CN108289127A - A kind of Internet of things system for Medical Devices comprehensively monitoring - Google Patents
A kind of Internet of things system for Medical Devices comprehensively monitoring Download PDFInfo
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- CN108289127A CN108289127A CN201810092057.7A CN201810092057A CN108289127A CN 108289127 A CN108289127 A CN 108289127A CN 201810092057 A CN201810092057 A CN 201810092057A CN 108289127 A CN108289127 A CN 108289127A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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Abstract
The present invention provides a kind of Internet of things system for Medical Devices comprehensively monitoring, including monitoring system and data collecting system, and the data collecting system includes field data acquisition terminal.Pass through the system arrangement to acquisition terminal, and the error calibration method proposed, efficient, the accurately medical device data acquisition based on Internet of Things is realized, can provide for operator and accurately instruct, information-based intelligent monitor system real-time quantitative " accurate " is checked on.
Description
Technical field
The invention belongs to data collecting fields, and in particular to a kind of Internet of things system for Medical Devices comprehensively monitoring.
Background technology
It is world information industry after computer, internet and mobile radio communication that Internet of Things, which is recognized by the world as,
Tide three times.Internet of Things is the network that realization person to person, people and object, object and object interconnect comprehensively premised on perception.In this back of the body
Afterwards, then it is to be implanted into various microchips on object, the various information of physical world is obtained with these sensors, then passes through office
The various telecommunication network interactions such as wireless network, internet, the mobile radio communication in portion are transmitted, to realize the perception to the world.With
Countries in the world government to the policy inclination of Internet of Things industry and the support energetically of enterprise and input, Internet of Things industry is by urgency
Expediting the emergence of for speed, shows according to data both domestic and external, and Internet of Things has carried out great development from 1999 and penetrated into each so far
Industry field.It is also envisioned that be more and more industry fields and technology, using meeting and Internet of Things generate intersection, to
The transformation optimization of Internet of Things direction has become the developing direction in epoch.
Since the Medical Devices distributed areas for personal medical care and health purpose are wide, distribution density is generally relatively low, need
Realize that real time monitoring, sensor node acquisition, transmission information all need by the system of the structures such as sensor, gateway, cloud server
The energy is consumed, gateway needs constantly to send gathered data to cloud server and cloud server needs to handle largely
Gathered data, to the arrangement of various acquisition system terminals, the mixing of various data, the removal of noise, and the various mistakes brought
Difference brings prodigious challenge to medical data acquisition system, also becomes what current common therapy data collecting system was faced
Problem.
Invention content
In view of the above analysis, the main purpose of the present invention is to provide a kind of Internet of Things for Medical Devices comprehensively monitoring
Net system, including monitoring system and data collecting system, the data collecting system include field data acquisition terminal.Pass through
To the system of acquisition terminal arrangement, and the error calibration method that proposes, efficient, the accurate doctor based on Internet of Things is realized
Treat device data acquisition, can provide for operator and accurately instruct, information-based intelligent monitor system real-time quantitative " accurate "
It closes.
The purpose of the present invention is what is be achieved through the following technical solutions.
A kind of Internet of things system for Medical Devices comprehensively monitoring, including monitoring system and data collecting system, it is described
Monitoring system receives the data information of the data collecting system transmission.
Further, data collecting system include field data acquisition terminal include, error correcting system, ZigBee nets
Network module, field data acquisition terminal, live control manipulation node, operating mechanism, wireless transport module, display module, storage
Module, serial communication modular, clock module, power module, operation module, wherein central processing system respectively with power module,
Error correcting system, wireless transport module, display module, memory module, serial communication modular, clock module, ZigBee-network
Module, live manipulation operation node are connected, and live control manipulation node is also connected with power module, while by corresponding
Operation module is connected with operating mechanism, to realize that the adjusting to medical scene, field data acquisition terminal pass through error school
Positive system is connect with central processing system.The multiple medical environment sensors of the acquisition terminal connection, such as measuring temperature, humidity,
The corresponding sensor such as oxygen concentration and the various parameters of gas concentration lwevel.
