CN110503302A - A kind of culture endowment Evaluation On Effects The Activities method - Google Patents
A kind of culture endowment Evaluation On Effects The Activities method Download PDFInfo
- Publication number
- CN110503302A CN110503302A CN201910649712.9A CN201910649712A CN110503302A CN 110503302 A CN110503302 A CN 110503302A CN 201910649712 A CN201910649712 A CN 201910649712A CN 110503302 A CN110503302 A CN 110503302A
- Authority
- CN
- China
- Prior art keywords
- activity
- data
- endowment
- activities
- time
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Social work
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses a kind of culture endowment Evaluation On Effects The Activities methods, belong to family endowment technical field, evaluation method includes the steps that essential information maintenance, activity is prepared, activity is registered, data acquisition, data preparation, movement and animation effect model buildings, model verifying, the amendment of movement compensation index and culture endowment Evaluation On Effects The Activities after activity.Culture endowment Evaluation On Effects The Activities method of the invention, by analyzing endowment cultural activity information collection and big data, establish the service participation model based on amount of exercise, action evaluation is solved to be only capable of being evaluated from single satisfaction investigation angle, so as to improve the science of government buying service, and effectively supervision endowment services development condition, effectively guides Geriatric's life.
Description
Technical field
The invention belongs to family endowment technical field more particularly to a kind of culture endowment Evaluation On Effects The Activities methods, more
Body is one kind using amount of exercise as judgment basis, judges the evaluation method of old man's activity effect.
Background technique
Social psychologist's Maslow's theory (Abraham Maslow, 1908-1970) of famous American is in his " human motivation
Theory " in propose famous " human demand ordering theory ".Pointing out to obtain in low-level requirement can be in the case that part meets
Pursue advanced requirement.The elderly group special as one, their experience of itself and the uniqueness of experience determine them
With special spiritual demand.
From the point of view of the intension of health, spirit endowment is also particularly significant.The health that the World Health Organization defines just includes body
Health, mental health, moral health and social adaptiveness are good.It is this right as long as thinking the health of the elderly
The understanding of health is clearly unilateral.Health is elementary object, and good psychological quality, correct moral concept etc. also must
It is indispensable.For various reasons, the elderly tends to the moods such as generate loneliness, lose, to influence health.
Past talks the problem of endowment is primarily related to substance endowment aspect, the endowment of shorter mention spirit.It is generally acknowledged that old
Year people as long as have meal, there is clothing to wear, without that should feel to meet as long as ailing, the demand in terms of Geriatric is not usually people
Paid attention to.In fact, with the progress of social civilization, dull life of eating one's fill and wearing warm clothes has allowed them to be unable to satisfy, their phases
What is hoped is a kind of substantial, pleasant life in old age.Old spiritual demand mainly includes affection need and entertainment demand.Emotion
Demand is a kind of spiritual demand the strongest in the minds of the elderly.Much studies have shown that the elderly most wants to obtain from children there
Be not money but emotional affection.There is a large amount of spare time after the elderly's retirement, if they are integrally idle to feel
It must live boring, dull, or feel lonely.And culture endowment is to solve the effective means of old man's spirit aspect, current
Every research field is satisfaction investigation, number of participant etc. after activity to the evaluation with animation effect, for participant
None good evaluation method of the degree of participation of member.Therefore, it is necessary to mention from old man's needs and service effectiveness etc. to service
Relevant evaluation out.
Summary of the invention
The present invention in view of the above technical problems, provides a kind of culture endowment Evaluation On Effects The Activities method, by endowment text
Change action message acquisition and big data is analyzed, establishes the service participation model based on amount of exercise, solution activity is commented
Valence is only capable of being evaluated from single satisfaction investigation angle, and so as to improve the science of government buying service, and effectively supervision is supported
Old service development condition, effectively guides Geriatric's life.
