Rail expansion runway risk judgment equipment, method and device, medium and product

Abstract

The invention relates to the technical field of rail expansion runway risk judgment, in particular to rail expansion runway risk judgment equipment, method and device, a medium and a product, the equipment comprises a temperature sensing unit, a rail geometric measurement unit and a data processing unit, and the temperature sensing unit and the rail geometric measurement unit are connected with the data processing unit; the temperature sensing unit is used for measuring the temperature of the left and right steel rails and the environment temperature; the track geometric measurement unit is used for measuring geometric parameters of the track; the data processing unit is used for judging the expansion track risk of the track based on the geometric parameters of the track, the temperatures of the left and right steel rails and the environment temperature; according to the invention, comprehensive measurement of track temperature and geometric parameters is realized, a more accurate data basis is provided for the risk judgment of the expanded track, the detection efficiency is improved, the dependence on manual observation is reduced, the risk of the expanded track can be judged more comprehensively and accurately, and the safety of railway transportation is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of track expansion runway risk judgment, and in particular to a track expansion runway risk judgment device, method, apparatus, medium and product. Background Art

[0002] In recent years, my country's railway transportation industry has developed rapidly. Railways are an important infrastructure in my country, especially heavy-duty railways, which have become the arteries of the national economy, improving the transportation efficiency of goods and supporting the development of the national economy. Problems such as expansion rails and runways on seamless lines will pose a great threat to railway transportation safety. Due to the strong thermal expansion and contraction effects and train loads, expansion rail and runway accidents are likely to occur. There is a technical problem in this field that expansion rails and runways are difficult to warn. Summary of the invention

[0003] The present invention provides a device, method, apparatus, medium and product for judging the risk of an expansion track, which solves the technical problem that an expansion track is difficult to warn.

[0004] In a first aspect, the present invention provides a track expansion runway warning device, the device comprising: a temperature sensing unit, a track geometry measurement unit, and a data processing unit, wherein the temperature sensing unit and the track geometry measurement unit are respectively connected to the data processing unit; the temperature sensing unit is used to measure the temperature of the left and right rails and the ambient temperature; the track geometry measurement unit is used to measure the geometric parameters of the track; the data processing unit determines the track expansion runway risk based on the geometric parameters of the track and the temperature of the left and right rails and the ambient temperature.

[0005] In some embodiments, the device further includes: an encoder synchronization unit connected to the data processing unit, for acquiring mileage data of the track.

[0006] In some embodiments, the temperature sensing unit includes a left rail temperature sensor, a right rail temperature sensor, and an environment temperature sensor, which are used to obtain the temperatures of the left rail, the right rail, and the environment, respectively.

[0007] In a second aspect, the present invention provides a track expansion runway warning method based on any of the track expansion runway warning devices of the above aspects, the method comprising: obtaining the rail temperature, ambient temperature, and geometric parameters of the track; calculating the temperature stress of the track based on the locked rail temperature and the measured rail temperature, and calculating the difference between the rail temperature and the ambient temperature; calculating a high-temperature track expansion risk index when the temperature stress is greater than a stress threshold or the difference between the rail temperature and the ambient temperature is greater than a set threshold; judging whether the geometric parameters of the current track are greater than a track geometric track expansion threshold based on the geometric parameters of the track; calculating a geometric track expansion risk index when the geometric parameters of the current track are greater than the track geometric track expansion threshold; performing fuzzy reasoning based on the high-temperature track expansion risk index and the geometric track expansion risk index to obtain the track expansion risk of the current track.

[0008] In some embodiments, the step of performing fuzzy reasoning based on the high-temperature track expansion risk index and the geometric track expansion risk index to obtain the track expansion risk of the current track includes: fuzzifying the high-temperature track expansion risk index to obtain a temperature membership distribution; fuzzifying the geometric track expansion risk index to obtain a geometric membership distribution; and obtaining the track expansion risk of the current track based on the temperature membership distribution, the geometric membership distribution and preset fuzzy rules.

[0009] In some embodiments, the geometric parameters of the track include the track direction and the height of the track.

[0010] In some embodiments, after obtaining the track expansion risk of the current track and / or performing a runway risk warning, the track expansion risk of the current track and / or performing a runway risk warning is output in combination with the mileage data of the track.

[0011] In a third aspect, the present invention provides a track expansion runway warning device, the device comprising: a measurement module, for obtaining the track temperature, the ambient temperature, and the geometric parameters of the track; a risk assessment module, for calculating the temperature stress of the track based on the locked rail temperature and the track temperature, and at the same time calculating the difference between the rail temperature and the ambient temperature; when the temperature stress is greater than the stress threshold or the difference between the rail temperature and the ambient temperature is greater than the set threshold, calculating the high-temperature track expansion risk index; judging whether the geometric parameters of the current track are greater than the track geometric track expansion threshold based on the geometric parameters of the track; calculating the geometric track expansion risk index when the geometric parameters of the current track are greater than the track geometric track expansion threshold; performing fuzzy reasoning based on the high-temperature track expansion risk index and the geometric track expansion risk index to obtain the track expansion risk of the current track.

[0012] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the expansion track runway warning methods described above.

[0013] In a fifth aspect, the present invention provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of any of the expansion track runway warning methods described above.

