CN116308955A - Intelligent community for health care management based on AI artificial intelligence - Google Patents
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Abstract
The application relates to an intelligent community for health management based on AI artificial intelligence, wherein behavior monitoring data of users in the intelligent community are obtained; according to the set reporting frequency, reporting the behavior monitoring data to a cloud service platform of the intelligent community at regular time; the cloud service platform receives the behavior monitoring data, performs cloud computing on the behavior monitoring data by utilizing a behavior identification model, and sends behavior early warning information to an intelligent community when the behavior is found to accord with preset conditions; and the management center of the intelligent community receives the behavior early warning information, and goes to an early warning point to perform health maintenance management on the user. The intelligent recognition and judgment of AI can be carried out on the indoor resident behaviors outside the community, early warning of the behaviors responds timely and goes to the position points to carry out health management, cloud model is utilized to calculate data cloud, an intelligent community is created, and intelligent service is well provided for community residents.
Description
Technical Field
The disclosure relates to the technical field, in particular to an intelligent community, a health management method and a control system for health management based on AI artificial intelligence.
Background
The intelligent community is a new social innovation management mode, and is an integrated application of new generation information technologies such as the Internet of things, cloud computing and the mobile Internet, and provides a safe, comfortable and convenient modern and intelligent living environment for community residents, so that a community with a new management form based on informatization and intelligent social management and service is formed.
In the management of the intelligent communities, the most critical is to solve the problem of living behaviors of resident users, and the resident clothing and eating, medical treatment, kang Yang and the like all need to be cared for, so that the management deficiency in a certain aspect is avoided.
In the existing intelligent communities, most of the intelligent communities are based on behavior monitoring in the mode of the internet of things, resident behavior information and audio/video information are collected and used as single management requirements for community tracking residents, and deep intelligent health management is rarely involved. The acquired information is only on the low-level intelligent management plane, and the definition of the intelligent community is not exerted, so that high-level service can not be provided for community residents.
For residents in the intelligent community, how to obtain good health management, care in life behavior and timely care of the intelligent community is the focus of attention of the residents in the community. However, the health of the existing communities can not meet the requirements, such as falling, falling injury, disease burst and other conditions in the home or communities, and community administrators can not accurately know the behavior and requirements of residents in the communities in time. Therefore, the application of the intelligent community in health care management needs to be optimized, and positioning type health care management is accurately performed on resident behaviors.
Disclosure of Invention
In order to solve the problems, the application provides an intelligent community, a health management method and a control system for health management based on AI artificial intelligence.
In one aspect of the present application, an intelligent community for performing health care management based on AI artificial intelligence is provided, which is characterized by comprising:
the home monitoring unit is used for acquiring home monitoring data A of the smart community user at home;
the community monitoring unit is used for acquiring community monitoring data B of the user moving in the intelligent community;
the clock module is used for setting the reporting frequency of the intelligent gateway message to the cloud service platform;
the intelligent gateway is used for regularly reporting the home monitoring data A and/or the community monitoring data B to a cloud service platform of the intelligent community according to the set reporting frequency;
and the cloud service platform is used for receiving the behavior monitoring data, carrying out cloud computing on the home monitoring data A and/or the community monitoring data B by utilizing a behavior identification model, and sending behavior early warning information and sending the behavior early warning information to the intelligent community when the behavior is found to be in accordance with a preset condition.
As an optional embodiment of the present application, optionally, the cloud service platform is disposed on:
the household behavior recognition model is used for carrying out cloud computing on the household monitoring data A, and recognizing and obtaining household behavior early warning information meeting preset conditions;
the community behavior recognition model is used for carrying out cloud computing on the community monitoring data B, and recognizing and obtaining community behavior early warning information meeting preset conditions;
and the port is used for sending the behavior early warning information identified by the model to a management center of the intelligent community.
As an optional embodiment of the present application, optionally, the cloud service platform further comprises:
the authorization management module is used for authorizing the manager of the intelligent community to send the password;
when receiving household behavior early warning information sent by a cloud service platform, an administrator of the intelligent community management center goes to an early-warning community user according to the early warning information and requests for intelligent access control of the community user;
if no response of the intelligent access control of the community user is found, an authorization request is sent to an authorization management module of the cloud service platform;
the authorization management module receives the authorization request, performs identity authentication on an administrator and records a log, and authorizes to send a password after the authentication is passed;
after the intelligent access control obtains the password sent by the authorization management module, the intelligent access control automatically opens the door, and an administrator enters and carries out health care management on the community users.