To achieve the goals above, the invention provides the following technical scheme:
A kind of culture endowment Evaluation On Effects The Activities method provided by the invention, includes the following steps:
Step 1: essential information maintenance；
Step 2: activity is prepared；
Step 3: activity registration；
Step 4: data acquire after activity；
Step 5: data preparation；
Step 6: movement and animation effect model buildings；
Step 7: model verifying；
Step 8: movement compensation index amendment；
Step 9: culture endowment Evaluation On Effects The Activities.
A kind of culture endowment Evaluation On Effects The Activities method provided by the invention, by the model that above step is formed, co-occurrence
Field satisfaction investigation together, as culture endowment Evaluation On Effects The Activities a part, is jointly commented cultural animation effect of supporting parents
Valence.
Compared with prior art, the present invention will adequately collect old Man's Demands, capture the movement shape during senior activity
State judges that this activity to the degree of participation of old man, provides accurately satisfaction information, so as to activity by big data analysis
Organizer provides accurate good service, effectively evades the phenomenon that service is unwelcome, not by approving, realizes on-demand service, presses
The modern service theory that need to be promoted.The endowments such as old service centre and old service organization are improved for relevant government department to set
It applies, expands " culture endowment " service, the cultural life for enriching the elderly provides an effect assessment tool.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only one recorded in the present invention
A little embodiments are also possible to obtain other drawings based on these drawings for those of ordinary skill in the art.
Fig. 1 is the flow diagram of the endowment Evaluation On Effects The Activities method of culture provided by the embodiment of the present invention；
Fig. 2 is the flow diagram of step 5 data preparation provided by the embodiment of the present invention.
Specific embodiment
In order to make those skilled in the art more fully understand technical solution of the present invention, below in conjunction with embodiment to this
Invention is further detailed.
A kind of culture endowment Evaluation On Effects The Activities method provided by the invention, as shown in Figure 1, comprising the following steps:
Step 1: essential information maintenance
It needs exist for safeguarding that specifically include activity name, Activity Type, movement compensation refers to endowment various activities
Number, the consumed energy (Q of square danceDance), the consumed energy (Q of viewing film activityElectricity), affection index, activity standard attention rate
(P0), number of participant section, space for activities range, basic activity scene requirement, adaptation population, removable foundation scheme, answer quick-acting prescription
The information such as case are safeguarded.
The setting of activity limit of error value:
Qmin: kinematic error compares minimum value
Qmax: kinematic error compares maximum value
Ymin: step number error compares minimum value
Ymax: step number error compares maximum value
Lmin: heart rate error compares minimum value
Lmax: heart rate error compares maximum value
F: motion model threshold value.
Here, 5 age brackets are divided according to 60-65；65-70；70-75；75-80；5 age brackets are drawn within 80 years old or more
Point.
Movement compensation index (QIt mends): for the single movable motion compensation factor.Since various activities need amount of exercise different,
Thus need to carry out different movements motion compensation, compensated items athleticism is comparable.
Here 1 hour of 60 years old healthy women in the consumed energy (Q of viewing film activityElectricity) (unit kilocalorie) be used as base
Number, compensation index is set as 100,1 hour of 60 years old healthy women in the consumed energy (Q of square danceDance) (unit kilocalorie)
Index is set as 0, and centre is according to 100 equal part (Q of amount of exercise1), other activities are according to this compensation.
Activity standard attention rate (P0): when for activity personnel attentively with the specific movable absorbed time with activity totality
Between ratio.
Step 2: activity is prepared
Specific activity description is prepared herein for specific community.Including the following:
Step S201: community's basic condition is known the real situation
It is linked up with community workers, understands number, the age range of the daily inhabitation old man in the community, it is schooling, close
The information such as the Activities participated in over one year.
Step S202: activity matching
According to the basic condition of the community-dwelling elder, matched senior activity's project, carry out activity matching are searched.
Step S203: activity scheme planning
According to the campaign item that the specified place of community or choosing are chosen, activity scheme is planned.Activity scheme should include following
Content: establishment officer, subsidized flat, space for activities, movable particular content, standby redundancy, emergency plan, publicity programme etc..
