CN105024889A - Smart home wireless sensor network scheduling and early-warning system based on electric quantity positioning - Google Patents

Smart home wireless sensor network scheduling and early-warning system based on electric quantity positioning Download PDF

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Publication number
CN105024889A
CN105024889A CN201410567261.1A CN201410567261A CN105024889A CN 105024889 A CN105024889 A CN 105024889A CN 201410567261 A CN201410567261 A CN 201410567261A CN 105024889 A CN105024889 A CN 105024889A
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scheduling
node
smart home
collection station
electricity
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CN201410567261.1A
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CN105024889B (en
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朱翠苗
郑广成
沈晔
沈蕴梅
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Suzhou Chien Shiung Institute of Technology
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Suzhou Chien Shiung Institute of Technology
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Abstract

The invention discloses a smart home wireless sensor network scheduling and early-warning system based on electric quantity positioning, which comprises a central data processing unit, a ZigBee gateway coordinator control node, a data acquisition terminal node, a server, a network transmission unit, a third-party center and a mobile phone terminal. The invention further discloses a smart home wireless sensor network scheduling and early-warning method based on electric quantity positioning, which mainly comprises the steps of positioning, early-warning scheduling and the like. The smart home wireless sensor network scheduling and early-warning system based on electric quantity positioning controls the data acquisition terminal node from global intelligence level, avoids repeated work of the nodes, reduces total working time of all nodes, reduces data redundancy, reduces energy consumption and storage space of a smart home network integrally, reduces replacement maintenance time required since the electric quantity of a battery runs out and the storage space is not enough, saves labor cost and improves the fault-free working time of the system.

