CN104504769A - Electronic disease collection system for rail transit bridge and tunnel structure and collection and analysis method - Google Patents

Electronic disease collection system for rail transit bridge and tunnel structure and collection and analysis method Download PDF

Info

Publication number
CN104504769A
CN104504769A CN201410722642.2A CN201410722642A CN104504769A CN 104504769 A CN104504769 A CN 104504769A CN 201410722642 A CN201410722642 A CN 201410722642A CN 104504769 A CN104504769 A CN 104504769A
Authority
CN
China
Prior art keywords
portable computer
checkpoint
tunnel structure
data acquisition
electronic tag
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.)
Pending
Application number
CN201410722642.2A
Other languages
Chinese (zh)
Inventor
赵晓燕
周质炎
杨玉泉
杨元伟
王刚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Municipal Engineering Design Insitute Group Co Ltd
Original Assignee
Shanghai Municipal Engineering Design Insitute Group Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shanghai Municipal Engineering Design Insitute Group Co Ltd filed Critical Shanghai Municipal Engineering Design Insitute Group Co Ltd
Priority to CN201410722642.2A priority Critical patent/CN104504769A/en
Publication of CN104504769A publication Critical patent/CN104504769A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/0008General problems related to the reading of electronic memory record carriers, independent of its reading method, e.g. power transfer
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06398Performance of employee with respect to a job function

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Operations Research (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Game Theory and Decision Science (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bridges Or Land Bridges (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)

Abstract

The invention discloses an electronic disease collection system for a rail transit bridge and tunnel structure. In the rail transit bridge and tunnel structure, each check point is provided with an electronic tag. The system further comprises a portable computer, an electronic tag scanner connected with the portable computer, and a computer terminal; the check points are partially provided with sensors and data acquisition modules matched with the sensors; the portable computer comprises an input unit used for inputting check information, and an evaluation unit used for determining the safety level of each check point based on the check information and determining the check cycle of each check point. The electronic disease collection system not only can perform quantitative evaluation and early warming and feedback in real time for diseases of the rail transit bridge and tunnel structure, but also can standardize a check workflow, so as to enable a worker to be out of original paper type check work, ensure the arrival rate of a worker, ensure data reality and reliability, improve working enthusiasm and working quality of the worker, and avoid wrong checks and missing checks.

