CN105024889B - Smart home wireless sensor network scheduling based on electricity positioning and early warning system - Google Patents
Smart home wireless sensor network scheduling based on electricity positioning and early warning system Download PDFInfo
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- CN105024889B CN105024889B CN201410567261.1A CN201410567261A CN105024889B CN 105024889 B CN105024889 B CN 105024889B CN 201410567261 A CN201410567261 A CN 201410567261A CN 105024889 B CN105024889 B CN 105024889B
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Abstract
The invention discloses a kind of smart home wireless sensor network scheduling based on electricity positioning and early warning systems, including central data processing unit, ZigBee gateway coordinators control node, data collection station node, server, network transmitting unit, third party center and mobile phone terminal.The invention also discloses a kind of smart home wireless sensor network scheduling based on electricity positioning and method for early warning, include mainly positioning, early warning, scheduling.The present invention is from global intelligentized control method data collection station node, avoid each node repeated work, it reduces the net cycle time of all nodes, reduce data redundancy, the energy consumption and memory space of intelligent home network are reduced on the whole, reduce the replacement maintenance time needed by dead battery capability and memory space inadequate, cost of labor is saved, the time between failures of system are improved.
Description
Technical field
It is the present invention relates to a kind of smart home wireless sensor network scheduling of meter and early warning system and method, more particularly to a kind of
Smart home wireless sensor network scheduling based on electricity positioning and early warning system and method.
Background technology
Smart home realizes that system adopts control mainly by wireless sensor network, along with people for sensing network demand
Variation, market there is an urgent need to by image, audio, video etc. as detection object, to the data-handling capacity of sensor node and
Storage capacity proposes new requirement, and the increase of data processing amount will necessarily increase the energy expense of system.It is limited by energy
The sensing node of system carries out data acquisition, and the big data quantities such as image, audio, video information increases as main acquisition information
Requirement to the data-handling capacity and control device storage capacity of sensing node, increases the energy expense of system, to
Energy consumption problem becomes the developing critical issue of wireless sensor network and the power saving of bottleneck problem, especially sensing node is compeled
Being essential will be resolved.But subversive change will not occur in a short time for the electricity of node battery, so energy consumption problem
It is still the developing critical issue of wireless sensor network.But in the prior art, on wireless sensor network energy consumption problem
Hardware modifications
By in relation to reduce smart home wireless sensing node power consumption technical solution literature search and patent consulting,
The wireless sensor network scheduling for proposing to position based on electricity in terms of smart home and method for early warning are not found temporarily to solve nothing
The power problems of line sensing network node.
The present invention makes up the angle of hardware from software for the deficiency in the prior art, the method for taking software technology, if
Control scheduling, warning algorithm are adopted in the low energy consumption of meter wireless sensor network, are adopted control software come control node equipment by intelligence, are avoided
Each node repeated work reduces working time of node, reduces data redundancy, reduces smart home wireless sense network on the whole
The energy consumption of network realizes more intelligentized control, the service life of system also can be improved.
Invention content
Goal of the invention：The purpose of the present invention is to solve deficiencies in the prior art, and the angle of hardware is made up from software,
The method for taking software technology, provide it is a kind of positioned based on electricity smart home wireless sensor network scheduling and early warning system
And method.
Technical solution：In order to achieve the goal above, the invention discloses the smart home wireless sensings positioned based on electricity
Network scheduling and early warning system（As shown in Figure 1）, including central data processing unit, ZigBee gateway coordinators control node,
Data collection station node, server, network transmitting unit, third party center and mobile phone terminal；The central data processing
Unit is connect with server；The central data processing unit coordinates control node and data collection station by ZigBee gateways
Node connects；The third party center and mobile phone terminal are connect by network transmitting unit with central data processing unit.This hair
It is bright by central data processing unit come global intelligentized control method data collection station node, avoid each node repeated work,
It reduces the net cycle time of all nodes, reduce data redundancy, the energy for reducing intelligent home network on the whole disappears
Consumption and memory space, reduce the replacement maintenance time needed by dead battery capability and memory space inadequate, save people
Work cost improves the time between failures of system.
