CN108550399A - A kind of fetal monitoring early warning system and method - Google Patents
A kind of fetal monitoring early warning system and method Download PDFInfo
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- CN108550399A CN108550399A CN201810232182.3A CN201810232182A CN108550399A CN 108550399 A CN108550399 A CN 108550399A CN 201810232182 A CN201810232182 A CN 201810232182A CN 108550399 A CN108550399 A CN 108550399A
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- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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Abstract
This application involves a kind of fetal monitoring early warning system and methods.The fetal monitoring early warning system includes：Data measurement equipment acquires foetus health data, and by the foetus health data transmission of acquisition to first terminal equipment；First terminal equipment shows foetus health data, and by the foetus health data transmission to Cloud Server；Cloud Server collects medical big data, foetus health prediction and warning model is built according to medical big data, foetus health data are analyzed based on the foetus health prediction and warning model, foetus health status analysis is obtained as a result, and being respectively sent to first terminal equipment and second terminal equipment show by the foetus health status analysis result；And deposited when abnormal in foetus health status analysis result, respectively warning information is sent to first terminal equipment and second terminal equipment.The application realizes the accurate analysis of foetus health situation and the timely discovery and early warning of unusual condition, and sound assurance is provided for foetus health.
Description
Technical field
The application belongs to mother and baby's monitoring technology field, more particularly to a kind of fetal monitoring early warning system and method.
Background technology
Mother and baby's monitoring carries out physiological data monitoring to mother and baby (fetus) simultaneously.With the hair of wireless communication technique
Exhibition technology (CDMA, GPRS and Bluetooth technology etc.) can carry out between data measurement equipment and mobile terminal by radio communication
Medical data transmits, and realizes long distance monitoring.Research of the countries in the world in this field has put into substantial contribution, but is presently mainly
Medical data acquisition is completed using expensive mother and baby's monitor, it is remote then to complete data by PC/internet networks
Journey is transmitted and diagnosis.The electronic fatal monitoring of profession can only be done in hospital at present, and most of hospitals only do in the consulting hours,
Pregnant woman's especially high risk gravida is needed to increase further consultation number, causes the consumption of funds, traffic, energy, muscle power to increase, also makes
The phenomenon that, the difficulty of getting medical service crowded at hospital.There are also producers to produce portable domestic data measurement equipment, but due to cannot and cure
Institute, doctor establish effective interaction, and portable data measurement equipment does not play substantive effect, lack effective medical valence
Value.
Invention content
This application provides a kind of fetal monitoring early warning system and methods, it is intended to solve existing skill at least to a certain extent
One of above-mentioned technical problem in art.
To solve the above-mentioned problems, this application provides following technical solutions：
A kind of fetal monitoring early warning system, including data measurement equipment, first terminal equipment, Cloud Server and second terminal
Equipment；The data measurement equipment is used to acquire foetus health data, and eventually by the foetus health data transmission of acquisition to first
End equipment；The first terminal equipment is for showing foetus health data, and by the foetus health data transmission to cloud service
Device；The Cloud Server builds foetus health prediction and warning model for collecting medical big data, according to medical big data, is based on
The foetus health prediction and warning model analyzes foetus health data, obtains foetus health status analysis as a result, and will
The foetus health status analysis result is respectively sent to first terminal equipment and second terminal equipment be shown；And judge
Foetus health status analysis result is with the presence or absence of exception, if there is exception, then respectively to first terminal equipment and second terminal
Equipment sends warning information.
The technical solution that the embodiment of the present application is taken further includes data collection module, and the data collection module is for collecting
Medical big data；The medical treatment big data collects channel and includes：Inside the relevant medical information data of the Ministry of Public Health, medical institutions altogether
Enjoy the relevant medical data in information data, internet, the relevant medical information in international hygiene portion, other information data-interface, net
Page version logging data and terminal device logging data.
The technical solution that the embodiment of the present application is taken further includes intelligent analysis module, and the intelligent analysis module is for using
Data analysis technique analyzes the medical big data of collection, and valuable data are extracted from medical big data；It is described
Data analysis technique includes that decision Tree algorithms, neural network algorithm, cluster algorithm, timing alorithm and expert physician analyze calculation
Method.
The technical solution that the embodiment of the present application is taken further includes model construction module, and the model construction module is used for basis
The data of intelligent analysis module extraction build foetus health prediction and warning model；The foetus health prediction and warning model includes tire
Mathematical model, the mathematical modulo of the mathematical model of FHR variability, uterine contraction curve of mathematical model, Fetal Heart Rate deceleration that heart rate accelerates
Type, Fetal Heart Rate smoothed curve model, uterine contraction smoothed curve model and other relevant mathematical models.
