Railway track intelligent detection system

Abstract

The invention provides a railway track intelligent detection system. The system comprises a measuring device which obtains geometric data information and positioning information of a detection point; the data acquisition intelligent terminal is used for binding the geometric data information and the positioning information based on a pre-stored position information set; and the intelligent disease analysis platform obtains the disease information of the detection point based on the railway track data set. By means of the Beidou high-precision positioning technology, inspection tracks and position information are recorded in real time, so that comprehensive coverage of inspection work can be ensured, and the phenomenon of missing inspection is avoided. Through database analysis and comparison, the database and the disease notification list are automatically generated, and paperless data and big data analysis are facilitated. According to the invention, high-precision positioning and data acquisition and processing are interdependent and mutually promoted, the high-precision positioning technology provides accurate position information for data acquisition, and the reliability of data processing is improved.

Description

Technical Field

[0001] The present invention relates to the field of railway track detection, and in particular to an intelligent railway track detection system. Background Art

[0002] With the continuous development of positioning technology, the emergence of Beidou high-precision positioning technology has brought new development opportunities to the railway field, playing an important role in railway operations, railway inspections, personnel safety protection, personnel positioning and tracking, etc. It has become a research hotspot to vigorously promote the deep integration of cutting-edge technologies such as Beidou satellite navigation and big data analysis with railway technical equipment, engineering construction, transportation services and other fields, strengthen the research and development and application of key core technologies of intelligent railways, promote the collaborative sharing of big data, promote the development of the digital economy in the railway field, and improve the level of railway intelligence.

[0003] The existing railway track detection methods are as follows:

[0004] 1. Data Measurement

[0005] Use a track gauge to check step by step at the specified turnout and line positions, first check the gauge and then check the level. Record the geometric dimension error values ​​of each part in the gauge and level columns of the inspection record book. At the same time, during the turnout inspection process, you should always pay attention to check other diseases that may endanger driving safety, as well as structural diseases such as damage to rails, point rails, frogs, and splints. If there are over-limit or other diseases that endanger driving safety, they should be filled in manually in the repair column of the inspection record book. Although track gauges play an important role in engineering operations, they also have some disadvantages: limited accuracy, low efficiency, and high labor intensity.

[0006] 2. Data Analysis

[0007] After the inspection, the defects are circled manually and the defect notification form is written by hand. This process is complicated and time-consuming, and it is easy for errors to occur during the on-site inspection and recording process. Once there is a problem with the original data, the conclusions drawn from the turnout defect analysis will also be problematic.

[0008] In view of the low accuracy, low efficiency, high labor intensity, complex process, time-consuming and easy errors in on-site inspection and recording processes of current railway track detection methods, it is particularly necessary to propose an intelligent railway track detection method. Summary of the invention

[0009] In view of the problems in the prior art, an embodiment of the present invention provides an intelligent railway track detection system to solve the problems in the prior art of railway track detection such as low accuracy, low efficiency, high labor intensity, complex process, time-consuming, and easy misrecording during on-site inspection and recording.

[0010] Illustratively, the embodiments of the present invention provide the following technical solutions:

[0011] In a first aspect, an embodiment of the present invention provides a railway track intelligent detection system, comprising:

[0012] The measuring device acquires geometric data information and positioning information of the detection point at the same time, and sends the geometric data information and the positioning information to the data acquisition intelligent terminal;

[0013] The data collection intelligent terminal binds the geometric data information and the positioning information based on a pre-stored position information set, analyzes the bound geometric data information and the positioning information, obtains railway track data set, and sends the data to the disease intelligent analysis platform, wherein the position information set is formed based on the position information of one or more detection points pre-collected by the measuring device;

[0014] The intelligent disease analysis platform receives the railway track data set and obtains the disease information of the detection point based on the railway track data set.

[0015] In a possible implementation, binding the geometric data information and the positioning information based on a pre-stored location information set includes:

[0016] Analyzing the positioning information based on the position information of each detection point in the position information set;

[0017] When it is determined based on the analysis result that the positioning information corresponds to the position information of a detection point among the pre-collected detection points, the geometric data information and the positioning information are bound to the detection point.

[0018] In a possible implementation, the analyzing the positioning information based on the position information of each detection point in the position information set includes:

[0019] The positioning information is spatially operated and compared with the position information of each detection point in the position information set to determine that the positioning information corresponds to the position information of a detection point in the position information set.

[0020] In a possible implementation manner, analyzing the bound geometric data information and the positioning information includes:

[0021] In combination with the positioning information bound to the geometric data information, determining the distance relationship between each detection point corresponding to the geometric data information along the length direction of the railway track;

[0022] Based on the distance relationship between each detection point along the length direction of the railway track, the geometric data information is analyzed to form the geometric data information along the length direction of the railway track, and the railway track data set is obtained.