[0014] The present invention provides a device, method, apparatus, medium and product for judging the risk of expansion track, wherein the device comprises: a temperature sensing unit, a track geometry measurement unit and a data processing unit, wherein the temperature sensing unit and the track geometry measurement unit are respectively connected to the data processing unit; the temperature sensing unit is used to measure the temperature of the rail and the ambient temperature; the track geometry measurement unit is used to measure the geometric parameters of the track; the data processing unit judges the risk of expansion track of the track based on the temperature and geometric parameters of the rail; the comprehensive measurement of the track temperature and geometric parameters is realized, a more accurate data basis is provided for judging the risk of expansion track, the detection efficiency is improved, the dependence on manual observation is reduced, the risk of expansion track can be judged more comprehensively and accurately, and the safety of railway transportation is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention will be described in more detail below based on embodiments and with reference to the accompanying drawings:

[0016] Figure 1 It is a structural schematic diagram of a track expansion runway risk judgment device provided in an embodiment of the present application;

[0017] Figure 2 It is a flow chart of a method for determining the risk of track expansion provided by an embodiment of the present application;

[0018] Figure 3 It is a structural schematic diagram of a device for determining the risk of track expansion provided by an embodiment of the present application;

[0019] Figure 4 It is a flow chart of a method for determining the risk of track expansion provided by an application example of the present application;

[0020] Figure 5 This is a schematic diagram of the risk of rail expansion provided by the application example of this application;

[0021] Figure 6 This is a track diagram collected by three trains passing through a certain section, provided by an application example of the present application;

[0022] Figure 7 It is a schematic diagram of line overtemperature section analysis based on a long-term rail temperature database provided by an application example of the present application;

[0023] Figure 8 It is a schematic diagram of a locked rail temperature calculation process provided by an application example of this application.

[0024] In the drawings, the same reference numerals are used for the same components, and the drawings are not drawn to scale. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the scheme of the present invention, and to fully understand and implement how the present invention applies technical means to solve technical problems and achieve the corresponding technical effects, the technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only an embodiment of a part of the present invention, not all of the embodiments. The embodiments of the present invention and the various features in the embodiments can be combined with each other without conflict, and the technical schemes formed are all within the scope of protection of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work should fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0028] In recent years, my country's railway transportation industry has developed rapidly. Railways are an important infrastructure in my country, especially heavy-duty railways, which have become the arteries of the national economy, improving the transportation efficiency of goods and supporting the development of the national economy. Problems such as expansion rails and runways on seamless lines will pose a great threat to railway transportation safety. Due to the strong thermal expansion and contraction effects and train loads, expansion rail and runway accidents are likely to occur. There is a technical problem in this field that expansion rails and runways are difficult to warn.

[0029] Hereinafter, the technical solution of the present application will be described in conjunction with specific embodiments.

[0030] Embodiment 1

[0031] Figure 1 is a schematic diagram of the structure of a track expansion runway risk judgment device provided in an embodiment of the present application, such as Figure 1As shown, in the technical solution of this embodiment, a track expansion runway warning device is provided, and the device includes: a temperature sensing unit, a track geometry measurement unit, and a data processing unit, wherein the temperature sensing unit and the track geometry measurement unit are respectively connected to the data processing unit; the temperature sensing unit is used to measure the temperature of the left and right rails and the ambient temperature; the track geometry measurement unit is used to measure the geometric parameters of the track; the data processing unit judges the track expansion runway risk based on the geometric parameters of the track and the temperature of the left and right rails and the ambient temperature.

[0032] In the related art, the prediction of rail expansion based on manual work is heavily dependent on manual observation, and it is impossible to form a complete rail temperature observation interval, and it is difficult to achieve full coverage of rail temperature detection. In addition, manual investigation takes a long time, is costly, and has low efficiency. The existing contact-type rail expansion prediction device has low accuracy, is difficult to cover the entire line, is costly, and has low detection efficiency. In the technical solution of this embodiment, a temperature sensing unit is set to measure the temperature of the track, and a track geometry measurement unit measures the geometric parameters of the track. The data processing unit judges the track (left and right rails) based on the temperature and geometric parameters of the track. The temperature sensing unit adopts a non-contact sensor, which can realize the temperature detection of the entire line, avoids the dependence of the contact sensor on the distribution density, and improves the detection efficiency. The track geometry measurement unit can obtain the geometric parameters of the track, and combined with the temperature information, provide more comprehensive data support for the judgment of the risk of the track expansion runway. As a result, the comprehensive measurement of the track temperature (the temperature of the left and right rails) and the geometric parameters is realized, providing a more accurate data basis for the judgment of the risk of the track expansion runway. The use of a non-contact temperature sensing unit reduces the cost of temperature detection of the entire line and improves the detection efficiency. Compared with the existing technology, it reduces the dependence on manual observation, can judge the risk of track expansion more comprehensively and accurately, and improves the safety of railway transportation.

[0033] Embodiment 2

[0034] On the basis of the above embodiment, the device further includes: an encoder synchronization unit connected to the data processing unit, for acquiring mileage data of the track.

[0035] There is also a technical problem in this field that there is a lack of accurate track mileage data, making it difficult to accurately locate the track expansion situation along the entire line. In the technical solution of this embodiment, an encoder synchronization unit is added on the basis of Embodiment 1, which is connected to the data processing unit to obtain the mileage data of the track. The Beidou navigation module and the encoder module in the encoder synchronization unit can accurately obtain the mileage information of the track, and combine the data of the temperature sensing unit and the track geometry measurement unit to achieve accurate positioning of the track expansion situation along the entire line. By obtaining accurate mileage data, the problem location can be quickly located when there is a risk of track expansion, thereby improving the efficiency of maintenance and processing. The practicality and accuracy of the track expansion runway warning equipment are further improved, providing a more reliable guarantee for railway transportation safety.

[0036] Embodiment 3

[0037] On the basis of the above embodiment, the temperature sensing unit includes a left rail temperature sensor, a right rail temperature sensor and an ambient temperature sensor, which are used to obtain the temperature of the left rail, the right rail and the ambient temperature respectively.

[0038] The measurement of track temperature in the related art is not comprehensive enough and cannot accurately reflect the temperature conditions at different positions of the track, which affects the accuracy of the risk judgment of track expansion. In the technical solution of this embodiment, the temperature sensing unit includes a left track temperature sensor, a right track temperature sensor and an ambient temperature sensor, which are used to obtain the temperature of the first track (left track) and the temperature of the second track (right track), respectively. By setting two temperature sensors, the temperature at different positions of the track can be measured more comprehensively, and the accuracy of the temperature data can be improved. Combined with the data of the track geometry measurement unit, a more reliable basis is provided for the risk judgment of track expansion. The simultaneous measurement of the temperature at different positions of the track is realized, which can more accurately reflect the temperature conditions of the track. Combined with the track geometry parameters, the accuracy of the risk judgment of track expansion is improved, which helps to timely discover potential track expansion risks, take corresponding preventive measures, and ensure the safety of railway transportation.

