CN114373526A - Wisdom endowment health system based on thing networking - Google Patents
Wisdom endowment health system based on thing networking Download PDFInfo
- Publication number
- CN114373526A CN114373526A CN202111634659.9A CN202111634659A CN114373526A CN 114373526 A CN114373526 A CN 114373526A CN 202111634659 A CN202111634659 A CN 202111634659A CN 114373526 A CN114373526 A CN 114373526A
- Authority
- CN
- China
- Prior art keywords
- module
- service
- internet
- information
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y10/00—Economic sectors
- G16Y10/60—Healthcare; Welfare
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Biomedical Technology (AREA)
- Bioethics (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Computing Systems (AREA)
- Chemical & Material Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Medicinal Chemistry (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses an intelligent endowment health system based on the Internet of things, which comprises a target object module, a perception control module, a service providing module and a user module, wherein the target object module faces to an Internet of things device and provides an access port for the Internet of things device; the perception control module is connected with the target object module and used for acquiring the information of the internet of things equipment connected with the target object module; the service providing module is connected with the perception control module and used for obtaining a perception result and providing endowment service information according to the perception result; and the user module acquires the endowment service information and provides service for service objects and service organizations. The invention manages all the modules of the system in a unified way, breaks through the information isolated island, restores all the paths of the data request, realizes the integration from the whole to the surface and then to the point, and constructs a comprehensive endowment service system. The invention is widely applied to the field of old-age health care.
Description
Technical Field
The invention relates to the field of endowment health, in particular to an intelligent endowment health system based on the Internet of things.
Background
Along with the progress of science and technology, some intelligent internet of things equipment get into the life, and novel endowment mode is increasingly popular, and for the empty nest old man, some healthy daily monitoring and lonely problems have been solved for intelligent TV set-top box, intelligent wearing equipment, blood pressure blood sugar all-in-one etc.. There are many drawbacks and deficiencies with these solutions. The Internet of things intelligent healthy endowment system on the market at present has high complexity of equipment access, low reusability and low timeliness of data acquisition and processing, and cannot reach some timely early warning scenes.
The existing Internet of things endowment system access Internet of things equipment is butted at an application layer and can only be accessed to an application layer system interface built by an Internet of things equipment manufacturer, the data of the bottom Internet of things equipment needs to be transferred in the middle, the data acquisition time loss is high, and the capacity of directly accessing mass equipment is not strong for the adaptation of heterogeneous and multi-protocol bottom Internet of things equipment. Secondly, after the data of the internet of things equipment is acquired, the internet of things endowment system cannot provide flexible and convenient business logic processing for the data at present, health index monitoring and behavior analysis with complex logic and high business complexity need customized development and processing, the function expandability is not strong, and the change and the complexity of the business cannot be well supported. Moreover, key health data obtained by intelligent wearable equipment of some disabled old people and critically ill old people cannot be processed in real time, early warning is carried out in time, and data processing delay is high.
Disclosure of Invention
In view of at least one of the above technical problems, the present invention provides an intelligent old people health system based on internet of things, including:
the target object module faces the Internet of things equipment, provides an access port for the Internet of things equipment and is connected with the Internet of things equipment;
the perception control module is connected with the target object module and used for acquiring the information of the equipment connected with the target object module and generating a perception result according to the information of the equipment;
the service providing module is connected with the perception control module and used for acquiring the perception result and obtaining endowment service information according to the perception result;
and the user module faces to a service object and a service mechanism, is connected with the service providing module and is used for acquiring the endowment service information and providing services for the service object and the service mechanism according to the endowment service information.
Further, the user module is further configured to obtain user feedback, and upload the user feedback to the service providing module;
the service providing module is also used for receiving the user feedback, processing the user feedback and uploading a processing result to the perception control module;
the perception control module is also used for receiving the processing result, analyzing the processing result to obtain a control instruction, and uploading the control instruction to the target object module;
and the target object module is also used for receiving the control instruction, sending the control instruction to the Internet of things equipment and intelligently controlling the Internet of things equipment.
Further, wisdom endowment health system based on thing networking still includes:
and the resource exchange module is connected with the target object module, the perception control module, the service providing module and the user module and is used for sharing resources among the target object module, the perception control module, the service providing module and the user module.
Further, wisdom endowment health system based on thing networking still includes:
and the operation management and control module is connected with the target object module, the perception control module, the service providing module and the user module and is used for carrying out service supervision on the target object module, the perception control module, the service providing module and the user module.
