CN103198638B - Based on the Railway Bridge Structural Health Monitoring system of wireless sensor and actor network - Google Patents

Based on the Railway Bridge Structural Health Monitoring system of wireless sensor and actor network Download PDF

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CN103198638B
CN103198638B CN201310152706.5A CN201310152706A CN103198638B CN 103198638 B CN103198638 B CN 103198638B CN 201310152706 A CN201310152706 A CN 201310152706A CN 103198638 B CN103198638 B CN 103198638B
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aggregation node
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CN103198638A (en
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陈彩莲
周之懿
关新平
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Shanghai Jiaotong University
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Abstract

The invention discloses a kind of Railway Bridge Structural Health Monitoring system based on wireless sensor and actor network, comprise the following steps: the Monitoring Data about bridge health is transferred to aggregation node by the sensor be arranged on Along Railway bridge, and aggregation node stores the data in matrix according to the time and space correlativity between data; Aggregation node is packed for the data stored in a matrix according to the data packing manner of Diapack, and prepares to be transferred to train; Aggregation node by information transmission to train, the data stream of train by reconstructing whole section to part not overlapped in the data received; Data stream is by Internet Transmission to data center, does data center utilize Matrix? the mass data that the reduction of Completion algorithm is lost.The present invention greatly reduces the cost of long-distance transmissions, and to be combined with data reconstruction algorithm the precise restoration achieved when mass data is lost to data by new data packing manner, ensure that feasibility and the reliability of this system.

Description

Based on the Railway Bridge Structural Health Monitoring system of wireless sensor and actor network
Technical field
The present invention relates to the structural healthy monitoring system of the buildings such as a kind of bridge, particularly, relate to a kind of Railway Bridge Structural Health Monitoring system based on wireless sensor and actor network.
Background technology
The operating period of bridge reaches decades, even centuries, but due to long-term load effect, material aging, environmental attack, the coupling of the factors such as fatigue effect, the structure of bridge and system inevitably will produce damage and degradation resistance, even distort, cave in.As everyone knows, bridge is the lifeline of country, and it is costly, once there is bridge collapse accident, will cause great personal injury and the damage of huge economy, and brings severe social influence.In order to grasp the performance degradation of large bridge in time, prevent the generation of paroxysmal cave-in accident, it is very necessary that the method for applied science carries out health monitoring to large bridge.Current this point obtains the extensive approval of academia, engineering circles and government department gradually.
In the past, bridge monitoring system usually adopts human at periodic intervals to detect or has the mode of line monitoring system.But human at periodic intervals's detection mode also exists many problems: 1) personal monitoring's subjectivity is strong, and some results needs by virtue of experience to estimate to obtain; 2) due to the restriction of manual detection frequency, testing result often occurs delayed than damage, can not in time to damage alarming; 3) owing to lacking Real-time Monitoring Data, cannot understand the development of damage; 4) time that normal work uses is shorter to have line monitoring system to continue; 5) wired sensor wiring complexity, troublesome maintenance; 6) what is more important, due to Traditional Man, to detect the equipment cost used expensive, bulky, need road pavement to close for a long time when detecting, the severe jamming normal operation of bridge.Meanwhile, manual detection needs the mutual coordination between multiple functional government departments and coordinates, and adds the complicacy of operation to a certain extent.Some large bridge is detected, needs testing staff to carry out work high above the ground, there is great potential safety hazard.And although wired monitoring mode can the correlation parameter of Real-time Obtaining bridge, owing to needing wiring in installation process, therefore its install and deployment time often very long, installation and maintenance cost is also very high.These factors greatly limit it and promote on a large scale, can only be applied at present in this kind of large bridge structure of large span stayed-cable bridge and suspension bridge etc. within the scope of big city.
