CN111341410A - Health management method and device, computer equipment and computer-readable storage medium - Google Patents
Health management method and device, computer equipment and computer-readable storage medium Download PDFInfo
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Abstract
The application relates to a health management method, a health management device, a computer device and a computer readable storage medium, wherein the method comprises the following steps: acquiring body information and meal data of enterprise employees through an intelligent restaurant system; acquiring the movement data and the sleep data of the enterprise staff by using an intelligent monitoring system; calculating the body information, the diet data, the motion data and the sleep data through a data monitoring platform, and determining the body health condition of the enterprise staff; and establishing a dietary scheme and a movement scheme aiming at the enterprise staff according to the physical health condition through the data monitoring platform. The scheme provided by the application can effectively and efficiently manage the health of centralized crowds similar to enterprise employees.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a health management method, apparatus, computer device, and computer-readable storage medium.
Background
With the improvement of living standard, more and more people keep the health management of the body through scientific means. At present, the health management is mainly aimed at special people, such as pregnant women, old people and children. For concentrated population such as enterprise employees and college students, the traditional health management scheme aiming at special population cannot effectively manage the health of the concentrated population.
Disclosure of Invention
In view of the above, there is a need to provide a health management method, apparatus, computer device and computer readable storage medium for solving the problem that the traditional solution cannot efficiently manage the health of concentrated people.
A health management method, comprising:
acquiring body information and meal data of enterprise employees through an intelligent restaurant system;
acquiring the movement data and the sleep data of the enterprise staff by using an intelligent monitoring system;
calculating the body information, the diet data, the motion data and the sleep data through a data monitoring platform, and determining the body health condition of the enterprise staff;
and establishing a dietary scheme and a movement scheme aiming at the enterprise staff according to the physical health condition through the data monitoring platform.
In one embodiment, the method further comprises:
obtaining ordering data of the enterprise staff through an intelligent restaurant system;
selecting a corresponding health meal from a menu according to the meal ordering data and the physical information;
and sending the health meal to a meal ordering terminal corresponding to the enterprise staff.
In one embodiment, the obtaining meal data of the enterprise employee comprises:
recording actual ordering data of the enterprise employees;
when the staff of the enterprise finishes eating, recording the weight of the rest meal;
and calculating the diet data of the current enterprise employee according to the actual meal ordering data and the residual meal weight.
In one embodiment, the recording actual ordering data of the enterprise employee includes:
acquiring a meal photo and a corresponding meal weight;
performing identification analysis on the diet photos to obtain corresponding diet information;
and recording the meal information and the meal weight as actual meal ordering data corresponding to the enterprise staff.
In one embodiment, the method further comprises:
acquiring fundus pictures of the enterprise staff by using an intelligent monitoring system;
identifying and analyzing the fundus picture by a fundus identification technology to obtain the blood sugar value of the enterprise employee;
obtaining the historical blood glucose values of the enterprise employees;
determining a blood glucose change value of the enterprise employee according to the blood glucose value and the historical blood glucose value;
and when the blood sugar change value is larger than a blood sugar change threshold value, carrying out abnormal prompt and generating a corresponding blood sugar intervention scheme.
A health management system, the health management system comprising:
the intelligent restaurant system is used for acquiring body information and meal data of enterprise employees;
the intelligent monitoring system is used for acquiring the movement data and the sleep data of the enterprise staff;
the data monitoring platform is used for calculating the body information, the meal data, the movement data and the sleep data through the data monitoring platform to determine the body health condition of the enterprise staff; establishing a dietary plan and an exercise plan for the employee of the enterprise based on the physical health condition.
In one embodiment, the intelligent restaurant system is further configured to:
obtaining ordering data of the enterprise staff;
selecting a corresponding health meal from a menu according to the meal ordering data and the physical information;
and sending the health meal to a meal ordering terminal corresponding to the enterprise staff.
In one embodiment, the intelligent restaurant system is further configured to:
recording actual ordering data of the enterprise employees;
when the staff of the enterprise finishes eating, recording the weight of the rest meal;
and calculating the diet data of the current enterprise employee according to the actual meal ordering data and the residual meal weight.
