CN112927208A - Assembly type highway bridge pavement safety monitoring and analyzing method based on Internet of things and big data - Google Patents

Assembly type highway bridge pavement safety monitoring and analyzing method based on Internet of things and big data Download PDF

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CN112927208A
CN112927208A CN202110236338.7A CN202110236338A CN112927208A CN 112927208 A CN112927208 A CN 112927208A CN 202110236338 A CN202110236338 A CN 202110236338A CN 112927208 A CN112927208 A CN 112927208A
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吕思宇
张宁
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Hefei Xuanjia Intelligent Technology Co ltd
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Hefei Xuanjia Intelligent Technology Co ltd
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Abstract

The invention discloses an assembly type highway bridge pavement safety monitoring and analyzing method based on Internet of things and big data, which is characterized in that each bridge deck connecting area of an assembly type bridge is counted and numbered, a plurality of detection points are arranged at each connecting point in each connecting area of the bridge deck of the assembly type bridge, gray level images of each monitoring point in each bridge deck connecting area are collected, image gap distances of each monitoring point in each bridge deck connecting area are obtained, and an actual gap distance difference value of each monitoring point in each bridge deck connecting area is calculated; and meanwhile, the position coordinates of each monitoring point in each bridge deck connecting area of the assembled bridge are counted, the offset distance of each monitoring point in each bridge deck connecting area is analyzed, the comprehensive safety influence coefficient of the bridge deck of the assembled bridge is calculated, early warning reminding is carried out if the deviation exceeds a set threshold value, and related personnel are informed to carry out blocking and overhauling treatment, so that the assembled bridge is prevented from losing the best maintenance opportunity, and the potential safety hazard of people in travel is reduced.

Description

Assembly type highway bridge pavement safety monitoring and analyzing method based on Internet of things and big data
Technical Field
The invention relates to the field of bridge building safety monitoring, in particular to an assembly type highway bridge pavement safety monitoring analysis method based on the Internet of things and big data.
Background
With the continuous development of the construction of the assembled bridge in China, the safety of the bridge is more and more concerned by various social circles, the domestic assembled bridge deck connection monitoring and analyzing technology is continuously improved and is gradually applied to the safety monitoring of the bridge deck, and technical guarantee is provided for ensuring the safe operation of the bridge in China and prolonging the service life of the bridge.
At present, the prior art for monitoring the connection safety of the assembled bridge deck still has some defects, the prior art for monitoring the connection safety of the assembled bridge deck is mainly monitored manually, the manual monitoring level is low, a scientific system method is lacked, the gap distance at the bridge deck connecting point cannot be accurately monitored, the accuracy and the reliability of the monitoring data are reduced, thereby the bridge deck connection safety condition of the assembly type bridge cannot be comprehensively analyzed, meanwhile, the offset distance of each connection point of the bridge deck cannot be monitored in real time by means of manual monitoring, thereby the problem of bridge deck settlement of the assembled bridge can not be found in time, the assembled bridge loses the best time for maintenance, and further accelerating the damage process of the fabricated bridge, increasing the potential safety hazards of people in traveling, and in order to solve the problems, the fabricated highway bridge pavement safety monitoring and analyzing method based on the Internet of things and big data is designed.
Disclosure of Invention
The invention aims to provide an assembly type highway bridge pavement safety monitoring and analyzing method based on the Internet of things and big data, which is characterized in that each bridge deck connecting area of an assembly type bridge is counted and numbered, a plurality of detection points are arranged at each connecting point in each connecting area of the bridge deck of the assembly type bridge, the position number of each monitoring point in each bridge deck connecting area is counted, gray level images of each monitoring point in each bridge deck connecting area of the assembly type bridge are collected and processed, the image gap distance of each monitoring point in each bridge deck connecting area of the assembly type bridge is obtained, and the actual gap distance difference value of each monitoring point in each bridge deck connecting area is calculated; meanwhile, the position coordinates of each monitoring point in each bridge deck connecting area of the assembly type bridge are counted, the offset distance of each monitoring point in each bridge deck connecting area of the assembly type bridge is analyzed, the comprehensive bridge deck safety influence coefficient of the assembly type bridge is calculated, early warning reminding is carried out if the deviation exceeds a set threshold value, related personnel are informed to carry out blocking and overhauling treatment, and the problems existing in the background technology are solved.