In another aspect of the present application, a health care management method is provided, which is implemented based on the above-mentioned intelligent community performing health care management based on AI artificial intelligence, and includes the following steps:
acquiring behavior monitoring data of users in the intelligent community;
according to the set reporting frequency, reporting the behavior monitoring data to a cloud service platform of the intelligent community at regular time;
the cloud service platform receives the behavior monitoring data, performs cloud computing on the behavior monitoring data by utilizing a behavior identification model, and sends behavior early warning information to an intelligent community when the behavior is found to accord with preset conditions;
and the management center of the intelligent community receives the behavior early warning information, and goes to an early warning point to perform health maintenance management on the user.
As an optional embodiment of the present application, optionally, obtaining behavior monitoring data of the smart community user includes:
presetting behavior characteristics;
setting a behavior acquisition type according to the behavior characteristics;
acquiring home monitoring data A of a smart community user home through a home monitoring unit within the behavior acquisition type;
acquiring community monitoring data B of a user moving in an intelligent community through a community monitoring unit within the behavior acquisition type;
and respectively backing up and storing the home monitoring data A and the community monitoring data B by adopting a dynamic hard disk.
As an optional embodiment of the present application, optionally, the method for creating a behavior recognition model includes:
collecting a behavior data sample;
based on a deep learning technology, taking the behavior data sample as input, and performing model training to obtain a corresponding behavior recognition model;
performing model test and correction on the behavior recognition model;
after the test passes and is corrected, working parameters are configured for the behavior recognition model;
and deploying the behavior recognition model on the cloud service platform, and distributing a port for the behavior recognition model.
As an optional implementation manner of the present application, optionally, according to the set reporting frequency, reporting the behavior monitoring data to a cloud service platform of the smart community at regular time, including:
the intelligent gateway receives the behavior monitoring data and judges the type of acquisition equipment of the behavior monitoring data;
according to the type of the acquisition equipment, setting reporting frequency of the acquired data for the acquisition equipment;
and according to the set reporting frequency, reporting the behavior monitoring data acquired by the acquisition equipment to a cloud service platform of the intelligent community at regular time.
As an optional implementation manner of the present application, optionally, the cloud service platform receives the behavior monitoring data, performs cloud computing on the behavior monitoring data by using a behavior recognition model, and when the behavior is found to meet a preset condition, sends behavior early warning information to the smart community, including:
presetting behavior recognition conditions for each behavior recognition model;
the cloud service platform receives the behavior monitoring data and judges the data type of the behavior monitoring data;
calling the corresponding behavior recognition model according to the data type;
cloud computing is carried out on the behavior monitoring data by utilizing the behavior recognition model, and whether behaviors in the behavior monitoring data accord with behavior recognition conditions preset on the behavior recognition model or not is recognized and judged:
if yes, sending behavior early warning information to the intelligent community;
otherwise, ending.
As an optional implementation manner of the present application, optionally, the management center of the smart community receives the behavior early warning information, goes to an early warning point to perform health maintenance management on the user, and includes:
the management center of the intelligent community receives and analyzes the behavior early warning information to obtain user behavior information, user identity information and early warning point position information related to early warning;
the administrator carries out health care management on the user by going to the early warning point according to the user behavior information, the user identity information and the early warning point position information related to early warning, and the method comprises the following steps:
(1) If the information is community behavior early warning information, an administrator of the intelligent community management center goes to an early warning point of a community to perform health maintenance management on the user;
(2) If the information is household behavior early warning information, an administrator of the intelligent community management center requests an intelligent access control response to the community user when receiving the household behavior early warning information sent by the cloud service platform and going to the early warning community user according to the early warning information;
if no response of the intelligent access control of the community user is found, an authorization request is sent to an authorization management module of the cloud service platform;
the authorization management module receives the authorization request, performs identity authentication on an administrator and records a log, and authorizes to send a password after the authentication is passed;
after the intelligent access control obtains the password sent by the authorization management module, the intelligent access control automatically opens the door, and an administrator enters and carries out health care management on the community users.