In recent years, wireless sensor network (WirelessSensorNetwork, WSN) was more and more widely used in the structural healthy monitoring system of line of high-speed railway, to guarantee the safety of transporting.Low just because of wireless sensor network equipment cost, installation and maintenance expense is low and the feature of long service life, it is deployed in the building such as bridge, tunnel and measures and collect data, thus improve fault localization method, as data mining and innovative input process.WSN can measure the change of stress state and dynamic characteristic, comprises temperature, humidity and other environmental factors.But, measured data are transferred back to monitoring center and remain very challenging, because the position in most of bridge and tunnel is away from city.More such as be seated the bridge hornberg tunnel relevant to tunnel of the Qinghai-Tibet Railway of Qinghai-Tibet Platean, thousand zhang of salt bridges, three trouble river bridges etc.Utilize WSN will need to set up related communication base station nearby by multi-hop transmission or wide area network transmission data.This exists the low region of wide area network coverage rate for Qinghai-Tibet Railway then cannot accomplish effective monitoring, even if exist, also can increase no small communication cost.
Through finding the retrieval of existing document, the structure of existing bridge health monitoring system mainly contains following a few class:
The first kind is the bridge health monitoring system based on wired sensor network.Such as, the upper bridge health monitoring system arranged based on coaxial cable network in spit of fland nine bridge (TingKauBridge) that proposes of the people such as J.M.Ko.The reliability of this system information transmissions is strong, but the installation of a large amount of coaxial cable is not only wasted time and energy, and somewhat expensive; Moreover, the maintenance of this system is also quite difficult.
Equations of The Second Kind is the bridge health monitoring system of the wireless sensor network based on multi-hop transmission.Such as, what the people such as SukunKim proposed arranges the bridge health monitoring system of jumping wireless sensor network based on 46 Gold Gate Bridge (GoldenGateBridge) is upper.What adopt due to this system is wireless senser, with low cost needed for it, and it is convenient to install, long service life.But this system requirements DCC range sensor network can not be too far away, otherwise mass data not only can be caused to lose when transmitting, and more can increase the cost of transmission widely.
Find through retrieval again, application number is 200610073863.7, the Chinese patent that denomination of invention is " monitoring structural health conditions and information management system and method " thereof proposes a kind of monitoring structural health conditions and information management system, but this technology must be based upon under the data collected reliably can be transferred to the prerequisite of data center rapidly, therefore this technology does not prove for the applicability of data center away from the situation of bridge.
Summary of the invention
Because the above-mentioned defect of prior art, technical matters to be solved by this invention is to provide a kind of Railway Bridge Structural Health Monitoring system based on wireless sensor and actor network, the data packing manner (Diapack) of the strategy and innovation that carry out assitance data collection by a kind of actuator utilizing high-speed running train to be used as movement combines with data reconstruction algorithm MatrixCompletion and realizes the Data Collection of wireless sensor network, when can ensure that mass data is lost in the transmission, accurately reduce most data, reach the reliability of transmission, and greatly reduce the cost of long-distance transmissions.
For achieving the above object, the invention provides a kind of Railway Bridge Structural Health Monitoring system based on wireless sensor and actor network, it comprises the following steps:
Step 100: the Monitoring Data about bridge health is transferred to aggregation node by the sensor be arranged on Along Railway bridge, and aggregation node stores the data in matrix according to the time and space correlativity between data;
Step 200: aggregation node is packed for the data stored in a matrix according to the data packing manner of Diapack, and prepare to be transferred to train;
Step 300: aggregation node by information transmission to train, the data stream of train by reconstructing whole section to part not overlapped in the data received;
Step 400: data stream is by Internet Transmission to data center, and data center utilizes the mass data of MatrixCompletion algorithm reduction loss.
Described above based on the Railway Bridge Structural Health Monitoring system of wireless sensor and actor network, wherein, described step 100 comprises the following steps:
Step 110: the data collected are transferred to aggregation node by sensor;
Step 120: aggregation node constructs a two-dimentional matrix and stores the information carrying out sensor received, every a line of this matrix represents the data measured at different time at the same sensor of same position, and each of this matrix arranges the data that arrive of sensor measurement representing diverse location at one time;
Step 130: aggregation node stores the data in matrix according to the time and space correlativity between data according to the storing mode of step 120.
