Smart community system based on big data co-construction and sharing

By introducing cameras, disease recording modules, emergency information sending modules and other modules into the smart community system, all-round safety monitoring and emergency response to the elderly are achieved, and the problem of insufficient service to the elderly is solved. The existing system has been solved and the lives of the elderly are improved Quality and safety assurance.

CN119398702APending Publication Date: 2025-02-07HUNAN SHUIQING MUHUA PROPERTY MANAGEMENT CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202411497165.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-25
Publication Date
2025-02-07

AI Technical Summary

Technical Problem

The existing smart community system fails to fully consider the safety and service needs of the elderly, especially the difficulties of using smart devices in the elderly, which lead to their daily activity trajectory and social needs not being effectively utilized.

Method used

A smart community system based on big data co-construction and sharing is designed, including cameras, disease recording modules, emergency information sending modules, emergency access modules and community service centers, and comprehensive safety monitoring and services for the elderly through multi-module linkage.

Benefits of technology

Real-time safety monitoring and emergency response to elderly people in the community have been achieved, the quality of life and safety guarantee of elderly people have been improved, and the elderly can receive timely rescue in an emergency situation.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119398702A_ABST
    Figure CN119398702A_ABST
Patent Text Reader

Abstract

The invention provides a smart community system based on big data co-construction and sharing, and relates to the technical field of communication. A camera is arranged at a preset position of a community to shoot behavior and posture information of the elderly; a disease recording module of the community management end records old people disease information; the emergency information sending module sends an alarm to family members when the elderly are in emergency, and the first-aid connection module sends a first-aid notification to the community service center; the community service center is in communication connection with all the modules, after camera information is received, whether the elderly are abnormal and in emergency situations or not is judged in combination with an abnormity judgment model and disease recording module information, then alarm and first-aid notification sending is controlled, and the abnormity judgment model is established according to a large number of sample data and cases. The intelligent community for comprehensively serving the old people is realized, the guarantee capability of the community on the safety of the old people is improved, and the risk that the old people cannot be timely rescued when accidents occur is reduced.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a smart community system based on co-construction and sharing of big data. Background Art

[0002] Smart community refers to a model that integrates various existing service resources in the community through the use of various intelligent technologies and methods to provide community residents with a variety of convenient services such as government affairs, business, entertainment, education, medical care, and mutual assistance in life. From the perspective of application, "smart community" should achieve the goal of "improving efficiency with smart government affairs, improving people's lives with smart livelihoods, creating smart life with smart homes, and improving community quality with smart communities".

[0003] Current smart communities tend to focus on internal data information in the community, mainly in security monitoring, property management, convenient services, etc. For example, intelligent property management platforms are used to realize functions such as fee collection and facility maintenance; online service platforms are used to provide convenient services such as shopping and housekeeping.

[0004] However, existing technologies often require residents to use smart devices to enjoy smart communities, but some elderly people do not know how to use smart devices. Therefore, existing technologies pay obviously insufficient attention to this special group of elderly people, and information such as the elderly’s daily activity trajectories and social needs has not been fully utilized, resulting in a lack of community smart services for the elderly. Summary of the invention

[0005] The present application provides a smart community system based on big data co-construction and sharing, which is used to achieve all-round safety monitoring and services for the elderly in the community when the smart communities in the prior art do not fully consider the elderly and the services are not comprehensive enough.

[0006] On the first aspect, the present application provides a smart community system based on big data co-construction and sharing, including: a camera, set at a preset position in the community, for capturing the behavior and posture information of the elderly; a disease recording module, set at the community management end, for recording the disease information of the elderly in the community who have registered in advance; an emergency information sending module, for sending alarm information to the corresponding receiving device through a preset family connection channel when an emergency occurs in the community; an emergency connection module, for sending emergency notification information to the community service center when an emergency occurs in the community, so that the community management personnel can take emergency measures; the community service center, respectively connected to the camera, The disease recording module, the emergency information sending module and the emergency connection module are communicatively connected, and are used to determine whether the elderly person has an abnormality after receiving the behavior information and the posture information collected by the camera, in combination with an abnormality judgment model. If there is an abnormality, it is determined whether the elderly person has an emergency situation in combination with the disease information of the elderly person in the disease recording module. If an emergency situation occurs, the emergency information sending module is controlled to send the alarm information to the receiving device of the elderly person's family, and the emergency connection module is controlled to send the emergency notification information to the community management personnel. The abnormality judgment model is established based on multiple normal behavior and posture sample data of the elderly and common abnormal situation cases.

[0007] By adopting the above technical solution, when an elderly person is found in an emergency in the community, an alarm and notification can be sent to the family members and community managers in time to buy precious rescue time for the elderly. This multi-module linkage method greatly improves the community's ability to protect the safety of the elderly and reduces the risk of not receiving timely rescue when an accident occurs.

[0008] In combination with some embodiments of the first aspect, in some embodiments, it also includes a face recording module, which is communicatively connected to the community service center, arranged at the access control of the building, and is used to record the face information of the elderly in the target building; an access control frequency recording module, which is communicatively connected to the face recording module, and the access control frequency recording module is arranged at the access control of the building, and is used to record the access control frequency of the target elderly according to the face information of the elderly in the face recording module; a user housing recording module is used to record the residential floor of the elderly; the community service center is also used to detect whether the access control frequency corresponding to the target elderly within a set time period is lower than a set threshold. If it is lower than the set threshold, the emergency information sending module is controlled to send a long-term absence reminder message according to the family connection channel corresponding to the target elderly, and at the same time determine the residential floor of the target elderly according to the user housing recording module, and control the emergency connection module to send door-to-door inspection information to the community management end.

