CN112422660A - Wisdom endowment user management system - Google Patents
Wisdom endowment user management system Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The invention relates to the field of big data and intelligent endowment, and discloses an intelligent endowment user management system, which comprises: the system comprises a user terminal, a smart endowment cloud platform and activity place recommendation equipment. The intelligent endowment cloud platform comprises an activity distribution video module, an activity place distribution module, an activity place recommendation module and a database. An activity distribution video module of the intelligent endowment cloud platform sends personnel distribution query requests to each activity place recommendation device according to the activity place recommendation requests, and each activity place recommendation device marks a monitoring range on a monitoring video in the latest monitoring period according to the received personnel distribution query requests to generate personnel activity distribution videos. And the activity place distribution module analyzes the personnel activity distribution of each personnel activity distribution video to obtain personnel activity distribution data. And the activity place recommending module analyzes the historical activity data and the personnel activity distribution data of the target user to obtain an activity place recommending table and sends the activity place recommending table to the user terminal.
Description
Technical Field
The invention relates to the field of big data and intelligent endowment, in particular to a management system for intelligent endowment users.
Background
The intelligent endowment means that advanced IT technical means are utilized to develop an Internet of things system platform for the old at home, communities and institutions, and real-time, quick, efficient, internet of things and intelligent endowment services are provided. By means of the comprehensive service platform of 'endowment' and 'health', medical institutions, service providers, individuals and families are connected, and diversified and multi-level requirements of the old are met.
The intelligent endowment service platform takes community-based family endowment groups as service objects, is accessed to various terminal health monitoring products to collect and integrate safety and health related information of the old, and connects professional medical health service institutions, rehabilitation centers and home services with individuals and families at any time and any place.
By means of a broadband information network, modern information technologies such as a video monitoring technology, a Geographic Information System (GIS), a Global Positioning System (GPS), a computer technology, a communication technology and a multimedia technology are fully utilized, existing cross-system informatization resources are integrated and utilized, and an intelligent old-age care basic platform is uniformly constructed.
Wisdom endowment will endowment service by manual work to intelligent, automatic change, carries out a abundant integration with people, thing, information and service with the help of information technology, through constructing service platform, realizes endowment service's comprehensiveness, wholeness and sociality, has improved endowment service's convenience and accuracy, in time, satisfies user's diversified endowment service demand effectively.
Disclosure of Invention
In the existing community endowment service environment, because the information retrieval and processing capability of the user is not strong, the user can not search and find the activity place suitable for the user's own needs. Therefore, a solution based on the smart endowment cloud platform is needed to be provided so as to realize intelligent recommendation of the activity place of the user.
Aiming at the defects of the prior art, the invention provides an intelligent aged-care user management system, which comprises: the system comprises a user terminal, a smart endowment cloud platform and activity place recommendation equipment, wherein the smart endowment cloud platform is in communication connection with the user terminal and the activity place recommendation equipment respectively, and comprises an activity distribution video module, an activity place distribution module, an activity place recommendation module and a database.
After an activity place recommendation request sent by a user terminal is received, an activity distribution video module of the smart endowment cloud platform sends a personnel distribution query request to each activity place recommendation device according to the activity place recommendation request, and each activity place recommendation device marks a monitoring range on a monitoring video in the latest monitoring period according to the received personnel distribution query request to generate a personnel activity distribution video and sends the personnel activity distribution video to the smart endowment cloud platform;
the activity place distribution module obtains a personnel activity distribution sequence according to the activity distribution video module, obtains a visual angle transformation model of the personnel activity distribution sequence according to the installation position of the activity place recommendation equipment, the position of the first equipment marker and the position of the second equipment marker, and then carries out visual angle transformation on a personnel activity distribution image in the personnel activity distribution sequence according to the visual angle transformation model to obtain a standard personnel distribution image;
the activity place distribution module acquires a first region width, a second region width, a first mark height and a second mark height according to the standard personnel distribution image, obtains a transformation coefficient of each position in the activity region according to the first region width, the second region width, the first mark height and the second mark height to generate a transformation matrix, and obtains personnel activity distribution data according to the transformation matrix analysis;
and the activity place recommending module acquires the historical activity data of the target user from the database according to the user number of the activity place recommending request, analyzes the historical activity data of the target user and the personnel activity distribution data to obtain an activity place recommending table and sends the activity place recommending table to the user terminal.
