CN108668255A - Medical environment intelligence control system - Google Patents
Medical environment intelligence control system Download PDFInfo
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- CN108668255A CN108668255A CN201810870204.9A CN201810870204A CN108668255A CN 108668255 A CN108668255 A CN 108668255A CN 201810870204 A CN201810870204 A CN 201810870204A CN 108668255 A CN108668255 A CN 108668255A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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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
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/04—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
- H04W40/10—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources based on available power or energy
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/24—Connectivity information management, e.g. connectivity discovery or connectivity update
- H04W40/32—Connectivity information management, e.g. connectivity discovery or connectivity update for defining a routing cluster membership
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
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Abstract
The present invention provides medical environment intelligence control systems, including radio sensor network monitoring subsystem, base station equipment and the environmental Kuznets Curves subsystem communicated to connect successively;The radio sensor network monitoring subsystem includes multiple sensor nodes being deployed in default medical unit monitoring region, the environment that sensor node is configured as monitoring region to presetting medical unit is monitored, the environmental parameter of sensor node acquisition is ultimately delivered to base station equipment, and then the environmental parameter received is transmitted to environmental Kuznets Curves subsystem by base station equipment;The environmental Kuznets Curves subsystem includes data processing equipment and control device, the control device is connect with multiple environment conditioning equipment, the data processing equipment is configured as analyzing all environmental parameters, and corresponding control instruction is exported to the control device when environmental parameter exceeds preset threshold range;The control device controls corresponding environment conditioning equipment according to the control instruction and runs.
Description
Technical field
The present invention relates to medical monitoring arts, and in particular to medical environment intelligence control system.
Background technology
Wireless sensor network is a kind of special wireless self-organization network, by a large amount of sensor, perception, acquisition, place
Information in reason and transmission network overlay area, and it is sent to network ownership.It need not be very high transmission bandwidth, only need to be compared with
Low propagation delay time and low power consumption, nodes are numerous, widely distributed, disclosure satisfy that various miniaturization low costs are set
The Wireless Networking requirement of standby (such as temperature-adjusting device, lighting controller, environmental detection sensor), can be widely used in work
In industry, agricultural, medical treatment and daily life.
In hospital ward, since the anti-epidemic system of patient is weaker, in poor environment, easily cause the exacerbation of disease with
It infects, it is therefore desirable to which monitoring in real time and regulation and control are carried out to medical unit.
Invention content
In view of the above-mentioned problems, the present invention provides medical environment intelligence control system.
The purpose of the present invention is realized using following technical scheme:
Medical environment intelligence control system is provided, including the radio sensor network monitoring subsystem communicated to connect successively
System, base station equipment and environmental Kuznets Curves subsystem;The radio sensor network monitoring subsystem includes multiple being deployed in default doctor
Treat ward monitoring region in sensor node, sensor node be configured as to preset medical unit monitor region environment into
The environmental parameter of row monitoring, sensor node acquisition is ultimately delivered to base station equipment, and then the ring that will be received by base station equipment
Border parameter is transmitted to environmental Kuznets Curves subsystem;The environmental Kuznets Curves subsystem includes data processing equipment and control device, described
Control device is connect with multiple environment conditioning equipment, and the data processing equipment is configured as dividing all environmental parameters
Analysis exports corresponding control instruction to the control device when environmental parameter exceeds preset threshold range;The control dress
It sets and corresponding environment conditioning equipment operation is controlled according to the control instruction.
Preferably, the environment conditioning equipment includes air-conditioning, air purifier, ion atomizer.
Preferably, the control device includes multiple control units, and each control unit connects an environment conditioning equipment.
Beneficial effects of the present invention are:Based on wireless sensor network technology, realize to medical unit environment
Monitoring and intelligent control in real time, are conducive to prevent the exacerbation and infection of the disease of patient in ward.
Description of the drawings
Using attached drawing, the invention will be further described, but the embodiment in attached drawing does not constitute any limit to the present invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
The system structure schematic block diagram of Fig. 1 an illustrative embodiment of the invention;
Fig. 2 is the structural schematic block diagram of the environmental Kuznets Curves subsystem of an illustrative embodiment of the invention.
