CN108597599A - A kind of health monitoring system and method based on the scheduling of cloud and mist resource low latency - Google Patents
A kind of health monitoring system and method based on the scheduling of cloud and mist resource low latency Download PDFInfo
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Abstract
The present invention discloses a kind of health monitoring system dispatched based on cloud and mist resource low latency, including biosensor node, mist calculation server, cloud data center and mobile intelligent terminal.Invention additionally discloses a kind of health monitor method based on the scheduling of cloud and mist resource low latency, biosensor node transmits physiologic monitoring data to the nearest mist calculation server of network distance；Mist calculation server is responsible for reception, processing and fused data, and is uploaded to cloud data center；The mobile intelligent terminal mist calculation server nearest with network distance is connect, and receives intelligent alarm information, health evaluating result and intervening measure；The resource scheduling algorithm processing request based on time threshold constraint is to ensure low latency inside mist calculation server, cloud data center.Such technical solution plays the advantages such as intelligent front end, delay is low, location aware is strong, overcomes limitation of the biosensor in terms of energy and storage, increases user experience, is conducive to pinpoint the problems and give at the first time to give first aid to.
Description
Technical field
The invention belongs to medical information field, more particularly to a kind of health supervision system based on the scheduling of cloud and mist resource low latency
System and method.
Background technology
According to《Chinese cardiovascular health index (2017)》It has been shown that, resident's cardiovascular disease (CVD) risk factor generally expose, and are in
It becomes younger now, rapid growth and individual aggregation tendency in low-income group.The Chinese cardiovascular and cerebrovascular diseases death rate is in rising trend.
Blood vessel sufferer number 2.9 hundred million, wherein cerebral apoplexy 13,000,000, coronary heart disease 11,000,000, cor pulmonale 5,000,000, heart failure 450
Ten thousand, rheumatic heart disease 2,500,000, congenital heart disease 2,000,000, hypertension 2.7 hundred million.The prevention and monitoring of cardiovascular disease (CVD)
It is extremely important, especially bursting property heart disease, if can monitor subtle sign in advance and adopt an effective measure, 70%-
80% patient can to avoid death, find at the first time and give rescue it is extremely important.
Densely populated place under the places such as Hospitals at Present health supervision center, community hospital, maintenance center, amount of flow is big, desk-top
Often volume is larger, inconvenient to carry for custodial care facility, and monitoring is costly, it is difficult to meet the demand of growing patient.It is portable
Formula monitoring terminal calculates and storage resource is limited, using the short distances agreement such as bluetooth, ZigBee, WIFI, 6LoWPAN, will finally count
There is the larger high in the clouds stored with computing capability according to concentrating, but high in the clouds faces response speed, network bandwidth and network congestion etc. and chooses
War, it is difficult to meet low latency requirement, the requirements such as mobility and location aware influence real-time and the practicality of health monitoring
Property.
Invention content
The purpose of the present invention is to provide a kind of health monitoring system dispatched based on cloud and mist resource low latency and method,
The technologies such as its integrated use Internet of Things, mist calculating, cloud computing, the intelligent front end of performance mist calculating, delay is low, location aware is strong
The advantages that, overcome limitation of the Human Physiology sensor node in terms of energy and storage, increases user experience, in health supervision
The places such as center, community hospital expand the number and degree of freedom of monitoring, to be conducive to pinpoint the problems and give at the first time to rescue
Shield.
In order to achieve the above objectives, solution of the invention is：
A kind of health monitoring system based on the scheduling of cloud and mist resource low latency, including biosensor node, mist calculate clothes
Business device, cloud data center and mobile intelligent terminal；
The built-in wireless transceiver for supporting communication protocol of the biosensor node, calculates with the nearest mist of network distance
Server connects and keeps interactive；
The Convergence gateway of the mist calculation server built-in communication agreement is responsible for receiving, handle and merging biosensor
The physiologic monitoring data of transmission is interacted with cloud data center holding based on ICP/IP protocol and uploads data；
Wireless communication module built in the mobile intelligent terminal, based on wireless WIFI modes and the nearest mist meter of network distance
Server connection is calculated, intelligent alarm information, health evaluating result and intervening measure, wherein mist calculation server and cloud data are received
Central interior handles request based on the resource scheduling algorithm that time threshold constrains, to ensure low latency.
Above-mentioned communication protocol includes bluetooth, ZigBee, WIFI and 6LoWPAN.