[0009] By adopting the above-mentioned technical solutions, it is helpful to timely discover possible health problems or other abnormal conditions of some elderly people living alone, and provide them with more considerate care and attention.

[0010] In combination with some embodiments of the first aspect, in some embodiments, a data sharing processing module is further included, which is used to standardize the information collected by multiple terminals, and the multiple terminals refer to devices used to collect various information within the community.

[0011] The adoption of the above technical solutions will help improve the integration and utilization efficiency of information, and provide more comprehensive and accurate data support for the decision-making of community service centers.

[0012] In combination with some embodiments of the first aspect, in some embodiments, a data security protection module is also included, which is used to encrypt the personal sensitive information of the elderly and to determine the access rights of different users so that authorized set users can access the set elderly information.

[0013] By adopting the above technical solution, we can not only protect the privacy and security of the elderly, but also ensure that authorized users can access necessary information about the elderly within the legal scope.

[0014] In combination with some embodiments of the first aspect, in some embodiments, it also includes a logistics service unit for providing one-stop logistics services after receiving a user's logistics service request; and a housekeeping service unit for providing housekeeping services after receiving a user's housekeeping service request.

[0015] By adopting the above technical solutions, residents in the community can choose logistics services or housekeeping services according to their needs, which improves the convenience and comfort of life.

[0016] In combination with some embodiments of the first aspect, in some embodiments, an abnormality judgment module is also included, which is communicated with the camera and the community service center, and is used to judge the center of gravity coordinates of the elderly in the posture information. If the vertical distance between the center of gravity coordinates and the ground is less than a set distance threshold for more than a preset time, it is determined that an abnormality has occurred in the elderly.

[0017] By adopting the above technical solution, abnormal situations such as possible falls of the elderly can be discovered in time, further improving the system's ability to monitor abnormal situations of the elderly and providing an additional layer of protection for the safety of the elderly.

[0018] In combination with some embodiments of the first aspect, in some embodiments, it also includes a demand survey module, which is used to collect group demand information of the elderly in the community in a set manner; and an activity promotion module, which is communicated with the demand survey module and is used to promote activities through an activity promotion platform after the management personnel plan activities based on the group demand information.

[0019] By adopting the above technical solutions, not only the lives of the elderly are enriched, but also the cohesion and vitality of the community are enhanced. At the same time, in conjunction with other modules, a warm and harmonious community environment is created.

[0020] In combination with some embodiments of the first aspect, in some embodiments, a telemedicine module is also included, including a health detection device and a remote monitoring terminal. The health detection device is set in the elderly person's home for regular health monitoring of the elderly person; the remote monitoring terminal is communicated with the health detection device for remotely viewing the elderly person's health data.

[0021] By adopting the above technical solutions, the elderly can enjoy guaranteed medical testing services at home, discover health problems in time and take corresponding measures, and it is also convenient for the elderly’s family members to observe the elderly’s physical health status in time.

[0022] In combination with some embodiments of the first aspect, in some embodiments, it also includes a plurality of sensors, which are arranged in the room where the elderly live and are used to monitor the indoor environmental parameters in real time; an intelligent data collection module, which is used to collect data from the plurality of sensors, smoke alarms, emergency call buttons and smart bracelets worn by the elderly, the smoke alarm is used to monitor fire warning information, the emergency call button is used for the elderly to actively send out emergency help information, and the smart bracelet is used to collect the elderly's physiological parameters, activity parameters and location information; an intelligent analysis module, which is communicated with the intelligent data collection module and is used to analyze and judge the collected data. When it is judged that the indoor environmental parameters belong to abnormal environmental parameter changes or the help information sent by the emergency call button is received, the emergency information sending module is controlled to send an emergency alarm to a preset receiving device. When it is judged that there is an abnormality in the physiological parameters or activity parameters of the elderly, the emergency connection module is controlled to send emergency notification information to the community service center.

[0023] By adopting the above technical solution, once an abnormal situation is discovered, an emergency alarm can be sent or the emergency connection module can be notified in time, thereby improving the community's ability to protect the safety and health of the elderly.

[0024] In combination with some embodiments of the first aspect, in some embodiments, a community mutual assistance module is also included to establish a resident mutual assistance platform within the community.

[0025] The adoption of the above technical solutions will help promote communication and cooperation among community residents. When residents encounter emergencies or need help, they can respond quickly through the mutual aid platform so that users in need can receive assistance in a timely manner.

[0026] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. The system uses a camera to capture the behavior and posture information of the elderly, a disease recording module to record the disease information of the elderly, an emergency information sending module and an emergency connection module to send alarms and notifications in a timely manner, and a community service center uses an abnormal judgment model to analyze and judge. Therefore, the technical problems of the existing technology that the safety of the elderly in the community is difficult to monitor in real time and the emergency situation is difficult to respond quickly, thereby realizing all-round real-time monitoring of the safety of the elderly in the community. When an emergency occurs to the elderly, alarms and notifications can be sent to family members and community managers in a timely manner, thus achieving a smart community that fully cares for the elderly.