Reference numeral:
Radio sensor network monitoring subsystem 1, base station equipment 2, environmental Kuznets Curves subsystem 3, data processing equipment 10, control
Device 20 processed.
Specific implementation mode
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, medical environment intelligence control system is present embodiments provided, including is communicated to connect successively wireless
Sensor network monitoring subsystem 1, base station equipment 2 and environmental Kuznets Curves subsystem 3;The radio sensor network monitoring subsystem
1 includes multiple sensor nodes being deployed in default medical unit monitoring region, and sensor node is configured as to default doctor
The environment for treating ward monitoring region is monitored, and the environmental parameter of sensor node acquisition is ultimately delivered to base station equipment, in turn
The environmental parameter received is transmitted to environmental Kuznets Curves subsystem 3 by base station equipment 2;The environmental Kuznets Curves subsystem 3 includes number
According to processing unit 10 and control device 20, the control device 20 is connect with multiple environment conditioning equipment, the data processing dress
It sets 10 to be configured as analyzing all environmental parameters, the corresponding control of output when environmental parameter exceeds preset threshold range
System is instructed to the control device 20;The control device 20 controls corresponding environment conditioning equipment according to the control instruction and transports
Row.
In a kind of mode that can be realized, the environment conditioning equipment includes air-conditioning, air purifier, ion atomization
Machine.
In a kind of mode that can be realized, the control device 20 includes multiple control units, and each control unit connects
Connect an environment conditioning equipment.In another embodiment, more than 20 a control unit of the control device, each control unit connect
Connect multiple environment conditioning equipment.
The above embodiment of the present invention is realized based on wireless sensor network technology to the real-time of medical unit environment
Monitoring and intelligent control, are conducive to prevent the exacerbation and infection of the disease of patient in ward.
In a kind of mode that can be realized, multiple sensor nodes are assisted in the constructing network topology stage by clustering routing
View completes sub-clustering, and each sub-clustering is set there are one cluster head, and the base station equipment 2 is from selecting trochanter in one first in multiple cluster heads
Point, each cluster head select a sensor node in cluster as the second transit node;In data transfer phase, each sub-clustering
Sensor node between the second transit node, corresponding cluster head the nearest node as a purpose of chosen distance, by the ring of acquisition
Border parameter is sent to destination node;If destination node is closer with first transit node distance, the destination node will collect
Environmental parameter be sent to the first transit node, if destination node and the base station equipment 2 are apart from relatively close, the destination node
The environmental parameter of reception is directly sent to the base station equipment 2.
Wherein, when the environmental parameter amount that first transit node receives reaches its caching limit, the first transit node will
All environmental parameters received, which summarize, is sent to the base station equipment 2.
Wherein, the primary power of each sensor node differs in network, wherein the Energy distribution of each sensor node exists
[Q0,(1+d)Q0] in range, Q0For the primary power of the sensor node of primary power value minimum in network, (1+d) Q0For net
Primary power is worth the primary power of maximum sensor node in network.
The present embodiment is innovatively provided with the first transit node, the second transit node is avoided by the setting in cluster
Environmental parameter is directly sent to corresponding cluster head by all the sensors node, is also avoided all cluster heads and is directly sent environmental parameter
To base station equipment 2 data congestion degree is reduced to reduce communication overhead.
In a kind of mode that can be realized, the base station equipment 2 selects first transit node from multiple cluster heads,
Including:
(1) base station equipment 2 broadcasts election message to each cluster head, receives the cluster head of election message by the position of itself and works as
Preceding dump energy information is sent to base station equipment 2, and base station equipment 2 is located at according to location information statistics in each cluster head communication range
Cluster head quantity, and each cluster head is ranked up according to the sequence of cluster head quantity from more to less, form cluster head list;It is set in each
The maximum value in cluster head quantity in cluster head communication range is nmax, minimum value nmin, base station equipment 2 is from the cluster head list
Selection cluster head quantity is more thanCluster head alternately node;
(2) base station equipment 2 calculates the weights of each alternate node according to the following formula, using the alternate node of maximum weight as
First transit node, and broadcast to each cluster head:
In formula, WiFor the weights of cluster head i, QiFor the current remaining of cluster head i, Li,oFor cluster head i and base station equipment 2 away from
From Lj,oIt is j-th of cluster head at a distance from base station equipment 2 ,+for the cluster head quantity in network;f1、f2For preset weight coefficient.