The purpose of the invention can be realized by the following technical scheme:
an assembly type highway bridge pavement safety monitoring and analyzing method based on the Internet of things and big data comprises the following steps:
s1, counting and numbering each bridge deck connecting area of the fabricated bridge;
s2, simultaneously arranging a plurality of detection points at each connection point in each connection area of the assembled bridge deck, and counting the position number of each monitoring point in each bridge deck connection area;
s3, collecting gray level images of monitoring points in each bridge floor connecting area of the assembled bridge, and performing image processing;
s4, obtaining image gap distances of monitoring points in each bridge deck connection area of the fabricated bridge, and calculating actual gap distance differences of the monitoring points in each bridge deck connection area;
s5, simultaneously counting the position coordinates of each monitoring point in each bridge deck connecting area of the assembly type bridge, and analyzing the offset distance of each monitoring point in each bridge deck connecting area of the assembly type bridge;
s6, calculating a comprehensive bridge deck safety influence coefficient of the fabricated bridge, if the comprehensive bridge deck safety influence coefficient exceeds a set threshold value, carrying out early warning reminding, and informing related personnel to carry out blocking and overhauling treatment;
the assembly type highway bridge pavement safety monitoring and analyzing method based on the Internet of things and the big data uses an assembly type highway bridge pavement safety monitoring and analyzing system based on the Internet of things and the big data, and comprises a region statistics module, a monitoring point arrangement module, a gray image acquisition module, a gray image processing module, a gap distance acquisition module, a gap distance analysis module, a position coordinate acquisition module, an offset distance analysis module, an analysis server, an early warning reminding module and a storage database;
the monitoring point distribution module is respectively connected with the region statistics module and the gray level image acquisition module, the gray level image processing module is respectively connected with the gray level image acquisition module and the gap distance acquisition module, the gap distance analysis module is respectively connected with the gap distance acquisition module, the analysis server and the storage database, the offset distance analysis module is respectively connected with the position coordinate acquisition module, the analysis server and the storage database, and the analysis server is respectively connected with the early warning reminding module and the storage database;
the area counting module is used for counting bridge deck connection areas of the assembled bridge girder, numbering the bridge deck connection areas of the assembled bridge girder according to a set sequence, and sending the bridge deck connection area numbers of the assembled bridge girder to the monitoring point laying module, wherein the bridge deck connection areas of the assembled bridge girder are numbered respectively 1,2,. once, i,. once, n;
the monitoring point laying module is used for receiving the serial numbers of all bridge deck connecting areas of the assembled bridge sent by the area counting module and numbering the assembling areasMonitoring points are arranged in each bridge deck connecting area of the assembled bridge, the position numbers of the monitoring points in each bridge deck connecting area are sequentially numbered according to the arrangement sequence, the position numbers of the monitoring points in each bridge deck connecting area of the assembled bridge are counted, and a position number set A of the monitoring points in each bridge deck connecting area of the assembled bridge is formedi(ai 1,ai 2,...,ai j,...,ai m)，ai jThe position number of the jth monitoring point in the ith bridge floor connection area of the assembly type bridge is represented, and the position number set of each monitoring point in each bridge floor connection area of the assembly type bridge is sent to the gray image acquisition module;
the gray level image acquisition module comprises an x-ray detector and is used for receiving position number sets of monitoring points in each bridge floor connecting area of the assembled bridge sent by the monitoring point laying module, scanning the bridge floor at each monitoring point in each bridge floor connecting area through the x-ray detector to obtain gray level images of each monitoring point in each bridge floor connecting area of the assembled bridge, counting the gray level images of each monitoring point in each bridge floor connecting area of the assembled bridge, and forming a gray level image set P of each monitoring point in each bridge floor connecting area of the assembled bridgeiA(pia1,pia2,...,piaj,...,piam)，piajThe gray level image at the jth monitoring point in the ith bridge floor connection area expressed as the assembly bridge is sent to the gray level image processing module in a set manner;
the grayscale image processing module is used for receiving a grayscale image set of each monitoring point in each bridge deck connection area of the assembled bridge sent by the grayscale image acquisition module, processing the received grayscale images of each monitoring point in each bridge deck connection area of the assembled bridge by adopting an image processing technology, counting grayscale processing images of each monitoring point in each bridge deck connection area of the assembled bridge, and sending the grayscale processing images of each monitoring point in each bridge deck connection area of the assembled bridge to the gap distance acquisition module;
the gap distance acquisition module is used for receiving gray processing images of monitoring points in each bridge deck connection area of the assembled bridge sent by the gray image processing module, acquiring image gap distances of the monitoring points in each bridge deck connection area of the assembled bridge, counting the image gap distances of the monitoring points in each bridge deck connection area of the assembled bridge, and forming an image gap distance set L of the monitoring points in each bridge deck connection area of the assembled bridgeiA(Lia1,Lia2,...,Liaj,...,Liam)，LiajThe image gap distance of the jth monitoring point in the ith bridge deck connection area of the assembly bridge is represented, and the image gap distance set of each monitoring point in each bridge deck connection area of the assembly bridge is sent to a gap distance analysis module;
the clearance distance analysis module is used for receiving the image clearance distance set of each monitoring point in each bridge floor connection area of the assembled bridge sent by the clearance distance acquisition module, extracting the proportionality coefficient of the standard gray image data and the actual data stored in the storage database and the safety clearance distance of the bridge floor connection point of the assembled bridge, calculating the actual clearance distance difference of each monitoring point in each bridge floor connection area of the assembled bridge, counting the actual clearance distance difference of each monitoring point in each bridge floor connection area of the assembled bridge, and forming the actual clearance distance difference set delta L 'of each monitoring point in each bridge floor connection area of the assembled bridge'iA(ΔL′ia1,ΔL′ia2,...,ΔL′iaj,...,ΔL′iam)，ΔL′iajThe actual gap distance difference value of the jth monitoring point in the ith bridge floor connection area expressed as the assembly bridge is sent to an analysis server;