The data collection station node is connect by relay node with ZigBee gateway coordinator control nodes.System meeting
It is waken up with this and closed node, realizes that node linear type works alternatively, improve the efficiency and speed of scheduling unit, reduced and be
The energy consumption of system.
The network transmitting unit is：GPRS network, and/or 3G network, and/or 4G networks.Multiple network backups each other,
In a certain network failure, taken over using backup network, ensure that third party centrally through with mobile phone terminal unit in
Entreat the reliability of data processing unit communication.
The central data processing unit includes scheduling unit and prewarning unit.Scheduling unit and prewarning unit respectively have point
Work, Each performs its own functions, communicates.Central data processing unit is split as two functional units, reduces answering for hardware design
Miscellaneous degree improves the stability of hardware；The complexity for also reducing the realization logic of the control method of software simultaneously, improves soft
The reliability of part.
The data collection station node includes at least battery and data storage cell.The data storage cell is as number
According to being locally stored for acquisition terminal node, the communication overhead between data collection station node and server is saved, is reduced
The energy consumption of system.
The invention also provides a kind of smart home wireless sensor network scheduling based on electricity positioning and method for early warning（Such as
Shown in Fig. 2）, which is characterized in that include the following steps：
Step 1：The monitored positioning object location information of data collection station node acquisition, and location information is passed through
ZigBee gateway coordinator control nodes are transmitted to central data processing unit.
This step is mainly to determine location information, saves the time for subsequent detection, scheduling based on location information, carries
The speed of high detection, scheduling.
Step 2：The central data processing unit calls prewarning unit, the prewarning unit to pass through the ZigBee gateways
The electricity and memory space of the data collection station node near positioning object are monitored in coordinator control node detecting step 1
Information, and send detection data to scheduling unit.
The data collection station node that this step predominantly detects near monitored positioning object can work normally, and will inspection
It surveys result and sends scheduling unit to, basic information is provided for subsequent optimal scheduling.
Step 3：Scheduling unit carries out optimal scheduling：By based on the optimal adaptive sub-clustering dispatching method of low energy consumption of positioning
（DLEACHS）, optimum terminal node is selected to carry out image data acquiring to the monitored positioning object.
Detection data of this step based on step 3, the node optimal to optimum position, memory space pass through ZigBee gateways
Coordinate control node to be automatically waken up, closed, optimizes signal processing, improve the efficiency of scheduling.
Step 4：Prewarning unit in the central data processing unit utilizes the node scheduling safety identified based on electricity
Warning algorithm（EESSWA）, all data collection station nodes are detected by the ZigBee gateways coordinator control node
Electricity and storage space information, and the data collection station nodal information of electricity and/or memory space inadequate is sent to mobile phone
Or third party center, it provides battery and/or data storage cell needs the alarm signal safeguarded.
The destination node information of electricity and/or memory space inadequate is backed up simultaneously and sends portion to control centre；
Scheduling unit is connected to information, by the storage of the data collection station node of the electricity and/or memory space inadequate
Data copy is to server.
Remaining capacity is major parameter by this step, is realized the automatic alarm of battery capacity and memory space, is prevented
Data collection station node failure is caused because of not enough power supply or memory space inadequate, and then influences the normal operation of system.
Scheduling unit automatically preserves data simultaneously, ensure that data will not lose data because of data collection station node maintenance.
When step 5, the scheduling unit do not receive warning information, for not needing the data collection station node of work
Suspend mode and closing are carried out, the data collection station node completed to work is closed immediately.This step is avoided according to acquisition terminal section
The non-productive work of point, reduces energy consumption and data redundancy.
Advantageous effect：Compared with prior art, the present invention has the following advantages：
1. the present invention avoids each node repeated work, reduces from global intelligentized control method data collection station node
The net cycle time of all nodes reduces data redundancy, reduces the energy consumption of intelligent home network on the whole and deposits
Space is stored up, reduces the replacement maintenance time needed by dead battery capability and memory space inadequate, saves cost of labor,
Improve the time between failures of system.
