CN108307399A - Mangrove growing environment wireless monitor system - Google Patents
Mangrove growing environment wireless monitor system Download PDFInfo
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- CN108307399A CN108307399A CN201810091565.3A CN201810091565A CN108307399A CN 108307399 A CN108307399 A CN 108307399A CN 201810091565 A CN201810091565 A CN 201810091565A CN 108307399 A CN108307399 A CN 108307399A
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- growing environment
- firefly
- mangrove
- mangrove growing
- sensor node
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
-
- 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
-
- 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)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Signal Processing (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
Abstract
The present invention provides mangrove growing environment wireless monitor systems, including environmentally sensitive monitoring device, base station equipment and mangrove growing environment monitoring center；The environmentally sensitive monitoring device includes multiple sensor nodes, and sensor node is monitored perception to mangrove growing environment, and the mangrove growing environment information of acquisition is sent to base station equipment；The base station equipment converges the mangrove growing environment information that each sensor node is sent, and mangrove growing environment monitoring center is forwarded to after being handled；Mangrove growing environment monitoring center is used to carry out analyzing processing and display to the mangrove growing environment information that base station equipment is sent, and alarms in mangrove growing environment Information abnormity.The present invention realizes the intellectual monitoring of mangrove growing environment state using wireless sensor network technology.
Description
Technical field
The present invention relates to mangrove monitoring technical fields, and in particular to mangrove growing environment wireless monitor system.
Background technology
Requirement of the mangrove to growing environment is stringenter, so can reflect the healthy feelings of seashore according to growth situation
Condition.In the prior art, the growing state of mangrove, the working efficiency of this mode are known generally by way of manually going on patrol
It is low, do not meet the technology trend of intelligent automation.
Invention content
In view of the above-mentioned problems, the present invention provides mangrove growing environment wireless monitor system.
The purpose of the present invention is realized using following technical scheme：
Provide mangrove growing environment wireless monitor system, including environmentally sensitive monitoring device, base station equipment and mangrove
Woods growing environment monitoring center；The environmentally sensitive monitoring device includes multiple sensor nodes, and sensor node is to mangrove
Growing environment is monitored perception, and the mangrove growing environment information of acquisition is sent to base station equipment；The base station equipment
The mangrove growing environment information that each sensor node is sent is converged, is forwarded to after being handled in the monitoring of mangrove growing environment
The heart；The mangrove growing environment information that mangrove growing environment monitoring center is used to send base station equipment carry out analyzing processing with
It has been shown that, and alarm in mangrove growing environment Information abnormity.
Preferably, mangrove growing environment information includes the temperature, humidity and/or Lighting information of mangrove growing environment.
Wherein, at least one following sensors built in sensor node：
Temperature sensor, humidity sensor, optical sensor.
Preferably, mangrove growing environment monitoring center includes memory, processor and display, and memory is used for base
The mangrove growing environment information that station equipment is sent is stored；The mangrove growth ring that processor is used to send base station equipment
Border information carries out analyzing processing；Display is for showing mangrove growing environment information curve and/or topological diagram.
Preferably, mangrove growing environment wireless monitor system further includes the alarm being connect with processor, works as mangrove
When growing environment information is beyond the corresponding secure threshold set, the processor driving alarm is alarmed.
Beneficial effects of the present invention are：Mangrove growing environment monitoring is realized using wireless sensor network technology, is kept away
Exempt from largely to connect up, monitoring accuracy is high, compared with prior art, has the advantages that work efficiency is high, saves workload, and its intelligence
Change, the degree of automation is greatly improved.
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 structural schematic block diagram of Fig. 1 one embodiment of the invention mangrove growing environment wireless monitor systems；
Fig. 2 is the block diagram representation of the mangrove growing environment monitoring center of one embodiment of the invention.
Reference numeral：
Environmentally sensitive monitoring device 1, base station equipment 2, mangrove growing environment monitoring center 3, alarm 4, memory 10,
Processor 20, display 30.
Specific implementation mode
The invention will be further described with the following Examples.
Referring to Fig. 1, mangrove growing environment wireless monitor system provided in this embodiment, including environmentally sensitive monitoring device
1, base station equipment 2 and mangrove growing environment monitoring center 3.
Environmentally sensitive monitoring device 1 includes multiple sensor nodes, and sensor node supervises mangrove growing environment
Perception is surveyed, and the mangrove growing environment information of acquisition is sent to base station equipment 2.