the position coordinate acquisition module is used for acquiring the position coordinates of each monitoring point in each bridge deck connecting area of the fabricated bridge and counting the fabricated bridgeThe position coordinates of each monitoring point in each bridge floor connecting area of the bridge form a position coordinate set W of each monitoring point in each bridge floor connecting area of the assembled bridgeiR(wir1,wir2,...,wirj,...,wirm)，wirjExpressed as the position coordinate of the jth monitoring point in the ith deck connection area of the fabricated bridge, where wirj＝(wixj,wiyj)，wixj,wiyjRespectively representing longitude and latitude in the position coordinates of the jth monitoring point in the ith bridge floor connection area of the assembly bridge, and sending the position coordinate set of each monitoring point in each bridge floor connection area of the assembly bridge to an offset distance analysis module;
the offset distance analysis module is used for receiving the position coordinate set of each monitoring point in each bridge deck connecting area of the assembled bridge sent by the position coordinate acquisition module, extracting initial position coordinates of each monitoring point in each bridge deck connecting area of the assembled bridge stored in the storage database, calculating the offset distance of each monitoring point in each bridge deck connecting area of the assembled bridge, counting the offset distance of each monitoring point in each bridge deck connecting area of the assembled bridge, and sending the offset distance of each monitoring point in each bridge deck connecting area of the assembled bridge to the analysis server;
the analysis server is used for receiving the actual gap distance difference value sets of the monitoring points in the bridge floor connection areas of the assembled bridge sent by the gap distance analysis module, receiving the offset distances of the monitoring points in the bridge floor connection areas of the assembled bridge sent by the offset distance analysis module, extracting safety influence proportional coefficients corresponding to the gap distances and the offset distances of the bridge floor connection points in the assembled bridge stored in the storage database, calculating a bridge floor comprehensive safety influence coefficient of the assembled bridge, comparing the bridge floor comprehensive safety influence coefficient of the assembled bridge with a set bridge floor safety influence coefficient threshold value, and sending an early warning instruction to the early warning module if the bridge floor comprehensive safety influence coefficient of the assembled bridge exceeds the set threshold value;
the early warning reminding module is used for receiving an early warning instruction sent by the analysis server, carrying out early warning reminding and informing related personnel to carry out blocking and overhauling treatment on the assembled bridge;
the storage database is used for storing a proportionality coefficient k of standard gray image data and actual data and a safety clearance distance L 'of a connecting point of a bridge deck of an assembly type bridge'Sign boardAnd simultaneously storing initial position coordinates of each monitoring point in each bridge deck connecting area of the assembled bridge, and storing safety influence proportional coefficients corresponding to the bridge deck connecting point gap distance and the offset distance in the assembled bridge, wherein the safety influence proportional coefficients are respectively recorded as alpha and beta.
Furthermore, the monitoring point laying module is used for respectively laying a plurality of monitoring points at each connecting point in each connecting area of the assembled bridge deck, and the monitoring points correspond to the connecting points in each connecting area one by one.
Further, the image processing technology is image normalization processing and image enhancement processing, and the gray level images at the monitoring points in the bridge floor connection areas of the assembled bridge are normalized and converted into the gray level images in a fixed standard form, and the high-frequency components of the converted gray level images are enhanced to obtain the gray level processing images at the monitoring points in the bridge floor connection areas of the assembled bridge.
Further, the calculation formula of the actual gap distance difference value at each monitoring point in each bridge deck connection area of the fabricated bridge is delta L'iaj＝k*Liaj-L′Sign board，ΔL′iajExpressed as the difference value of the actual gap distance of the jth monitoring point in the ith bridge floor connecting area of the assembled bridge, k is expressed as the proportionality coefficient of the standard gray image data and the actual data, and L is expressed as the proportionality coefficient of the standard gray image data and the actual dataiajImage gap distance, L 'at jth monitoring point within ith deck connection area of fabricated bridge'Sign boardExpressed as the safety clearance distance of the fabricated bridge deck connection point.
Furthermore, the position coordinate acquiring module comprises a plurality of positioning sensors, wherein the plurality of positioning sensors are respectively installed at the position of each monitoring point in each bridge deck connecting area, the plurality of positioning sensors are in one-to-one correspondence with each connecting point in each connecting area, and the position coordinates of each monitoring point in each bridge deck connecting area of the assembled bridge are respectively acquired through the positioning sensors.
Further, the calculation formula of the offset distance of each monitoring point in each bridge deck connecting area of the assembled bridge is di j＝R0*arccos[coswiyj*coswiy′j*2cos(wixj-wix′j)+sinwiyj*sinwiy′j]，di jOffset distance, R, of the jth monitoring point in the ith deck connection area, denoted as fabricated bridge0Expressed as the radius of the earth, equal to 6400km, wixj,wiyjRespectively expressed as longitude and latitude, w in the position coordinates of the jth monitoring point in the ith deck connection area of the fabricated bridgeix′j,wiy′jRespectively expressed as longitude and latitude in the initial position coordinates of the jth monitoring point in the ith deck connection area of the fabricated bridge.
Further, the calculation formula of the comprehensive safety influence coefficient of the bridge deck of the assembled bridge beam is
Figure BDA0002960332740000071
ξ is a comprehensive safety influence coefficient of the bridge deck of the fabricated bridge, and alpha and beta are respectively a safety influence proportionality coefficient, delta L 'corresponding to the gap distance and the offset distance of the bridge deck connecting point in the fabricated bridge'iajExpressed as the actual gap distance difference, L 'at the jth monitoring point within the ith deck connection area of the fabricated bridge'Sign boardExpressed as the safety clearance distance of the assembled bridge deck connection point, e is expressed as a natural number equal to 2.718, di jIndicated as the offset distance of the jth monitoring point in the ith deck connection area of the fabricated bridge.