According to a preferred embodiment, the activity place recommending device is a monitoring device with data transmission function and communication function, which is arranged at each activity place in the intelligent endowment community, and comprises: a gun-type camera, an integral camera, a hemispherical camera, and a fisheye camera.
According to a preferred embodiment, the historical activity data is used to indicate the historical activity location distribution and collaborative activity people of the target user, i.e. the historical activity data is used to indicate where the target user is usually used to go to activities and with which people the habits are active.
According to a preferred embodiment, the staff activity distribution data comprises a plurality of staff activity distribution subdata, and the staff activity distribution subdata is used for indicating staff distribution of corresponding activity places.
According to a preferred embodiment, the activity place recommendation table includes a plurality of activity place recommendation items ranked according to the user matching degree, and the activity place recommendation items are used for indicating the mapping relationship among the activity places, the user matching degree, the person density and the person name word table. The people name table is used to indicate the names of all people who are moving at the corresponding activity location.
According to a preferred embodiment, the activity site is a place for providing the elderly with leisure and entertainment in the smart elderly community, and comprises: chess and card rooms, basketball courts and square dance activity rooms.
According to a preferred embodiment, the obtaining of the person activity distribution data by the activity location distribution module performing the person activity distribution analysis on each person activity distribution video includes:
the activity place distribution module divides each personnel activity distribution video into a plurality of personnel activity distribution images according to a preset time step and sorts all the personnel activity distribution images according to a time sequence to obtain a personnel activity distribution sequence; each personnel activity distribution sequence corresponds to an activity place;
the activity place distribution module acquires the installation position of corresponding activity place recommendation equipment, the position of a first equipment marker and the position of a second equipment marker according to the personnel activity distribution sequence, acquires a visual angle transformation model of the corresponding personnel activity distribution sequence according to the installation position of the activity place recommendation equipment, the position of the first equipment marker and the position of the second equipment marker, and performs visual angle transformation on the personnel activity distribution image in the corresponding personnel activity distribution sequence according to the visual angle transformation model to acquire a standard personnel distribution image; the first equipment marker is an equipment marker arranged in front of the activity place recommendation equipment by a first preset distance; the second equipment marker is an equipment marker arranged in front of the activity place recommendation equipment by a second preset distance; the first preset distance and the second preset distance are preset according to actual conditions;
the activity place distribution module acquires an activity area in a standard personnel distribution image, acquires a first area width and a second area width of the activity area, and then acquires a first mark height and a second mark height of a first equipment marker and a second equipment marker of activity place recommendation equipment corresponding to the personnel activity distribution image in the activity area in the image; the activity area is an area where middle-aged and elderly people gather in an activity place in the standard personnel distribution image; the width of the first area is the width of the upper bottom of the active area, and the width of the second area is the width of the lower bottom of the active area; the first mark height is the height of a first equipment mark object of the activity place recommendation equipment corresponding to the personnel activity distribution image in the image; the second mark height is the height of a second equipment mark of the activity place recommendation equipment corresponding to the personnel activity distribution image in the image.