Base station equipment 2 converges the mangrove growing environment information that each sensor node is sent, and is forwarded to after being handled red
Woods growing environment monitoring center 3.
Mangrove growing environment monitoring center 3 is for dividing the mangrove growing environment information that base station equipment 2 is sent
Analysis processing and display, and alarm in mangrove growing environment Information abnormity.
Wherein, mangrove growing environment information includes the temperature, humidity and/or Lighting information of mangrove growing environment.
Wherein, at least one following sensors built in sensor node：
Temperature sensor, humidity sensor, optical sensor.
Optionally, as shown in Fig. 2, mangrove growing environment monitoring center 3 includes memory 10, processor 20, display
30, memory 10 is for storing the mangrove growing environment information that base station equipment 2 is sent；Processor 20 is used for base station
The mangrove growing environment information that equipment 2 is sent carries out analyzing processing；Display 30 is for showing mangrove growing environment information
Curve and/or topological diagram.
Optionally, system further includes the alarm 4 being connect with processor 20, when mangrove growing environment information is beyond correspondence
When the secure threshold of setting, the processor 20 drives alarm 4 to alarm.
Wherein, the alarm 30 includes buzzer siren or audible-visual annunciator, and the present embodiment is not construed as limiting this.
The above embodiment of the present invention realizes mangrove growing environment monitoring using wireless sensor network technology, avoids big
Amount wiring, monitoring accuracy is high, compared with prior art, has the advantages that work efficiency is high, saves workload, and its intelligence,
The degree of automation is greatly improved.
In one embodiment, sensor node Optimization deployment is in mangrove growing environment monitoring region, specially：
(1) mangrove growing environment monitoring region mean virtual is divided into multiple equal-sized monitoring subregions, and
Marking serial numbers；
(2) according to numeric order, each monitoring subregion is sensed using improved firefly optimization algorithm successively
The Optimization deployment of device node.
The present embodiment optimizes deployment in the way of the Optimization deployment of subregion to sensor node, greatly improves
The efficiency of deployment is optimized to sensor node.
Wherein, the Optimization deployment that sensor node is carried out using improved firefly optimization algorithm, is specifically included：
(1) parameter initialization, setting maximum iteration t are carried outmaxIt is even number with firefly number M, M；
(2) deployment firefly group, every firefly represent a kind of sensor node deployment scheme, the position where firefly
The position for characterizing each sensor node is set, it is X to define positions of the firefly i in the t times iterationi(t)={ xe(t) | e=1,
2,…,ni, wherein xe(t) it is the position of e-th of sensor node in firefly i, niThe sensor node represented for firefly i
Sensor node quantity in deployment scheme；
(3) the corresponding in running order sensor node set of every firefly is determined, every firefly of calculating
Fitness, and record globally optimal solution Xg(t)；
(4) by all firefly random divisions be the identical group of two scales, to the firefly in each group according to
The descending sequence of fitness is arranged, and that the firefly in group is divided into M scale is identical according to putting in order
Population, each population has m firefly, to being always divided into the identical population of 2M scale；
(5) in each population, the firefly position worst to fitness is updated, and the part for completing each population is searched
Rope；
(6) it after all populations complete local search, returns (4), until completing the local search number V of settingmaxAfterwards,
Update globally optimal solution Xg(t)；
(7) (3), (4), (5), (6) t are recycledmaxIt is secondary, globally optimal solution Xg(t) corresponding sensor node deployment scheme is
For optimal sensor node deployment scheme, sensor node deployment is carried out using the optimal sensor node deployment scheme.
Wherein, set the calculation formula of fitness as：
In formula, Fi[Xi(t)] be firefly i in current location Xi(t) fitness, AiIt is in work to be all in firefly i
Make the monitoring area that the sensor node of state is formed, A indicates the area in mangrove growing environment monitoring region, ΩiIndicate firefly
The corresponding in running order sensor node set of fireworm i,For ΩiIn the sensor node quantity that has,For firefly
The neighbor node set of k-th of sensor node in fireworm i, wherein neighbor node are positioned at k-th of sensor node
Communication range in other sensors node, dμkFor k-th of sensor node and itsIn the μ neighbor node it
Between distance, DkFor the mean value of k-th of sensor node and its neighbor node distance,ForThe sensor section having
Point quantity, ν1、ν2For the weighted value of setting.
