CN110139400A - A kind of silo ambient intelligence monitoring system design method - Google Patents
A kind of silo ambient intelligence monitoring system design method Download PDFInfo
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- CN110139400A CN110139400A CN201910432792.2A CN201910432792A CN110139400A CN 110139400 A CN110139400 A CN 110139400A CN 201910432792 A CN201910432792 A CN 201910432792A CN 110139400 A CN110139400 A CN 110139400A
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- silo
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/12—Shortest path evaluation
- H04L45/122—Shortest path evaluation by minimising distances, e.g. by selecting a route with minimum of number of hops
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/46—Cluster building
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/08—Load balancing or load distribution
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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
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- 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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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- Computer Networks & Wireless Communication (AREA)
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Mobile Radio Communication Systems (AREA)
- Arrangements For Transmission Of Measured Signals (AREA)
Abstract
The silo ambient intelligence monitoring system design method based on wireless sensor that the invention discloses a kind of.Specifically include that A. disposes wireless sensor node in silo, setting up wireless networks establish silo ambient intelligence Monitoring System Model;B. all the sensors node in region will be monitored and carry out sub-clustering, hierarchical design, balanced each meshed network load reduces energy loss;C. it is loaded according to the different communication of sensor node and distributes timeslice for it, adjustment time scheduling guarantees the reliability of data transmission;D. wireless sensor network is that the communication quality for adapting to frequently change carries out adaptive maintenance design, improves network reliability, completes the design of silo ambient intelligence monitoring system.This method has stronger scalability and robustness, at low cost, low in energy consumption, can be realized the environmental monitoring of silo long duration, and make relevant Decision in time by silo state and warning information real-time Transmission to control centre by wireless network transmissions.
Description
Technical field
The present invention relates to a kind of silo ambient intelligence monitoring system design method, belong to network transmission, Network Management System,
Sensor field.
Background technique
China is a Ge Chan grain big country, to reduce the loss during foodstuff preservation, needs to be monitored silo environment.
The environmental monitoring of most domestic silo still uses traditional wired communication mode or manual type, this monitoring pattern operating cost
It is high, the system expandability is poor, efficiency degree, and cable deployment complexity, be not easy to later maintenance, cable is easy aging, and data are adopted
The collection period is long, cannot reflect the ambient condition of silo in time, lead to the loss of manpower financial capacity.
Summary of the invention
To solve the above problems, the purpose of the present invention is to provide a kind of grain with stronger scalability and robustness
Storehouse ambient intelligence monitoring system design method, it is at low cost, low in energy consumption, it can be realized the environmental monitoring of silo long duration, and
Relevant Decision is made in time by silo state and warning information real-time Transmission to control centre by wireless network transmissions.
The present invention solves the problems, such as technical solution used by it, comprising the following steps:
A. wireless sensor node is disposed in silo, setting up wireless networks establish silo ambient intelligence Monitoring System Model;
B. all the sensors node in region will be monitored and carry out sub-clustering, hierarchical design, balanced each meshed network load reduces energy
Loss;
C. it is loaded according to the different communication of sensor node and distributes timeslice for it, adjustment time scheduling guarantees data transmission
Reliability;
D. wireless sensor network is that the communication quality for adapting to frequently change carries out adaptive maintenance design, and it is reliable to improve network
Property, complete the design of silo ambient intelligence monitoring system.
The beneficial effects of the present invention are:
In the case where silo environmental monitoring is more and more important, the present invention have stronger scalability and robustness, it is at low cost,
It is low in energy consumption, it can be realized the environmental monitoring of silo long duration, and by wireless network transmissions, by silo state and alarm signal
Real-time Transmission is ceased to control centre, makes relevant Decision in time.
Detailed description of the invention
A kind of overall flow figure of silo ambient intelligence monitoring system design method of Fig. 1;
Fig. 2 silo ambient intelligence Monitoring System Model structure chart;
Fig. 3 wireless sensor node adjustment time scheduling flow figure.
Specific embodiment
- Fig. 3 referring to Fig.1, method of the present invention the following steps are included:
A. wireless sensor node is disposed in silo, setting up wireless networks establish silo ambient intelligence Monitoring System Model;
Wireless sensor node is disposed in silo, node includes: temperature sensor, humidity sensor, chirp sound transducer
Deng, all wireless sensors are controlled by control centre, and control centre can carry out dynamic address allocation to sensor,
Adjust network balance.Wireless sensor node can spread wireless network coverage, trunk information with relay.When some node loses
When effect, control centre can be positioned by refreshing.After each node deployment is good, wireless network can be set up by starting all modules
Network, such as Fig. 2 establish silo ambient intelligence Monitoring System Model.Timing acquiring data are arranged in wireless sensor, and will be collected
Perception data is sent to neighbouring network coordinator, is then retransmitted to control centre.