Description

Rail traffic bridge tunnel structure electronics disease acquisition system and capturing analysis method
Technical field
The present invention relates to a kind of rail traffic bridge tunnel structure maintenance technology, be specifically related to a kind of rail traffic bridge tunnel structure electronics disease acquisition system and capturing analysis method thereof.
Background technology
The defense structure that rail traffic bridge tunnel passes through as city vehicle, be usually in rugged surroundings, it is inevitably subject to various impact within the operation phase, thus the permanance of structure, reliability and security are constantly reduced.Rail traffic bridge tunnel mileage is grown, is passed through complicated geology, tunnel structure inner space relative closure, makes to carry out very inconvenience at operation phase maintenance work.
At present, the rail traffic bridge tunnel maintenance work of China is still the hand inspection based on paper form formula, namely the foster personnel of pipe check constructional appearance situation at the scene according to the detecting appraisal form set, this test mode is time-consuming, effort, data accuracy are poor and personnel's enthusiasm is not high enough, easily there is false retrieval and undetected, personnel's arrival rate is low, and can not quantitatively detect by force parameter the key of track access bridge beam tunnel structure, to such an extent as to can not early warning early to the urgent accident occurred in track access bridge beam tunnel; And, when adopting sensor automation monitoring of structures state, still can not predict well the status information beyond Sensor monitoring region, thus very easily cause great Loss of Life and property.
Summary of the invention
The object of the invention is to propose a kind of rail traffic bridge tunnel structure electronics disease acquisition system, this system not only can specification maintenance inspection work, guarantees rail traffic bridge tunnel structure maintenance work quality, and improve work efficiency.
For realizing this purpose, technical scheme of the present invention is as follows: a kind of rail traffic bridge tunnel structure electronics disease acquisition system, be characterised in that each checkpointing has electronic tag in track access bridge beam tunnel structure, in addition, this system still comprises portable computer, the electronic tag scanner be connected with described portable computer, the terminal be connected with described portable computer, the data acquisition module being provided with sensor in part checkpoint and coordinating with this sensor, described portable computer and described data acquisition module wirelessly carry out communication, described portable computer comprises input block, for input checking information, evaluation unit, determines the safe class of each checkpoint according to described fox message, and determines the proof cycle of each checkpoint according to this safe class.
Another object of the present invention is to provide a kind of capturing analysis method of rail traffic bridge tunnel structure electronics disease acquisition system, the method with electronics disease harvester for rely on, not only can specification maintenance inspection work, guarantee rail traffic bridge tunnel structure maintenance work quality, and improve work efficiency.
For realizing this purpose, technical scheme of the present invention is as follows: a kind of capturing analysis method of rail traffic bridge tunnel structure electronics disease harvester, in track access bridge beam tunnel structure, multiple checkpoint is set, it is characterized in that the method comprises the following steps: A, terminal complete inspection work planning, determine the action of each inspection task, checkpoint location and corresponding staff, inspection open space planning is sent to each portable computer, and staff's hand-portable computers carries out data acquisition to scene, B, staff checks programme path according in portable computer, according to the order of sequence each checkpoint in track access bridge beam tunnel structure is checked successively, by electronic tag scanner, electronic tag is scanned, and by information feed back to portable computer, portable computer is according to the information in electronic tag, call the scope of examination required by this checkpoint, undertaken checking and passing judgment on by staff, complete after this place's fox message until staff, by corresponding check result typing portable computer, and write to electronic tag by scanner and store, when checkpoint place is laid with sensor, monitoring parameter wirelessly collects in portable computer by staff from the supporting data acquisition module of sensor, and by site inspection information write data acquisition module, complete the inspection work at this checkpoint place, the evaluation unit of C, portable computer determines the safe class of each checkpoint according to described check result and monitoring parameter, and determines the proof cycle of each checkpoint according to this safe class.