In another aspect of the present application, a control system is also provided, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement one of the above-described health management methods when executing the executable instructions.
The invention has the technical effects that:
based on the embodiment of the application, the behavior monitoring data of the intelligent community user are obtained; according to the set reporting frequency, reporting the behavior monitoring data to a cloud service platform of the intelligent community at regular time; the cloud service platform receives the behavior monitoring data, performs cloud computing on the behavior monitoring data by utilizing a behavior identification model, and sends behavior early warning information to an intelligent community when the behavior is found to accord with preset conditions; and the management center of the intelligent community receives the behavior early warning information, and goes to an early warning point to perform health maintenance management on the user. The intelligent recognition and judgment of AI can be carried out on the indoor resident behaviors outside the community, early warning of the behaviors responds timely and goes to the position points to carry out health management, cloud model is utilized to calculate data cloud, an intelligent community is created, and intelligent service is well provided for community residents.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features and aspects of the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 shows a schematic diagram of an application system for intelligent communities based on AI artificial intelligence for health management in accordance with the present invention;
FIG. 2 is a schematic diagram of a deployment application of the cloud service platform of the present invention;
fig. 3 shows a schematic diagram of an application of remote authorization door opening for the cloud service platform of the present invention;
FIG. 4 is a schematic flow chart of the health management method of the present invention;
fig. 5 shows a schematic flow chart of the training model of the invention.
Detailed Description
Various exemplary embodiments, features and aspects of the disclosure will be described in detail below with reference to the drawings. In the drawings, like reference numbers indicate identical or functionally similar elements. Although various aspects of the embodiments are illustrated in the accompanying drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
In addition, numerous specific details are set forth in the following detailed description in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements, and circuits well known to those skilled in the art have not been described in detail in order not to obscure the present disclosure.
The intelligent community intelligent management system combines the intelligent internet of things technology and the deep learning technology to construct an intelligent community, acquires indoor and outdoor resident behavior data of the intelligent community by utilizing each internet of things device, reports the data to the cloud server through the intelligent gateway, and an administrator of the intelligent community can know the household condition of an indoor household user and outdoor resident activity behavior from a background management system in real time. The two kinds of behavior data can be identified and analyzed through the behavior identification model obtained through training, whether the resident behavior has danger or accords with preset behavior characteristics/conditions is judged, and early warning is carried out if the resident behavior accords with the preset behavior characteristics/conditions, and an administrator can receive position information containing early warning points, dangerous behavior information and even resident information and can timely and accurately go to the early warning points to carry out health management and care on the resident.
Example 1
As shown in fig. 1, in one aspect, the present application provides an intelligent community for health management based on AI artificial intelligence, which is characterized by comprising:
the home monitoring unit is used for acquiring home monitoring data A of the smart community user at home; the home monitoring can be a cloud camera and other devices, and shooting is carried out on the home behavior of the old, for example, the acquired data can be uniformly reported to a cloud server through a gateway of a community; the detection of the home behavior may be the monitoring of the fall of the elderly or other behavior actions, and the embodiment is not limited;
the community monitoring unit is used for acquiring community monitoring data B of the user moving in the intelligent community; the community monitoring is mainly outdoor behavior monitoring of residents, and is carried out through equipment such as infrared cameras, cloud cameras and the like deployed in communities; the monitoring of the community activity behavior can be matrix activity in the community, playing behavior of children at the side of a pool and the like, and can be defined as long as the community is in outdoor activity;
the clock module is used for setting the reporting frequency of the intelligent gateway message to the cloud service platform; the indoor and outdoor behavior monitoring data are reported through intelligent gateways deployed in communities, a timing message mechanism is adopted in the embodiment, and a clock module is deployed to set a timing mode of the intelligent gateways. The clock module can be carried out by adopting a clock circuit or a timer or a remote timing system, and the installation mode of the clock module is installed and deployed according to the selected clock scheme, such as a clock circuit board card-clock chip installed in the intelligent gateway; after the timing time is set, the intelligent gateway carries out the message according to the timing mode.
