CN108154669A - Intelligent monitoring system for bridge - Google Patents
Intelligent monitoring system for bridge Download PDFInfo
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- CN108154669A CN108154669A CN201810002434.3A CN201810002434A CN108154669A CN 108154669 A CN108154669 A CN 108154669A CN 201810002434 A CN201810002434 A CN 201810002434A CN 108154669 A CN108154669 A CN 108154669A
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- bridge
- path
- base station
- dangerous position
- node
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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
-
- 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
-
- 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)
- Mobile Radio Communication Systems (AREA)
Abstract
The present invention provides intelligent monitoring system for bridge, including bridge monitoring wireless sensor network, base station equipment and bridge monitoring terminal；The bridge monitoring wireless sensor network includes multiple sensor nodes, and to bridge, each dangerous position is monitored perception, and the bridge dangerous position perception data of acquisition is sent to base station equipment to sensor node；The base station equipment converges the bridge dangerous position perception data that each sensor node is sent, and bridge monitoring terminal is forwarded to after being handled；Bridge monitoring terminal is used to that the bridge dangerous position perception data that base station equipment is sent to be analyzed and processed and shown, and is alarmed in bridge dangerous position perception data exception.The present invention realizes the wireless monitor of bridge using wireless sensor network technology, can be effectively saved manpower and materials.
Description
Technical field
The present invention relates to bridge monitoring fields, and in particular to intelligent monitoring system for bridge.
Background technology
In the relevant technologies, 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
In view of the above-mentioned problems, the present invention provides intelligent monitoring system for bridge.
The purpose of the present invention is realized using following technical scheme：
Intelligent monitoring system for bridge is provided, including bridge monitoring wireless sensor network, base station equipment and bridge monitoring
Terminal；The bridge monitoring wireless sensor network includes multiple sensor nodes, sensor node each dangerous position to bridge
Perception is monitored, and the bridge dangerous position perception data of acquisition is sent to base station equipment；The base station equipment convergence is each
The bridge dangerous position perception data that sensor node is sent, is forwarded to bridge monitoring terminal after being handled；Bridge monitoring is whole
It holds and is analyzed and processed and shown, and in bridge dangerous position for the bridge dangerous position perception data sent to base station equipment
It alarms during perception data exception.
Preferably, the stress data of the bridge dangerous position perception data including bridge dangerous position, acceleration information,
Displacement data.
Preferably, the bridge monitoring terminal includes data processing module and display module, which will receive
To bridge dangerous position perception data be compared with the secure threshold of corresponding setting, comparison result is exported, and by display mould
Block is compared result and shows.
Beneficial effects of the present invention are：The wireless monitor of bridge, system knot are realized using wireless sensor network technology
Structure is simple, and 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 form 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 intelligent monitoring system for bridge；
Fig. 2 is the block diagram representation of the bridge monitoring terminal of one embodiment of the invention.
Reference numeral：
Bridge monitoring wireless sensor network 1, base station equipment 2, bridge monitoring terminal 3, alarm 4, data processing module
10th, display module 20.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, intelligent monitoring system for bridge provided in this embodiment, including bridge monitoring wireless sensor network 1, base
Station equipment 2 and bridge monitoring terminal 3.
Bridge monitoring wireless sensor network 1 includes multiple sensor nodes, sensor node each dangerous position to bridge
Perception is monitored, and the bridge dangerous position perception data of acquisition is sent to base station equipment 2.
Base station equipment 2 converges the bridge dangerous position perception data that each sensor node is sent, and is forwarded to after being handled
Bridge monitoring terminal 3.
Bridge monitoring terminal 3 be used for the bridge dangerous position perception data that base station equipment 2 is sent carry out analyzing and processing with
It has been shown that, and alarm in bridge dangerous position perception data exception.
Wherein, the bridge dangerous position perception data includes 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 is passed including stress
Sensor, acceleration transducer, displacement sensor.