Step S204: activity scheme is linked up
Owners' committee in same community workers, community is linked up for scheme, and Adjusted Option.
Step S205: promotional activities
According to the activity scheme determined, staff's garrison community is accredited, cell publicizes.
Step S206: activity registration
Old man's carry out activity registration in receiving 60 years old or more, and registration registration is carried out, distribute Intelligent bracelet (Huawei's intelligence hand
Ring, model B3), and to bracelet information and old man's information matches.
Step 3: activity registration
Step S301: in site of activity, the information of old man, including name, age, gender, health status are participated in registration
The information such as (good, in, poor), home address, movable hobby, cerebration demand, bracelet ID number.
Step S302: for the old man for having sent out bracelet, by interface routine, to movable exercise data acquisition early period.
Step 4: data acquire after activity
Step S401: Questionaire of Patients ' Satisfaction: after the completion of activity, giving old man's provision effect questionnaire, participates in work for individual
Dynamic satisfaction, pleasure degree are investigated, and questionnaire main body is shown in Table 1, and each activity can also be according to specific activity description, ginseng
Increase other content with the intention of unit.
1 animation effect questionnaire of table
Note: above-mentioned activity satisfaction evaluation table is only satisfaction investigation main part, can be according to the reality of site of activity
Situation is adjusted.
Step S402: exercise data acquisition during activity
By interface routine, during collection activity, the amount of exercise data of activity old man.
Step S403: motion bracelet recycling
After activity end 1-3 days, motion bracelet is recycled.
Step S404: exercise data acquisition after activity
By interface routine, the amount of exercise data of 1-3 days activity old men after collection activity.
Step 5: data preparation
Due to the possible more plays of the activity of progress, multiple places carry out simultaneously, thus need to carry out classified finishing to data
Work, every kind of activity need to arrange a data model.Here activity data is divided into 3 sections: before activity, after activity neutralization activity.
Before activity: the 1-3 days exercise datas until activity registration before collection activity, including exercise heat consumption, fortune
Dynamic step number and heart rate (pressing 1 hourly average).
In activity: acquiring the information since registration to the Intelligent bracelet during filling in Evaluation On Effects The Activities table.Including fortune
Dynamic heat consumption amount, movement step number and heart rate (pressing 1 hourly average).
After activity: collection activity fills in the exercise data that effect assessment table receives (general 1-3 days) to movable hand loopback, including
Exercise heat consumption, movement step number and heart rate (pressing 1 hourly average).
Step 6: movement and animation effect model buildings
It is closely bound up with activity description due to moving, thus need to need to train a kind of move and activity for every kind of activity
Effect model, in detail such as Fig. 2.
Step S601: Data Matching
Data by activity registration, the ID number of bracelet, before the activity for searching same old man, in activity, after activity.
Step S602: data cleansing
It is such as invalid according to whether wearing mark judge whether the data effective in data, reject the people section (before movable,
In activity, after activity) data, specific rules are as follows:
If the people does not have data during activity, if the people does not wear the watch time greater than half an hour, then it is assumed that should
People does not wear watch effectively, rejects the secondary mass activity Data Data of the people；
If the people effectively wears the watch time and is respectively less than 12 hours before activity and after activity, this time of the people is rejected
Mass activity Data Data；
If the people is unsatisfactory for formula 2 to formula 4, then rejects the activity data of the people before activity, in activity and after activity.
I.e.