The intelligent gateway is used for regularly reporting the home monitoring data A and/or the community monitoring data B to a cloud service platform of the intelligent community according to the set reporting frequency; the intelligent gateway is used as common gateway equipment of the Internet of things system and is used for providing network capability and distributing and collecting data, and the intelligent gateway is used by adopting conventional gateway equipment;
and the cloud service platform is used for receiving the behavior monitoring data, carrying out cloud computing on the home monitoring data A and/or the community monitoring data B by utilizing a behavior identification model, and sending behavior early warning information and sending the behavior early warning information to the intelligent community when the behavior is found to be in accordance with a preset condition. The cloud service platform adopts cloud server technology of cloud computing, a cloud server is adopted as a data processing center of the intelligent community, a behavior recognition model, a management system, a control system, a database, an authorization management system and the like of the intelligent community are deployed on the cloud server, and an administrator of the intelligent community interacts with the cloud service platform through background management software, so that behavior data and early warning information after behavior recognition are obtained.
The description of the community resident identity information, the resident residence and other house information is stored in the cloud service database, and the embodiment will not be repeated.
The intelligent communities and community residents all carry out identity authorization registration on the cloud server, so that data security circulation and interaction are conveniently carried out in the same intelligent joint management platform.
According to the cloud service platform, computing capacity is provided for the cloud by priority, and service computing capacity under a plurality of scenes can be handled.
As shown in fig. 2, as an optional embodiment of the present application, optionally, the cloud service platform is disposed on:
the household behavior recognition model is used for carrying out cloud computing on the household monitoring data A, and recognizing and obtaining household behavior early warning information meeting preset conditions;
the community behavior recognition model is used for carrying out cloud computing on the community monitoring data B, and recognizing and obtaining community behavior early warning information meeting preset conditions;
and the port is used for sending the behavior early warning information identified by the model to a management center of the intelligent community.
In this embodiment, behaviors of communities are divided into: indoor household behavior and outdoor community behavior. The behavior comprises a number of different types of behavior actions, in particular defined by a community manager, and defining behavior characteristics of the corresponding behavior actions.
Aiming at the behaviors of the two aspects, the embodiment respectively adopts a deep learning mode to obtain a corresponding behavior recognition model: and the household behavior recognition model and the community behavior recognition model respectively perform recognition judgment on the behavior data of each type, and perform behavior early warning when the behavior data are found to accord with specific behavior characteristics/conditions.
When different data are reported to a cloud server at regular time through an intelligent gateway, judging the data types, respectively calling corresponding behavior identification models to perform cloud computing on the preprocessed behavior data, and analyzing and judging whether specific behaviors or several behaviors in the behavior data accord with preset behavior specifications. And if the behavior is consistent, ending the judgment of the current behavior, otherwise, performing behavior judgment, outputting early warning information of non-consistent behavior, such as sending an early warning prompt (with color) to the background, and clicking the early warning prompt event if an administrator sees the prompt.
The method of model training will be described in embodiment 2, and this embodiment will not be described in detail.
As shown in fig. 3, as an optional embodiment of the present application, optionally, the cloud service platform further includes:
the authorization management module is used for authorizing the manager of the intelligent community to send the password;
when receiving household behavior early warning information sent by a cloud service platform, an administrator of the intelligent community management center goes to an early-warning community user according to the early warning information and requests for intelligent access control of the community user;
if no response of the intelligent access control of the community user is found, an authorization request is sent to an authorization management module of the cloud service platform;
the authorization management module receives the authorization request, performs identity authentication on an administrator and records a log, and authorizes to send a password after the authentication is passed;
after the intelligent access control obtains the password sent by the authorization management module, the intelligent access control automatically opens the door, and an administrator enters and carries out health care management on the community users.
In this embodiment, for the home behavior early warning information obtained by the home behavior recognition, after an administrator obtains a home early warning prompt of a resident, the resident goes to home for health management according to the early warning prompt.
The intelligent community adopts the intelligent entrance guard, the password of the intelligent entrance guard is reported to the manager in advance through the user, and because the manager and residents register and authenticate the identity, the identity information of the manager and the residents and corresponding house such as entrance guard information are stored in the database of the cloud server, and the authorized use of the information is uniformly managed by the authorized management module deployed on the cloud server.
After the manager obtains the fall behavior early warning of the resident old, the early warning information sends the identity information, the fall behavior data and the residence information of the user to the manager in an event notification mode of early warning prompt, and the manager can go to the early-warning community user according to the early warning information to request the intelligent access control of the community user (the resident old).