[0039] Embodiment 4

[0040] Figure 2 is a flow chart of a method for determining the risk of track expansion provided by an embodiment of the present application, such as Figure 2As shown, in the technical solution of this embodiment, a track expansion runway warning method based on the track expansion runway warning device of any one of the above embodiments is provided, and the method includes: obtaining the rail temperature, ambient temperature, and geometric parameters of the track; calculating the temperature stress of the track based on the locked rail temperature and the measured rail temperature, and calculating the difference between the rail temperature and the ambient temperature; when the temperature stress is greater than the stress threshold or the difference between the rail temperature and the ambient temperature is greater than the set threshold, calculating the high-temperature track expansion risk index; judging whether the geometric parameters of the current track are greater than the track geometric track expansion threshold based on the geometric parameters of the track; calculating the geometric track expansion risk index when the geometric parameters of the current track are greater than the track geometric track expansion threshold; performing fuzzy reasoning based on the high-temperature track expansion risk index and the geometric track expansion risk index to obtain the track expansion risk of the current track.

[0041] The prediction of track expansion in the related art is inaccurate, inefficient, and unable to achieve real-time warning, and it does not fully combine the track geometry parameters and temperature stress for comprehensive judgment. In the technical solution of this embodiment, the track temperature, ambient temperature, and track geometry parameters are first obtained. The temperature stress of the track is calculated based on the locked rail temperature and the track temperature. When the temperature stress is greater than the stress threshold or the difference between the rail temperature and the ambient temperature is greater than the set threshold, the high-temperature track expansion risk index is calculated. Based on the geometric parameters of the track, it is determined whether the geometric parameters of the current track are greater than the track geometry track expansion threshold, and the geometric track expansion risk index is calculated when it is greater than the threshold. Finally, fuzzy reasoning is performed based on the high-temperature track expansion risk index and the geometric track expansion risk index to obtain the track expansion risk of the current track. By comprehensively considering the track temperature stress and geometric parameters, a more accurate prediction of track expansion risk is achieved. Using the fuzzy reasoning method, multi-level track expansion risk prediction is performed to improve the accuracy and reliability of the prediction. It can judge the track expansion risk in real time, provide timely warning for railway transportation safety, and improve detection efficiency and railway operation safety.

[0042] Embodiment 5

[0043] Based on the above embodiment, the method further includes: when the geometric parameters of the current track are greater than the track geometry runway threshold, performing a runway risk warning.

[0044] In the technical solution of this embodiment, when the geometric parameters of the current track are greater than the track geometry runway threshold, a runway risk warning is issued. When the track geometry parameters exceed the threshold, a runway risk warning is immediately issued to remind relevant personnel to take emergency measures to prevent the occurrence of track expansion runway accidents. On the basis of Example 4, the track expansion runway warning method is further improved. By issuing runway risk warnings in a timely manner, the pertinence and effectiveness of the warnings are improved, providing a stronger guarantee for railway transportation safety. It enables relevant personnel to take quick action to reduce the possibility of accidents.

[0045] Embodiment 6

[0046] On the basis of the above embodiment, fuzzy reasoning is performed based on the high-temperature expansion risk index and the geometric expansion risk index to obtain the expansion risk of the current track, including: fuzzifying the high-temperature expansion risk index to obtain a temperature membership distribution; fuzzifying the geometric expansion risk index to obtain a geometric membership distribution; and obtaining the expansion risk of the current track based on the temperature membership distribution, the geometric membership distribution and preset fuzzy rules.

[0047] In the technical solution of this embodiment, the high-temperature track expansion risk index is fuzzified to obtain the temperature membership distribution; the geometric track expansion risk index is fuzzified to obtain the geometric membership distribution. Based on the temperature membership distribution, the geometric membership distribution and the preset fuzzy rules, the track expansion risk of the current track is obtained. Through the specific fuzzification process and the preset fuzzy rules, an accurate judgment of the track expansion risk is achieved. The technical solution of this embodiment clarifies the specific process of fuzzy reasoning and improves the accuracy and reliability of the track expansion risk judgment. The track expansion runway warning method is made more scientific and reasonable, providing more effective protection for railway transportation safety. It can better combine the track temperature and geometric parameters to achieve accurate prediction of the track expansion risk.

[0048] Embodiment 7

[0049] Based on the above embodiment, the geometric parameters of the track include the track direction and the height of the track.

[0050] In the technical solution of this embodiment, the geometric parameters of the track include the track direction and the height of the track. By measuring the track direction and height, the geometric state of the track can be more accurately reflected, and the risk of track expansion can be judged in combination with temperature information. The relationship between the geometric changes of the track and the risk of track expansion can be more accurately analyzed, which improves the accuracy and reliability of early warning. It is helpful to timely discover potential risks of track expansion and take corresponding preventive measures.

[0051] Embodiment 8

[0052] On the basis of the above embodiment, after obtaining the track expansion risk of the current track and / or performing a runway risk warning, the track expansion risk of the current track and / or performing a runway risk warning is output in combination with the mileage data of the track.

[0053] In the technical solution of this embodiment, after obtaining the track expansion risk of the current track and / or performing a runway risk warning, the track expansion risk of the current track and / or performing a runway risk warning is output in combination with the mileage data of the track. By combining the mileage data output results, the position of the track expansion risk can be more accurately located, providing more specific guidance for maintenance and treatment. As a result, the output link of the track expansion runway warning method is improved, making the results more intuitive and practical. Outputting track expansion risk and runway risk warnings in combination with mileage data can improve the efficiency of maintenance and treatment, and provide more timely and effective protection for railway transportation safety.