Wherein in step C, determine that the safe class of this checkpoint comprises the following steps again according to described monitoring parameter, a, set up the distinguishing hierarchy index system of each building block of structure and component; B, to the marking of each layer index relative importance, set up the fuzzy judgment matrix of this level; The consistance of c, checking fuzzy judgment matrix; D, calculate the weights of each layer index; E, determine subordinate function, the ratio of the limit value specified using disease index measured value and specification, as the calculating element of ambiguity function, adopts trapezoidal ambiguity function to carry out fuzzy class judge to each index; F, fuzzy evaluation, after the fuzzy class calculating index according to the subordinate function of each index, the evaluation result of this layer is on average obtained by the Weight corresponding to this layer of index, and then Weight corresponding to this layer for this result is on average obtained the evaluation result of this one deck, successively upwards, finally complete the state evaluation of structure entirety, the safe class of each checkpoint can be obtained.
The present invention with electronic equipment for rely on, realize all electronic of rail traffic bridge tunnel structure inspection work, specification rail traffic bridge tunnel structure inspection work, guarantee arrival rate and the work quality of staff, raise the efficiency and enthusiasm, while qualitative examination is carried out to structure, complete the quantitative collection of parameter, therefore, this Examined effect provides a kind of new paragon of rail traffic bridge tunnel structure maintenance work.
Accompanying drawing explanation
The electronics disease harvester tunnel structure formation schematic diagram of Fig. 1 for relying in the present invention.
The electronics disease harvester bridge structure formation schematic diagram of Fig. 2 for relying in the present invention.
Fig. 3 is the data acquisition module Structure composing schematic diagram in the present invention.
Fig. 4 is evaluation index distinguishing hierarchy schematic diagram.
Fig. 5 is concrete simply supported beam bridge superstructure subclass distinguishing hierarchy schematic diagram.
Fig. 6 is concrete simply supported beam bridge substructure subclass distinguishing hierarchy schematic diagram.
Fig. 7 is concrete simply supported beam bridge substructure bent cap subclass distinguishing hierarchy schematic diagram.
Fig. 8 is concrete simply supported beam bridge lower seat subclass distinguishing hierarchy schematic diagram.
Fig. 9 is that the main block of wood class hierarchy of concrete simply supported beam bridge substructure divides schematic diagram.
Figure 10 is concrete simply supported beam bridge substructure pier crossbeam subclass distinguishing hierarchy schematic diagram.
Figure 11 is concrete simply supported beam bridge affiliated facility subclass distinguishing hierarchy schematic diagram.
Figure 12 is the change curve of structure inspection cycle and service time.
Embodiment
Technical scheme of the present invention mainly relies on track traffic bridge tunnel electronics disease acquisition system to complete, this system mainly comprises portable computer 6, sensor 3, the data acquisition module 4 matched with sensor, electronic tag 2, electronic tag scanner 5 and terminal 7 six part, as Fig. 1 and Fig. 2 signal.
Data acquisition module in Fig. 3 comprises the data acquisition module 11 be connected with sensor 8; data analog to digital conversion and data memory module 13; data wireless communication module 15, built-in data acquisition module and analog to digital conversion and data store the communication line 12 and 14 with wireless communication module; data acquisition module, data memory module, analog-to-digital conversion module, communication line are all included in data acquisition module protective cover 10, to be pasted on body structure surface or to be embedded in inside configuration.
It is inner or surperficial that sensor 3 in Fig. 1 and Fig. 2 is laid in rail traffic bridge tunnel structure 1 for a long time in mode that is pre-buried or surface mount, to obtain the status information of operation phase rail traffic bridge tunnel structure; Data acquisition module 4 is for gathering, storing and the Monitoring Data of emission sensor 3; Portable computer 6 is for the collection of on-the-spot disease data; Electronic tag 2 is for location, checkpoint and the record of working as time check result and fox message; Electronic tag scanner 5 mainly according to the instruction of portable computer, completes the reading writing working of electronic labeling information; Terminal 7 has been mainly used in the store and management work checking work planning and check result.Described portable computer comprises input block, for input checking information; Evaluation unit, determines the safe class of each checkpoint according to described fox message, and determines the proof cycle of each checkpoint according to this safe class.Described fox message can be the content that sensor detects, wirelessly obtained from data collecting module collected by portable computer, also can be staff by other instruments or the data that recorded by alternate manner, utilize artificial input or the input of other connected mode to obtain.
According to a particular embodiment of the invention, can be that all checkpoints are equipped with electronic tag 2, or part checkpoint is provided with electronic tag 2, part checkpoint is provided with sensor 3, described sensor 3 and the supporting setting of data acquisition module 4, in general the kind of sensor 3 is mainly displacement meter, strainometer, reinforcing rib meter, earth pressure gauge and convergence gauge etc., the key sections that each sensor 3 should choose rail traffic bridge tunnel structure stressed is laid, the position of key sections should be chosen according to the actual geologic condition that passes through of track traffic bridge tunnel and stressing conditions after computational analysis, to tunnel structure, generally should be chosen at the position that bearing capacity is relatively weak under least favorable load action, the position that residing