In one embodiment, as shown in Fig. 2, bridge monitoring terminal 3 includes data processing module 10 and display module 20,
The bridge dangerous position perception data received is compared by the data processing module 10 with the secure threshold of corresponding setting, output
Comparison result, and result is compared by display module 20 and is shown.Display module 20 is additionally operable to real-time display bridge dangerous position
Perception data, so as to the state for each dangerous position of monitoring personnel's real time inspection bridge.
Optionally, which is computer or Cloud Server.
Optionally, system further includes the alarm 4 being connect with data processing module 10, when bridge dangerous position perception data
During beyond the secure threshold of corresponding setting, the data processing module 10 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 the wireless monitor of bridge using wireless sensor network technology, avoids cloth
Line, system structure is simple, and monitoring accuracy is higher, and can be effectively saved manpower and materials.
In one embodiment, the bridge dangerous position perception data of acquisition is route by sensor node by parallel multipath
Mode is transmitted to base station equipment 2, specially：Sensor node using by multiple preferred routed paths that base station equipment 2 determines as
The path of bridge dangerous position perception data transmission calculates the sensible load of every preferred routed path, by the bridge of acquisition
Dangerous position perception data is distributed to each preferred routed path and is transmitted after dividing according to load percentage.
Bridge dangerous position perception data is diverted in a plurality of routed path and is carried out at the same time transmission by the present embodiment, Neng Gouyou
Effect improves the efficiency of bridge dangerous position perception data transmission.
In one embodiment, base station equipment 2 determines that the process of multiple preferred routed paths of sensor node includes：
(1) base station equipment 2 obtains each sensor node to base in the netinit stage to Web broadcast initialization information
The minimum hop count of station equipment 2；
(2) multiple path detection packets that receiving sensor node is sent, if the sensor node of originating path detection packet is
Source node obtains source node to a plurality of routed path of base station equipment 2, wherein each path detection by processing path detection packet
Packet carries the essential information of a routed path, and the essential information includes the sensor section included in the routed path
Point, link-state information and bandwidth requirement information, the sensor node is is responsible for forwarding bridge dangerous position perception data
Sensor node；
(3) overall delay of every routed path is determined, the routed path that overall delay is more than to preset delay threshold is rejected,
Using remaining routed path as primary group, the fitness of wherein each particle is calculated；
(4) the routed path number M needed according to the estimation of the bandwidth demand of source node carries out M mean values to primary group and gathers
Particle is divided into M population by class according to cluster result；
(5) path optimization is carried out to M population using particle swarm optimization algorithm on multiple populations, obtains the preferred road of each population
By path；
(6) corresponding preferred routed path information is sent to source node along every preferred routed path and updates source node
Routing table, and then source node obtains multiple preferred routed paths.
The present embodiment has formulated a kind of multi-path routing algorithms on the basis of particle swarm optimization algorithm on multiple populations, and base station is set
Standby 2 determine multiple preferred routed paths of sensor node according to the multi-path routing algorithms, can efficiently reduce sensor
The burden of node.
The present embodiment in advance rejects the routed path for being unsatisfactory for delay requirement when determining primary group, will
Remaining routed path can be effectively improved the speed that routed path determines, reduce particle search as primary group
Complexity.
Wherein, the calculation formula of the fitness function of the present embodiment is：
In formula, W (a) represents the adaptive value of routed path a, and Q (a) is that current remaining minimum senses in routed path a
The dump energy of device node, E (a) are the total link expense of routed path a, and Y (a) is the maximum sensor node of routed path a
Spacing, Qmin、Emax、YmaxIt is to meet minimum energy value, the maximum link expense that network service quality requirement is set respectively
Value, maximum distance values.
The present embodiment is when designing fitness function, it is contemplated that current remaining, the total link expense of sensor node
With node spacing so that obtained multiple preferred routed paths have higher routing success rate and energy-efficient performance, ensure bridge
The reliability of dangerous position perception data transmission.