[0054] Embodiment 9

[0055] Figure 3 is a schematic diagram of the structure of a device for determining the risk of track expansion provided by an embodiment of the present application, such as Figure 3 As shown, in the technical solution of this embodiment, a track expansion runway warning device is provided, and the device includes: a measurement module for obtaining track temperature, ambient temperature, and geometric parameters of the track; a risk assessment module for calculating the temperature stress of the track and the difference between the rail temperature and the ambient temperature based on the locked rail temperature and the track temperature; when the temperature stress is greater than the stress threshold or the difference between the rail temperature and the ambient temperature is greater than the threshold, a high-temperature track expansion risk index is calculated; based on the geometric parameters of the track, it is determined whether the geometric parameters of the current track are greater than the track geometric track expansion threshold; when the geometric parameters of the current track are greater than the track geometric track expansion threshold, a geometric track expansion risk index is calculated; fuzzy reasoning is performed based on the high-temperature track expansion risk index and the geometric track expansion risk index to obtain the track expansion risk of the current track. When the geometric parameters of the current track are greater than the track geometric runway threshold, a runway risk alarm is issued.

[0056] The prediction of rail expansion based on manual work in the related art relies heavily on manual observation, and it is impossible to form a complete rail temperature observation interval, and it is difficult to achieve full coverage of rail temperature detection. In addition, manual investigation takes a long time, is costly, and has low efficiency. The existing contact-type rail expansion prediction device has low accuracy, is difficult to cover the entire line, is costly, and has low detection efficiency. In the technical solution of this embodiment, a temperature sensing unit is set to measure the temperature and ambient temperature of the track, and a track geometry measurement unit measures the geometric parameters of the track. The data processing unit judges the track expansion runway risk based on the temperature, ambient temperature, and geometric parameters of the track. The temperature sensing unit adopts a non-contact sensor, which can realize the temperature detection of the entire line, avoids the dependence of the contact sensor on the distribution density, and improves the detection efficiency. The track geometry measurement unit can obtain the geometric parameters of the track, and combined with the temperature information, provide more comprehensive data support for the judgment of the expansion runway risk. As a result, the comprehensive measurement of the track temperature and geometric parameters is realized, providing a more accurate data basis for the judgment of the expansion runway risk. The use of a non-contact temperature sensing unit reduces the cost of temperature detection of the entire line and improves the detection efficiency. Compared with the prior art, the reliance on manual observation is reduced, and the risk of track expansion can be judged more comprehensively and accurately, thereby improving the safety of railway transportation. The other technical features and beneficial effects of this embodiment correspond to those of the above embodiment and will not be described in detail here.

[0057] Embodiment 10

[0058] In the technical solution of this embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the expansion track warning method of any one of the above embodiments are implemented.

[0059] In the technical solution of this embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the steps of any of the expansion track warning methods of the above embodiments.

[0060] On the basis of the above embodiments, this embodiment provides a computer device, including a memory, a processor and a computer program stored in the memory, and the processor executes the computer program to implement the steps of the method described in the above embodiments. In some implementations of this embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and the computer program implements the steps of the method described in the above embodiments when it is executed by the processor. In some implementations of this embodiment, a computer program product is provided, including a computer program, and the computer program implements the steps of the method described in the above embodiments when it is executed by the processor. The processor may include, but is not limited to, for example, one or more processors or microprocessors. Each processor may be an application specific integrated circuit (Application Specific Integrated Circuit, referred to as ASIC), a digital signal processor (Digital Signal Processor, referred to as DSP), a digital signal processing device (Digital Signal Processing Device, referred to as DSPD), a programmable logic device (Programmable Logic Device, referred to as PLD), a field programmable gate array (Field Programmable Gate Array, referred to as FPGA), a controller, a microcontroller, a microprocessor or other electronic components to implement the method in the above embodiments. The computer-readable storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, and the computer-readable storage medium may include, but is not limited to, for example, random access memory (RAM), read-only memory (ROM), flash memory, EPROM memory, EEPROM memory, register, computer storage medium (e.g., hard disk, floppy disk, solid state hard disk, removable disk, CDROM, DVDROM, Blu-ray disc, etc.). The computer-readable storage medium may also store at least one computer executable program / instruction, and the computer executable program / instruction is, for example, a computer-readable instruction. The computer-readable storage medium includes, but is not limited to, for example, volatile memory and / or non-volatile memory. Volatile memory may, for example, include random access memory (RAM) and / or cache memory (cache), etc. The computer-readable storage medium may, for example, include read-only memory (ROM), hard disk, flash memory, etc. For example, a non-temporary computer-readable storage medium may be connected to a computing device such as a computer, and then, when the computing device runs the computer-readable instructions stored on the computer-readable storage medium, the various methods described above may be performed. In addition, the computer device may also include (but not limited to) a data bus, an input / output (I / O) bus, a display, and input / output devices (eg, keyboard, mouse, speaker, etc.), etc.The processor can communicate with external devices via an I / O bus via a wired or wireless network. In one embodiment, the at least one computer executable instruction can also be compiled into or constitute a software product / computer program product, wherein one or more computer executable instructions are executed by the processor to perform the various functions and / or steps of the method in the embodiments described in the present technology.

[0061] Embodiment 11

[0062] Based on the above embodiments, this embodiment provides an application example.

[0063] In recent years, my country's railway transportation industry has developed rapidly. Railways are important infrastructure in my country, especially heavy-duty railways, which have become the arteries of the national economy, improving the transportation efficiency of goods and supporting the development of the national economy. Problems such as expansion rails and runways on seamless lines will pose a great threat to railway transportation safety. Due to the strong thermal expansion and contraction effect and train load, expansion rail and runway accidents are likely to occur.

[0064] At present, in order to ensure driving safety and prevent track expansion, the Railway Maintenance Rules have made specific provisions for rail temperature, ballast length, track start height, etc. during operations on seamless lines. The existing technical solutions for track expansion basically adopt the concept of prevention and control to reduce the risk of track expansion. Strict regulations on rail and roadbed operations are often used to avoid events that reduce roadbed resistance, thereby preventing the stability of the rails from being reduced to prevent track expansion accidents. When there are signs of track expansion, specialists are sent to monitor the rail temperature and observe changes in the rail temperature and the direction of the line. The maximum temperature stress of the rail is determined by the locked rail temperature and the actual maximum rail temperature. At present, the railway bureaus mainly use the observation pile observation method for the locked rail temperature.