The present embodiment is provided with the determination mechanism of the first transit node, more by selecting neighbours' cluster head quantity in the mechanism
Cluster head alternately node, be conducive to ensure that more cluster head can be communicated with the first transit node, to give full play to
The effect of one transit node, avoids bringing meaningless energy expenditure because remaining cluster head and the first transit node are all apart from each other.
The present embodiment is further provided with the weight computing formula of alternate node, and each alternative section is determined according to the calculation formula
The weights of point, and select the maximum alternate node of weights as the first transit node so that the first transit node selected has foot
Enough energy process environmental parameters collect task, and the communication further decreased between the first transit node and base station equipment 2 is opened
Pin.
In a kind of mode that can be realized, each cluster head selects a sensor node in cluster as in second
Trochanterion, including:
(1) cluster head compares it at a distance from the first transit node, base station equipment 2, in the first transit node and base station equipment 2
Middle determination is apart from nearest node, and by each sensor in the identity information apart from nearest node and broadcast of position information to cluster
Node;
(2) each sensor node calculates the Superiority Value of itself in cluster, and Superiority Value is fed back to corresponding cluster head;
(3) cluster head calculates Superiority Value average value according to the Superiority Value of each sensor node in cluster, and it is excellent that Superiority Value is more than this
The sensor node of gesture value average value builds candidate node list as both candidate nodes;
(4) cluster head selects the maximum both candidate nodes of current remaining as trochanter in second in candidate node list
Point.
Wherein, set the calculation formula of Superiority Value as:
In formula, EiaFor the Superiority Value of the sensor node a where cluster head i in cluster, Li,aFor cluster head i's and sensor node a
Distance, La,o′For the distance of nearest node at a distance from sensor node 6 and cluster head i determinations, Li,o′For cluster head i with its determine away from
With a distance from nearest node, d is the distance weighting coefficient of setting, d ∈ (0,1);4iaTo be located in sensor node a communication ranges
Sensor node number, KiFor the cluster inner sensor node number of cluster head i, y1、y2For preset weight coefficient, and y1+y2=
1。
The present embodiment proposes the selection mechanism of the second transit node, wherein innovatively setting sensor node advantage
The calculation formula of value, the calculation formula make and apart from nearest node at a distance of the sensor node closer, the node number of degrees are larger
Probability with bigger, to be elected to both candidate nodes.
In the present embodiment, cluster head only chooses the second transit node in the candidate node list of structure, is conducive to ensure choosing
The second transit node gone out can effectively undertake environmental parameter collection task, and advantageously reduce environmental parameter collect, with
And environmental parameter is transmitted to the energy consumption apart from nearest node.
In a kind of mode that can be realized, cluster head is updated according to the second transit node of preset rotational cycle pair,
To complete the rotation of the second transit node, specially:Cluster head calculates the select probability of each both candidate nodes in candidate node list;Cluster
Head is broadcasted to each sensor node in cluster, previously using the maximum both candidate nodes of select probability as the second new transit node
The second transit node then become common sensor node.
Wherein, the calculation formula of the select probability is:
In formula, HbFor the select probability of both candidate nodes b, QbFor the current remaining of both candidate nodes b, Qb0For both candidate nodes
The primary power of b, (1+d) Q0It is worth the primary power of maximum sensor node, G for primary power in networkbFor the candidate section
Up to the present point b serves as the number of the second transit node, GmaxFor preset frequency threshold value, c is preset decay factor, is used
Influence degree of the second transit node number to select probability is served as in expression.
