CN107036581A - bridge deformation on-line monitoring system and method based on MEMS gyroscope - Google Patents
bridge deformation on-line monitoring system and method based on MEMS gyroscope Download PDFInfo
- Publication number
- CN107036581A CN107036581A CN201710409155.4A CN201710409155A CN107036581A CN 107036581 A CN107036581 A CN 107036581A CN 201710409155 A CN201710409155 A CN 201710409155A CN 107036581 A CN107036581 A CN 107036581A
- Authority
- CN
- China
- Prior art keywords
- bridge
- deformation
- data
- mems gyroscope
- monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C5/00—Measuring height; Measuring distances transverse to line of sight; Levelling between separated points; Surveyors' levels
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/32—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring the deformation in a solid
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C9/00—Measuring inclination, e.g. by clinometers, by levels
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Bridges Or Land Bridges (AREA)
- Navigation (AREA)
Abstract
The present invention discloses bridge deformation on-line monitoring system and method based on MEMS gyroscope, and wherein system includes online measurement apparatus, communication gate, carrier server, cloud Surveillance center;The on-line measurement device includes MEMS gyroscope, main controller, power module, wireless communication module;Gyroscope lead-out wire connects the input of main controller, the output end connection wireless communication module of main controller;The real-time initial deformation data of bridge that the on-line measurement device is responsible for obtaining and calculated, and live corresponding communication gate is sent to by wireless communication module, and it is forwarded to cloud Surveillance center through carrier server by communication gate;The present invention uses MEMS gyroscope technology, not only economy is cheap, energy-conservation, and can quickly and accurately obtain the deformation data of bridge, it is adaptable to and cost performance highland extension monitoring scale, it can also alleviate the problems such as data fusion brought by number of sensors broad categories is difficult.
Description
Technical field
The present invention relates to municipal works areas of information technology, more particularly to bridge deformation based on MEMS gyroscope is supervised online
Examining system and method.
Background technology
Modern Bridge Engineering construction scale is increasing, and whether bridge structure is stablized to people's go off daily security implication very
Greatly.But bridge is during its long-term use, crossstructure is it occur frequently that different degrees of deformation, is mainly reflected in a wide range of
Sedimentation and inclination.In bridge daily management and safeguarding, the deformation monitoring such as bridge settlement and inclination has become one extremely
Work that is important and be able to need not lacking.
The deformation monitoring means of prior art Bridge are numerous, but these methods are in measurement accuracy, speed and operation
Monitoring effect difference is very big in terms of ease, manual intervention degree, and the monitoring object being applicable is also different, its office
It is sex-limited mainly have it is following some:
1) traditional deformation monitoring instrument such as spirit level, total powerstation, theodolite still makes in the regular visit of bridge
With very extensively, but need to be responsible for monitoring by professional and technical personnel, error is undesirable, and wastes time and energy, it is impossible to bridge
Deformation situation carries out monitoring and early warning in real time;
2) monitoring instrument based on sensing technology, such as liquid pendulum-type, type vibration wire sensor, it is easy for installation, adapt to dislike
Long-term work under bad environment, but be due to that kind of sensor is more, the scope of application is different, and the Heterogeneous data exported is big and is difficult to
Precise synchronization, is that data fusion adds greatly difficulty with analyzing and processing, is not suitable for the networking application of extensive Bridge Group;
3) with the development of optical fiber sensing technology, fibre optic gyroscope also expanded each side for being applied to bridge monitoring
Face, its sensitivity is high and results in continuous deformation locus, but because volume is big and price is relatively high, limits its monitoring
The expanded application of scale.
4) further, since prior art lacks effective management to bridge foundation information, supervisor utilizes monitoring system
After the deformation warning information for obtaining bridge member, generally require manually to transfer and consult relevant rudimentary data, and then analysis and evaluation
Whether maintenance measure is taken, and intelligence degree is low and takes time and effort.
MEMS (Micro Electro Mechanical System, MEMS), is in microelectric technique basis
The new ambit grown up with reference to precision machinery technology.In recent years, the structure of MEMS gyroscope significantly reduces, made
Valency is cheap, and cost and power consumption are constantly reduced, and performance is improved constantly, and its application also receives increasing industry favor,
It is adapted to networking on a large scale to promote and long-term on-line monitoring.Therefore, it is necessary to propose a kind of more intelligent and warp on this basis
Effective bridge deformation on-line monitoring method is helped to solve the above problems.
The content of the invention
For this reason, it may be necessary to provide bridge deformation on-line monitoring system and the method based on MEMS gyroscope, prior art is solved
Bridge deformation monitoring is wasted time and energy, and networking cost is high, and on-line monitoring is difficult, and intelligence degree is low and is difficult to extensive expanded application
The problem of.