Has the advantages that:
(1) the invention provides an assembly type highway bridge pavement safety monitoring and analyzing method based on Internet of things and big data, which is characterized in that statistics and numbering are carried out on each bridge deck connecting area of an assembly type bridge, a plurality of detection points are arranged at each connecting point in each connecting area of an assembly type bridge deck, position numbering of each monitoring point in each bridge deck connecting area is carried out, a foundation is laid for obtaining monitoring data of each monitoring point in each bridge deck connecting area in the later period, gray level images of each monitoring point in each bridge deck connecting area of the assembly type bridge are collected and image processing is carried out, time and task amount required by image analysis are reduced, image gap distances of each monitoring point in each bridge deck connecting area of the assembly type bridge are obtained, actual gap distance difference values of each monitoring point in each bridge deck connecting area are calculated, and therefore low manual monitoring level, low cost and high data rate are avoided, The method has the advantages that the method is lack of scientific system methods, accuracy and reliability of monitoring data are improved, position coordinates of monitoring points in each bridge deck connecting area of the assembly type bridge are counted, offset distances of the monitoring points in each bridge deck connecting area of the assembly type bridge are analyzed, accordingly, bridge deck settlement problems of the assembly type bridge can be found in time, and reliable reference data are provided for later-stage calculation of comprehensive safety influence coefficients of the bridge deck of the assembly type bridge.
(2) According to the invention, the bridge deck comprehensive safety influence coefficient of the assembly type bridge is calculated, so that the bridge deck connection safety condition of the assembly type bridge can be comprehensively analyzed, meanwhile, the bridge deck comprehensive safety influence coefficient is compared with the set bridge deck safety influence coefficient threshold, early warning reminding is carried out if the set bridge deck safety influence coefficient threshold is exceeded, and related personnel are informed to carry out blocking and maintenance treatment, so that the assembly type bridge is prevented from losing the best time for maintenance, the damage process of the assembly type bridge is delayed, and the safety hazard of people in traveling is reduced.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the method steps of the present invention;
fig. 2 is a schematic view of a module connection structure according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a method for monitoring and analyzing the road surface safety of an assembly type highway bridge based on the internet of things and big data includes the following steps:
s1, counting and numbering each bridge deck connecting area of the fabricated bridge;
s2, simultaneously arranging a plurality of detection points at each connection point in each connection area of the assembled bridge deck, and counting the position number of each monitoring point in each bridge deck connection area;
s3, collecting gray level images of monitoring points in each bridge floor connecting area of the assembled bridge, and performing image processing;
s4, obtaining image gap distances of monitoring points in each bridge deck connection area of the fabricated bridge, and calculating actual gap distance differences of the monitoring points in each bridge deck connection area;
s5, simultaneously counting the position coordinates of each monitoring point in each bridge deck connecting area of the assembly type bridge, and analyzing the offset distance of each monitoring point in each bridge deck connecting area of the assembly type bridge;
and S6, calculating a comprehensive bridge deck safety influence coefficient of the fabricated bridge, and if the comprehensive bridge deck safety influence coefficient exceeds a set threshold, performing early warning reminding and informing related personnel to perform blocking and overhauling treatment.
Referring to fig. 2, the method for monitoring and analyzing the road surface safety of the fabricated highway bridge based on the internet of things and big data uses a system for monitoring and analyzing the road surface safety of the fabricated highway bridge based on the internet of things and big data, and comprises a region statistics module, a monitoring point arrangement module, a gray image acquisition module, a gray image processing module, a gap distance acquisition module, a gap distance analysis module, a position coordinate acquisition module, an offset distance analysis module, an analysis server, an early warning reminding module and a storage database.
The monitoring point distribution module is respectively connected with the region statistics module and the gray level image acquisition module, the gray level image processing module is respectively connected with the gray level image acquisition module and the gap distance acquisition module, the gap distance analysis module is respectively connected with the gap distance acquisition module, the analysis server and the storage database, the offset distance analysis module is respectively connected with the position coordinate acquisition module, the analysis server and the storage database, and the analysis server is respectively connected with the early warning reminding module and the storage database.
The area counting module is used for counting bridge deck connection areas of the assembled bridge, numbering the bridge deck connection areas of the assembled bridge in sequence according to a set sequence, numbering the bridge deck connection areas of the assembled bridge in sequence is 1,2, i, n, and numbering the bridge deck connection areas of the assembled bridge to the monitoring point laying module.
The monitoring point laying module is used for receiving the serial numbers of all bridge deck connecting areas of the assembled bridge sent by the area statistical module, laying monitoring points in all bridge deck connecting areas of the assembled bridge, respectively laying a plurality of monitoring points at all connecting points in all connecting areas of the assembled bridge deck, wherein the monitoring points correspond to all connecting points in all connecting areas one by one, sequentially numbering the monitoring points in all bridge deck connecting areas according to the laying sequence, counting the position serial numbers of all monitoring points in all bridge deck connecting areas of the assembled bridge, and forming a position serial number set A of all monitoring points in all bridge deck connecting areas of the assembled bridgei(ai 1,ai 2,...,ai j,...,ai m)，ai jThe i-th deck connection area denoted as fabricated bridgeThe position number of the jth inner monitoring point lays a foundation for acquiring the monitoring data of each monitoring point in each bridge floor connecting area in the later period, and the position numbers of the monitoring points in each bridge floor connecting area of the assembled bridge are collected and sent to the gray level image acquisition module.
