Track measuring system and measuring method

Abstract

The invention belongs to the technical field of track measurement, and relates to a track measurement system and method, and the system comprises a reference construction module which is used for erecting parallel reference lines at the two sides of a track; the mobile measurement module is mounted on the datum line in a sliding manner and comprises a data acquisition unit and a power driving unit; the data processing module is in communication connection with the mobile measurement module and is used for receiving and processing the collected data; the load simulation module is used for simulating different load states of the track; and the fluctuation simulation module is used for simulating the floating change of the input voltage. The datum lines are erected on the two sides of the track, so that the mobile measurement module slides along the datum lines for measurement, the problem of poor measurement linearity caused by unevenness of the track in a traditional measurement mode is solved, and the measurement precision is remarkably improved; the power driving unit is adopted to enable the mobile measuring module to automatically move along the datum line, an operator does not need to manually push a carrier, and the labor intensity is greatly reduced.

Description

Technical Field

[0001] This invention belongs to the field of track measurement technology, specifically, it relates to a track measurement system and measurement method. Background Technology

[0002] In the field of modern rail transit, the safe and stable operation of tracks is of paramount importance, and accurate track measurement is the foundation for ensuring its safe operation. With the rapid development of the rail transit industry, higher requirements are being placed on the accuracy, efficiency, and comprehensiveness of track measurement.

[0003] In the field of track inspection, traditional measuring devices typically rely on a mobile carrier to travel along the track to complete measurement tasks. This method has several shortcomings. On the one hand, operators need to push the carrier, resulting in high labor intensity, and it is difficult to ensure the straightness of the measurement in uneven track areas, leading to large errors in the measurement results. On the other hand, the measuring device is in direct contact with the track, making it susceptible to damage to components due to unevenness or debris on the track surface, affecting the accuracy of the measurement and the service life of the device. Furthermore, existing technologies are not comprehensive enough in detecting track-related performance under conditions such as track load changes and voltage fluctuations, failing to fully consider the impact of numerical fluctuations on the measurement results.

[0004] Therefore, the present invention provides a track measurement system and measurement method. Summary of the Invention

[0005] The purpose of this invention is to provide a track measurement system and method that solves the problems of high labor intensity, easy damage to parts, and incomplete detection in the prior art.

[0006] The objective of this invention can be achieved through the following technical solutions: An orbit measurement system, comprising: The baseline construction module is used to establish parallel baselines on both sides of the track; The mobile measurement module is slidably mounted on the baseline and includes a data acquisition unit and a power drive unit. The data processing module is communicatively connected to the mobile measurement module and is used to receive and process the collected data; The load simulation module is used to simulate different load conditions on the track. The fluctuation simulation module is used to simulate the fluctuation of the input voltage.

[0007] Preferably, the data processing module is used for: Construct proportional adjustment curves and measurement data change curves for the load change correlation interval; The proportional adjustment curve and the measurement data change curve are compared and analyzed to assess abnormal loads.

[0008] Preferably, the data processing module is specifically used for: Select the initial or final point of the proportional adjustment curve and mirror it to obtain a mirrored curve; Align the initial endpoint of the mirror curve with the initial endpoint of the measured data change curve to identify whether the two sets of curves completely overlap, in order to assess whether there is an abnormal load.

[0009] Preferably, during load simulation measurement, the moving measurement module maintains a constant input voltage, moves along a baseline, and collects data.

[0010] Preferably, the execution load of the mobile measurement module is adjusted proportionally according to the load change correlation range.

[0011] This invention also discloses a method for orbit measurement, comprising: The steps for setting up the baseline are as follows: Set up parallel baselines on both sides of the track to be measured; Installation and initialization steps for the moving measurement module: Install the moving measurement module on the baseline and initialize it; Load simulation measurement steps: Based on the preset load change correlation range, simulate different load states, collect data and construct curves.

[0012] Preferably, the method also includes a fluctuation environment measurement step: causing the input voltage to fluctuate, performing proportional load adjustment, recording the output measurement data, and constructing a curve.

[0013] Preferably, it also includes data processing and analysis steps: The fluctuation points are determined based on the input voltage fluctuation curve, and the rising and falling segments are divided. For the rising segment, determine the execution load range. ,in Here are the input voltage values ​​at different times during the rising segment. For the output measurement data values ​​at the corresponding time, determine the variable ratio interval and calculate the fluctuation ratio difference.