In one embodiment, the intelligent restaurant system is further configured to:
acquiring a meal photo and a corresponding meal weight;
performing identification analysis on the diet photos to obtain corresponding diet information;
and recording the meal information and the meal weight as actual meal ordering data corresponding to the enterprise staff.
In one embodiment, the intelligent monitoring system is further configured to:
acquiring fundus pictures of the enterprise staff;
identifying and analyzing the fundus picture by a fundus identification technology to obtain the blood sugar value of the enterprise employee;
obtaining the historical blood glucose values of the enterprise employees; determining a blood glucose change value of the enterprise employee according to the blood glucose value and the historical blood glucose value;
and when the blood sugar change value is larger than a blood sugar change threshold value, carrying out abnormal prompt and generating a corresponding blood sugar intervention scheme.
A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of any of the methods described above.
A computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of any of the methods described above.
According to the health management method, the health management device, the computer equipment and the computer readable storage medium, the body information and the meal data of the enterprise staff are obtained through the intelligent restaurant system; acquiring movement data and sleep data of enterprise employees by using an intelligent monitoring system; calculating body information, diet data, motion data and sleep data through a data monitoring platform, and determining the body health condition of the enterprise staff; through the data monitoring platform, a diet scheme and a motion scheme aiming at the enterprise staff are established according to the physical health condition, so that the health of centralized crowds similar to the enterprise staff can be effectively and efficiently managed.
Drawings
FIG. 1 is a diagram of an application environment of a health management method in one embodiment;
FIG. 2 is a flow diagram illustrating a method for health management in one embodiment;
FIG. 3 is a schematic flow chart diagram illustrating the step of recommending a healthy meal in one embodiment;
FIG. 4 is a flow diagram illustrating a method for health management in one embodiment;
FIG. 5 is a block diagram of the architecture of the health management system in one embodiment;
FIG. 6 is a block diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
FIG. 1 is a diagram of an application environment of a health management method in one embodiment. Referring to fig. 1, the health management method is applied to a health management system. The health management system comprises a first terminal 110, a second terminal 120, a third terminal 130 and a server 140, wherein the first terminal 110, the second terminal 120, the third terminal 130 and the server 140 are connected through a network, an intelligent restaurant system runs on the first terminal 110, an intelligent monitoring system runs on the second terminal 120, and a data monitoring platform runs on the third terminal 130. The health management method comprises the steps of acquiring body information and meal data of enterprise employees through an intelligent restaurant system; acquiring movement data and sleep data of enterprise employees by using an intelligent monitoring system; determining the body health condition of the enterprise employee on the body information, the meal data, the movement data and the sleep data through a data monitoring platform; and establishing a diet scheme and a motion scheme for the enterprise staff according to the physical health condition through a data monitoring platform. The first terminal 110, the second terminal 120, and the third terminal 130 may specifically be mobile terminals, and the mobile terminals may specifically be at least one of a mobile phone, a tablet computer, a notebook computer, and the like. The server 140 may be implemented as a stand-alone server or a server cluster comprising a plurality of servers.
As shown in FIG. 2, in one embodiment, a health management method is provided. The embodiment is mainly illustrated by applying the method to the health management system in fig. 1. Referring to fig. 2, the health management method specifically includes the following steps:
and S202, acquiring body information and meal data of the enterprise staff through the intelligent restaurant system.
Wherein, intelligent dining room system is including intelligent access control system, AI (Artificial Intelligence) catering system and AI dining table system, and intelligent access control system mainly comprises facial recognition system and intelligent weighbridge system two parts, and facial recognition system and intelligent weighbridge system can install the entrance at the dining room to when carrying out facial discernment to the staff of the enterprise who gets into the dining room and having dinner, acquire this staff's health information.
The AI catering system mainly comprises an APP ordering module and a robot intelligent catering module. The APP ordering module is installed on the intelligent terminal on the dining table, and ordering software on the intelligent terminal on the dining table is operated to order. For example, the ordering software on the intelligent terminal can provide ordering service after acquiring the face information or personal account password of the enterprise employee. The robot catering module is used for prompting a kitchen to process according to the ordering data and reminding enterprise staff to get food in a corresponding window after the food processing is finished.
