CN114234844A - Three-dimensional structure measurement and deformation analysis method for railway canopy - Google Patents

Three-dimensional structure measurement and deformation analysis method for railway canopy Download PDF

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Publication number
CN114234844A
CN114234844A CN202210136919.8A CN202210136919A CN114234844A CN 114234844 A CN114234844 A CN 114234844A CN 202210136919 A CN202210136919 A CN 202210136919A CN 114234844 A CN114234844 A CN 114234844A
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steering engine
data
point
upper computer
rotation steering
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耿天军
王丽芳
任孝明
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Taiyuan Railway Fangjian Section Of Daqin Railway Co ltd
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Taiyuan Railway Fangjian Section Of Daqin Railway Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/24Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/16Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge

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  • General Physics & Mathematics (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The invention provides a method for measuring a three-dimensional structure and analyzing deformation of a railway canopy, which comprises the following steps of: the method comprises the steps that a plurality of detection points are deployed to detect a three-dimensional structure of the railway canopy, and each detection point is provided with a transverse rotating steering engine, a longitudinal rotating steering engine, a laser radar range finder and a control main board; the laser radar range finder is bound on the transverse rotation steering engine and the longitudinal rotation steering engine, and when point positions are dynamically measured, the range finding of different point positions is carried out according to the rotation of the transverse rotation steering engine and the longitudinal rotation steering engine; the data control lines of the transverse rotation steering engine and the longitudinal rotation steering engine are respectively connected with the control main board; the control main board is connected with the server side upper computer through the matching of a network cable and the switch and is controlled by the server side upper computer; a lower computer connected with the upper computer of the server side is configured on the control mainboard and comprises an IP and a port of the lower computer; the invention can check the current state of the railway canopy in real time, can perform early warning in advance according to the analysis data, and can display the early warning to a user in a three-dimensional mode for reference.