2. the present invention is based on location informations to carry out early warning detection and optimal scheduling, detection time is saved, scheduling is improved
Efficiency.
3. central data processing unit is split as two functional units by the present invention, the complexity of hardware design is reduced,
Improve the stability of hardware；The complexity for also reducing the realization logic of the control method of software simultaneously, improves software
Reliability.
4. remaining capacity is major parameter by the present invention, the automatic alarm of battery capacity and memory space is realized, is prevented
Data collection station node failure is caused because of not enough power supply or memory space inadequate, and then influences the normal fortune of system
Row.Scheduling unit automatically preserves data simultaneously, ensure that data will not lose number because of data collection station node maintenance
According to.
Description of the drawings
Fig. 1 is the smart home wireless sensor network scheduling positioned based on electricity and early warning system composition schematic diagram；
Fig. 2 is the smart home wireless sensor network scheduling positioned based on electricity and method for early warning flow chart.
Specific implementation mode
In the following with reference to the drawings and specific embodiments, the present invention is furture elucidated, it should be understood that these embodiments are merely to illustrate
It the present invention rather than limits the scope of the invention, after having read the present invention, those skilled in the art are to of the invention each
The modification of kind equivalent form falls within the application range as defined in the appended claims.
Embodiment：
A kind of scheduling of smart home wireless sensor network and early warning system based on electricity positioning（As shown in Figure 1）, including
Central data processing unit, ZigBee gateway coordinators control node, data collection station node, server, network transmission list
Member, third party center and mobile phone terminal.
The central data processing unit includes scheduling unit and prewarning unit.The network transmitting unit is：GPRS nets
Network, and/or 3G network, and/or 4G networks.The data collection station node is made of various types sensor, there is smart window
Curtain control, intelligent appliance, smart television, intelligent air condition, background music, alarm terminal etc.；The third party center takes for property
Business center etc..
The central data processing unit is connect with server；The central data processing unit is assisted by ZigBee gateways
Control node is adjusted to be connect with data collection station node；The data collection station node section passes through relay node and ZigBee
Gateway coordinator control node connects.During Various types of data acquisition terminal node is transferred data to by ZigBee gateway coordinators
Data processing unit is entreated, while receiving the data from central data processing unit and instruction.The third party center and mobile phone
Terminal is connect by network transmitting unit with central data processing unit：Central data processing unit will be according to cell phone intelligent terminal
Requirement and setting complete task, system operation is reported to mobile phone user or third party center extremely in real time.
The main process of system work is as follows（As shown in Figure 2）：
1, when someone enters into infrared observation region, node positions image information, and it is soft to issue central data processing
Part center, software center call prewarning unit, the node scheduling safe early warning algorithm based on electricity identification（EESSWA）, the software
Method passes through Zigbee gateway coordinators, the state of each camera shooting node in the automatic decision region, according to electricity, storage, position
Combination, information is issued into scheduling unit, scheduling unit passes through based on positioning the optimal adaptive sub-clustering dispatching method of low energy consumption
（DLEACHS）Method selects the conscientious image data acquiring of optimal node.
2, at the same time the nodal information of not enough power supply is issued mobile phone terminal or third party's service center by prewarning unit, into
Row plant maintenance, backup send portion to scheduling unit, and scheduling unit is connected to information, the information copy for automatically storing the node
To server.
3, central processing center's scheduling unit when being not connected to warning information, stop by the node for not needing work
It sleeps or closes, the node completed for work is closed immediately, is reduced node non-productive work, if for relay node, is
System can be waken up with this and closed node, realizes that node linear type works alternatively.