In above formula:
Q is heat consumption value, and unit is preceding kilocalorie；
Y is unit time step Numerical, and unit is step number/minute；
L is heart rate, and unit is beat/min；
Wherein subscript: preceding: for data before activity；In: for data during activity；Afterwards: for data after active stage；
Step S603: data are derivative
To Q, Y, L to time first derivation, the Q of various time points is found out/、Y/、L/Value；
Continue to Q/、Y/、L/First order derivative is being asked to the time, is finding out Q//、Y//、L//Value；
Step S604: movement satisfaction matching
It extracts the satisfaction for the activity survey data for moving effective personnel and the satisfaction of factum is matched,
Form an energy consumption, step number, the time series data of heart rate；
Step S605: the concern time calculates
Every 5 minutes change rates are found out less than 5% to Y, and Y value is added up less than the time of Y value average during activity, is obtained
It must add up to pay close attention to the pass time T, unit minute；Concern rate P is calculated according to formula 5 and formula 6tEffect K is paid close attention to activity；
Concern rate Pt=TIt closes/TAlwaysFormula 5
Activity concern effect K=Pt/P0Formula 6
In formula: Pt: concern rate, no unit；
TIt closes: concern time, unit minute
TAlways: the movable overall time of this, unit minute；
P0: this activity standard attention rate
Step S606: excited times N is accumulative
The number of the average value 20% during activity greater than L is found out to L, here being set to one per minute greater than 1 minute
It is secondary；
Step S607: data time series curve matching
Using the time as x-axis, using Q, Y, L numerical value as y-axis, one group of curve is done, and identify activity time range, intermediate point is adopted
It is carried out curve fitting with least square method, activity interval, extreme point is marked out on curve；
Using the time as x-axis, with Q/、Y/、L/Numerical value is y-axis, does one group of curve, and identify activity time range, intermediate point
It is carried out curve fitting using least square method.Activity interval, extreme point are marked out on curve；
Using the time as x-axis, with Q//、Y//、L//Numerical value is y-axis, does one group of curve, and identify activity time range, intermediate
Point is carried out curve fitting using least square method.Activity interval, extreme point, 0 value point are marked out on curve；
Step S608: motion model training
The personnel of participation are carried out data classification according to service item title, gender, age, health status, and using thick
The method of rough data set classification, to before activity, in activity, after activity heat consumption value Q, unit time step Numerical Y, heart rate L,
Q/、Y/、L/、Q//、Y//、L//, activity concern effect K, excited times N, movement compensation index B data, activity survey data expire
Meaning degree and to data classifications such as the satisfactions of factum, forms Neural Network Data member, and learnt with deep neural network
Method, to above-mentioned data carry out machine learning, so as to form movement service satisfaction data relationship model.
Step 7: model verifying
Activity data is resurveyed, satisfaction is calculated using step 6 training movement service satisfaction data relationship model,
And with the satisfaction of actual activity survey data and the satisfaction of factum is compared, if accuracy rate is less than fortune
Movable model threshold value F, adjustment movement service satisfaction data relationship model parameter, until its accuracy rate is greater than motion model threshold value F.
Step 8: movement compensation index amendment
Calculate that every class is movable to consume energy per capita according to formula 6 and formula 7With compensation factor B, after calculating the parameter, more
Newly into endowment various activities table；
In formula:For per capita when consume energy, unit kilocalorie；
The unit time of the people consumes energy when Q is activity, and unit is kilocalorie/hour；
QBefore: energy is consumed for the unit time before the people's activity, unit is kilocalorie/hour；
QAfterwards: energy is consumed for the unit time after the people's activity, unit is kilocalorie/hour；
Nz: the quantity of effective personnel summarizes under this activity, unit: a；
B: for compensation factor；
QElectricity: the mean consumption watched movie.
Step 9: culture endowment Evaluation On Effects The Activities
By the model that above step is formed, together with scene satisfaction investigation, as culture endowment Evaluation On Effects The Activities
A part jointly evaluates culture endowment animation effect.
Culture endowment Evaluation On Effects The Activities method provided by the invention, will adequately collect old Man's Demands, and capture old man
Motion state during activity judges that this activity to the degree of participation of old man, is provided and is accurately satisfied with by big data analysis
Information is spent, so that event organizer provides accurate good service, effectively evades the phenomenon that service is unwelcome, not by approving,
The modern service theory realizing on-demand service, promoting on demand.