Above-mentioned network distance is calculated using network coordinate model based on Euclidean distance.
A kind of health monitor method based on the scheduling of cloud and mist resource low latency, includes the following steps：
Step S1, mist calculation server calculate the network distance of biosensor node and mist calculation server；
Step S2, biosensor node select communication protocol appropriate to connect with the nearest mist calculation server of network distance
It connects and keeps interactive；
Step S3 adheres to several biosensor nodes acquisition physiological data of body surface；
Step S4, the physiological data of mist calculation server receiving step S3 acquisitions realize procotol conversion and localization
Data real time fusion and processing record biosensor acquisition time, access times and data logging；
Step S5, if each mist calculation server virtualizes dry fog calculate node, all mist calculate nodes are based on DHT agreements
Constitute Chord ring mist network models, mist calculate node information registering to cloud data center；
Step S6, mobile intelligent terminal are connect based on the wireless WIFI modes mist calculation server nearest with network distance；
Resource scheduling algorithm based on time threshold constraint inside mist calculate node and cloud data center handles request, to ensure low prolong
Late；
Step S7, mobile intelligent terminal receive intelligent alarm information, health evaluating result and intervening measure.
The particular content of above-mentioned steps S1 is：
Step S11, mist calculation server obtain mist calculation server, the geographical location of biosensor node and net respectively
Network coordinate is simultaneously established in network address；
Step S12, mist calculation server calculate being sat based on network between biosensor node and mist calculation server
Target Euclidean distance.
In above-mentioned steps S3, physiological data includes heart rate, electrocardio, blood pressure, blood oxygen, respiratory rate and body temperature parameter.
The particular content of above-mentioned steps S4 is：
Step S41, the Convergence gateway of mist calculation server built-in communication agreement receives, pretreatment and fusion physiology sense
The data of device transmission；
Step S42, mist calculation server record the time of biosensor gathered data, access times and data logging；
Data are uploaded to cloud data center by step S43, mist calculation server based on ICP/IP protocol.
The particular content of above-mentioned steps S5 is：
Step S51, if each mist calculation server is virtualized into dry fog calculate node, by the inspection of mist calculation server, dimension
Protect its availability；
Step S52, mist calculate node are based on DHT agreements and constitute Chord ring mist network models, mist calculate node information registering
To cloud data center；
Step S53, cloud data center safeguard the log-on message of mist calculate node by cloud-mist coordinator, coordinate, distribution control
Mist calculate node processed safeguards the Chord ring topology structures between mist calculate node.
The particular content of above-mentioned steps S6 is：
Step S61, wireless communication module built in mobile intelligent terminal, nearest to network distance based on wireless WIFI modes
Mist calculation server submits request；
Step S62, mist calculation server load request press following condition respective handling based on time threshold constraint：
Condition is 1.：If all or part of mist calculate nodes are available in mist calculation server, decompose request task and send
Subtask is sent out to available mist calculate node, is sent to request end and is confirmed and update mist calculate node request list；
Condition is 2.：If all mist calculate nodes are based on DHT agreements all in allocated phase in mist calculation server
Chord ring mist network models forward the request to neighbours' mist calculate node, meet request stand-by period threshold condition；
Condition is 3.：If all mist calculate nodes are all in allocated phase in mist calculation server, and neighbours' mist calculates
Node is more than request stand-by period threshold value, and request is propagated to cloud data center processing；
Step S63, if beyond request stand-by period threshold value, cloud data center requires after receiving forwarding request to request end
Increase the response time, while confirming to propagating mist calculate node and sending；
Step S64, after receiving confirmation, cloud data center is preferentially distributed and the nearest cloud of above-mentioned mist calculate node network distance
Data center's node, directly processing request.
The particular content of above-mentioned steps S7 is：
Step S71, in request stand-by period threshold value, mobile intelligent terminal receives the nearest mist of network distance and calculates service
Device provides intelligent alarm information, health evaluating result and the intervening measure received；
Step S72, it is mobile after mobile intelligent terminal confirms the increase response time if request is more than stand-by period threshold value
Intelligent terminal receives the intelligent alarm information, health evaluating result and intervening measure for being forwarded from cloud data center.