According to a preferred embodiment, the obtaining of the person activity distribution data by the activity location distribution module performing the person activity distribution analysis on each person activity distribution video includes:
the activity place distribution module obtains a transformation coefficient of each position in the activity area according to the first mark height, the second mark height, the first area width and the second area width to generate a transformation matrix;
the activity place distribution module respectively acquires the positions of the first equipment marker and the second equipment marker in the personnel activity distribution image, and obtains the transformation coefficient of the first equipment marker and the transformation coefficient of the second equipment marker according to the positions of the first equipment marker and the second equipment marker in the personnel activity distribution image and the transformation matrix;
the activity place distribution module acquires the width of the first equipment marker in the standard personnel distribution image, and obtains the width of a first sub-image according to the image division coefficient, the transformation coefficient of the first equipment marker and the width of the first equipment marker in the standard personnel distribution image;
the activity place distribution module acquires the width of the second equipment marker in the standard personnel distribution image, and obtains the width of a second sub-image according to the image division coefficient, the transformation coefficient of the second equipment marker and the width of the second equipment marker in the standard personnel distribution image;
the activity place distribution module carries out weighted average according to the first sub-image width and the second sub-image width to obtain a standard sub-image width, then obtains the positions of the first equipment marker and the second equipment marker in the standard personnel distribution image respectively, and calculates the vertical distance between the position of the first equipment marker in the standard personnel distribution image and the position of the second equipment marker in the standard personnel distribution image to obtain the standard sub-image height;
the activity place distribution module divides the standard personnel distribution image into a plurality of distribution sub-images according to the height of the standard sub-images and the width of the standard sub-images, extracts the characteristics of each distribution sub-image to obtain the image characteristics of the standard personnel distribution image, and then multiplies the transformation matrix with the image characteristics to obtain the image distribution characteristics of each personnel activity distribution image in the personnel activity distribution sequence;
and the activity place distribution module obtains personnel activity distribution data according to the image distribution characteristics of each personnel activity distribution image in the personnel activity distribution sequence.
According to a preferred embodiment, the activity place recommending module performs activity place recommendation according to the historical activity data and the personnel activity distribution data of the target user to obtain an activity place recommending table, and the activity place recommending table comprises:
the activity place recommending module generates a historical activity track table according to historical activity data of the target user; the historical activity track table comprises a plurality of historical activity track items; the historical activity track item is used for indicating the mapping relation of an activity place, a collaborative personnel table and activity time;
the activity place recommending module acquires the activity times and the activity time of the target user in each activity place according to the historical activity track table and acquires the activity interest degree of the target user in each activity place according to the interest degree function, the activity times and the activity time; the activity interest degree indicates the interest degree of a target user in an activity place;
the activity place recommending module acquires a cooperative personnel table of the target user in each activity place according to the historical activity track table, acquires the cooperative times of the target user and each personnel according to the cooperative personnel table of the target user in each activity place, and then acquires the intimacy degree of the target user and each personnel according to the cooperative times of the target user and each personnel; the people are other old people except the target user in the aged-care community; the intimacy degree indicates intimacy degree of the target user and the personnel;
the activity place recommending module acquires the personnel distribution of each activity place according to the personnel activity distribution data to acquire a personnel name table of each activity place, and acquires the activity intimacy of each activity place according to the intimacy of the user and each personnel and the personnel name table of each activity place; the personnel name table is used for indicating the names of all personnel performing activities at the corresponding activity places;
the activity place recommending module calculates the user matching degree of each activity place and the target user according to the activity intimacy degree of each activity place and the activity interestingness degree of each activity place, and then generates an activity place recommending table according to the user matching degree of each activity place and the target user and the personal name table of each activity place.
The invention has at least the following beneficial effects:
according to the intelligent old-age nursing cloud platform, the user terminal sends the activity place recommendation request to be processed in a responding mode, the personnel activity distribution video and the personnel activity distribution data are obtained through query and analysis, then the activity place recommendation table is obtained through analysis according to the historical activity data and the personnel activity distribution data of the target user and sent to the user terminal, and the user personalized management requirements of intelligent old-age nursing can be met.
Drawings
FIG. 1 is a block diagram of an intelligent pension user management system according to an exemplary embodiment;
fig. 2 is a flowchart of a method for managing users based on intelligent endowment according to an exemplary embodiment.
Detailed Description
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
It will be understood that, although the terms first, second, third, etc. may be used herein to describe various devices, elements, components or elements, these devices, elements, components or elements should not be limited by these terms. These terms are only used to distinguish one device, element, component or element from another device, element, component or element.
