CN114030504A - Track parameter measuring and calculating system and method of track inspection instrument - Google Patents
Track parameter measuring and calculating system and method of track inspection instrument Download PDFInfo
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- 238000007689 inspection Methods 0.000 title claims abstract description 47
- 238000000034 method Methods 0.000 title claims description 15
- 238000005259 measurement Methods 0.000 claims abstract description 23
- 238000004458 analytical method Methods 0.000 claims abstract description 13
- 229910000831 Steel Inorganic materials 0.000 claims description 86
- 239000010959 steel Substances 0.000 claims description 86
- 238000005299 abrasion Methods 0.000 claims description 47
- 238000004148 unit process Methods 0.000 claims description 8
- 238000013178 mathematical model Methods 0.000 claims description 5
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61K—AUXILIARY EQUIPMENT SPECIALLY ADAPTED FOR RAILWAYS, NOT OTHERWISE PROVIDED FOR
- B61K9/00—Railway vehicle profile gauges; Detecting or indicating overheating of components; Apparatus on locomotives or cars to indicate bad track sections; General design of track recording vehicles
- B61K9/08—Measuring installations for surveying permanent way
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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- G06T3/08—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10028—Range image; Depth image; 3D point clouds
Abstract
The invention provides a track parameter measuring and calculating system of a track inspection tester, which comprises: the trigger module comprises a driving unit and a position encoder, and the position encoder is connected with the driving motor; the laser scanning module comprises a data acquisition unit and a data processing unit, and the data acquisition unit is connected with the data processing unit; the position encoder is connected with the data acquisition unit; the main control module comprises a storage unit and an analysis unit, and the storage unit is connected with the analysis unit; the storage unit is connected with the data processing unit; and the display module is connected with the storage unit of the main control module. The whole modularization, the constitution is with low costs, and the structure is small and exquisite, simple to operate has alleviateed workman intensity of labour greatly, has improved track geometric parameters measurement accuracy.
Description
Technical Field
The invention belongs to the technical field of track detection, and particularly relates to a track parameter measuring and calculating system and a measuring and calculating method of a track inspection tester.
Background
The track inspection tester is mainly used for detecting static geometric parameters of a track, namely track gauge, level (or super-high), left and right track directions, vector, left and right height and triangular pits, and is the most basic instrument for ensuring driving safety. At present, manufacturers for manufacturing the track inspection tester are few, so that equipment is few and the cost is high, so that the track detection cost is high, the conventional track inspection tester cannot measure the change radius of a steel rail or a subway when the change radius is large, the conventional track inspection tester cannot be applied to various situations in subway measurement, and the abrasion value cannot be accurately predicted.
Disclosure of Invention
In view of the above-mentioned drawbacks and deficiencies of the prior art, the present invention provides a system and a method for measuring and calculating track parameters of a track inspection machine.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
a track parameter measurement system of a track inspection tester comprises: the trigger module is arranged on the track inspection instrument and used for sending a trigger signal after detecting the movement of the vehicle body; the laser scanning device comprises a driving unit and a position encoder, wherein the position encoder is connected with the driving unit and is configured to send a trigger signal to a laser scanning module after receiving a starting signal of a driving motor; the laser scanning module is arranged on the track inspection tester and comprises a data acquisition unit and a data processing unit, and the data acquisition unit is connected with the data processing unit; the position encoder is connected with the data acquisition unit; the image acquisition and processing system is configured to start image acquisition and processing after receiving a trigger signal sent by a position encoder; the main control module is arranged on the track inspection instrument and used for storing data sent by the laser scanning module; the device comprises a storage unit and an analysis unit, wherein the storage unit is connected with the analysis unit; the storage unit is connected with the data processing unit; the display module is installed on the track inspection instrument, connected with the storage unit of the main control module and configured to display the received data according to the technical scheme provided by the embodiment of the application.
According to the technical scheme provided by the embodiment of the application, the data acquisition unit comprises a laser and a camera; preferably, the laser is a linear structure laser, and the camera is an industrial camera or a CCD camera.