After adopting the above scheme, the present invention has the advantage that：
(1) mist calculation server intelligent front end and low latency sexual clorminance are utilized, the user for enhancing health supervision is conducive to
Experience improves the real-time and practicability of cardio-cerebral vascular disease patient health supervision；
(2) have the features such as low-power consumption, low volume, good portability, play location aware and mobile sexual clorminance, be conducive to
More cardio-cerebral vascular disease patients are guarded in the places such as health supervision center, community hospital, and expand the degree of freedom of monitoring；
(3) be directed to " biosensor node+cloud computing pattern in terms of network bandwidth and network congestion there are the problem of,
Edge network superiority bandwidth is made full use of, avoids network congestion, health monitoring system is more stable, reliable, overcomes to a certain extent
Limitation of the biosensor in terms of energy and storage.
Description of the drawings
Fig. 1 is the integrated stand composition of present system；
Fig. 2 is the flow chart of the method for the present invention.
Specific implementation mode
Below with reference to attached drawing, technical scheme of the present invention and advantageous effect are described in detail.
The present invention provides a kind of health monitoring system dispatched based on cloud and mist resource low latency, including biosensor section
Point, mist calculation server, cloud data center and mobile intelligent terminal, are introduced separately below.
The biosensor node integrates biosensor, data conversion module, power module, storage unit, wireless
The main functional modules such as transceiver.Different biosensors are responsible for acquiring different physiological datas respectively, including：Heart rate, electrocardio, blood
The physiological parameters such as pressure, blood oxygen, respiratory rate, body temperature；Wireless transceiver is responsible for realizing biosensor node and mist calculation server
Between communication, such as：The wireless short-ranges agreement such as bluetooth, ZigBee, WIFI, 6LoWPAN.In specific implementation, heart rate, electrocardio are adopted
With NeuroSky BMD101 sensors, low-power consumption 0.8mA, 3.3V (3.3 ± 10%) power supply power supply is sent out based on 6LoWPAN
Send ECG data；Blood pressure drives air pump, pressure circuit to choose Measurement Specialities companies using C8051F06X
1220 type pressure sensors, transmission chip realize that ZigBee sends systolic pressure and diastolic blood pressure data using TI companies CC2430；Blood
Oxygroup sends the oxygen saturation data sensed based on TI Bluetooth chips in the Si1143 chip sensors of Silicon Labs；
Respiratory rate is based on Novelda companies ultra-wideband pulse radar XeThru sensors, and transmission chip is realized using TI companies CC2430
ZigBee sends respiratory rate data；Body temperature transducer node adopts platinum resistance as sensing element, using ConnectOne companies
CO2128 controls chip transmission data as WIFI.
The Convergence gateway of the mist calculation server embedded with bluetooth, ZigBee, WIFI, 6LoWPAN, i.e. embedded with bluetooth,
Four kinds of coordinators of ZigBee, WIFI, 6LoWPAN short distance agreement, to the sensing data of reception according to predefined data packet
Uniform format processing, realizes Data Fusion, the access of external network and the forwarding of data；Built-in services device embedded with bluetooth mist
Calculation server is based on ICP/IP protocol and interconnects other mist calculation servers or cloud data center.Mist calculation server embedded with network
Coordinate calculation module, the European formula based on network coordinate calculate network distance.If mist calculation server is virtualized into dry fog meter
Operator node；All mist calculate nodes are based on DHT agreements and constitute Chord ring mist network models.In specific implementation, mist server uses
Cortex A8 processor chips, 250G Byte solid state disks, (SuSE) Linux OS Xen VMM, Convergence gateway (bluetooth,
ZigBee, WIFI, 6LoWPAN), 10M/100M network interface cards.
The cloud data center uses virtualization technology, and TCP/IP connections, MapReduce algorithm frames is supported to provide intelligence
Warning message service, health evaluating service, Health intervention measure service, and the mirror image of above-mentioned service is provided for mist calculate node.
Assessment result is transmitted to mobile intelligent terminal by cloud data center by mist calculate node, and the Health intervention to formulate personalized is arranged
Offer support is provided.
The mobile intelligent terminal is software and hardware integration equipment, by central processing unit, memory, LCD display, touch
Shield the hardware modules such as input interface, Interface of Communication Conversion to constitute, wireless communication module built in mobile intelligent terminal, based on wireless
The WIFI modes mist calculation server nearest with network distance is connect.It is developed using HTML5 based on hardware configuration and integrates monitoring
System function, including：Online displaying physiologic monitoring data, real-time intelligent alarm, health risk assessment and prediction result, intervention are arranged
The functions such as apply in the application software system of one.