[0023] In a possible implementation, the measuring device includes a measuring module and a positioning module, wherein the measuring module is used to measure geometric data information of the detection point, and the positioning module is used to collect positioning information of the detection point.

[0024] In a possible implementation, the positioning module includes a Beidou high-precision locator. During detection, the Beidou high-precision locator uses Beidou satellites and ground differential stations through a high-precision differential algorithm to achieve high-precision positioning during the detection process.

[0025] In a possible implementation, the measurement module communicates with the data acquisition intelligent terminal using Bluetooth; and the positioning module communicates with the data acquisition intelligent terminal using the Internet of Things.

[0026] In a possible implementation, the measurement module includes a high-precision displacement sensor and / or an inclination sensor.

[0027] In a possible implementation, obtaining the disease information of the detection point based on the railway track data set includes:

[0028] Based on the railway track data set and the preset railway line repair standard, single-point disease information based on a single detection point and multi-point disease information based on multiple detection points are obtained.

[0029] In a possible implementation, the geometric data information includes track gauge and / or level; the positioning information includes longitude and / or latitude information; and the detection point is located on the turnout.

[0030] The railway track intelligent detection system provided by the embodiment of the present invention forms a location information set by pre-collecting the location information of one or more points to be detected, and the location information set is stored in the data acquisition intelligent terminal; during the actual detection, the geometric data information and positioning information of the detection point are obtained by using the measuring device, and the geometric data information and the positioning information are sent to the data acquisition intelligent terminal; the data acquisition intelligent terminal binds and analyzes the geometric data information and the positioning information based on the stored location information set; the data information set obtained after the binding and analysis is transmitted to the disease intelligent analysis platform, and the disease intelligent analysis platform automatically obtains the disease information of the detection point based on the data information set. Among them, the measuring device of this embodiment can automatically locate the current longitude and latitude position information and collect track geometry data, and automatically bind and analyze the positioning information and the track geometry data through the data acquisition intelligent terminal, and transmit it to the disease intelligent analysis platform for disease analysis, so as to realize automatic recording and analysis of data, and the processing process is simple, and it can guide the engineering work efficiently and accurately, and no manual operation is required, which reduces labor intensity and saves labor costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0032] Figure 1 A block diagram of a railway track intelligent detection system provided by an embodiment of the present invention;

[0033] Figure 2 A timing diagram of railway track intelligent detection provided by an embodiment of the present invention;

[0034] Figure 3 for Figure 1 A block diagram of a measuring device in a railway track intelligent detection system provided in an embodiment;

[0035] Figure 4 A schematic diagram of a method for calculating triangular pits in a railway track intelligent detection process provided by an embodiment of the present invention;

[0036] Figure 5 Another schematic diagram of a method for calculating triangular pits in a railway track intelligent detection process provided by an embodiment of the present invention; and

[0037] Figure 6 The present invention provides a flow chart of a railway track intelligent detection method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] The inventors found that the existing railway track detection method is as follows:

[0040] 1. Data Measurement

[0041] Use a track ruler to check step by step at the specified turnout and line positions, first check the gauge and then check the level. Record the geometric dimension error values ​​of each part in the gauge and level columns of the inspection record book. At the same time, during the turnout inspection process, you should always pay attention to check other diseases that may endanger driving safety, as well as structural diseases such as damage to rails, point rails, frogs, and splints. If there are over-limit or other diseases that endanger driving safety, they should be filled in manually in the repair column of the inspection record book.

[0042] Although the track ruler plays an important role in engineering operations, it also has some disadvantages: ① Limited accuracy: The accuracy of the traditional turntable track ruler is affected and restricted by factors such as structure, usage conditions and the technical level of the user. At the same time, the placement of the track ruler varies from person to person, which affects the data. ② Low efficiency: This is especially obvious during long-term measurements. ③ High labor intensity: Operators need to bend over to adjust the turntable, align the level bubble to zero, and other operations, especially in harsh environments such as severe cold and heat. Long-term work can easily lead to physical discomfort and fatigue accumulation.

[0043] 2. Data Analysis

[0044] After the inspection, the defects are circled manually and the defect notification form is written by hand. This process is complicated and time-consuming, and it is easy for errors to occur during the on-site inspection and recording process. Once there is a problem with the original data, the conclusions drawn from the turnout defect analysis will also be problematic.

[0045] Traditional static inspections of engineering works mainly rely on manual records, which have problems such as incomplete inspection coverage, low inspection accuracy, and incomplete inspection data records.

