to each student; The nutritional elements associated with and supplemented by each deviation indicator item are extracted from the database as each requirement element, and each requirement element is used as a nutritional requirement analysis result.

3. According to claim 2, a student nutrition meal management system based on big data analysis is characterized in that: The nutritional meal design for each student includes: A1. Count the deviation degree of each student corresponding to each deviation index item as the demand degree of each student corresponding to each demand element, and match and compare them with the demand degree interval corresponding to each suitable meal frequency, and use the matched suitable meal frequency as the reference meal frequency; A2. If the number of allergic elements of a student is not 0, the student is recorded as an allergic student, and the target meal information list of the allergic student is confirmed; A3. If the number of allergic elements of a student is 0, the meal information list is used as the target meal information list of the student, and the number of associated meal items and the total number of meal items corresponding to each demand element of the student are extracted from it, and the ratio of the two is used as the actual meal frequency of each demand element of the student, so as to obtain the actual meal frequency of each student corresponding to each demand element; A4. According to the statistical method of the actual meal distribution frequency of each student corresponding to each demand element, the adjusted meal distribution frequency of each student corresponding to each demand element is statistically calculated in the same way; A5. Difference the adjusted meal frequency of each student corresponding to each demand element and the reference meal frequency. If the difference is within the set meal frequency difference range of the demand element, the adjusted meal frequency of each student corresponding to each demand element will be used as the target meal frequency. Otherwise, the reference meal frequency will be used as the target meal frequency of each student corresponding to each demand element, and appropriate nutrition meal plans for each student will be generated accordingly.

4. According to claim 3, a student nutrition meal management system based on big data analysis is characterized in that: The target meal information list for students with confirmed allergies includes: Eliminate the associated meals for allergic students corresponding to each allergic element from the meal information list, and count the number of eliminated meals as the number of meals to be supplemented, recorded as ; Extracting a meal information database from the nutritional meal platform, and screening out meal products that do not contain allergic elements in their nutritional elements from the meal information database, and recording them as supplementary meals; According to the set ratio of each nutritional element of each supplementary meal, analyze the recommended index of each supplementary meal, and sort the supplementary meals from large to small according to the recommended index. The supplementary meals in the positions are used as target supplementary meals, and then a meal information list is constructed based on the target supplementary meals and the meals that are not eliminated, and the list is used as the target meal information list for students with allergies.

5. The student nutrition meal management system based on big data analysis according to claim 4 is characterized by: The analysis of the recommended index of each supplementary meal includes: The nutrient element with the largest set ratio of nutrient elements is used as the main nutrient element of the supplementary meal; The main nutritional elements of each supplementary meal are matched and compared with each required element, and the weight of each supplementary meal is set, which is recorded as , To add the meal number, ; Match the nutritional elements of each supplementary meal with the required elements, and count the number of matching required elements of each supplementary meal, recorded as , and record the number of nutrient elements in each supplementary meal as ; Calculate the recommended index of each supplementary meal , , The ratio of the number of demand elements to set the reference.

6. The student nutrition meal management system based on big data analysis according to claim 1 is characterized by: The statistical deviation indicator improvement index of each student includes: The verification index value of each deviation index item of each student is matched and compared with the reference index value interval of each deviation index item. If the verification index value of a deviation index item of a student is within the reference index value interval of the deviation index item, the deviation index item of the student is recorded as an improved index item, and the number of improved index items of each student is counted and recorded as , and the number of deviation indicators for each student is recorded as ; Calculate the deviation index improvement index of each student , , The ratio of the number of improved indicator items used to set the reference.

7. The student nutrition meal management system based on big data analysis according to claim 1 is characterized by: The items for confirming the meal matching factors include: like and , then the food matching factor is single food matching; like and , then the meal matching factor is the imbalance of meal matching proportion; like and , then the factors leading to meal matching are single meal matching and unbalanced meal matching proportion.

8. The student nutrition meal management system based on big data analysis according to claim 1 is characterized by: The determining of each unbalanced nutrient element and the adjustment type of each unbalanced nutrient element includes: If the index value of a deviation index item in the re-examination report is greater than the upper limit of the reference index value interval corresponding to the deviation index item, the deviation index item shall be recorded as a verification excess item; If the index value of a deviation index item in the re-examination report is less than the lower limit of the reference index value interval corresponding to the deviation index item, the deviation index item shall be recorded as a verification deficiency item; The required elements corresponding to each verified excess item and each verified deficiency item are taken as each unbalanced nutrient element; The adjustment type of the unbalanced nutrient element corresponding to the verified excess item is recorded as a decrease, and the adjustment type of the unbalanced nutrient element corresponding to the verified deficiency item is recorded as an increase, thereby obtaining the adjustment type of each unbalanced nutrient element.

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