The technical solution that the embodiment of the present application is taken further includes prediction and warning module, and the prediction and warning module is used for the
The foetus health data of one terminal device transmission input foetus health prediction and warning model, pass through foetus health prediction and warning model
Corresponding foetus health status analysis is exported after analyzing foetus health data as a result, and by foetus health status analysis knot
Fruit is respectively sent to first terminal equipment and second terminal equipment；Meanwhile judging that foetus health status analysis result whether there is
It is abnormal, if there is exception, then warning information is sent to first terminal equipment and second terminal equipment respectively.
The technical solution that the embodiment of the present application is taken further includes data memory module, and the data memory module is used to be tire
Youngster establishes corresponding database, and history foetus health data and foetus health status analysis result are stored in corresponding data
In library.
The technical solution that the embodiment of the present application is taken further includes info push module, and described information pushing module is for using
Geographical location where LBS technical limit spacing first terminal equipment, the geographical location where first terminal equipment are whole to first
End equipment sends value added service information, and the value added service information includes attachment medical center information and/or Weather information.
The technical solution that the embodiment of the present application is taken further includes data management module, and the data management module includes relationship
Type and non-relational data management module, data fusion module, data integration module, data extraction module and data filter module
Block.
The technical solution that the embodiment of the present application is taken further includes data sharing module, and the data sharing module is for providing
Foetus health archives, health statistics report, foetus health consulting, foetus health education, foetus health prevents, foetus health is controlled
It treats, pregnant woman exchanges group, mother and baby's food encyclopaedia, foetus health shares and terminal unit management function.
Another technical solution that the embodiment of the present application is taken is：A kind of fetal monitoring method for early warning, including：
Step a：Foetus health data are acquired by data measurement equipment, and by the foetus health data transmission of acquisition to the
One terminal device；
Step b：Foetus health data are shown by first terminal equipment, and by foetus health data transmission to cloud service
Device；
Step c：Medical big data is collected by Cloud Server, foetus health prediction and warning mould is built according to medical big data
Type analyzes foetus health data based on the foetus health prediction and warning model, obtains foetus health status analysis knot
Fruit, and foetus health status analysis result is respectively sent to first terminal equipment and second terminal equipment show；
Step d：Judge foetus health status analysis result with the presence or absence of exception, if there is exception, respectively eventually to first
End equipment and second terminal equipment send warning information.
Compared with the existing technology, the advantageous effect that the embodiment of the present application generates is：The fetal monitoring of the embodiment of the present application
Early warning system and method measure the data such as fetus Fetal Heart Rate, movement of the foetus, uterine contraction by building data measurement equipment, with intelligent movable end
Data transmission is realized at end, is uploaded to cloud service platform and is carried out data analysis, obtains foetus health status analysis as a result, returning to use
The integrated fetal monitoring early warning cloud service platform of family and affiliated doctor, utilize the metric data such as fetus fetal rhythm, movement of the foetus, uterine contraction
The combined influence to health status between each parameter is furtherd investigate in library, according to foetus health prediction and warning algorithm, builds foetus health
Prediction and warning model realizes the accurate analysis of foetus health situation and the timely discovery and early warning of unusual condition, is foetus health
Sound assurance is provided.
Description of the drawings
Fig. 1 is the structural schematic diagram of the fetal monitoring early warning system of the embodiment of the present application；
Fig. 2 is the network construction frame diagram of the embodiment of the present application；
Fig. 3 is load-balancing technique schematic diagram；
Fig. 4 is that cloud pushes architectural framework figure；
Fig. 5 is the flow chart of the fetal monitoring method for early warning of the embodiment of the present application.
Specific implementation mode
It is with reference to the accompanying drawings and embodiments, right in order to make the object, technical solution and advantage of the application be more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only to explain the application, not
For limiting the application.
Referring to Fig. 1, being the structural schematic diagram of the fetal monitoring early warning system of the embodiment of the present application.The embodiment of the present application
Fetal monitoring early warning system includes data measurement equipment, first terminal equipment, Cloud Server and second terminal equipment.Wherein, number
It is connect with first terminal equipment according to measurement equipment, first terminal equipment is connected with each other with second terminal equipment, and first terminal is set
Standby and second terminal equipment is connect with Cloud Server respectively.Data measurement equipment will be acquired for acquiring foetus health data
Foetus health data transmission to first terminal equipment carry out real-time display, meanwhile, by first terminal equipment by foetus health
Data transmission is to Cloud Server；Cloud Server builds foetus health prediction for collecting medical big data, according to medical big data
Early-warning Model analyzes the foetus health data of acquisition based on foetus health prediction and warning model, obtains foetus health shape
Condition analysis result, and foetus health status analysis result is respectively sent to first terminal equipment and the progress of second terminal equipment
Display；Meanwhile foetus health status analysis result is judged with the presence or absence of exception, if there is exception, then respectively to first terminal
Equipment and second terminal equipment send warning information.First terminal equipment and second terminal equipment can establish communication and carry out remotely
Interaction carries out long distance monitoring and relief to fetus.