[0046] In order to solve the problems of low railway track detection accuracy, low efficiency, high labor intensity, complex process, time-consuming, and easy misrecording during on-site inspection and recording, the present invention uses the positioning technology and data acquisition technology of the measuring device to record the inspection trajectory and location information in real time, and obtain the geometric data information of the inspection points on the track, so as to ensure the comprehensive coverage of the inspection work, avoid the occurrence of missed inspections, and improve the detection accuracy. In addition, the present invention uses the data acquisition intelligent terminal to bind and analyze the above-mentioned positioning information and the collected geometric data information, and analyzes and compares them through the disease intelligent analysis platform, automatically generates a database and a disease notification form, improves the detection efficiency, reduces labor intensity, simplifies the process, and saves time.

[0047] First, refer to Figure 1 , which shows a schematic diagram of the structure of the railway track intelligent detection system provided by the first embodiment of the present invention. Figure 1 As shown, the railway track intelligent detection system 100 provided by the first embodiment of the present invention includes: a measuring device 110, a data acquisition intelligent terminal 120 and a disease intelligent analysis platform 130.

[0048] Among them, Figure 2 As shown, the measuring device 110 obtains the geometric data information and the positioning information of the detection point at the same time, and sends the geometric data information and the positioning information to the data acquisition intelligent terminal 120.

[0049] Here, the measuring device 110 of the present invention integrates a measuring module 111 and a positioning module 112, such as Figure 3 As shown, the locator is integrated into the measuring device 110 for measuring the track geometry data, so that the high-precision positioning information of the track detection point can be collected in real time while measuring the track geometry data. Among them, high precision means that the positioning accuracy can be limited to the error range of the preset accuracy threshold, such as the error range of 2-3 cm. The centimeter-level positioning achieved by the positioning module 112 through Beidou and the ground differential station can limit the positioning accuracy to the error range of 2-3 cm, so that the precise location of the on-site disease can be better and more accurately located.

[0050] The data collection intelligent terminal 120 binds and analyzes the geometric data information and the positioning information.

[0051] Among them, in the present invention, the location information of one or more detection points is collected in advance before the actual measurement or detection, and a location information set is formed in the data collection intelligent terminal 120. After receiving the geometric data information and positioning information sent by the measuring device, the data collection intelligent terminal 120 binds the geometric data information and the positioning information based on the location information set.

[0052] Here, the present invention collects the position information of one or more detection points in advance, and then when the geometric data information and the positioning information are subsequently bound, based on the pre-collected position information, the geometric data information and the positioning information can be bound, which is convenient for subsequent data analysis. After binding, the bound geometric data information and the positioning information are analyzed, and the data is first bound and then analyzed after binding, so that the geometric data information can be analyzed in combination with the positioning information, that is, further geometric data information along the length direction of the railway track can be obtained, and the further geometric data information is different from the geometric data information obtained by the above-mentioned measuring device 110.

[0053] The intelligent disease analysis platform 130 receives the railway track data set and obtains the disease information of the detection point based on the railway track data set.

[0054] In this embodiment, the intelligent defect processing platform 130 analyzes and compares the data sent back by the data acquisition intelligent terminal 120 with the allowable deviation values ​​of various data parameters in the specific railway line repair standard, and generates compared information, which is the defect information.

[0055] This embodiment uses the positioning technology and data acquisition technology of the measuring device to record the inspection trajectory and position information in real time, and obtain the geometric data information of the inspection points on the track, so as to ensure the comprehensive coverage of the inspection work, avoid the occurrence of missed inspections, and improve the detection accuracy. In addition, the present invention uses the data acquisition intelligent terminal to bind and analyze the above-mentioned positioning information and the collected geometric data information, and analyzes and compares them through the disease intelligent analysis platform, automatically generates a database and a disease notification form, improves the detection efficiency, reduces the labor intensity, simplifies the process, and saves time.

[0056] For example, the following is another embodiment of the present application, wherein the railway track intelligent detection system includes: a measuring device, a data acquisition intelligent terminal and a disease intelligent analysis platform. The description of the measuring device, the data acquisition intelligent terminal and the disease intelligent analysis platform can be found in Figure 1-Figure 3 The description of the embodiments will not be repeated here.

[0057] The measuring device includes a measuring module and a positioning module, such as Figure 3 The measurement module is used to measure the geometric data information of the detection point, and the positioning module is used to collect the positioning information of the detection point.

[0058] In one example, the measurement module includes a high-precision displacement sensor and / or an inclination sensor.