In one embodiment, path optimization is carried out to M population using particle swarm optimization algorithm on multiple populations, it is specific to wrap
It includes：
(1) each population finds out the global optimum position of oneself according to fitness value；
(2) flying speed is obtained according to following improved speed formula in each population particle：
In formula, Vk(t+1) represent particle k in the speed at t+1 moment, Vk(t) represent particle k in the speed of t moment, Xk(t)
It is particle k in the position of t moment, WkbestThe history optimal location itself undergone by particle k, WgbestIt represents to plant where particle k
The global optimum position of group, Wgbest(j) the global optimum position of j-th of population, wherein j=1 ..., M, h are represented1、h2、h3It is all
Aceleration pulse, b1、b2、b3It is all the equally distributed random number in section [0,1],For inertia weight, wherein Ψ is preset
Constant；
(3) each population particle changes self-position according to following location formula：
Xk(t+1)=Xk(t)+Vk(t+1)
In formula, Xk(t+1) represent particle k in the position at t+1 moment；
(4) reach optimization aim, export the preferred routed path W of each populationgbest(j), terminate, otherwise return to (1).
The present embodiment is based on the basis of existing particle swarm optimization algorithm on multiple populations, to particle swarm optimization algorithm on multiple populations
In speed formula be improved, on the one hand inertia weight is improved, inertia weight is defined as time change
Coefficient, so as in algorithm initial stage inertia weight be set as higher value so that particle search range bigger, and in the later stage by inertia weight
It is set as smaller value so that algorithm can restrain, and on the other hand consider the intersection of each population global optimum position, make different population
Particle can fly to different directions, avoid intersecting, so as to reduce population particle intersection probability, ensure arbitrary two
Common sensor node is not present between the preferred routed path of item.
In above-mentioned implementation, base station equipment 2 often receives a path detection packet of source node transmission, then obtains a routing
Path.Wherein, path detection packet from source node to base station equipment 2 process, specifically include：Source node is visited to Web broadcast path
Packet is surveyed, the sensor node for receiving path detection packet determines whether the sensor node number included in path detection packet is more than pre-
If number threshold value, when more than when give up the path detection packet, when being not above by the ID of itself, current remaining and
One hop link information between upper hop sensor node is added in the path detection packet of reception, forms new path detection
Packet, and a neighbor node is selected the new path detection packet to be sent to next-hop node, until road as next-hop node
Diameter detection packet reaches base station equipment 2.
Wherein, neighbor node is defined as the other sensors node in sensor node communication range.Sensor section
It is specific to perform when point selects a neighbor node as next-hop node：
(1) neighbor node is randomly choosed；
(2) judge whether the neighbor node of selection meets next-hop alternative conditions, if meeting, using the neighbor node as
New route detection packet is sent to the neighbor node, if not meeting, returned (1) by next-hop node；
Next-hop alternative conditions are：
In formula, QkjRepresent the current remaining of the selected neighbor node j of sensor node k, QminMinimum for setting
Energy value, DkjFor neighbor node j to the minimum hop count of base station equipment 2, DkMost jete for sensor node k to base station equipment 2
Number, DmaxFor preset maximum hop count value, DpreThe hop count being had been subjected to before sensor node k is reached for path detection packet.
The present embodiment devises the specific mechanism of the detection packet from sensor node to 2 transmitting path of base station equipment, the mechanism
It is simple and efficient, all-sidedly and accurately can detect the relevant information for wrapping the routed path passed through by acquisition approach.
In the mechanism, the sensor node ID number included in path detection packet is satisfied the need when being more than preset number threshold value
Diameter detection packet is given up, and can prevent from forming long routed path；
In addition, by way of randomly choosing neighbor node, it can be ensured that the routed path of detection is random, and is set
Next-hop alternative conditions can avoid sensor node from choosing the next-hop node that energy is insufficient, hop count is excessive.
The present embodiment obtains routed path by above-mentioned mechanism, and the routed path got can be made to meet real-time need
It asks, improves the efficiency of link information acquisition so that sensor node can be by collected bridge dangerous position perception data reality
When be rapidly transferred to bridge monitoring terminal 3 and handled, so as to which monitoring personnel can in time take accordingly according to handling result
Precautionary measures, ensure bridge health.