As shown in Figure 1, the general frame of the health monitoring system based on the scheduling of cloud and mist resource low latency is divided into three levels：
Monitor sensing layer, mist computation layer, cloud data center layer.
Monitor sensing layer：All kinds of biosensors on individual surface are arranged in, including：Blood pressure sensor, heart rate sensor,
EGC sensor, blood oxygen transducer, respiration rate sensor, body temperature transducer etc., the basis for constituting individual physiological compensation effects are set
It applies.
Mist computation layer：Mist computation layer is biosensor and cloud data center layer " bridge ", if mist is calculated by dry fog meter
Calculate server composition.If each mist calculation server is virtualized into dry fog calculate node；All mist calculate nodes are based on DHT agreements
Chord ring mist network models are constituted, gathered data, data fusion and the data analysis of biosensor transmission is received, carries nearby
For intelligent alarm information, health evaluating result and intervening measure.
Cloud data center layer：Cloud data center layer includes several cloud back end and cloud-mist layer coordinator.Cloud-mist layer association
It adjusts device to be responsible for safeguarding the log-on message of mist calculate node, coordinates, distributed controll mist calculate node, safeguard between mist calculate node
Chord ring topology structures.Mist calculate node uploads data and big data analysis to the nearest cloud data center node of network distance,
Intelligent alarm information, health evaluating result and intervening measure are provided nearby and are transmitted to mist calculate node.
Data presentation layer：Patient holds mobile intelligent terminal, and it is real to be based on XML data Exchange framework information with sensing cloud platform
When interaction and it is shared；Mobile intelligent terminal develops using HTML5+JQuery and integrates monitor system function, including：Online exhibition
Show real-time exhibition HEALTH ONLINE monitoring result；Show health risk assessment report；According to health condition, suitable recommended diet and fortune
It is dynamic, it improves health.
Coordinate shown in Fig. 2, the present invention also provides the health monitor method dispatched based on cloud and mist resource low latency, including it is as follows
Step：
Step S1, mist calculation server calculate the network distance of biosensor node and mist calculation server；
Step S2, biosensor node select communication protocol appropriate to connect with the nearest mist calculation server of network distance
It connects and keeps interactive；
Step S3 adheres to several biosensor nodes acquisition physiological data of body surface, and physiological data includes heart rate, the heart
Electricity, blood pressure, blood oxygen, respiratory rate and body temperature parameter.
Step S4, the physiological data of mist calculation server receiving step S3 acquisitions realize procotol conversion and localization
Data real time fusion and processing；Record biosensor acquisition time, access times and data logging；
Step S5, if each mist calculation server virtualizes dry fog calculate node, all mist calculate nodes are based on DHT agreements
Constitute Chord ring mist network models, mist calculate node information registering to cloud data center；
Step S6, mobile intelligent terminal are connect based on the wireless WIFI modes mist calculation server nearest with network distance；
Request is handled using the resource scheduling algorithm constrained based on time threshold inside mist calculate node and cloud data center, it is low to ensure
Delay；
Step S7, mobile intelligent terminal receive intelligent alarm information, health evaluating result and intervening measure.
The particular content of above-mentioned steps S1 is：
Step S11, mist calculation server obtain mist calculation server, the geographical location of sensor node and network address simultaneously
Network coordinate is established, specially：Mist calculation server monitoring wireless signal strength and mutually shared snoop results are strong based on signal
The trilateration location algorithm of degree determines the geographical location of sensor node；Mist calculation server snoopy test data packet obtains net
Network address overcomes the shortcomings of simply its object is to avoid data packet transmission across Autonomous Domain based on geographical location；By geographical location
Network is constituted from coordinate with network address；
Step S12 calculates the Euclidean distance based on network coordinate between biosensor node and mist calculation server,
Specially：The network coordinate of definition node iEuclidean distance based on network coordinate
The particular content of above-mentioned steps S4 is：
Step S41, mist calculation server embedded with bluetooth, ZigBee, WIFI, 6LoWPAN agreement Convergence gateway, receive,
The data of pretreatment and fusion biosensor transmission；
Step S42, mist calculation server record biosensor acquisition time, access times and data logging；
Data are uploaded to cloud data center by step S43, mist calculation server based on ICP/IP protocol.