The gray level image acquisition module comprises an x-ray detector and is used for receiving position number sets of monitoring points in each bridge floor connecting area of the assembled bridge sent by the monitoring point laying module, scanning the bridge floor at each monitoring point in each bridge floor connecting area through the x-ray detector to obtain gray level images of each monitoring point in each bridge floor connecting area of the assembled bridge, counting the gray level images of each monitoring point in each bridge floor connecting area of the assembled bridge, and forming a gray level image set P of each monitoring point in each bridge floor connecting area of the assembled bridgeiA(pia1,pia2,...,piaj,...,piam)，piajAnd (3) expressing the gray level images of the jth monitoring point in the ith bridge floor connection area of the assembly bridge, and sending the gray level image set of each monitoring point in each bridge floor connection area of the assembly bridge to a gray level image processing module.
The grayscale image processing module is used for receiving grayscale image sets of monitoring points in each bridge deck connection area of the assembled bridge sent by the grayscale image acquisition module, processing the received grayscale images of the monitoring points in each bridge deck connection area of the assembled bridge by adopting an image processing technology, thereby reducing the time and the task amount required by image analysis, counting grayscale processing images of the monitoring points in each bridge deck connection area of the assembled bridge, and sending the grayscale processing images of the monitoring points in each bridge deck connection area of the assembled bridge to the gap distance acquisition module.
The image processing technology comprises image normalization processing and image enhancement processing, wherein the gray level images of monitoring points in each bridge deck connection area of the assembled bridge are normalized and converted into gray level images in a fixed standard form, and the high-frequency components of the converted gray level images are enhanced to obtain the gray level processing images of the monitoring points in each bridge deck connection area of the assembled bridge.
The gap distance acquisition module is used for receiving gray processing images of monitoring points in each bridge deck connection area of the assembled bridge sent by the gray image processing module, acquiring image gap distances of the monitoring points in each bridge deck connection area of the assembled bridge, counting the image gap distances of the monitoring points in each bridge deck connection area of the assembled bridge, and forming an image gap distance set L of the monitoring points in each bridge deck connection area of the assembled bridgeiA(Lia1,Lia2,...,Liaj,...,Liam)，LiajAnd the image gap distance of the jth monitoring point in the ith bridge floor connection area of the assembled bridge is represented, and the image gap distance set of each monitoring point in each bridge floor connection area of the assembled bridge is sent to the gap distance analysis module.
The gap distance analysis module is used for receiving the image gap distance set of each monitoring point in each bridge deck connection area of the assembly type bridge sent by the gap distance acquisition module, extracting the proportionality coefficient of the standard gray image data and the actual data stored in the storage database and the safety gap distance of the bridge deck connection point of the assembly type bridge, and calculating the difference value delta L 'of the actual gap distance of each monitoring point in each bridge deck connection area of the assembly type bridge'iaj＝k*Liaj-L′Sign board，ΔL′iajExpressed as the difference value of the actual gap distance of the jth monitoring point in the ith bridge floor connecting area of the assembled bridge, k is expressed as the proportionality coefficient of the standard gray image data and the actual data, and L is expressed as the proportionality coefficient of the standard gray image data and the actual dataiajImage gap distance, L 'at jth monitoring point within ith deck connection area of fabricated bridge'Sign boardRepresenting the safe clearance distance of the bridge floor connecting points of the assembled bridge, counting the difference value of the actual clearance distance at each monitoring point in each bridge floor connecting area of the assembled bridge, and forming the difference value set delta L 'of the actual clearance distance at each monitoring point in each bridge floor connecting area of the assembled bridge'iA(ΔL′ia1,ΔL′ia2,...,ΔL′iaj,...,ΔL′iam) And sending the set of actual gap distance difference values of each monitoring point in each bridge deck connection region of the assembled bridge to an analysis server, thereby avoiding the problems of low manual monitoring level and lack of a scientific system method and improving the accuracy and reliability of monitoring data.
The position coordinate acquisition module comprises a plurality of positioning sensors, wherein the plurality of positioning sensors are respectively installed at the position of each monitoring point in each bridge deck connection area, and the plurality of positioning sensors are in one-to-one correspondence with each connection point in each connection area and are used for acquiring the position coordinates of each monitoring point in each bridge deck connection area of the assembled bridge, the position coordinates of each monitoring point in each bridge deck connection area of the assembled bridge are respectively acquired through the positioning sensors, the position coordinates of each monitoring point in each bridge deck connection area of the assembled bridge are counted, and the position coordinate set W of each monitoring point in each bridge deck connection area of the assembled bridge is formediR(wir1,wir2,...,wirj,...,wirm)，wirjExpressed as the position coordinate of the jth monitoring point in the ith deck connection area of the fabricated bridge, where wirj＝(wixj,wiyj)，wixj,wiyjRespectively expressed as longitude and latitude in the position coordinates of the jth monitoring point in the ith bridge floor connecting area of the assembly bridge, and sending the position coordinate set of each monitoring point in each bridge floor connecting area of the assembly bridge to the offset distance analysis module.
The offset distance analysis module is used for receiving the position coordinate set of each monitoring point in each bridge deck connecting area of the assembly type bridge sent by the position coordinate acquisition module, extracting the initial position coordinates of each monitoring point in each bridge deck connecting area of the assembly type bridge stored in the storage database, and calculating the offset distance d of each monitoring point in each bridge deck connecting area of the assembly type bridgei j＝R0*arccos[coswiyj*coswiy′j*2cos(wixj-wix′j)+sinwiyj*sinwiy′j]，di jOffset distance, R, of the jth monitoring point in the ith deck connection area, denoted as fabricated bridge0Expressed as the radius of the earth, equal to 6400km, wixj,wiyjRespectively expressed as longitude and latitude, w in the position coordinates of the jth monitoring point in the ith deck connection area of the fabricated bridgeix′j,wiy′jRespectively expressed as longitude and latitude in the initial position coordinates of the jth monitoring point in the ith bridge floor connecting area of the assembled bridge, counting the offset distance of each monitoring point in each bridge floor connecting area of the assembled bridge, and sending the offset distance of each monitoring point in each bridge floor connecting area of the assembled bridge to an analysis server, so that the bridge floor settlement problem of the assembled bridge can be found in time, and reliable reference data are provided for later-stage calculation of the comprehensive safety influence coefficient of the bridge floor of the assembled bridge.