[0065] The existing prediction technology for expansion track runway is not perfect. It mainly focuses on the occurrence mechanism and signs of expansion track runway. Most of them use manual methods to regularly conduct creep measurement and observation of seamless lines, and report the specific mileage when the cumulative creep of observation piles is greater than 10mm. According to the changes in the temperature of the locked rail of the seamless line, stress is released in areas with severe uneven stress to prevent the occurrence of expansion track runway. In hot weather, each work area adopts enhanced observation pile displacement analysis, monitors changes in the line foundation status, establishes a seamless line inspection during high temperature and stops operations when the track temperature exceeds the limit to prevent the occurrence of expansion track. This method conducts manual spot checks on the status of the railway line and then hands it over to technical personnel for data analysis, which takes up a lot of manpower and material resources, and cannot completely eliminate hidden dangers. The labor cost is high and the work efficiency is low.

[0066] Some related technologies disclose a rail expansion alarm device for a railway line, including rails and a detection mechanism. The detection mechanism is installed on the side of the rail, and the detection mechanism is specifically composed of a contact block, a spring, a pressure sensor, a support block and a shell. The side of the rail is fixedly connected to the shell, the inner wall of the shell is fixedly connected to the support block, the side of the support block is installed with a pressure sensor, the side of the pressure sensor is contacted and connected with a spring, one side of the spring is fixedly connected to a contact block, and the side of the contact block is contacted and connected to the rail. By installing springs, pressure sensors, etc. on the side of the rail, it is convenient to detect the expansion of the rail, and when used in conjunction with an alarm light, it is convenient to alarm the position of the expansion rail and to repair the rail.

[0067] In some related technologies, the temperature sensor installed on the rail contacts and collects the rail temperature, and transmits the temperature data to the processor. The processor processes the data transmitted by the sensor according to its own data processing capability and displays it digitally. At the same time, the processor is also connected to the rail displacement observation instrument to receive and display the displacement measurement value, which is used to characterize the internal temperature stress of the rail. On the one hand, it can solve the problem that the traditional method mainly relies on human measurement, requires multiple people to work, and takes a long time, and improves the monitoring efficiency and the effectiveness of monitoring data. In addition, the displacement measurement value measured by the rail temperature and the rail displacement measuring instrument can be obtained at the same time, and displayed. According to the rail temperature displayed on the processor and the displacement measurement value used to characterize the rail displacement, the actual rail locking temperature can be known, and the expansion rail prediction can be carried out accordingly.

[0068] The manual prediction of rail expansion in the existing technology is heavily dependent on manual observation, and it is impossible to form a complete rail temperature observation range. It is difficult to achieve full coverage of rail temperature detection in hot weather. In addition, manual inspection takes a long time and the labor cost is high, making it difficult to achieve rapid and real-time accurate prediction of rail expansion.

[0069] The track expansion prediction device based on pressure sensors only considers the changes of pressure sensors caused by track geometric deformation, and cannot fully reflect the actual situation of track expansion, so the actual detection accuracy is low.

[0070] The contact-type fixed-point rail expansion prediction device based on rail temperature and rail displacement only observes the displacement of local rails, ignoring the continuous changes in the rail shape in the actual expansion track, and has a low prediction accuracy.

[0071] The prior art does not combine the characteristics of the changes in the track geometry parameters of the track when the track expansion occurs, and the prediction accuracy of the track expansion is low.

[0072] The above method can only be installed at a specific location and is difficult to cover the entire line. The cost of detecting the expansion rails of the entire line is high. The cost of detecting the expansion rails of the entire line is high.

[0073] The existing detection efficiency of rail expansion is generally low, because contact sensors are generally used for temperature detection, which leads to dependence on the sensor distribution density. Therefore, the selection of non-contact temperature sensors can effectively improve the detection efficiency of rail expansion risks.

[0074] The existing track expansion prediction does not combine the correlation between the continuous change characteristics of the rail temperature and the track geometric parameters during track expansion. Therefore, the present invention proposes a real-time early warning device for track expansion that integrates the rail temperature and the track geometric parameters.

[0075] like Figure 1 As shown, the present invention is composed of two infrared rail temperature sensors, an ambient temperature sensor, a track geometry parameter measurement unit 2, a data processing unit 3 and an encoder synchronization unit 5, wherein the encoder synchronization unit 5 is composed of a Beidou navigation module and an encoder module. The embedded track geometry measurement unit 2 is used to obtain the real-time track geometry parameters sensitive to rail expansion, the real-time rail temperature data of the line is obtained through the infrared rail temperature sensor, and the accurate mileage information is obtained through the encoder synchronization unit 5.

[0076] By calculating the locked rail temperature and the real-time rail temperature measurement, the actual temperature stress of the rail can be calculated, and the real-time rail temperature and temperature stress data can be obtained to compare the safety threshold of temperature stress; at the same time, by calculating the difference between the ambient temperature and the rail temperature and comparing it with the set temperature difference threshold, the temperature weight for the risk of rail expansion is calculated; the track geometry measurement unit is used to calculate the real-time height and track direction of the track, and at the same time, it is judged whether the track geometry parameters exceed the limit; the track geometry weight of the risk of rail expansion is calculated; the temperature weight and the track geometry weight are combined to calculate their membership, and finally the real-time risk of rail expansion is obtained. The overall algorithm is as follows: Figure 4 shown.