In a second aspect, a method for measuring and calculating a track parameter of a track inspection instrument is implemented by the track parameter measuring and calculating system, and includes the following steps:
step S1, the driving unit drives the track inspection tester to start moving on the track; after receiving a starting signal of the driving motor, the position encoder sends a trigger signal to the laser scanning module; meanwhile, when the track inspection tester walks for a preset distance, the position encoder sends a pulse signal to the laser scanning module;
step S2, the laser scanning module receives the signal sent by the position sensor, and starts the data acquisition and data processing; the data acquisition unit acquires light bar images at equal distances under the position variable encoder signals and sends the acquired light bar images to the data processing unit; the data processing unit processes the light bar image into point cloud data, further resolves the point cloud data into track geometric parameters and sends the track geometric parameters to the main control module;
step S3, the main control module receives the track geometric parameters and then sends the track geometric parameters to the storage unit for storage, and sends the track geometric parameters to the display module, and meanwhile, the analysis unit analyzes the wear values in the track geometric parameters and compares the wear values with historical data stored in the storage unit to predict future wear values;
in step S4, the display module displays the received data.
According to the technical scheme provided by the embodiment of the application, the data processing unit processes data and comprises the following steps:
acquiring light bar central coordinates from a light bar image of a standard track, converting the light bar central coordinates into standard track point cloud data, and fitting the standard track point cloud data to form a parameter model;
acquiring light bar central coordinates from a light bar image of a measured track, and converting the light bar central coordinates into measured track point cloud data;
substituting the fitted measured track point cloud data and the parameter model into a mathematical model;
and comparing the fitted measured track point cloud data with the parameter model, and calculating corresponding track geometric parameters.
According to the technical scheme provided by the embodiment of the application, the method for calculating the rail parameters of the rail abrasion comprises the following steps:
(1) calculating horizontal abrasion of steel rail
Selecting a steel rail horizontal abrasion point from a steel rail horizontal abrasion starting point to a steel rail horizontal abrasion ending point from the detected steel rail light strip image, and converting the steel rail horizontal abrasion point image coordinate into a steel rail horizontal abrasion point cloud;
calculating the distance between the steel rail horizontal wear point cloud and the steel rail vertical reference line;
sorting the calculated distances, and selecting m distance values from big to small to average to obtain the horizontal abrasion of the steel rail;
(2) calculating vertical wear of rail
Selecting a steel rail vertical abrasion point from a steel rail light strip image to a steel rail vertical abrasion starting point to an end point, and converting the image coordinate of the steel rail vertical abrasion point into a steel rail vertical abrasion point cloud;
calculating the distance between the point cloud of the vertical wear of the steel rail and the horizontal reference line of the steel rail;
sorting the calculated distances, and selecting m distance values from big to small to average to obtain the relative thickness of the rail top of the steel rail;
calculating the difference value between the standard value of the relative thickness of the rail top of the steel rail and the relative thickness of the rail top of the steel rail to obtain the vertical abrasion of the steel rail;
(3) calculating total wear of rail
Total rail wear is 1/2 rail horizontal wear + rail vertical wear.
According to the technical scheme provided by the embodiment of the application, the track parameter for calculating the rail gauge of the steel rail comprises the following steps:
(1) acquiring the point cloud of the steel rail segment from the vertical abrasion starting point to the end point of the steel rail from the light strip image of the measured steel rail,
(2) calculating the average value of the distance values between the point cloud and the vertical reference line of the steel rail, wherein the distance values are positive and negative, and the vertical error amount of the running rail is obtained;
(3) and superposing the vertical dislocation quantity of the two left and right traveling rails with the standard gauge to obtain the gauge of the measured steel rail.