It is above that certain exemplary embodiments of the invention are only described by way of explanation, undoubtedly, for ability
The those of ordinary skill in domain without departing from the spirit and scope of the present invention can be with a variety of different modes to institute
The embodiment of description is modified.Therefore, foregoing description is regarded as illustrative in nature, and should not be construed as wanting right of the present invention
Ask the limitation of protection scope.
Claims (10)
1. a kind of culture endowment Evaluation On Effects The Activities method, which comprises the following steps:
Step 1: essential information maintenance；
Step 2: activity is prepared；
Step 3: activity registration；
Step 4: data acquire after activity；
Step 5: data preparation；
Step 6: movement and animation effect model buildings；
Step 7: model verifying；
Step 8: movement compensation index amendment；
Step 9: culture endowment Evaluation On Effects The Activities.
2. culture endowment Evaluation On Effects The Activities method according to claim 1, which is characterized in that the essential information of step 1
Including activity name, Activity Type, movement compensation index QIt mends, the consumed energy Q of square danceDance, the consumed energy of viewing film activity
Measure QElectricity, affection index, activity standard attention rate P0, it is number of participant section, space for activities range, basic activity scene requirement, suitable
Answer crowd, removable foundation scheme and emergency plan；Wherein, movement compensation index QIt mendsIt is living for the single movable motion compensation factor
Dynamic standard attention rate P0For the wholwe-hearted ratio with specific movable absorbed time and movable overall time of activity personnel, 60
1 hour of healthy women year is in the consumed energy Q of viewing film activityElectricityAs radix, compensates index and be set as 100,60
1 hour of healthy women year is in the consumed energy Q of square danceDance, index is set as 0, and centre is denoted as according to 100 equal part of amount of exercise
Q1, other activities are according to the compensation of formula 1.
3. culture endowment Evaluation On Effects The Activities method according to claim 1, which is characterized in that the activity of step 2 is prepared
Step are as follows:
Step S201: community's basic condition is known the real situation
It is linked up with community workers, understands number, the age range of the daily inhabitation old man in the community, it is schooling, 1 year nearly
Come the Activities information participated in；
Step S202: activity matching
According to the basic condition of the community-dwelling elder, matched senior activity's project, carry out activity matching are searched；
Step S203: activity scheme planning
According to the campaign item that the specified place of community or choosing are chosen, activity scheme is planned；Activity scheme includes the following contents: group
Knit personnel, subsidized flat, space for activities, movable particular content, standby redundancy, emergency plan and publicity programme；
Step S204: activity scheme is linked up
Owners' committee in same community workers, community is linked up for scheme, and Adjusted Option；
Step S205: promotional activities
According to the activity scheme determined, staff's garrison community is accredited, cell publicizes；
Step S206: activity registration
Old man's carry out activity registration in receiving 60 years old or more, and registration registration is carried out, Intelligent bracelet is distributed, and to bracelet information and always
People's information matches.
4. culture endowment Evaluation On Effects The Activities method according to claim 1, which is characterized in that activity registration in step 3
The step of are as follows:
Step S301: the information for participating in old man, including name are registered in site of activity, age, gender, health status, family live
Location, activity hobby, cerebration demand and bracelet ID number information；
Step S302: for the old man for having sent out bracelet, by interface routine, to movable exercise data acquisition early period.
5. culture endowment Evaluation On Effects The Activities method according to claim 1, which is characterized in that data after step 4 activity
The step of acquisition are as follows:
Step S401: after the completion of activity, old man's provision effect questionnaire, satisfaction, pleasure for personal activity are given
Degree is investigated；
Step S402: by interface routine, the amount of exercise data of activity old man during collection activity；
Step S403: after activity end 1-3 days, motion bracelet is recycled；
Step S404: by interface routine, the amount of exercise data of 1-3 days activity old men after collection activity.
6. culture endowment Evaluation On Effects The Activities method according to claim 1, which is characterized in that every kind of activity in step 5
A data model is arranged, activity data is divided into 3 sections: before activity, after activity neutralization activity.