To achieve the above object, the bridge deformation on-line monitoring system based on MEMS gyroscope is inventor provided, including
On-line measurement device, communication gate, carrier server, cloud Surveillance center;
The on-line measurement device includes MEMS gyroscope, main controller, power module, wireless communication module;Gyroscope draws
Outlet connects the input of main controller, the output end connection wireless communication module of main controller;
The real-time initial deformation data of bridge that the on-line measurement device is responsible for obtaining and calculated, and pass through radio communication
Module is sent to live corresponding communication gate, and is forwarded to cloud Surveillance center through carrier server by communication gate;
The cloud Surveillance center include data processing software, monitoring interface software, database hub software, Cloud Server and
User monitoring terminal, data processing software, database hub software installation in cloud server end, monitoring interface software installation in
Family monitor terminal;
The data processing software is responsible for carrying out filtration treatment to the initial deformation data being collected into and removes abnormal distortion
Point;
The database hub software is used for object coding information, the identity Back ground Information for storing and managing bridge, and
The deformation data of in real time/history;
The monitoring interface software is used to carry out the monitoring of real-time or historical data, exception to the bridge deformation data collected
Alarm, trend analysis, and used for being accessed by client software, browser or mobile terminal APP.
Further, the main controller is used for the pitch velocity and self-acceleration data for obtaining MEMS gyroscope, passes through
Integral and calculating obtains tilt angle theta, then in conjunction with the bridge deformation model, calculates the initial deformation number for obtaining real-time bridge
According to.
Further, the wireless communication module is NBIOT, 2G, 3G, 4G, zigbee or GPRS communication module.
The present invention also provides the bridge deformation on-line monitoring method based on MEMS gyroscope, comprises the following steps:
Set up the object coding database of bridge;
The deformation model of bridge member is set up, monitoring point arrangement is determined;
The real-time sensory data of MEMS gyroscope is obtained, with reference to bridge deformation model, the initial deformation for obtaining bridge is calculated
Data;
Initial deformation data real-time to bridge carry out noise filtering and distortion point rejecting processing;
The real-time deformation data of bridge is monitored on-line, alarmed and trend analysis.
Further, coding method is to use to be based on " monoid-object-component-numbering " in the object coding database
Multilevel coding strategy, the volume classified in advance to every identity information of bridge according to the type of bridge and its component
Code management, and each identity coding has uniqueness.
Further, the monitoring point arrangement includes the selection of monitoring location, the selection of the monitoring location
Method comprises the following steps:
A, the deformation monitoring settled for bridge pier:In the beam body above specified bridge pier;
B, the inclination for bridge pier or bridge tower are monitored:Installed in the top of specified bridge pier or bridge tower;
C, the deformation monitoring for beam body amount of deflection:According to the structure type of bridge, beam body is divided into multiple beam sections, installed
At each cut-point position.
Further, the real-time sensory data of acquisition MEMS gyroscope includes the pitch velocity for obtaining MEMS gyroscope and oneself
Body acceleration information, then obtains tilt angle theta by integral and calculating, and then in conjunction with the bridge deformation model, calculating is obtained
The initial deformation data of real-time bridge.
Further, the initial deformation data of the bridge include the sedimentation deformation of bridge pier, and bridge tower or pier coping portion are tilted
Displacement or beam body deformation amount of deflection.
Initial deformation method for computing data is as follows:
A, bridge pier sedimentation deformation calculating:θ ≈ d/L, wherein L are distance between the freely-supported point of bridge two, and d is the heavy of certain bridge pier
Range of decrease degree, θ is the inclination angle produced by the simple pivot distance line of bridge floor deviation bridge two, is measured by MEMS gyroscope;
B, bridge pier or bridge tower tilt displacement calculating:θ=3d/2h, wherein h bridge piers height, d are the top of bridge pier or bridge tower
The horizontal displacement that the vertical axis of itself is produced is deviateed at end, when θ is subjected to displacement for the top of bridge pier or bridge tower, own vertical axis line
Skew produced by inclination angle, measured by MEMS gyroscope;
C, beam body deformation amount of deflection calculating:D=∑s lk·sinθk(k=1-m/2), m be by beam body by multiple measurement points
The quantity for the beam section being separated into;lkFor the length of k-th of beam section, θkK-th of beam section deviates the angle of inclination of inceptive direction, by
MEMS gyroscope is measured.
Further, in addition to key message extraction step:
With reference to datum mark and alarm threshold value set in advance, after alert if triggering, according to the uniqueness of component code
Principle, will be beyond finger from the bridge object coding database that is mutually related, identity basic database and history deformation data storehouse
The key message for determining the bridge member of threshold range automatically extracts out.
Further, the trend analysis step is specifically included:
Using datum mark as reference, the deformation geometric locus of same bridge member not in the same time is analyzed, with history deformation data
Same characteristic features data target is carried in storehouse and belongs to the deformation data progress cluster comparison of generic bridge member, track is assessed
Similitude, and variance analysis is carried out to the multigroup deformation track of wherein similar value highest, determined the need for so as to assess to mesh
The structural deformation of mark bridge member is repaired.