[0077] According to the omen principle of track expansion, the track geometry parameters will change significantly when track expansion occurs, such as 3-5mm continuous broken bends on the track during track expansion. Therefore, the track expansion trend can be analyzed by the track direction or the height of the vector. This algorithm uses a fuzzy reasoning method to calculate the high-temperature track expansion risk index from the collected temperature database, and fuzzify it using the triangle membership function to obtain the membership distribution of (0, 1). The track geometry track expansion risk index obtained by the track geometry analysis data is fuzzified to obtain the membership Gaussian distribution of (0, 1). Fuzzy rules are established according to the track expansion mechanism, and the track expansion risk is used as the output. The domain of temperature stress is [-30℃, 60℃]. According to the database, the track temperature range is locked to [25℃, 35℃]. There are three fuzzy labels of high-temperature track expansion risk index, low, medium and high, and the triangle membership function is used to fuzzify the distribution of (0, 1). The domain of the orbital geometry vector is [0mm, 24mm]. There are three fuzzy labels of the orbital geometry risk index: positive small, positive medium, and positive large. The membership distribution of (0, 1) is obtained by fuzzification using Gaussian distribution.

[0078] The conclusion is obtained using the following fuzzy rules formulated.

[0079] 1.If(temperature is MT)and(quality_of_track is ZX)then(risk is LR)(1)

[0080] 2.If(temperature is MT)and(quality_of_track is ZD)then(risk is HR)(1)

[0081] 3.If(temperature is LT)and(quality_of_track is ZX)then(risk is LR)(1)

[0082] 4.If(temperature is LT)and(quality_of_track is ZZ)then(risk is MR)(1)

[0083] 5.If(temperature is LT)and(quality_of_track is ZD)then(risk is HR)(1)

[0084] 6.If(temperature is HT)and(quality_of_track is ZX)then(risk is LR)(1)

[0085] 7.If(temperature is HT)and(quality_of_track is ZZ)then(risk is MR)(1)

[0086] 8.If(temperature is HT)and(quality_of_track is ZD)then(risk is HR)(1)

[0087] 9.If(temperature is MT)and(quality_of_track is ZZ)then(risk is MR)(1)

[0088] Finally, the actual output (defuzzification) is determined and the final expansion risk prediction result is obtained. The expansion risk diagram is as follows Figure 5 Those skilled in the art will appreciate that the analysis algorithm for track expansion risk based on fuzzy reasoning can achieve similar effects with other nonlinear analysis algorithms, which are also within the protection scope of this application.

[0089] The beneficial effects of the present invention are as follows: using a non-contact rail temperature sensor to predict rail expansion; combining track geometry parameters and rail temperature stress to provide real-time warning of rail expansion; using a fuzzy reasoning method to predict multi-level rail expansion risks; using a non-contact rail temperature sensor, compared with traditional rail expansion detection, the cost of achieving full-line temperature detection is lower, and the detection efficiency is higher than that of traditional methods; achieving real-time warning and risk prediction of rail expansion runways, with higher real-time performance; achieving an organic fusion of track geometry parameters and rail temperature data, better achieving real-time alarm of rail expansion runways, and improving detection accuracy.

[0090] Seamless track is a long rail track made by welding standard length rails, also known as welded long rail track. It is named because the long rails have no rail seams. However, with the disappearance of the rail seams, the welded rails cannot expand and contract freely when the temperature changes, so temperature stress is generated in the rails. When the temperature changes greatly and in high temperature seasons, as the rail temperature rises, huge temperature stress accumulates inside the rails. If the line operation is improper or illegal, coupled with the vibration and shaking of the train operation, the track will be deformed, causing the rails and sleepers to bulge upward or to the side at the weak point of the line, thereby losing stability. This is the rail expansion runway. If the rail expansion runway occurs, the track is prone to break due to uneven force during the train's journey, which may cause the train to derail and seriously affect driving safety. If the rail expansion runway can be predicted and the rail operation can be adjusted in time, significant deformation of the rail can be avoided to ensure the safety of train driving.

[0091] At present, the observation pile method is mainly used in China to measure the actual locked rail temperature to predict the risk of track expansion. The creep displacement of the rail is directly measured by the observation pile for monitoring, or the temperature force of the seamless line and the actual locked rail temperature are measured by the locked rail temperature measuring instrument at a fixed time and point. Both measurement methods require manual operation at the skylight point, and the obtained rail temperature data density is small and the labor is large, which makes it difficult to provide timely, accurate and scientific decision-making basis for railway Hongwu operations.

[0092] Some schemes disclose a system and method for monitoring the locked temperature of railway tracks, and provide a railway track locked temperature monitoring system, including a passive RFID electronic tag with temperature and stress sensors installed on the rails, an RFID reader installed on a locomotive, a wide area network data transmission device, and a background server, wherein the RFID reader is connected to the background server via the wide area network data transmission device.

[0093] The current expansion rail detection equipment mainly considers the temperature stress generated by the rail temperature and the locked rail temperature, while ignoring the ballast resistance and lateral alignment defects. In fact, in addition to the real-time changes in rail temperature, the ballast resistance will also decrease with the maintenance of the track, such as cleaning and tampering, and the ballast maintenance quality of each section cannot be unified. The expansion rail prediction device for fixed points requires separate maintenance of each device, and the applicability and operability are low. It is ignored that the occurrence and development of expansion rail runways have certain rules, and the occurrence of expansion rail runways can be predicted by the changes in the track geometry before the expansion rail runway occurs. The existing methods do not fully analyze the relationship between the detection parameters such as rail temperature, temperature stress, track geometry, etc. and the expansion rail runway results, and have not formed a reasonable analysis system for inferring the expansion rail results from the detection parameters, and most of the predictions for expansion rail runways rely solely on rail temperature.

[0094] The existing track expansion prediction does not combine the correlation between the rail temperature and the track geometric parameter characteristics during track expansion. Therefore, the present invention proposes a risk prediction analysis of track expansion track by integrating the rail temperature and the track geometric parameters.

[0095] The existing prediction of track expansion has ignored the impact of changes in ballast resistance on the risk of rail expansion. In order to effectively cover the prediction of track expansion risk in the entire section, it is necessary to conduct a comprehensive analysis of the track expansion risk based on the track status and operation history. Therefore, it is necessary to establish a risk assessment model based on all-round parameters including real-time track geometry parameters, real-time rail temperature, historical locked rail temperature, and historical ballast resistance.

