CN114638524A - Intelligent endowment integrated service center information statistical method - Google Patents
Intelligent endowment integrated service center information statistical method Download PDFInfo
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- 238000007619 statistical method Methods 0.000 title claims abstract description 9
- 238000000034 method Methods 0.000 claims description 17
- 230000036541 health Effects 0.000 claims description 16
- 230000036449 good health Effects 0.000 claims description 12
- 235000005911 diet Nutrition 0.000 claims description 10
- 230000037213 diet Effects 0.000 claims description 9
- 235000004280 healthy diet Nutrition 0.000 claims description 7
- 238000013480 data collection Methods 0.000 claims description 2
- 230000008859 change Effects 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 3
- 230000002354 daily effect Effects 0.000 description 3
- 230000003203 everyday effect Effects 0.000 description 3
- 230000001965 increasing effect Effects 0.000 description 3
- 201000010099 disease Diseases 0.000 description 2
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Abstract
The invention belongs to the technical field of endowment information statistics, and particularly relates to an information statistical method for a smart endowment integrated service center, which comprises a database and a client, wherein the information statistical method for the smart endowment integrated service center comprises the following steps that firstly, the client collects personal information and life data of the old, and transmits the collected data to the database through a network; and secondly, classifying the data uploaded by the client according to the client by the database, analyzing the data uploaded by the client by the database, and searching the identity information and the living information of the old people from the personal information.
Description
Technical Field
The invention relates to the technical field of endowment information statistics, in particular to an intelligent endowment integrated service center information statistics method.
Background
With the increasing aging of the population, the number of people needing to be aged is increasing. In order to conveniently manage and look after the aged population, people combine information management with the endowment service, namely the intelligent endowment comprehensive service. The intelligent endowment integrated service is characterized in that a network platform is used as a carrier to provide informatization endowment service for users. The intelligent endowment integrated service can provide powerful business guidance and management means for the endowment service, and can comprehensively improve the endowment service level.
Wisdom endowment integrated service need conclude the arrangement to data, current wisdom endowment integrated service only carries out classification management to data, the user of service also can only inquire old man's personal information and daily habit record when inquiring data, and along with old crowd's increase, the data of record also can increase gradually in the system, when managing it, then need the data in the system more directly perceived, and traditional wisdom endowment integrated service is comparatively rough to the statistics of data, be difficult to the change of quick accurate understanding data.
Disclosure of Invention
The invention aims to provide an information statistical method for an intelligent endowment integrated service center, so as to solve the problem that the traditional intelligent endowment integrated service provided in the background technology lacks contrast in data statistics.
In order to achieve the purpose, the invention provides the following technical scheme: the intelligent endowment integrated service center information statistical method comprises a database and a client, and comprises the following steps:
step one, a client acquires personal information and life data of the old and transmits the acquired data to a database through a network;
classifying data uploaded by the client according to the client by the database, analyzing the data uploaded by the client by the database, searching identity information and residence information of the old from personal information, and searching health condition, motion condition and diet condition of the old from life data;
step three, statistical modeling;
a. performing regional division according to the living information of the old people, and performing age bracket division according to the identity information of the old people;
b. counting the old people of different age groups in the same area, and arranging the occupation ratios of the old people of different age groups in the same area;
c. the method comprises the following steps of counting the health conditions of the old people, counting the proportion of the old people with good health conditions in different age groups, counting the proportion of the old people with good health conditions in the same age group, and counting the proportion of the old people with good health conditions in different areas;
d. the exercise condition of the old people is counted, the exercise amount ratios of the old people of different ages are counted, the exercise amount ratio of the old people with good health condition is counted, and the exercise amount ratio of the old people in different areas is counted;
step four: and after the data in the client is imported into the database, updating the model data in the statistical modeling.
Preferably, the client in the first step includes automatic collection and manual input when collecting personal information and life data of the elderly.
Preferably, when the client collects data, the client counts the data collection time and summarizes the time law.
Preferably, the data in the database includes private data and public data, and the client can view the public data in the database and the private data uploaded by the client.
Preferably, the exercise status in the second step includes an amount of exercise and an exercise path, and an average value of the amounts of exercise of all the elderly is counted and compared with the amount of exercise of the elderly on the same day.
Preferably, the data generated by the motion path of the same client is compared, the data which repeatedly appears in the data is eliminated, and then the data is stored.