Further, the target object module comprises an edge computing layer, and the edge computing layer acquires and processes data of the accessed internet of things equipment through a distributed computing gateway.
Furthermore, the perception control module comprises a data center layer, and the data center layer collects the data acquired and processed by the edge computing layer, performs data storage, intelligent analysis and data mining, and provides data service resources.
Further, the service providing module comprises an application management layer, and the application management layer establishes an application management system according to the data service resources provided by the data center layer.
Furthermore, the user module includes a user service layer, and the user service layer is configured on the mobile terminal APP application, the PC terminal software program and other service platforms based on an application management system established by the service providing module.
Further, the service providing module adopts a rule engine to analyze and process the obtained sensing result to obtain a target user, and provides the endowment service information for the target user.
Further, the endowment service information includes: maintenance early warning information, health archive information, online diagnosis and treatment information, medical care cooperation information, online medicine finding information and health maintenance insurance information.
The invention has the beneficial effects that: the intelligent old-age care health system based on the Internet of things supports access of massive Internet of things equipment, acquires information collected by the Internet of things equipment, processes the Internet of things information to obtain a sensing result, provides corresponding service for a user side according to the sensing result, can respond and process in time, solves the problems of distance and timeliness, and deepens data resource application.
Drawings
FIG. 1 is a diagram of an embodiment of an intelligent elderly people health system;
fig. 2 is an edge computing gateway diagram in an embodiment.
Detailed Description
In an embodiment of the present invention, an intelligent old-age health system based on the internet of things as shown in fig. 1 includes:
a target object module; the target object module plane type Internet of things device provides access capability for the Internet of things device, supports access of more than 10 main stream protocols such as MQTT, HTTP, COAP and the like, provides edge deployment of gateway middleware, and supports protocol conversion and nearby access.
A perception control module; the perception control module is connected with the target object module and used for acquiring the information of the equipment connected with the target object module and generating a perception result according to the information of the equipment. The external perception capability is provided, data acquisition is carried out to form a data bottom bin, and the main functions comprise physical sign perception, behavior perception, equipment perception, state perception and data perception.
A service providing module; the service providing module is connected with the perception control module and used for obtaining perception results, endowment service information is obtained according to the perception results, namely data of the internet of things equipment, are obtained from the perception control module through conventional extraction and flink and storm real-time flow extraction modes, information fusion is carried out, an internet of things intelligent endowment health data center platform is established, and the endowment service information is provided to the outside through micro-service deployment. The system provides service support for an upper application layer, and provides maintenance early warning information, rule processing information of the internet of things equipment, health archive information, medical care cooperation information, online diagnosis and treatment information, online medicine finding information, health maintenance insurance information and other endowment service information for service objects and service institutions in the user module. And intelligently controlling the equipment of the lower sensing control module.
A user module; the user module faces the service object and the service mechanism, is connected with the service providing module and is used for acquiring endowment service information and providing service for the service object and the service mechanism according to the endowment service information. The service objects take the groups of guardians, nursing staff, doctors and the like of the old as service objects, wherein the old is taken as a main service object; the service organization takes the nursing home, the community and the government as service subject organizations, provides service supervision and guidance for service objects by using the invention, provides decision analysis for nursing policies, provides timely early warning service for hospitals to win precious rescue time and provides nursing operation flow specifications for nursing organizations through data enabling.
A resource exchange module; the resource exchange module is connected with the target object module, the perception control module, the service providing module and the user module and is used for sharing resources among the target object module, the perception control module, the service providing module and the user module. The resource exchange module carries out data mining and data analysis on data of the Internet of things intelligent endowment health data center platform, carries out resource integration, provides DASS service externally, provides unified and standard interface API, and is communicated with three-party systems such as hospital HIS, drug suppliers and medical insurance, and upstream and downstream channels are opened to carry out resource integration.
An operation control module; the operation management and control module is connected with the target object module, the perception control module, the service providing module and the user module and is used for carrying out service supervision on the target object module, the perception control module, the service providing module and the user module. The system mainly uses operation management and control main bodies such as government endowment organizations, hospital operation organizations, endowment service organizations, operators and the like to supervise the service of each module.