Claims (5)
1. the smart home wireless sensor network scheduling based on electricity positioning and early warning system, it is characterised in that：Including central number
According to processing unit, ZigBee gateway coordinators control node, data collection station node, server, network transmitting unit, third
Fang Zhongxin and mobile phone terminal；The central data processing unit is connect with server；The central data processing unit passes through
ZigBee gateways are coordinated control node and are connect with data collection station node；The third party center and mobile phone terminal pass through network
Transmission unit is connect with central data processing unit；
The working method of smart home wireless sensor network scheduling and early warning system based on electricity positioning described in realizing, including with
Lower step：Step 1：The monitored positioning object location information of data collection station node acquisition, and location information is passed through
ZigBee gateway coordinator control nodes are transmitted to central data processing unit；Step 2：The central data processing unit tune
With prewarning unit, the prewarning unit is by being monitored positioning in the ZigBee gateways coordinator control node detecting step 1
The electricity and storage space information of data collection station node near object, and send detection data to scheduling unit；Step
Rapid 3：Scheduling unit carries out optimal scheduling：By based on the optimal adaptive sub-clustering dispatching method of low energy consumption of positioning（DLEACHS）,
Optimum terminal node is selected to carry out image data acquiring to the monitored positioning object；Step 4：The central data processing
Prewarning unit in unit detects all data collection station nodes by the ZigBee gateways coordinator control node
Electricity and storage space information, and the data collection station nodal information of electricity and/or memory space inadequate is sent to mobile phone
Or third party center, it provides battery and/or data storage cell needs the alarm signal safeguarded；Simultaneously by electricity and/or storage
The destination node information backup of insufficient space sends a to control centre；Scheduling unit is connected to information, by the electricity and/
Or the data copy of the data collection station node storage of memory space inadequate is to server；Step 5, the scheduling unit do not have
When receiving warning information, the data collection station node for not needing work carries out suspend mode and closing, is completed to work
Data collection station node is closed immediately.
2. the scheduling of smart home wireless sensor network and early warning system according to claim 1 based on electricity positioning,
It is characterized in that：The data collection station node is connect by relay node with ZigBee gateway coordinator control nodes.
3. the scheduling of smart home wireless sensor network and early warning system according to claim 1 based on electricity positioning,
It is characterized in that：The network transmitting unit is：GPRS network, and/or 3G network, and/or 4G networks.
4. the scheduling of smart home wireless sensor network and early warning system according to claim 1 based on electricity positioning,
It is characterized in that：The central data processing unit includes scheduling unit and prewarning unit.
5. the scheduling of smart home wireless sensor network and early warning system according to claim 1 based on electricity positioning,
It is characterized in that：The data collection station node includes at least battery and data storage cell.
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| CN201410567261.1A CN105024889B (en) | 2014-10-23 | 2014-10-23 | Smart home wireless sensor network scheduling based on electricity positioning and early warning system |
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| CN201410567261.1A CN105024889B (en) | 2014-10-23 | 2014-10-23 | Smart home wireless sensor network scheduling based on electricity positioning and early warning system |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102238562A (en) * | 2010-04-29 | 2011-11-09 | 电子科技大学 | Method for optimizing coverage of wireless sensor network |
| CN103561466A (en) * | 2013-10-30 | 2014-02-05 | 广东省数字广东研究院 | System for improving accuracy of locating of sensor network nodes |
| CN103914940A (en) * | 2014-02-25 | 2014-07-09 | 健雄职业技术学院 | Indoor antitheft monitoring system based on wireless sensor network technology and monitoring method thereof |
-
2014
- 2014-10-23 CN CN201410567261.1A patent/CN105024889B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102238562A (en) * | 2010-04-29 | 2011-11-09 | 电子科技大学 | Method for optimizing coverage of wireless sensor network |
| CN103561466A (en) * | 2013-10-30 | 2014-02-05 | 广东省数字广东研究院 | System for improving accuracy of locating of sensor network nodes |
| CN103914940A (en) * | 2014-02-25 | 2014-07-09 | 健雄职业技术学院 | Indoor antitheft monitoring system based on wireless sensor network technology and monitoring method thereof |
Non-Patent Citations (1)
| Title |
|---|
| 基于物联网的智能家居系统研究与实现;刘婵媛;《中国优秀硕士学位论文全文数据库信息科技辑》;20120831;正文第19页第1段至第21页第2段、第44页第1段、第52页第1段至第53段第3段以及附图3.1 * |
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