B. all the sensors node in region will be monitored and carry out sub-clustering, hierarchical design, balanced each meshed network load is reduced
Energy loss;
(1) all the sensors node in region will be monitored and carry out clustering, the sensor node in each silo is divided into one
A cluster has a host node in each cluster, and the information of acquisition is sent to host node by other nodes, and host node carries out data pre-
Neighbouring network coordinator is sent to after processing.Host node be located at other all nodal distances of the cluster and the smallest position,
Reduce the loss of network energy in cluster;
(2) sensor network system is subjected to hierarchical design, divided are as follows: data Layer, control layer, maintenance level.Data Layer mainly by
Sensor node is constituted, and is responsible for acquiring data, pretreatment in silo, and be transmitted.Control layer mainly includes control centre,
The network insertion of whole system is controlled, service interface is improved.Maintenance level includes sensor maintenance, data transmission, task schedule etc.,
Support all kinds of communication transport protocols.By slowing down the excessive bring network load of data volume to system layer, guarantee system peace
Entirely.
C. it is loaded according to the different communication of sensor node and distributes timeslice for it, adjustment time scheduling guarantees that data pass
Defeated reliability (as shown in Figure 3);
(1) host node sends the order for collecting data, other nodes calculate the transmission of its control command, receive data and hair after receiving
It send the time required to data (formula is shown in (2)), and is reported to host node.Host node is it according to the load of the different communication of other nodes
Distribute suitable timeslice, the activity time T of node are as follows:
Wherein,It is command packet acquisition time piece,It is the sending time piece of command packet,It is acquisition data
The acquisition time piece of packet,It is the sending time piece for acquiring data packet.So as to adjust time scheduling, what guarantee data were transmitted can
By property.
(2) nodeControl command transmission needed for time are as follows:
Wherein,It is nodeChild node set,It is the control command transmission required time of child node,It is hair
The time required to sending a control command.NodeReceive the time of data are as follows:
Wherein,Indicate that node receives the parameter that data are merged.NodeSend the time of data are as follows:
Wherein,It is the time that node sends self-produced data.
D. wireless sensor network is that the communication quality for adapting to frequently change carries out adaptive maintenance design, and improving network can
By property, the design of silo ambient intelligence monitoring system is completed.
Adaptive maintenance design is carried out to wireless sensor network, checks all neighborhood nodes, if it exists two adjacent nodes
Network is constituted with its neighborhood node, then maintenance is carried out to two nodes of neighborhood;If the neighbour of source node certain paths in a network
On the path in domain, the node on neighborhood path includes destination node, then repairs to the path between two nodes of its neighborhood
Shield.Node will only obtain data under reparation state in the activity time, and other times carry out suspend mode.The reparation of network transmission is prolonged
When are as follows:
Wherein,It is the activity time of node,It is the duty cycle of node, i is node work times.By adaptively repairing
Shield design, improves network reliability, completes the design of silo ambient intelligence monitoring system.
In conclusion just completing a kind of silo ambient intelligence monitoring system design method of the present invention.This method
It is at low cost, low in energy consumption with stronger scalability and robustness, it can be realized the environmental monitoring of silo long duration, and
Relevant Decision is made in time by silo state and warning information real-time Transmission to control centre by wireless network transmissions.
Claims (3)
1. a kind of silo ambient intelligence monitoring system design method, it is characterised in that: set up wireless sensor network, guarantee data
The reliability of transmission and network;
It the described method comprises the following steps:
Wireless sensor node is disposed in silo, setting up wireless networks establish silo ambient intelligence Monitoring System Model;
All the sensors node in region will be monitored and carry out sub-clustering, hierarchical design, balanced each meshed network load reduces energy and damages
It loses;
It is loaded according to the different communication of sensor node and distributes timeslice for it, adjustment time is dispatched, and what guarantee data were transmitted can
By property;
Wireless sensor network is that the communication quality for adapting to frequently change carries out adaptive maintenance design, improves network reliability,
Complete the design of silo ambient intelligence monitoring system.
2. a kind of silo ambient intelligence monitoring system design method according to claim 1, it is characterised in that: the step
C includes: that host node is loaded according to the different communication of other nodes as its suitable timeslice of distribution, the activity time T of node are as follows:
。
3. a kind of silo ambient intelligence monitoring system design method according to claim 1, it is characterised in that: the step
D include: if it exists two adjacent nodes and its neighborhood node constitute network, then maintenance is carried out to two nodes of neighborhood;If source is saved
Point is in a network on the path of the neighborhood of certain paths, and the node on neighborhood path includes destination node, then to the two of its neighborhood
Path between a node carries out maintenance.
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CN112969155A (en) * | 2021-02-02 | 2021-06-15 | 南京邮电大学 | Task scheduling method for forest fire detection sensor network node |
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