[0059] In one example, the positioning module includes a Beidou high-precision locator. During detection, the Beidou high-precision locator uses Beidou satellites and ground differential stations through a high-precision differential algorithm to achieve high-precision positioning during the detection process.

[0060] In one example, the measurement module communicates with the data collection intelligent terminal using Bluetooth; the positioning module communicates with the data collection intelligent terminal using the Internet of Things.

[0061] In one example, the geometric data information includes track gauge and / or level; the positioning information includes longitude and / or latitude information.

[0062] In one example, the measuring device is a high-precision intelligent track ruler. The high-precision intelligent track ruler integrates a measuring module, such as a high-precision displacement sensor, an inclination sensor, and a positioning module, such as a Beidou high-precision locator. The high-precision intelligent track ruler of the present invention can collect high-precision positioning information of the track ruler in real time while measuring the track geometry data, and transmit it to the data acquisition intelligent terminal in real time for position and measurement data analysis and binding processing. Among them, the data acquisition intelligent terminal can be a handheld terminal, which is convenient for relevant personnel to use.

[0063] In one example, a suitable high-precision intelligent ruler is selected based on on-site geometric dimension inspection and accuracy requirements. The measurement module of the high-precision intelligent ruler uses Bluetooth communication technology to establish a communication link with a handheld terminal, and the positioning module uses Internet of Things technology to establish a communication link with a data acquisition intelligent terminal.

[0064] Take the inspection of a single turnout as an example: At the turnout ruler measuring point, collect high-precision measuring points in advance. Then when the intelligent ruler reaches the measuring point, the terminal automatically prompts that it has arrived at the measuring point. After the ruler is placed, click Save, and the data collection intelligent terminal saves the geometric data and automatically prompts that the measurement is completed. Check and measure the turnout measuring points in turn.

[0065] At the turnout track measuring point, the specific method of collecting high-precision measuring points in advance is:

[0066] Optionally, the first step is: the inspector carries a high-precision intelligent ruler to the measuring switch, turns on the positioning module of the high-precision intelligent ruler, and ensures that the satellite signal of the positioning module is normal.

[0067] Step 2: Control the data collection intelligent terminal to open the switch position collection interface. Complete the table header information such as line and station.

[0068] Step 3: Place the track ruler accurately at the correct measuring position and select the corresponding measuring point name in the turnout position collection interface.

[0069] Step 4: Wait for the seventh and eighth decimal places of longitude and latitude to stabilize, then click Collect (the seventh decimal place of longitude and latitude is centimeters, and the eighth decimal place is millimeters).

[0070] Step 5: After completing the collection of all 17 measuring points of the current turnout (front downslope end, tip of point rail, center of point rail, heel of point rail, straight before guide curve, before guide curve, straight in the middle of guide curve, middle of guide curve, straight after guide curve, after guide curve, straight before fork center, curved before fork center, straight in the middle of fork center, curved in the middle of fork center, straight after fork center, curved after fork center), click Save.

[0071] In one example, the detection point is a turnout. Before measuring the turnout, the Beidou satellite and ground differential station are used to achieve the purpose of high-precision positioning of each group of turnout measurements through high-precision differential algorithms. The collected longitude and latitude positioning data are bound to the measurement points of the relevant turnouts. When the measurement starts, the data acquisition intelligent terminal performs spatial calculations and comparisons with the position data of each measurement point of the turnout based on the real-time high-precision positioning data of the positioning module installed in the ruler, and determines which measurement point the ruler is currently measuring. When it reaches the corresponding measurement point, the terminal automatically voice reminds "Please measure XX position", and saves the geometric dimension data measured by the ruler on the ruler. The data is automatically uploaded to the data acquisition intelligent terminal and automatically bound to the measurement point. The measurement data is bound to the high-precision position data in real time, automatically recognized, and actively identified. At the same time, the current measurement turnout number is determined by the comprehensive longitude and latitude information. The measurement data is authentic, reliable and safe, the measurement efficiency is fast and efficient, and the measurement results are complete and unified. It eliminates the need for manual data recording and reduces the burden on front-line operators.

[0072] The use of high-precision intelligent track ruler can accurately prompt the inspection position of on-site inspectors, ensure the accuracy of the inspection position, and improve the safety and reliability of measurement data. At the same time, it can provide the precise location of the disease for later disease treatment, making it easier to find the disease and repair it in a timely and accurate manner.

[0073] This embodiment improves the accuracy of operations through high-precision intelligent road rulers. The high-precision intelligent road rulers have high measurement accuracy and stable performance, which can ensure data accuracy and timely discover and correct unsafe factors in operation inspections. High-precision intelligent road rulers can also improve on-site safety. By recording the operation inspection track with high precision, it can effectively ensure that the operation does not exceed the scope, and at the same time avoid the road ruler being left on site, providing a strong guarantee for operation safety.