[0027] 2. Due to the adoption of the face recording module to record the facial information of the elderly, the access control frequency recording module to record the access control frequency of the elderly, the user housing recording module to record the floor where the elderly live, and the community service center for detection and control, the technical problem that it is difficult to timely discover the possible health problems or abnormal conditions of the elderly in the existing technology is effectively solved, and then the technical effect of providing more intimate care and attention to the elderly is achieved by monitoring the access control frequency of the elderly, sending prompt information in time when the elderly have not gone out for a long time, and notifying the community management personnel to visit the elderly is achieved.

[0028] 3. Due to the use of multiple sensors to monitor indoor environmental parameters, intelligent data collection modules to collect data, smoke alarms to monitor fire warning information, emergency call buttons for the elderly to actively ask for help, smart bracelets to collect information such as the elderly's physiological parameters, and intelligent analysis modules for analysis and judgment, the technical problem of the existing technology that it is difficult to conduct real-time monitoring and early warning of the elderly's living environment and health status has been effectively solved, thereby realizing comprehensive real-time monitoring of the elderly's living environment and health status. When an abnormal situation occurs, an emergency alarm can be sent in time or the emergency connection module can be notified, providing a strong technical effect of protecting the safety and health of the elderly. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 is a module connection diagram of an embodiment of the present application; Figure 2 This is another module connection diagram of an embodiment of the present application.

[0030] Description of reference numerals: 1. Camera; 2. Disease record module; 3. Emergency information sending module; 4. Emergency connection module; 5. Community service center; 6. Face recording module; 7. Access control times recording module; 8. User housing record module; 9. Data sharing and processing module; 10. Data security protection module; 11. Logistics service unit; 12. Housekeeping service unit; 13. Abnormal judgment module; 14. Demand survey module; 15. Activity promotion module; 16. Telemedicine module; 17. Health detection equipment; 18. Remote monitoring terminal; 19. Sensor; 20. Intelligent data collection module; 21. Intelligent analysis module; 22. Community mutual assistance module. DETAILED DESCRIPTION

[0031] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "the", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to and includes any or all possible combinations of one or more listed items.

[0032] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0033] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0034] This application provides a smart community system based on big data co-construction and sharing, such as Figure 1 As shown, Figure 1 It is a module connection diagram of an embodiment of the present application, including: Camera 1 is set at a preset location in the community to capture the behavior and posture information of the elderly; Disease recording module 2, which is set at the community management end and is used to record the disease information of the elderly in the community who have registered in advance; Emergency information sending module 3, used to send alarm information to the corresponding receiving device through the preset family connection channel when an emergency occurs in the community; The emergency connection module 4 is used for sending emergency notification information to the community service center 5 when an emergency occurs in the community, so that the community management personnel can take emergency measures; The community service center 5 is respectively connected to the camera 1, the disease recording module 2, the emergency information sending module 3 and the emergency connection module 4 for communication, and is used to determine whether the elderly person has an abnormality after receiving the behavior information and the posture information collected by the camera 1, in combination with the abnormality judgment model. If there is an abnormality, it is used to determine whether the elderly person has an emergency situation in combination with the disease information of the elderly person in the disease recording module 2. If the emergency situation occurs, the emergency information sending module 3 is controlled to send the alarm information to the receiving device of the elderly person's family, and the emergency connection module 4 is controlled to send the emergency notification information to the community management personnel. The abnormality judgment model is established based on multiple normal behavior and posture sample data of the elderly and common abnormal situation cases.

[0035] Specifically, the camera 1 can be set in a public area of ​​the community, such as a park, an activity room, or other places where the elderly often appear and move around, and the elderly's walking posture, social interaction, and other behavioral information can be captured through video images and sent to the community service center 5. When the elderly move into the community or the user has a disease attention need, they can go to the community service management department to register. The management personnel collect the disease history information provided by the elderly and their families through the disease recording module 2, record the chronic diseases, allergy history, surgical history, medication information, etc. suffered by the elderly, and continuously update the health status changes of the elderly in the subsequent community life. The emergency information sending module 3 is connected to the receiving devices such as mobile phones and tablet computers of the elderly's family members. Once an emergency is detected in the elderly, it can immediately and automatically send a message according to the set information sending channel to request emergency rescue or processing. The information sending channel includes the telephone information sending channel of the elderly's family members. The emergency connection module 4 will send the elderly information and the monitored emergency content to the staff terminal of the community service center 5. After receiving the information, the community staff can quickly rush to the location of the elderly and provide on-site assistance.

[0036] After receiving the behavior information and posture information collected by the camera 1, the community service center 5 will combine the face recognition technology to determine the elderly in the image or video. This can be achieved in the following way: collect a large number of facial image data of people of different age groups in advance, including samples of the elderly and non-elderly, covering different genders, skin colors, expressions, hair colors and lighting conditions. For the facial features of the elderly in the image or video, for the input image or video frame, first perform face detection to determine the position and size of the face. Perform feature extraction on the detected face to obtain facial feature vectors, such as wrinkles, white hair, etc. The extracted feature vectors are compared with the pre-stored feature templates of the elderly and non-elderly, and based on the comparison results, determine whether the person in the image or video is an elderly. A threshold can be set, and when the similarity exceeds the threshold, it is judged as an elderly person; otherwise, it is judged as a non-elderly person.