The invention has the following beneficial effects:
because the laser scanning module and the main control module of the measuring and calculating system are integrated and installed on the track inspection instrument, compared with the existing track inspection instrument, the measuring and calculating system is integrally modularized, has low composition cost, small structure and convenient installation, and can be integrated on the track inspection instrument or various track running devices in a modularized mode. According to different application environments, corresponding parameter setting is carried out to achieve accurate precision, for example, an orbit parameter model is changed, and therefore the application scenarios are more. Compared with the measurement of one section of the existing manual ruler, the labor intensity of workers is greatly reduced, and the measurement precision of the geometrical parameters of the track is improved. The on-line abrasion measurement of the track can be carried out, meanwhile, the storage unit of the main control module stores historical measurement data, and the abrasion can be predicted through data analysis and comparison of the measurement data and the historical data.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings:
FIG. 1 is a block diagram of a measurement and calculation system according to the present application;
FIG. 2 is a schematic diagram of the measurement of line structured light as described herein;
FIG. 3 is a flow chart of the steps of the estimation method described in the application;
FIG. 4 is a flow chart of the processing steps of the data processing unit described herein;
FIG. 5 is a schematic representation of a mathematical model described herein;
FIG. 6 is a schematic illustration of rail wear as described herein.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
The trigger module is arranged on the track inspection instrument and used for sending a trigger signal after detecting the movement of the vehicle body; the laser scanning device comprises a driving unit and a position encoder, wherein the position encoder is connected with the driving unit and is configured to send a trigger signal to a laser scanning module after receiving a starting signal of a driving motor; the laser scanning module is arranged on the track inspection tester and comprises a data acquisition unit and a data processing unit, and the data acquisition unit is connected with the data processing unit; the position encoder is connected with the data acquisition unit; the image acquisition and processing system is configured to start image acquisition and processing after receiving a trigger signal sent by a position encoder; the main control module is arranged on the track inspection instrument and used for storing data sent by the laser scanning module; the device comprises a storage unit and an analysis unit, wherein the storage unit is connected with the analysis unit; the storage unit is connected with the data processing unit; and the display module is arranged on the track inspection instrument, is connected with the storage unit of the main control module and is configured to display the received data.
Fig. 1 is a block diagram of the measurement system. The measuring and calculating system is installed on a vehicle body structure of a track inspection tester. The driving unit is a driving motor, and the driving motor is in driving connection with the track inspection tester. The position encoder is arranged on a rotating shaft of the vehicle body and is synchronous with the motion of the vehicle body to form trigger pulses. The driving motor drives the vehicle body to walk after being started, and the position encoder sends a trigger signal to the laser scanning module after receiving a starting signal of the driving motor; meanwhile, under the hard trigger of the position encoder, the data acquisition unit of the laser scanning module acquires the light bar images at equal intervals according to the distance and transmits the light bar images to the data processing unit for processing. And then the position encoder moves along with the track inspection instrument, generates and sends a pulse signal continuously in the movement process, and outputs the pulse signal to the laser scanning module, so that the synchronization of the speed and the frequency of a camera of the laser scanning module is realized.
And the laser scanning module starts to work after receiving the trigger signal of the position encoder. The laser emits laser light bars, and the camera collects light bar images and sends the light bar images to the data processing unit. The data processing unit processes the light bar image to obtain point cloud data, calculates the point cloud data to obtain track geometric parameters, and sends the track geometric parameters to the main control module.
The main control module is in communication connection with the laser scanning module. After receiving the track parameters sent by the data processing unit, the storage unit sends the track parameters to the display module to display data, so that the data can be conveniently checked by a worker. The storage unit of the main control module also stores the track geometric parameters to form historical data. The analysis unit of the main control module compares the received real-time data with historical data for analysis, and can predict future wear values.
And the display module is used for displaying the data sent by the main control module in real time so that a worker can check the measurement result.
Because the laser scanning module and the main control module of the measuring and calculating system are simultaneously installed on the track inspection instrument and are integrated into a whole, compared with the existing track inspection instrument, the measuring and calculating system can be integrated on the track inspection instrument or various track running devices in a modularized mode, is modularized integrally, low in composition cost, small in structure and convenient to install. Corresponding parameter setting is carried out according to different application environments so as to achieve accurate precision, and therefore, the method is more applicable to scenes. Compared with the measurement of one section of the existing manual ruler, the labor intensity of workers is greatly reduced, and the measurement precision of the geometrical parameters of the track is improved. An important measurement parameter in the geometric parameters of the track is a wear value, the measuring and calculating system can measure the on-line wear of the track, meanwhile, a storage unit of the main control module stores historical measurement data, and the wear can be predicted through data analysis and comparison of the measurement data and the historical data.
Furthermore, the measuring and calculating system further comprises a power supply module, and the power supply module is respectively connected with the triggering module, the laser scanning module, the main control module and the display module.
Please refer to the block diagram of fig. 1 specifically. The power module may be a battery power supply or the like. The laser scanning module is used for supplying power to the triggering module, the laser scanning module, the main control module and the display module.
Further, the data acquisition unit comprises a laser and a camera; preferably, the laser is a linear structure laser, and the camera is an industrial camera or a CCD camera.