The AI dining table system mainly comprises an intelligent tableware management system and a incomplete meal detection and transmission system. The intelligent tableware management system and the incomplete meal detection and transmission system are used for acquiring the meal data of the enterprise staff. For example, when the enterprise staff eat, the intelligent tableware management system can provide tableware for the enterprise staff corresponding to the fingerprint information after acquiring the fingerprint information of the enterprise staff, automatically recover the corresponding incomplete food after the enterprise staff finish eating, and identify and detect the type and weight of the incomplete food through the incomplete food detection and transmission system, so as to acquire the actual dietary data of the enterprise staff.
The Body information may specifically be height information and weight information of the employee, or BMI (Body Mass Index) information calculated according to the height information and the weight information of the employee. The meal data can be the type and weight of the meal eaten by the staff of the enterprise, and can also be energy data calculated according to the type and weight of the meal eaten. The body quality index is an important standard which is commonly used internationally for measuring the obesity degree and the health of a human body and is mainly used for statistical analysis. The determination of the degree of obesity cannot be made using the absolute value of weight, which is naturally related to height. Therefore, BMI obtains a relatively objective parameter through two values of the weight and the height of a human body, and measures the body mass by using the range of the parameter.
In one embodiment, when the enterprise staff enters the restaurant for dining, the intelligent access control system arranged in the restaurant acquires the body information of the enterprise staff, and acquires the meal data of the staff through the artificial catering system and the AI table system in the intelligent restaurant system.
And S204, acquiring the movement data and the sleep data of the enterprise staff by using the intelligent monitoring system.
The intelligent monitoring system mainly comprises APP management software and intelligent hardware, the intelligent hardware comprises a movement and sleep quality detection terminal, and the movement and sleep quality detection terminal is matched with the APP management software to detect movement data and sleep data of enterprise employees. When the enterprise staff have meals in other places which are not provided with the intelligent restaurant system, the APP management software can also be used for recording the meal data and the blood sugar information of the enterprise staff.
In one embodiment, the intelligent monitoring system monitors the movement steps of the enterprise staff and movement data such as heart rate changes and consumed energy of the enterprise staff in the movement process through the movement and sleep quality detection terminal, monitors the sleep data of the staff at night, and sends the monitored movement data and sleep data to the data monitoring platform through APP management software running on the terminal. The sleep data may specifically include sleep duration, sleep quality, and the like of the employees, and the sleep quality may be obtained by monitoring the motion amplitude and frequency of the limbs during sleep and performing corresponding calculation, for example, monitoring the motion amplitude and frequency of the wrists to obtain the sleep quality.
And S206, calculating the body information, the diet data, the movement data and the sleep data through the data monitoring platform, and determining the body health condition of the enterprise staff.
The data monitoring platform is used for storing the collected body information, diet data and sleep data of the enterprise staff, determining a diet scheme and a motion scheme corresponding to the enterprise staff according to the body information, the diet data and the sleep data, and sending the determined diet scheme and the determined motion scheme to the intelligent monitoring system so as to provide diet guidance and motion guidance for the enterprise staff through APP management software of the intelligent monitoring system. The physical health of a business employee may be the probability that the business employee suffers from the associated disease.
In one embodiment, after acquiring the body information of the enterprise employee, the data monitoring platform determines a first probability of the enterprise employee suffering from the related disease according to the body information, then calculates a second probability of the enterprise employee suffering from the related disease according to the first probability and the diet data and the motion data of the enterprise employee, and takes the second probability as the body health condition of the enterprise employee.
And S208, establishing a dietary scheme and a motion scheme aiming at the enterprise staff according to the physical health condition through the data monitoring platform.
In one embodiment, after calculating the physical health condition of the enterprise employee, the data monitoring platform establishes a dietary plan and an exercise plan suitable for the enterprise employee according to the calculated physical health condition. For example, the data monitoring platform calculates that the enterprise employee is fatigued, the probability of the enterprise employee suffering from the related disease is greater than the disease probability threshold value, and a meal plan and an exercise plan for the enterprise employee are correspondingly established.