Prior art is different from, above-mentioned technical proposal has the following advantages that:
(1) present invention uses MEMS gyroscope technology, not only economic cheap, energy-conservation, and can quickly and accurately obtaining
The deformation data of bridge, available for the sedimentation of on-line monitoring bridge pier, bridge tower or the problems such as pier slope, deflection of bridge span, networking is convenient,
Suitable for cost performance highland extension monitoring scale, it can also alleviate because of data fusion difficulty that number of sensors broad categories are brought etc.
Problem.
(2) intelligent alarm method based on bridge object coding storehouse that the present invention is provided, when bridge deformation exceedes early warning model
When enclosing, the key message of monitoring object can be automatically transferred for monitoring personnel, the workload manually searched is reduced, while may be used also
It is compared and variance analysis with the history deformation data automatically with same bridges, is that the maintenance management strategy of bridge structure is carried
For foundation and suggestion, and then improve the intelligence degree of on-line monitoring system.
Brief description of the drawings
Fig. 1 is the system structure diagram described in embodiment;
Fig. 2 is the method flow diagram described in embodiment.
Embodiment
To describe the technology contents of technical scheme in detail, feature, the objects and the effects being constructed, below in conjunction with specific reality
Apply example and coordinate accompanying drawing to be explained in detail.
Fig. 1 to Fig. 2 is referred to, the present embodiment provides the bridge deformation on-line monitoring system based on MEMS gyroscope.Its base
Present principles are as shown in figure 1, the on-line monitoring system is mainly included in line measurement apparatus, communication gate, carrier server, cloud
Surveillance center.On-line measurement device is used to be arranged on bridge, obtains the deformation data of bridge.
The on-line measurement device includes MEMS gyroscope, main controller, power module, wireless communication module;The MEMS
Gyroscope chip built-in A/D converter, gyroscope lead-out wire connects the input of main controller, and the output end connection of main controller is wireless
Communication module;The MEMS gyroscope is six axle gyroscopes;The wireless communication module preferentially selects NBIOT communication modules,
It is not limited to include 2G, 3G, 4G, zigbee, GPRS other communication networks.Wherein, NBIOT is based on cellular arrowband Internet of Things
(Narrow Band Internet of Things)。
The real-time initial deformation data of bridge that the on-line measurement device is responsible for obtaining and calculated, i.e. on-line measurement device
Main controller be used to obtain MEMS gyroscope data and calculate initial deformation data, and scene is sent to by wireless communication module
Corresponding communication gate, and it is forwarded to cloud Surveillance center through carrier server by communication gate.
The cloud Surveillance center include data processing software, monitoring interface software, database hub software, Cloud Server and
User monitoring terminal, data processing software, database hub software installation in cloud server end, monitoring interface software installation in
Family monitor terminal.The data processing software is responsible for carrying out the initial deformation data being collected into filtration treatment and removed abnormal abnormal
Height;The database hub software is used for object coding information, the identity Back ground Information, Yi Jishi for storing and managing bridge
When/history deformation data;The monitoring interface software can carry out in real time/historical data to the bridge deformation data collected and supervise
Survey, abnormal alarm, trend analysis, it is possible to accessed and used by client software, browser and mobile terminal APP.Pass through
MEMS gyroscope technology, not only economic cheap, energy-conservation, and can quickly and accurately obtain the deformation data of bridge, cloud monitoring
Center can get deformation data in real time, it is possible to achieve the monitoring to bridge deformation.
The bridge deformation on-line monitoring method based on MEMS gyroscope that the present invention is also provided, method of the invention can be answered
With in system in Fig. 1.As shown in Fig. 2 its step method is as follows:
Step 1:Set up the object coding database of bridge;Specific method is:To each bridge pair to be monitored in region
As being deconstructed, unique identity coding is set for bridge member to be monitored, a pair of image coding data storehouses are stored in;It is described to compile
Code method is to use the multilevel coding strategy based on " monoid-object-component-numbering ", pre- according to the type of bridge and its component
The coding management first classified to every identity information of bridge, and each identity coding has uniqueness.For example:Often
Individual identity coding includes object type, object name, element type, four kinds of key elements of numbering.
Step 2:The deformation model of bridge member is set up, monitoring point arrangement is determined;The deformation model includes bridge pier
Settlement Model, bridge pier or displacement of bridge tower model and deflection of bridge span model.With reference to monitored bridge member object and the deformation mould
Type, chooses monitoring point, and on-line measurement device is arranged on corresponding monitoring point.The choosing method of monitoring location is as follows:
A, the deformation monitoring settled for bridge pier:In the beam body above specified bridge pier;
B, the inclination for bridge pier or bridge tower are monitored:Installed in the top of specified bridge pier or bridge tower;
C, the deformation monitoring for beam body amount of deflection:According to the structure type of bridge, beam body is divided into multiple beam sections, installed
At each cut-point position.