As shown in fig. 1, in one embodiment, the intelligent pension user management system of the present invention may include: the system comprises a user terminal, a smart endowment cloud platform and activity place recommendation equipment, wherein the smart endowment cloud platform is in communication connection with the user terminal and the activity place recommendation equipment respectively. Wisdom endowment cloud platform includes: the system comprises an activity distribution video module, an activity place distribution module, an activity place recommendation module and a database, wherein communication connection is formed among the modules. It should be noted that the number of the user terminal and the activity site recommendation device may be plural.
The user terminal sends an activity place recommendation request to the smart endowment cloud platform, and the user terminal is a device with a communication function and a data transmission function used by a user, and the device comprises: smart watches, smart phones, and tablet computers. Activity place recommendation equipment is for laying the supervisory equipment who has data transmission function and communication function in each activity place in the wisdom endowment community, and it includes: a gun-type camera, an integral camera, a hemispherical camera, a fisheye camera, and a pinhole camera.
The activity distribution video module sends a personnel distribution query request to each activity place recommendation device according to the activity place recommendation request, and each activity place recommendation device marks a monitoring range on a monitoring video in the latest monitoring period according to the received personnel distribution query request to generate a personnel activity distribution video and sends the personnel activity distribution video to the intelligent endowment cloud platform.
The activity place distribution module obtains a personnel activity distribution sequence according to the activity distribution video module, obtains a visual angle transformation model of the personnel activity distribution sequence according to the installation position of the activity place recommendation device, the position of the first device marker and the position of the second device marker, and then carries out visual angle transformation on personnel activity distribution images in the personnel activity distribution sequence according to the visual angle transformation model to obtain standard personnel distribution images.
The activity place distribution module acquires a first area width, a second area width, a first mark height and a second mark height according to the standard personnel distribution image, obtains a transformation coefficient of each position in the activity area according to the first area width, the second area width, the first mark height and the second mark height to generate a transformation matrix, and analyzes personnel activity distribution according to the transformation matrix to obtain personnel activity distribution data.
And the activity place recommending module acquires the historical activity data of the target user from the database according to the user number of the activity place recommending request, analyzes the historical activity data of the target user and the personnel activity distribution data to obtain an activity place recommending table and sends the activity place recommending table to the user terminal.
In an optional embodiment, the activity place recommending module obtains activity interestingness and activity intimacy of each activity place by the target user according to historical activity data of the target user, then obtains user matching degree of each activity place and the target user according to the activity intimacy of each activity place and the activity interestingness of each activity place through analysis, and then obtains an activity place recommending table through analysis and processing according to the user matching degree and sends the activity place recommending table to the user terminal.
The working method and principle of the present invention will be explained in detail below.
Specifically, as shown in fig. 2, in an embodiment, the method for managing users based on smart endowment may include:
s1, the user terminal sends an activity place recommendation request to the smart endowment cloud platform. An apparatus having a communication function and a data transmission function for use by a user terminal, comprising: smart watches, smart phones, and tablet computers.
Optionally, the activity place recommendation request is used for instructing the smart endowment cloud platform to perform user activity place recommendation on the target user. Optionally, the activity place recommendation request includes a user number for uniquely identifying the user.
S2, the activity distribution video module of the intelligent endowment cloud platform sends a personnel distribution query request to each activity place recommendation device according to the activity place recommendation request, and each activity place recommendation device marks a monitoring range on the monitoring video in the latest monitoring period according to the received personnel distribution query request to generate a personnel activity distribution video and sends the personnel activity distribution video to the intelligent endowment cloud platform.
Optionally, the person distribution query request is used to instruct the activity location recommendation device to send a corresponding person activity distribution video to the smart endowment cloud platform.
Optionally, the activity place recommendation device is a monitoring device with a data transmission function and a communication function, which is arranged in each activity place in the smart endowment community, and comprises: a gun-type camera, an integral camera, a hemispherical camera, a fisheye camera, and a pinhole camera.
Optionally, the place of activity is the place that provides the old man in the wisdom endowment community and take leisure and amusement, and it includes: chess and card rooms, basketball courts and square dance activity rooms. Optionally, the foregoing monitoring period may be preset according to actual conditions.