7. culture endowment Evaluation On Effects The Activities method according to claim 1, which is characterized in that be directed to every kind in step 6
A kind of movement of Exercises and animation effect model, step are as follows:
Step S601: Data Matching
Data by activity registration, the ID number of bracelet, before the activity for searching same old man, in activity, after activity；
Step S602: data cleansing
According to whether wearing mark judges whether the data are effective in data, such as invalid, the rejecting movable data of this section of the people have
Body rule is as follows:
If the people does not have data during activity, if the people does not wear the watch time greater than half an hour, then it is assumed that the people does not have
There is effective wearing watch, rejects the secondary mass activity Data Data of the people；
If the people effectively wears the watch time and is respectively less than 12 hours before activity and after activity, this time for rejecting the people is whole
Activity data；
If the people is unsatisfactory for formula 2 to formula 4, then rejects the activity data of the people before activity, in activity and after activity；
I.e.
In above formula:
Q is heat consumption value, and unit is preceding kilocalorie；
Y is unit time step Numerical, and unit is step number/minute；
L is heart rate, and unit is beat/min；
Wherein subscript: preceding: for data before activity；In: for data during activity；Afterwards: for data after active stage；
Qmin: kinematic error compares minimum value；
Qmax: kinematic error compares maximum value；
Ymin: step number error compares minimum value；
Ymax: step number error compares maximum value；
Lmin: heart rate error compares minimum value；
Lmax: heart rate error compares maximum value；
Step S603: data are derivative
To Q, Y, L to time first derivation, the Q of various time points is found out/、Y/、L/Value；
Continue to Q/、Y/、L/First order derivative is being asked to the time, is finding out Q//、Y//、L//Value；
Step S604: movement satisfaction matching
It extracts the satisfaction for the activity survey data for moving effective personnel and the satisfaction of factum is matched, formed
One energy consumption, step number, the time series data of heart rate；
Step S605: the concern time calculates
Every 5 minutes change rates are found out less than 5% to Y, and Y value is added up less than the time of Y value average during activity, is tired out
Meter concern time T is closed, unit minute；Concern rate P is calculated according to formula 5 and formula 6tEffect K is paid close attention to activity；
Concern rate Pt=TIt closes/TAlwaysFormula 5
Activity concern effect K=Pt/P0Formula 6
In formula: Pt: concern rate, no unit；
TIt closes: concern time, unit minute
TAlways: the movable overall time of this, unit minute；
P0: this activity standard attention rate
Step S606: excited times N is accumulative
The number of the average value 20% during activity greater than L is found out to L, here being set to per minute once greater than 1 minute；
Step S607: data time series curve matching
Using the time as x-axis, using Q, Y, L numerical value as y-axis, one group of curve is done, and identify activity time range, intermediate point is using most
Small square law carries out curve fitting, and activity interval, extreme point are marked out on curve；
Using the time as x-axis, with Q/、Y/、L/Numerical value is y-axis, does one group of curve, and identify activity time range, and intermediate point uses
Least square method carries out curve fitting.Activity interval, extreme point are marked out on curve；
Using the time as x-axis, with Q//、Y//、L//Numerical value is y-axis, does one group of curve, and identify activity time range, and intermediate point is adopted
It is carried out curve fitting with least square method.Activity interval, extreme point, 0 value point are marked out on curve；
Step S608: motion model training
The personnel of participation are carried out data classification according to service item title, gender, age, health status, and use coarse number
According to the method for collection classification, to heat consumption value Q, the unit time step Numerical Y, heart rate L, Q before activity, in activity, after activity/、
Y/、L/、Q//、Y//、L//, activity concern effect K, excited times N, movement compensation index B data, activity survey data satisfaction
With the data classifications such as satisfaction to factum, Neural Network Data member, and the side learnt with deep neural network are formed
Method carries out machine learning to above-mentioned data, so as to form movement service satisfaction data relationship model.