The analysis server is used for receiving actual gap distance difference value sets of monitoring points in each bridge floor connection area of the assembled bridge sent by the gap distance analysis module, receiving offset distances of the monitoring points in each bridge floor connection area of the assembled bridge sent by the offset distance analysis module, extracting safety influence proportional coefficients corresponding to the gap distances and the offset distances of the bridge floor connection points in the assembled bridge stored in the storage database, and calculating comprehensive bridge floor safety influence coefficients of the assembled bridge
Figure BDA0002960332740000131
ξ is a comprehensive safety influence coefficient of the bridge deck of the fabricated bridge, and alpha and beta are respectively a safety influence proportionality coefficient, delta L 'corresponding to the gap distance and the offset distance of the bridge deck connecting point in the fabricated bridge'iajExpressed as the actual gap distance difference, L 'at the jth monitoring point within the ith deck connection area of the fabricated bridge'Sign boardExpressed as the safety clearance distance of the assembled bridge deck connection point, e is expressed as a natural number equal to 2.718, di jThe deviation distance of the jth monitoring point in the ith bridge floor connection area of the assembly type bridge is represented, so that the bridge floor connection safety condition of the assembly type bridge can be comprehensively analyzed, meanwhile, the comprehensive safety influence coefficient of the bridge floor of the assembly type bridge is compared with the set threshold value of the safety influence coefficient of the bridge floor, and if the comprehensive safety influence coefficient of the bridge floor of the assembly type bridge exceeds the set threshold value, the warning instruction is sent to the warning reminding module.
The early warning reminding module is used for receiving an early warning instruction sent by the analysis server, carrying out early warning reminding and informing related personnel to lock and overhaul the assembled bridge, so that the condition that the assembled bridge is out of the best maintenance opportunity is avoided, the process of damage of the assembled bridge is delayed, and the potential safety hazard of people in traveling is reduced.
The storage database is used for storing a proportionality coefficient k of standard gray image data and actual data and a safety clearance distance L 'of a connecting point of a bridge deck of an assembly type bridge'Sign boardAnd simultaneously storing initial position coordinates of each monitoring point in each bridge deck connecting area of the assembled bridge, and storing safety influence proportional coefficients corresponding to the bridge deck connecting point gap distance and the offset distance in the assembled bridge, wherein the safety influence proportional coefficients are respectively recorded as alpha and beta.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.

Claims (7)

1. An assembly type highway bridge pavement safety monitoring and analyzing method based on the Internet of things and big data is characterized in that: the method comprises the following steps:
s1, counting and numbering each bridge deck connecting area of the fabricated bridge;
s2, simultaneously arranging a plurality of detection points at each connection point in each connection area of the assembled bridge deck, and counting the position number of each monitoring point in each bridge deck connection area;
s3, collecting gray level images of monitoring points in each bridge floor connecting area of the assembled bridge, and performing image processing;
s4, obtaining image gap distances of monitoring points in each bridge deck connection area of the fabricated bridge, and calculating actual gap distance differences of the monitoring points in each bridge deck connection area;
s5, simultaneously counting the position coordinates of each monitoring point in each bridge deck connecting area of the assembly type bridge, and analyzing the offset distance of each monitoring point in each bridge deck connecting area of the assembly type bridge;
s6, calculating a comprehensive bridge deck safety influence coefficient of the fabricated bridge, if the comprehensive bridge deck safety influence coefficient exceeds a set threshold value, carrying out early warning reminding, and informing related personnel to carry out blocking and overhauling treatment;
the assembly type highway bridge pavement safety monitoring and analyzing method based on the Internet of things and the big data uses an assembly type highway bridge pavement safety monitoring and analyzing system based on the Internet of things and the big data, and comprises a region statistics module, a monitoring point arrangement module, a gray image acquisition module, a gray image processing module, a gap distance acquisition module, a gap distance analysis module, a position coordinate acquisition module, an offset distance analysis module, an analysis server, an early warning reminding module and a storage database;
the monitoring point distribution module is respectively connected with the region statistics module and the gray level image acquisition module, the gray level image processing module is respectively connected with the gray level image acquisition module and the gap distance acquisition module, the gap distance analysis module is respectively connected with the gap distance acquisition module, the analysis server and the storage database, the offset distance analysis module is respectively connected with the position coordinate acquisition module, the analysis server and the storage database, and the analysis server is respectively connected with the early warning reminding module and the storage database;
the area counting module is used for counting bridge deck connection areas of the assembled bridge girder, numbering the bridge deck connection areas of the assembled bridge girder according to a set sequence, and sending the bridge deck connection area numbers of the assembled bridge girder to the monitoring point laying module, wherein the bridge deck connection areas of the assembled bridge girder are numbered respectively 1,2,. once, i,. once, n;
the monitoring point laying module is used for receiving the serial numbers of all bridge deck connecting areas of the assembled bridge sent by the area statistical module, laying monitoring points in all bridge deck connecting areas of the assembled bridge, sequentially numbering the positions of all monitoring points in all bridge deck connecting areas according to the laying sequence, counting the position serial numbers of all monitoring points in all bridge deck connecting areas of the assembled bridge, and forming a position serial number set A of all monitoring points in all bridge deck connecting areas of the assembled bridgei(ai 1,ai 2,...,ai j,...,ai m)，ai jThe position number of the jth monitoring point in the ith bridge floor connection area of the assembly type bridge is represented, and the position number set of each monitoring point in each bridge floor connection area of the assembly type bridge is sent to the gray image acquisition module;