Step 3:The real-time sensory data of MEMS gyroscope is obtained, with reference to bridge deformation model, calculating obtains initial deformation
Data;The pitch velocity and self-acceleration data of MEMS gyroscope are obtained using on-line measurement device, is obtained by integral and calculating
To tilt angle theta, then in conjunction with the bridge deformation model, the initial deformation data for obtaining real-time bridge are calculated.The bridge
The initial deformation data of beam include the sedimentation deformation of bridge pier, bridge tower or pier coping portion tilt displacement and beam body deformation amount of deflection.
For example, computational methods are as follows:
A, bridge pier sedimentation deformation calculating:θ ≈ d/L, wherein L are distance between the freely-supported point of bridge two, and d is the heavy of certain bridge pier
Range of decrease degree, θ is the inclination angle produced by the simple pivot distance line of bridge floor deviation bridge two, is measured by MEMS gyroscope.
B, bridge pier or bridge tower tilt displacement calculating:θ=3d/2h, wherein h bridge piers height, d are the top of bridge pier or bridge tower
The horizontal displacement that the vertical axis of itself is produced is deviateed at end, when θ is subjected to displacement for the top of bridge pier or bridge tower, own vertical axis line
Skew produced by inclination angle, measured by MEMS gyroscope.
C, beam body deformation amount of deflection calculating:D=∑s lk·sinθk(k=1-m/2), m be by beam body by multiple measurement points
The quantity for the beam section being separated into;lkFor the length of k-th of beam section, θkK-th of beam section deviates the angle of inclination of inceptive direction, by
MEMS gyroscope is measured.
Step 4:Initial deformation data real-time to bridge carry out noise filtering and distortion point rejecting processing;
In view of in the presence of certain vibrations during bridge load, the present invention utilizes the Kalman filtering in the data processing software
Algorithm carries out vibrations noise filtering processing to the real-time initial deformation data of bridge received, and removes distortion point, to obtain more
For accurate deformation data in real time.
Step 5:The real-time deformation data of bridge is monitored on-line, alarmed and trend analysis;
(1) accurately real-time deformation data and alert data, and according to right described in the monitoring interface software monitors are utilized
As the uniqueness principle of coding, after alert if triggering, monitoring object is automatically extracted and presented from associated database
Key message.
Specific method is:With reference to datum mark and alarm threshold value set in advance, according to the uniqueness principle of component code, from
It is mutually related in bridge object coding database, identity basic database and history deformation data storehouse, will exceeds a prescribed threshold value
The key message of the bridge member of scope automatically extracts out.The key message includes the identity Back ground Information of the bridge, institute
Other, the important history deformation data of the group of category, accident record, and same bridges history deformation data.Wherein, datum mark is
After on-line measurement device is installed, information system collects the original state position of gyroscope in device when device is run for the first time.
For example, knockdown occurs for certain bridge pier of bridge one, more than default alarming value, then system can be encoded according to the bridge pier
In " object type " the history deformation datas of same bridges is automatically extracted from history deformation data storehouse, for next step point
Analysis.
(2) bridge member with characteristic is directed to, the Monitoring Data rule in its different time sections is analyzed, with reference to same
The history deformation development trend of class bridge, is compared and variance analysis by clustering, whether it is needed to repair malformation
Make prediction again.
The characteristic is referred to:The great deformation alarm of generation, Deformation Anomalies situation take place frequently, load capacity is greatly or in friendship
Logical hinge area.
Specific method is:Using datum mark as reference, the deformation geometric locus of same bridge member not in the same time is analyzed, with going through
Same characteristic features data target is carried in history deformation data storehouse and belongs to the deformation data progress cluster ratio of generic bridge member
It is right, track similitude is assessed, and variance analysis is carried out to the multigroup deformation track of wherein similar value highest, so that assessing determination is
It is no to need to repair the structural deformation of target bridge component.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row
His property is included, so that process, method, article or terminal device including a series of key elements not only will including those
Element, but also other key elements including being not expressly set out, or also include being this process, method, article or terminal
The intrinsic key element of equipment.In the absence of more restrictions, by sentence " including ... " or " including ... " limit will
Element, it is not excluded that also there is other key element in the process including the key element, method, article or terminal device.In addition,
Herein, " being more than ", " being less than ", " exceeding " etc. are interpreted as not including this number;" more than ", " following ", " within " etc. be interpreted as
Including this number.