geologic condition is poor, the position that water pressure is larger, there is the position of bias voltage, segment joint position etc., distortion or the larger position etc. of internal force should be laid at each key sections sensor, as at the relatively weak section of bearing capacity with there is the section of bias voltage should set up strainometer according to actual loading, poor and have the position of section of jurisdiction longitudinal seam should set up displacement meter and earth pressure gauge at geologic condition, to bridge structure, generally should be chosen at the section that least favorable load action lower stress is larger, as simply supported girder bridge span centre maximal bending moment section, fulcrum maximum shear section, continuous bridge span centre maximal bending moment section, fulcrum hogging moment section, fulcrum maximum shear section etc., should taseometer be laid in these positions, for the structure need testing modal parameter, still should lay accelerometer.
The inspection planning that the position setting of checkpoint then provides according to terminal has come, usually, checkpoint location is laid respectively by track traffic bridge tunnel component (rail tunnel structure section of jurisdiction, vertical shaft, UNICOM road, guarded drainage facility, rail traffic bridge structure girder, bridge pier, arch rib, suspension rod, oblique pull lock etc.), every component evenly should divide by component length or area when laying, for the comparatively serious plant disease occurred in checking process, checkpoint should be set up at this place, strengthen checking.The distance of the laying height distance portable computer of checkpoint should be greater than the reading/writing distance of electronic tag.Described portable computer has corresponding disease and checks software, can gather inspection data and store, and have wired or wireless data-transformation facility.
The proof cycle of track traffic bridge tunnel Structural defect inspection work should calculate by following formula,
Wherein,
N represents the design life of structure;
nrepresent the service time of structure;
D represents the proof cycle of inspection work;
M represents the safe class that structure is current, and its value is determined according to structure technology situation grade classification, and according to the reverse value of structure technology changed condition trend.When structure technology situation is divided into 5 grades (classification is according to being " Highway bridge technique status assessment standard " JTG/T H21-2011 and " shield tunnel structure military service Performance Testing specification " (Shanghai City specifications of engineering construction)), the value of M is 1,2,3,4,5, when structure technology in order time get 5, get 1 time the poorest.
From this formula, structure inspection cycle and service time meet the curvilinear motion relation (with N=100, M=1 for example) as Figure 12.As can be seen from this curve, rail traffic bridge tunnel structure is preferably 40 days ~ 37 days at the initial stage of building up (0 ~ 20 year) proof cycle, the proof cycle of operation mid-term (21 years ~ 60 years) is preferably 37 days ~ 32 days, and operation later stage (61 years ~ 100 years) is preferably 32 days ~ 7 days.If when period, configuration state grade was cited as 2-5 level, corresponding proof cycle presses formulae discovery.The number of days difference that proof cycle comprises when runing nascent structure state grade and being different is more, and along with the continuous degeneration of configuration state, different conditions hierarchical organization proof cycle number of days different reduces gradually.
After staff completes disease collecting work, the defect information of collection and sensing data are gathered to terminal plant disease management computing machine, terminal track traffic bridge tunnel Structural defect management assessment software will adopt relevant bridge tunnel structure condition assessment method, ranking is carried out to structure current state, structure maintenance work personnel, according to evaluation result, carry out follow-up maintenance management and maintenance job.
To bridge and tunnel structure, the analytical hierarchy process based on fuzzy algorithm is adopted to carry out state evaluation.The level of structure by parts-component-disease divides by this algorithm, based on fuzzy algorithm, bottom disease index is evaluated, calculate the weight of each layer index according to the fuzzy judgment matrix drawn by expert investigation, obtained the state of the art of structure entirety to be evaluated by method of weighted mean.
The concrete evaluation procedure of the method comprises the following steps:
(1) the distinguishing hierarchy index system of each building block of structure and component is set up, as Fig. 4; To bridge structure, specifically can divide by the level of Fig. 5 ~ Figure 11.Namely concrete simply supported beam bridge can be divided into superstructure, substructure and affiliated facility, and its superstructure is divided into girder, and substructure is divided into main pier and bearing.Substructure Further Division is main pier, bearing, bent cap and pier crossbeam.Accessory structure is divided into gauge, cable, elevated bridge pumping equipment and expansion joint.