[0037] Then, by using image recognition technology to identify and analyze objects, actions, etc. in the image or video, the elderly's walking, standing, sitting and other actions, as well as changes in body posture, can be identified, and then combined with the abnormal judgment model to determine whether the elderly are abnormal. This abnormal judgment model is established based on multiple normal behavior and posture sample data of the elderly and common abnormal situation cases. For example, by collecting a large number of data such as the walking speed, step frequency, body tilt angle, etc. of the elderly in a normal state, a reference range of normal behavior is established. When the elderly behavior information and posture information collected by the camera 1 deviate greatly from this reference range, it may be judged as abnormal. For example, if an elderly person usually walks at a relatively stable speed, but suddenly becomes slow or even stagnant, or the body posture shows obvious tilt, shaking, etc., it may trigger an abnormal judgment. If it is judged that the elderly person is abnormal, the community service center 5 will further combine the elderly disease information in the disease recording module 2 to determine whether the elderly person has an emergency. For example, if an elderly person suffers from heart disease, and the abnormal judgment finds that the elderly person has abnormal behaviors and postures related to heart attacks such as falling to the ground and twitching, then the community service center 5 will determine that the elderly person may have an emergency. Once it is determined that the elderly are in an emergency, the community service center 5 will play its control role. On the one hand, it will control the emergency information sending module 3 to send an alarm message to the receiving device of the elderly's family members. The emergency information sending module 3 quickly notifies the elderly's emergency to the family members through the preset family connection channels, such as text messages, mobile phone application push, etc. In this way, the family members can understand the elderly's condition at the first time and take corresponding actions. On the other hand, the community service center 5 will also control the emergency connection module 4 to send emergency notification information to the community management personnel. After receiving the notification, the community management personnel can quickly organize emergency personnel and equipment to go to the location of the elderly and take emergency measures. For example, the community management personnel can carry equipment such as first aid kits and stretchers to carry out preliminary first aid treatment for the elderly and contact professional medical emergency agencies in time.

[0038] In this way, a smart community with all-round monitoring and timely response to the elderly in the community is realized, and quick action is taken through the emergency information sending module 3 and the emergency connection module 4, providing strong protection for the life safety of the elderly. At the same time, this smart community system also provides convenient services for community management and family members, improving the overall safety and quality of life of the community.

[0039] For ease of understanding, the following is a further module description of the system provided by this implementation in combination with the above content. Figure 2 , Figure 2 This is another module connection diagram of an embodiment of the present application.

[0040] exist Figure 2In the invention, a smart community system based on big data co-construction and sharing includes a face recording module 6, which is connected to the community service center 5 and is set at the building access control, and is used to record the face information of the elderly in the target building; a door-entry and door-exit times recording module 7, which is connected to the face recording module 6 and is set at the building access control, and is used to record the door-entry and door-exit times of the target elderly according to the face information of the elderly in the face recording module 6; a user housing recording module 8, which is used to record the floor where the elderly live; the community service center 5 is also used to detect whether the door-entry and door-exit times corresponding to the target elderly within a set time period are lower than a set threshold. If lower than the set threshold, the emergency information sending module 3 is controlled to send a long-term absence reminder message according to the family connection channel corresponding to the target elderly, and at the same time, the residential floor of the target elderly is determined according to the user housing recording module 8, and the emergency connection module 4 is controlled to send a door-to-door inspection information to the community management end. Specifically, the face recording module 6 uses advanced face recognition technology to record the face information of the elderly in the target building. When the elderly pass through the building access control, the camera 1 of the face recording module 6 will quickly capture the facial features of the elderly and match them with the registered elderly information through the image recognition algorithm. If the match is successful, the identity information of the elderly will be recorded. The access control frequency recording module 7 counts the access control frequency of the target elderly according to the facial information of the elderly recorded in the face recording module 6. Whenever the elderly pass through the access control, the access control frequency recording module 7 will identify the identity of the elderly and accumulate the number of accesses in the database. In this way, the activities of the elderly can be grasped in real time. When the elderly move in, their living floor information is registered and stored. In this way, when it is necessary to understand the living location of the elderly, relevant information can be quickly queried. The community service center 5 receives data information from them, and the community service center 5 will detect whether the access control frequency corresponding to the target elderly within the set time is lower than the set threshold. For example, a week is set as the detection time, and the threshold is set to 2 times. If the number of access control times of a target elderly is less than 2 times within this week, the community service center 5 will determine that the elderly may have an abnormal situation. Once it is found that the number of times the target elderly person has been accessed by the access control system is lower than the set threshold, the community service center 5 will take a series of measures. First, the emergency information sending module 3 is controlled to send a long-term absence reminder message according to the family connection channel corresponding to the target elderly person. The emergency information sending module 3 can send the reminder message to the elderly person's family members through text messages, mobile phone application push, etc. In this way, the family members can understand the elderly person's situation in a timely manner and pay attention to the elderly person's health. For example, when the community service center 5 determines that an elderly person has gone out 0 times in a week, it will immediately control the emergency information sending module 3 to send text messages to the elderly person's children, informing them that the elderly person has not been out for a long time and reminding them to pay attention to the elderly person's physical condition.At the same time, the community service center 5 will also determine the residential floor of the target elderly according to the user housing record module 8, and control the emergency connection module 4 to send the door-to-door inspection information to the community management terminal. After receiving the information, the community management personnel can quickly go to the elderly's residence to check. For example, according to the residential floor information prompted by the system, the community staff will come to the door of the elderly, knock on the door to inquire about the elderly's situation, or contact a medical institution for a door-to-door inspection to ensure the safety and health of the elderly.

[0041] Through this multi-module collaborative working approach, the smart community can promptly detect possible problems that the elderly may have and take corresponding measures to provide them with more considerate services and protection.