In the embodiment of the present application, data measurement equipment includes the custodial care facilities such as foetus ECG monitor, data measurement equipment and
The connection type of one terminal device includes but not limited to the wireless connections such as wired connection or bluetooth, WiFi；In acquisition foetus health
Before data, data measurement equipment is connect first with first terminal equipment, fetal rhythm, tire are then acquired by data measurement equipment
The foetus healths data such as dynamic, uterine contraction, and by the foetus health data of acquisition with the low-power consumption modes such as bluetooth, WIFI real-time Transmission extremely
First terminal equipment is shown.
In the embodiment of the present application, first terminal equipment and second terminal equipment are respectively smart mobile phone, tablet computer, PC etc.
Intelligent electronic device, first terminal equipment and second terminal equipment and the connection type of Cloud Server include but not limited to bluetooth,
The radio connections such as WiFi, mobile communication.
In the embodiment of the present application, Cloud Server utilizes the foetus healths data such as fetus fetal rhythm, movement of the foetus, uterine contraction, further investigation
To the combined influence of foetus health situation between each parameter, foetus health prediction and warning is built according to foetus health prediction and warning algorithm
Model is realized the accurate analysis of foetus health situation and the timely discovery and early warning of unusual condition, is provided effectively for baby's health
Guarantee.
Specifically, Cloud Server includes data collection module, intelligent analysis module, model construction module, prediction and warning mould
Block, data memory module, info push module, data management module and data sharing module；
Data collection module is used for by collecting medical big data by all kinds of means；Wherein, the collection channel packet of medical big data
Include the relevant medical information data of the Ministry of Public Health, medical institutions' intra-sharing information data, the relevant medical data in internet, the world
The relevant medical information of the Ministry of Public Health, other information data-interface, the logging data of webpage version and various terminal equipment logging data
Deng.The information wherein contained is various and abundant, lays a good foundation for the intellectual analysis of intelligent analysis module.
Intelligent analysis module is for analyzing the medical big data of collection using data analysis technique, from medical big number
Valuable data are extracted in, so that model construction module builds foetus health prediction and warning model；Wherein, intellectual analysis
The data analysis technique that module uses includes decision Tree algorithms, neural network algorithm, cluster algorithm, timing alorithm and expert
Doctor's parser etc..
Model construction module is used to build foetus health prediction and warning model according to the data that intelligent analysis module is extracted；Its
In, foetus health prediction and warning model includes the mathematical model of Fetal Heart Rate acceleration, the mathematical model of Fetal Heart Rate deceleration, Fetal Heart Rate change
Mathematical model, Fetal Heart Rate smoothed curve model, uterine contraction smoothed curve model and other phases of different mathematical model, uterine contraction curve
The mathematical model of pass.
The foetus health data that prediction and warning module is used to transmit first terminal equipment input foetus health prediction and warning
Model exports corresponding foetus health situation point after being analyzed foetus health data by foetus health prediction and warning model
Analysis by foetus health status analysis result as a result, and be respectively sent to first terminal equipment and second terminal equipment；Meanwhile judging
Foetus health status analysis result is with the presence or absence of exception, if there is exception, then respectively to first terminal equipment and second terminal
Equipment sends warning information, and first terminal equipment and second terminal equipment can establish communication progress far after receiving warning information
Journey interacts, and emergency aid and treatment is carried out to fetus.
Data memory module is used to establish corresponding database for each fetus, and history foetus health data and fetus are good for
Health status analysis result is stored in corresponding database, so as to access such as the doctors and family members of hospital or community, understands tire
The health condition of youngster and other relevant health services (such as foetus health education, foetus health encyclopaedia, exchange group etc.).
Info push module is used to use LBS, and (location based service refers to the radio by telecommunications mobile operator
Communication network or external positioning method, obtain the location information of mobile terminal user, under the support of GIS platforms, are carried for user
For a kind of value-added service of respective service) geographical location where technical limit spacing first terminal equipment, according to first terminal equipment
The geographical location at place sends value added service information to first terminal equipment, and value added service information includes but not limited to attachment medical treatment
Point information and/or Weather information (such as heavy rain, typhoon etc.) etc., user can in case of emergency believe according to attachment medical center
Breath is checked nearby, or when long-range relief does not prove effective, the doctor of second terminal equipment can be according to where first terminal equipment
Geographical location, the medical center medical staff for notifying nearby visits co-treatment, tries to gain time precious to one for fetus treatment；And day
Gas information may remind the user that reduction is outgoing, to avoid the generation of contingency.