[0096] Poor track quality and stability are the internal causes of track expansion. In summer, the track temperature is high, which is prone to track expansion. When the track expansion section is long or continuous, it will pose a great threat to driving safety. The development of track expansion is generally accompanied by changes in track geometry, especially significant changes in track direction and height.

[0097] Among the many factors that affect the stability of seamless lines, the initial unevenness of the track direction (also known as the original curvature) is a very important factor. The original curvature of the track gives temperature pressure an opportunity to take advantage. There are two types of original track curvature: one is the hard bend formed during the rolling and slow cooling of the rail; the other is the poor track direction under the action of train power. When the track direction is poor, the track deviation should be measured in time. When there are continuous 3-5mm broken bends in the track direction, it means that the direction of the rail is changing; when the average value of the track deviation reaches 10-12mm, there is a sign of track expansion on the line, and passing vehicles need to be reminded to slow down; when the deviation exceeds 12mm, the line has entered the track expansion stage; when it exceeds 24mm, it has entered the runway stage. The track characteristics of each stage of the track expansion runway are shown in Table 1.

[0098] Table 1 Fault types of seamless rails Main track characteristics

[0099]

[0100] The temperature stress inside the rail is the fundamental reason for the expansion of the seamless track. The generation and calculation formula of temperature stress:

[0101] σ t =E·α·ΔT=E·α·(TT 0 )

[0102] Where: t : internal temperature stress of rail; E: elastic modulus; ɑ: linear expansion coefficient; ΔT: rail temperature change value; T-rail temperature (after change); T 0 ——Rail locking temperature.

[0103] In daily operations, it is generally believed that rail temperature stress is consistent with longitudinal stress. According to the calculation formula of temperature stress, the calculation formula of longitudinal stress inside seamless line rail is as follows:

[0104] σ Z =E·α·(TT S )

[0105] Where: z : longitudinal stress inside the rail; T: rail temperature; T s :Lock rail temperature. (Lock rail temperature T s Refers to the rail temperature of a seamless track under zero stress.)

[0106] Appropriately increasing the locking rail temperature can also reduce the longitudinal stress inside the rail in high temperature seasons.

[0107] Through the analysis of historical data of past track expansion accidents, it is found that when the air temperature exceeds 35℃, the rail temperature exceeds 45℃ or exceeds the locked rail temperature by 25℃, it is easy to cause track expansion, and the rails need to be maintained and inspected in time.

[0108] Therefore, when the temperature is high in summer, timely understanding of the changes in temperature and track temperature can predict the timing and section of track expansion and runway accidents to a certain extent. The present invention intends to collect the track temperature of the line by installing a temperature measuring infrared thermal imaging sensor on the vehicle. According to the collected track temperature, a track temperature distribution map of each section of the track can be drawn. For the sections with higher track temperature in summer, the track direction and height status are monitored, so as to prevent the occurrence of track expansion and runway accidents.

[0109] The occurrence of track expansion is closely related to the changes in the track direction and height of the rail. The track expansion can be predicted based on the historical data change trend of the track direction and height detected within a certain period of time. Assume that within a certain period of time, three train-mounted detection equipment passes through a certain section and collects the track direction value data such as Figure 6 As shown in the figure, A, B, and C are the data measured when three trains passed through a certain track. It can be seen that when Train No. 1 passed, the track direction value of this point reached 10-12mm, and the sign of track expansion began to appear, reminding the railway maintenance personnel to inspect as soon as possible; when Train No. 2 passed, the track direction value exceeded 12mm, and the rail at this point was very likely to have expanded; when Train No. 3 passed, the track direction value exceeded 24mm, and the rail at this point was very likely to have runaway. This solution combines the collected track direction and height data to predict the track expansion and runaway, and prevent the occurrence of track expansion and runaway accidents.

[0110] Due to the different line positions, directions, whether there is shade, etc., the rail temperature variation range of different track sections will vary greatly. The present invention intends to build a rail temperature database based on the track temperature and air temperature collected by all on-board rail temperature detection equipment. By accumulating rail temperature data for a long period of time (several years), the rail temperature variation range of different sections of a certain line in years is analyzed and plotted. Figure 7 The schematic diagram of the rail temperature distribution curve including the highest rail temperature and the lowest rail temperature is shown, wherein the line section where the highest rail temperature exceeds the rail temperature threshold is a potential section with expansion track. Figure 7The highest temperatures in the four track sections a, b, c, and d in the figure all exceed the rail temperature threshold, which means that they are areas with a high risk of track expansion and need to be monitored in the summer in combination with real-time rail temperature and track geometry. The highest rail temperature in other line sections does not exceed the rail temperature threshold all year round, and the risk of track expansion is low, so they can be excluded from the monitoring area for track expansion. In actual operation, the sections a, b, c, and d in the figure can be further combined with whether the line in the section is in a curved section and the changing trend of the track geometry parameters to provide early warning of track expansion.

[0111] For areas prone to track expansion, we can further analyze the correlation between the track temperature and track geometry in this section by combining the characteristics of the line section and the track temperature and track geometry data accumulated in the database for a long time, and then analyze the internal mechanism of rail expansion.

[0112] At present, there is no real-time rail temperature database for the entire section and all time periods established for railway rail temperature at home and abroad. This algorithm builds a rail temperature database according to the needs. The database contains rail temperature data and locked rail temperature data. The rail temperature data includes the existing historical rail temperature data obtained through climate temperature and sampling measurements and the rail temperature data of the entire section obtained by track geometry detection equipment. The locked rail temperature includes the design locked rail temperature during design and construction and the correction of the locked rail temperature based on the rail operation status and construction and maintenance history information, such as Figure 8 shown.

[0113] After analyzing the long-term rail temperature database, pressure sensors will be installed on the rails in the key monitoring sections to detect the rail expansion. The detection mechanism is specifically composed of a contact block, a spring, a pressure sensor, a support block, and a shell. The side of the rail is connected to a support block, and a pressure sensor is installed on the side of the support block. The side of the pressure sensor is connected to a spring, and one side of the spring is fixedly connected to a contact block, and the side of the contact block is connected to the rail. By installing springs, pressure sensors, etc. on the side of the rail, it is convenient to detect the expansion of the rail.