The present embodiment has herein proposed the rotation mechanism of the second transit node, wherein by energy, serving as the second transit node
The standard of number alternatively probability calculation, innovatively sets the calculation formula of select probability.It is general by will periodically select
The maximum both candidate nodes of rate are avoided as the second new transit node because repeatedly using same both candidate nodes as trochanter in second
It puts and so that the energy of the second transit node quickly consumes, be conducive to the energy expenditure of balanced each alternate node, and then improve ring
The reliability of border parameter acquisition and transmission.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although being explained in detail to the present invention with reference to preferred embodiment, those skilled in the art answer
Work as understanding, technical scheme of the present invention can be modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. medical environment intelligence control system, characterized in that including the radio sensor network monitoring subsystem communicated to connect successively
System, base station equipment and environmental Kuznets Curves subsystem;The radio sensor network monitoring subsystem includes multiple being deployed in default doctor
Treat ward monitoring region in sensor node, sensor node be configured as to preset medical unit monitor region environment into
The environmental parameter of row monitoring, sensor node acquisition is ultimately delivered to base station equipment, and then the ring that will be received by base station equipment
Border parameter is transmitted to environmental Kuznets Curves subsystem;The environmental Kuznets Curves subsystem includes data processing equipment and control device, described
Control device is connect with multiple environment conditioning equipment, and the data processing equipment is configured as dividing all environmental parameters
Analysis exports corresponding control instruction to the control device when environmental parameter exceeds preset threshold range;The control dress
It sets and corresponding environment conditioning equipment operation is controlled according to the control instruction.
2. medical environment intelligence control system according to claim 1, characterized in that the environment conditioning equipment includes sky
Tune, air purifier, ion atomizer.
3. medical environment intelligence control system according to claim 2, characterized in that the control device includes multiple controls
Unit processed, each control unit connect an environment conditioning equipment.
4. medical environment intelligence control system according to claim 1, characterized in that multiple sensor nodes are opened up in network
It flutters the structure stage and sub-clustering is completed by clustering route protocol, each sub-clustering is set there are one cluster head, and the base station equipment is from multiple clusters
First transit node is selected in head, each cluster head selects a sensor node in cluster as the second transit node;
Data transfer phase, sensor node in each sub-clustering chosen distance between the second transit node, corresponding cluster head are nearest
The environmental parameter of acquisition is sent to destination node by node as a purpose;If destination node and the first transit node distance
Relatively close, the environmental parameter of collection is sent to the first transit node by the destination node, if destination node and the base station equipment
Distance is closer, and the environmental parameter of reception is then directly sent to the base station equipment by the destination node.
5. medical environment intelligence control system according to claim 1, characterized in that each sensor node is first in network
Beginning energy differs, wherein the Energy distribution of each sensor node is in [Q0, (1+d) Q0] in range, Q0For primary power in network
It is worth the primary power of minimum sensor node, (1+d) Q0It is worth the initial of maximum sensor node for primary power in network
Energy.
6. medical environment intelligence control system according to claim 5, characterized in that the base station equipment is from multiple cluster heads
In select first transit node, including:
(1) base station equipment broadcasts election message to each cluster head, and the cluster head for receiving election message is by the position of itself and currently surplus
Complementary energy information is sent to base station equipment, and base station equipment is located at the cluster head number in each cluster head communication range according to location information statistics
Amount, and each cluster head is ranked up according to the sequence of cluster head quantity from more to less, form cluster head list;It is logical to be set in each cluster head
Believe that the maximum value in the cluster head quantity in range is nmax, minimum value nmin, base station equipment selects cluster from the cluster head list
Head quantity is more thanCluster head alternately node;
(2) base station equipment calculates the weights of each alternate node according to the following formula, using the alternate node of maximum weight as first
Transit node, and broadcast to each cluster head:
In formula, WiFor the weights of cluster head i, QiFor the current remaining of cluster head i, LI, oIt is cluster head i at a distance from base station equipment,
LJ, oIt is j-th of cluster head at a distance from base station equipment, N is the cluster head quantity in network;f1、f2For preset weight coefficient.