In one embodiment, after calculating the physical health condition of the enterprise employee, the data monitoring platform establishes a meal plan and a movement plan suitable for the enterprise employee according to the calculated physical health condition and combining the meal data and the movement data of the enterprise employee. For example, the data monitoring platform calculates that the enterprise employee is fatigued, the probability of the enterprise employee suffering from the related diseases is larger than the disease probability threshold value, the diet data and the motion data of the enterprise employee are analyzed, and if the diet of the enterprise employee is irregular and the amount of motion of the enterprise employee is too small, a diet scheme and a motion scheme for the employee are correspondingly established, such as a diet scheme with regularity and balanced nutrition and a motion scheme for performing a proper amount of aerobic motion.
In the embodiment, the body information and the meal data of the enterprise staff are obtained through the intelligent restaurant system; acquiring movement data and sleep data of enterprise employees by using an intelligent monitoring system; determining the body health condition of the enterprise employee on the body information, the meal data, the movement data and the sleep data through a data monitoring platform; through the data monitoring platform, a diet scheme and a motion scheme aiming at the enterprise staff are established according to the physical health condition, so that the health of centralized crowds similar to the enterprise staff can be effectively and efficiently managed.
In one embodiment, as shown in fig. 3, the health management method further includes the following steps:
and S302, obtaining the ordering data of the enterprise staff through the intelligent restaurant system.
The food ordering data may be food information selected by the enterprise staff when ordering food through food ordering software running on an intelligent terminal on a dining table in the intelligent dining room system, such as the type and weight of the food ordering.
In one embodiment, the ordering software runs on an intelligent terminal on a dining table, the ordering software provides ordering service after acquiring the face information or the personal account password of the enterprise employee, and the intelligent dining room system acquires ordering data of the enterprise employee in real time through the ordering software in the ordering process of the enterprise employee.
And S304, selecting the corresponding health meal from the menu according to the meal ordering data and the physical information.
And S306, sending the healthy meal to a meal ordering terminal corresponding to the enterprise staff.
Wherein the healthy meal is a healthy dish suitable for enterprise staff.
In one embodiment, after obtaining the body information and the ordering data of the enterprise staff, the intelligent restaurant system analyzes the ordering data of the staff, judges whether a product ordered by the staff is matched with the body information of the enterprise staff, selects a healthy dish matched with the body information of the enterprise staff from a menu as a healthy meal if the product ordered by the staff is not matched with the body information of the enterprise staff, and sends the selected healthy meal to an ordering terminal corresponding to the enterprise staff.
In the above embodiment, the ordering data of the enterprise staff is acquired through the intelligent restaurant system, the corresponding healthy meal is selected from the menu according to the ordering data and the body information, and the healthy meal is sent to the ordering terminal corresponding to the enterprise staff, so that the enterprise staff can select the healthy meal recommended by the intelligent restaurant system to eat, and the health of concentrated crowds similar to the enterprise staff can be effectively managed efficiently.
In one embodiment, after sending the selected healthy meal to the ordering terminal corresponding to the enterprise employee, if the fact that the healthy meal is selected is detected, the intelligent restaurant system records the information of the healthy meal as actual ordering data of the enterprise employee.
In one embodiment, the acquiring of the meal data of the enterprise employee through the intelligent restaurant system specifically includes: recording actual ordering data of enterprise employees, and recording the weight of the incomplete meal after the enterprise employees finish the meal; and calculating the diet data of the current enterprise employee according to the actual meal ordering data and the residual meal weight. For example, the actual ordering data of the enterprise staff is recorded through an AI catering system in the intelligent restaurant system, tableware is provided for the enterprise staff through an AI table management system, after the meal of the enterprise staff is finished, the incomplete meal weight of the enterprise staff is recorded through the AI table management system in the intelligent restaurant system, and then the meal data of the enterprise staff at the current time is calculated according to the actual ordering data and the incomplete meal weight.
In one embodiment, obtaining actual ordering data for the employee of the enterprise through the intelligent restaurant system further comprises: the method comprises the steps of obtaining diet photos and corresponding diet weights of enterprise employees through an intelligent terminal on a dining table, then carrying out identification analysis on the obtained diet photos to obtain corresponding diet information such as food types, and recording the obtained diet information and the obtained diet weights as actual ordering data corresponding to the enterprise employees.