(at this time, the door cannot be opened by itself under the condition that the elderly living alone are at home is excluded)
An administrator applies for a door opening request to the system, and requests a background to authorize the door opening of the access control system. The intelligent access control device acquires the information of the manager and then uploads the information to the cloud server, the manager is subjected to identity authentication and log recording through an authorization management module of the cloud service platform, and the access control password is authorized to be sent after the identity authentication and log recording;
after the intelligent access control obtains the password sent by the authorization management module, the door is automatically opened, an administrator enters and carries out health care management on the community users, the old people are subjected to health management, and early warning prompt processing can be responded timely.
Therefore, the method and the device can obtain the recognition result of the behavior to perform early warning response through the rapid recognition and judgment of the behavior recognition model, so that the health management of the intelligent community is effectively and intelligently upgraded.
It should be apparent to those skilled in the art that the implementation of all or part of the above-described embodiments of the method may be implemented by a computer program for instructing relevant hardware, and the program may be stored in a computer readable storage medium, and the program may include the steps of the embodiments of the control methods described above when executed. It will be appreciated by those skilled in the art that implementing all or part of the above-described embodiment methods may be implemented by a computer program for instructing relevant hardware, and the program may be stored in a computer readable storage medium, and the program may include the embodiment flow of each control method as described above when executed. The storage medium may be a magnetic disk, an optical disc, a Read-only memory (ROM), a random access memory (RandomAccessMemory, RAM), a flash memory (flash memory), a hard disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
Example 2
As shown in fig. 4, based on the implementation principle of embodiment 1, another aspect of the present application provides a health care management method, which is implemented based on the above-mentioned intelligent community based on AI artificial intelligence for health care management, and includes the following steps:
s1, acquiring behavior monitoring data of a user in an intelligent community;
s2, according to the set reporting frequency, reporting the behavior monitoring data to a cloud service platform of the intelligent community at regular time;
s3, the cloud service platform receives the behavior monitoring data, performs cloud computing on the behavior monitoring data by utilizing a behavior identification model, and sends behavior early warning information to an intelligent community when the behavior is found to accord with preset conditions;
s4, the management center of the intelligent community receives the behavior early warning information, and goes to an early warning point to perform health maintenance management on the user.
The manner of acquisition and acquisition of the home monitoring data a and the community monitoring data B is specifically described in example 1. The individual steps described above can be understood in conjunction with the description of example 1.
In this embodiment, specific implementation details in each step will be described.
As an optional embodiment of the present application, optionally, obtaining behavior monitoring data of the smart community user includes:
presetting behavior characteristics;
setting a behavior acquisition type according to the behavior characteristics;
acquiring home monitoring data A of a smart community user home through a home monitoring unit within the behavior acquisition type;
acquiring community monitoring data B of a user moving in an intelligent community through a community monitoring unit within the behavior acquisition type;
and respectively backing up and storing the home monitoring data A and the community monitoring data B by adopting a dynamic hard disk.
By implementing the method, data acquisition is carried out on planned behavior actions, behavior feature definition is carried out on effective behavior actions, and waste of hardware/software application resources of an intelligent community is avoided.
And planning out the data range needing to be included in monitoring by an administrator according to the activity behaviors of the community, and excluding the data which do not need to be standardized and monitored. The behavior data to be collected is collected according to a preset collection type, unnecessary behavior data is preprocessed after the data is collected, and the data is cleaned (a common preprocessing means).
Different types of behavioral actions may be defined by taking the behavioral characteristics. Different behavior actions such as falling, falling water and the like can be set, corresponding behavior characteristics such as the definition of the action gesture can be set, and the action can be judged by extracting the behavior characteristics of one action.
Definition of behavior characteristics and extraction of behavior characteristics can be performed by adopting a convolutional neural network.
And collecting the household monitoring data A and the community monitoring data B, and collecting the household monitoring data A and the community monitoring data B within the set behavior collection type, namely after collecting the corresponding behavior monitoring data, controlling the behavior data into the behavior data specified by the behavior collection type through data cleaning, and removing redundant action behavior data. For example, if a behavior monitoring data is found to be a shooting behavior through behavior characteristics, if the behavior monitoring data is not within a preset behavior characteristic range, deleting the community monitoring data B1 of the community activity behavior of shooting.
In the embodiment, a dynamic hard disk is adopted to respectively backup and store the home monitoring data A and the community monitoring data B, so that data omission is avoided.