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109240390A (en) * | 2018-11-08 | 2019-01-18 | 广州益牛科技有限公司 | A kind of medical supplies storage condition intelligent monitor system |
CN109445496A (en) * | 2018-11-08 | 2019-03-08 | 广州益牛科技有限公司 | A kind of medicine storage condition intelligent monitor system |
CN109634325A (en) * | 2018-12-03 | 2019-04-16 | 广州市花林景观工程有限公司 | A kind of medical storage condition regulator control system of real-time radio |
CN109656285A (en) * | 2018-11-26 | 2019-04-19 | 深圳朗昇贸易有限公司 | A kind of medical storage condition regulator control system of real-time intelligent |
CN111023688A (en) * | 2019-11-14 | 2020-04-17 | 李昂钊 | Novel intelligent indicating system for environment cleanliness in refrigerator |
CN111092927A (en) * | 2019-11-01 | 2020-05-01 | 广东炬海科技股份有限公司 | Nursing information remote monitoring system |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105050095A (en) * | 2015-04-02 | 2015-11-11 | 浙江理工大学 | Topology construction method for heterogeneous wireless sensor networks based on energy prediction |
CN105787285A (en) * | 2016-03-31 | 2016-07-20 | 西安理邦科学仪器有限公司 | Central monitoring method and central monitoring system for wards |
CN105929882A (en) * | 2016-07-15 | 2016-09-07 | 北京赛易科信息技术有限公司 | Method, device and system for detecting, regulating and controlling indoor environments |
CN107592371A (en) * | 2017-11-01 | 2018-01-16 | 广州供电局有限公司 | A kind of electric power construction field informationization supervision system based on wireless sensor network |
CN107770751A (en) * | 2017-11-01 | 2018-03-06 | 深圳市晟达机械设计有限公司 | A kind of smart home environment monitoring system |
CN108181830A (en) * | 2018-03-03 | 2018-06-19 | 深圳市益鑫智能科技有限公司 | A kind of intelligent domestic system based on WSN technology |
CN108282755A (en) * | 2017-12-25 | 2018-07-13 | 陈剑桃 | A kind of ward environment monitoring system |
-
2018
- 2018-08-02 CN CN201810870204.9A patent/CN108668255A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105050095A (en) * | 2015-04-02 | 2015-11-11 | 浙江理工大学 | Topology construction method for heterogeneous wireless sensor networks based on energy prediction |
CN105787285A (en) * | 2016-03-31 | 2016-07-20 | 西安理邦科学仪器有限公司 | Central monitoring method and central monitoring system for wards |
CN105929882A (en) * | 2016-07-15 | 2016-09-07 | 北京赛易科信息技术有限公司 | Method, device and system for detecting, regulating and controlling indoor environments |
CN107592371A (en) * | 2017-11-01 | 2018-01-16 | 广州供电局有限公司 | A kind of electric power construction field informationization supervision system based on wireless sensor network |
CN107770751A (en) * | 2017-11-01 | 2018-03-06 | 深圳市晟达机械设计有限公司 | A kind of smart home environment monitoring system |
CN108282755A (en) * | 2017-12-25 | 2018-07-13 | 陈剑桃 | A kind of ward environment monitoring system |
CN108181830A (en) * | 2018-03-03 | 2018-06-19 | 深圳市益鑫智能科技有限公司 | A kind of intelligent domestic system based on WSN technology |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109240390A (en) * | 2018-11-08 | 2019-01-18 | 广州益牛科技有限公司 | A kind of medical supplies storage condition intelligent monitor system |
CN109445496A (en) * | 2018-11-08 | 2019-03-08 | 广州益牛科技有限公司 | A kind of medicine storage condition intelligent monitor system |
CN109445496B (en) * | 2018-11-08 | 2021-04-09 | 深圳沃达龙医疗集团股份有限公司 | Intelligent monitoring system for medicine storage environment |
CN109656285A (en) * | 2018-11-26 | 2019-04-19 | 深圳朗昇贸易有限公司 | A kind of medical storage condition regulator control system of real-time intelligent |
CN109634325A (en) * | 2018-12-03 | 2019-04-16 | 广州市花林景观工程有限公司 | A kind of medical storage condition regulator control system of real-time radio |
CN111092927A (en) * | 2019-11-01 | 2020-05-01 | 广东炬海科技股份有限公司 | Nursing information remote monitoring system |
CN111023688A (en) * | 2019-11-14 | 2020-04-17 | 李昂钊 | Novel intelligent indicating system for environment cleanliness in refrigerator |
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Application publication date: 20181016 |