[0074] In one example, binding the geometric data information and the positioning information based on the pre-stored location information set includes:

[0075] Analyze the positioning information based on the position information of each detection point in the position information set;

[0076] When it is determined based on the analysis result that the positioning information corresponds to the position information of a detection point among the pre-collected detection points, the geometric data information and the positioning information are bound to the detection point.

[0077] Optionally, based on the position information of each detection point in the position information set, analyzing the positioning information includes:

[0078] The positioning information is spatially calculated and compared with the position information of each detection point in the position information set to determine whether the positioning information corresponds to the position information of a detection point in the position information set. Correspondence can be understood as whether the positioning information is the same as or similar to the position information of a detection point in the position information set. Here, similarity means that the difference between the value of the positioning information obtained by real-time detection and the value in the pre-collected position information set is less than a predetermined value, which can be pre-set. In one example, the predetermined value can be 2-3 cm.

[0079] In this embodiment, analyzing the geometric data information and the positioning information includes:

[0080] Combined with the positioning information, determine the distance relationship between each detection point along the length of the railway track;

[0081] Based on the distance relationship between each detection point along the length direction of the railway track, the geometric data information is analyzed to form further geometric data information along the length direction of the railway track, thereby obtaining a railway track data set.

[0082] In one example, data collection can be divided into geometric data collection and structural data collection. The geometric data is collected by high-precision intelligent road rulers, and the structural data is collected by clicking on data collection intelligent terminals and audio and video input.

[0083] Geometric data collection: The high-precision intelligent track ruler transmits geometric dimension data and high-precision positioning information to the data collection intelligent terminal in real time and synchronously to meet the input requirements of data collection. The data collection intelligent terminal automatically determines the measuring point of the current turnout based on the real-time high-precision positioning data, and binds the geometric data such as gauge and level to the measuring point. It uses the Internet of Things technology to transmit the data to the disease intelligent analysis platform, and automatically analyzes the disease in combination with the design value, railway repair standards and other parameters, which saves manual recording and analysis work, improves inspection efficiency, and reduces the burden on operators.

[0084] Structural data collection: Manage in advance according to the turnout partitions on the data collection intelligent terminal. Enter the structural defects of each area through four methods: taking photos, voice, video recording, and clicking. After entering, the data collection intelligent terminal uses the Internet of Things technology to wirelessly transmit the structural defect data to the defect intelligent analysis platform to achieve the output requirements of data collection. Provide a reasonable and accurate scientific basis for data analysis and subsequent maintenance. The data collection intelligent terminal ensures the continuity and stability of the data collection process, and realizes real-time data collection, display, storage, broadcasting and processing.

[0085] Strengthen the management of collected data. The data collection intelligent terminal can record and store measurement data, providing a basis for the traceability of on-site engineering operations. At the same time, the technical level can be classified and summarized as required, and the measurement progress and disease status can be checked at any time to improve the inspection efficiency and safety management level.

[0086] The intelligent fault analysis platform receives the railway track data set and obtains the fault information of the detection point based on the railway track data set. The intelligent fault processing platform analyzes and compares the data sent back by the data collection intelligent terminal with the allowable deviation values ​​of various data parameters in the specific railway line repair standards, and generates the compared information, which is the fault information.

[0087] In one example, the disease information includes: single-point disease information based on a single detection point, and multi-point disease information based on multiple detection points.

[0088] In one example, the intelligent fault analysis platform collects data sent back by the intelligent terminal, automatically summarizes and generates the corresponding level of faults after comparison based on the preset railway line repair standards, such as the allowable deviation values ​​of various data parameters in the conventional railway line repair rules, and integrates various data such as equipment location, equipment type, equipment parameters, and latitude and longitude of the measurement point. At the same time, the data intelligent processing involved in this process is divided into geometric data processing and structural data processing.

[0089] Geometric data processing:

[0090] For example, for a certain turnout, the basic information database pre-entered by the data collection intelligent terminal and the defect intelligent analysis platform is: turnout model CZ2209, speed grade V≦80km / h, line type to departure line, sleeper type concrete sleeper, point rail gauge widened by 15, and point rail heel straight widened by 4.