Data management module includes relationship type and non-relational data management module, data fusion module, data integration mould
Block, data extraction module and data filtering module, platform data progress is effectively stored by data management technique, is handled,
Inquiry and analysis, realization extracted from medical big data with valuable data, pregnant woman can be allowed to obtain more true fetus
Health condition can also assist some clinician to make more science and accurately diagnosis and medication decision, or help some
Hospital is according to the completely new personalized service of patient's potential requirement exploitation and automation services, it might even be possible to related research institutes be helped to break through
Medical method and drug innovation or supporting region even national medical industry authorities optimization medical resource and service configuration,
Unprecedented strong backing is provided.
Data sharing module is for providing foetus health archives, health statistics report, foetus health consulting, foetus health religion
It educates, foetus health prevents, foetus health is treated, pregnant woman exchanges group, mother and baby's food encyclopaedia, foetus health are shared, terminal device pipe
The functions such as reason, provide comprehensive health data to the user.
Referring to Fig. 2, being the network construction frame diagram of the embodiment of the present application.The application is using advanced design concept and deposits
Storage technology, be convenient for system expansion, can be easy in super large user volume promoted arrive cloud computing and cloud storage platform, realize the whole nation with
And the individual health data in the whole world is shared.The access for bearing multiple terminal equipment, tracking, prevention to a variety of individual health datas
And the network capabilities for the treatment of.
(1) network construction follows principle：
Ethical rule：According to the principle of " master-plan is implemented step by step ", soft project must standardize, it then follows international
General exploitation standard, and executed by national standard and professional standard.Integration project demand forms interface specification, data standard, answers
With specifications such as system access.
Reliability principle：The open platform open to the public as one, it is necessary to assure system under long-term large scale accessing
Stability, availability and runnability, avoid Single Point of Faliure and key message from losing.
Autgmentability principle：System should use modularization, the architecture of modularization, be protected on Technical Architecture and design pattern
The continuity of card technology, flexible autgmentability and extensive adaptability, it is ensured that system disclosure satisfy that user in data and business work(
Demand in terms of energy extension.
Open principle：Opening is fully considered during content module design and online realize, convenient for content in the future
Maintenance and expansion, while to fully consider and the existing back office interface in website and secondary development.
Ease for use principle：General user's website visiting is accustomed to and is required, and the page layout of flexible easy-to-use hommization, friend are provided
Good human-computer interaction interface.
Safe and secret principle：Have unified perfect multilevel security mechanism setting, rigorous user authority management solution party
Case refuses disabled user and validated user unauthorized operation, avoids system data from being destroyed, system data is prevented to be stolen and usurp
Change.
Compatible principle：Exploitation meets WEB2.0 standards, light-type programming model, abundant user experience, compatibility
Major browsers.
(2) MVC design pattern
It is enforceable to make the input of application program, handle and export separately using MVC design pattern, it is divided into three cores
Component：Model, view, controller, each handle the task of oneself.Be easy to extend and safeguard, independently of operating system and
Database platform.
(3) oriented object development method
In software development technique, oriented object development technology becomes current mainstream.The construction of this platform with open
Hair will use Object-Oriented Software Engineering method.
(4) application of service-oriented software architecture (SOA)
According to the public property of platform and basic feature, system software architecture will use service-oriented software frame as far as possible
Structure SOA (Service-Oriented Architecture).System is provided pair as far as possible during systematic design idea
The function of application of outer service encapsulates and is issued as Web service (Web Service), by service registration and service catalogue,
Web service is provided to service consumer (various assemblies or the application system of department), makes the function of system that loose coupling may be used
Mode realize it is integrated, and make platform provide function services have scalability.
(5)AJAX
Using a large amount of AJAX webpages interactive development technology.AJAX is required using can only send and fetch to server
Data, it use SOAP or some other web service interface based on XML, and client use JavaScript
Handle the response from server.Therefore the data exchanged between server and browser largely reduce, while many places
Science and engineering work can be completed on the client machine for send out request, greatly reduce the processing time of Web server, improve response speed
Degree.
Using the great advantage of AJAX, data can be exactly safeguarded under the premise of not updating full page.This makes Web answer
With program it is more fast respond user action, and avoid and send those information not changed on network.
(6) unified basic platform and application platform
This system fully takes into account the business needs of each community and hospital, fully ensures that the shared and function of data is mutually grasped
Make.Meanwhile platform will also have good maintainable and autgmentability.Therefore, this system uses unified basic platform.Including
Operating system platform, database platform, GIS platform and application platform.Using the unified platform, it is unnecessary to can avoid
The conversion of inter-system data, the interface of function and system upgrade a large amount of maintenance workload when extending, ensure the one of system
Cause property and stability.