[0014] Preferably, the data processing and analysis steps further include: For the descending segment, the volatility ratio difference is calculated using the same method as for the ascending segment; The fluctuation ratio difference between the rising and falling segments is compared with the preset values ​​K1 and K2 respectively to determine the non-compliance ratio difference; Calculate the percentage P of the non-compliance ratio within the load change correlation range. If P ≥ 90%, the fluctuation test is deemed to be compliant; otherwise, it is deemed non-compliant.

[0015] Preferably, in the load simulation measurement step, the specific method for constructing the proportional adjustment curve is as follows: the rated voltage of the specified parameter is connected and kept constant; the load is adjusted sequentially from small to large according to the load change correlation range, with the adjustment ratio difference being consistent each time; and the proportional adjustment curve is determined based on the time line.

[0016] The beneficial effects of this invention are: This invention, by setting up a baseline on both sides of the track, allows the moving measurement module to slide along the baseline for measurement, thus avoiding the problem of poor measurement straightness caused by uneven track in traditional measurement methods and significantly improving measurement accuracy. This invention uses a power drive unit to automatically move the mobile measurement module along the baseline, eliminating the need for operators to manually push the carrier and greatly reducing labor intensity.

[0017] The mobile measurement module of this invention does not directly contact the track, thus avoiding damage to the measuring device components caused by unevenness or debris on the track surface and extending the service life of the equipment.

[0018] This invention uses a load simulation module and a fluctuation simulation module to simulate the state of the track under different load conditions and voltage fluctuation environments, which can comprehensively detect the track performance under various actual working conditions, fully consider the impact of numerical fluctuations on the measurement results, and improve the comprehensiveness and reliability of the detection.

[0019] The data processing module of this invention can accurately assess abnormal loads and fluctuations by constructing multiple curves and performing comparative analysis, providing a scientific basis for track maintenance and evaluation. Attached Figure Description

[0020] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a system block diagram of a track measurement system according to the present invention.

[0022] Figure 2 This is a flowchart of a track measurement method according to the present invention. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] Please see Figure 1 As shown, the present invention is a track measurement system, comprising: Benchmark building module: Used to set up parallel benchmark lines on both sides of the track, providing benchmark support for the measurement process.

[0025] Mobile measurement module: Slidingly mounted on the baseline, used for measuring the track. The mobile measurement module includes a data acquisition unit and a power drive unit.

[0026] Data processing module: Communicatively connected to the mobile measurement module, used to receive and process the data collected by the mobile measurement module to evaluate parameters such as track flatness.

[0027] Load simulation module: Used to simulate the state of the track under different load conditions, so as to detect the performance of the track when the load changes.

[0028] Fluctuation Simulation Module: Used to simulate the track's condition under conditions such as voltage fluctuations, in order to test the track's adaptability to fluctuating environments.

[0029] Please see Figure 2 As shown, the present invention is a track measurement method, comprising the following steps: Baseline establishment: Parallel baselines are established on both sides of the track to be measured using the baseline construction module.

[0030] Installation and initialization of the moving measurement module: Slide the moving measurement module onto the baseline and initialize it.

[0031] Load simulation measurement: Based on the preset load change correlation range, the track is subjected to different load states through the load simulation module.

[0032] Keeping the input voltage constant, the moving measurement module moves along the baseline to collect relevant data of the track under different load conditions.

[0033] Construct proportional adjustment curves for load change correlation intervals and corresponding measurement data change curves.

[0034] Measurement of fluctuating environments: The input voltage is made to fluctuate by a fluctuation simulation module, while the execution load of the moving measurement module is adjusted proportionally according to the load change correlation range.

[0035] Record the measurement data output by the mobile measurement module during the adjustment process, and construct the input voltage fluctuation curve and the output measurement data fluctuation curve.

[0036] Data processing and analysis: The constructed proportional adjustment curve and the measurement data change curve are compared and analyzed to determine whether there is an abnormal load.

[0037] Based on the fluctuation curves of the input voltage and the output measurement data, the fluctuation points are determined, and the curves are divided into rising and falling segments.