As shown in fig. 5, as an alternative embodiment of the present application, optionally, the method for creating a behavior recognition model includes:
collecting a behavior data sample;
based on a deep learning technology, taking the behavior data sample as input, and performing model training to obtain a corresponding behavior recognition model;
performing model test and correction on the behavior recognition model;
after the test passes and is corrected, working parameters are configured for the behavior recognition model;
and deploying the behavior recognition model on the cloud service platform, and distributing a port for the behavior recognition model.
The embodiment trains and generates two types of models, namely a household behavior recognition model and a community behavior recognition model, and can also become an indoor model and an outdoor model which respectively correspond to and recognize indoor and outdoor behavior data.
The two behavior recognition models of the indoor model and the outdoor model are trained by adopting community big data corresponding to each other, and the deep learning technology is a constant technology, so that the description of the embodiment is omitted.
After model training is generated, testing and correction are carried out, the model training can be carried out on a cloud server in a front view mode, corresponding data ports are distributed, and data receiving and transmitting are carried out. The port type is not limited.
As an optional implementation manner of the present application, optionally, according to the set reporting frequency, reporting the behavior monitoring data to a cloud service platform of the smart community at regular time, including:
the intelligent gateway receives the behavior monitoring data and judges the type of acquisition equipment of the behavior monitoring data;
according to the type of the acquisition equipment, setting reporting frequency of the acquired data for the acquisition equipment;
and according to the set reporting frequency, reporting the behavior monitoring data acquired by the acquisition equipment to a cloud service platform of the intelligent community at regular time.
When the intelligent gateway carries out the data message, the timing message is carried out according to the type of the data. The data source equipment is tracked and judged to be the acquisition equipment of which type according to the behavior monitoring data, and then the data is reported at regular time according to the reporting frequency set for the equipment.
The device types are divided into a device for collecting household behavior data and an outdoor device for collecting community behavior data, when the Internet of things system is deployed, corresponding message frequencies are set for each device, and after receiving the data of the device, the intelligent gateway obtains the device types and the corresponding reporting frequencies and performs messages according to the device types and the corresponding reporting frequencies.
As an optional implementation manner of the present application, optionally, the cloud service platform receives the behavior monitoring data, performs cloud computing on the behavior monitoring data by using a behavior recognition model, and when the behavior is found to meet a preset condition, sends behavior early warning information to the smart community, including:
presetting behavior recognition conditions for each behavior recognition model;
the cloud service platform receives the behavior monitoring data and judges the data type of the behavior monitoring data;
calling the corresponding behavior recognition model according to the data type;
cloud computing is carried out on the behavior monitoring data by utilizing the behavior recognition model, and whether behaviors in the behavior monitoring data accord with behavior recognition conditions preset on the behavior recognition model or not is recognized and judged:
if yes, sending behavior early warning information to the intelligent community;
otherwise, ending.
The conditions for identifying and judging the corresponding behaviors are different, the cloud server firstly judges the type of the received behavior data (also can be the type of equipment) to call the corresponding identification model, for example, if the cloud server judges that certain behavior data is the falling behavior on the xx path of the community, the cloud server can recognize that the certain behavior data is the monitoring data of the community, and if the certain behavior data is the outdoor community, the cloud server calls the community behavior identification model to identify and judge the behavior, and judges whether the behavior meets the behavior identification conditions.
Here, the algorithms of the respective models for behavior calculation, behavior feature extraction, and recognition judgment are determined by the functions of the respective models, and the present embodiment is not limited to the recognition algorithm, feature extraction method, and the like of the respective models.
When the model finds that the current behavior accords with the preset behavior recognition condition (behavior characteristic), the model indicates that the resident possibly has behavior deviation, and early warning is timely sent out to remind the resident. Otherwise, the method does not give an early warning and enters the next behavior judgment.