(2) expert gives a mark to each layer index relative importance, sets up the fuzzy judgment matrix of this level; This fuzzy judgment matrix represents for last layer element, and the comparison of relative importance between Its Related Elements with it of this level, adopts " 0-1 " scaling law during structure.Each element representation in fuzzy judgment matrix individual factor index with individual factor index between relative importance degree, and meet .Work as element time, represent with of equal importance; When time, represent ratio important; When time, represent ratio important, when , .As set up fuzzy judgment matrix to concrete simply supported beam bridge component layer, " 0-1 " scaling law is adopted to construct, as following table 1.
Table 1 fuzzy judgment matrix structure table
Element value Superstructure Substructure Affiliated facility Weight
Superstructure 0.5 0.5 0.8 0.433
Substructure 0.5 0.5 0.8 0.433
Affiliated facility 0.2 0.2 0.5 0.134
(3) consistance of fuzzy judgment matrix is verified.If the element of fuzzy judgment matrix meets , then this matrix is claimed to be fuzzy consistent judgment matrix.The necessary and sufficient condition that judgment matrix is fuzzy is the difference of the corresponding element of specifying arbitrarily two row is constant.To not meeting conforming fuzzy judgment matrix, need adjust its element, till meeting consistance.
(4) weights of each layer index are calculated; The weights of each factor index are implied in fuzzy judgment matrix, middle element with weights with pass be: , weights computing formula be , wherein, be satisfied parameter.Weight computing can reference table 1.
(5) subordinate function is determined.Subordinate function can be subordinated to the degree of fuzzy set by reactive element, can carry out quantificational expression to fuzzy concept.The span of membership function is [0,1].Can the key effectively applying fuzzy theory provide to fuzzy object the subordinate function geared to actual circumstances.Here according to the feature of bottom index that structural sheet divides, the ratio of the limit value specified using disease index measured value (or maximum measured value) and specification, as the calculating element of ambiguity function, adopts trapezoidal ambiguity function to carry out fuzzy class judge to each index.During as set up main beam deformation index, represent the ratio of maximum distortion or amount of deflection measured value and Criterion restriction with x, each grade subordinate function is as follows.
(6) fuzzy evaluation.After the fuzzy class calculating index according to the subordinate function of each index, the evaluation result of this layer is on average obtained by the Weight corresponding to this layer of index, and then Weight corresponding to this layer for this result is on average obtained the evaluation result of this one deck, successively upwards, the state evaluation of structure entirety is finally completed.Finally, for final judge value, according to maximum membership degree judgement method directly using there is the grade of maximum membership values as evaluation rank in fuzzy overall evaluation ranking vector.The safe class of each checkpoint can be determined according to described evaluation rank.
The workflow of rail traffic bridge tunnel structure electronization disease acquisition system is as follows.
First, complete inspection work planning on computer terminals, namely the action of each inspection task, checkpoint location and corresponding staff is determined, inspection open space planning is sent to each portable computer by then data management terminal, and staff's hand-portable computers carries out data acquisition to scene, electronic tag is laid by the position checked in planning, sensor and the data acquisition module coordinated with described sensor, each electronic tag is corresponding with corresponding checkpoint with data acquisition module, staff checks programme path according in portable computer, according to the order of sequence each checkpoint in track access bridge beam tunnel structure is checked successively, at each checkpoint place, by electronic tag scanner, electronic tag is scanned, and by information feed back to portable computer, portable computer is according to the information in electronic tag, call the scope of examination required by this checkpoint, undertaken checking and passing judgment on by staff, complete after this place's fox message until staff, corresponding check result is write to electronic tag by scanner store, when checkpoint place is laid with sensor, the data of the data acquisition module supporting with sensor wirelessly collect in portable computer by staff, and by site inspection information write data acquisition module, complete the inspection work at this checkpoint place, the safe class of this checkpoint is determined according to described monitoring parameter.In portable computer, the monitoring parameter (internal force, section of jurisdiction faulting of slab ends value, soil pressure force value, Suo Li etc. as key sections) of sensor is divided by third-class level, be respectively safe condition (within the scope of the safety value of parameter), pay close attention to state the safety value ~ parameter limits of the parameter (40%) and the state of alert 40% ~ parameter limits of parameter limits (60%), when be judged as pay close attention to state time, the proof cycle at this checkpoint place should be foreshortened to original 1/3rd, strengthen checking; When being judged as the state of alert, should checking every day, and reporting relevant departments, find out disease causes in time and keep in repair.
The present invention with electronic equipment for rely on, achieve all electronic of rail traffic bridge tunnel structure inspection work, the work on the spot of modular working personnel, improve staff's work quality, efficiency and enthusiasm, therefore, this Examined effect provides a kind of rail traffic bridge tunnel structure maintenance work new paragon.