[0042] In some embodiments, a smart community system based on big data co-construction and sharing also includes a data sharing processing module 9, which is used to standardize the information collected by multiple terminals, and the multiple terminals refer to devices used to collect various information in the community. Different terminals may use different data formats, transmission protocols and storage methods, which brings difficulties to the integration and analysis of information. The data sharing processing module 9 adopts data format conversion technology, which can identify the data formats generated by different terminals and convert them into a unified standard format. In the process of information collection, due to various reasons, there may be noise data, erroneous data or duplicate data. The data sharing processing module 9 will clean these data, remove unnecessary information, and improve the quality of the data. In addition, in the process of information transmission and storage, in order to improve efficiency and save space, the data sharing processing module 9 can encode and compress the data to reduce the storage space occupation and the demand for transmission bandwidth. In this way, community managers, service providers and residents can easily access and use this information to realize information sharing and collaborative work. At the same time, with the continuous development of technology, new terminal devices may be added to the smart community system. The standardized processing function of the data sharing processing module 9 can ensure that new devices can be seamlessly connected with the existing system to achieve continuous expansion and upgrading of the system.

[0043] In some embodiments, a smart community system based on big data co-construction and sharing also includes a data security protection module 10, which is used to encrypt the elderly's personal sensitive information and to determine the access rights of different users so that the authorized set users can access the set elderly information. Specifically, the data security protection module 10 uses an advanced encryption algorithm to encrypt the elderly's personal sensitive information, which may include name, age, ID number, health status, home address, etc. During data storage and transmission, these information are encrypted and difficult to be cracked and read even if they are illegally obtained. For example, when the elderly's health data is transmitted from the smart medical device to the community service center 5, the data security protection module 10 will automatically encrypt these data. During the transmission process, the data exists in the form of ciphertext, and only the recipient with the correct decryption key (such as the community service center 5) can decrypt it into readable information, which can effectively prevent the data from being stolen or tampered with by hackers during transmission.

[0044] The data security protection module 10 also achieves refined management of the elderly's information by determining the access rights of different users. Specifically, it adopts technical means such as role-based access control and attribute-based access control. Role-based access control divides users into different roles, each of which has specific permissions. For example, community doctors may be given the authority to view the elderly's health information, while community volunteers may only be allowed to view the elderly's basic contact information so that they can contact them when providing services. The data security protection module 10 will assign corresponding permissions according to the user's role to ensure that the user can only access the information they are authorized to. Attribute-based access control is more flexible, and it determines access rights based on the user's attributes, the attributes of resources, and the attributes of the environment. For example, when a community manager needs to view the elderly's home address in an emergency for rescue, the data security protection module 10 can temporarily grant him the authority to view the elderly's home address based on the attributes of the emergency and the identity attributes of the manager. Once the emergency is lifted, the authority is automatically revoked.

[0045] This not only protects the privacy and security of the elderly, but also avoids the abuse and misuse of information, and enhances the security and reliability of the smart community system.

[0046] In some embodiments, a smart community system based on big data co-construction and sharing also includes a logistics service unit 11, which is used to provide one-stop logistics services after receiving the user's logistics service request; a housekeeping service unit 12, which is used to provide housekeeping services after receiving the user's housekeeping service request. Specifically, when a user submits a logistics service request through a mobile phone application, a community service platform or an intelligent terminal device, the community service center 5 receives these requests and transmits them to the corresponding service unit, and the staff of the corresponding unit can perform corresponding services. For example, some elderly people living alone do not know how to use smart phones to pick up express delivery, or are physically unwell and cannot take heavy objects, then their family members can remotely apply for door-to-door delivery requests on the mobile terminal, and the logistics service unit 11 will respond quickly and arrange staff to pick up items at home. Whether it is an express parcel in the community or an item sent from outside, it can ensure safe and timely collection. During the transportation process, advanced logistics tracking technology is used to allow users to understand the location and status of items at any time. When the items arrive at the community, the staff will deliver the items directly to the elderly's doorstep or a designated location according to the user's requirements, providing great convenience for the elderly. Similarly, the housekeeping service unit 12 also plays an important role. When a user submits a housekeeping service request through various channels, the community service center 5 will forward the request to the housekeeping service unit 12. For elderly people with special needs, such as regular home cleaning and daily care, the housekeeping service unit 12 will dispatch professional housekeeping service personnel to provide door-to-door services. Through the synergy of the logistics service unit 11 and the housekeeping service unit 12, the smart community system provides residents, especially the elderly, with a full range of service guarantees. It not only meets the daily needs of residents and improves their quality of life, but also enhances the cohesion of the community and the happiness of residents.