As an optional implementation manner of the present application, optionally, the management center of the smart community receives the behavior early warning information, goes to an early warning point to perform health maintenance management on the user, and includes:
the management center of the intelligent community receives and analyzes the behavior early warning information to obtain user behavior information, user identity information and early warning point position information related to early warning;
the administrator carries out health care management on the user by going to the early warning point according to the user behavior information, the user identity information and the early warning point position information related to early warning, and the method comprises the following steps:
(1) If the information is community behavior early warning information, an administrator of the intelligent community management center goes to an early warning point of a community to perform health maintenance management on the user;
(2) If the information is household behavior early warning information, an administrator of the intelligent community management center requests an intelligent access control response to the community user when receiving the household behavior early warning information sent by the cloud service platform and going to the early warning community user according to the early warning information;
if no response of the intelligent access control of the community user is found, an authorization request is sent to an authorization management module of the cloud service platform;
the authorization management module receives the authorization request, performs identity authentication on an administrator and records a log, and authorizes to send a password after the authentication is passed;
after the intelligent access control obtains the password sent by the authorization management module, the intelligent access control automatically opens the door, and an administrator enters and carries out health care management on the community users.
After the early warning information is sent out, a background manager can see the identity information of the resident triggering the early warning and the information of the early warning behavior, can quickly locate the home position of the resident,
the community outdoor early warning can be performed, and the resident position can be quickly found according to early warning images and the like;
otherwise, the manager finds the house of the home user and requests to open the access control system, enter the resident door and enter the home to rescue the falling old people.
The access control system can generate a password for the user by adopting a dynamic password generation method after the manager goes to the gate for rescue.
The modules or steps of the invention described above may be implemented in a general-purpose computing device, they may be centralized in a single computing device, or distributed across a network of computing devices, or they may alternatively be implemented in program code executable by a computing device, such that they may be stored in a memory device and executed by a computing device, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
Example 3
Still further, another aspect of the present application provides a control system, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement one of the above-described health management methods when executing the executable instructions.
Embodiments of the present disclosure control a system that includes a processor and a memory for storing processor-executable instructions. Wherein the processor is configured to implement any of the foregoing smart communities for health management based on AI artificial intelligence when executing the executable instructions.
Here, it should be noted that the number of processors may be one or more. Meanwhile, in the control system of the embodiment of the present disclosure, an input device and an output device may be further included. The processor, the memory, the input device, and the output device may be connected by a bus, or may be connected by other means, which is not specifically limited herein.
The memory is a computer-readable storage medium that can be used to store software programs, computer-executable programs, and various modules, such as: a program or module corresponding to an intelligent community for performing health management based on AI artificial intelligence in an embodiment of the disclosure. The processor executes various functional applications and data processing of the control system by running software programs or modules stored in the memory.
The input device may be used to receive an input number or signal. Wherein the signal may be a key signal generated in connection with user settings of the device/terminal/server and function control. The output means may comprise a display device such as a display screen.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the technical improvement of the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. An intelligent community for health management based on AI artificial intelligence, which is characterized by comprising:
the home monitoring unit is used for acquiring home monitoring data A of the smart community user at home;
the community monitoring unit is used for acquiring community monitoring data B of the user moving in the intelligent community;
the clock module is used for setting the reporting frequency of the intelligent gateway message to the cloud service platform;
the intelligent gateway is used for regularly reporting the home monitoring data A and/or the community monitoring data B to a cloud service platform of the intelligent community according to the set reporting frequency;
and the cloud service platform is used for receiving the behavior monitoring data, carrying out cloud computing on the home monitoring data A and/or the community monitoring data B by utilizing a behavior identification model, and sending behavior early warning information and sending the behavior early warning information to the intelligent community when the behavior is found to be in accordance with a preset condition.
2. The intelligent community based on AI artificial intelligence for health management of claim 1, wherein the cloud service platform is provided with:
the household behavior recognition model is used for carrying out cloud computing on the household monitoring data A, and recognizing and obtaining household behavior early warning information meeting preset conditions;
the community behavior recognition model is used for carrying out cloud computing on the community monitoring data B, and recognizing and obtaining community behavior early warning information meeting preset conditions;
and the port is used for sending the behavior early warning information identified by the model to a management center of the intelligent community.
3. The health management method of claim 2, wherein the cloud service platform is further configured with:
the authorization management module is used for authorizing the manager of the intelligent community to send the password;
when receiving household behavior early warning information sent by a cloud service platform, an administrator of the intelligent community management center goes to an early-warning community user according to the early warning information and requests for intelligent access control of the community user;
if no response of the intelligent access control of the community user is found, an authorization request is sent to an authorization management module of the cloud service platform;
the authorization management module receives the authorization request, performs identity authentication on an administrator and records a log, and authorizes to send a password after the authentication is passed;
after the intelligent access control obtains the password sent by the authorization management module, the intelligent access control automatically opens the door, and an administrator enters and carries out health care management on the community users.