Claims (6)

1. a rail traffic bridge tunnel structure electronics disease acquisition system, be characterised in that each checkpointing has electronic tag in track access bridge beam tunnel structure, in addition, this system still comprises portable computer, the electronic tag scanner be connected with described portable computer, the terminal be connected with described portable computer, the data acquisition module being provided with sensor in part checkpoint and coordinating with this sensor, described portable computer and described data acquisition module wirelessly carry out communication, described portable computer comprises input block, for input checking information, evaluation unit, determines the safe class of each checkpoint according to described fox message, and determines the proof cycle of each checkpoint according to this safe class.
2. electronics disease acquisition system as claimed in claim 1; it is characterized in that data acquisition module comprises data acquisition module protective cover, in this data acquisition module protective cover, be provided with data acquisition module, data memory module, digital simulation data-converting block and data communication module.
3. electronics disease acquisition system as claimed in claim 2, is characterized in that described sensor, data acquisition module and electronic tag are laid in rail traffic bridge tunnel structure for a long time in mode that is pre-buried or surface mount inner or surperficial.
4. electronics disease acquisition system as claimed in claim 2, is characterized in that sensor is displacement meter, strainometer, reinforcing rib meter, earth pressure gauge or convergence gauge.
5. the capturing analysis method of a rail traffic bridge tunnel structure electronics disease acquisition system, in track access bridge beam tunnel structure, multiple checkpoint is set, it is characterized in that the method comprises the following steps: A, terminal complete inspection work planning, determine the action of each inspection task, checkpoint location and corresponding staff, inspection open space planning is sent to each portable computer, and staff's hand-portable computers carries out data acquisition to scene, B, staff checks programme path according in portable computer, according to the order of sequence each checkpoint in track access bridge beam tunnel structure is checked successively, by electronic tag scanner, electronic tag is scanned, and by information feed back to portable computer, portable computer is according to the information in electronic tag, call the scope of examination required by this checkpoint, undertaken checking and passing judgment on by staff, complete after this place's fox message until staff, by corresponding check result typing portable computer, and write to electronic tag by scanner and store, when checkpoint place is laid with sensor, monitoring parameter wirelessly collects in portable computer by staff from the supporting data acquisition module of sensor, and by site inspection information write data acquisition module, complete the inspection work at this checkpoint place, the evaluation unit of C, portable computer determines the safe class of each checkpoint according to described check result and monitoring parameter, and determines the proof cycle of each checkpoint according to this safe class.
6. capturing analysis method as claimed in claim 5, is characterized in that, wherein in step C, determining that the safe class of this checkpoint comprises the following steps again according to described monitoring parameter, a, sets up the distinguishing hierarchy index system of each building block of structure and component; B, to the marking of each layer index relative importance, set up the fuzzy judgment matrix of this level; The consistance of c, checking fuzzy judgment matrix; D, calculate the weights of each layer index; E, determine subordinate function, the ratio of the limit value specified using disease index measured value and specification, as the calculating element of ambiguity function, adopts trapezoidal ambiguity function to carry out fuzzy class judge to each index; F, fuzzy evaluation, after the fuzzy class calculating index according to the subordinate function of each index, the evaluation result of this layer is on average obtained by the Weight corresponding to this layer of index, and then Weight corresponding to this layer for this result is on average obtained the evaluation result of this one deck, successively upwards, finally complete the state evaluation of structure entirety, the safe class of each checkpoint can be obtained.
CN201410722642.2A 2014-12-03 2014-12-03 Electronic disease collection system for rail transit bridge and tunnel structure and collection and analysis method Pending CN104504769A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410722642.2A CN104504769A (en) 2014-12-03 2014-12-03 Electronic disease collection system for rail transit bridge and tunnel structure and collection and analysis method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410722642.2A CN104504769A (en) 2014-12-03 2014-12-03 Electronic disease collection system for rail transit bridge and tunnel structure and collection and analysis method