[0114] According to the omen principle of rail expansion, the track geometry parameters will change significantly when rail expansion occurs, such as the continuous 3-5mm broken bends in the direction, and the expansion trend analysis of the track direction or the vertical angle. Rail expansion generally occurs when the air temperature exceeds 35℃ and the rail temperature exceeds 45℃. Therefore, the rail temperature database can be used to screen out the risk periods and sections of rail expansion.

[0115] This algorithm uses the BP neural network method to predict the risk of rail expansion in the future. Taking the four indicators of track height, track direction, rail temperature, and seamless rail fault type as the main factors, the BP neural network is used to predict the risk of rail expansion in the future.

[0116] First, the training data is determined based on the input / output data to enable the network to have prediction capabilities. Then, the test data is determined to test the prediction performance of the network. Finally, the risk of track expansion and runway is predicted based on the trained network. The input data of this algorithm is 5-dimensional. For the key monitoring section, one-dimensional rail pressure is added as the input and output layer. The output is the risk of track expansion and runway. The hidden layer has 9 nodes (which can be adjusted according to the situation). And tansig is selected as the hidden layer transfer function.

[0117] This embodiment uses a risk assessment model that includes real-time track geometry parameters, real-time rail temperature, historical track geometry parameters, historical locked rail temperature, and historical roadbed resistance to predict rail expansion; uses the BP neural algorithm method to predict multi-level rail expansion risks; and proposes a method for analyzing the relationship between track height, track direction, rail temperature, and the timing and section of rail expansion. Using the detection data of rail temperature, a rail temperature history database for different sections and time periods of rails is established; the organic integration of track geometry parameters and rail temperature data is achieved, the prediction basis is more diverse, the prediction accuracy is higher, and the prediction alarm of rail expansion runway is better realized.

[0118] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the above-mentioned module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0119] It should be noted that, in the present invention, the terms "include", "comprises" 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, an element limited by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0120] Although the embodiments disclosed in the present invention are as above, the above contents are only embodiments adopted for facilitating the understanding of the present invention and are not intended to limit the present invention. Any technician in the technical field to which the present invention belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present invention, but the patent protection scope of the present invention shall still be subject to the scope defined in the attached claims.

Claims

1. A track expansion runway warning device, characterized in that: The device comprises: a temperature sensing unit, a track geometry measurement unit, and a data processing unit, wherein the temperature sensing unit and the track geometry measurement unit are respectively connected to the data processing unit; The temperature sensing unit is used to measure the temperature of the left and right rails and the ambient temperature; The track geometry measurement unit is used to measure the geometric parameters of the track; The data processing unit determines the track expansion runway risk of the track based on the geometric parameters of the track and the temperatures of the left and right rails and the ambient temperature.

2. The track expansion runway warning device according to claim 1, characterized in that: The device also includes: an encoder synchronization unit connected to the data processing unit and used to obtain mileage data of the track.

3. The track expansion runway warning device according to claim 1, characterized in that: The temperature sensing unit comprises a left rail temperature sensor, a right rail temperature sensor and an environment temperature sensor, which are used to obtain the temperature of the left rail, the right rail and the environment respectively.

4. A method for early warning of a track expansion runway based on the early warning device for a track expansion runway according to any one of claims 1 to 3, characterized in that: The method comprises: Obtain rail temperature, ambient temperature, and track geometric parameters; Calculating the temperature stress of the rail based on the locked rail temperature and the measured rail temperature, and calculating the difference between the rail temperature and the ambient temperature; When the temperature stress is greater than the stress threshold or the difference between the rail temperature and the ambient temperature is greater than a set threshold, calculating a high temperature rail expansion risk index; Based on the geometric parameters of the orbit, it is determined whether the geometric parameters of the current orbit are greater than the orbit geometric expansion threshold; When the geometric parameters of the current track are greater than the track geometric expansion threshold, the geometric expansion risk index is calculated; Fuzzy reasoning is performed based on the high-temperature rail expansion risk index and the geometric rail expansion risk index to obtain the rail expansion risk of the current track.

5. The expansion runway early warning method according to claim 4, characterized in that: The step of performing fuzzy reasoning based on the high temperature track expansion risk index and the geometric track expansion risk index to obtain the track expansion risk of the current track includes: Fuzzifying the high-temperature rail expansion risk index to obtain a temperature membership distribution; Fuzzifying the geometric expansion risk index to obtain a geometric membership distribution; Based on the temperature membership distribution, geometric membership distribution and preset fuzzy rules, the track expansion risk of the current track is obtained.

6. The expansion runway early warning method according to claim 4, characterized in that: The geometric parameters of the track include the track direction and the height of the track.

7. The method for early warning of expansion track according to any one of claims 4 to 7, characterized in that: After obtaining the track expansion risk of the current track and / or performing a runway risk warning, the track expansion risk of the current track and / or performing a runway risk warning is output in combination with the mileage data of the track.

8. A track expansion runway warning device, characterized in that: The device comprises: The measurement module is used to obtain the track temperature, ambient temperature, and geometric parameters of the track; The risk assessment module is used to calculate the temperature stress of the track based on the locked rail temperature and the track temperature, and simultaneously calculate the difference between the rail temperature and the ambient temperature; when the temperature stress is greater than the stress threshold or the difference between the rail temperature and the ambient temperature is greater than the set threshold, calculate the high-temperature rail expansion risk index; based on the geometric parameters of the track, determine whether the geometric parameters of the current track are greater than the track geometric rail expansion threshold; when the geometric parameters of the current track are greater than the track geometric rail expansion threshold, calculate the geometric rail expansion risk index; perform fuzzy reasoning based on the high-temperature rail expansion risk index and the geometric rail expansion risk index to obtain the rail expansion risk of the current track.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the expansion track runway warning method described in any one of claims 4 to 7 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the expansion track runway warning method described in any one of claims 4 to 7 are implemented.

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