The particular content of above-mentioned steps S5 is：
Step S51, if each mist calculation server is virtualized into dry fog calculate node, by the inspection of mist calculation server, dimension
Protect its availability；
Step S52, mist calculate node are based on DHT agreements and constitute Chord ring mist network models, mist calculate node information registering
To cloud data center；
Step S53, cloud data center safeguard the log-on message of mist calculate node by cloud-mist coordinator, coordinate, distribution control
Mist calculate node processed safeguards the Chord ring topology structures between mist calculate node.
The particular content of above-mentioned steps S6 is：
Step S61, wireless communication module built in mobile intelligent terminal, nearest to network distance based on wireless WIFI modes
Mist calculation server submits request；
Step S62, mist calculation server load request press following condition respective handling based on time threshold constraint：
Condition is 1.：If all or part of mist calculate nodes are available in mist calculation server, decompose request task and send
Subtask is sent out to available mist calculate node, is sent to request end and is confirmed and update mist calculate node request list；
Condition is 2.：If all mist calculate nodes are based on DHT agreements all in allocated phase in mist calculation server
Chord ring mist network models forward the request to neighbours' mist calculate node, meet in request stand-by period threshold condition；
Condition is 3.：If all mist calculate nodes are all in allocated phase in mist calculation server, and neighbours' mist calculates
Node is more than request stand-by period threshold value, and request is propagated to cloud data center processing；
Step S63, if beyond request stand-by period threshold value, cloud data center requires after receiving forwarding request to request end
Increase the response time, while confirming to propagating mist calculate node and sending；
Step S64, after receiving confirmation, cloud data center is preferentially distributed and the nearest cloud of above-mentioned mist calculate node network distance
Data center's node, directly processing request.
The particular content of above-mentioned steps S7 is：
Step S71, in request stand-by period threshold value, mobile intelligent terminal receives the nearest mist of network distance and calculates service
Device provides intelligent alarm information, health evaluating result and the intervening measure received；
Step S72, it is mobile after mobile intelligent terminal confirms the increase response time if request is more than stand-by period threshold value
Intelligent terminal receives the intelligent alarm information, health evaluating result and intervening measure for being forwarded from cloud data center.
Above example is merely illustrative of the invention's technical idea, and protection scope of the present invention cannot be limited with this, every
According to technological thought proposed by the present invention, any change done on the basis of technical solution each falls within the scope of the present invention
Within.
Claims (10)
1. a kind of health monitoring system based on the scheduling of cloud and mist resource low latency, it is characterised in that：Including biosensor node,
Mist calculation server, cloud data center and mobile intelligent terminal；
The built-in wireless transceiver for supporting communication protocol of the biosensor node, calculates with the nearest mist of network distance and services
Device connects and keeps interactive；
The Convergence gateway of the mist calculation server built-in communication agreement is responsible for receiving, handle and merging biosensor transmission
Physiologic monitoring data, interacted based on the holding of ICP/IP protocol and cloud data center and upload data；
Wireless communication module built in the mobile intelligent terminal is calculated based on the nearest mist of wireless WIFI modes and network distance and is taken
Business device connection, receives intelligent alarm information, health evaluating result and intervening measure, wherein mist calculation server and cloud data center
Inside handles request based on the resource scheduling algorithm that time threshold constrains, to ensure low latency.
2. a kind of health monitoring system based on the scheduling of cloud and mist resource low latency as described in claim 1, it is characterised in that：Institute
It includes bluetooth, ZigBee, WIFI and 6LoWPAN to state communication protocol.
3. a kind of health monitoring system based on the scheduling of cloud and mist resource low latency as described in claim 1, it is characterised in that：Institute
Network distance is stated to calculate based on Euclidean distance using network coordinate model.
4. a kind of health monitor method based on the scheduling of cloud and mist resource low latency, it is characterised in that include the following steps：
Step S1, mist calculation server calculate the network distance of biosensor node and mist calculation server；
Step S2, the mist calculation server that biosensor node selects communication protocol appropriate nearest with network distance are connect simultaneously
Keep interaction；
Step S3 adheres to several biosensor nodes acquisition physiological data of body surface；
Step S4, the physiological data of mist calculation server receiving step S3 acquisitions realize procotol conversion and localization data
Real time fusion and processing record biosensor acquisition time, access times and data logging；
Step S5, if each mist calculation server virtualizes dry fog calculate node, all mist calculate nodes are constituted based on DHT agreements
Chord ring mist network models, mist calculate node information registering to cloud data center；
Step S6, mobile intelligent terminal are connect based on the wireless WIFI modes mist calculation server nearest with network distance；Mist meter
Resource scheduling algorithm based on time threshold constraint inside operator node and cloud data center handles request, to ensure low latency；
Step S7, mobile intelligent terminal receive intelligent alarm information, health evaluating result and intervening measure.