And S3, the activity location distribution module obtains a personnel activity distribution sequence according to the activity distribution video module, obtains a visual angle transformation model of the personnel activity distribution sequence according to the installation position of the activity location recommendation device, the position of the first device marker and the position of the second device marker, and then carries out visual angle transformation on the personnel activity distribution image in the personnel activity distribution sequence according to the visual angle transformation model to obtain a standard personnel distribution image.
Specifically, the activity location distribution module divides each personnel activity distribution video into a plurality of personnel activity distribution images according to a preset time step and sequences all the personnel activity distribution images according to a time sequence to obtain a personnel activity distribution sequence; each sequence of human activity distributions corresponds to an activity site.
The activity place distribution module acquires the installation position of corresponding activity place recommendation equipment, the position of the first equipment marker and the position of the second equipment marker according to the personnel activity distribution sequence, acquires a visual angle transformation model of the corresponding personnel activity distribution sequence according to the installation position of the activity place recommendation equipment, the position of the first equipment marker and the position of the second equipment marker, and performs visual angle transformation on the personnel activity distribution image in the corresponding personnel activity distribution sequence according to the visual angle transformation model to acquire a standard personnel distribution image. The first device marker is a device marker deployed a first preset distance in front of the activity site recommendation device. The second equipment marker is arranged in front of the activity site recommendation equipment at a second preset distance, and the first preset distance and the second preset distance are preset according to actual conditions.
The activity location distribution module acquires an activity area in the standard personnel distribution image, acquires a first area width and a second area width of the activity area, and then acquires a first mark height and a second mark height of a first equipment marker and a second equipment marker of the activity location recommendation equipment corresponding to the personnel activity distribution image in the activity area in the image.
Optionally, the activity area is an area where middle aged and elderly people gather in the activity place in the standard people distribution image, wherein the first area width is the upper bottom width of the activity area, and the second area width is the lower bottom width of the activity area. The first mark height is the height of a first equipment mark object of the activity place recommendation equipment corresponding to the personnel activity distribution image in the image. The second mark height is the height of a second equipment mark of the activity place recommendation equipment corresponding to the personnel activity distribution image in the image.
S4, the activity place distribution module obtains a first area width, a second area width, a first mark height and a second mark height according to the standard personnel distribution image, obtains a transformation coefficient of each position in the activity area according to the first area width, the second area width, the first mark height and the second mark height to generate a transformation matrix, and analyzes personnel activity distribution according to the transformation matrix to obtain personnel activity distribution data.
Optionally, the staff activity distribution data includes a number of staff activity distribution sub-data, and the staff activity distribution sub-data is used to indicate staff distribution of the corresponding activity site.
Specifically, the activity location distribution module obtains a transformation coefficient of each position in the activity area according to the first mark height, the second mark height, the first area width and the second area width to generate a transformation matrix.
The activity location distribution module respectively obtains the positions of the first equipment marker and the second equipment marker in the personnel activity distribution image, and obtains the transformation coefficient of the first equipment marker and the transformation coefficient of the second equipment marker according to the positions of the first equipment marker and the second equipment marker in the personnel activity distribution image and the transformation matrix.
The activity place distribution module acquires the width of the first equipment marker in the standard personnel distribution image, and obtains the width of the first sub-image according to the image division coefficient, the transformation coefficient of the first equipment marker and the width of the first equipment marker in the standard personnel distribution image.
The activity site distribution module acquires the width of the second equipment marker in the standard personnel distribution image, and obtains the width of a second sub-image according to the image division coefficient, the transformation coefficient of the second equipment marker and the width of the second equipment marker in the standard personnel distribution image.
The activity place distribution module carries out weighted average according to the first sub-image width and the second sub-image width to obtain standard sub-image width, then the first equipment marker and the second equipment marker are respectively obtained at the standard personnel distribution image position, and the vertical distance between the first equipment marker at the standard personnel distribution image position and the vertical distance between the second equipment marker at the standard personnel distribution image position are calculated to obtain standard sub-image height.