It should be understood by those skilled in the art that, the various embodiments described above can be provided as method, device or computer program production
Product.These embodiments can be using the embodiment in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Form.All or part of step in the method that the various embodiments described above are related to can be instructed by program correlation hardware come
Complete, described program can be stored in the storage medium that computer equipment can be read, for performing the various embodiments described above side
All or part of step described in method.The computer equipment, includes but is not limited to:Personal computer, server, general-purpose computations
Machine, special-purpose computer, the network equipment, embedded device, programmable device, intelligent mobile terminal, intelligent home device, Wearable
Smart machine, vehicle intelligent equipment etc.;Described storage medium, includes but is not limited to:RAM, ROM, magnetic disc, tape, CD, sudden strain of a muscle
Deposit, USB flash disk, mobile hard disk, storage card, memory stick, webserver storage, network cloud storage etc..
The various embodiments described above are with reference to method, equipment (system) and the computer program product according to embodiment
Flow chart and/or block diagram are described.It should be understood that can be by every in computer program instructions implementation process figure and/or block diagram
One flow and/or the flow in square frame and flow chart and/or block diagram and/or the combination of square frame.These computers can be provided
Programmed instruction is to the processor of computer equipment to produce a machine so that pass through the finger of the computing device of computer equipment
Order, which is produced, to be used to realize what is specified in one flow of flow chart or multiple flows and/or one square frame of block diagram or multiple square frames
The device of function.
These computer program instructions may be alternatively stored in the computer that computer equipment can be guided to work in a specific way and set
In standby readable memory so that the instruction being stored in the computer equipment readable memory, which is produced, includes the manufacture of command device
Product, the command device is realized to be referred in one flow of flow chart or multiple flows and/or one square frame of block diagram or multiple square frames
Fixed function.
These computer program instructions can be also loaded into computer equipment so that performed on a computing device a series of
Operating procedure is to produce computer implemented processing, so that the instruction performed on a computing device is provided for realizing in flow
The step of function of being specified in one flow of figure or multiple flows and/or one square frame of block diagram or multiple square frames.
Although the various embodiments described above are described, those skilled in the art once know basic wound
The property made concept, then can make other change and modification to these embodiments, so embodiments of the invention are the foregoing is only,
Not thereby the scope of patent protection of the present invention, the equivalent structure that every utilization description of the invention and accompanying drawing content are made are limited
Or equivalent flow conversion, or other related technical fields are directly or indirectly used in, similarly it is included in the patent of the present invention
Within protection domain.
Claims (10)
1. the bridge deformation on-line monitoring system based on MEMS gyroscope, it is characterised in that including online measurement apparatus, communication network
Pass, carrier server, cloud Surveillance center;
The on-line measurement device includes MEMS gyroscope, main controller, power module, wireless communication module;Gyroscope lead-out wire
Connect the input of main controller, the output end connection wireless communication module of main controller;
The real-time initial deformation data of bridge that the on-line measurement device is responsible for obtaining and calculated, and pass through wireless communication module
Live corresponding communication gate is sent to, and cloud Surveillance center is forwarded to through carrier server by communication gate;
The cloud Surveillance center includes data processing software, monitoring interface software, database hub software, Cloud Server and user
Monitor terminal, data processing software, database hub software installation are supervised in cloud server end, monitoring interface software installation in user
Control terminal;
The data processing software is responsible for carrying out filtration treatment to the initial deformation data being collected into and removes abnormal distortion point;
Object coding information, identity Back ground Information of the database hub software for storing and managing bridge, and in real time/
The deformation data of history;
The monitoring interface software is used to carry out the bridge deformation data collected in real time or historical data monitoring, exception are reported
Alert, trend analysis, and used for being accessed by client software, browser or mobile terminal APP.
2. the bridge deformation on-line monitoring system according to claim 1 based on MEMS gyroscope, it is characterised in that:It is described
Main controller is used for the pitch velocity and self-acceleration data for obtaining MEMS gyroscope, and tilt angle theta is obtained by integral and calculating,
Then in conjunction with the bridge deformation model, the initial deformation data for obtaining real-time bridge are calculated.
3. the bridge deformation on-line monitoring system according to claim 1 based on MEMS gyroscope, it is characterised in that:It is described
Wireless communication module is NBIOT, 2G, 3G, 4G, zigbee or GPRS communication module.
4. the bridge deformation on-line monitoring method based on MEMS gyroscope, it is characterised in that comprise the following steps:
Set up the object coding database of bridge;
The deformation model of bridge member is set up, monitoring point arrangement is determined;
The real-time sensory data of MEMS gyroscope is obtained, with reference to bridge deformation model, the initial deformation data for obtaining bridge are calculated;
Initial deformation data real-time to bridge carry out noise filtering and distortion point rejecting processing;
The real-time deformation data of bridge is monitored on-line, alarmed and trend analysis.
5. the bridge deformation on-line monitoring method according to claim 4 based on MEMS gyroscope, it is characterised in that described
Coding method is to use the multilevel coding strategy based on " monoid-object-component-numbering " in object coding database, according to bridge
The coding that the type of beam and its component is classified to every identity information of bridge in advance is managed, and each identity coding
With uniqueness.