Public cloud and private clound construction
1, privately owned Cloud Server construction
The needs of acquisition and storage change based on mother and baby's monitoring data safely and effectively control data and service setting,
Service platform is provided for the acquisition of this project data and storage strategy implementation.Privately owned Cloud Server has the spy of flexibility and safety
Point, the important personal data of mother and baby, which is stored in private clound, to be very important, and can ensure the safety and private of data
Close property, and ensure the absolute control of mother and baby's critical data.
1) to unified calculation platform planning
Privately owned Cloud Server is built, the first step is first to unify the indoor computing platform of project research.Then it is studied
Indoor hardware product platform integrates, and it is certain that the hardware such as storage, server, the network possessed at present are bundled progress
Instruction, realize the compatibility of all hardware.It is then desired to studying indoor platform there are one clearly planning, integrate new and old
Resource and new and old solution.
2) existing IT resources are integrated
So that existing IT resources obtain most efficiently integrating, it is the essential meaning of cloud computing.Therefore, privately owned Cloud Server
Building needs, integrated project studies indoor computer resource to greatest extent, it is ensured that resource is not in the process of construction of private clound
There is unnecessary waste.Meanwhile the memory space of mother and baby's monitoring data the case where not wasting yet, it can be as more as possible
Ground stores its data.
It 3) can elastic space and scalability assessment
Most basic one of the essential characteristic of cloud computing is that realization need to be used, flexibly and efficiently uses IT resources.Therefore right
For deployment cloud computing platform, the real demand to elastic space and scalability just must take into consideration.This requires private clound to take
The construction of business device is while in view of the storage demand of mother and baby's monitoring data at this stage, it is also desirable to be supervised after evaluation item development
The total amount size of measured data and the demand to private cloud storage capacity.Ensure the privately owned Cloud Server there are one it is good can bullet
Property space and expansibility, to cope with the expansion demand of system.
2, publicly-owned Cloud Server construction
By and non-key mother and baby's monitoring data be stored in public cloud, can effectively reduce data storage cost
With, and will not relate to the safety issue of critical data leakage.Publicly-owned Cloud Server is built mainly by providing cloud
The cloud storage product that the Internet enterprises of service are released, the Cloud Server provided using it, one specific environment of progress
It builds.
Publicly-owned Cloud Server is built in the development cost for reducing the application system, while also being solved mother and baby and being monitored number
According to a large amount of storages the problem of.It can help privately owned Cloud Server to share storage pressure, improve monitoring data storage can
Expansion.
Technology path：
Cloud platform design needs to meet：One, meet the demand that the high efficiency of mass data stores and accesses, possess people up to a million
Mouthful and the tidal data recovering of upper hundred medical institution regionals together with, data and are advised in the trend of sustainable growth according to medical industry
Fixed 50 years long-times retain；Two, it is simple and efficient：There can be a large amount of online or real-time data analysis processing in medical information service
Demand, it is necessary to the accurate health and fitness information and the major disease high risk factor for quickly excavating user realizes prediction and warning function；
Three, the processing capacity of server can elastic telescopic, determine the demand calculation amount of server according to practical business demand, reduce exploitation fortune
The difficulty and entirety IT costs of dimension.
Server cluster load-balancing technique
Load balancing is established on existing network infrastructure, and a kind of cheap, effective, transparent method extended network equipment is provided
With server bandwidth, increase handling capacity, Strengthens network data-handling capacity, the flexibility for improving network and reliability.Server
Cluster load balance refers to the application of flow load between Servers-all and application program in server zone.Load-balancing technique can
According to using equipment to be divided into software load equilibrium and hardware load equilibrium, as shown in figure 3, being load-balancing technique schematic diagram.
Influencing load balancing has 3 key factors, is the grain of load-balancing algorithm, network topology and load balancing respectively
Degree.