Further, described above based on the Railway Bridge Structural Health Monitoring system of wireless sensor and actor network, wherein, in step 110, the data that sensor collects comprise following three information: the data of the bridge structure health situation that time when sensor collects these data, the position of this sensor, sensor measurement obtain.
Described above based on the Railway Bridge Structural Health Monitoring system of wireless sensor and actor network, wherein, described step 200 comprises the following steps:
Step 210: aggregation node according to the direction of diagonal of a matrix from the upper left corner of matrix before direction, the lower right corner K data be packaged into a packet;
Step 220: if data are bundled to the data of last column xth row of matrix, then next packaged data are the data of matrix the first row (x+1)th row; In like manner, if data are bundled to the data of last row xth row of matrix, then next packaged data are the data of matrix first row (x+1)th row;
Step 230: if run into the data of having packed in the process of data packing, then jump to the data packing of the same row of next line of these data, by that analogy automatically.
Described above based on the Railway Bridge Structural Health Monitoring system of wireless sensor and actor network, wherein, described step 300 comprises the following steps:
Step 310: arrange that n+2 AP receives data ON TRAINS, wherein AP0 and AP1 is arranged in the same position of train head, and AP (n+1) is then arranged in the tailstock of train, and other AP is then uniformly distributed along train;
Step 320: when train soon arrives these bridges or tunnel, AP0 just broadcasts out the signal of " beginning "; After aggregation node receives the signal of this " beginning ", the packet be kept in buffer area of just going on the air;
Step 330: when AP1 to APn is through the transmission range of aggregation node, the packet of this part will be received; The tailstock AP (n+1) being positioned at train broadcasts the signal of " end ", then goes off the air when aggregation node receives the signal of this " end ", and the communication between train and aggregation node stops;
Step 340: by part not overlapped in the data received to the data stream reconstructing whole section.
Described above based on the Railway Bridge Structural Health Monitoring system of wireless sensor and actor network, wherein, described step 400 comprises the following steps:
Step 410: for the data stream received, svd is done to matrix and by the convex optimization problem solving minimum nuclear norm reduce lose data.
Compared with prior art, the actuator utilizing high-speed running train to be used as movement based on the Railway Bridge Structural Health Monitoring system of wireless sensor and actor network of the present invention carrys out the strategy that assitance data collects and greatly reduces the cost of long-distance transmissions, and to be combined with data reconstruction algorithm MatrixCompletion the precise restoration achieved when mass data is lost to data by new data packing manner (Diapack), ensure that feasibility and the reliability of this system.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of the Railway Bridge Structural Health Monitoring system based on wireless sensor and actor network of the present invention;
Fig. 2 is the workflow diagram of the Railway Bridge Structural Health Monitoring system based on wireless sensor and actor network of the present invention;
Fig. 3 is the process flow diagram of Diapack data packing manner of the present invention;
Fig. 4 is train of the present invention by the schematic diagram of data stream part not overlapped in the data received being reconstructed to whole section.
Embodiment
Be described further below with reference to the technique effect of accompanying drawing to design of the present invention, concrete structure and generation, to understand object of the present invention, characteristic sum effect fully.
As shown in Figure 1, it is the structured flowchart of the Railway Bridge Structural Health Monitoring system based on wireless sensor and actor network of the present invention.Wherein, aggregation node collects the bridge monitoring data gathered from several sensor nodes, and be transferred to by way of bullet train, by bullet train by merge after bridge monitoring data be transferred to data processing centre (DPC).
Fig. 2 is applied to Qinghai-Tibet line of high-speed railway bridge for the Railway Bridge Structural Health Monitoring system based on wireless sensor and actor network of the present invention, and concrete method of data capture comprises the following steps:
Step 100: the Monitoring Data about bridge health is transferred to aggregation node by the sensor be arranged on Along Railway bridge, and aggregation node stores the data in matrix according to the time and space correlativity between data.