Publications (1)

Publication Number Publication Date
CN104504769A true CN104504769A (en) 2015-04-08

Family

ID=52946163

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410722642.2A Pending CN104504769A (en) 2014-12-03 2014-12-03 Electronic disease collection system for rail transit bridge and tunnel structure and collection and analysis method

Country Status (1)

Country Link
CN (1) CN104504769A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104809314A (en) * 2015-05-18 2015-07-29 东南大学 Method for evaluating longitudinal shock resistance service performance of highway bridge support and stretching device
CN104991986A (en) * 2015-05-18 2015-10-21 东南大学 Method for evaluating longitudinal shock resistance of highway bridge support and stretching device
CN106769157A (en) * 2017-02-23 2017-05-31 上海喆之信息科技有限公司 A kind of bridge structure reliability assessment system based on wireless network
CN108828076A (en) * 2018-06-12 2018-11-16 石家庄铁路职业技术学院 A kind of bridge quality analysis system and method based on image analysis
CN109556554A (en) * 2018-11-15 2019-04-02 安徽省交通控股集团有限公司 A kind of Loads of Long-span Bridges expansion joint monitoring and assessing method

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101763053A (en) * 2008-12-26 2010-06-30 上海交技发展股份有限公司 Movable type bridge security detection and analysis management system
US20120173150A1 (en) * 2010-08-31 2012-07-05 Francisco Romero Sensor-based systems and methods for assessing internal bridge deck deterioration
CN103020429A (en) * 2012-11-27 2013-04-03 浙江工业职业技术学院 Comprehensive decision-making and evaluating method for health condition of tied-arch bridge
CN103293014A (en) * 2013-05-17 2013-09-11 东南大学 Bridge fatigue damage state and residual life evaluating method
CN103778683A (en) * 2012-10-26 2014-05-07 上海市政工程设计研究总院(集团)有限公司 Electronic inspection system for tunnel structure and using method thereof
CN104268670A (en) * 2014-09-02 2015-01-07 司徒毅 Highway bridge technical condition examination and evaluation system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101763053A (en) * 2008-12-26 2010-06-30 上海交技发展股份有限公司 Movable type bridge security detection and analysis management system
US20120173150A1 (en) * 2010-08-31 2012-07-05 Francisco Romero Sensor-based systems and methods for assessing internal bridge deck deterioration
CN103778683A (en) * 2012-10-26 2014-05-07 上海市政工程设计研究总院(集团)有限公司 Electronic inspection system for tunnel structure and using method thereof
CN103020429A (en) * 2012-11-27 2013-04-03 浙江工业职业技术学院 Comprehensive decision-making and evaluating method for health condition of tied-arch bridge
CN103293014A (en) * 2013-05-17 2013-09-11 东南大学 Bridge fatigue damage state and residual life evaluating method
CN104268670A (en) * 2014-09-02 2015-01-07 司徒毅 Highway bridge technical condition examination and evaluation system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
***: "基于模糊层次分析的桥梁状态综合评价方法研究", 《华北科技学院学报》 *
袁海庆: "模糊层次分析法在桥梁综合评估中的应用", 《武汉理工大学学报》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104809314A (en) * 2015-05-18 2015-07-29 东南大学 Method for evaluating longitudinal shock resistance service performance of highway bridge support and stretching device
CN104991986A (en) * 2015-05-18 2015-10-21 东南大学 Method for evaluating longitudinal shock resistance of highway bridge support and stretching device
CN104809314B (en) * 2015-05-18 2017-11-07 东南大学 Highway bridge bearing and the longitudinal shock resistance military service Reliable Evaluating Methods of Their Performance of retractor device
CN104991986B (en) * 2015-05-18 2018-05-08 东南大学 The vertical shock resistance military service Reliable Evaluating Methods of Their Performance of highway bridge bearing and telescopic device
CN106769157A (en) * 2017-02-23 2017-05-31 上海喆之信息科技有限公司 A kind of bridge structure reliability assessment system based on wireless network
CN108828076A (en) * 2018-06-12 2018-11-16 石家庄铁路职业技术学院 A kind of bridge quality analysis system and method based on image analysis
CN109556554A (en) * 2018-11-15 2019-04-02 安徽省交通控股集团有限公司 A kind of Loads of Long-span Bridges expansion joint monitoring and assessing method

Similar Documents

Publication Publication Date Title
CN108106663B (en) Online visual bridge monitoring platform for creating and managing
CN111307031B (en) Buried pipeline safety state monitoring and early warning method
Pines et al. Status of structural health monitoring of long‐span bridges in the United States
CN101763053B (en) Movable type bridge security detection and analysis management system
CN111859724B (en) Fatigue life prediction method and system for mixed-drive ballastless track
CN104316108B (en) Method for establishing and analyzing online monitoring system for 500kv power transmission tower in mountain environment
CN104504769A (en) Electronic disease collection system for rail transit bridge and tunnel structure and collection and analysis method
CN106156336A (en) A kind of Cable-Stayed Bridge Structure state evaluation system and assessment method
KR102112046B1 (en) Method for maintenance and safety diagnosis of facilities
CN103048102B (en) A kind of state evaluating method of beam bridge
CN103778683B (en) A kind of tunnel structure electronic polling system and its application method
CN107588915A (en) A kind of Bridge Influence Line recognition methods and system
CN113900381B (en) Steel structure remote health monitoring platform based on Internet of things and application method
CN103049480A (en) Set of management and maintenance system for monitoring clusters of urban major transportation infrastructures
CN204142505U (en) Highway bridge monitor and early warning system
CN115324650A (en) Early warning grading system and method based on intelligent recognition
CN106248414A (en) It is applicable to sensor distribution method and the structural recognition method of monitoring structural health conditions
CN109684774A (en) A kind of beam bridge safety monitoring and assessment device
JP7141309B2 (en) Quantitative evaluation system for disaster occurrence risk caused by ground displacement, its method, and its program
Fan et al. Multi-agent system for tunnel-settlement monitoring: A case study in Shanghai
CN113074694A (en) Automatic monitoring device for tunnel section deformation
CN114663840B (en) Tunnel environment inspection equipment monitoring method and system
CN115018292A (en) Risk assessment method for urban rail transit engineering
CN113888043A (en) Full-period visual management and analysis system for girder diseases of beam bridge
CN206618550U (en) The device monitored in real time based on bridge defect plate-girder degree of disturbing

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20150408