Preferably, the database is provided with a healthy diet model, the diet status of the elderly is compared with the healthy diet model, and when a difference exists, difference data is selected.
Compared with the prior art, the invention has the beneficial effects that:
the invention classifies the personal information and the life data acquired by the client, and then performs classified statistics on the data, including duty statistics of the old, classified statistics of health conditions and classified statistics of motion conditions.
Drawings
FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Example (b):
referring to fig. 1, the present invention provides a technical solution: the intelligent endowment integrated service center information statistical method comprises a database and a client, and comprises the following steps:
firstly, a client is manufactured into software and installed on personal equipment of an old man, then personal information and life data of the old man are collected by the client, the method for collecting the data comprises automatic collection and manual input, the automatic collection refers to the data automatically collected by the client, mainly the movement condition data of the old man, the data are manually input, the client is firstly bound with the identity information of the old man, then a living address is input, meanwhile, the health condition and the diet condition are periodically input every day, and the collected data are transmitted to a database through a network;
classifying data uploaded by the client according to the client by a database, analyzing the data uploaded by the client by the database, searching the identity information and the living information of the old people from personal information, wherein the identity information can be bound with the client, the living information represents the living area of the old people, the old people can be changed at the client when the living area is changed, and the health condition, the motion condition and the diet condition of the old people are searched from life data, wherein the health condition comprises whether the old people are healthy or not, and the disease type of the old people is ill, the motion condition comprises the amount of motion and a motion path, the amount of motion is based on the number of motion steps of one day, the motion path represents the daily activity range of the old people, and the diet condition represents the daily food type of the old people;
thirdly, carrying out statistical modeling, constructing a sector graph and a line graph, and visually knowing data through the sector graph and data change through the line graph;
a. the method comprises the following steps of performing regional division according to living information of the old people, knowing the number of the old people in different regions through the regional division, performing age classification according to identity information of the old people, taking five years as a grade, generally taking 60 years and over as the old people, performing the classification according to the ages of 60-65, 65-70, 70-75 and the like during the classification, and visually observing the proportions of the old people in different age groups through the classification;
b. counting the old people of different age groups in the same area, and arranging the occupation ratios of the old people of different age groups in the same area, so that the occupation ratios of the old people of different age groups in different areas can be visually known;
c. the method comprises the steps of counting the health condition of the old people, counting the proportion of the old people with good health conditions in different age groups, comparing the number of sick people of the old people with the number of healthy people, knowing the disease rate of the old people, counting the proportion of the old people with good health conditions in the same age group, comparing the proportions, checking age groups in which the old people are easy to get ill, timely regulating and controlling medical resources when the number of the age groups in a certain area is too large, counting the proportion of the old people with good health conditions in different areas, and indicating that the environment or diet in the area has problems when the number of the sick old people in the same area is increased, so that the old people can be conveniently investigated;
d. the method mainly comprises the steps of counting the exercise condition of the old people, wherein the exercise condition mainly refers to the amount of exercise, counting the exercise amount ratios of the old people of different age groups, checking the age groups of the old people who like exercise, counting the exercise amount ratios of the old people with good health conditions, knowing the relationship between exercise and health, recommending comparison data to a client, enhancing the physical health condition of the old people by improving the exercise amount of the old people, counting the exercise amount ratios of the old people in different areas, determining the area of the old people who like exercise according to the ratios, and establishing an activity center of the old people in the area;
step four: after data in the client side is imported into the database, model data in statistical modeling are updated, real-time data can be known through timely updating, then the line graph is driven to generate data change through the updated data, so that the change of the data can be visually known, and a method provided for intelligent endowment can be known through the data change, and whether the method is useful or not.
The method comprises the steps of taking the collected exercise condition as a research variable, taking the collected health condition as an analysis variable, carrying out regression analysis on the analysis variable according to the research variable, fitting data points by using a curve/line through a calculation method and theory of a dependency relationship, and constructing a statistical regression model by using the curve/line to minimize the distance difference between the curve or line and the data points, wherein the statistical regression model calculates the probability of the research variable causing the analysis variable by using logistic regression, and the probability of health in the exercise state is expressed by (f) (X)/1-P and f (X) by using the data generated by the health condition as an observed value Y, the data generated by the exercise condition as a dependent variable X and the occupation ratio of the old people in the health state in each age as a probability P.