For load-balancing algorithm from can be generally divided into stateless scheduling and stateful two kinds of scheduling, stateless scheduling refers to not
Consider current loading condition current between all connection status and each node.Stateful dispatching algorithm is worked as using a table record
Preceding all connections, according to certain regular distribution task.Current effective load-balancing algorithm has：Based on dynamical feedback
Load-balancing algorithm, it is proposed that a kind of transparent dynamic feedback of load balancing technique, the algorithm introduce one load redundancy, both examined
The remaining node processing power for considering server node, it is further contemplated that the currently practical load of each background server, it is also contemplated that
Load balancing between some period.System use a main Linux server LinuxVirtualServer, LVS with it is each
A server node establishes TCP connection steady in a long-term, and maintains one and record each node load information table.LVS is in addition to tool
Having outside client's request queue, also two queues of load information and redundancy, the former presses the load weight of each server node,
Descending stores each server node number (ID) and weights Wi；The latter is used to store between two timeslices sometime to come
After new task request, by each server node load amount of redundancy Di descendings arrangement server node number and corresponding load redundancy
Amount, the load distributed with each server node that task requests of newly arriving between two timeslices are adjusted convenient for algorithm dynamic are equal
Weighing apparatus property.The algorithm synthesis cpu load, memory load and I/O utilization rates obtain the real load of node.Feedback regulation is according to node
Loading condition and feedback carry out load regulation, improve cluster utilization rate.Load-balancing algorithm based on multi-parameter proposes one
Load-balancing algorithm of the kind based on multi-parameter only considers that CPU queuings situation is different from traditional algorithm, which is based on distributed take
Business device cluster, wherein the parameter that each node has used some different, as cpu load, network load and memory use.According to
Node is divided into 4 grades by current load situation：Vacant (idle), not busy (low), medium (normal) and do (high).To every
For a node, cpu busy percentage (cpu-u), cpu queue length (nr), memory usage (mem-u) and network load
(net-u) it will be taken into account, for determining that the node is in which of 4 grades.When there is new request to arrive,
If present node is vacant, request is received and processed by present node.Next selection is any one other vacant section
Point.If present node is in busy state, next selection is the node of a low-load.If above-mentioned condition does not select
An out node, this request will be received by present node.It is obtained by test, the overall performance ratio of algorithm is based purely on
The algorithm superior 43.5% of CPU queue lengths.Only in three parameters, cpu busy percentage, network load and memory usage are all
The algorithm based on cpu queue length is just better than this algorithm in the case of very low.It is used when having relatively large load and memory in network
When larger, this algorithm has preferable performance.
Based on Redis+MySQL storage architectures
Redis (Remote Dictionary Server) is a Key- to increase income developed using ANSI C
Value storage systems, it is similar with Mem cached more popular at present, is all based on the data storage side of memory (caching)
Formula, the difference is that the data type that Redis is supported more is enriched and provides abundant operation to each data structure.Together
When, Redis be different from being in place of Mem cached it can by newer data it is asynchronous be persisted in hard disk or into
In the modification operation write-in journal file gone.Although Redis is the database of Key/Value forms, but it absorbs portion
The advantages of dividing relevant database, such as while can preserve the data of Lists and Sets types, moreover it is possible to it is advanced to complete sequence etc.
Function, while ensureing its operation when realizing the functions such as INCR (from increasing), SETNX (if there is no created if Key and set value)
Atomicity.It is synchronous that Master-Slave (principal and subordinate) is also achieved on this basis.Redis leader follower replication features：1) one is supported
A Master can possess multiple Slave, while Slave can also receive other Slave；2) leader follower replication will not block
Master and Slave, in synchrodata, Master and Slave can receive Client requests.
MySQL is a Relational DBMS write using C and C++, is opened by MySQLAB companies of Sweden
Hair, belongs to company under Oracle at present.It is most popular Relational DBMS, is most in terms of WEB application
Good RDBMS (Relational Database Management System, relational database management system) application software.
MySQL is saved the data in different tables, rather than all data are placed in one big warehouse, is increased speed and is improved
Flexibility.
Redis+MySQL framework corresponding function roles are as follows：Redis is based on memory cache, preserves cluster center meeting
Massage set is retransmitted in words, instant messaging deferred information queue, instant messaging, and User Token life cycle management is visited using high frequency
Ask data buffer storage, HTML5 template datas caching, static application caching resource.MySQL：Carry out Transaction Information storage：Close enterprise's account
Number, enterprise's conversational traffic data, enterprise platform transaction data.
Based on ssl protocol
Ssl protocol is located at HTTP layers between TCP layer, establishes the coded communication between user and server, it is ensured that passed
Pass the safety of information.SSL is operated on the basis of public keys and private key, and any user can obtain public close
Key carrys out encryption data, but ciphertext data has to through corresponding private key.After establishing SSL security mechanisms, only SSL permits
Perhaps client could communicate with the SSL Web sites allowed, and when using URL resource localizers, input https,
Rather than http.Our used http protocols are no any encryption measures under default situations, and all message is whole
It is all transmitted on network with plaintext version, the attacker of malice can obtain we and service by installing oracle listener
Content of communciation between device.
A SSL not instead of single agreement, is made of multiple agreements, including SSL record protocols, SSL shake hands association
View, SSL modification ciphertext stipulations agreement, SSL alert agreement, and SSL record protocols provide basic security service for upper-layer protocol.It is special
Be not the http protocol of transmission service is provided for the interaction of Web client/server can be in upper access SSL, and upper-layer protocol
It is responsible for being managed SSL exchanges.