[0047] In some embodiments, a smart community system based on big data co-construction and sharing also includes an abnormality judgment module 13, which is connected to the camera 1 and the community service center 5 for judging the center of gravity coordinates of the elderly in the posture information. If the vertical distance between the center of gravity coordinates and the ground is less than the set distance threshold for more than a preset time, it is determined that the elderly is abnormal. Specifically, when the camera 1 captures the behavior and posture of the elderly, the image information will be transmitted to the abnormality judgment module 13. The image analysis algorithm in the abnormality judgment module 13 will process the image, identify the body contour of the elderly, and calculate the center of gravity position of the elderly. For example, an edge detection algorithm based on pixel grayscale value can be used to accurately identify the edge of the elderly's body, and then the center of gravity coordinates are determined by calculating the mass distribution of each part of the body. At the same time, the ground features in the image are identified and located to determine the ground position closest to the feet of the elderly's body. In order to accurately calculate the vertical distance between the center of gravity coordinates and the ground, the abnormality judgment module 13 uses a variety of distance calculation methods. A commonly used method is the Euclidean distance calculation method. According to the coordinates of the center of gravity coordinates and the coordinates of the ground reference point, the distance between the two is calculated using the Euclidean distance formula. For example, assuming that the coordinates of the center of gravity are (x1, y1, z1) and the coordinates of the reference point on the ground are (x2, y2, z2), the vertical distance between the center of gravity and the ground can be calculated by the following formula: d = sqrt ((x1-x2)^2 + (y1-y2)^2+ (z1-z2)^2). The preset distance threshold is an important basis for judging whether the elderly are in an abnormal state. The abnormal judgment module 13 sets a reasonable distance threshold range based on a large amount of experimental data and practical experience. This threshold range can be adjusted according to factors such as the physical characteristics and activity environment of the elderly. For example, for elderly people with shorter bodies, the distance threshold can be appropriately lowered; for environments with larger activity space and uneven ground, the distance threshold range can be appropriately expanded. At the same time, the abnormal judgment module 13 can also automatically adjust the distance threshold according to the historical behavior data and abnormal conditions of the elderly through a machine learning algorithm to improve the accuracy of the judgment.

[0048] If the vertical distance between the center of gravity and the ground is less than the set distance threshold, it means that the elderly person's body posture may be abnormal, such as falling, squatting for too long, etc. Once it is determined that the elderly person is in an abnormal state, the abnormal judgment module 13 will immediately send an early warning message to the community service center 5. After receiving the early warning message, the community service center 5 will take corresponding rescue measures. For example, the emergency information sending module 3 is controlled to send an alarm message to the receiving device of the elderly's family members so that the family members can understand the elderly's situation in time; at the same time, the emergency connection module 4 is controlled to send an emergency notification message to the community management personnel so that the community management personnel can quickly rush to the elderly's home to provide necessary help and rescue. In this way, the functions of real-time monitoring of the elderly's status, accurate judgment of abnormal situations, and timely early warning and rescue are realized, providing a strong guarantee for the safety of the elderly in the smart community.

[0049] In some embodiments, a smart community system based on big data co-construction and sharing also includes a demand survey module 14, which is used to collect group demand information of the elderly in the community through a setting method; an activity promotion module 15, which is connected to the demand survey module 14 in communication, and is used to promote activities through an activity promotion platform after the manager plans an activity based on the group demand information. Specifically, the setting method includes questionnaire surveys and interview surveys, etc. The questionnaire survey can be specifically targeted at the elderly in the community, and the content covers aspects such as life needs, entertainment needs, and health needs. Questionnaires can be distributed in two ways, online and offline. Online, you can use the official website of the community, WeChat public accounts and other platforms, and offline, you can distribute paper questionnaires in places such as community activity centers and senior apartments. After the questionnaires are collected, the data is statistically analyzed to understand the main needs and concerns of the elderly. The main function of the activity promotion module is to promote activities through the activity promotion platform after the manager plans activities based on the group demand information, so as to improve the awareness and participation of the activities, which includes publishing activity notifications, activity details, registration methods and other information on the official website of the community and WeChat public accounts. It also includes displaying activity posters on community bulletin boards and publicity boards or notifying in the form of dynamic videos on publicity display screens so that the elderly can see activity information in their daily lives. It also includes organizing community volunteers to go deep into the homes of the elderly, community activity centers and other places to promote activities. Through scientific and reasonable demand surveys and effective activity promotion, more intimate and personalized services and activities can be provided to the elderly in the community, improving their quality of life and sense of happiness.

[0050] In some embodiments, a smart community system based on big data co-construction and sharing also includes a telemedicine module 16, including a health detection device 17 and a remote monitoring terminal 18. The health detection device 17 is set in the elderly's home for regular health monitoring of the elderly; the remote monitoring terminal 18 is connected to the health detection device 17 for remote viewing of the elderly's health data. Specifically, the health detection device 17 uses advanced sensor technology to accurately collect the elderly's physiological index data. For example, blood pressure is measured by a blood pressure sensor, blood sugar level is measured by a blood sugar detector, and heart rate sensor monitors heart rate. These devices usually have the characteristics of simple operation, accurate measurement, and fast speed, which is convenient for the elderly to use at home. The collected health data is directly transmitted to the remote monitoring terminal 18 through wireless communication technology, and stored in a local database or cloud server, which can facilitate medical staff or family members to query historical data at any time and understand the health change trend of the elderly. The remote monitoring terminal 18 receives health data from the health detection device through the network and displays it in an intuitive chart form, which is convenient for medical staff or family members to quickly understand the health status of the elderly. In this way, even if the elderly's family members are not at home for a long time, they can also conveniently understand the physical condition of the elderly.