In one embodiment, the actual food ordering data of the enterprise staff is recorded through the intelligent restaurant system, the weight of the residual food is recorded after the enterprise staff finishes eating, and the food ordering data and the weight of the residual food are obtained accurately, so that the food data of the enterprise staff can be acquired accurately, and the health of the concentrated crowd similar to the enterprise staff can be effectively and efficiently managed.
In one embodiment, if the employee has a meal in another restaurant or home that is not configured with the intelligent restaurant system, the employee's meal data is obtained via the intelligent monitoring system. Specifically, APP management software in the intelligent monitoring system can contain a meal ordering module, wherein the meal ordering module corresponds to a portable weighing module, the portable weighing module is used for measuring meal weight, the intelligent monitoring system, the terminal operated by the APP management software shoots meals to obtain meal pictures, and after the meals are weighed by the portable weighing module to obtain meal weight, the obtained meal pictures and the obtained meal pictures are subjected to identification analysis to obtain corresponding meal information, the obtained meal information and the obtained meal weight are recorded as actual meal ordering data corresponding to the enterprise staff, after the enterprise staff finishes eating, the residual meal is weighed by the portable weighing module to obtain residual weight, and then the meal data of the enterprise staff at the current time are calculated according to the obtained actual meal ordering data and residual meal weight.
In the above embodiment, when the employees of the enterprise eat at other restaurants or homes which are not provided with the intelligent restaurant system, the intelligent monitoring system can also accurately acquire the dietary data of the employees of the enterprise, so that the health of centralized crowds similar to the employees of the enterprise can be effectively and efficiently managed.
In an embodiment, the health management method may further detect a blood glucose value of an employee of an enterprise through an intelligent monitoring system, specifically: after the enterprise staff, the terminal operated by APP management software in the intelligent monitoring system is used for photographing the eyes of the enterprise staff to obtain eye fundus pictures of the enterprise staff, then the intelligent monitoring system carries out recognition and analysis on the eye fundus pictures through an eye fundus recognition technology to obtain blood sugar values of the enterprise staff, historical blood sugar values of the enterprise staff are obtained, the blood sugar change values of the enterprise staff are determined according to the blood sugar values and the historical blood sugar values, when the blood sugar change values are larger than blood sugar change threshold values, abnormal prompt is carried out, and a corresponding blood sugar intervention scheme is generated. The frequency of detecting the blood sugar value can be set according to the disease condition of the enterprise staff, for example, blood sugar monitoring can be performed daily for enterprise staff with diabetes, and blood sugar monitoring can be performed monthly for enterprise staff without diabetes.
In the above embodiment, the intelligent monitoring system obtains the fundus picture of the enterprise employee, performs identification and analysis on the fundus picture through the fundus identification technology, obtains the blood sugar value of the enterprise employee, obtains the historical blood sugar value of the enterprise employee, determines the blood sugar variation value of the enterprise employee according to the blood sugar value and the historical blood sugar value, performs exception prompting when the blood sugar variation value is greater than the blood sugar variation threshold value, and generates the corresponding blood sugar intervention scheme, so that the health of the concentrated population of the similar enterprise employee can be effectively managed.
As shown in fig. 4, in one embodiment, a health management method is further provided, which is exemplified by applying the method to the health management system in fig. 1. Referring to fig. 4, the health management method specifically includes the following steps:
s402, acquiring physical information of the enterprise staff through the intelligent restaurant system.
S404, recording actual ordering data of the enterprise staff through the intelligent restaurant system; after the staff of the enterprise finishes dining, recording the weight of the rest meal; and calculating the diet data of the current enterprise employee according to the actual meal ordering data and the residual meal weight.
And S406, acquiring the movement data and the sleep data of the enterprise staff by using the intelligent monitoring system.
And S408, calculating body information, diet data, movement data and sleep data through the data monitoring platform, and determining the body health condition of the enterprise staff.
And S410, establishing a dietary scheme and a motion scheme for the enterprise staff according to the physical health condition through the data monitoring platform.