Description

Three-dimensional structure measurement and deformation analysis method for railway canopy
Technical Field
The invention relates to the technical field of a measuring mode and deformation analysis of a three-dimensional structure of a canopy, in particular to a measuring and deformation analysis method of a three-dimensional structure of a railway canopy.
Background
The structural form of the railway rain shed is continuously developed and changed along with the development of railway construction and the progress of construction technical materials. At present, the current state of the railway canopy cannot be checked in real time, and great potential safety hazards are generated in the using process.
Disclosure of Invention
The invention aims to provide a method for measuring a three-dimensional structure and analyzing deformation of a railway canopy, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a method for measuring and analyzing deformation of a three-dimensional structure of a railway canopy comprises the following steps:
the method comprises the steps that firstly, a plurality of detection points are deployed to detect the three-dimensional structure of the railway canopy, and each detection point is provided with a transverse rotating steering engine, a longitudinal rotating steering engine, a laser radar range finder and a control main board;
the laser radar range finder is bound on the transverse rotation steering engine and the longitudinal rotation steering engine, and when point positions are dynamically measured, the range finding of different point positions is carried out according to the rotation of the transverse rotation steering engine and the longitudinal rotation steering engine; the data control lines of the transverse rotation steering engine and the longitudinal rotation steering engine are respectively connected with the control main board;
the control main board is connected with the server side upper computer through the matching of a network cable and the switch and is controlled by the server side upper computer;
a lower computer connected with the upper computer of the server side is configured on the control mainboard and comprises an IP and a port of the lower computer;
step two, after the deployment of the detection points is finished, the upper computer of the server side is connected with the port according to the IP set by the lower computer, and then the upper computer of the server side can issue a control command to the point location for distance measurement and data return;
step three, the upper computer of the server side sends a detection command, commands all point locations to start scanning the three-dimensional structure of the railway canopy and returns scanned information points in real time;
analyzing and three-dimensional imaging drawing according to the returned information points, and storing the returned information points into a database for subsequent analysis and historical record;
after receiving the command, the lower computer controls the transverse rotation steering engine and the longitudinal rotation steering engine to rotate, and measurement is carried out according to the measurement angle information set by the lower computer;
and step five, after each data point is obtained by the lower computer, transmitting the data points to the upper computer of the service end through UDP communication, and informing the upper computer of the point position.
And sixthly, the upper computer of the server stores the data of the lower computer, starts to analyze the data, and starts to analyze and process according to the historical point location data and the current measurement data, wherein the processing mode is as follows:
according to data points returned by all detection point positions, transmitting the point information to a drawing control in a point cloud data mode for three-dimensional imaging drawing, and updating drawing after distance measurement is returned every time;
the structural deformation analysis algorithm is specifically as follows:
according to the currently returned data point, comparing the point location difference with the set point location differences of the previous times, and judging within a set precision range;
if the error value exceeds the positive and negative error value, secondary verification is carried out and the error condition is determined, and if the error value still exceeds the set precision range, an alarm is given and the front end is informed to display and record;
comparing all historical measurement records in a mode of predicting structural deformation in advance, analyzing the difference of point positions, and displaying the analysis result in a trend graph mode;
the ranging verification algorithm is specifically as follows:
the average value checking algorithm is used for storing all data measured for many times in a queue, obtaining a checking value according to the average value of the values, judging according to the checking value, checking whether the current value exceeds the checking value judgment range, and judging whether the precision exceeds the precision range after the absolute value of the obtained range is obtained; the verification algorithm is as follows:
|SUM(A)/C–D|>F
wherein, a is all measured values, C is the number of measured values, D is the value to be checked, and F is the accuracy range.
As a further scheme of the invention: the lower computer sets the height and the position of the lower computer so as to determine the position of the detection point when all point positions are drawn.
As a further scheme of the invention: the accuracy range defaults to plus or minus 2 mm.
Compared with the prior art, the invention has the beneficial effects that:
by adopting the method, the current state of the railway canopy can be checked in real time, early warning can be carried out in advance according to the analysis data, and the early warning is displayed to a user in a three-dimensional mode for reference. The invention adopts the mode that the upper computer of the service end is connected with the lower communication computer to send messages for detection, can achieve the mode of real-time monitoring, and each data point can be respectively processed according to the communication protocol command sent to each detection point and then returned to the upper computer of the service end after the result is obtained. According to the invention, the time consumption of manual detection is greatly reduced by controlling the lower computer on line, and the detection points do not need to be manually detected independently.
The invention mainly monitors the deformation detection of the railway canopy in real time, greatly reduces the equipment loss and the deployment complexity on the basis of achieving the real-time monitoring, and gives the core work to an upper computer server side for analysis and processing.
The system utilizes the field sensor to acquire state parameters of the railway canopy such as environment, deformation, decorative surface change, load and the like, and transmits the state parameters to the system data center through the Internet of things. The data center carries out data modeling on the railway canopy, carries out algorithm processing on collected state parameters, analyzes and predicts the operation situation of the canopy, and presents the operation situation to a user in the forms of data charts and the like, so that comprehensive and effective safety assessment is realized, and according to a set plan and a set numerical value, the system can further send out early warning on the existing potential safety hazards and give out processing suggestions, so that the railway canopy can be intelligently maintained based on the state.