[0091] The data of the point rail tip collected by the intelligent track gauge in real time during on-site measurement are 19 gauge and 8 horizontal gauge. The straight gauge of the point rail end is 1 and the horizontal gauge is -2. The platform collects the geometric dimensions of the point rail tip from the high-precision positioning information on site and combines it with the input turnout information, removes the widening value, and automatically records the point rail tip gauge as 4 and the straight gauge of the point rail end as -3. The generated defect library is:

[0092] ① The gauge of the point rail is 4, and the operation is accepted;

[0093] ② The rail tip level is 8, and maintenance is planned;

[0094] ③ The straight track gauge of the point rail and the section is -3, and the operation is accepted;

[0095] ④ The straightness of the heel of the point rail is -2, and the operation is accepted;

[0096] ⑤ The straight triangular pit 10 at the tip and heel of the pointed rail needs to be temporarily repaired.

[0097] From the above examples, we can see that the geometric data of a certain measuring point can be directly bound to the corresponding measuring point through positioning, and then the single-point defect degree can be automatically calculated through the turnout defect standard platform, such as: gauge, level, back protection distance, check interval, guide curve anti-superelevation, these items can be automatically generated by comparing the defect standards. Items that can only be generated by measuring distance, calculating and comparing multiple points in sections, such as triangular pits and gauge change rate.

[0098] Take the triangular pit as an example. Figure 4 and Figure 5 As shown, the disease intelligent analysis platform 230 calculates the length through the longitude and latitude information, checks the base length of 6.25, but the horizontal difference within the extension of 18m, thereby generating the corresponding level of disease.

[0099] Here we take the triangular pit as an example. The definition of the triangular pit is: the triangular pit (also called twist) is a state where the level difference between the left and right rails in a specified length exceeds the specified value. It is manifested as the left rail is higher than the right rail first, then the right rail is higher than the left rail, and vice versa.

[0100] Calculation of triangular pit:

[0101] like Figure 4 , if the length of the left and right rails is L = 12.5, and A is the horizontal difference, the maximum distortion and unevenness state occurs in the range of base length L / 2 = 6.25m.

[0102] The calculation formula for triangular pit is: A-(-A)=2A.

[0103] like Figure 5 , shown are the results of horizontal inspection of two rails on a straight line. Try to calculate the triangular pit value.

[0104] Depend on Figure 5 It can be seen that the horizontal deviation at AA' is -2mm, the horizontal deviation at BB' is +3mm, and the horizontal deviation at CC' is -1mm, then

[0105] The triangular pit value of the AA'-BB' segment = |-2-(+3)| = 5mm

[0106] The triangle pit value of BB'-CC' section = |+3-(-1)| = 4mm

[0107] From the above, we can know the method of calculating triangular pits, and the data intelligent processing platform automatically calculates the length through high-precision position information to obtain the base length, and combines the collected levels to automatically calculate the size of the triangular pit to generate the corresponding level of triangular pit disease.

[0108] Structural data processing:

[0109] The disease intelligent analysis platform can process the returned structural data in two ways: one is to automatically generate a disease library in a standard format based on the data selected; the other is to use the data returned through audio and video, which can be photos, videos or voices. The operator analyzes these photos, videos or voices on the platform, then selects them on the platform, and finally generates a disease library in a standard format. At the same time, the generated various diseases are sent back to the handheld terminal and tablet in real time to facilitate on-site disease inspection.

[0110] This embodiment can analyze the discovered defects at a single point or in sections by automatically calculating the distance based on longitude and latitude through data processing, giving full play to the advantages of high-precision positioning and intelligent management, improving the level and efficiency of intelligent and automated analysis of defects, reducing manual errors, and increasing accuracy and credibility. It further improves the intelligent management level of the railway engineering system and provides strong support for the safety of railway transportation.

[0111] The disease intelligent analysis platform makes full use of cloud computing technology to build a big data platform to

[0112] The system can store, process and analyze data; use machine learning, deep learning and other artificial intelligence technologies to intelligently analyze the collected data, automatically identify the type of disease and compare it with previous diseases; through data analysis and summary, it can be intuitively displayed in the form of graphics, images, etc., so that managers can quickly understand the disease situation, provide remediation plans and optimization suggestions based on the analysis results, and assist managers in formulating scientific and reasonable maintenance plans.

[0113] Operation process

[0114] Take a single turnout as an example:

[0115] Step 1: Use a high-precision intelligent ruler to locate the "Seventeen Ruler" first.

[0116] Step 2: After positioning is completed, use a track ruler to check the geometric dimensions of the turnout.

[0117] Step 3: Structural problems such as spare parts, sleepers, ballast, signs and marks, and appearance are automatically generated by clicking or recording audio and video on the data acquisition intelligent terminal according to the actual situation on site.

[0118] Step 4: After the data is checked, click Finish and upload it to the intelligent defect analysis platform. According to the preset railway line repair standards, such as the conventional railway line repair rules, the over-limit locations are displayed according to the line speed level, and a defect library in a standard format is generated.