[0051] In some embodiments, a smart community system based on big data co-construction and sharing also includes a plurality of sensors 19, which are arranged in the room where the elderly live, and are used to monitor indoor environmental parameters in real time; an intelligent data collection module 20, which is used to collect data from a plurality of sensors 19, smoke alarms, emergency call buttons and smart bracelets worn by the elderly, wherein the smoke alarm is used to monitor fire warning information, the emergency call button is used for the elderly to actively send out emergency help information, and the smart bracelet is used to collect the elderly's physiological parameters, activity parameters and location information; an intelligent analysis module 21, which is communicatively connected to the intelligent data collection module 20, and is used to analyze and judge the collected data, and when it is judged that the indoor environmental parameters belong to abnormal environmental parameter changes or when the help information sent by the emergency call button is received, the emergency information sending module 3 is controlled to send an emergency alarm to a preset receiving device, and when it is judged that there is an abnormality in the physiological parameters or activity parameters of the elderly, the emergency connection module 4 is controlled to send emergency notification information to the community service center 5.

[0052] In some embodiments, a smart community system based on big data co-construction and sharing also includes a community mutual assistance module 22, which is used to establish a resident mutual assistance platform within the community. Through the resident mutual assistance platform, residents can publish their own needs, such as helping to carry heavy objects, taking care of pets, temporarily looking after children, etc., and can also respond to the needs of other residents and provide corresponding help. In this way, the power of community residents can be fully utilized, resource sharing, mutual assistance, and the cohesion of the community and the sense of belonging of residents can be enhanced.

[0053] The smart community system based on big data co-construction and sharing of this embodiment includes: camera 1, disease recording module 2, emergency information sending module 3, emergency connection module 4, community service center 5, face recording module 6, access control times recording module 7, user housing recording module 8, data sharing processing module 9, data security protection module 10, logistics service unit 11, housekeeping service unit 12, abnormality judgment module 13, demand survey module 14, activity promotion module 15, telemedicine module 16, health detection equipment 17, remote monitoring terminal 18, sensor 19, intelligent data collection module 20, intelligent analysis module 21, community mutual assistance module 22.

[0054] Camera 1 is set at a preset location in the community to capture the behavior and posture information of the elderly; Disease recording module 2, which is set at the community management end and is used to record the disease information of the elderly in the community who have registered in advance; Emergency information sending module 3, used to send alarm information to the corresponding receiving device through the preset family connection channel when an emergency occurs in the community; The emergency connection module 4 is used for sending emergency notification information to the community service center 5 when an emergency occurs in the community, so that the community management personnel can take emergency measures; The community service center 5 is respectively connected to the camera 1, the disease recording module 2, the emergency information sending module 3 and the emergency connection module 4 for communication, and is used to determine whether the elderly person has an abnormality in combination with the abnormality judgment model after receiving the behavior information and the posture information collected by the camera 1. If there is an abnormality, it is combined with the disease information of the elderly person in the disease recording module 2 to determine whether the elderly person has an emergency situation. If the emergency situation occurs, the emergency information sending module 3 is controlled to send the alarm information to the receiving device of the elderly person's family, and the emergency connection module 4 is controlled to send the emergency notification information to the community management personnel. The abnormality judgment model is established based on a plurality of normal behavior and posture sample data of the elderly and common abnormal situation cases; The face recording module 6 is connected to the community service center 5 and is set at the building access control point to record the face information of the elderly in the target building; The access control frequency recording module 7 is in communication connection with the face recording module 6. The access control frequency recording module 7 is arranged at the access control of the building and is used to record the access control frequency of the target elderly person according to the elderly person's face information in the face recording module 6; User housing record module 8, used to record the living floor of the elderly; The community service center 5 is also used to detect whether the number of access control times corresponding to the target elderly person within a set time period is lower than a set threshold. If it is lower than the set threshold, the emergency information sending module 3 is controlled to send a long-term absence reminder message according to the family connection channel corresponding to the target elderly person, and at the same time, the residential floor of the target elderly person is determined according to the user housing record module 8, and the emergency connection module 4 is controlled to send a door-to-door inspection message to the community management end; The data sharing processing module 9 is used to standardize the information collected by multiple terminals, where the multiple terminals refer to devices used to collect various information within the community; The data security protection module 10 is used to encrypt the elderly's personal sensitive information and to determine the access rights of different users so that the authorized set users can access the set elderly information; The logistics service unit 11 is used to provide one-stop logistics service after receiving the user's logistics service request; The housekeeping service unit 12 is used to provide housekeeping services after receiving a housekeeping service request from a user; The abnormality judgment module 13 is connected to the camera 1 and the community service center 5 for judging the center of gravity coordinates of the elderly in the posture information. If the vertical distance between the center of gravity coordinates and the ground is less than a set distance threshold for more than a preset time, it is determined that the elderly is abnormal. The demand survey module 14 is used to collect group demand information of the elderly in the community through a set method; The activity promotion module 15 is in communication connection with the demand investigation module 14 and is used to promote the activity through the activity promotion platform after the management personnel plan the activity according to the group demand information; The telemedicine module 16 includes a health detection device 17 and a remote monitoring terminal 18. The health detection device 17 is set at the elderly's home and is used to perform regular health monitoring on the elderly. The remote monitoring terminal 18 is connected to the health detection device 17 for remotely viewing the elderly's health data. A variety of sensors 19 are installed in the room where the elderly live to monitor indoor environmental parameters in real time; The intelligent data collection module 20 is used to collect data from the sensors 19, smoke alarms, emergency call buttons and smart bracelets worn by the elderly. The smoke alarms are used to monitor fire warning information, the emergency call buttons are used for the elderly to actively send out emergency help information, and the smart bracelets are used to collect physiological parameters, activity parameters and location information of the elderly. The intelligent analysis module 21 is connected to the intelligent data collection module 20 for analyzing and judging the collected data. When it is judged that the indoor environmental parameters are abnormal environmental parameter changes or the help information sent by the emergency call button is received, the emergency information sending module 3 is controlled to send an emergency alarm to a preset receiving device. When it is judged that the physiological parameters or activity parameters of the elderly are abnormal, the emergency connection module 4 is controlled to send emergency notification information to the community service center 5. The community mutual assistance module 22 is used to establish a mutual assistance platform for residents within the community.