Drawings
Fig. 1 is a flow chart of a method for measuring a three-dimensional structure and analyzing deformation of a railway canopy.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
Referring to fig. 1, a method for measuring a three-dimensional structure and analyzing deformation of a railway canopy includes the following steps:
the method comprises the steps that firstly, a plurality of detection points are deployed to detect the three-dimensional structure of the railway canopy, and each detection point is provided with a transverse rotating steering engine, a longitudinal rotating steering engine, a laser radar range finder and a control main board;
the laser radar range finder is bound on the transverse rotation steering engine and the longitudinal rotation steering engine, and when point positions are dynamically measured, the range finding of different point positions is carried out according to the rotation of the transverse rotation steering engine and the longitudinal rotation steering engine; the data control lines of the transverse rotation steering engine and the longitudinal rotation steering engine are respectively connected with the control main board and are used for driving the laser radar range finder to carry out scanning ranging;
the control main board is connected with the server side upper computer through the matching of a network cable and the switch and is controlled by the server side upper computer;
a lower computer connected with the upper computer of the server side is configured on the control mainboard, and comprises an IP (Internet protocol), a port and the like of the lower computer;
the lower computer sets the height and the position of the lower computer so as to determine the position of the detection point when all point positions are drawn;
step two, after the deployment of the detection points is finished, the upper computer of the server side is connected with the port according to the IP set by the lower computer, and then the upper computer of the server side can issue a control command to the point location for distance measurement and data return;
step three, the upper computer of the server side sends a detection command, commands all point locations to start scanning the three-dimensional structure of the railway canopy and returns scanned information points in real time;
analyzing and three-dimensional imaging drawing according to the returned information points, and storing the returned information points into a database for subsequent analysis and historical record;
after receiving the command, the lower computer controls the transverse rotation steering engine and the longitudinal rotation steering engine to rotate, and measurement is carried out according to the measurement angle information set by the lower computer;
and step five, after each data point is obtained by the lower computer, the data points are transmitted to the upper computer of the server end through UDP communication, and the upper computer of the server end informs the lower computer of the point position, and the lower computer can deploy a plurality of position points.
And sixthly, the upper computer of the server stores the data of the lower computer, starts to analyze the data, and starts to analyze and process according to the historical point location data and the current measurement data, wherein the processing mode is as follows:
according to data points returned by all the ranging point positions, transmitting the point information to a drawing control in a point cloud data mode for three-dimensional imaging drawing, and updating the drawing after each ranging return;
the structural deformation analysis algorithm is specifically as follows:
according to the currently returned data point, comparing the point position difference with the set previous times, for example, the previous ten times of distance measurement, and judging within a set precision range, wherein the precision range is default to plus or minus 2 mm;
if the error value exceeds the positive and negative error value, secondary verification is carried out and the error condition is determined, and if the error value still exceeds the set precision range, an alarm is given and the front end is informed to display and record;
comparing all historical measurement records in a mode of predicting structural deformation in advance, analyzing the difference of point positions, particularly the situation of trend type growth, and displaying the analysis result in a trend graph mode;
the ranging verification algorithm is specifically as follows:
the average value checking algorithm is used for storing all data measured for many times in a queue, obtaining a checking value according to the average value of the values, judging according to the checking value, checking whether the current value exceeds the checking value judgment range, and judging whether the precision exceeds the precision range after the absolute value of the obtained range is obtained; the verification algorithm is as follows:
|SUM(A)/C–D|>F
wherein, a is all measured values, C is the number of measured values, D is a value to be checked, and F is an accuracy range;
in this embodiment, fig. 1 mainly explains the overall monitoring scanning and processing flow of the system, circulates all deployed data points, sends a measurement scanning command to each data point, analyzes and processes the data according to the scanning data returned by communication, and draws a three-dimensional surface, and enters an alarm flow if an alarm is triggered.
The working principle of the invention is as follows: a plurality of detection points can be deployed when a three-dimensional structure of a railway canopy is detected, interaction with a server-side upper computer is uniformly carried out through network cables and switches, and finally, measurement results are received and processed by the server-side upper computer in a unified mode. One detection point is provided with one set of laser radar distance measuring thunder instrument, a transverse rotation steering engine, a longitudinal rotation steering engine and a control main board, is connected with the switch through a network port, is finally communicated with the server side upper computer and is controlled by the server side upper computer. And the upper computer of the server side sends a detection command to command all the point positions to scan the canopy structure and return the scanned information points in real time. And analyzing and three-dimensional imaging drawing according to the returned information points, and storing the information points returned each time into a database for subsequent analysis and historical record.
Although the preferred embodiments of the present patent have been described in detail, the present patent is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present patent within the knowledge of those skilled in the art.

