CN-122022285-A - Multi-age-segment child rest behavior preference analysis system

CN122022285ACN 122022285 ACN122022285 ACN 122022285ACN-122022285-A

Abstract

The invention relates to the technical field of child behavior analysis, and discloses a multi-age-period child rest behavior preference analysis system which comprises a multi-dimensional acquisition module and an intelligent analysis module. The system acquires management data of urban green space and recreation behavior management data of a tested child through a multidimensional acquisition module, classifies the management data to form a data set, an intelligent analysis module evaluates the welcome degree of each green space, generates an attraction index, provides data support for facility configuration optimization and people stream dredging, improves the practical value of the green space, accurately calculates correlation coefficients of age, height and two kinds of recreation behavior duration, reveals the adaptation rule of the child growth stage and the recreation behavior, generates a preference index, accurately reflects the matching level of the green configuration and the child preference, comprehensively analyzes the high-precision, specifically triggers optimization measures, ensures the green space to adapt to children of multiple ages by adjusting facility layout, dividing exclusive areas, adding facilities and the like, and has good individuation management recreation experience.

Inventors

ZHANG ZHE
LI TIANYU
LI ZHIHENG
HAO YUHUI
Xiong Ruohan
LI JIAJIA
TANG YIDAN

Assignees

西南林业大学

Dates

Publication Date: 20260512
Application Date: 20260114

Claims (10)