Specifically, the laser and camera are mounted on the vehicle body structure. The laser and the camera are connected with the position encoder, and the laser and the camera are connected with the data processing unit. The measuring principle of the line structured laser is mainly to adopt a laser triangulation method. The laser projects a laser light bar on the surface of the object to be measured, and the position of the light bar center imaging in the light bar image shot by the CCD camera is changed due to different morphological characteristics of the surface of the object to be measured. And obtaining the surface fluctuation distance of the measured object through a triangular geometric relationship according to the included angle between the optical axis of the laser beam and the optical axis of the camera and the imaging position change of the center of the optical strip on the plane of the CCD camera.
Please refer to fig. 2 for a schematic diagram of measuring line structured light. According to the camera pinhole imaging model, the influence of factors such as distortion is not considered, a point position Pu corresponding to a space point P on an image plane is positioned on the light plane, and the coordinate values (xu, yu, f) of Pu under a camera coordinate system can be determined. And the point P is on a straight line passing through the origin Oc and the point Pu of the camera coordinate system, and under the condition that an optical plane equation is known, the intersection point of the straight line OcPu and the optical plane is obtained, namely the space coordinate of the point P is obtained.
A track parameter measuring and calculating method of a track inspection tester is realized by the track parameter measuring and calculating system, and comprises the following steps:
step S1, the driving unit drives the track inspection tester to start moving on the track; after receiving a starting signal of the driving motor, the position encoder sends a trigger signal to the laser scanning module; meanwhile, when the track inspection tester walks for a preset distance, the position encoder sends a pulse signal to the laser scanning module;
step S2, the laser scanning module receives the signal sent by the position sensor, and starts the data acquisition and data processing; the data acquisition unit acquires light bar images at equal distances under the position variable encoder signals and sends the acquired light bar images to the data processing unit; the data processing unit processes the light bar image into point cloud data, further resolves the point cloud data into track geometric parameters and sends the track geometric parameters to the main control module;
step S3, the main control module receives the track geometric parameters and then sends the track geometric parameters to the storage unit for storage, and sends the track geometric parameters to the display module, and meanwhile, the analysis unit analyzes the wear values in the track geometric parameters and compares the wear values with historical data stored in the storage unit to predict future wear values;
in step S4, the display module displays the received data.
The flow of steps is shown with reference to fig. 3. The driving motor is started, and the position encoder sends a trigger signal to the laser and the camera; meanwhile, every time the drive motor drives the track inspection tester to travel a preset distance on the track, the position encoder sends a pulse signal to the camera. The data acquisition unit of the laser scanning module collects light bar images at equal intervals according to the distance under the hard trigger of the position encoder and transmits the light bar images to the data processing unit for processing. The data processing unit processes the light strip image of the detected track to obtain point cloud data, and the point cloud data is calculated into track parameters and sent to the main control module. The track parameters include gauge, wear values, and the like. And obtaining the coordinates of the measured steel rail only by obtaining the point cloud data, and further calculating the distance.
The laser scanning module measures the processed data, sends the calculated data to the main control module in a digital mode, and the main control module can compare the measured data with historical data to obtain predicted data besides sending the data to the display module for displaying and storing.
Because the laser scanning module of this application adopts laser beam, the mode of non-contact to survey the wearing and tearing value of track, and then can obtain track geometric parameters, measurement accuracy improves. Meanwhile, the system can predict the future abrasion value according to the past measurement data.
Further, the data processing unit processes data including the steps of:
acquiring light bar central coordinates from a light bar image of a standard track, converting the light bar central coordinates into standard track point cloud data, and fitting the standard track point cloud data to form a parameter model;
acquiring light bar central coordinates from a light bar image of a measured track, and converting the light bar central coordinates into measured track point cloud data;
substituting the fitted measured track point cloud data and the parameter model into a mathematical model;
and comparing the fitted measured track point cloud data with the parameter model, and calculating corresponding track geometric parameters.
Referring to fig. 4, the data processing unit collects the light stripe image of the standard track, obtains the central coordinates of the light stripe to form point cloud data, and fits the point cloud data into a parameter model. And calling a corresponding preset standard parameter model before the measured track measurement work starts. The data processing unit carries out image processing on the collected light strip images of the measured track, obtains image coordinates of the light strip center of the measured track, calculates the surface point space coordinates of the measured track and forms point cloud data. The system motion parameters can be determined according to the sequence number of image acquisition by adopting a hard trigger mode and are used for integrating the three-dimensional coordinates of the surface points of the measured object; designing and developing an applicable data processing method according to the requirement of the track parameters, and calculating and processing the measurement point cloud to obtain final track parameters; and the system is communicated with the main control software through TCP/IP to upload related parameters and system states.