[0038] For the ascending segment, determine its associated execution load interval and calculate the variable ratio. (in These represent the input voltage values ​​at different times during the rising segment. For the output measurement data values ​​at the corresponding time, determine the variable ratio interval and calculate the fluctuation ratio difference.

[0039] For the descending segment, the same treatment method as for the ascending segment is used to calculate its volatility difference.

[0040] The fluctuation ratios of the rising and falling segments are compared with preset values ​​to determine the non-compliant ratios.

[0041] Calculate the proportion P of the non-compliance ratio within the load change correlation interval. If the measurement of the track under fluctuating conditions is satisfactory, it is determined that the measurement meets the standard; otherwise, it is determined that the measurement does not meet the standard.

[0042] The specific implementation method is as follows: Example 1

[0043] The baseline construction module employs a retractable support structure, with supports spaced at regular intervals on both sides of the track. A pulley system is mounted on top of each support, and steel cables are tensioned on these pulleys to form a baseline. The height and level of the baseline can be precisely adjusted using adjustment devices on the supports, ensuring that the two baselines are parallel and maintain a fixed relative position to the track.

[0044] The moving measurement module is designed with a frame structure, with sliders on both sides slidably connected to the baseline. The data acquisition unit includes various sensors such as a laser rangefinder and an inclination sensor to collect the geometric and physical parameters of the track. The power drive unit uses a motor-driven roller mechanism; the rollers contact the baseline, and the rotation of the motor moves the moving measurement module along the baseline.

[0045] Data processing module: Employs an industrial-grade computer equipped with a high-speed processor and large-capacity memory. The computer has dedicated data processing software installed, capable of receiving data collected by the mobile measurement module and performing real-time processing and analysis. The data processing module also includes a display screen and printer for displaying and outputting measurement results.

[0046] Load simulation module: Employing a hydraulic loading system, this module applies vertical loads of varying magnitudes to the track via hydraulic cylinders, simulating the load exerted on the track by a moving train. The hydraulic loading system consists of a hydraulic pump station, hydraulic cylinders, pressure sensors, and a controller, enabling precise control of the load magnitude and loading time.

[0047] Voltage fluctuation simulation module: Employing a programmable power supply, this module outputs voltage fluctuation signals of varying frequencies and amplitudes to simulate voltage fluctuations that the track may encounter during actual operation. The module also includes a voltage sensor and signal conditioning circuitry for monitoring and conditioning the input voltage signal. Example 2

[0048] Baseline establishment: On both sides of the track to be measured, set up a support every 10 meters. Adjust the height and level of the supports so that the pulley blocks at the top of the supports are on the same horizontal plane. Thread the steel wire rope through the pulley blocks and tension it to form two parallel baselines, with the distance between the baselines and the track being 1 meter.

[0049] Installation and initialization of the mobile measurement module: Install the mobile measurement module on the baseline using the slider, and check whether the sliding contact between the slider and the baseline is smooth. Connect the power supply and initialize the data acquisition unit and power drive unit of the mobile measurement module, and calibrate the zero point and range of the sensor.

[0050] Load simulation measurement: The load change correlation range is set to 0-100kN, with each 10kN interval representing a load level.

[0051] The load simulation module applies different levels of load to the track sequentially, and the load is kept stable for 1 minute after each loading.

[0052] Keeping the input voltage constant at the rated value of 220V, start the moving measurement module and move it along the baseline at a speed of 0.5m / s. At the same time, the data acquisition unit collects the geometric and physical parameters of the track.

[0053] Based on the collected data, the data processing module constructs a proportional adjustment curve for the load change correlation range and the corresponding measurement data change curve.

[0054] Measurement of fluctuating environments: The input voltage fluctuation range is set to ±10% of the rated value, and the fluctuation frequency is 0.5Hz.

[0055] The input voltage is made to fluctuate according to the set fluctuation range and frequency by the fluctuation simulation module, while the execution load of the moving measurement module is adjusted proportionally according to the load change correlation range.

[0056] The measurement data output by the moving measurement module during the adjustment process is recorded, and the data processing module constructs the input voltage fluctuation curve and the output measurement data fluctuation curve.

[0057] Data processing and analysis: The data processing module compares and analyzes the constructed proportional adjustment curve and the measured data change curve. By selecting the initial endpoint of the proportional adjustment curve and performing mirroring, a mirror curve is obtained. The initial endpoint of the mirror curve is then aligned with the initial endpoint of the measured data change curve to identify whether the two sets of curves completely overlap and to assess whether there is an abnormal load.