1. The system for analyzing the recreation behavior preference of the children in the multiple ages is characterized by comprising a multidimensional monitoring module and an intelligent analysis module; The multidimensional acquisition module acquires management data of urban green space and recreation behavior management data of all tested children by connecting a big data platform and a database, and classifies the management data into a green data set and a child data set; The intelligent analysis module comprises a heat evaluation unit, a behavior analysis unit and an optimization management unit, wherein the heat evaluation unit is provided with a monitoring period with a fixed duration And then combining the green land data sets to evaluate the popularity of each green land space and generate a corresponding attraction index The behavior analysis unit evaluates the correlation coefficients of the growth stage and the rest behaviors of the children in different dimensions according to the child data set And generates a corresponding preference index The optimization management unit is provided with a fixed-value suction threshold value And preference threshold Recombined with the suction index Correlation coefficient And preference threshold And outputting a corresponding urban green space optimization suggestion.
2. The system of claim 1, wherein the greenbelt data set comprises a total number of children playing, a total length of children staying, a total queuing length of children, a total number of children playing repeatedly 2 times or more, a total number of children playing facilities, and a number of actual use facilities of the children, wherein the children playing facilities comprise slides, swings, sand pits, climbing frames, teeterboards, trampoline, science popularization facilities, and intelligent game facilities.
3. The system of claim 2, wherein the set of test data comprises an age, a height, a type of recreational activity, and a length of recreational activity for each of the test children, wherein the type of recreational activity comprises a physical type comprising use of slides, swings, sand pits, climbing frames, teeterboards, and trampoline, and the cognitive type of recreational activity comprises use of science popularization facilities and educational game facilities.
4. The system for analyzing the preference of the recreation behavior of a plurality of children in a period of ages according to claim 3, wherein the attraction index The calculation flow is as follows: Extracting monitoring period according to greenbelt data set In, the first Management data of the green space and will monitor the period In, the first The total number of players in the green space is recorded as Will monitor the period In, the first The number of children playing persons in the green space is recorded as Will monitor the period In, the first The total residence time of all children in the green space is recorded as Will monitor the period In, the first The total queuing time of the children in the green space is recorded as Will monitor the period In, the first The number of children repeatedly playing 2 times or more in the green space is recorded as Will monitor the period In, the first The total number of the children playing facilities in the green space is recorded as Will monitor the period In, the first The number of practical use facilities of the children in the green space is recorded as ; In the formula (i), Indicating the occupancy of the passenger flow of the child, Representing the weight for the child traffic duty cycle, Indicating the average residence time of the child, The weights for the average stay length of the child are represented, Indicating the average queuing time for the child, Weights representing the average queuing time of the child, Indicating that the child repeatedly plays the duty cycle, Weights representing the repeated play duty cycle of the child, Indicating the utilization rate of the children playing facilities, Weights representing the utilization of the child play facilities, 、、、 And Are all constant and , Representing the monitoring period In, the first Attraction index of each greenbelt space.
5. The system for analyzing the preference of the rest behavior of a child in a plurality of ages according to claim 4, wherein the correlation coefficient between the age of the child to be tested and the duration of the rest behavior is the correlation coefficient The calculation flow is as follows: based on the child data set, the age of each of the test children was recorded as , Representing the total number of the tested children, and marking the physical recreation time length of each tested child with the same time stamp as The cognitive rest behavior duration of each test child with the same time stamp is recorded as ; In the formula (i), Represent the first The age of the individual children to be referred to, , Mean age of the children tested; In the formula (i), Represent the first The physical recreation behavior duration of the individual children is tested, Representing the average value of the time length of physical type recreation behaviors of the children to be tested; In the formula (i), Represent the first The cognitive rest behavior duration of the individual participants, Representing the average value of the time length of cognitive rest behaviors of the children to be tested; In the formula (i), Representing the covariance of the age of the test child with the length of physical recreation, The sum of squares of mean differences representing the ages of the children under test, The sum of squares of the deviation differences representing the duration of physical recreation, A correlation coefficient representing the age of the child under test and the length of physical recreation; In the formula (i), Representing the covariance of the age of the test child with the duration of cognitive rest behavior, Sum of squares of mean deviation representing cognitive rest behavior duration, And the correlation coefficient of the age of the tested children and the cognitive type recreation behavior duration is expressed.
6. The system for analyzing the preference of the rest behavior of the children with multiple ages according to claim 5, wherein the correlation coefficient of the height of the tested children and the duration of the rest behavior is characterized by The calculation flow is as follows: from the child data set, the height of each tested child was recorded as ; In the formula (i), Represent the first The height of the child is tried to be tested, , Representing the average height of the child to be tested; In the formula (i), Representing the covariance of the height of the tested child and the physical recreation behavior duration, Represents the sum of squares of the mean deviation of the heights of the children to be tested, The correlation coefficient of the height of the tested child and the physical recreation behavior duration is represented; In the formula (i), Representing the covariance of the height of the participant child and the length of cognitive rest behavior, And the correlation coefficient of the height of the tested child and the cognitive type recreation behavior duration is expressed.
7. The system for analyzing the preference of the recreation behavior of the children with multiple ages according to claim 6, wherein the preference index The calculation flow is as follows: In the formula (i), A weight representing a coefficient of correlation of the age of the child under test with the length of physical recreation, Weights representing the correlation coefficients of the age of the test child and the cognitive length of the rest behavior, The weight of the correlation coefficient of the height and the physical recreation behavior duration of the tested children is represented, A weight representing the correlation coefficient of the height of the tested child and the cognitive type recreation behavior duration, 、、 And Are all constant and 。
8. The system for analyzing the preference of the rest behavior of a child with multiple ages according to claim 7, wherein the attraction index Suction threshold value is less than or equal to When the popularity of the corresponding green space is not up to the standard, triggering measures comprise adding children playing facilities and sunshade resting facilities, and planning and organizing holiday theme activities.
9. The system for analyzing the preference of the rest behaviors of the children in the multiple age groups according to claim 8, wherein when the correlation coefficient of the age of the reference child and the duration of the rest behaviors is >0, the age of the reference child is positively correlated with the duration of the corresponding type of the rest behaviors, when the correlation coefficient of the age of the reference child and the duration of the rest behaviors <0, the age of the reference child is negatively correlated with the duration of the rest behaviors, when the correlation coefficient of the height of the reference child and the duration of the rest behaviors >0, the height of the reference child is positively correlated with the duration of the corresponding type of the rest behaviors, and when the correlation coefficient of the height of the reference child and the duration of the rest behaviors <0, the height of the reference child is negatively correlated with the duration of the corresponding type of the rest behaviors.
10. The system for analyzing the preference of the recreation behavior of the children with multiple ages according to claim 9, wherein the preference index Preference threshold value or less When the urban green space is insufficient in adaptability to the recreation behavior preference of the children in multiple ages, the triggering measures comprise adjusting the layout planning of the child playing facilities, dividing the exclusive activity areas according to the heights of the children, and configuring the child playing facilities with corresponding specifications for each area.