[0055] As mentioned above, smart communities can quickly send alarms and notifications to family members and community managers when the elderly are in danger, thereby improving the level of community elderly care services and the safety of the elderly's lives.

Claims

1. A smart community system based on big data co-construction and sharing, characterized in that: include: Cameras are set up at preset locations in the community to capture the behavior and posture information of the elderly; The disease record module is set up at the community management end to record the disease information of the elderly in the community who have registered in advance; Emergency information sending module, used to send alarm information to the corresponding receiving device through the preset family connection channel when an emergency occurs in the community; The emergency connection module is used to send emergency notification information to the community service center when an emergency occurs in the community, so that the community management staff can take emergency measures; The community service center is respectively communicated with the camera, the disease recording module, the emergency information sending module and the emergency connection module, and is used to determine whether the elderly have an abnormality in combination with an abnormality judgment model after receiving the behavior information and the posture information collected by the camera. If there is an abnormality, it is combined with the disease information of the elderly in the disease recording module to determine whether the elderly have an emergency situation. If the emergency situation occurs, the emergency information sending module is controlled to send the alarm information to the receiving device of the elderly's family members, and the emergency connection module is controlled to send the emergency notification information to the community management personnel. The abnormality judgment model is established based on multiple normal behavior and posture sample data of the elderly and common abnormal situation cases.

2. According to claim 1, a smart community system based on big data co-construction and sharing is characterized in that: It also includes a face recording module, which is connected to the community service center and is set at the building access control point to record the face information of the elderly in the target building; An access control frequency recording module is connected to the face recording module in communication, and the access control frequency recording module is arranged at the access control of the building, and is used to record the access control frequency of the target elderly according to the elderly face information in the face recording module; User housing record module, used to record the floor where the elderly live; The community service center is also used to detect whether the number of access control times corresponding to the target elderly person within a set time period is lower than a set threshold. If it is lower than the set threshold, the emergency information sending module is controlled to send a long-term absence reminder message according to the family connection channel corresponding to the target elderly person. At the same time, the residential floor of the target elderly person is determined according to the user housing record module, and the emergency connection module is controlled to send door-to-door inspection information to the community management end.

3. According to claim 1, a smart community system based on big data co-construction and sharing is characterized in that: It also includes a data sharing processing module for standardizing the information collected by multiple terminals, where the multiple terminals refer to devices for collecting various information within the community.

4. According to claim 3, a smart community system based on big data co-construction and sharing is characterized in that: It also includes a data security protection module, which is used to encrypt the elderly's personal sensitive information and to determine the access rights of different users so that authorized set users can access the set information of the elderly.

5. According to claim 1, a smart community system based on big data co-construction and sharing is characterized in that: It also includes a logistics service unit, which is used to provide one-stop logistics services after receiving a user's logistics service request; The housekeeping service unit is used to provide housekeeping service after receiving the housekeeping service request from the user.

6. According to claim 1, a smart community system based on big data co-construction and sharing is characterized in that: It also includes an abnormality judgment module, which is communicated with the camera and the community service center and is used to judge the center of gravity coordinates of the elderly in the posture information. If the vertical distance between the center of gravity coordinates and the ground is less than a set distance threshold for more than a preset time, it is determined that an abnormality has occurred to the elderly.

7. The smart community system based on big data co-construction and sharing according to claim 1 is characterized in that: It also includes a demand survey module, which is used to collect group demand information of the elderly in the community through a set method; The activity promotion module is in communication connection with the demand investigation module and is used to promote the activity through the activity promotion platform after the management personnel plan the activity according to the group demand information.

8. The smart community system based on big data co-construction and sharing according to claim 1 is characterized in that: It also includes a telemedicine module, including a health detection device and a remote monitoring terminal. The health detection device is set up in the elderly's home and is used to perform regular health monitoring of the elderly; the remote monitoring terminal is communicated with the health detection device and is used to remotely view the elderly's health data.

9. The smart community system based on big data co-construction and sharing according to claim 1 is characterized in that: It also includes a variety of sensors, which are installed in the rooms where the elderly live to monitor indoor environmental parameters in real time; An intelligent data collection module is used to collect data from a variety of sensors, smoke alarms, emergency call buttons and smart bracelets worn by the elderly. The smoke alarm is used to monitor fire warning information, the emergency call button is used for the elderly to actively send out emergency help information, and the smart bracelet is used to collect physiological parameters, activity parameters and location information of the elderly; The intelligent analysis module is communicatively connected with the intelligent data collection module, and is used to analyze and judge the collected data. When it is judged that the indoor environmental parameters belong to abnormal environmental parameter changes or a help message sent by the emergency call button is received, the emergency information sending module is controlled to send an emergency alarm to a preset receiving device. When it is judged that the physiological parameters or activity parameters of the elderly are abnormal, the emergency connection module is controlled to send emergency notification information to the community service center.

10. The smart community system based on big data co-construction and sharing according to claim 1 is characterized in that: It also includes a community mutual aid module, which is used to establish a mutual aid platform for residents within the community.