[0119] Effect analysis:

[0120] Through the testing and use of single turnout, compound turnout and diamond turnout, all positions can be automatically positioned.

[0121] The single-opening and compound crossing point rails have two positions: the straight point rail and the curved point rail. You need to set a button here on the APP to manually determine the straight and curved stock. Or you can measure the straight and curved points of each turnout one by one through long-term work.

[0122] In compound intersection, there are four movable hearts, but only two can be measured, so after measuring two of the movable hearts, the remaining two movable hearts are automatically skipped.

[0123] When measuring the center positions of the A and B forks of the obtuse-angle frog in a diamond-shaped turnout, the two positions are close to each other, so it is necessary to make sure that the positions are placed correctly during positioning.

[0124] The railway track intelligent detection system provided by the present invention collects the position information of one or more points to be detected in advance to form a position information set, which is stored in a data acquisition intelligent terminal; uses a measuring device to obtain geometric data information and positioning information of the detection point, and sends the geometric data information and the positioning information to the data acquisition intelligent terminal; uses the data acquisition intelligent terminal to bind and analyze the geometric data information and the positioning information based on the stored position information set; transmits the data information set obtained after the binding and analysis to a disease intelligent analysis platform, and the disease intelligent analysis platform automatically obtains the disease information of the detection point based on the data information set.

[0125] The measuring device of the present invention, i.e., the high-precision intelligent track ruler (including a locator, the locator adopts Beidou high-precision positioning technology) can automatically locate the current longitude and latitude position information, and automatically bind and analyze the positioning information with the track geometry data measured and collected by the high-precision intelligent track ruler through the data acquisition intelligent terminal, and the data information set obtained after the binding and analysis is transmitted to the disease intelligent analysis platform for disease analysis. The data acquisition intelligent terminal and the disease intelligent analysis platform of the present invention jointly assist the track ruler to automatically record and analyze data, and can guide the engineering work efficiently and accurately.

[0126] In summary, the advantages of the high-precision intelligent road ruler and the corresponding auxiliary data intelligent processing terminal and platform of the present invention are:

[0127] 1. Improve the accuracy of the measurement position: The high-precision intelligent ruler can accurately locate the inspection position, provide accurate prompts to on-site inspectors, ensure the accuracy of the inspection position, and improve the safety and reliability of the measurement data. At the same time, it can provide the precise location of the disease for the later disease treatment, facilitate the search for the disease, and timely and accurate repair.

[0128] 2. Improve the accuracy and safety of operations: The high-precision intelligent ruler has high measurement accuracy and stable performance, which can ensure data accuracy, timely discover and correct factors in operation inspection, and improve operation accuracy. The high-precision intelligent ruler records the operation inspection track to effectively avoid operations beyond the scope and rulers left on site, improving operation safety.

[0129] 3. Strengthen measurement data management: The data acquisition intelligent terminal 220 can record and store measurement data, providing a basis for the traceability of on-site engineering operations. At the same time, the technical end can check the measurement progress and disease status at any time to improve inspection efficiency and safety management level.

[0130] 4. Promote intelligent management: With the application of the data intelligent processing platform developed based on Beidou technology, functions such as intelligent analysis and disease detection can be realized, further improving the intelligent management level of the railway engineering system and providing strong support for the safety of railway transportation.

[0131] The present invention also provides a railway track intelligent detection method for detecting geometric data and defects of railway tracks, comprising:

[0132] Based on a pre-stored position information set, the geometric data information and the positioning information acquired by the measuring device are bound together; wherein the position information set is formed based on the position information of one or more detection points collected in advance;

[0133] The bound geometric data information and the positioning information are analyzed to obtain a railway track data set which is sent to a disease intelligent analysis platform, so that the disease intelligent analysis platform obtains the disease information of the detection point based on the railway track data set.

[0134] The present invention also provides a railway track intelligent detection method for detecting geometric data and defects of railway tracks, comprising:

[0135] Pre-collecting the location information of one or more points to be detected to form a location information set;

[0136] Using a measuring device to obtain geometric data information and positioning information of the detection point, and sending the geometric data information and the positioning information to a data acquisition intelligent terminal;

[0137] Using the data acquisition intelligent terminal to bind and analyze the geometric data information and the positioning information based on the location information set;

[0138] The data information set obtained after the binding and analysis is transmitted to the disease intelligent analysis platform, and the disease intelligent analysis platform automatically obtains the disease information of the detection point based on the data information set.