Before train reaches, sensor network ceaselessly collects the data of bridge structural health monitoring.Utilize this period of time, first the data of sensor are transferred to aggregation node, owing to there being a lot of wireless senser, and to survey data time also different, so need structure matrix, the data storing received by aggregation node according to the temporal correlation of data is in this matrix.
Step 100 specifically comprises the following steps:
Step 110: the data collected are transferred to aggregation node by sensor, the data that sensor collects comprise following three information: the data of the bridge structure health situation that time when sensor collects these data, the position of this sensor, sensor measurement obtain;
Step 120: aggregation node constructs a two-dimentional matrix and stores the information carrying out sensor received; Every a line of this matrix represents the data measured at different time at the same sensor of same position, and each of this matrix arranges the data that arrive of sensor measurement representing diverse location at one time;
Step 130: aggregation node stores the data in matrix according to the time and space correlativity between data according to the storing mode of step 120.
Step 200: aggregation node is packed for the data stored in a matrix according to the data packing manner of Diapack, and prepare to be transferred to train.
Due to store a large amount of data in aggregation node and transmission range limited, train can only obtain partial information, and along with part packet loss.So we have proposed new packing manner Diapack can effectively meet matrix reduction (MatrixCompletion) algorithm necessary condition, thus reduce exactly lose data.
As shown in Figure 3, step 200 specifically comprises the following steps:
Step 210: aggregation node according to the direction of diagonal of a matrix from the upper left corner of matrix before direction, the lower right corner K data be packaged into a packet;
Step 220: if data are bundled to the data of last column xth row of matrix, then next packaged data are the data of matrix the first row (x+1)th row; In like manner, if data are bundled to the data of last row xth row of matrix, then next packaged data are the data of matrix first row (x+1)th row;
Step 230: if run into the data of having packed in the process of data packing, then jump to the data packing of the same row of next line of these data, by that analogy automatically.
Step 300: aggregation node by information transmission to train, the data stream of train by reconstructing whole section to part not overlapped in the data received.
When train enters the transmission range of aggregation node, arrange the data that access point (AccessPoints, AP) ON TRAINS starts to receive aggregation node and stores, and reconstruct the data stream of whole section by not overlapped part in the data that receive.
Step 300 specifically comprises the following steps:
Step 310: arrange that n+2 AP receives data ON TRAINS, wherein AP0 and AP1 is arranged in the same position of train head, and AP (n+1) is then arranged in the tailstock of train, and other AP is then uniformly distributed along train;
Step 320: when train soon arrives these bridges or tunnel, AP0 just broadcasts out the signal of " beginning "; After aggregation node receives the signal of this " beginning ", it is just gone on the air the packet be kept in buffer area;
Step 330: when AP1 to APn is through the transmission range of aggregation node, they will receive this part packet; The tailstock that AP (n+1) is positioned at train then broadcasts the signal of " end ", then goes off the air when aggregation node receives the signal of this " end ", and the communication between train and aggregation node stops;
Step 340 a: part for the just whole segment data stream received by each AP, and the data received by AP be in below have certain time delay compared with AP above, so the data stream by carrying out combination and whole section of restructural to part not overlapped in the data received.Fig. 4 is the concrete schematic diagram of step 340.
Step 400: data stream is by Internet Transmission to data center, and data center utilizes the mass data of MatrixCompletion algorithm reduction loss.
Due to train high-speed mobile, and the transmission range of aggregation node is limited, so the access point on train can only obtain the data that part is stored in aggregation node, and along with a large amount of data-bag losts.So data center utilizes MatrixCompletion algorithm to carry out recovery reduction for the information of losing.
Step 400 specifically comprises the following steps:
Step 410: a given matrix, wherein has mass data to lack, be reduction lost part data, svd can be made to matrix and by the convex optimization problem solving minimum nuclear norm reduce lose data.
The important prerequisite condition that MatrixCompletion algorithm is suitable for is occur few full zero row or complete zero row as far as possible in matrix, otherwise greatly can affect the precision of reduction, and the data packing manner Diapack that we propose just in time can avoid the generation of this situation best.