And the activity place distribution module divides the standard personnel distribution image into a plurality of distribution sub-images according to the height of the standard sub-images and the width of the standard sub-images, extracts the characteristics of each distribution sub-image to obtain the image characteristics of the standard personnel distribution image, and multiplies the transformation matrix with the image characteristics to obtain the image distribution characteristics of each personnel activity distribution image in the personnel activity distribution sequence.
And the activity place distribution module obtains personnel activity distribution data according to the image distribution characteristics of each personnel activity distribution image in the personnel activity distribution sequence.
S5, the activity place recommending module obtains the historical activity data of the target user from the database according to the user number of the activity place recommending request, and then obtains an activity place recommending table according to the historical activity data of the target user and the personnel activity distribution data through analysis and sends the activity place recommending table to the user terminal.
Preferably, the activity place recommending module obtains the activity interest degree and the activity affinity degree of each activity place of the target user according to the historical activity data of the target user, then obtains the user matching degree of each activity place and the target user according to the activity affinity degree of each activity place and the activity interest degree of each activity place, and then obtains the activity place recommending table according to the user matching degree through analysis and processing, and sends the activity place recommending table to the user terminal.
Alternatively, historical activity data is used to indicate the historical activity location distribution and collaborative activity people of the target user, i.e., historical activity data is used to indicate where the target user is typically accustomed to activities and with which people the habits are active.
Optionally, the activity place recommendation table includes a plurality of activity place recommendation items ranked according to the user matching degree, where the activity place recommendation items are used to indicate mapping relationships among activity places, the user matching degree, the person density, and the person name table. The people name table is used to indicate the names of all people who are moving at the corresponding activity location.
Specifically, the activity place recommending module generates a historical activity track table according to historical activity data of a target user, wherein the historical activity track table comprises a plurality of historical activity track items; the historical activity track item is used for indicating the mapping relation of an activity place, a collaborative personnel table and an activity time.
The activity place recommending module acquires the activity times and the activity time of the target user in each activity place according to the historical activity track table, and analyzes the activity interest degree of the target user in each activity place according to the activity times and the activity time; the activity interest degree is used for representing the interest degree of the target user in the activity place.
Optionally, the activity interestingness is calculated by the following formula:
wherein u is activity interest, T is total activity time in an activity place, N is total activity times of history in the activity place, xi is an activity time control coefficient, e is a natural base number, and delta is an activity time control coefficient.
Optionally, the activity time control coefficient and the activity time control coefficient are preset according to actual conditions.
The activity place recommending module acquires the cooperative personnel list of the target user in each activity place according to the historical activity track list, acquires the cooperative times of the target user and each personnel according to the cooperative personnel list of the target user in each activity place, and then acquires the intimacy degree of the target user and each personnel according to the cooperative times of the target user and each personnel. The personnel are other old people except the target user in the aged-care community, and the intimacy is used for representing the intimacy degree between the target user and the personnel.
Optionally, the calculation formula of the intimacy degree is as follows:
wherein c is the intimacy, W is the total time of activities with the person, H is the total number of times of activities with the person, alpha is the cooperative time control coefficient, e is the natural base number, and beta is the cooperative time control coefficient.
Optionally, the coordination time control coefficient and the coordination number control coefficient are preset according to actual conditions.
The activity place recommending module acquires the personnel distribution of each activity place according to the personnel activity distribution data to acquire a personnel name table of each activity place, and acquires the activity intimacy of each activity place according to the intimacy of the user and each personnel and the personnel name table of each activity place; the people name table is used to indicate the names of all people performing the activity at the corresponding activity site.
Optionally, the calculation formula of the activity intimacy is as follows:
wherein v is the activity intimacy, n is the total number of persons at the activity site, ciI is the people index of the activity site for the closeness of the target user to the ith person of the activity site.
The activity place recommending module calculates the user matching degree of each activity place and the target user according to the activity intimacy degree of each activity place and the activity interest degree of each activity place, and generates an activity place recommending table according to the user matching degree of each activity place and the target user and the personal name table of each activity place.
Optionally, the calculation formula of the user matching degree is as follows:
s＝γeu+λev
wherein s is the user matching degree, u is the activity interest degree, v is the activity intimacy degree, gamma is the intimacy degree control coefficient, lambda is the interest degree control coefficient, and e is the natural base number.