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 with reference to preferred embodiment to the present invention, those of ordinary skill in the art should
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. intelligent monitoring system for bridge, it is characterized in that, including bridge monitoring wireless sensor network, base station equipment and bridge monitoring
Terminal；The bridge monitoring wireless sensor network includes multiple sensor nodes, sensor node each dangerous position to bridge
Perception is monitored, and the bridge dangerous position perception data of acquisition is sent to base station equipment；The base station equipment convergence is each
The bridge dangerous position perception data that sensor node is sent, is forwarded to bridge monitoring terminal after being handled；Bridge monitoring is whole
It holds and is analyzed and processed and shown, and in bridge dangerous position for the bridge dangerous position perception data sent to base station equipment
It alarms during perception data exception.
2. intelligent monitoring system for bridge according to claim 1, it is characterized in that, the bridge dangerous position perception data packet
Include the stress data, acceleration information, displacement data of bridge dangerous position.
3. intelligent monitoring system for bridge according to claim 1, it is characterized in that, the bridge monitoring terminal is included at data
Manage module and display module, the data processing module is by the bridge dangerous position perception data received and the safety threshold of corresponding setting
Value is compared, and exports comparison result, and be compared result by display module and show.
4. intelligent monitoring system for bridge according to claim 3, it is characterized in that, further include what is connect with data processing module
Alarm, when secure threshold of the bridge dangerous position perception data beyond corresponding setting, the data processing module driving report
Alert device is alarmed.
5. according to claim 1-3 any one of them intelligent monitoring system for bridge, it is characterized in that, sensor node is by acquisition
Bridge dangerous position perception data is transmitted to base station equipment by parallel multipath routing mode, specially：Sensor node will be by
The path that multiple preferred routed paths that base station equipment determines are transmitted as bridge dangerous position perception data, calculate every it is excellent
The sensible load of routing path is distributed to each excellent after the bridge dangerous position perception data of acquisition is divided according to load percentage
Routing path is transmitted.
6. intelligent monitoring system for bridge according to claim 5, it is characterized in that, base station equipment determines the more of sensor node
The process of a preferred routed path includes：
(1) base station equipment obtains each sensor node and is set to base station in the netinit stage to Web broadcast initialization information
Standby minimum hop count；
(2) multiple path detection packets that receiving sensor node is sent, if the sensor node of originating path detection packet is saved for source
Point obtains source node to a plurality of routed path of base station equipment, wherein each path detection packet is taken by processing path detection packet
With the essential information of a routed path, the essential information includes the sensor node, the chain that are included in the routed path
Line state information and bandwidth requirement information, the sensor node are the sensing for being responsible for forwarding bridge dangerous position perception data
Device node；
(3) overall delay of every routed path is determined, the routed path that overall delay is more than to preset delay threshold is rejected, will be surplus
Remaining routed path calculates the fitness of wherein each particle as primary group；
(4) the routed path number M needed according to the estimation of the bandwidth demand of source node carries out M mean clusters, root to primary group
Particle is divided into M population according to cluster result；
(5) path optimization is carried out to M population using particle swarm optimization algorithm on multiple populations, obtains the preferred routing road of each population
Diameter；
(6) corresponding preferred routed path information is sent to source node along every preferred routed path and updates the road of source node
By table, and then source node obtains multiple preferred routed paths.