In the present application, the optical stripe image and the parameter model of the measured track are substituted into the mathematical model, as shown in fig. 5, the horizontal segment of the optical stripe corresponds to the horizontal abrasion value, and the vertical segment corresponds to the vertical abrasion value.
Further, calculating rail parameters of rail abrasion comprises the following steps:
(1) calculating horizontal abrasion of steel rail
Selecting a steel rail horizontal abrasion point from a steel rail horizontal abrasion starting point to a steel rail horizontal abrasion ending point from the detected steel rail light strip image, and converting the steel rail horizontal abrasion point image coordinate into a steel rail horizontal abrasion point cloud;
calculating the distance between the steel rail horizontal wear point cloud and the steel rail vertical reference line;
sorting the calculated distances, and selecting m distance values from big to small to average to obtain the horizontal abrasion of the steel rail;
(2) calculating vertical wear of rail
Selecting a steel rail vertical abrasion point from a steel rail light strip image to a steel rail vertical abrasion starting point to an end point, and converting the image coordinate of the steel rail vertical abrasion point into a steel rail vertical abrasion point cloud;
calculating the distance between the point cloud of the vertical wear of the steel rail and the horizontal reference line of the steel rail;
sorting the calculated distances, and selecting m distance values from big to small to average to obtain the relative thickness of the rail top of the steel rail;
calculating the difference value between the standard value of the relative thickness of the rail top of the steel rail and the relative thickness of the rail top of the steel rail to obtain the vertical abrasion of the steel rail;
(3) calculating total wear of rail
Total rail wear is 1/2 rail horizontal wear + rail vertical wear.
Specifically, after obtaining the parametric model of the standard steel rail, the horizontal reference line and the vertical reference line of the standard steel rail can be obtained, as shown by the dotted line in fig. 6. In fig. 6, two sets of adjacent broken lines represent the horizontal reference lines and the two vertical reference lines of the two standard rails corresponding to the standard rails of fig. 5, respectively.
Further, the track parameter for calculating the rail gauge of the steel rail comprises the following steps:
(1) acquiring the point cloud of the steel rail segment from the vertical abrasion starting point to the end point of the steel rail from the light strip image of the measured steel rail,
(2) calculating the average value of the distance values between the point cloud and the vertical reference line of the steel rail, wherein the distance values are positive and negative, and the vertical error amount of the running rail is obtained;
(3) and superposing the vertical dislocation quantity of the two left and right traveling rails with the standard gauge to obtain the gauge of the measured steel rail.
Specifically, the rail gauge refers to the minimum distance between two steel rail working edges within the range of 16mm of the rail surface. The track gauge deviation does not include a track gauge widening value set as specified, but the maximum track gauge (including the widening value and the deviation) must not exceed 1456 mm. Typically measured as a gauge value at 16 mm. The gauge is the superposition of the vertical offset of two running rails, and at present, the gauge of a standard steel rail, namely 1435mm plus the vertical offset of the left side and the right side, is used.
The foregoing description is only exemplary of the preferred embodiments of the invention and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features and (but not limited to) features having similar functions disclosed in the present invention are mutually replaced to form the technical solution.
Claims (7)
1. A track parameter measurement system of a track inspection tester is characterized by comprising:
the trigger module is arranged on the track inspection instrument and used for sending a trigger signal after detecting the movement of the vehicle body; the laser scanning device comprises a driving unit and a position encoder, wherein the position encoder is connected with the driving unit and is configured to send a trigger signal to a laser scanning module after receiving a starting signal of a driving motor;
the laser scanning module is arranged on the track inspection tester and comprises a data acquisition unit and a data processing unit, and the data acquisition unit is connected with the data processing unit; the position encoder is connected with the data acquisition unit; the image acquisition and processing system is configured to start image acquisition and processing after receiving a trigger signal sent by a position encoder;
the main control module is arranged on the track inspection instrument and used for storing data sent by the laser scanning module; the device comprises a storage unit and an analysis unit, wherein the storage unit is connected with the analysis unit; the storage unit is connected with the data processing unit;
and the display module is arranged on the track inspection instrument, is connected with the storage unit of the main control module and is configured to display the received data.
2. The system for measuring and calculating the track parameters of the track inspection instrument according to claim 1, further comprising a power module, wherein the power module is connected to the triggering module, the laser scanning module, the main control module and the display module respectively.