[0058] Based on the fluctuation curves of the input voltage and the output measurement data, the fluctuation points are determined, and the curves are divided into rising and falling segments.

[0059] For the ascending segment, its associated execution load range is determined to be 20-80kN, and the variable ratio is calculated. ,in These represent the input voltage values ​​at different times during the rising segment. For the output measurement data values ​​at the corresponding time, the variable ratio range is determined to be 0.8-1.2, and the fluctuation ratio difference is calculated.

[0060] For the descending segment, the same treatment method as for the ascending segment is used to calculate its volatility difference.

[0061] The fluctuation ratio difference between the rising and falling segments is compared with the preset value. Compare the results to determine the percentage of substandard products.

[0062] Calculate the percentage of non-compliance within the load variation correlation range. ,because The measurement of the orbit under fluctuating conditions was deemed to meet the standards.

[0063] By implementing the above systems and methods, the track can be measured and evaluated efficiently and accurately, providing strong technical support for track maintenance and management.

[0064] In the description of this specification, the references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0065] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in the claims, they should all fall within the protection scope of the present invention.

Claims

1. A track measurement system, characterized in that: include: The baseline construction module is used to establish parallel baselines on both sides of the track; The mobile measurement module is slidably mounted on the baseline and includes a data acquisition unit and a power drive unit. The data processing module is communicatively connected to the mobile measurement module and is used to receive and process the collected data; The load simulation module is used to simulate different load conditions on the track. The fluctuation simulation module is used to simulate the fluctuation of the input voltage.

2. The track measurement system according to claim 1, characterized in that: The data processing module is used for: Construct proportional adjustment curves and measurement data change curves for the load change correlation interval; The proportional adjustment curve and the measurement data change curve are compared and analyzed to assess abnormal loads.

3. The track measurement system according to claim 2, characterized in that: The data processing module is specifically used for: Select the initial or final point of the proportional adjustment curve and mirror it to obtain a mirrored curve; Align the initial endpoint of the mirror curve with the initial endpoint of the measured data change curve to identify whether the two sets of curves completely overlap, in order to assess whether there is an abnormal load.

4. The track measurement system according to claim 1, characterized in that: During load simulation measurement, the mobile measurement module maintains a constant input voltage, moves along a baseline, and collects data.

5. The track measurement system according to claim 1, characterized in that: The execution load of the mobile measurement module is adjusted proportionally according to the load change correlation range.

6. A measurement method based on the track measurement system according to any one of claims 1-5, characterized in that, include: The steps for setting up the baseline are as follows: Set up parallel baselines on both sides of the track to be measured; Installation and initialization steps for the moving measurement module: Install the moving measurement module on the baseline and initialize it; Load simulation measurement steps: Based on the preset load change correlation range, simulate different load states, collect data and construct curves.

7. The measurement method according to claim 6, characterized in that, It also includes a fluctuating environment measurement step: making the input voltage fluctuate, performing proportional load adjustment, recording the output measurement data and constructing a curve.

8. The measurement method according to claim 6 further includes a data processing and analysis step: The fluctuation points are determined based on the input voltage fluctuation curve, and the rising and falling segments are divided. For the rising segment, determine the execution load range. ,in These represent the input voltage values ​​at different times during the rising segment. For the output measurement data values ​​at the corresponding time, determine the variable ratio interval and calculate the fluctuation ratio difference.

9. The measurement method according to claim 6, wherein the data processing and analysis step further includes: For the descending segment, the volatility ratio difference is calculated using the same method as for the ascending segment; The fluctuation ratio difference between the rising and falling segments is compared with the preset values ​​K1 and K2 respectively to determine the non-compliance ratio difference; Calculate the percentage P of the non-compliance ratio within the load change correlation range. If P ≥ 90%, the fluctuation test is deemed to be compliant; otherwise, it is deemed non-compliant.

10. The measurement method according to claim 6, wherein in the load simulation measurement step, the specific method for constructing the proportional adjustment curve is as follows: the rated voltage of the specified parameter is connected and kept constant; the load is adjusted sequentially from small to large according to the load change correlation range, with the adjustment ratio difference being consistent each time; and the proportional adjustment curve is determined according to the time line.

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