Ssl protocol is built upon on the basis of TCP, rather than UDP.This guarantees the reliability of data transmission and completely
Property.So specific ssl protocol is how to ensure the safety of Web serverThere is the clear of SSL functions when client uses
Device (such as IE browser) and Web server are look at when communicating, can mainly carry out following steps to ensure communication safety.First
C/S both sides carry out authentication.By exchanging respective digital certificate, authentication is carried out to client and server, it is ensured that
It is connected to correct website.Then user end to server sends close by 48 masters of public-key encryption in cert services
Key, server are decrypted using itself private cipher key pair master key.
According to test, when the SSL sessions of processing safety, the Web server of standard can only handle 1%~10% normal and bear
It carries.Big data epoch, server reaction speed are most important.Ssl protocol so how to be solved in the session initiation stage to service
Device resource occupation is excessive, and the problem of influencing whole system efficiency then seems extremely important.
Big flow function calculating in ssl protocol is transferred out of network server by SSL accelerators, all encrypted by SSL
When data flow passes through SSL accelerators, encrypted data flow can all be decrypted and then just be transferred to server, on the other hand by taking
Business device sends out after SSL data flows are then encrypted by SSL accelerators and is transmitted to client.
Cloud push technology and LBS
Intelligent mobile terminal service system realizes that relevant business is sent to intelligent mobile terminal by platform cloud server,
Including emergency call service, healthy short message service, Health information service etc..Data transmission is taken to high in the clouds with intelligent mobile terminal
Business device is the process of a contrary.For the burden for mitigating cloud server and better user experience, cloud push technology is used
And LBS.
1) cloud push refer in the terminal, using the middleware of the more bottom than APP application program come be uniformly processed with
The connection of network side replaces other application software and network side to carry out information exchange, other application software using middleware
It even need not all open, when having newer message, middleware can be delivered to corresponding application software.It is equivalent on mobile terminal
The software for only existing one and network side progress information exchange so has significantly the electric quantity consumption of mobile terminal
Improve.Cloud push technology has built the push channel between a network server and APP application programs, realizes and is used in terminal
In the case that family allows, by server directly by all mobile phones such as the required text of user, update, picture, video, music
Supported program directly pushes in client mobile phone, specific as shown in figure 4, pushing architectural framework figure for cloud.
Referring to Fig. 5, being the flow chart of the fetal monitoring method for early warning of the embodiment of the present application.The fetus of the embodiment of the present application
Monitoring and pre-alarming method includes the following steps：
Step 100：Foetus health data are acquired by data measurement equipment, and extremely by the foetus health data transmission of acquisition
First terminal equipment；
Step 200：By first terminal equipment real-time display foetus health data, and by foetus health data transmission to cloud
Server；
Step 300：Medical big data is collected by Cloud Server, foetus health prediction and warning is built according to medical big data
Model；
Step 400：The foetus health data that first terminal equipment is transmitted input foetus health prediction and warning model, pass through
Foetus health prediction and warning model analyzes foetus health data, obtains foetus health status analysis as a result, and by fetus
Analysis on the health status result is respectively sent to first terminal equipment and second terminal equipment be shown；
Step 500：Foetus health status analysis result is judged with the presence or absence of abnormal, if there is exception, then respectively to the
One terminal device and second terminal equipment send warning information；
Step 600：First terminal equipment and second terminal equipment establish communication according to warning information and carry out remote interaction, right
Fetus carries out long distance monitoring and relief.
The fetal monitoring early warning system and method for the embodiment of the present application measure fetus fetal rhythm by building data measurement equipment
The data such as rate, movement of the foetus, uterine contraction realize data transmission with mobile intelligent terminal, are uploaded to cloud service platform and carry out data analysis, obtain
Go out foetus health status analysis as a result, returning to the integrated fetal monitoring early warning cloud service platform of user and affiliated doctor, profit
With the metric data such as fetus fetal rhythm, movement of the foetus, uterine contraction library, the combined influence to health status between each parameter is furtherd investigate, according to tire
Youngster's health forecast warning algorithm builds foetus health prediction and warning model, realizes accurate analysis and the exception of foetus health situation
The timely discovery and early warning of situation, sound assurance is provided for foetus health.
The foregoing description of the disclosed embodiments enables professional and technical personnel in the field to realize or use the application.
Various modifications to these embodiments will be apparent to those skilled in the art, as defined herein
General Principle can in other embodiments be realized in the case where not departing from spirit herein or range.Therefore, the application
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest range caused.