8. culture endowment Evaluation On Effects The Activities method according to claim 1, which is characterized in that the model of step 7 is verified
Method are as follows: activity data is resurveyed, satisfaction is calculated using step 6 training movement service satisfaction data relationship model, and
With the satisfaction of actual activity survey data and the satisfaction of factum is compared, if accuracy rate is less than movement
Model threshold F, adjustment movement service satisfaction data relationship model parameter, until its accuracy rate is greater than motion model threshold value F.
9. culture endowment Evaluation On Effects The Activities method according to claim 1, which is characterized in that the movement compensation of step 8
Index modification method are as follows: calculate that every class is movable to consume energy per capita according to formula 6 and formula 7With compensation factor B, the ginseng is calculated
After number, update into endowment various activities table；
In formula:For per capita when consume energy, unit kilocalorie；
The unit time of the people consumes energy when Q is activity, and unit is kilocalorie/hour；
QBefore: energy is consumed for the unit time before the people's activity, unit is kilocalorie/hour；
QAfterwards: energy is consumed for the unit time after the people's activity, unit is kilocalorie/hour；
Nz: the quantity of effective personnel summarizes under this activity, unit: a；
B: for compensation factor；
QElectricity: the mean consumption watched movie.
10. -9 described in any item culture endowment Evaluation On Effects The Activities methods according to claim 1, which is characterized in that age bracket
It divides and is divided according to 60-65,65-70,70-75,75-80,80 years old or more 5 age brackets.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910649712.9A CN110503302B (en) | 2019-07-18 | 2019-07-18 | Cultural aged care activity effect evaluation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910649712.9A CN110503302B (en) | 2019-07-18 | 2019-07-18 | Cultural aged care activity effect evaluation method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110503302A true CN110503302A (en) | 2019-11-26 |
| CN110503302B CN110503302B (en) | 2023-06-06 |
Family
ID=68586001
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910649712.9A Active CN110503302B (en) | 2019-07-18 | 2019-07-18 | Cultural aged care activity effect evaluation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110503302B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050113650A1 (en) * | 2000-06-16 | 2005-05-26 | Christopher Pacione | System for monitoring and managing body weight and other physiological conditions including iterative and personalized planning, intervention and reporting capability |
| US20080004904A1 (en) * | 2006-06-30 | 2008-01-03 | Tran Bao Q | Systems and methods for providing interoperability among healthcare devices |
| US20130095459A1 (en) * | 2006-05-12 | 2013-04-18 | Bao Tran | Health monitoring system |
| CN106204396A (en) * | 2016-07-24 | 2016-12-07 | 南京瀚科瑞杰智能科技有限公司 | Distributed ecological intelligence connection endowment service system |
| CN106875629A (en) * | 2017-03-07 | 2017-06-20 | 吉林真才信息技术有限公司 | Family endowment system and its control method based on body-sensing net |
| US20170216671A1 (en) * | 2016-02-01 | 2017-08-03 | JayBird LLC | Systems, methods and devices for providing a personalized exercise program recommendation |
| CN107669248A (en) * | 2017-09-29 | 2018-02-09 | 长春市万易科技有限公司 | Old man's dynamic pulse continuous detecting system and method |
| CN107958434A (en) * | 2017-11-24 | 2018-04-24 | 泰康保险集团股份有限公司 | Intelligence nurse method, apparatus, electronic equipment and storage medium |
| CN109215791A (en) * | 2018-10-31 | 2019-01-15 | 深圳市儿童医院 | Health control method, system, equipment and storage medium based on multi information decision |
-
2019
- 2019-07-18 CN CN201910649712.9A patent/CN110503302B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050113650A1 (en) * | 2000-06-16 | 2005-05-26 | Christopher Pacione | System for monitoring and managing body weight and other physiological conditions including iterative and personalized planning, intervention and reporting capability |