6. the bridge deformation on-line monitoring method according to claim 4 based on MEMS gyroscope, it is characterised in that described
Monitoring point arrangement includes the selection of monitoring location, and the choosing method of the monitoring location comprises the following steps:
A, the deformation monitoring settled for bridge pier:In the beam body above specified bridge pier;
B, the inclination for bridge pier or bridge tower are monitored:Installed in the top of specified bridge pier or bridge tower;
C, the deformation monitoring for beam body amount of deflection:According to the structure type of bridge, beam body is divided into multiple beam sections, installed in each
At individual cut-point position.
7. the bridge deformation on-line monitoring method according to claim 4 based on MEMS gyroscope, it is characterised in that obtain
The real-time sensory data of MEMS gyroscope includes the pitch velocity and self-acceleration data for obtaining MEMS gyroscope, then passes through
Integral and calculating obtains tilt angle theta, then in conjunction with the bridge deformation model, calculates the initial deformation number for obtaining real-time bridge
According to.
8. the bridge deformation on-line monitoring method according to claim 7 based on MEMS gyroscope, it is characterised in that described
The initial deformation data of bridge include the sedimentation deformation of bridge pier, bridge tower or pier coping portion tilt displacement or beam body deformation amount of deflection.
Initial deformation method for computing data is as follows:
A, bridge pier sedimentation deformation calculating:θ ≈ d/L, wherein L are distance between the freely-supported point of bridge two, and d is the sedimentation width of certain bridge pier
Degree, θ is the inclination angle produced by the simple pivot distance line of bridge floor deviation bridge two, is measured by MEMS gyroscope;
B, bridge pier or bridge tower tilt displacement calculating:θ=3d/2h, wherein h bridge piers height, d are inclined for the top of bridge pier or bridge tower
The horizontal displacement produced from the vertical axis of itself, when θ is that the top of bridge pier or bridge tower is subjected to displacement, own vertical axis line it is inclined
Inclination angle produced by moving, is measured by MEMS gyroscope;
C, beam body deformation amount of deflection calculating:D=∑s lk·sinθk(k=1-m/2), m is that will be separated in beam body by multiple measurement points
Into beam section quantity;lkFor the length of k-th of beam section, θkK-th of beam section deviates the angle of inclination of inceptive direction, by MEMS tops
Spiral shell instrument is measured.
9. the bridge deformation on-line monitoring method according to claim 4 based on MEMS gyroscope, it is characterised in that also wrap
Include key message extraction step:
With reference to datum mark and alarm threshold value set in advance, after alert if triggering, according to the uniqueness principle of component code,
, will be beyond specified threshold from the bridge object coding database that is mutually related, identity basic database and history deformation data storehouse
The key message of the bridge member of value scope automatically extracts out.
10. the bridge deformation on-line monitoring method according to claim 4 based on MEMS gyroscope, it is characterised in that institute
Trend analysis step is stated to specifically include:
Using datum mark as reference, the deformation geometric locus of same bridge member not in the same time is analyzed, and in history deformation data storehouse
With same characteristic features data target and belong to generic bridge member deformation data carry out cluster comparison, assess track it is similar
Property, and variance analysis is carried out to the multigroup deformation track of wherein similar value highest, determined the need for so as to assess to target bridge
The structural deformation of beam is repaired.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710342901 | 2017-05-16 | ||
CN2017103429012 | 2017-05-16 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107036581A true CN107036581A (en) | 2017-08-11 |
CN107036581B CN107036581B (en) | 2019-12-13 |
Family
ID=59539648
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710409155.4A Active CN107036581B (en) | 2017-05-16 | 2017-06-02 | bridge deformation online monitoring system and method based on MEMS gyroscope |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107036581B (en) |
Cited By (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107664490A (en) * | 2017-10-30 | 2018-02-06 | 王成宇 | A kind of real-time security on-line monitoring method of high-altitude plank road and its realization device |