Claims (10)
1. a kind of fetal monitoring early warning system, which is characterized in that including data measurement equipment, first terminal equipment, Cloud Server
With second terminal equipment；The data measurement equipment is passed for acquiring foetus health data, and by the foetus health data of acquisition
Transport to first terminal equipment；The first terminal equipment is passed for showing foetus health data, and by the foetus health data
Transport to Cloud Server；The Cloud Server builds foetus health prediction in advance for collecting medical big data, according to medical big data
Alert model, analyzes foetus health data based on the foetus health prediction and warning model, obtains foetus health situation point
Analysis by the foetus health status analysis result as a result, and be respectively sent to first terminal equipment and the progress of second terminal equipment
Display；And foetus health status analysis result is judged with the presence or absence of exception, if there is exception, then respectively to first terminal equipment
Warning information is sent with second terminal equipment.
2. fetal monitoring early warning system according to claim 1, which is characterized in that the Cloud Server includes data collection
Module, the data collection module is for collecting medical big data；The medical treatment big data collects channel and includes：The Ministry of Public Health is related
Medical information data, medical institutions' intra-sharing information data, the relevant medical data in internet, international hygiene portion it is relevant
Medical information, other information data-interface, the logging data of webpage version and terminal device logging data.
3. fetal monitoring early warning system according to claim 2, which is characterized in that the Cloud Server further includes intelligence point
Module is analysed, the intelligent analysis module is for analyzing the medical big data of collection using data analysis technique, from medical treatment
Valuable data are extracted in big data；The data analysis technique includes decision Tree algorithms, neural network algorithm, cluster point
Analyse algorithm, timing alorithm and expert physician's parser.
4. fetal monitoring early warning system according to claim 3, which is characterized in that the Cloud Server further includes model structure
Block is modeled, the model construction module is used to build foetus health prediction and warning mould according to the data that intelligent analysis module is extracted
Type；The foetus health prediction and warning model includes the mathematical model of Fetal Heart Rate acceleration, the mathematical model of Fetal Heart Rate deceleration, fetal rhythm
Rate variation mathematical model, the mathematical model of uterine contraction curve, Fetal Heart Rate smoothed curve model, uterine contraction smoothed curve model and its
His relevant mathematical model.
5. fetal monitoring early warning system according to claim 4, which is characterized in that the Cloud Server further includes that prediction is pre-
Alert module, the foetus health data input foetus health prediction that the prediction and warning module is used to transmit first terminal equipment are pre-
Alert model, exports corresponding foetus health situation after being analyzed foetus health data by foetus health prediction and warning model
Analysis result, and foetus health status analysis result is respectively sent to first terminal equipment and second terminal equipment；Meanwhile sentencing
Disconnected foetus health status analysis result is with the presence or absence of exception, if there is exception, then whole to first terminal equipment and second respectively
End equipment sends warning information.
6. fetal monitoring early warning system according to any one of claims 1 to 5, which is characterized in that the Cloud Server is also
Including data memory module, the data memory module is used to establish corresponding database for fetus, and by history foetus health
Data and foetus health status analysis result are stored in corresponding database.
7. fetal monitoring early warning system according to claim 6, which is characterized in that the Cloud Server further includes that information pushes away
Module, described information pushing module is sent to be used for using the geographical location where LBS technical limit spacing first terminal equipment, according to first
Geographical location where terminal device sends value added service information to first terminal equipment, and the value added service information includes attachment
Medical center information and/or Weather information.
8. fetal monitoring early warning system according to claim 7, which is characterized in that the Cloud Server further includes data pipe
Module is managed, the data management module includes relationship type and non-relational data management module, data fusion module, data integration
Module, data extraction module and data filtering module.
9. fetal monitoring early warning system according to claim 8, which is characterized in that the Cloud Server further includes that data are total
Module is enjoyed, the data sharing module is seeked advice from for providing foetus health archives, health statistics report, foetus health, fetus is strong
Kang Jiaoyu, foetus health prevent, foetus health treatment, pregnant woman's exchange group, mother and baby's food encyclopaedia, foetus health shares and terminal is set
Standby management function.
10. a kind of fetal monitoring method for early warning, including：
Step a：Foetus health data are acquired by data measurement equipment, and eventually by the foetus health data transmission of acquisition to first
End equipment；
Step b：Foetus health data are shown by first terminal equipment, and by foetus health data transmission to Cloud Server；
Step c：Medical big data is collected by Cloud Server, foetus health prediction and warning model is built according to medical big data,
Foetus health data are analyzed based on the foetus health prediction and warning model, obtain foetus health status analysis as a result,
And foetus health status analysis result is respectively sent to first terminal equipment and second terminal equipment show；
Step d：Judge that foetus health status analysis result with the presence or absence of exception, if there is exception, is set to first terminal respectively
Standby and second terminal equipment sends warning information.
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