Alternatively, the intimacy degree control coefficient and the interestingness degree control coefficient can be preset according to actual conditions.
According to the intelligent old-age support system and method, the intelligent old-age support cloud platform is used for responding to the activity place recommendation request sent by the user terminal, inquiring and analyzing to obtain the personnel activity distribution video and the personnel activity distribution data, then analyzing to obtain the activity place recommendation table according to the historical activity data and the personnel activity distribution data of the target user, and sending the activity place recommendation table to the user terminal, so that the user personalized management requirement of the intelligent old-age support can be met, and the activity experience of the users in the old-age support community can be optimized.
It will be appreciated by those skilled in the art that although specific functions are discussed above with reference to specific modules, it should be noted that the functions of the various modules discussed herein may be separated into multiple modules and/or at least some of the functions of multiple modules may be combined into a single module. Additionally, a particular module performing an action discussed herein includes the particular module itself performing the action, or alternatively the particular module invoking or otherwise accessing another component or module that performs the action (or performs the action in conjunction with the particular module). Thus, a particular module that performs an action can include the particular module that performs the action itself and/or another module that the particular module that performs the action calls or otherwise accesses.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A smart endowment user management system is characterized by comprising a user terminal, a smart endowment cloud platform and activity place recommendation equipment, wherein the smart endowment cloud platform is respectively in communication connection with the user terminal and the activity place recommendation equipment, the smart endowment cloud platform comprises an activity distribution video module, an activity place distribution module, an activity place recommendation module and a database, wherein,
after receiving an activity place recommendation request sent by a user terminal, an activity distribution video module of the smart endowment cloud platform sends a personnel distribution query request to each activity place recommendation device according to the activity place recommendation request, and each activity place recommendation device marks a monitoring range on a monitoring video in the latest monitoring period according to the received personnel distribution query request to generate a personnel activity distribution video and sends the personnel activity distribution video to the smart endowment cloud platform;
the activity place distribution module obtains a personnel activity distribution sequence according to the activity distribution video module, obtains a visual angle transformation model of the personnel activity distribution sequence according to the installation position of the activity place recommendation equipment, the position of the first equipment marker and the position of the second equipment marker, and then carries out visual angle transformation on a personnel activity distribution image in the personnel activity distribution sequence according to the visual angle transformation model to obtain a standard personnel distribution image;
the activity place distribution module acquires a first region width, a second region width, a first mark height and a second mark height according to the standard personnel distribution image, obtains a transformation coefficient of each position in the activity region according to the first region width, the second region width, the first mark height and the second mark height to generate a transformation matrix, and obtains personnel activity distribution data according to the transformation matrix analysis;
and the activity place recommending module acquires the historical activity data of the target user from the database according to the user number of the activity place recommending request, analyzes the historical activity data of the target user and the personnel activity distribution data to obtain an activity place recommending table and sends the activity place recommending table to the user terminal.
2. The system of claim 1, wherein the activity site recommendation device is a monitoring device with data transmission function and communication function arranged at each activity site in the smart endowment community, and comprises: a gun-type camera, an integral camera, a hemispherical camera, and a fisheye camera.
3. The system according to claim 2, wherein the activity location distribution module divides each human activity distribution video into a plurality of human activity distribution images according to a preset time step and sorts all human activity distribution images according to a time sequence to obtain a human activity distribution sequence; each personnel activity distribution sequence corresponds to an activity place;
the activity place distribution module acquires the installation position of corresponding activity place recommendation equipment, the position of a first equipment marker and the position of a second equipment marker according to the personnel activity distribution sequence, acquires a visual angle transformation model of the corresponding personnel activity distribution sequence according to the installation position of the activity place recommendation equipment, the position of the first equipment marker and the position of the second equipment marker, and performs visual angle transformation on the personnel activity distribution image in the corresponding personnel activity distribution sequence according to the visual angle transformation model to acquire a standard personnel distribution image; the first equipment marker is an equipment marker arranged in front of the activity place recommendation equipment by a first preset distance; the second equipment marker is an equipment marker arranged in front of the activity place recommendation equipment by a second preset distance;
the activity place distribution module acquires an activity area in a standard personnel distribution image, acquires a first area width and a second area width of the activity area, and then acquires a first mark height and a second mark height of a first equipment marker and a second equipment marker of activity place recommendation equipment corresponding to the personnel activity distribution image in the activity area in the image, wherein the first area width is the upper bottom width of the activity area, and the second area width is the lower bottom width of the activity area; the first mark height is the height of a first equipment mark object of the activity place recommendation equipment corresponding to the personnel activity distribution image in the image; the second mark height is the height of a second equipment mark of the activity place recommendation equipment corresponding to the personnel activity distribution image in the image.