In the prior art, for firefly optimization algorithm, every firefly and other fireflies carry out fluorescein friendship
Change and carried out in neighborhood space, therefore the phenomenon that glowworm swarm algorithm is not in local extremum, if there is only firefly from
Body has very more fluoresceins, and the range influenced can only be the neighborhood where it so that group's optimal information can not be whole
It is exchanged in a group, algorithm the convergence speed is caused to reduce.Based on the problem, the present embodiment improves firefly optimization and calculates
Method, by carrying out group's division and population dividing to firefly population so that group's optimal information can in entire group into
Row exchange, improve the degree of convergence and precision of algorithm effectively reduces mangrove so as to which the best network coverage is better achieved
The energy consumption of the information collection of woods growing environment and transmission；
On the other hand, the present embodiment constructs new fitness function from the angle of redundancy and the Node distribution uniformity,
The quantity of sensor node can be reduced to the greatest extent under the premise of ensureing network overlapping effect.
In one embodiment, the firefly position worst to fitness is updated, and is specifically included：
(1) firefly luciferin update is carried out：
lc(α+1)=(1- ρ) lc(α)+δFc[Xc(t)]
In formula, lc(α+1) indicates the fluorescein concentration of the worst firefly c of fitness in the updated, l6(α) is more
The fluorescein concentration of firefly c before new, α are update times, and ρ indicates light of firefly concentration decline coefficient, and ρ ∈ (0,1), δ are fluorescence
Plain turnover rate, F6[X6(t)] be firefly c in fitness before the update；
(2) neighborhood of firefly is found, and calculates movement probability according to the following formula, and therefrom selects a movement
The neighbours firefly of maximum probability, and moved to it：
In formula, P6dWhat expression fitness worst firefly c was moved when being updated at the α times to its direction neighbours firefly d
Probability,For the neighbor node set of f-th of sensor node in firefly c,ld(α) is firefly
Fluorescein concentration when fireworm d is updated at the α times, lf(α) is fluorescein concentration when firefly f is updated at the α times；
(3) step-length for determining firefly movement, the location updating of firefly is carried out according to the step-length according to the following formula：
In formula, X6(α+1) indicates the positions of the worst firefly c of fitness in the updated, X6(α) indicates firefly c more
Position before new,Indicate the step-length of firefly c movements, Xδ(α) indicates the present bit of the maximum neighbours firefly of movement probability
It sets, ‖ Xδ(α)-X6(α) ‖ is Xδ(α) and X6Standard Euclidean distance between (α)；
(4) current dynamic decision domain is calculated：
In formula, R6(α) is dynamic decision domain when firefly c is updated at the α times, R6(α -1) is firefly c at α -1 times
Dynamic decision domain when update, R0To perceive domain radius, β is the turnover rate in dynamic decision domain, is a constant；NTFor firefly
Amount threshold,Neighbours' firefly quantity when being updated at the α times for firefly c；
(5) fitness of firefly is calculated according to position in the updated, if calculated fitness is worse than former adaptation
Degree, is according to the following formula updated the position of each sensor node in firefly：
In formula, xθ(7+1) is the position of the θ sensor node in the updated in firefly c, xθ(7) it is in firefly c
The position of the θ sensor node before the update,For the θ biography in the maximum neighbours firefly of the movement probability
The current location of sensor node；For firefly c institute in space, the θ in the optimal firefly of fitness senses
The current location of device node；τ1、τ2、τ3For the weighted value of setting.
For firefly optimization algorithm, there are algorithm the convergence speed, optimization precision in firefly position prodigious
It influences, in unmodified firefly optimization algorithm, the fitness before movement can be better than the fitness after movement, firefly
Algorithm can not restrain in the overall situation.The present embodiment improves existing firefly optimization algorithm, in the updated adaptation of firefly
When degree is not so good as fitness before the update, the position of each sensor node in firefly is updated, firefly is improved
Diversity, so as to improve convergence energy.
In one embodiment, the calculation formula of the step-length of firefly movement is set as：
In formula,Indicate the step-length of firefly c movements,For the maximum step-length of setting,For the most small step of setting
It is long, 7maxIt is current update times, R for the maximum update times of setting, 76(t) the current dynamic decision domain for being firefly c,
dcδFor the distance between firefly c and the maximum neighbours firefly δ of its movement probability.
In firefly optimization algorithm, each firefly finds optimal value, therefore the shifting of firefly by constantly moving
Dynamic process is extremely important.The moving step length of firefly is a fixed value in the glowworm swarm algorithm of the prior art, such as the step of firefly
Long setting is too small, and convergence rate can be caused excessively slow, if step-length setting is excessive, after convergence the phase skip optimal solution.The present embodiment
In, the step-length of firefly movement carries out adaptive updates with the update in update times and the dynamic decision domain of firefly, can
The convergence rate and precision of firefly optimization algorithm are effectively improved, the ability of firefly optimization algorithm global optimizing is improved, to
The efficiency and precision for improving sensor node Optimization deployment, to be efficiently completed acquisition and the biography of mangrove growing environment information
It is defeated to lay a good foundation.
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 (7)
1. mangrove growing environment wireless monitor system, characterized in that including environmentally sensitive monitoring device, base station equipment and mangrove
Woods growing environment monitoring center；The environmentally sensitive monitoring device includes multiple sensor nodes, and sensor node is to mangrove
Growing environment is monitored perception, and the mangrove growing environment information of acquisition is sent to base station equipment；The base station equipment
The mangrove growing environment information that each sensor node is sent is converged, is forwarded to after being handled in the monitoring of mangrove growing environment
The heart；The mangrove growing environment information that mangrove growing environment monitoring center is used to send base station equipment carry out analyzing processing with
It has been shown that, and alarm in mangrove growing environment Information abnormity.
2. mangrove growing environment wireless monitor system according to claim 1, characterized in that the mangrove growth ring
Border information includes the temperature, humidity and/or Lighting information of mangrove growing environment.
3. mangrove growing environment wireless monitor system according to claim 1, characterized in that mangrove growing environment is supervised
Control center includes memory, processor and display, the mangrove growing environment information that memory is used to send base station equipment
It is stored；Processor is used to carry out analyzing processing to the mangrove growing environment information that base station equipment is sent；Display is used for
Show mangrove growing environment information curve and/or topological diagram.
4. mangrove growing environment wireless monitor system according to claim 3, characterized in that mangrove growing environment is supervised
Control center further includes the alarm being connect with processor, when secure threshold of the mangrove growing environment information beyond corresponding setting
When, the processor driving alarm is alarmed.
5. according to claim 1 any one of them mangrove growing environment wireless monitor system, characterized in that sensor node
The built-in following sensors of at least one：
Temperature sensor, humidity sensor, optical sensor.
6. according to claim 1-5 any one of them mangrove growing environment wireless monitor systems, characterized in that sensor section
Point Optimization deployment is in mangrove growing environment monitoring region, specially：
(1) mangrove growing environment monitoring region mean virtual is divided into multiple equal-sized monitoring subregions, and marked
Serial number；
(2) according to numeric order, use improved firefly optimization algorithm into line sensor section each monitoring subregion successively
The Optimization deployment of point.
7. mangrove growing environment wireless monitor system according to claim 6, characterized in that described to use improved firefly
Fireworm optimization algorithm carries out the Optimization deployment of sensor node, specifically includes：
(1) parameter initialization, setting maximum iteration t are carried outmaxIt is even number with firefly number M, M；
(2) deployment firefly group, every firefly represent a kind of sensor node deployment scheme, the position table where firefly
The position of each sensor node is levied, it is X to define positions of the firefly i in the t times iterationi(t)={ xe(t) | e=1,2 ...,
ni, wherein xe(t) it is the position of e-th of sensor node in firefly i, niThe sensor node deployment represented for firefly i
Sensor node quantity in scheme；
(3) it determines the corresponding in running order sensor node set of every firefly, calculates the adaptation of every firefly
Degree, and record globally optimal solution Xg(t)；
(4) it is the identical group of two scales by all firefly random divisions, to the firefly in each group according to adaptation
It spends descending sequence to be arranged, and the firefly in group is divided into identical kind of M scale according to putting in order
Group, each population have m firefly, to always be divided into the identical population of 2M scale；
(5) in each population, the firefly position worst to fitness is updated, and completes the local search of each population；
(6) it after all populations complete local search, returns (4), until completing the local search number V of settingmaxAfterwards, it updates
Globally optimal solution Xg(t)；
(7) (3), (4), (5), (6) t are recycledmaxIt is secondary, globally optimal solution Xg(t) corresponding sensor node deployment scheme is most
Excellent sensor node deployment scheme carries out sensor node deployment using the optimal sensor node deployment scheme.
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