Description

Based on the scheduling of Smart Home radio sensing network and the early warning system of electricity location
Technical field
The present invention relates to a kind of Smart Home radio sensing network scheduling of meter and early warning system and method, particularly a kind of Smart Home radio sensing network scheduling based on electricity location and early warning system and method.
Background technology
Smart Home mainly realizes system by radio sensing network and adopts control, along with the change of people for sensing network demand, market in the urgent need to using image, audio frequency, video etc. as detected object, propose new requirement to the data-handling capacity of sensor node and storage capacity, the increase of data processing amount must increase the energy expense of system.The sensing node be restricted by energy carries out data acquisition, the big data quantity information such as image, audio frequency, video are as main Information Monitoring, add the requirement of data-handling capacity to sensing node and control device storage capacity, add the energy expense of system, thus energy consumption problem becomes the power saving of the developing key issue of radio sensing network and bottleneck problem, particularly sensing node in the urgent need to being resolved.But the electricity of node battery at short notice subversive change can not occur, so energy consumption problem is still the developing key issue of radio sensing network.But in prior art, for the hardware modifications on radio sensing network energy consumption problem
By to the literature search of the technical scheme about reducing Smart Home wireless sensing node power consumption and patent consulting, do not find that the radio sensing network proposing to locate based on electricity in Smart Home is dispatched and method for early warning solves the power problems of radio sensing network node temporarily.
The present invention is directed to the deficiency in prior art, the angle of hardware is made up from software, take the method for software engineering, control scheduling, warning algorithm are adopted in the low energy consumption of design radio sensing network, adopt control software by intellectuality and carry out Controlling vertex equipment, avoid each node repeated work, reduce working time of node, reduce data redundancy, reduce the energy consumption of Smart Home radio sensing network on the whole, realize more intelligentized control, also can improve the useful life of system.
Summary of the invention
goal of the invention:the object of the invention is, in order to solve deficiency of the prior art, to make up the angle of hardware from software, take the method for software engineering, provide a kind of Smart Home radio sensing network scheduling based on electricity location and early warning system and method.
technical scheme:in order to realize above object, the invention discloses the Smart Home radio sensing network scheduling based on electricity location and early warning system (as shown in Figure 1), comprise central data processing unit, ZigBee gateway telegon Controlling vertex, data collection station node, server, network transmitting unit, third party center and mobile phone terminal; Described central data processing unit is connected with server; Described central data processing unit is connected with data collection station node by ZigBee gateway cooperation control node; Described third party center is connected with central data processing unit by network transmitting unit with mobile phone terminal.The present invention carrys out overall intelligentized control method data collection station node by central data processing unit, avoid each node repeated work, reduce the net cycle time of all nodes, decrease data redundancy, reduce energy resource consumption and the memory space of intelligent home network on the whole, decrease the replacing preventive maintenance time needed because of dead battery capability and memory space inadequate, save cost of labor, improve the time between failures of system.
Described data collection station node is connected with ZigBee gateway telegon Controlling vertex by via node.System can be waken up and closed node with this, realizes the alternation of node linear pattern, improves efficiency and the speed of scheduling unit, reduces the energy resource consumption of system.
Described network transmitting unit is: GPRS network and/or 3G network and/or 4G network.Multiple network backups each other, and at a certain network failure, using backup network to take over, ensure that the reliability of third party center by communicating with central data processing unit with mobile phone terminal unit.
Described central data processing unit comprises scheduling unit and prewarning unit.Scheduling unit and prewarning unit are had one's own work to do, Each performs its own functions, communicate mutually.Central data processing unit is split as two functional units, reduces the complexity of hardware designs, improve the stability of hardware; Also reduce the complexity realizing logic of the control method of software simultaneously, improve the reliability of software.
Described data collection station node at least comprises battery and data storage cell.Described data storage cell stores as this locality of data collection station node, saves the communication overhead between data collection station node and server, reduces the energy resource consumption of system.
The invention allows for a kind of Smart Home radio sensing network scheduling based on electricity location and method for early warning (as shown in Figure 2), it is characterized in that, comprise the following steps:
Step 1: described data collection station node gathers monitored anchored object positional information, and positional information is sent to central data processing unit by ZigBee gateway telegon Controlling vertex.
This step mainly determines positional information, for follow-up position-based information detection, scheduling save the time, improve detections, dispatch speed.
Step 2: described central data processing unit calls prewarning unit, described prewarning unit by the electricity of the data collection station node near monitored anchored object in described ZigBee gateway telegon Controlling vertex detecting step 1 and storage space information, and sends detection data to scheduling unit.
The data collection station node that this step mainly detects near monitored anchored object can normally work, and sends testing result to scheduling unit, for follow-up optimal scheduling provides Back ground Information.
Step 3: scheduling unit carries out optimal scheduling: by low energy consumption self adaptation sub-clustering dispatching method (DLEACHS) based on location optimum, selects optimum terminal node to carry out image data acquiring to described monitored anchored object.
This step, based on the detection data of step 3, is automatically waken up the node of optimum position, memory space optimum by ZigBee gateway cooperation control node, is closed, optimize signal transacting, improve the efficiency of scheduling.
Step 4: the prewarning unit in described central data processing unit utilizes the node scheduling safe early warning algorithm (EESSWA) based on electricity identification, electricity and the storage space information of all data collection station nodes is detected by described ZigBee gateway telegon Controlling vertex, and the data collection station nodal information of electricity and/or memory space inadequate is sent to mobile phone or third party center, provide the alarm signal of battery and/or the maintenance of data storage cell needs.
The destination node information backup of electricity and/or memory space inadequate is sent a to control centre simultaneously;
Scheduling unit receives information, and the data copy stored by the data collection station node of described electricity and/or memory space inadequate is to server.
Dump energy is major parameter by this step, achieves the automatic alarm of battery electric quantity and memory space, has stopped to cause data collection station node failure because of electricity deficiency or memory space inadequate, and then the normal operation of influential system.Simultaneously data are preserved by scheduling unit automatically, ensure that data can not because of data collection station node maintenance obliterated data.
When step 5, described scheduling unit do not receive early warning information, for not needing the data collection station node of work to carry out dormancy and closedown, the data collection station node worked is closed immediately.This step avoids the non-productive work according to acquisition terminal node, decreases energy resource consumption and data redundancy.
beneficial effect:compared with prior art, the present invention has the following advantages:
1. the present invention is from overall intelligentized control method data collection station node, avoid each node repeated work, reduce the net cycle time of all nodes, decrease data redundancy, reduce energy resource consumption and the memory space of intelligent home network on the whole, decrease the replacing preventive maintenance time needed because of dead battery capability and memory space inadequate, save cost of labor, improve the time between failures of system.
2. the present invention is based on positional information and carry out early warning detection and optimal scheduling, save detection time, improve the efficiency of scheduling.
3. central data processing unit is split as two functional units by the present invention, reduces the complexity of hardware designs, improves the stability of hardware; Also reduce the complexity realizing logic of the control method of software simultaneously, improve the reliability of software.
4. dump energy is major parameter by the present invention, achieves the automatic alarm of battery electric quantity and memory space, has stopped to cause data collection station node failure because of electricity deficiency or memory space inadequate, and then the normal operation of influential system.Simultaneously data are preserved by scheduling unit automatically, ensure that data can not because of data collection station node maintenance obliterated data.
Accompanying drawing explanation
Fig. 1 is that the Smart Home radio sensing network scheduling of locating based on electricity forms schematic diagram with early warning system;
Fig. 2 dispatches and method for early warning flow chart based on the Smart Home radio sensing network of electricity location.
Embodiment
Below in conjunction with the drawings and specific embodiments, illustrate the present invention further, these embodiments should be understood only be not used in for illustration of the present invention and limit the scope of the invention, after having read the present invention, the amendment of those skilled in the art to the various equivalent form of value of the present invention has all fallen within the application's claims limited range.
Embodiment:
A kind of Smart Home radio sensing network scheduling based on electricity location and early warning system (as shown in Figure 1), comprise central data processing unit, ZigBee gateway telegon Controlling vertex, data collection station node, server, network transmitting unit, third party center and mobile phone terminal.
Described central data processing unit comprises scheduling unit and prewarning unit.Described network transmitting unit is: GPRS network and/or 3G network and/or 4G network.Described data collection station node is made up of all kinds transducer, has intelligent curtain control, intelligent appliance, intelligent television, intelligent air condition, background music, alarm terminal etc.; Described third party center is service for infrastructure center etc.
Described central data processing unit is connected with server; Described central data processing unit is connected with data collection station node by ZigBee gateway cooperation control node; Described data collection station node section is connected with ZigBee gateway telegon Controlling vertex by via node.Various types of data acquisition terminal node transfers data to central data processing unit by ZigBee gateway telegon, accepts the data from central data processing unit and instruction simultaneously.Described third party center is connected with central data processing unit by network transmitting unit with mobile phone terminal: central data processing unit is by task of finishing the work according to the requirement of cell phone intelligent terminal and setting; report abnormal for System Operation to cellphone subscriber in real time, or third party center.
The main process following (as shown in Figure 2) of system works:
1, when there being people to enter into infrared observation region, image information is located by node, and issue central data process software center, software center calls prewarning unit, based on the node scheduling safe early warning algorithm (EESSWA) of electricity identification, this software approach is by Zigbee gateway telegon, the state of each shooting node of this region of automatic decision, according to electricity, store, the combination of position, information is issued scheduling unit, scheduling unit is by low energy consumption self adaptation sub-clustering dispatching method (DLEACHS) method based on location optimum, select the conscientious image data acquiring of optimum node.
2, meanwhile the nodal information of electricity deficiency is issued mobile phone terminal or third party service centre by prewarning unit, carries out plant maintenance, and backup sends a to scheduling unit, and scheduling unit receives information, and the information copy automatically stored by this node is to server.
3, central processing center's scheduling unit is not when receiving early warning information, dormancy or closedown is carried out for not needing the node of work, the node worked is closed immediately, reduce node non-productive work, if for relay node, system can be waken up and closed node with this, realizes the alternation of node linear pattern.