4. The system of claim 3, wherein the activity location distribution module derives a transform coefficient for each position within the activity area based on the first marker height, the second marker height, the first area width, and the second area width to generate a transform matrix;
the activity place distribution module respectively acquires the positions of the first equipment marker and the second equipment marker in the personnel activity distribution image, and obtains the transformation coefficient of the first equipment marker and the transformation coefficient of the second equipment marker according to the positions of the first equipment marker and the second equipment marker in the personnel activity distribution image and the transformation matrix;
the activity place distribution module acquires the width of the first equipment marker in the standard personnel distribution image, and obtains the width of a first sub-image according to the image division coefficient, the transformation coefficient of the first equipment marker and the width of the first equipment marker in the standard personnel distribution image;
the activity place distribution module acquires the width of the second equipment marker in the standard personnel distribution image, and obtains the width of a second sub-image according to the image division coefficient, the transformation coefficient of the second equipment marker and the width of the second equipment marker in the standard personnel distribution image;
the activity place distribution module carries out weighted average according to the first sub-image width and the second sub-image width to obtain standard sub-image width, then the first equipment marker and the second equipment marker are respectively obtained at the standard personnel distribution image position, and the vertical distance between the first equipment marker at the standard personnel distribution image position and the vertical distance between the second equipment marker at the standard personnel distribution image position are calculated to obtain standard sub-image height.
5. The system according to claim 4, wherein the activity site distribution module divides the standard personnel distribution image into a plurality of distribution sub-images according to the height of the standard sub-images and the width of the standard sub-images, extracts the characteristics of each distribution sub-image to obtain the image characteristics of the standard personnel distribution image, and then multiplies the transformation matrix with the image characteristics to obtain the image distribution characteristics of each personnel activity distribution image in the personnel activity distribution sequence;
and the activity place distribution module obtains personnel activity distribution data according to the image distribution characteristics of each personnel activity distribution image in the personnel activity distribution sequence.
6. The system of claim 5, wherein the activity site recommendation module analyzes the historical activity data of the target user to obtain activity interest and activity affinity of the target user for each activity site, then analyzes the activity affinity and activity interest of each activity site to obtain user matching between each activity site and the target user,
and the activity place recommending module is used for recommending the activity places according to the user matching degree to obtain an activity place recommending table and sending the activity place recommending table to the user terminal.
7. The system according to claim 6, wherein the activity place recommendation module generates a historical activity track table according to historical activity data of the target user, wherein the historical activity track table comprises a plurality of historical activity track items, and the historical activity track items are used for representing mapping relations of activity places, cooperative personnel tables and activity time;
the activity place recommending module acquires the activity times and the activity time of the target user in each activity place according to the historical activity track table, and analyzes the activity interest degree of the target user in each activity place according to the activity times and the activity time.
8. The system according to one of claims 1 to 7, wherein the user terminal is a device with communication function and data transmission function used by the user, and comprises: smart watches, smart phones, and tablet computers.
9. The system of claim 8, wherein the staff activity distribution data comprises a number of staff activity distribution sub-data characterizing a staff distribution of a respective activity site.
10. The system according to any one of claims 1 to 9, wherein the activity place recommendation table comprises a plurality of activity place recommendations sorted according to user matching degree, and the activity place recommendations are used for indicating mapping relations of activity places, user matching degrees and a personal name table.
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