Claims (3)

1. A three-dimensional structure measurement and deformation analysis method for a railway canopy is characterized by comprising the following steps:
the method comprises the steps that firstly, a plurality of detection points are deployed to detect the three-dimensional structure of the railway canopy, and each detection point is provided with a transverse rotating steering engine, a longitudinal rotating steering engine, a laser radar range finder and a control main board;
the laser radar range finder is bound on the transverse rotation steering engine and the longitudinal rotation steering engine, and when point positions are dynamically measured, the range finding of different point positions is carried out according to the rotation of the transverse rotation steering engine and the longitudinal rotation steering engine; the data control lines of the transverse rotation steering engine and the longitudinal rotation steering engine are respectively connected with the control main board;
the control main board is connected with the server side upper computer through the matching of a network cable and the switch and is controlled by the server side upper computer;
a lower computer connected with the upper computer of the server side is configured on the control mainboard and comprises an IP and a port of the lower computer;
step two, after the deployment of the detection points is finished, the upper computer of the server side is connected with the port according to the IP set by the lower computer, and then the upper computer of the server side can issue a control command to the point location for distance measurement and data return;
step three, the upper computer of the server side sends a detection command, commands all point locations to start scanning the three-dimensional structure of the railway canopy and returns scanned information points in real time;
analyzing and three-dimensional imaging drawing according to the returned information points, and storing the returned information points into a database for subsequent analysis and historical record;
after receiving the command, the lower computer controls the transverse rotation steering engine and the longitudinal rotation steering engine to rotate, and measurement is carried out according to the measurement angle information set by the lower computer;
and step five, after each data point is obtained by the lower computer, transmitting the data points to the upper computer of the service end through UDP communication, and informing the upper computer of the point position.
And sixthly, the upper computer of the server stores the data of the lower computer, starts to analyze the data, and starts to analyze and process according to the historical point location data and the current measurement data, wherein the processing mode is as follows:
according to data points returned by all detection point positions, transmitting the point information to a drawing control in a point cloud data mode for three-dimensional imaging drawing, and updating drawing after distance measurement is returned every time;
the structural deformation analysis algorithm is specifically as follows:
according to the currently returned data point, comparing the point location difference with the set point location differences of the previous times, and judging within a set precision range;
if the error value exceeds the positive and negative error value, secondary verification is carried out and the error condition is determined, and if the error value still exceeds the set precision range, an alarm is given and the front end is informed to display and record;
comparing all historical measurement records in a mode of predicting structural deformation in advance, analyzing the difference of point positions, and displaying the analysis result in a trend graph mode;
the ranging verification algorithm is specifically as follows:
the average value checking algorithm is used for storing all data measured for many times in a queue, obtaining a checking value according to the average value of the values, judging according to the checking value, checking whether the current value exceeds the checking value judgment range, and judging whether the precision exceeds the precision range after the absolute value of the obtained range is obtained; the verification algorithm is as follows:
|SUM(A)/C–D|>F
wherein, a is all measured values, C is the number of measured values, D is the value to be checked, and F is the accuracy range.
2. The method for measuring and analyzing the deformation of the three-dimensional structure of the railway canopy according to claim 1, wherein the lower computer sets the height and the position of the lower computer so as to determine the position of the detection point when all point positions are drawn.
3. The method for measuring and analyzing the deformation of the three-dimensional structure of the railway canopy according to claim 1, wherein the accuracy range is plus or minus 2 mm by default.
CN202210136919.8A 2022-02-15 2022-02-15 Three-dimensional structure measurement and deformation analysis method for railway canopy Pending CN114234844A (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205951992U (en) * 2016-07-07 2017-02-15 沈阳铁路局科学技术研究所 Railway tunnel boundary limit dynamic inspection system based on laser scanning distance measurement appearance
CN107218899A (en) * 2017-06-02 2017-09-29 北斗卫星导航科技邢台有限公司 A kind of deformation high-precision intelligent detection method towards subterranean tunnels such as civil air defense works
WO2017197617A1 (en) * 2016-05-19 2017-11-23 深圳市速腾聚创科技有限公司 Movable three-dimensional laser scanning system and movable three-dimensional laser scanning method
CN108827157A (en) * 2018-08-31 2018-11-16 广州视源电子科技股份有限公司 Method of calibration, device, system, equipment and the storage medium of laser measurement
CN110411361A (en) * 2019-05-15 2019-11-05 首都师范大学 A kind of mobile tunnel laser detection data processing method
CN110725188A (en) * 2019-10-17 2020-01-24 惠冰 System precision site calibration method for road vehicle-mounted three-dimensional laser system
CN210180409U (en) * 2019-08-16 2020-03-24 中国铁路上海局集团有限公司科学技术研究所 Canopy limit measuring device for existing railway line platform

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017197617A1 (en) * 2016-05-19 2017-11-23 深圳市速腾聚创科技有限公司 Movable three-dimensional laser scanning system and movable three-dimensional laser scanning method
CN205951992U (en) * 2016-07-07 2017-02-15 沈阳铁路局科学技术研究所 Railway tunnel boundary limit dynamic inspection system based on laser scanning distance measurement appearance
CN107218899A (en) * 2017-06-02 2017-09-29 北斗卫星导航科技邢台有限公司 A kind of deformation high-precision intelligent detection method towards subterranean tunnels such as civil air defense works
CN108827157A (en) * 2018-08-31 2018-11-16 广州视源电子科技股份有限公司 Method of calibration, device, system, equipment and the storage medium of laser measurement
CN110411361A (en) * 2019-05-15 2019-11-05 首都师范大学 A kind of mobile tunnel laser detection data processing method
CN210180409U (en) * 2019-08-16 2020-03-24 中国铁路上海局集团有限公司科学技术研究所 Canopy limit measuring device for existing railway line platform
CN110725188A (en) * 2019-10-17 2020-01-24 惠冰 System precision site calibration method for road vehicle-mounted three-dimensional laser system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
李小路;曾晶晶;王皓;徐立军;: "三维扫描激光雷达系统设计及实时成像技术", 红外与激光工程, no. 05 *

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