Further as a preferred implementation, the intelligent old-age health system based on the internet of things further includes:
the user module is also used for acquiring user feedback and uploading the user feedback to the service providing module; the service providing module receives the user feedback, processes the user feedback and uploads a processing result to the sensing control module; the perception control module receives the processing result, analyzes the processing result to obtain a control instruction, and uploads the control instruction to the target object module; the target object module is also used for receiving the control instruction, sending the control instruction to the Internet of things equipment and intelligently controlling the Internet of things equipment. The user can feed back to the intelligent health care system according to the self condition, the intelligent health care system can also automatically acquire and process the user feedback, the user gradually experiences the downward feedback of the service providing module, the perception control module and the target object module, and finally the connected internet of things equipment is controlled.
Further as a preferred implementation, the intelligent old-age health system based on the internet of things further includes:
the target object module contains an edge calculation layer, as shown in FIG. 2. And the edge computing layer acquires and processes data of the accessed Internet of things equipment through a distributed computing gateway. The edge computing gateway is a distributed computing node capable of being deployed at multiple points and structurally comprises a data acquisition module and an edge computing module. The data acquisition module mainly supports the access of a local intelligent device compatible adaptation protocol and the acquisition of device data. The method supports various wired and wireless Internet of things protocol networks on an adaptive device protocol, such as: WIFI, RFID, NFC, Zigbee, Bluetooth, HTTP, MQTT, COAP, 4G, 5G. The edge computing module contains edge applications (functions) and edge computing platforms, provides edge gateway full lifecycle management, device driver management (version, protocol, development language, applicable hardware architecture), and driver distribution to the gateways. Function computation provides management of function computation, and function logic can be edited online and distributed to edge gateways. The message routing provides message flow among the edge gateway side sub-equipment, the function computing and the cloud platform, and data analysis and processing arrangement. The gateway can exchange data with the cloud server in a wireless signal mode, an Ethernet mode, a base station mode and the like. The calculation function is in the form of a small section of self-defined Python script, the function can be edited online and deployed to the gateway equipment, and the data processing and service logic of the function can be defined conveniently, such as data analysis, filtering, cloud-up after cleaning desensitization, scene linkage among local sub-equipment and the like.
Further as a preferred implementation, the intelligent old-age health system based on the internet of things further includes:
the perception control module comprises a data center layer, and the data center layer collects the data collected and processed by the edge computing layer, performs data storage, intelligent analysis and data mining, and provides data service resources. The distributed multi-point multi-edge mass data are converged and transmitted to the cloud center, the data center layer carries out processing through a big data technology, deeply encapsulates data convergence, data development, data management, data service and data asset operation capacity, and a data service capitalization system of the data center is constructed. The data storage technology is based on a Hadoop open source framework, uses an HDFS (Hadoop distributed file system) as a core storage engine, integrates an Hbase distributed and column-type database, and meets the requirements of mass data storage and calculation by adopting the capability of Hbase horizontal expansion.
The data center layer adopts a middleware technology, a Zookeeper distributed lock technology, a real-time computing technology, a meta-model driving technology and a cross-service asynchronous log real-time pushing technology.
Middleware technology: the difference of bottom layer interfaces is shielded through a uniform computing middleware, a uniform API interface is provided for the outside, and common development components of big data such as Spark, Hive, ES, Hbase, Flink and the like are packaged.
Zookeeper distributed lock: distributed locks are realized based on zookeeper, all computing tasks in the system are managed uniformly, and effective utilization of resources and data consistency are guaranteed.
The real-time computing technology comprises the following steps: and related real-time computing capacity is provided, including real-time service scenes, real-time data subscription, real-time data quality investigation and the like.
Driving by a meta model: the metadata management adopts a design mode driven by a meta-model, can automatically adapt to form field differences of data models in different fields, and can adapt to different basic platforms in a configured mode. Therefore, the method can adapt to unknown requirement changes in the future.
Pushing cross-service asynchronous logs in real time: and realizing cross-service asynchronous real-time pushing of the log by adopting a design mode of the listener and service calling of RPC.