CN108534754A (en) * | 2018-03-01 | 2018-09-14 | 福州东方光电能源科技有限公司 | A kind of inclined angle monitoring system |
CN108600983A (en) * | 2018-04-20 | 2018-09-28 | 上海筑监宝信息技术有限公司 | A kind of novel localization building collection control acquisition method and system |
CN108981590A (en) * | 2018-06-13 | 2018-12-11 | 中铁隧道集团二处有限公司 | A kind of high-speed rail precast beam positioning system |
CN109218420A (en) * | 2018-09-07 | 2019-01-15 | 东南大学 | Wireless displacement sensor and system based on NB-IoT |
CN109764795A (en) * | 2018-12-28 | 2019-05-17 | 湖南北斗星空自动化科技有限公司 | High-speed railway track plate arch automatic monitoring system based on NB-iot |
CN110071737A (en) * | 2019-04-30 | 2019-07-30 | 北京桑德斯能源技术有限公司 | A kind of data set device for picking and system |
CN111189427A (en) * | 2020-02-13 | 2020-05-22 | 桂林理工大学 | Real-time monitoring method for bending deformation of simply supported beam |
CN111397577A (en) * | 2020-02-21 | 2020-07-10 | 浙江运达风电股份有限公司 | Tilt angle sensor and gyroscope fused tower monitoring system and method |
CN111457854A (en) * | 2020-04-16 | 2020-07-28 | 福建汇川物联网技术科技股份有限公司 | Deformation monitoring method and device based on building |
CN111629094A (en) * | 2020-04-29 | 2020-09-04 | 东南大学 | Smart phone support towards bridge vibration monitoring |
CN111912333A (en) * | 2020-08-13 | 2020-11-10 | 北京讯腾智慧科技股份有限公司 | Linear deformation monitoring method based on Beidou GNSS and triaxial tilt sensor |
CN112461202A (en) * | 2020-11-24 | 2021-03-09 | 哈尔滨工业大学(深圳) | Building safety monitoring method based on narrow-band Internet of things and related products |
CN112762996A (en) * | 2020-12-31 | 2021-05-07 | 高小翎 | U-shaped channel deformation precise monitoring system based on wireless sensor network |
CN116718150A (en) * | 2023-05-04 | 2023-09-08 | 河海大学 | Deformation monitoring terminal, method and system |
CN116910423A (en) * | 2023-09-12 | 2023-10-20 | 中国土木工程集团有限公司 | Bridge deformation monitoring method and monitoring system |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2010223762A (en) * | 2009-03-24 | 2010-10-07 | Seiko Epson Corp | Device for detecting physical quantity |
CN104613923A (en) * | 2015-03-01 | 2015-05-13 | 河南理工大学 | Evaluation system and evaluation method for deformation monitoring safety |
CN105157671A (en) * | 2015-07-30 | 2015-12-16 | 同济大学 | Monitoring method for bridge deformation in shield construction and system employed by method |
CN106323225A (en) * | 2016-08-31 | 2017-01-11 | 潘卫东 | MEMS sensing technology based space displacement measurement sensor |
CN106404319A (en) * | 2016-08-22 | 2017-02-15 | 广州瀚阳工程咨询有限公司 | Remote automatic real-time bridge monitoring system and method based on MEMS technology |
-
2017
- 2017-06-02 CN CN201710409155.4A patent/CN107036581B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2010223762A (en) * | 2009-03-24 | 2010-10-07 | Seiko Epson Corp | Device for detecting physical quantity |
CN104613923A (en) * | 2015-03-01 | 2015-05-13 | 河南理工大学 | Evaluation system and evaluation method for deformation monitoring safety |
CN105157671A (en) * | 2015-07-30 | 2015-12-16 | 同济大学 | Monitoring method for bridge deformation in shield construction and system employed by method |
CN106404319A (en) * | 2016-08-22 | 2017-02-15 | 广州瀚阳工程咨询有限公司 | Remote automatic real-time bridge monitoring system and method based on MEMS technology |
CN106323225A (en) * | 2016-08-31 | 2017-01-11 | 潘卫东 | MEMS sensing technology based space displacement measurement sensor |
Non-Patent Citations (2)
Title |
---|
何聪: "基于倾角传感器的桥梁线形实时监测***设计与实现", 《中国优秀硕士学位论文全文数据库 工程科技II辑》 * |
段婷婷: "光纤陀螺应用于桥梁形变监测的可行性研究", 《中国优秀硕士学位论文全文数据库 基础科学辑》 * |
Cited By (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107664490A (en) * | 2017-10-30 | 2018-02-06 | 王成宇 | A kind of real-time security on-line monitoring method of high-altitude plank road and its realization device |
CN108534754A (en) * | 2018-03-01 | 2018-09-14 | 福州东方光电能源科技有限公司 | A kind of inclined angle monitoring system |
CN108600983A (en) * | 2018-04-20 | 2018-09-28 | 上海筑监宝信息技术有限公司 | A kind of novel localization building collection control acquisition method and system |
CN108981590A (en) * | 2018-06-13 | 2018-12-11 | 中铁隧道集团二处有限公司 | A kind of high-speed rail precast beam positioning system |
CN109218420A (en) * | 2018-09-07 | 2019-01-15 | 东南大学 | Wireless displacement sensor and system based on NB-IoT |
CN109764795A (en) * | 2018-12-28 | 2019-05-17 | 湖南北斗星空自动化科技有限公司 | High-speed railway track plate arch automatic monitoring system based on NB-iot |
CN110071737A (en) * | 2019-04-30 | 2019-07-30 | 北京桑德斯能源技术有限公司 | A kind of data set device for picking and system |
CN111189427A (en) * | 2020-02-13 | 2020-05-22 | 桂林理工大学 | Real-time monitoring method for bending deformation of simply supported beam |
CN111397577A (en) * | 2020-02-21 | 2020-07-10 | 浙江运达风电股份有限公司 | Tilt angle sensor and gyroscope fused tower monitoring system and method |