7. intelligent monitoring system for bridge according to claim 6, it is characterized in that, path detection packet is set from source node to base station
Standby process, specifically includes：For source node to Web broadcast path detection packet, the sensor node for receiving path detection packet determines road
Whether the sensor node number that includes is more than preset number threshold value in diameter detection packet, when more than when give up the path detection
Packet, when being not above by the ID of itself, current remaining and the one hop link information between upper hop sensor node
It is added in the path detection packet of reception, forms new path detection packet, and select a neighbor node as next-hop node,
The new path detection packet is sent to next-hop node, until path detection packet reaches base station equipment.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109121226A (en) * | 2018-10-24 | 2019-01-01 | 广州益牛科技有限公司 | Longspan Bridge structural damage intelligent monitoring device |
| CN109168140A (en) * | 2018-09-04 | 2019-01-08 | 广州巨枫科技有限公司 | bridge structure health intelligent management system |
| CN109405882A (en) * | 2018-11-08 | 2019-03-01 | 郑东启 | Longspan Bridge health status monitoring device |
| CN113596765A (en) * | 2018-07-22 | 2021-11-02 | 王铁军 | Multi-mode heterogeneous IOT network |
| CN114125985A (en) * | 2021-11-18 | 2022-03-01 | 国网冀北电力有限公司电力科学研究院 | Communication network and communication method suitable for power transmission line sensing system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101969396A (en) * | 2010-09-02 | 2011-02-09 | 北京邮电大学 | Time delay and bandwidth resource-based relay selection method |
| CN101980565A (en) * | 2010-09-25 | 2011-02-23 | 重庆邮电大学 | QoS-based Ad Hoc network adaptive node speed multi-path routing method |
| CN102083238A (en) * | 2011-01-18 | 2011-06-01 | 河海大学 | ZigBee wireless Ad Hoc network system and method for monitoring security of dam |
| CN102724730A (en) * | 2012-07-09 | 2012-10-10 | 上海电机学院 | Data-fusion-based multipath routing method and device for wireless sensor network |
| CN102740395A (en) * | 2012-07-12 | 2012-10-17 | 南京邮电大学 | Self-organizing routing method facing mobile sensor network |
| CN103037465A (en) * | 2012-12-18 | 2013-04-10 | 浙江工商大学 | Feedback information and multi-path routing based wireless sensor network data transmission method |
| CN103702387A (en) * | 2014-01-08 | 2014-04-02 | 重庆邮电大学 | Social network-based vehicle-mounted self-organization network routing method |
-
2018
- 2018-01-02 CN CN201810002434.3A patent/CN108154669A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101969396A (en) * | 2010-09-02 | 2011-02-09 | 北京邮电大学 | Time delay and bandwidth resource-based relay selection method |
| CN101980565A (en) * | 2010-09-25 | 2011-02-23 | 重庆邮电大学 | QoS-based Ad Hoc network adaptive node speed multi-path routing method |
| CN102083238A (en) * | 2011-01-18 | 2011-06-01 | 河海大学 | ZigBee wireless Ad Hoc network system and method for monitoring security of dam |
| CN102724730A (en) * | 2012-07-09 | 2012-10-10 | 上海电机学院 | Data-fusion-based multipath routing method and device for wireless sensor network |
| CN102740395A (en) * | 2012-07-12 | 2012-10-17 | 南京邮电大学 | Self-organizing routing method facing mobile sensor network |
| CN103037465A (en) * | 2012-12-18 | 2013-04-10 | 浙江工商大学 | Feedback information and multi-path routing based wireless sensor network data transmission method |
| CN103702387A (en) * | 2014-01-08 | 2014-04-02 | 重庆邮电大学 | Social network-based vehicle-mounted self-organization network routing method |
Non-Patent Citations (1)
| Title |
|---|
| 蔡凌等: "一种粒子群优化的多路径路由负载均衡算法", 《小型微型计算机***》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113596765A (en) * | 2018-07-22 | 2021-11-02 | 王铁军 | Multi-mode heterogeneous IOT network |
| CN109168140A (en) * | 2018-09-04 | 2019-01-08 | 广州巨枫科技有限公司 | bridge structure health intelligent management system |
| CN109121226A (en) * | 2018-10-24 | 2019-01-01 | 广州益牛科技有限公司 | Longspan Bridge structural damage intelligent monitoring device |
| CN109405882A (en) * | 2018-11-08 | 2019-03-01 | 郑东启 | Longspan Bridge health status monitoring device |
| CN114125985A (en) * | 2021-11-18 | 2022-03-01 | 国网冀北电力有限公司电力科学研究院 | Communication network and communication method suitable for power transmission line sensing system |
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