Further, the data processing system includes following processing step：
Ambient measurements are obtained by multiple sensors, wherein each sensor is carried out ambient measurements and obtained with some cycles
It takes, the data that different time points measure are denoted as xi, wherein i=1,2,3 ..., often obtain a nearest measured value, all be
Preset measurement limit value of uniting is compared, if measured value exceeds limits, carries out alarm prompt, if measuring number
Value then carries out following steps in limits.
By this measured value xiMake difference successively with measured value before, obtains xi-xm, wherein m=1,2,3 ... i-
1, if the difference of any two of which measured value is no more than error limit, calculated as follows：
Z (m | m-1)=Z (m-1 | m-1)
S (m | m-1)=S (m-1 | m-1)+T
Z (m | m)=Z (m | m-1)+U (m) (x (m)-Z (m | m-1))
Wherein
S (m | m)=(1-U (m)) S (m | m-1)
Wherein, wherein Z is the system mode at m moment, and S (m-1 | m-1) is the most effective value at 1 time points of m-, S (m | m-
1) it is according to the above-mentioned most effective assessed value being worth to, S is the covariance of Z (m | m), and T is the covariance of systematic procedure, U systems
Gain, Q are variance；
It is iterated by above-mentioned formula, you can obtain satisfactory measurement value sensor.If two measurements
When the difference of value is more than error limit, then Bayesian Estimation and wavelet transformation is carried out to measured value or estimated with neural network
Meter,
Finally obtained measured value is calculated as follows：
Wherein, xiFor the measured value after above-mentioned calculating iteration, hiFor corresponding weights, W is final virtual value.
Description of the drawings
Fig. 1 is the Internet of things system for Medical Devices comprehensively monitoring of the present invention.
Wherein 1 is centric acquisition system, and 2 be error correcting system, and 3 be power module, and 4 be live control manipulation node,
5 be display module, and 6 be memory module, and 7 be serial communication modular, and 8 be clock module, and 9 be wireless transport module, and 10 are
ZigBee-network module, 11 be field data acquisition terminal, and 12-16 is respectively environmental sensor, and 17 be operation module, and 18 are
Operating mechanism,
Specific implementation mode
A kind of Internet of things system 100 for Medical Devices comprehensively monitoring, including monitoring system 200 and data acquisition system
System 300, the monitoring system 200 receive the data information of the transmission of the data collecting system 300.
The data collecting system 300 includes that field data acquisition terminal includes 1, error correcting system 2, ZigBee nets
Network module 10, field data acquisition terminal 11, live control manipulation node 4, operating mechanism 18, wireless transport module 9, display
Module 5, memory module 6, serial communication modular 7, clock module 8, power module 3, operation module 17, wherein central processing system
System 1 respectively with power module 3, error correcting system 2, wireless transport module 9, display module 5, memory module 6, serial communication
Module 7, clock module 8, ZigBee-network module 10, live manipulation operation node 4 are connected, live control manipulation node 4
Also it is connected with power module 3, while is connected with operating mechanism 18 by corresponding operating module 17, it is existing to medical treatment to realize
The various adjustings of field, field data acquisition terminal 11 are connect by error correcting system 2 with central processing system 1.The acquisition
Terminal connects 11 and meets multiple medical environment sensor 12-16, such as measuring temperature, humidity, oxygen concentration and gas concentration lwevel
The corresponding sensor such as various parameters.The data processing system includes following processing step：
Ambient measurements are obtained by multiple sensors, wherein each sensor is carried out ambient measurements and obtained with some cycles
It takes, the data that different time points measure are denoted as xi, wherein i=1,2,3 ..., often obtain a nearest measured value, all be
Preset measurement limit value of uniting is compared, if measured value exceeds limits, carries out alarm prompt, if measuring number
Value then carries out following steps in limits.