CN111397577B (en) * | 2020-02-21 | 2021-11-12 | 浙江运达风电股份有限公司 | Tilt angle sensor and gyroscope fused tower monitoring system and method |
CN111457854A (en) * | 2020-04-16 | 2020-07-28 | 福建汇川物联网技术科技股份有限公司 | Deformation monitoring method and device based on building |
CN111629094A (en) * | 2020-04-29 | 2020-09-04 | 东南大学 | Smart phone support towards bridge vibration monitoring |
CN111629094B (en) * | 2020-04-29 | 2021-04-30 | 东南大学 | Smart phone support towards bridge vibration monitoring |
CN111912333A (en) * | 2020-08-13 | 2020-11-10 | 北京讯腾智慧科技股份有限公司 | Linear deformation monitoring method based on Beidou GNSS and triaxial tilt sensor |
CN112461202A (en) * | 2020-11-24 | 2021-03-09 | 哈尔滨工业大学(深圳) | Building safety monitoring method based on narrow-band Internet of things and related products |
CN112762996A (en) * | 2020-12-31 | 2021-05-07 | 高小翎 | U-shaped channel deformation precise monitoring system based on wireless sensor network |
CN116718150A (en) * | 2023-05-04 | 2023-09-08 | 河海大学 | Deformation monitoring terminal, method and system |
CN116910423A (en) * | 2023-09-12 | 2023-10-20 | 中国土木工程集团有限公司 | Bridge deformation monitoring method and monitoring system |
CN116910423B (en) * | 2023-09-12 | 2023-11-17 | 中国土木工程集团有限公司 | Bridge deformation monitoring method and monitoring system |
Also Published As
Publication number | Publication date |
---|---|
CN107036581B (en) | 2019-12-13 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107036581A (en) | bridge deformation on-line monitoring system and method based on MEMS gyroscope | |
KR101652099B1 (en) | Risk map based on gas accident response and prevention system | |
CN105091857B (en) | The method and system of steel tower state-detection | |
CN202583837U (en) | Bridge health monitoring data collection and analysis device | |
CN107609989A (en) | A kind of bridge health monitoring intelligence CS architecture systems of road network level | |
CN109829561A (en) | Accident forecast method based on smoothing processing Yu network model machine learning | |
CN110310021A (en) | A kind of space enrironment for pit retaining monitoring early warning and monitoring point matching systems | |
CN115758252A (en) | Monitoring information real-time processing and analyzing method based on multi-source information fusion technology | |
CN110132353A (en) | High-supported formwork safety monitoring method and system based on multisensor and artificial intelligence | |
CN114359486A (en) | Bridge health cloud monitoring system based on computer vision | |
CN108089560A (en) | A kind of gate and headstock gear real time on-line monitoring and operational safety management system and its implementation | |
Guang | Development of migrant workers in construction based on machine learning and artificial intelligence technology | |
CN111570748A (en) | Crystallizer bleed-out forecasting method based on image processing | |
CN106709666A (en) | Method and system for determining threshold value of index | |
CN117371949B (en) | Three-dimensional visual model-based power transmission line construction safety monitoring method and system | |
CN109406076A (en) | A method of beam bridge structure damage reason location is carried out using the mobile principal component of displacement sensor array output | |
JP2007313189A (en) | Movement determination device, movement determination method and program | |
CN116517783A (en) | Ocean engineering structure in-situ state monitoring method | |
CN110245924A (en) | A kind of determination method of effective working | |
Peng et al. | Wireless sensor networks based highway disaster hierarchy cooperation monitoring system | |
CN111882135B (en) | Internet of things equipment intrusion detection method and related device | |
Yu et al. | A CNN-LSTM model for road surface recognition of electric balance vehicles | |
Xiang et al. | Automatic object detection of construction workers and machinery based on improved YOLOv5 | |
CN117708626B (en) | Water conservancy and hydropower construction engineering monitoring management method and system based on twin factory | |
CN116720644B (en) | Pedestrian dynamic evacuation method and system based on social force model and path finding algorithm |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
TR01 | Transfer of patent right |
Effective date of registration: 20201105 Address after: Room 106h, block B, animation building, No.11 Xinghuo Road, Jiangbei new district, Nanjing, Jiangsu Province 210032 Patentee after: Nanjing Zhongjing Water Environment Technology Research Institute Co., Ltd Address before: Room 209, building 1, No. 27, Huli Road, Mawei District, Fuzhou City, Fujian Province 350015 Patentee before: FUJIAN SANXINLONG INFORMATION TECHNOLOGY DEVELOPMENT Co.,Ltd. |
|
TR01 | Transfer of patent right |