S412, acquiring fundus pictures of the enterprise staff by using the intelligent monitoring system; identifying and analyzing the fundus picture by a fundus identification technology to obtain the blood sugar value of the enterprise staff; acquiring historical blood sugar values of enterprise employees; determining the blood sugar change value of the enterprise employee according to the blood sugar value and the historical blood sugar value; and when the blood sugar change value is larger than the blood sugar change threshold value, carrying out abnormal prompt and generating a corresponding blood sugar intervention scheme.
Fig. 2-4 are flow diagrams of a health management method in one embodiment. It should be understood that although the various steps in the flow charts of fig. 2-4 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-4 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in FIG. 5, a health management system is provided, the system comprising: intelligent restaurant system 502, intelligent monitoring system 504, and data monitoring platform 506, wherein:
an intelligent restaurant system 502 for obtaining physical information and meal data of employees of the enterprise;
the intelligent monitoring system 504 is used for acquiring the movement data and the sleep data of the enterprise employees;
the data monitoring platform 506 is used for calculating body information, meal data, movement data and sleep data through the data monitoring platform to determine the body health condition of the enterprise staff; and establishing a diet scheme and an exercise scheme for the enterprise staff according to the physical health condition.
In the embodiment, the body information and the meal data of the enterprise staff are obtained through the intelligent restaurant system; acquiring movement data and sleep data of enterprise employees by using an intelligent monitoring system; determining the body health condition of the enterprise employee on the body information, the meal data, the movement data and the sleep data through a data monitoring platform; through the data monitoring platform, a diet scheme and a motion scheme aiming at the enterprise staff are established according to the physical health condition, so that the health of centralized crowds similar to the enterprise staff can be effectively and efficiently managed.
In one embodiment, intelligent restaurant system 502 is further configured to:
obtaining ordering data of enterprise employees;
selecting a corresponding health meal from a menu according to the meal ordering data and the body information;
and sending the healthy meal to a meal ordering terminal corresponding to the enterprise staff.
In the above embodiment, the ordering data of the enterprise staff is acquired through the intelligent restaurant system, the corresponding healthy meal is selected from the menu according to the ordering data and the body information, and the healthy meal is sent to the ordering terminal corresponding to the enterprise staff, so that the enterprise staff can select the healthy meal recommended by the intelligent restaurant system to eat, and the health of concentrated crowds similar to the enterprise staff can be effectively managed efficiently.
In one embodiment, intelligent restaurant system 502 is further configured to:
recording actual ordering data of enterprise employees;
after the staff of the enterprise finishes dining, recording the weight of the rest meal;
and calculating the diet data of the current enterprise employee according to the actual meal ordering data and the residual meal weight.
In one embodiment, intelligent restaurant system 502 is further configured to:
acquiring a meal photo and a corresponding meal weight;
performing identification analysis on the diet photos to obtain corresponding diet information;
and recording the meal information and the meal weight as actual meal ordering data corresponding to the enterprise staff.
In one embodiment, the actual food ordering data of the enterprise staff is recorded through the intelligent restaurant system, the weight of the residual food is recorded after the enterprise staff finishes eating, and the food ordering data and the weight of the residual food are obtained accurately, so that the food data of the enterprise staff can be acquired accurately, and the health of the concentrated crowd similar to the enterprise staff can be effectively and efficiently managed.
In one embodiment, intelligent monitoring system 504 is further configured to:
acquiring fundus pictures of enterprise employees;
identifying and analyzing the fundus picture by a fundus identification technology to obtain the blood sugar value of the enterprise staff;
acquiring historical blood sugar values of enterprise employees; determining the blood sugar change value of the enterprise employee according to the blood sugar value and the historical blood sugar value;
and when the blood sugar change value is larger than the blood sugar change threshold value, carrying out abnormal prompt and generating a corresponding blood sugar intervention scheme.