The data center provides API support for the treated data service, and the data API is quickly constructed to provide service to the outside through simple configuration of query conditions of zero codes or free writing of SQL statements on a platform, so that various data of the data center can be provided to the outside in a data table mode. And is the identity requested by the interface by authenticating the API and the authorized application; supporting the setting of an IP black and white list and controlling the service calling authority; the authorized or application approved API can be used by the application, and the data controllability and the range controllability are ensured while the service stability is ensured. And simultaneously, auditing and metering are provided for data API service: and counting all calling party information, total calling condition, successful calling frequency counting, failed calling frequency counting and the like of the service by taking the service as an object, and providing an audit data basis for subsequent metering charging, access control and flow control. Full-link tracing is provided for the calling condition of the service API. Depending on the data management of the data center and the capability of providing the data service API, the upper layer can be developed and constructed with an application management layer with a specific application scene.
Further as a preferred implementation, the intelligent old-age health system based on the internet of things further includes:
the service providing module comprises an application management layer, and the application management layer establishes an application management system according to the data service resources provided by the data center layer. If the household mobile detection function is adopted, physical sign and behavior data of the old are collected through various hardware devices, and the family nursing person is timely notified when abnormality is found. The old people sign information is subjected to long-term data tracking, an old people health data analysis trend report is provided, and children and old people are helped to effectively master the health trend; for example, the intelligent nursing function can utilize abundant intelligent hardware equipment such as an electronic calling bell, a cardiovascular disease detector and the like to quickly establish a management system, monitor various body index data of the old in real time, and perform fence alarm to facilitate timely treatment of the missing of the old so as to provide various refined services; for example, the intelligent medicine function can rapidly customize various products such as intelligent medicine cabinets, intelligent medicine boxes and the like through the analysis of physical sign and health data of the old, and provides the old home-care experience with simple operation and intelligent flexibility for the old with semi-self-care capability; continuously collecting health indexes if the remote detection and diagnosis and treatment functions are performed; pre-warning for heart disease, chronic disease, asthma, diabetes and insulin management sub-health; the multi-platform system is in butt joint, so that community tracking record management is facilitated, and complementation with hospital postoperative management is formed.
Further as a preferred implementation, the intelligent old-age health system based on the internet of things further includes:
the user module comprises a user service layer, and the user service layer is configured on service platforms such as a mobile terminal APP application, a PC terminal software program and the like based on an application management system established by the service providing module. The management user and the management crowd system provide visual UI operation interface application, support rich terminal display and meet the requirements of different crowds and different working use habits.
Further as a preferred implementation, the intelligent old-age health system based on the internet of things further includes:
and the service providing module adopts a rule engine to analyze and process the obtained sensing result to obtain a target user and provide the endowment service information for the target user. The rules engine evaluates the written rules using Rete algorithm and runs the business logic expressed using declarative style. Rules may be written in a native language other than XML to facilitate learning and understanding. Furthermore, the Java code can be directly embedded into the rule file, and the method has the following characteristics: the Rete algorithm is completely realized; provides strong Eclipse Plugin development support; by using the dsl (domain Specific language) in the service rule description, the service rule can be described in a natural language manner, so that a service analyst can also understand the service rule code; the method provides a WEB-based BRMS (Business support management system) -Guvnor, and Guvnor provides a rule management knowledge base, and through the method, the version control of rules and the online modification and compilation of the rules can be realized, so that developers and system managers can manage business rules online; the rule file has one or more rule declarations. Each rule declaration consists of one or more conditional elements and one or more sequences or actions to be performed.
The system is constructed on the basis of an Internet of things platform foundation and a health data center of an endowment institution, the whole system frame comprises an edge computing layer, a data center layer, a data management layer and a user service layer, interaction is carried out by configuring an API (application programming interface), a rule engine efficiently circulates data, and an instruction is sent to remotely regulate and control an Internet of things device to provide service. The system can quickly establish the health archives of the old people through the Internet of things data center station connected with a plurality of healthy endowment mechanisms, and access the Internet of things platform for unified management. The monitored data can be reported quickly and accurately and the statistical analysis of big data can be carried out by monitoring the internet of things equipment in a remote and real-time manner. In addition, the system can rapidly transfer data to an optimal receiver by applying a powerful rule engine according to a data analysis result, and transmit early warning information to a corresponding early warning receiver according to the early warning rule, so that the problems of delayed and untimely old-age service and the like caused by the fact that the daily behavior safety data of personnel are not communicated with the information of an organization, health physical measurement data and hospitals and guardians are effectively solved.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, operations of processes described in this embodiment can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described in this embodiment (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described in this embodiment includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein.