3. The system for track parameter measurement of a track inspection gauge according to claim 1, wherein said data acquisition unit comprises a laser and a camera; preferably, the laser is a linear structure laser, and the camera is an industrial camera or a CCD camera.
4. A method for measuring and calculating track parameters of a track inspection instrument, which is implemented by the system for measuring and calculating track parameters according to any one of claims 1 to 3, and comprises the following steps:
step S1, the driving unit drives the track inspection tester to start moving on the track; after receiving a starting signal of the driving motor, the position encoder sends a trigger signal to the laser scanning module; meanwhile, when the track inspection tester walks for a preset distance, the position encoder sends a pulse signal to the laser scanning module;
step S2, the laser scanning module receives the signal sent by the position sensor, and starts the data acquisition and data processing; the data acquisition unit acquires light bar images at equal distances under the position variable encoder signals and sends the acquired light bar images to the data processing unit; the data processing unit processes the light bar image into point cloud data, further resolves the point cloud data into track geometric parameters and sends the track geometric parameters to the main control module;
step S3, the main control module receives the track geometric parameters and then sends the track geometric parameters to the storage unit for storage, and sends the track geometric parameters to the display module, and meanwhile, the analysis unit analyzes the wear values in the track geometric parameters and compares the wear values with historical data stored in the storage unit to predict future wear values;
in step S4, the display module displays the received data.
5. The method for measuring and calculating the track parameters of the track inspection instrument according to claim 4, wherein the data processing unit processes the data and comprises the following steps:
acquiring light bar central coordinates from a light bar image of a standard track, converting the light bar central coordinates into standard track point cloud data, and fitting the standard track point cloud data to form a parameter model;
acquiring light bar central coordinates from a light bar image of a measured track, and converting the light bar central coordinates into measured track point cloud data;
substituting the fitted measured track point cloud data and the parameter model into a mathematical model;
and comparing the fitted measured track point cloud data with the parameter model, and calculating corresponding track geometric parameters.
6. The method for estimating track parameters of a track inspection instrument according to claim 5, wherein the step of calculating the track parameters of the rail wear comprises the following steps:
(1) calculating horizontal abrasion of steel rail
Selecting a steel rail horizontal abrasion point from a steel rail horizontal abrasion starting point to a steel rail horizontal abrasion ending point from the detected steel rail light strip image, and converting the steel rail horizontal abrasion point image coordinate into a steel rail horizontal abrasion point cloud;
calculating the distance between the steel rail horizontal wear point cloud and the steel rail vertical reference line;
sorting the calculated distances, and selecting m distance values from big to small to average to obtain the horizontal abrasion of the steel rail;
(2) calculating vertical wear of rail
Selecting a steel rail vertical abrasion point from a steel rail light strip image to a steel rail vertical abrasion starting point to an end point, and converting the image coordinate of the steel rail vertical abrasion point into a steel rail vertical abrasion point cloud;
calculating the distance between the point cloud of the vertical wear of the steel rail and the horizontal reference line of the steel rail;
sorting the calculated distances, and selecting m distance values from big to small to average to obtain the relative thickness of the rail top of the steel rail;
calculating the difference value between the standard value of the relative thickness of the rail top of the steel rail and the relative thickness of the rail top of the steel rail to obtain the vertical abrasion of the steel rail;
(3) calculating total wear of rail
Total rail wear is 1/2 rail horizontal wear + rail vertical wear.
7. The method for measuring and calculating the track parameters of the track inspection instrument according to claim 6, wherein the step of calculating the track parameters of the rail gauge comprises the following steps:
(1) acquiring the point cloud of the steel rail segment from the vertical abrasion starting point to the end point of the steel rail from the light strip image of the measured steel rail,
(2) calculating the average value of the distance values between the point cloud and the vertical reference line of the steel rail, wherein the distance values are positive and negative, and the vertical error amount of the running rail is obtained;
(3) and superposing the vertical dislocation quantity of the two left and right traveling rails with the standard gauge to obtain the gauge of the measured steel rail.
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CN113320447A (en) * | 2021-07-13 | 2021-08-31 | 魏运 | Track-contact net equipment health state integration comprehensive detection robot |
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CN101576375A (en) * | 2009-05-21 | 2009-11-11 | 北京航空航天大学 | Fast processing method of laser vision image of steel rail wear |
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