In the above embodiment, the intelligent monitoring system obtains the fundus picture of the enterprise employee, performs identification and analysis on the fundus picture through the fundus identification technology, obtains the blood sugar value of the enterprise employee, obtains the historical blood sugar value of the enterprise employee, determines the blood sugar variation value of the enterprise employee according to the blood sugar value and the historical blood sugar value, performs exception prompting when the blood sugar variation value is greater than the blood sugar variation threshold value, and generates the corresponding blood sugar intervention scheme, so that the health of the concentrated population of the similar enterprise employee can be effectively managed.
FIG. 6 is a diagram illustrating an internal structure of a computer device in one embodiment. The computer device may specifically be a terminal operated by any one of the health management systems in fig. 1. As shown in fig. 6, the computer apparatus includes a processor, a memory, a network interface, an input device, and a display screen connected through a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program that, when executed by the processor, causes the processor to implement the health management method. The internal memory may also have stored therein a computer program that, when executed by the processor, causes the processor to perform a health management method.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, the health management system provided herein may be implemented in the form of a computer program that is executable on a computer device such as that shown in FIG. 6. The memory of the computer device may store the various system modules that make up the health management system, such as intelligent restaurant system 502, intelligent monitoring system 504, and data monitoring platform 506 shown in FIG. 5. The computer program constituted by the respective program modules causes the processor to execute the steps in the health management method of the respective embodiments of the present application described in the present specification.
For example, the computer device shown in fig. 6 may execute S202 through the intelligent restaurant system 502 in the health management system as shown in fig. 5. The computer device may perform S204 through the smart monitoring system 504. The computer device may perform S206 and S208 via the data monitoring platform 506.
In one embodiment, there is provided a computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of: acquiring body information and meal data of enterprise employees through an intelligent restaurant system; acquiring movement data and sleep data of enterprise employees by using an intelligent monitoring system; calculating body information, diet data, motion data and sleep data through a data monitoring platform, and determining the body health condition of the enterprise staff; and establishing a diet scheme and a motion scheme for the enterprise staff according to the physical health condition through a data monitoring platform.
In one embodiment, the computer program, when executed by the processor, causes the processor to further perform the steps of: acquiring ordering data of enterprise employees through an intelligent restaurant system; selecting a corresponding health meal from a menu according to the meal ordering data and the body information; and sending the healthy meal to a meal ordering terminal corresponding to the enterprise staff.
In one embodiment, the computer program when executed by the processor for obtaining meal data for a staff member of a business causes the processor to perform in particular the steps of: recording actual ordering data of enterprise employees; after the staff of the enterprise finishes dining, recording the weight of the rest meal; and calculating the diet data of the current enterprise employee according to the actual meal ordering data and the residual meal weight.
In one embodiment, the computer program, when executed by the processor, causes the processor to perform the steps of: acquiring a meal photo and a corresponding meal weight; performing identification analysis on the diet photos to obtain corresponding diet information; and recording the meal information and the meal weight as actual meal ordering data corresponding to the enterprise staff.
In one embodiment, the computer program, when executed by the processor, causes the processor to further perform the steps of: acquiring fundus pictures of enterprise employees by using an intelligent monitoring system; identifying and analyzing the fundus picture by a fundus identification technology to obtain the blood sugar value of the enterprise staff; acquiring historical blood sugar values of enterprise employees; determining the blood sugar change value of the enterprise employee according to the blood sugar value and the historical blood sugar value; and when the blood sugar change value is larger than the blood sugar change threshold value, carrying out abnormal prompt and generating a corresponding blood sugar intervention scheme.
In one embodiment, a computer readable storage medium is provided, storing a computer program that, when executed by a processor, causes the processor to perform the steps of: acquiring body information and meal data of enterprise employees through an intelligent restaurant system; acquiring movement data and sleep data of enterprise employees by using an intelligent monitoring system; calculating body information, diet data, motion data and sleep data through a data monitoring platform, and determining the body health condition of the enterprise staff; and establishing a diet scheme and a motion scheme for the enterprise staff according to the physical health condition through a data monitoring platform.
In one embodiment, the computer program, when executed by the processor, causes the processor to further perform the steps of: acquiring ordering data of enterprise employees through an intelligent restaurant system; selecting a corresponding health meal from a menu according to the meal ordering data and the body information; and sending the healthy meal to a meal ordering terminal corresponding to the enterprise staff.