the gray level image acquisition module comprises an x-ray detector and is used for receiving position number sets of monitoring points in each bridge floor connecting area of the assembled bridge sent by the monitoring point laying module, scanning the bridge floor at each monitoring point in each bridge floor connecting area through the x-ray detector to obtain gray level images of each monitoring point in each bridge floor connecting area of the assembled bridge, counting the gray level images of each monitoring point in each bridge floor connecting area of the assembled bridge, and forming a gray level image set P of each monitoring point in each bridge floor connecting area of the assembled bridgeiA(pia1,pia2,...,piaj,...,piam)，piajThe gray level image at the jth monitoring point in the ith bridge floor connection area expressed as the assembly bridge is sent to the gray level image processing module in a set manner;
the grayscale image processing module is used for receiving a grayscale image set of each monitoring point in each bridge deck connection area of the assembled bridge sent by the grayscale image acquisition module, processing the received grayscale images of each monitoring point in each bridge deck connection area of the assembled bridge by adopting an image processing technology, counting grayscale processing images of each monitoring point in each bridge deck connection area of the assembled bridge, and sending the grayscale processing images of each monitoring point in each bridge deck connection area of the assembled bridge to the gap distance acquisition module;
the gap distance acquisition module is used for receiving gray processing images of monitoring points in each bridge deck connection area of the assembled bridge sent by the gray image processing module, acquiring image gap distances of the monitoring points in each bridge deck connection area of the assembled bridge, counting the image gap distances of the monitoring points in each bridge deck connection area of the assembled bridge, and forming an image gap distance set L of the monitoring points in each bridge deck connection area of the assembled bridgeiA(Lia1,Lia2,...,Liaj,...,Liam)，LiajThe image gap distance of the jth monitoring point in the ith bridge deck connection area of the assembly bridge is represented, and the image gap distance set of each monitoring point in each bridge deck connection area of the assembly bridge is sent to a gap distance analysis module;
the clearance distance analysis module is used for receiving the image clearance distance set of each monitoring point in each bridge floor connection area of the assembled bridge sent by the clearance distance acquisition module, extracting the proportionality coefficient of the standard gray image data and the actual data stored in the storage database and the safety clearance distance of the bridge floor connection point of the assembled bridge, calculating the actual clearance distance difference of each monitoring point in each bridge floor connection area of the assembled bridge, counting the actual clearance distance difference of each monitoring point in each bridge floor connection area of the assembled bridge, and forming the actual clearance distance difference set delta L 'of each monitoring point in each bridge floor connection area of the assembled bridge'iA(ΔL′ia1,ΔL′ia2,...,ΔL′iaj,...,ΔL′iam)，ΔL′iajThe actual gap distance difference value of the jth monitoring point in the ith bridge floor connection area of the assembly bridge is expressed, and the actual gap distance difference value set of each monitoring point in each bridge floor connection area of the assembly bridge is sentTo an analysis server;
the position coordinate acquisition module is used for acquiring the position coordinates of each monitoring point in each bridge deck connecting area of the assembled bridge, counting the position coordinates of each monitoring point in each bridge deck connecting area of the assembled bridge, and forming a position coordinate set W of each monitoring point in each bridge deck connecting area of the assembled bridgeiR(wir1,wir2,...,wirj,...,wirm)，wirjExpressed as the position coordinate of the jth monitoring point in the ith deck connection area of the fabricated bridge, where wirj＝(wixj,wiyj)，wixj,wiyjRespectively representing longitude and latitude in the position coordinates of the jth monitoring point in the ith bridge floor connection area of the assembly bridge, and sending the position coordinate set of each monitoring point in each bridge floor connection area of the assembly bridge to an offset distance analysis module;
the offset distance analysis module is used for receiving the position coordinate set of each monitoring point in each bridge deck connecting area of the assembled bridge sent by the position coordinate acquisition module, extracting initial position coordinates of each monitoring point in each bridge deck connecting area of the assembled bridge stored in the storage database, calculating the offset distance of each monitoring point in each bridge deck connecting area of the assembled bridge, counting the offset distance of each monitoring point in each bridge deck connecting area of the assembled bridge, and sending the offset distance of each monitoring point in each bridge deck connecting area of the assembled bridge to the analysis server;
the analysis server is used for receiving the actual gap distance difference value sets of the monitoring points in the bridge floor connection areas of the assembled bridge sent by the gap distance analysis module, receiving the offset distances of the monitoring points in the bridge floor connection areas of the assembled bridge sent by the offset distance analysis module, extracting safety influence proportional coefficients corresponding to the gap distances and the offset distances of the bridge floor connection points in the assembled bridge stored in the storage database, calculating a bridge floor comprehensive safety influence coefficient of the assembled bridge, comparing the bridge floor comprehensive safety influence coefficient of the assembled bridge with a set bridge floor safety influence coefficient threshold value, and sending an early warning instruction to the early warning module if the bridge floor comprehensive safety influence coefficient of the assembled bridge exceeds the set threshold value;
the early warning reminding module is used for receiving an early warning instruction sent by the analysis server, carrying out early warning reminding and informing related personnel to carry out blocking and overhauling treatment on the assembled bridge;
the storage database is used for storing a proportionality coefficient k of standard gray image data and actual data and a safety clearance distance L 'of a connecting point of a bridge deck of an assembly type bridge'Sign boardAnd simultaneously storing initial position coordinates of each monitoring point in each bridge deck connecting area of the assembled bridge, and storing safety influence proportional coefficients corresponding to the bridge deck connecting point gap distance and the offset distance in the assembled bridge, wherein the safety influence proportional coefficients are respectively recorded as alpha and beta.