Claims (6)

1. based on the scheduling of Smart Home radio sensing network and the early warning system of electricity location, it is characterized in that, comprise central data processing unit, ZigBee gateway telegon Controlling vertex, data collection station node, server, network transmitting unit, third party center and mobile phone terminal;
Described central data processing unit is connected with server; Described central data processing unit is connected with data collection station node by ZigBee gateway cooperation control node; Described third party center is connected with central data processing unit by network transmitting unit with mobile phone terminal.
2. the Smart Home radio sensing network scheduling based on electricity location according to claim 1 and early warning system, is characterized in that: described data collection station node is connected with ZigBee gateway telegon Controlling vertex by via node.
3. the Smart Home radio sensing network scheduling based on electricity location according to claim 1 and early warning system, is characterized in that: described network transmitting unit is: GPRS network and/or 3G network and/or 4G network.
4. the Smart Home radio sensing network scheduling based on electricity location according to claim 1 and early warning system, it is characterized in that, described central data processing unit comprises scheduling unit and prewarning unit.
5. the Smart Home radio sensing network scheduling based on electricity location according to claim 1 and early warning system, it is characterized in that, described data collection station node at least comprises battery and data storage cell.
6., based on the scheduling of Smart Home radio sensing network and the method for early warning of electricity location, it is characterized in that, comprise the following steps:
Step 1: described data collection station node gathers monitored anchored object positional information, and positional information is sent to central data processing unit by ZigBee gateway telegon Controlling vertex;
Step 2: described central data processing unit calls prewarning unit, described prewarning unit by the electricity of the data collection station node near monitored anchored object in described ZigBee gateway telegon Controlling vertex detecting step 1 and storage space information, and sends detection data to scheduling unit;
Step 3: scheduling unit carries out optimal scheduling: by low energy consumption self adaptation sub-clustering dispatching method (DLEACHS) based on location optimum, selects optimum terminal node to carry out image data acquiring to described monitored anchored object;
Step 4: the prewarning unit in described central data processing unit detects electricity and the storage space information of all data collection station nodes by described ZigBee gateway telegon Controlling vertex, and the data collection station nodal information of electricity and/or memory space inadequate is sent to mobile phone or third party center, provide the alarm signal of battery and/or the maintenance of data storage cell needs;
The destination node information backup of electricity and/or memory space inadequate is sent a to control centre simultaneously;
Scheduling unit receives information, and the data copy stored by the data collection station node of described electricity and/or memory space inadequate is to server;
When step 5, described scheduling unit do not receive early warning information, for not needing the data collection station node of work to carry out dormancy and closedown, the data collection station node worked is closed immediately.
CN201410567261.1A 2014-10-23 2014-10-23 Smart home wireless sensor network scheduling based on electricity positioning and early warning system Active CN105024889B (en)

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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

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