| US20130095459A1 (en) * | 2006-05-12 | 2013-04-18 | Bao Tran | Health monitoring system |
| US20080004904A1 (en) * | 2006-06-30 | 2008-01-03 | Tran Bao Q | Systems and methods for providing interoperability among healthcare devices |
| US20170216671A1 (en) * | 2016-02-01 | 2017-08-03 | JayBird LLC | Systems, methods and devices for providing a personalized exercise program recommendation |
| CN106204396A (en) * | 2016-07-24 | 2016-12-07 | 南京瀚科瑞杰智能科技有限公司 | Distributed ecological intelligence connection endowment service system |
| CN106875629A (en) * | 2017-03-07 | 2017-06-20 | 吉林真才信息技术有限公司 | Family endowment system and its control method based on body-sensing net |
| CN107669248A (en) * | 2017-09-29 | 2018-02-09 | 长春市万易科技有限公司 | Old man's dynamic pulse continuous detecting system and method |
| CN107958434A (en) * | 2017-11-24 | 2018-04-24 | 泰康保险集团股份有限公司 | Intelligence nurse method, apparatus, electronic equipment and storage medium |
| CN109215791A (en) * | 2018-10-31 | 2019-01-15 | 深圳市儿童医院 | Health control method, system, equipment and storage medium based on multi information decision |
Non-Patent Citations (1)
| Title |
|---|
| 苏明亮等: "基于主动健康访问技术的医养结合智能综合服务管理平台研究", 《医疗卫生装备》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110503302B (en) | 2023-06-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Edmunds et al. | Physical activity barriers in the workplace: An exploration of factors contributing to non-participation in a UK workplace physical activity intervention | |
| Duhaime et al. | Social cohesion and living conditions in the Canadian Arctic: From theory to measurement | |
| Knoppers et al. | Gendered managerial discourses in sport organizations: Multiplicity and complexity | |
| Hovden | Discourses and strategies for the inclusion of women in sport–the case of Norway | |
| Zullo | Labor unions and charity | |
| Jones et al. | Status report on HBCU athletics: Participation, finances, and student experiences | |
| Weimar et al. | A bright spot for a small league: Social media performance in a football league without a COVID-19 lockdown | |
| Brereton et al. | Barriers to student engagement in clubs and societies: a social capital perspective | |
| Stauroswky et al. | 50 Years of Title IX: We're Not Done Yet. | |
| Halling Ullberg et al. | Workplace health promotion to facilitate physical activity among office workers in Sweden | |
| CN110503302A (en) | A kind of culture endowment Evaluation On Effects The Activities method | |
| Long | Sport's ambiguous relationship with social capital: The contribution of national governing bodies of sport 1 | |
| Richards | An examination of women in leadership positions in sport:: A case study of Australian Rules Football | |
| Williams et al. | The influence of a university’s social identity on NCAA divisional affiliation | |
| Fahlén et al. | Good sport environments: A study of collective fundamental values and their importance for activity principles in Swedish club sport | |
| Krstić et al. | The impact of complementary medicine on sustainable tourism development through event and nature-based tourism | |
| Ibrahim et al. | THE WAYS OF SPENDING LEISURE TIME BY STUDENTS OF BAMYAN UNIVERSITY | |
| Michels | Not bad for a girl: Gender bias in sports | |
| Kathini et al. | Cultural constraints of women involvement in management level of county funded grass-root community water projects in Makueni County, Kenya | |
| Clayton-Hathway | Governance and Leadership in British Horseracing: A Gender Perspective | |
| Cupido | A case-based analysis of the implementation of transformation in Western Cape rugby | |
| Joshi et al. | Do the information networks of farmers differ across gender? Evidence from the hills of Uttarakhand, India using social network analysis | |
| Ademola et al. | Social Enterprises in Nigeria: The Prerequisite and Motivating Factors for Gender Balance and Women Empowerment | |
| Mashinini | Managing communal vegetable production in Lesotho: the case of communal gardens | |
| Smith et al. | Regulating Body Boundaries and Health during the Second World War: Nationalist Discourse, Media Representations and the Experiences of Canadian Women War Workers |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |