CN108398280A - Build a bridge structural safety monitoring system - Google Patents
Build a bridge structural safety monitoring system Download PDFInfo
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- CN108398280A CN108398280A CN201810091553.0A CN201810091553A CN108398280A CN 108398280 A CN108398280 A CN 108398280A CN 201810091553 A CN201810091553 A CN 201810091553A CN 108398280 A CN108398280 A CN 108398280A
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- firefly
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/004—Testing the effects of speed or acceleration
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Abstract
The present invention provides the structural safety monitoring systems that builds a bridge, including wireless sensor network monitoring device, base station equipment and data processing platform (DPP)；The wireless sensor network monitoring device includes multiple sensor nodes, and sensor node is monitored perception to each dangerous position of bridge, and the bridge dangerous position monitoring data of acquisition are sent to base station equipment；The base station equipment converges the bridge dangerous position monitoring data that each sensor node is sent, and data processing platform (DPP) is forwarded to after being handled；Data processing platform (DPP) exports monitoring result for the bridge dangerous position monitoring data that base station equipment is sent to be analyzed and handled.The present invention realizes the safety monitoring of bridge structure using wireless sensor network technology, and system structure is simple, and monitoring accuracy is higher, and can be effectively saved manpower and materials.
Description
Technical field
The present invention relates to bridge monitoring fields, and in particular to build a bridge structural safety monitoring system.
Background technology
In the related technology, bridge is monitored using wired monitoring network, and on the one hand wired monitoring network needs cloth
If a large amount of electric power and the communications cable, cost is higher, and layout difficulty is big, needs to waste more manpower and materials.
Invention content
The structural safety monitoring system in view of the above-mentioned problems, present invention offer builds a bridge.
The purpose of the present invention is realized using following technical scheme：
Provide the structural safety monitoring system that builds a bridge, including wireless sensor network monitoring device, base station equipment and
Data processing platform (DPP)；The wireless sensor network monitoring device includes multiple sensor nodes, and sensor node is each to bridge
Dangerous position is monitored perception, and the bridge dangerous position monitoring data of acquisition are sent to base station equipment；The base station is set
The standby bridge dangerous position monitoring data for converging each sensor node and sending, data processing platform (DPP) is forwarded to after being handled；Number
According to processing platform for the bridge dangerous position monitoring data that base station equipment is sent to be analyzed and handled, and export monitoring knot
Fruit.
Preferably, the bridge dangerous position monitoring data include the stress data of bridge dangerous position, acceleration information,
Displacement data.
Preferably, the data processing platform (DPP) includes processor and display, the bridge danger portion which will receive
Position monitoring data are compared with the secure threshold of corresponding setting, export comparison result, and be compared result by display and show
Show.
Beneficial effects of the present invention are：The safety monitoring that bridge structure is realized using wireless sensor network technology is
It unites simple in structure, monitoring accuracy is higher, and can be effectively saved manpower and materials.
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；
Fig. 2 is the block diagram representation of the data processing platform (DPP) of one embodiment of the invention.
Reference numeral：
Wireless sensor network monitoring device 1, base station equipment 2, data processing platform (DPP) 3, processor 10, display 20.
Specific implementation mode
The invention will be further described with the following Examples.
Referring to Fig. 1, the structural safety monitoring system provided in this embodiment that builds a bridge, including radio sensor network monitoring
Device 1, base station equipment 2 and data processing platform (DPP) 3.
Wireless sensor network monitoring device 1 includes multiple sensor nodes for being set to each dangerous position of bridge, multiple
Sensor node sets up wireless sensor network by Ad hoc mode.
Wherein, sensor node is used to be monitored perception to each dangerous position of bridge, and by the bridge danger portion of acquisition
Position monitoring data are sent to base station equipment 2.
Base station equipment 2 converges the bridge dangerous position monitoring data that each sensor node is sent, and is forwarded to after being handled
Data processing platform (DPP) 3.
Data processing platform (DPP) 3 is used to that the bridge dangerous position monitoring data that base station equipment 2 is sent to be analyzed and be handled,
And export monitoring result.
Wherein, the bridge dangerous position monitoring data include the stress data, acceleration information, position of bridge dangerous position
Move data.Sensor node includes the sensor for being detected to bridge dangerous position, and wherein sensor includes that stress passes
Sensor, acceleration transducer, displacement sensor.
In one embodiment, as shown in Fig. 2, data processing platform (DPP) 3 includes processor 10 and display 20, the processor
10 are compared the bridge dangerous position monitoring data received with the secure threshold of corresponding setting, output comparison result, and by
Display 20 is compared the results show that realize the safety monitoring of bridge structure.
Optionally, which is computer or Cloud Server.
The above embodiment of the present invention realizes the safety monitoring of bridge structure using wireless sensor network technology, avoids
Wiring, system structure is simple, and monitoring accuracy is higher, and can be effectively saved manpower and materials.
In one embodiment, when carrying out the deployment of sensor node, bridge structure safe is monitored into region mean virtual
Multiple equal-sized monitoring subregions, and marking serial numbers are divided into, according to numeric order, each monitoring subregion is adopted successively
The deployment of sensor node is optimized with improved firefly optimization algorithm.
The present embodiment optimizes the deployment of sensor node, advantageously reduces the acquisition of bridge dangerous position monitoring data
Energy consumption, to save the communications cost of bridge monitoring；Sensor node is carried out in the way of the Optimization deployment of subregion excellent
Change deployment, the efficiency for optimizing deployment to sensor node can be greatly improved.
Wherein, described that the deployment of sensor node is optimized using improved firefly optimization algorithm, it specifically includes：
(1) parameter initialization, setting maximum iteration e are carried outmaxIt is even number with firefly number M, M, disposes firefly
Group, every firefly represent a kind of sensor node deployment scheme, and the position where firefly characterizes each sensor node
Position, defining positions of the firefly i in the e times iteration isWhereinFor the light of firefly
The position of t-th of sensor node, n in worm iiSensor node in the sensor node deployment scheme represented for firefly i
Quantity；
(2) the corresponding in running order sensor node set of every firefly is determined, every firefly of calculating
Fitness, and record globally optimal solution Yg(e)；
(3) 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；
(4) in each population, the firefly position worst to fitness is updated, and the part for completing each population is searched
Rope；
(5) it after all populations complete local search, returns (4), until completing the local search number V of settingmaxAfterwards,
Update globally optimal solution Yg(e)；
(6) (2), (3), (4), (5) e are recycledmaxIt is secondary, globally optimal solution Yg(e) 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.
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 algorithm, by carrying out group's division to firefly population
And population dividing so that group's optimal information can be exchanged in entire group, improve the degree of convergence and precision of algorithm,
So as to which the best network coverage is better achieved, the energy of bridge dangerous position monitoring data acquisition and transmission is effectively reduced
Consumption.
Wherein, the calculation formula for setting fitness is as follows：
In formula, Qi[Yi(e)] be firefly i in current location Yi(e) fitness, WiIt is in work to be all in firefly i
Make the monitoring area that the sensor node of state is formed, W indicates the area in bridge structure safe monitoring region, ΩiIndicate the light of firefly
The corresponding in running order sensor node set of worm i,For ΩiIn the sensor node quantity that has,For the light of firefly
The neighbor node set of the 6th sensor node in worm i, wherein neighbor node are positioned at the 6th sensor node
Other sensors node in communication range,bxFor the 6th sensor node and itsIn between b-th of neighbor node
Distance, 0xFor the mean value of the 6th sensor node and its neighbor node distance,ForThe sensor node having
Quantity, v1、v2For the weighted value of setting.
The present embodiment constructs new fitness function from the angle of redundancy and the Node distribution uniformity, can ensure net
Under the premise of network coverage effect, reduce the quantity of sensor node to the greatest extent, save the structural safety monitoring system that builds a bridge at
This.
In one embodiment, the firefly position worst to fitness is updated, and is specifically included：
(1) firefly luciferin update is carried out：
Zh(β+1)=δ Qh[Yh(e)]+(1-u)Zh(β)
In formula, Zh(β+1) indicates the fluorescein concentration of the worst firefly h of fitness in the updated, Zh(β) is more
The fluorescein concentration of firefly h before new, β are update times, and u indicates light of firefly concentration decline coefficient, and u ∈ (0,1), δ are fluorescence
Plain turnover rate, Qh[Yh(e)] be firefly h in fitness before the update；
(2) neighborhood for finding firefly calculates movement probability, and therefrom selects the maximum neighbours of movement probability
Firefly, and moved to it；
(3) step-length for determining firefly movement carries out the location updating of firefly according to the step-length；
(4) current dynamic decision domain is calculated：
In formula, Ch(β) is dynamic decision domain when firefly c is updated at the β times, Ch(β -1) is firefly h at β -1 times
Dynamic decision domain when update, C0To perceive domain radius, β is the turnover rate in dynamic decision domain, is a constant；BTFor firefly
Amount threshold,Neighbours' firefly quantity when being updated at the β 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,For the position of r-th of sensor node in the updated in firefly h,For firefly h
In the position of r-th of sensor node before the update,For r-th in the maximum neighbours firefly of the movement probability
The current location of sensor node；For firefly h institute in space, r-th of biography in the optimal firefly of fitness
The current location of sensor node；τ1、τ2、τ3For the weighted value of setting.
The calculation formula of wherein movement probability is：
In formula, LhdWhat expression fitness worst firefly h was moved when being updated at the β times to its direction neighbours firefly d
Probability,For the neighbor node set of f-th of sensor node in firefly h,Zd(β) is
Fluorescein concentration when firefly d is updated at the β times, ZS(β) is fluorescein concentration when firefly f is updated at the β times.