2. The assembly type highway bridge pavement safety monitoring and analyzing method based on the Internet of things and big data according to claim 1, characterized in that: the monitoring point laying module is used for respectively laying a plurality of monitoring points at each connecting point in each connecting area of the assembled bridge deck, and the monitoring points correspond to the connecting points in each connecting area one by one.
3. The assembly type highway bridge pavement safety monitoring and analyzing method based on the Internet of things and big data according to claim 1, characterized in that: the image processing technology comprises image normalization processing and image enhancement processing, wherein the gray level images of monitoring points in each bridge deck connection area of the assembled bridge are normalized and converted into gray level images in a fixed standard form, and the high-frequency components of the converted gray level images are enhanced to obtain the gray level processing images of the monitoring points in each bridge deck connection area of the assembled bridge.
4. The assembly type highway bridge pavement safety monitoring and analyzing method based on the Internet of things and big data according to claim 1, characterized in that: the fabricated bridgeThe calculation formula of the actual gap distance difference value of each monitoring point in each bridge deck connection area of the beam is delta L'iaj＝k*Liaj-L′Sign board，ΔL′iajExpressed as the difference value of the actual gap distance of the jth monitoring point in the ith bridge floor connecting area of the assembled bridge, k is expressed as the proportionality coefficient of the standard gray image data and the actual data, and L is expressed as the proportionality coefficient of the standard gray image data and the actual dataiajImage gap distance, L 'at jth monitoring point within ith deck connection area of fabricated bridge'Sign boardExpressed as the safety clearance distance of the fabricated bridge deck connection point.
5. The assembly type highway bridge pavement safety monitoring and analyzing method based on the Internet of things and big data according to claim 1, characterized in that: the position coordinate acquisition module comprises a plurality of positioning sensors, wherein the plurality of positioning sensors are respectively installed at the position of each monitoring point in each bridge deck connection area, the plurality of positioning sensors correspond to each connection point in each connection area one to one, and the position coordinates of each monitoring point in each bridge deck connection area of the assembly type bridge are respectively acquired through the positioning sensors.
6. The assembly type highway bridge pavement safety monitoring and analyzing method based on the Internet of things and big data according to claim 1, characterized in that: the calculation formula of the offset distance of each monitoring point in each bridge deck connecting area of the assembled bridge beam is di j＝R0*arccos[cos wiyj*cos wiy′j*2cos(wixj-wix′j)+sin wiyj*sin wiy′j]，di jOffset distance, R, of the jth monitoring point in the ith deck connection area, denoted as fabricated bridge0Expressed as the radius of the earth, equal to 6400km, wixj,wiyjRespectively expressed as longitude and latitude, w in the position coordinates of the jth monitoring point in the ith deck connection area of the fabricated bridgeix′j,wiy′jRespectively expressed as longitude and latitude in the initial position coordinates of the jth monitoring point in the ith deck connection area of the fabricated bridge.
7. The assembly type highway bridge pavement safety monitoring and analyzing method based on the Internet of things and big data according to claim 1, characterized in that: the calculation formula of the comprehensive safety influence coefficient of the bridge deck of the assembled bridge beam is
Figure FDA0002960332730000061
ξ is a comprehensive safety influence coefficient of the bridge deck of the fabricated bridge, and alpha and beta are respectively a safety influence proportionality coefficient, delta L 'corresponding to the gap distance and the offset distance of the bridge deck connecting point in the fabricated bridge'iajExpressed as the actual gap distance difference, L 'at the jth monitoring point within the ith deck connection area of the fabricated bridge'Sign boardExpressed as the safety clearance distance of the assembled bridge deck connection point, e is expressed as a natural number equal to 2.718, di jIndicated as the offset distance of the jth monitoring point in the ith deck connection area of the fabricated bridge.
CN202110236338.7A 2021-03-03 2021-03-03 Assembly type highway bridge pavement safety monitoring and analyzing method based on Internet of things and big data Withdrawn CN112927208A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113095664A (en) * 2021-04-06 2021-07-09 喻师师 Cloud computing-based online real-time monitoring, regulating and controlling management cloud platform for transformer substation operation safety
CN115018300A (en) * 2022-05-30 2022-09-06 武汉芳家盛世建筑劳务有限公司 Bridge health on-line monitoring safety analysis integration platform based on sensor technology

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113095664A (en) * 2021-04-06 2021-07-09 喻师师 Cloud computing-based online real-time monitoring, regulating and controlling management cloud platform for transformer substation operation safety
CN115018300A (en) * 2022-05-30 2022-09-06 武汉芳家盛世建筑劳务有限公司 Bridge health on-line monitoring safety analysis integration platform based on sensor technology

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