Description

Multi-age-segment child rest behavior preference analysis system Technical Field The invention relates to the technical field of child behavior analysis, in particular to a system for analyzing the preference of the rest behaviors of children in multiple ages. Background The child recreation behavior refers to a series of activities and behavior manifestations of the child, which are developed based on autonomous willingness and aim at recreation, recreation and physical and mental development, in leisure time, and is an indispensable component in the growth process of the child. The activity scene covers multiple spaces such as urban green space, community park, recreation ground, campus air space and the like, and the activity forms can be divided into physical recreation and cognitive recreation. Physical recreation includes running, climbing, riding, ball sports, etc., which exercise the limbs coordination of children, strengthen physique, and develop regular consciousness and social ability in interaction with peers. Cognitive recreation includes observation science popularization learning, intelligent game, manual creation and the like, which is helpful for stimulating curiosity, imagination and creativity of children and promoting development of language expression and logic thinking ability. From the aspect of developing psychology, the rest behaviors of children at different ages are obviously different, children at low ages (3-6 years) prefer parent-child accompanying rest, activities are mainly simple sensory experience, children at school ages (7-12 years) are more prone to co-operative rest of the peers, and the complexity and challenges of the activities are improved. The child recreation behavior is not only a mode of relaxing the mind and body of the child, but also an important way of socialization development, cognitive ability construction and personality shaping, and is directly related to the overall healthy growth of the child. At present, the traditional child recreation behavior preference analysis system easily ignores the relevance of green space facility configuration, passenger flow structures, child individual ages, heights and behavior type characteristics, and is difficult to accurately reflect core influencing factors of recreation behaviors, so that individual demands of children in multiple ages cannot be covered. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a system for analyzing the recreation behavior preference of the children in multiple ages, which has the advantages of high comprehensive analysis accuracy, good recreation experience of personalized management and the like, and solves the problems that the traditional system for analyzing the recreation behavior preference of the children ignores the relevance between the space facility configuration of the greenbelt and the individual characteristics of the children and cannot cover the personalized requirements of the children in multiple ages. In order to achieve the aim, the invention provides the technical scheme that the system for analyzing the preference of the child's recreation behavior in multiple ages comprises a multidimensional monitoring module and an intelligent analyzing module; The multidimensional acquisition module acquires management data of urban green space and recreation behavior management data of all tested children by connecting a big data platform and a database, and classifies the management data into a green data set and a child data set; The intelligent analysis module comprises a heat evaluation unit, a behavior analysis unit and an optimization management unit, wherein the heat evaluation unit is provided with a monitoring period with a fixed duration And then combining the green land data sets to evaluate the popularity of each green land space and generate a corresponding attraction indexThe behavior analysis unit evaluates the correlation coefficients of the growth stage and the rest behaviors of the children in different dimensions according to the child data setAnd generates a corresponding preference indexThe optimization management unit is provided with a fixed-value suction threshold valueAnd preference thresholdRecombined with the suction indexCorrelation coefficientAnd preference thresholdAnd outputting a corresponding urban green space optimization suggestion. Preferably, the greenbelt data set comprises total number of players, total stay time of children, total queuing time of children, total number of children playing facilities, total number of actual use facilities of children, and total number of practical use facilities of children, wherein the children playing facilities comprise slides, swings, sand pits, climbing frames, teeterboards, trampolines, science popularization facilities and intelligent game facilities. Preferably, the reference data set includes an age, a height, a type of recreation behavior and a recreation beh