A computer program can be applied to input data to perform the functions described in the present embodiment to convert the input data to generate output data that is stored to a non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
The above description is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention as long as the technical effects of the present invention are achieved by the same means. The invention is capable of other modifications and variations in its technical solution and/or its implementation, within the scope of protection of the invention.
Claims (10)
1. The utility model provides a wisdom endowment health system based on thing networking which characterized in that includes:
the target object module faces the Internet of things equipment, provides an access port for the Internet of things equipment and is connected with the Internet of things equipment;
the perception control module is connected with the target object module and used for acquiring the information of the equipment connected with the target object module and generating a perception result according to the information of the equipment;
the service providing module is connected with the perception control module and used for acquiring the perception result and obtaining endowment service information according to the perception result;
and the user module faces to a service object and a service mechanism, is connected with the service providing module and is used for acquiring the endowment service information and providing services for the service object and the service mechanism according to the endowment service information.
2. The intelligent system for endowment health based on Internet of things as claimed in claim 1,
the user module is also used for acquiring user feedback and uploading the user feedback to the service providing module;
the service providing module is also used for receiving the user feedback, processing the user feedback and uploading a processing result to the perception control module;
the perception control module is also used for receiving the processing result, analyzing the processing result to obtain a control instruction, and uploading the control instruction to the target object module;
and the target object module is also used for receiving the control instruction, sending the control instruction to the Internet of things equipment and intelligently controlling the Internet of things equipment.
3. The intelligent old-age health system based on the internet of things as claimed in any one of claims 1-2, further comprising:
and the resource exchange module is connected with the target object module, the perception control module, the service providing module and the user module and is used for sharing resources among the target object module, the perception control module, the service providing module and the user module.
4. The intelligent old-age health system based on the internet of things as claimed in any one of claims 1-2, further comprising:
and the operation management and control module is connected with the target object module, the perception control module, the service providing module and the user module and is used for carrying out service supervision on the target object module, the perception control module, the service providing module and the user module.
5. The intelligent endowment health system based on the internet of things as claimed in any one of claims 1-2, wherein the target object module comprises an edge computing layer, and the edge computing layer performs data acquisition processing on accessed internet of things equipment through a distributed computing gateway.
6. The intelligent old-age health system based on the internet of things as claimed in claim 5, wherein the perception control module comprises a data center layer, and the data center layer collects the data collected and processed by the edge computing layer, performs data storage, intelligent analysis and data mining, and provides data service resources.
7. The system of claim 6, wherein the service providing module comprises an application management layer, and the application management layer establishes an application management system according to the data service resources provided by the data center layer.
8. The system of claim 7, wherein the user module comprises a user service layer, and the user service layer is configured on a service platform such as a mobile APP application and a PC software program based on an application management system established by the service providing module.
9. The intelligent endowment health system based on the Internet of things according to any one of claims 1-2, wherein the service providing module adopts a rule engine to analyze and process the obtained perception result to obtain a target user, and provides the endowment service information for the target user.
10. The intelligent endowment health system based on the internet of things as claimed in any one of claims 1-2, wherein the endowment service information comprises: maintenance early warning information, health archive information, online diagnosis and treatment information, medical care cooperation information, online medicine finding information and health maintenance insurance information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111634659.9A CN114373526A (en) | 2021-12-29 | 2021-12-29 | Wisdom endowment health system based on thing networking |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111634659.9A CN114373526A (en) | 2021-12-29 | 2021-12-29 | Wisdom endowment health system based on thing networking |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114373526A true CN114373526A (en) | 2022-04-19 |