By this measured value xiMake difference successively with measured value before, obtains xi-xm, wherein m=1,2,3 ... i-
1, if the difference of any two of which measured value is no more than error limit, calculated as follows：
Z (m | m-1)=Z (m-1 | m-1)
S (m | m-1)=S (m-1 | m-1)+T
Z (m | m)=Z (m | m-1)+U (m) (x (m)-Z (m | m-1))
Wherein
S (m | m)=(1-U (m)) S (m | m-1)
Wherein, wherein Z is the system mode at m moment, and S (m-1 | m-1) is the most effective value at 1 time points of m-, S (m | m-
1) it is according to the above-mentioned most effective assessed value being worth to, S is the covariance of Z (m | m), and T is the covariance of systematic procedure, U systems
Gain, Q are variance；
It is iterated by above-mentioned formula, you can obtain satisfactory measurement value sensor.If two measurements
When the difference of value is more than error limit, then Bayesian Estimation and wavelet transformation is carried out to measured value or estimated with neural network
Meter,
Finally obtained measured value is calculated as follows：
Wherein, xiFor the measured value after above-mentioned calculating iteration, hiFor corresponding weights, W is final virtual value.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement etc., should all be included in the protection scope of the present invention made by within refreshing and principle.
Claims (4)
1. a kind of Internet of things system for Medical Devices comprehensively monitoring, which is characterized in that acquired including monitoring system and data
System, the monitoring system receive the data information of the data collecting system transmission.
2. the Internet of things system according to claim 1 for Medical Devices comprehensively monitoring, which is characterized in that data acquire
System includes that field data acquisition terminal includes centric acquisition system, error correcting system, ZigBee-network module, field data
Acquisition terminal, live control manipulation node, operating mechanism, wireless transport module, display module, memory module, serial communication mould
Block, clock module, power module, operation module, wherein central processing system respectively with power module, error correcting system, nothing
Line transmission module, display module, memory module, serial communication modular, clock module, ZigBee-network module, scene manipulation behaviour
It is connected as node, live control manipulation node is also connected with power module, while passing through corresponding operating module and operation machine
Structure is connected, to realize that the adjusting to medical scene, field data acquisition terminal pass through error correcting system and central processing system
System connection.
3. the Internet of things system of Medical Devices comprehensively monitoring is used for as claimed in claim 2, wherein the acquisition terminal connects
Multiple medical environment sensors.
4. being used for the Internet of things system of Medical Devices comprehensively monitoring as claimed in claim 2, the error correcting system is adopted
Error correction includes following processing step：
Ambient measurements are obtained by the multiple sensor, wherein each sensor is carried out ambient measurements and obtained with some cycles
It takes, the data that different time points measure are denoted as xi, wherein i=1,2,3 ..., often obtain a nearest measured value, all be
Preset measurement limit value of uniting is compared, if measured value exceeds limits, alarm prompt is carried out, if measured value
In limits, then following steps are carried out：
By this measured value xiMake difference successively with measured value before, obtains xi-xm, wherein m=1,2,3 ... i-1, such as
The difference of fruit any two of which measured value is no more than error limit, then is calculated as follows：
Z (m | m-1)=Z (m-1 | m-1)
S (m | m-1)=S (m-1 | m-1)+T
Z (m | m)=Z (m | m-1)+U (m) (x (m)-Z (m | m-1))
Wherein
S (m | m)=(1-U (m)) S (m | m-1)
Wherein, wherein Z is the system mode at m moment, and S (m-1 | m-1) is the most effective value at m-1 time points, S (m | m-1) it is root
According to the above-mentioned most effective assessed value being worth to, S is the covariance of Z (m | m), and T is the covariance of systematic procedure, U system gains, Q
For variance；
It is iterated by above-mentioned formula, you can obtain satisfactory measurement value sensor.If two measured values
When difference is more than error limit, then Bayesian Estimation and wavelet transformation is carried out to measured value or is estimated with neural network,
Finally obtained measured value is calculated as follows：
Wherein, xiFor the measured value after above-mentioned calculating iteration, hiFor corresponding weights, W is final effective measured value.
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| CN201810092057.7A CN108289127A (en) | 2018-01-30 | 2018-01-30 | A kind of Internet of things system for Medical Devices comprehensively monitoring |
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Cited By (1)
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| CN109446248A (en) * | 2018-10-15 | 2019-03-08 | 上海嘉实（集团）有限公司 | A kind of floor energy consumption auto report completing and analysis system |
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Application publication date: 20180717 |