[0139] The present invention also provides a railway track intelligent detection device for detecting geometric data and defects of railway tracks. The system may include:

[0140] A binding module, based on a pre-stored position information set, binds the geometric data information and the positioning information acquired by the measuring device; wherein the position information set is formed based on the position information of one or more detection points collected in advance;

[0141] The analysis module analyzes the bound geometric data information and the positioning information to obtain a railway track data set and sends it to the disease intelligent analysis platform, so that the disease intelligent analysis platform can obtain the disease information of the detection point based on the railway track data set.

[0142] The present invention also provides an electronic device, which may include: a processor, a communications interface, a memory, and a communication bus, wherein the processor, the communications interface, and the memory communicate with each other via the communication bus. The processor may call logic instructions in the memory to execute the above-mentioned railway track intelligent detection method.

[0143] It can be understood that the detailed functions and extended functions that can be executed by the computer program can refer to the description of the above embodiments.

[0144] Based on the same inventive concept, another embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, all the steps of the above detection method are implemented.

[0145] It can be understood that the detailed functions and extended functions that can be executed by the computer program can refer to the description of the above embodiments.

[0146] Based on the same inventive concept, another embodiment of the present invention provides a computer program product, wherein the computer program product includes a computer program, and when the computer program is executed by a processor, all the steps of the above-mentioned detection method are implemented.

[0147] It can be understood that the detailed functions and extended functions that can be executed by the computer program can refer to the description of the above embodiments.

[0148] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0149] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the embodiments of the present invention. Those of ordinary skill in the art may understand and implement them without creative effort.

[0150] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the security defense method described in each embodiment or some parts of the embodiment.

[0151] In addition, in the present invention, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0152] In addition, in the present invention, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0153] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A railway track intelligent detection system, characterized in that: include: The measuring device acquires geometric data information and positioning information of the detection point at the same time, and sends the geometric data information and the positioning information to the data acquisition intelligent terminal; The data collection intelligent terminal binds the geometric data information and the positioning information based on a pre-stored position information set, analyzes the bound geometric data information and the positioning information, obtains railway track data set, and sends the data to the disease intelligent analysis platform, wherein the position information set is formed based on the position information of one or more detection points pre-collected by the measuring device; The intelligent disease analysis platform receives the railway track data set and obtains the disease information of the detection point based on the railway track data set.

2. The railway track intelligent detection system according to claim 1, characterized in that: Binding the geometric data information and the positioning information based on the pre-stored location information set includes: Analyzing the positioning information based on the position information of each detection point in the position information set; When it is determined based on the analysis result that the positioning information corresponds to the position information of a detection point among the pre-collected detection points, the geometric data information and the positioning information are bound to the detection point.

3. The railway track intelligent detection system according to claim 2, characterized in that: The analyzing the positioning information based on the position information of each detection point in the position information set includes: The positioning information is spatially operated and compared with the position information of each detection point in the position information set to determine that the positioning information corresponds to the position information of a detection point in the position information set.

4. The railway track intelligent detection system according to any one of claims 1 to 3, characterized in that: Analyzing the bound geometric data information and the positioning information includes: In combination with the positioning information bound to the geometric data information, determining the distance relationship between each detection point corresponding to the geometric data information along the length direction of the railway track; Based on the distance relationship between each detection point along the length direction of the railway track, the geometric data information is analyzed to form the geometric data information along the length direction of the railway track, and the railway track data set is obtained.

5. The railway track intelligent detection system according to any one of claims 1 to 3, characterized in that: The measuring device comprises a measuring module and a positioning module, wherein the measuring module is used to measure geometric data information of the detection point, and the positioning module is used to collect positioning information of the detection point.

6. The railway track intelligent detection system according to claim 5, characterized in that: The positioning module includes a Beidou high-precision locator. During detection, the Beidou high-precision locator uses Beidou satellites and ground differential stations through a high-precision differential algorithm to achieve high-precision positioning during the detection process.

7. The railway track intelligent detection system according to claim 5, characterized in that: The measuring module communicates with the data acquisition intelligent terminal by using Bluetooth; the positioning module communicates with the data acquisition intelligent terminal by using the Internet of Things.

8. The railway track intelligent detection system according to claim 5, characterized in that: The measuring module includes a high-precision displacement sensor and / or an inclination sensor.

9. The railway track intelligent detection system according to any one of claims 1 to 3, characterized in that: The obtaining the disease information of the detection point based on the railway track data set includes: Based on the railway track data set and the preset railway line repair standard, single-point disease information based on a single detection point and multi-point disease information based on multiple detection points are obtained.

10. The railway track intelligent detection system according to any one of claims 1 to 3, characterized in that: The geometric data information includes track gauge and / or level; the positioning information includes longitude and / or latitude information; and the detection point is located on the turnout.

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