Wherein, location update formula is：
In formula, Yh(β+1) indicates the positions of the worst firefly h of fitness in the updated, Yh(β) indicates firefly h more
Position before new, UhIndicate the step-length of firefly h movements, Yδ(β) indicates the present bit of the maximum neighbours firefly of movement probability
It sets, ‖ Yδ(β)-Yh(β) ‖ is Yδ(β) and YhStandard Euclidean distance between (β).
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, if phIndicate the step-length of firefly h movements, phCalculation formula be：
In formula, pmaxFor the maximum step-length of setting, pminFor the minimum step of setting, βmaxFor the maximum update times of setting,
β is current update times, Ch(e) the current dynamic decision domain for being firefly h, dhδIt is that firefly h and its movement probability are maximum
The distance between neighbours firefly δ.
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.
In the present embodiment, the step-length of firefly movement is carried out with the update in update times and the dynamic decision domain of firefly
Adaptive updates can effectively improve the convergence rate and precision of firefly optimization algorithm, and it is global to improve firefly optimization algorithm
The ability of optimizing, to improve the efficiency and precision of sensor node Optimization deployment, to be efficiently completed bridge dangerous position
The acquisition and transmission of monitoring data 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 (6)
1. build a bridge structural safety monitoring system, characterized in that including wireless sensor network monitoring device, base station equipment and
Data processing platform (DPP)；The wireless sensor network monitoring device includes multiple sensor nodes, and sensor node is each to bridge
Dangerous position is monitored perception, and the bridge dangerous position monitoring data of acquisition are sent to base station equipment；The base station is set
The standby bridge dangerous position monitoring data for converging each sensor node and sending, data processing platform (DPP) is forwarded to after being handled；Number
According to processing platform for the bridge dangerous position monitoring data that base station equipment is sent to be analyzed and handled, and export monitoring knot
Fruit.
2. the structural safety monitoring system according to claim 1 that builds a bridge, characterized in that the bridge dangerous position prison
Measured data includes the stress data, acceleration information, displacement data of bridge dangerous position.
3. the structural safety monitoring system according to claim 1 that builds a bridge, characterized in that the data processing platform (DPP) packet
Processor and display are included, which carries out the bridge dangerous position monitoring data received with the secure threshold of corresponding setting
Compare, exports comparison result, and result is compared by display and is shown.
4. being built a bridge structural safety monitoring system according to claim 1-3 any one of them, characterized in that into line sensor
When the deployment of node, bridge structure safe monitoring region mean virtual is divided into multiple equal-sized monitoring subregions, and
Marking serial numbers use improved firefly optimization algorithm to sensor section each monitoring subregion successively according to numeric order
The deployment of point optimizes.
5. the structural safety monitoring system according to claim 4 that builds a bridge, characterized in that described to use the improved light of firefly
Worm optimization algorithm optimizes the deployment of sensor node, specifically includes：
(1) parameter initialization, setting maximum iteration e are carried outmaxIt is even number with firefly number M, M, deployment firefly group
Body, every firefly represent a kind of sensor node deployment scheme, and the position where firefly characterizes the position of each sensor node
It sets, defining positions of the firefly i in the e times iteration isWhereinFor the light of firefly
The position of t-th of sensor node, n in worm iiSensor node in the sensor node deployment scheme represented for firefly i
Quantity；
(2) 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 Yg(e)；
(3) 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；
(4) in each population, the firefly position worst to fitness is updated, and completes the local search of each population；
(5) it after all populations complete local search, returns (4), until completing the local search number V of settingmaxAfterwards, it updates
Globally optimal solution Yg(e)；
(6) (2), (3), (4), (5) e are recycledmaxIt is secondary, globally optimal solution Yg(e) corresponding sensor node deployment scheme is most
Excellent sensor node deployment scheme carries out sensor node deployment using the optimal sensor node deployment scheme.
6. the structural safety monitoring system according to claim 5 that builds a bridge, characterized in that the calculating for setting fitness is public
Formula is as follows：
In formula, Qi[Yi(e)] be firefly i in current location Yi(e) fitness, WiIt is in work shape to be all in firefly i
The monitoring area that the sensor node of state is formed, W indicate the area in bridge structure safe monitoring region, ΩiIndicate i pairs of firefly
The in running order sensor node set answered,For ΩiIn the sensor node quantity that has,For in firefly i
The 6th sensor node neighbor node set, wherein neighbor node be positioned at the 6th sensor node communication model
Enclose interior other sensors node, dbxFor the 6th sensor node and itsIn the distance between b-th of neighbor node,
DxFor the mean value of the 6th sensor node and its neighbor node distance,ForThe sensor node quantity having, v1、
v2For the weighted value of setting.
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| CN110987499A (en) * | 2019-12-17 | 2020-04-10 | 中交路桥建设有限公司 | Bridge dynamic load test method |
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