Present invention, avoiding bridge away from transmission cost expensive in data center's situation, train is innovatively adopted to help transmission data as the actuator of movement, and propose the method that data packing manner Diapack and MatrixCompletion combines, thus ensure that the accuracy obtaining data; Simultaneously the feature such as wireless sensor network installation cost low, maintenance cost is low, long service life also makes this system to run long-term effectively.
More than describe preferred embodiment of the present invention in detail.Should be appreciated that the ordinary skill of this area just design according to the present invention can make many modifications and variations without the need to creative work.Therefore, all technician in the art, all should by the determined protection domain of claims under this invention's idea on the basis of existing technology by the available technical scheme of logical analysis, reasoning, or a limited experiment.

Claims (3)

1., based on a Railway Bridge Structural Health Monitoring system for wireless sensor and actor network, it is characterized in that, comprise the following steps:
Step 100: the Monitoring Data about bridge health is transferred to aggregation node by the sensor be arranged on Along Railway bridge, and aggregation node stores the data in matrix according to the time and space correlativity between data;
Step 200: aggregation node is packed for the data stored in a matrix according to the data packing manner of Diapack, and prepare to be transferred to train;
Step 300: aggregation node by information transmission to train, the data stream of train by reconstructing whole section to part not overlapped in the data received;
Step 400: data stream is by Internet Transmission to data center, and data center utilizes the mass data of MatrixCompletion algorithm reduction loss;
Described step 100 comprises the following steps:
Step 110: the data collected are transferred to aggregation node by sensor;
Step 120: aggregation node constructs a two-dimentional matrix and stores the information carrying out sensor received, every a line of this matrix represents the data measured at different time at the same sensor of same position, and each of this matrix arranges the data that arrive of sensor measurement representing diverse location at one time;
Step 130: aggregation node stores the data in matrix according to the storing mode of step 120 according to the time and space correlativity between data;
Described step 200 comprises the following steps:
Step 210: aggregation node according to the direction of diagonal of a matrix from the upper left corner of matrix before direction, the lower right corner K data be packaged into a packet;
Step 220: if data are bundled to the data of last column xth row of matrix, then next packaged data are the data of matrix the first row (x+1)th row; In like manner, if data are bundled to the data of last row xth row of matrix, then next packaged data are the data of matrix first row (x+1)th row;
Step 230: if run into the data of having packed in the process of data packing, then jump to the data packing of the same row of next line of these data, by that analogy automatically;
Described step 300 comprises the following steps:
Step 310: arrange that n+2 AP receives data ON TRAINS, wherein AP0 and AP1 is arranged in the same position of train head, and AP (n+1) is then arranged in the tailstock of train, and other AP is then uniformly distributed along train;
Step 320: when train soon arrives these bridges or tunnel, AP0 just broadcasts out the signal of " beginning "; After aggregation node receives the signal of this " beginning ", the packet be kept in buffer area of just going on the air;
Step 330: when AP1 to APn is through the transmission range of aggregation node, the packet of this part will be received; The tailstock AP (n+1) being positioned at train broadcasts the signal of " end ", then goes off the air when aggregation node receives the signal of this " end ", and the communication between train and aggregation node stops;
Step 340: by part not overlapped in the data received to the data stream reconstructing whole section.
2. as claimed in claim 1 based on the Railway Bridge Structural Health Monitoring system of wireless sensor and actor network, it is characterized in that, in step 110, the data that sensor collects comprise following three information: the data of the bridge structure health situation that time when sensor collects these data, the position of this sensor, sensor measurement obtain.
3., as claimed in claim 1 based on the Railway Bridge Structural Health Monitoring system of wireless sensor and actor network, it is characterized in that, described step 400 comprises the following steps:
Step 410: for the data stream received, svd is done to matrix and by the convex optimization problem solving minimum nuclear norm reduce lose data.
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CN104880217B (en) * 2015-06-17 2017-08-15 卢伟 A kind of fault sensor signal reconstruct method based on the measured value degree of association
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