5. a kind of health monitor method based on the scheduling of cloud and mist resource low latency as claimed in claim 4, it is characterised in that：Institute
Stating the particular content of step S1 is：
Step S11, mist calculation server with obtaining mist calculation server, the geographical location of biosensor node and network respectively
Network coordinate is simultaneously established in location；
Step S12, mist calculation server calculate between biosensor node and mist calculation server based on network coordinate
Euclidean distance.
6. a kind of health monitor method based on the scheduling of cloud and mist resource low latency as claimed in claim 4, it is characterised in that：Institute
It states in step S3, physiological data includes heart rate, electrocardio, blood pressure, blood oxygen, respiratory rate and body temperature parameter.
7. a kind of health monitor method based on the scheduling of cloud and mist resource low latency as claimed in claim 4, it is characterised in that：Institute
Stating the particular content of step S4 is：
Step S41, the Convergence gateway of mist calculation server built-in communication agreement receives, pretreatment and fusion biosensor pass
Defeated data；
Step S42, mist calculation server record the time of biosensor gathered data, access times and data logging；
Data are uploaded to cloud data center by step S43, mist calculation server based on ICP/IP protocol.
8. a kind of health monitor method based on the scheduling of cloud and mist resource low latency as claimed in claim 4, it is characterised in that：Institute
Stating the particular content of step S5 is：
Step S51 by the inspection of mist calculation server, safeguards it if each mist calculation server is virtualized into dry fog calculate node
Availability；
Step S52, mist calculate node are based on DHT agreements and constitute Chord ring mist network models, mist calculate node information registering to cloud
Data center；
Step S53, cloud data center safeguard the log-on message of mist calculate node by cloud-mist coordinator, coordinate, distributed controll mist
Calculate node safeguards the Chord ring topology structures between mist calculate node.
9. a kind of health monitor method based on the scheduling of cloud and mist resource low latency as claimed in claim 4, it is characterised in that：Institute
Stating the particular content of step S6 is：
Step S61, wireless communication module built in mobile intelligent terminal, based on wireless WIFI modes to the nearest mist meter of network distance
It calculates server and submits request；
Step S62, mist calculation server load request press following condition respective handling based on time threshold constraint：
Condition is 1.：If all or part of mist calculate nodes are available in mist calculation server, decompose request task and distribute son
Task sends to request end to available mist calculate node and confirms and update mist calculate node request list；
Condition is 2.：If all mist calculate nodes are based on DHT agreements all in allocated phase in mist calculation server
Chord ring mist network models forward the request to neighbours' mist calculate node, meet request stand-by period threshold condition；
Condition is 3.：If all mist calculate nodes are all in allocated phase in mist calculation server, and neighbours' mist calculate node
More than request stand-by period threshold value, request is propagated into cloud data center processing；
Step S63, if beyond request stand-by period threshold value, cloud data center requires to increase after receiving forwarding request to request end
Response time, while confirming to propagating mist calculate node and sending；
Step S64, after receiving confirmation, cloud data center is preferentially distributed and the nearest cloud data of above-mentioned mist calculate node network distance
Centroid, directly processing request.
10. a kind of health monitor method based on the scheduling of cloud and mist resource low latency as claimed in claim 4, it is characterised in that：
The particular content of the step S7 is：
Step S71, in request stand-by period threshold value, mobile intelligent terminal receives the nearest mist calculation server of network distance and carries
For the intelligent alarm information, health evaluating result and intervening measure of reception；
Step S72, if request is more than stand-by period threshold value, after mobile intelligent terminal confirms the increase response time, intelligent movable
Terminal receives the intelligent alarm information, health evaluating result and intervening measure for being forwarded from cloud data center.
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| CN109862011A (en) * | 2019-02-01 | 2019-06-07 | 华南理工大学 | A kind of environment of internet of things real-time monitoring system calculated based on mist |
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| CN110070943A (en) * | 2019-05-09 | 2019-07-30 | 深圳大学 | Physiological function assessment system and method |
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