Meanwhile, decision data of managers are collected, a relation formula and a model among decision variables are established by a natural scientific method and a mathematical tool to reflect the essence of a decision problem, the complex decision problem is simplified, and a decision model is constructed by operation decision data.
The average value of the exercise amount of all the old people is counted, the average value is compared with the exercise amount of the old people on the same day, the comparison result is sent to the old people, and the old people can conveniently know whether the exercise is lack.
When the client side collects data, the time for collecting the data is counted, the time law is summarized, the health condition and the diet condition of the old people need to be input every day, the time for inputting every day of the old people is recorded, and when the old people do not normally input, the old people can be informed of the area where the old people are located in time, so that accidents of the old people are avoided.
The data in the database comprises private data and public data, the private data refers to data uploaded by a client, the public data refers to a model after statistical modeling, the model comprises a line graph and a sector graph, the client can check the public data in the database and the private data uploaded by the client, when the old people check the public data, the data of the area where the old people are located and the surrounding area are preferentially recommended, through checking, the old people can conveniently know the surrounding conditions, the old people check the private data, and the old people can also know the near conditions of the old people.
The data generated by the motion path of the same client is compared, the data which repeatedly appear in the data are eliminated, the data are stored, the motion path of the old people is reserved, the places where the old people go can be searched through path inquiry when the old people are missing, the data which repeatedly appear in the data are eliminated, the storage of the data can be reduced, when the stored data are excessive, the client can be informed to reserve the data, and then the database deletes redundant data.
Be provided with healthy diet model in the database, compare old man's dietary situation and healthy diet model, when the old man carries out food and intakes, also need to guarantee nutrition, compare through food and healthy diet model with the old man intake, when the food that the old man intakes lacks necessary nutrition, can recommend food to make things convenient for the old man to select suitable food, and then take into necessary nutrient substance.
While there have been shown and described the fundamental principles and essential features of the invention and advantages thereof, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof; the present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein, and any reference signs in the claims are not intended to be construed as limiting the claim concerned.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. The intelligent endowment comprehensive service center information statistical method comprises a database and a client, and is characterized in that: the intelligent endowment integrated service center information statistical method comprises the following steps:
the method comprises the following steps that firstly, a client collects personal information and life data of the old and transmits the collected data to a database through a network;
classifying data uploaded by the client according to the client by the database, analyzing the data uploaded by the client by the database, searching identity information and residence information of the old from personal information, and searching health condition, motion condition and diet condition of the old from life data;
step three, statistical modeling;
a. performing regional division according to the living information of the old people, and performing age bracket division according to the identity information of the old people;
b. counting the old people of different age groups in the same region, and arranging the occupation ratios of the old people of different age groups in the same region;
c. the method comprises the following steps of counting the health conditions of the old people, counting the proportion of the old people with good health conditions in different age groups, counting the proportion of the old people with good health conditions in the same age group, and counting the proportion of the old people with good health conditions in different areas;
d. the exercise condition of the old people is counted, the exercise amount ratios of the old people of different ages are counted, the exercise amount ratio of the old people with good health condition is counted, and the exercise amount ratio of the old people in different areas is counted;
step four: and after the data in the client is imported into the database, updating the model data in the statistical modeling.
2. The information statistics method of the intelligent endowment integrated service center as claimed in claim 1, wherein: and in the first step, the client collects the personal information and the life data of the old people, and the automatic collection and the manual input are included.
3. The information statistics method of the intelligent endowment integrated service center as claimed in claim 1, wherein: and when the client side collects data, counting the data collection time, and summarizing the time law.
4. The information statistics method of the intelligent endowment integrated service center as claimed in claim 1, wherein: the data in the database comprises private data and public data, and the client can check the public data in the database and the private data uploaded by the client.
5. The information statistics method of the intelligent endowment integrated service center as claimed in claim 1, wherein: and the motion state in the second step comprises the motion amount and the motion path, the average value of the motion amounts of all the old people is counted, and the average value is compared with the current day of motion amount of the old people.
6. The information statistics method of the intelligent endowment integrated service center as claimed in claim 5, wherein: and comparing the data generated by the motion path of the same client, removing the data which repeatedly appears in the data, and then storing the data.
7. The intelligent integrated service center for endowment as claimed in claim 1, wherein: the database is provided with a healthy diet model, the diet condition of the old is compared with the healthy diet model, and when a difference exists, difference data is selected.
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Application publication date: 20220617 |