4. A method for health management implemented based on the intelligent community based on AI artificial intelligence as claimed in claim 3, comprising the steps of:
acquiring behavior monitoring data of users in the intelligent community;
according to the set reporting frequency, reporting the behavior monitoring data to a cloud service platform of the intelligent community at regular time;
the cloud service platform receives the behavior monitoring data, performs cloud computing on the behavior monitoring data by utilizing a behavior identification model, and sends behavior early warning information to an intelligent community when the behavior is found to accord with preset conditions;
and the management center of the intelligent community receives the behavior early warning information, and goes to an early warning point to perform health maintenance management on the user.
5. The method of claim 4, wherein obtaining behavior monitoring data of the smart community user comprises:
presetting behavior characteristics;
setting a behavior acquisition type according to the behavior characteristics;
acquiring home monitoring data A of a smart community user home through a home monitoring unit within the behavior acquisition type;
acquiring community monitoring data B of a user moving in an intelligent community through a community monitoring unit within the behavior acquisition type;
and respectively backing up and storing the home monitoring data A and the community monitoring data B by adopting a dynamic hard disk.
6. The method of claim 4, wherein the method of creating the behavior recognition model comprises:
collecting a behavior data sample;
based on a deep learning technology, taking the behavior data sample as input, and performing model training to obtain a corresponding behavior recognition model;
performing model test and correction on the behavior recognition model;
after the test passes and is corrected, working parameters are configured for the behavior recognition model;
and deploying the behavior recognition model on the cloud service platform, and distributing a port for the behavior recognition model.
7. The method of claim 4, wherein the step of periodically reporting the behavior monitoring data to the cloud service platform of the smart community according to the set reporting frequency comprises:
the intelligent gateway receives the behavior monitoring data and judges the type of acquisition equipment of the behavior monitoring data;
according to the type of the acquisition equipment, setting reporting frequency of the acquired data for the acquisition equipment;
and according to the set reporting frequency, reporting the behavior monitoring data acquired by the acquisition equipment to a cloud service platform of the intelligent community at regular time.
8. The method of claim 4, wherein the cloud service platform receives the behavior monitoring data, performs cloud computing on the behavior monitoring data by using a behavior recognition model, and when the behavior is found to meet a preset condition, sends behavior early warning information to an intelligent community, and comprises:
presetting behavior recognition conditions for each behavior recognition model;
the cloud service platform receives the behavior monitoring data and judges the data type of the behavior monitoring data;
calling the corresponding behavior recognition model according to the data type;
cloud computing is carried out on the behavior monitoring data by utilizing the behavior recognition model, and whether behaviors in the behavior monitoring data accord with behavior recognition conditions preset on the behavior recognition model or not is recognized and judged:
if yes, sending behavior early warning information to the intelligent community;
otherwise, ending.
9. The method of claim 4, wherein the intelligent community management center receives the behavior early warning information, and goes to an early warning point to perform health management on the user, and the method comprises the following steps:
the management center of the intelligent community receives and analyzes the behavior early warning information to obtain user behavior information, user identity information and early warning point position information related to early warning;
the administrator carries out health care management on the user by going to the early warning point according to the user behavior information, the user identity information and the early warning point position information related to early warning, and the method comprises the following steps:
(1) If the information is community behavior early warning information, an administrator of the intelligent community management center goes to an early warning point of a community to perform health maintenance management on the user;
(2) If the information is household behavior early warning information, an administrator of the intelligent community management center requests an intelligent access control response to the community user when receiving the household behavior early warning information sent by the cloud service platform and going to the early warning community user according to the early warning information;
if no response of the intelligent access control of the community user is found, an authorization request is sent to an authorization management module of the cloud service platform;
the authorization management module receives the authorization request, performs identity authentication on an administrator and records a log, and authorizes to send a password after the authentication is passed;
after the intelligent access control obtains the password sent by the authorization management module, the intelligent access control automatically opens the door, and an administrator enters and carries out health care management on the community users.
10. A control system, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement a method of health management of any of claims 4 to 9 when executing the executable instructions.
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