In one embodiment, the computer program when executed by the processor for obtaining meal data for a staff member of a business causes the processor to perform in particular the steps of: recording actual ordering data of enterprise employees; after the staff of the enterprise finishes dining, recording the weight of the rest meal; and calculating the diet data of the current enterprise employee according to the actual meal ordering data and the residual meal weight.
In one embodiment, the computer program, when executed by the processor, causes the processor to perform the steps of: acquiring a meal photo and a corresponding meal weight; performing identification analysis on the diet photos to obtain corresponding diet information; and recording the meal information and the meal weight as actual meal ordering data corresponding to the enterprise staff.
In one embodiment, the computer program, when executed by the processor, causes the processor to further perform the steps of: acquiring fundus pictures of enterprise employees by using an intelligent monitoring system; identifying and analyzing the fundus picture by a fundus identification technology to obtain the blood sugar value of the enterprise staff; acquiring historical blood sugar values of enterprise employees; determining the blood sugar change value of the enterprise employee according to the blood sugar value and the historical blood sugar value; and when the blood sugar change value is larger than the blood sugar change threshold value, carrying out abnormal prompt and generating a corresponding blood sugar intervention scheme.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A health management method, comprising:
acquiring body information and meal data of enterprise employees through an intelligent restaurant system;
acquiring the movement data and the sleep data of the enterprise staff by using an intelligent monitoring system;
calculating the body information, the diet data, the motion data and the sleep data through a data monitoring platform, and determining the body health condition of the enterprise staff;
and establishing a dietary scheme and a movement scheme aiming at the enterprise staff according to the physical health condition through the data monitoring platform.
2. The method of claim 1, further comprising:
obtaining ordering data of the enterprise staff through an intelligent restaurant system;
selecting a corresponding health meal from a menu according to the meal ordering data and the physical information;
and sending the health meal to a meal ordering terminal corresponding to the enterprise staff.
3. The method of claim 1, wherein obtaining the business employee's meal data comprises:
recording actual ordering data of the enterprise employees;
when the staff of the enterprise finishes eating, recording the weight of the rest meal;
and calculating the diet data of the current enterprise employee according to the actual meal ordering data and the residual meal weight.
4. The method of claim 3, wherein said recording actual meal ordering data for said business employee comprises:
acquiring a meal photo and a corresponding meal weight;
performing identification analysis on the diet photos to obtain corresponding diet information;
and recording the meal information and the meal weight as actual meal ordering data corresponding to the enterprise staff.
5. The method of claim 1, further comprising:
acquiring fundus pictures of the enterprise staff by using an intelligent monitoring system;
identifying and analyzing the fundus picture by a fundus identification technology to obtain the blood sugar value of the enterprise employee;
obtaining the historical blood glucose values of the enterprise employees;
determining a blood glucose change value of the enterprise employee according to the blood glucose value and the historical blood glucose value;
and when the blood sugar change value is larger than a blood sugar change threshold value, carrying out abnormal prompt and generating a corresponding blood sugar intervention scheme.
6. A health management system, characterized in that the health management system comprises:
the intelligent restaurant system is used for acquiring body information and meal data of enterprise employees;
the intelligent monitoring system is used for acquiring the movement data and the sleep data of the enterprise staff;
the data monitoring platform is used for calculating the body information, the meal data, the movement data and the sleep data through the data monitoring platform to determine the body health condition of the enterprise staff; establishing a dietary plan and an exercise plan for the employee of the enterprise based on the physical health condition.
7. The system of claim 6, wherein the intelligent restaurant system is further configured to:
obtaining ordering data of the enterprise staff;
selecting a corresponding health meal from a menu according to the meal ordering data and the physical information;
and sending the health meal to a meal ordering terminal corresponding to the enterprise staff.
8. The system of claim 7, wherein the intelligent restaurant system is further configured to:
recording actual ordering data of the enterprise employees;
when the staff of the enterprise finishes eating, recording the weight of the rest meal;
and calculating the diet data of the current enterprise employee according to the actual meal ordering data and the residual meal weight.
9. A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 5.
10. A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method according to any one of claims 1 to 5.
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