Family
ID=81142513
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111634659.9A Pending CN114373526A (en) | 2021-12-29 | 2021-12-29 | Wisdom endowment health system based on thing networking |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114373526A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114826882A (en) * | 2022-04-26 | 2022-07-29 | 中煤科工集团重庆智慧城市科技研究院有限公司 | Communication adaptation method and system applied to smart city |
| CN115296957A (en) * | 2022-06-22 | 2022-11-04 | 中科计算技术创新研究院 | Internet of things gateway device based on low codes |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106886676A (en) * | 2017-01-10 | 2017-06-23 | 深圳还是威健康科技有限公司 | Wisdom health control platform |
| CN109544052A (en) * | 2019-01-30 | 2019-03-29 | 南京我在智能科技有限公司 | A kind of intelligence community management system based on Internet of Things edge calculations server |
| CN112073265A (en) * | 2020-08-31 | 2020-12-11 | 帷幄匠心科技（杭州）有限公司 | Internet of things monitoring method and system based on distributed edge computing |
| CN213545923U (en) * | 2020-11-03 | 2021-06-25 | 贵州精准医疗电子有限公司 | Intelligent medical technology system |
| CN113409176A (en) * | 2021-04-23 | 2021-09-17 | 山东海天智能工程有限公司 | Wisdom endowment system |
-
2021
- 2021-12-29 CN CN202111634659.9A patent/CN114373526A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106886676A (en) * | 2017-01-10 | 2017-06-23 | 深圳还是威健康科技有限公司 | Wisdom health control platform |
| CN109544052A (en) * | 2019-01-30 | 2019-03-29 | 南京我在智能科技有限公司 | A kind of intelligence community management system based on Internet of Things edge calculations server |
| CN112073265A (en) * | 2020-08-31 | 2020-12-11 | 帷幄匠心科技（杭州）有限公司 | Internet of things monitoring method and system based on distributed edge computing |
| CN213545923U (en) * | 2020-11-03 | 2021-06-25 | 贵州精准医疗电子有限公司 | Intelligent medical technology system |
| CN113409176A (en) * | 2021-04-23 | 2021-09-17 | 山东海天智能工程有限公司 | Wisdom endowment system |
Non-Patent Citations (1)
| Title |
|---|
| 刘东明: "《"5G革命 一场正在席卷全球的硬核科技之争5G引领新基建 深度解读5G带来的商业变革与产业机会》", 中国经济出版社, pages: 46 - 51 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114826882A (en) * | 2022-04-26 | 2022-07-29 | 中煤科工集团重庆智慧城市科技研究院有限公司 | Communication adaptation method and system applied to smart city |
| CN115296957A (en) * | 2022-06-22 | 2022-11-04 | 中科计算技术创新研究院 | Internet of things gateway device based on low codes |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Fortino et al. | Cloud-assisted body area networks: state-of-the-art and future challenges | |
| Haque et al. | Review of cyber-physical system in healthcare | |
| CN114373526A (en) | Wisdom endowment health system based on thing networking | |
| Almeida et al. | An IoT‐aware architecture for collecting and managing data related to elderly behavior | |
| Mehdipour et al. | Fog computing realization for big data analytics | |
| KR20170010747A (en) | Agnostic data broker | |
| Pflanzner et al. | A taxonomy and survey of IoT cloud applications | |
| Aly et al. | What do practitioners discuss about iot and industry 4.0 related technologies? characterization and identification of iot and industry 4.0 categories in stack overflow discussions | |
| Alberternst et al. | Orchestrating heterogeneous devices and AI services as virtual sensors for secure cloud-based IoT applications | |
| Thangaraj et al. | Agent based semantic internet of things (IoT) in smart health care | |
| Plazas et al. | Sense, Transform & Send for the Internet of Things (STS4IoT): UML profile for data-centric IoT applications | |
| Rajeswari et al. | AI-Based IoT analytics on the cloud for diabetic data management system | |
| Alturki et al. | A proposed application for controlling overweight and obesity within the framework of the internet of things | |
| Gonzalez-Usach et al. | AAL open source system for the monitoring and intelligent control of nursing homes | |
| Khodkari et al. | Smart healthcare and quality of service challenges | |
| Huru et al. | BigClue: Towards a generic IoT cross-domain data processing platform | |
| Belmonte-Fernández et al. | A Reactive Architectural Proposal for Fog/Edge Computing in the Internet of Things Paradigm with Application in Deep Learning | |
| Aburukba et al. | Brokering services for integrating health cloud platforms for remote patient monitoring | |
| Zgheib | SeMoM, a semantic middleware for IoT healthcare applications | |
| Nguyen et al. | Developing an Architecture for IoT Interoperability in Healthcare: A Case Study of Real-time SpO2 Signal Monitoring and Analysis | |
| Castro et al. | Application of a Multimedia Service and Resource Management Architecture for Fault Diagnosis | |
| Cesta et al. | From sensor data to user services in giraffplus | |
| Plattner et al. | A multi-sensory approach to acquire and process health and lifestyle information | |
| Pradilla et al. | Micro virtual machines (MicroVMs) for cloud-assisted cyber-physical systems (CPS) | |
| Pflanzner et al. | Simulating sensor devices for experimenting with IoT cloud systems |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |