Rail creep online monitoring terminal, system and method

Abstract

The present invention discloses an online monitoring terminal, system and method for rail creeping. The monitoring terminal includes: a camera component, an image processing unit, a signal acquisition unit, a communication unit, a temperature sensor and a light source. The camera component captures an image containing a measurement mark. The image processing unit calculates the position information of the measurement mark based on the image captured by the camera component and sends it to the signal acquisition unit. The light source is used to provide fill light for the image capture of the measurement mark under weak light conditions through the triggering of the signal acquisition unit. The signal acquisition unit simultaneously collects the rail temperature signal measured by the temperature sensor, and sends the rail temperature signal and the position information of the measurement mark to the outside through the communication unit. The present invention can solve the technical problems that the existing line rail status monitoring system adopts contact installation and measurement, which poses great safety hazards to the line and is difficult to maintain.

Description

Technical Field

[0001] The present invention relates to the technical field of rail engineering machinery, and in particular to a terminal device, system and method for online monitoring of rail creep. Background Art

[0002] During line operation, rail creep often occurs due to factors such as changes in ambient temperature, deflection of rails under dynamic loads, and longitudinal forces of train operation. Rail creep can easily damage ancillary equipment such as fasteners, thereby increasing the wear on the side of the rails. It can also cause unevenness such as rail expansion, line distortion, and track direction changes. In severe cases, it may lead to rail breakage accidents. In order to ensure the safety of railway operations, railway maintenance personnel need to regularly measure the amount of rail creep, record local climatic conditions, and perform stress relief maintenance on the rails based on the analysis of measurement data. The existing railway line rail condition monitoring system mainly uses contact installation and measurement for sensors, which has technical problems such as high line safety risks and difficult maintenance.

[0003] In the prior art, there are mainly the following technical solutions related to the present invention:

[0004] Prior art 1 is a Chinese invention application filed by Beijing Huatie Ruitong Technology Co., Ltd. on August 15, 2017, and published on December 8, 2017, with publication number CN107444431A. The invention discloses a seamless line rail condition monitoring system, which includes: on-site dynamic monitoring equipment, data center service platform and application management platform. The system can realize comprehensive monitoring of rail-related technical indicators, can realize all-weather unattended monitoring, can realize the conversion process of converting wireless network into wired network, and then converting wired network into wireless network, thereby improving the efficiency of the entire transmission process; thereby, scientific guidance of seamless maintenance and repair can be provided to ensure the stability of seamless line rails.

[0005] Prior art 2 is a Chinese invention application filed by Beijing Huatie Ruitong Technology Co., Ltd. on March 21, 2018, and published on September 4, 2018, with the publication number CN108482421A. The invention discloses a seamless line rail displacement creep detection system, the system includes a field basic device, a main control operating system and a power supply system, the field basic equipment includes an image acquisition system and a scale ruler, the image acquisition system is used to emit a light mark irradiated on the scale ruler, and is used to collect the displacement image of the light mark on the scale ruler in real time, and send it to the main control operating system; the main control operating system is used to receive the displacement image sent by the image acquisition system in real time, and compare the displacement image with the preset original image, and measure the displacement based on the position change of the light mark, and save it. The present invention realizes an intelligent design that integrates accurate measurement, storage, statistics and management of rail displacement. A single person can quickly and accurately complete the rail displacement detection of multiple lines. The staff does not need to cross the line operation, which eliminates the risk of personnel safety. The data is stored in real time and can be quickly exported for easy management.

[0006] Prior art 3 is the paper "Design of Seamless Rail Crawling Monitoring System Based on ZigBee Technology" published by Fu Qinyi, Peng Yakai and Wang Chao in the 12th issue and 13th volume of the Journal of Railway Science and Engineering in December 2016. The paper discloses a seamless rail crawling monitoring system based on ZigBee technology. Aiming at the shortcomings of low efficiency and high cost of traditional rail displacement monitoring systems, a new seamless rail crawling displacement monitoring system is developed. The system is based on the ZigBee wireless network, with the ZigBee wireless microcontroller CC2530 module as the core. The entire wireless sensor network consists of monitoring nodes, data aggregation nodes and control terminals. The monitoring nodes are distributed along the rails to perform data collection and wireless transmission; the aggregation nodes are used to collect and transmit data; and the control terminal is responsible for processing the data information collected by the monitoring nodes. The system realizes data collection and monitoring of seamless rail temperature and creeping displacement. Through experimental verification, the system runs stably, is simple to operate, and is easy to use.

[0007] Prior art 1 uses laser irradiation on the scale, and then uses a camera to capture the displacement image of the laser mark on the scale in real time. It requires high installation requirements for laser equipment, and the size image of the scale is too small, which affects the actual measurement accuracy after being contaminated. The system does not contain temperature measurement information, and it is difficult to analyze the subsequent rail creeping trend. In addition, the measurement methods of prior arts 1 and 2 both use wireless transmission methods, but traditional wireless communications have technical problems of short distance and small range. However, if all operator networks are used, there are technical problems such as high cost of use, difficult maintenance, and weak signals in tunnels and canyon areas. Prior art 3 adopts a seamless rail creeping monitoring solution based on ZigBee technology, and also adopts contact installation to measure rail creeping. The feasibility of on-site installation is not high. Only ZigBee communication is used, which is not conducive to the installation and expansion of equipment. Summary of the invention

[0008] In view of this, the purpose of the present invention is to provide a rail creep online monitoring terminal, system and method to solve the technical problems that the existing line rail status monitoring system adopts contact installation and measurement, which poses great safety hazards to the line and is difficult to maintain.

[0009] In order to achieve the above-mentioned purpose of the invention, the present invention specifically provides a technical implementation scheme of a rail crawling online monitoring terminal, and the rail crawling online monitoring terminal includes: a camera component, an image processing unit, a signal acquisition unit, a communication unit, a temperature sensor and a light source. The camera component captures an image containing a measurement mark, and the image processing unit calculates the position information of the measurement mark based on the image captured by the camera component and sends it to the signal acquisition unit. The light source is used to provide fill light for the image capture of the measurement mark under weak light conditions through the triggering of the signal acquisition unit. The signal acquisition unit simultaneously collects the rail temperature signal measured by the temperature sensor, and sends the rail temperature signal and the position information of the measurement mark to the outside through the communication unit.

[0010] Furthermore, the temperature sensor measures the waist position of the rail, and the signal acquisition unit collects the rail temperature analog signal, performs A / D conversion on it, and then sends it to the wireless communication network in master-slave mode through the communication unit. The signal acquisition unit calculates the rail temperature data according to the following formula:

[0011]

[0012] in, is the real-time temperature of the rail, It is the digital quantity for A / D sampling of the signal acquisition unit. is the number of data bits sampled by the A / D. is the signal input range of A / D sampling, is the output range of the temperature sensor, is the upper temperature limit of the temperature sensor, It is the lower limit of the temperature of the temperature sensor.

[0013] Furthermore, the image processing unit first performs denoising on the image taken by the camera assembly, then obtains the shape description and center position parameters of the measurement mark, and finally obtains the position information of the measurement mark according to the pixel-millimeter ratio.

[0014] Furthermore, the image processing unit performs threshold segmentation on the denoised image to obtain an image with a value of 0 or 1. , traverse the image All pixels on the horizontal direction satisfy A collection of pixels For each group belonging to Subset of Pixel horizontal coordinate After accumulation, divide by 2 to get its horizontal center coordinates ,exist Location statistics whether there is a satisfying If the pixel set does not exist, this is ignored. If it exists, calculate its vertical center coordinates , and As the center position parameter of the measurement mark.

[0015] Furthermore, the image processing unit performs denoising on the image captured by the camera assembly according to the following formula:

[0016]

[0017] in, is the image after denoising. is the variance of the normal distribution, , They are respectively the row coordinates and column coordinates of the image taken by the camera component.

[0018] The present invention also specifically provides a technical implementation scheme of an online monitoring system for rail creeping, which includes: a monitoring conversion terminal, a big data center, a measurement mark, an access terminal, and one or more monitoring terminals as described above. The measurement mark is fixedly connected to the rail, and the monitoring terminal and the monitoring conversion terminal realize the creeping amount and temperature measurement of the rail and are interconnected through a wireless communication network. The monitoring conversion terminal packages the wireless data within the same network IP and uploads it to the big data center through a mobile communication network. The access terminal obtains data from the big data center.

[0019] Furthermore, the big data center includes a server and a display screen connected to the server, and the server is connected to the monitoring conversion terminal via a mobile communication network. The server is used to implement data management, display, and historical data analysis, and provide data for the access terminal. The display screen is used to display information including real-time collected data, site maps, and site trend charts.

[0020] Furthermore, the monitoring conversion terminal includes a gateway module and a monitoring terminal, and the gateway module is connected to the big data center, and the monitoring terminals inside and outside the monitoring conversion terminal respectively. The gateway module is used for signal conversion between the wireless communication network and the mobile communication network to achieve the interconnection and isolation of the two-layer network. The gateway module regularly sends a heartbeat signal representing the network status and network ID to the big data center. The gateway module adopts a master-slave mode as a central node to receive wireless communication network signals from all monitoring terminals.

[0021] Furthermore, the communication unit in the monitoring terminal can route all wireless communication network nodes through routing settings, realize the interconnection of all monitoring terminals, and can route monitoring data in areas with weak network signals to the central node.

[0022] Furthermore, the access terminal includes system maintenance personnel, engineering personnel and dispatching center. System maintenance personnel perform operations including access rights management, site management and equipment failure maintenance. Engineering personnel perform local stress release and adjustment operations on rails based on the early warning and alarm information monitored by the big data center. The dispatching center issues an alarm notification for abnormal situations, and sends a deceleration or shutdown signal to operating vehicles in the area where the creep volume exceeds the limit, depending on the situation, and coordinates the engineering personnel to perform operations.

[0023] Furthermore, the measurement mark is made of metal, fixed to the waist of the rail, and includes a first marking area, a first non-marking area, a second marking area, and a second non-marking area arranged concentrically from the inside to the outside. The first marking area and the second marking area are colored with a high contrast relative to the first non-marking area and the second non-marking area.

[0024] Furthermore, the monitoring terminal and the monitoring conversion terminal are arranged on the outside of the rail, and the distance from the protruding part of the housing of the monitoring terminal and the monitoring conversion terminal toward the side of the rail to the center line of the track is between 2440mm and 2700mm. The monitoring terminal and the monitoring conversion terminal are installed on the concrete layer through a bracket, and the depth of the bracket buried in the concrete layer is between 500±20mm. The bottom of the housing of the monitoring terminal and the monitoring conversion terminal is installed 300±20mm higher than the surface of the concrete layer. The vertical difference between the top of the housing of the monitoring terminal and the monitoring conversion terminal and the top surface of the rail is ±20mm.

[0025] The present invention also specifically provides a technical implementation scheme of a rail creep online monitoring method, wherein the rail creep online monitoring method comprises a monitoring terminal including a camera component, an image processing unit, a signal acquisition unit, a communication unit, a temperature sensor and a light source. The method comprises the following steps:

[0026] S10) fixing the measurement mark to the rail, and using the camera assembly to capture an image including the measurement mark;

[0027] S20) The image processing unit calculates the position information of the measurement mark according to the image captured by the camera assembly and sends the information to the signal acquisition unit; under weak light conditions, the signal acquisition unit triggers the light source to provide fill light for the image captured by the measurement mark;

[0028] S30) the signal acquisition unit acquires the rail temperature signal measured by the temperature sensor, and sends the rail temperature signal and the position information of the measurement mark to the outside through the communication unit;

[0029] S40) The communication units of the two or more monitoring terminals are interconnected via a wireless communication network to achieve interactive transmission of rail creep and temperature measurement data;

[0030] S50) The gateway module packages the wireless data in the same wireless communication network IP and uploads it to the big data center via the mobile communication network.

[0031] Furthermore, the step S20) includes:

[0032] S21) the image processing unit performs denoising on the image captured by the camera assembly;

[0033] S22) the image processing unit obtains the shape description and center position parameters of the measurement mark according to the denoised image;

[0034] S23) The image processing unit obtains the position information of the measurement mark according to the shape description and the center position parameter of the measurement mark and in combination with the pixel-to-millimeter ratio.

[0035] Furthermore, the step S22) includes:

[0036] S221) The image processing unit performs threshold segmentation on the denoised image to obtain an image with a value of 0 or 1. , traverse the image All pixels on the horizontal direction satisfy A collection of pixels ;

[0037] S222) For each group belonging to Subset of Pixel horizontal coordinate After accumulation, divide by 2 to get its horizontal center coordinates ,exist Location statistics whether there is a satisfying If the pixel set does not exist, this is ignored. ;

[0038] S223) If it exists, calculate its vertical center coordinates , and As the center position parameter of the measurement mark.

[0039] Furthermore, the step S30) includes:

[0040] The temperature sensor measures the waist of the rail. The signal acquisition unit collects the rail temperature analog signal, performs A / D conversion on it, and sends it to the wireless communication network in master-slave mode through the communication unit. The signal acquisition unit calculates the rail temperature data according to the following formula:

[0041]

[0042] in, is the real-time temperature of the rail, It is the digital quantity for A / D sampling of the signal acquisition unit. is the number of data bits sampled by the A / D. is the signal input range of A / D sampling, is the output range of the temperature sensor, is the upper temperature limit of the temperature sensor, It is the lower limit of the temperature of the temperature sensor.

[0043] Furthermore, the gateway module periodically sends a heartbeat signal representing the network status and network ID to the server of the big data center. The gateway module adopts a master-slave mode as a central node to receive wireless communication network signals from all monitoring terminals. The communication unit in the monitoring terminal can route all wireless communication network nodes through routing settings, realize the interconnection of all monitoring terminals, and route monitoring data in areas with weak network signals to the central node.

[0044] By implementing the technical solutions of the rail creep online monitoring terminal, system and method provided by the present invention, the following beneficial effects are achieved:

[0045] (1) The rail creep online monitoring terminal, system and method of the present invention adopt a non-contact measurement method to measure the rail creep amount and temperature, and transmit the data to the big data center by Internet of Things communication, so as to ensure the driving safety during the line operation, provide a reference basis for line maintenance, and provide a basis for the analysis of the development trend of line creep and the relationship between creep amount and temperature;

[0046] (2) The rail creep online monitoring terminal, system and method of the present invention realize the real-time transmission of rail creep and temperature monitoring data. The creep measurement accuracy reaches ±0.5mm and the temperature measurement accuracy reaches ±1℃, which provides guarantee for the safe operation and intelligent maintenance of high-speed railways. The non-contact measurement is adopted, and the modification of the online part of the existing line is minimal, which is highly safe and conducive to promotion and application.

[0047] (3) In the rail creep online monitoring terminal, system and method of the present invention, the gateway module adopts a master-slave mode as a central node to receive wireless communication network signals from all monitoring terminals; the communication unit in the monitoring terminal can route all wireless communication network nodes through routing settings to achieve the interconnection of all monitoring terminals, and can route monitoring data in areas with weak network signals to the central node, which can well adapt to weak signal areas such as tunnels and canyons;

[0048] (4) The rail creeping online monitoring terminal, system and method of the present invention adopt a measurement mark with a special structural design, combined with the installation structure and size of the monitoring terminal and the monitoring conversion terminal verified by a large number of line experiments, and through a specific measurement mark position solution algorithm, it can further achieve high-precision solution of the measurement mark position and high-precision identification of rail creeping. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] 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 prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other embodiments can be obtained based on these drawings without creative work.

[0050] Figure 1 It is a system structure block diagram of a specific embodiment of the rail creep online monitoring system of the present invention;

[0051] Figure 2 This is a block diagram of the connection structure of a big data center in a specific embodiment of the rail crawling online monitoring system of the present invention;

[0052] Figure 3 It is a block diagram of the connection structure of the detection conversion terminal in a specific embodiment of the rail creeping online monitoring system of the present invention;

[0053] Figure 4 This is a system structure block diagram of a specific embodiment of the rail crawling online monitoring terminal of the present invention;

[0054] Figure 5 It is a schematic diagram of the arrangement structure of the detection device and the detection conversion terminal in a specific embodiment of the rail creep online monitoring system of the present invention;

[0055] Figure 6 It is a schematic diagram of the structural dimensions of a measurement mark in a specific embodiment of the rail creep online monitoring system of the present invention;

[0056] In the figure: 1-monitoring terminal, 2-monitoring conversion terminal, 3-big data center, 4-measurement mark, 5-rail, 6-access terminal, 7-sleeper, 8-concrete layer, 9-bracket, 10-rail crawling online monitoring system, 11-camera component, 12-image processing unit, 13-signal acquisition unit, 14-communication unit, 15-temperature sensor, 16-light source, 20-gateway module, 31-server, 32-display screen, 41-first identification area, 42-first non-identification area, 43-second identification area, 44-second non-identification area. DETAILED DESCRIPTION

[0057] 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 only 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.

[0058] As attached Figure 1 To Attachment Figure 6 As shown, specific embodiments of the rail creep online monitoring terminal, system and method of the present invention are given, and the present invention is further described below in conjunction with the drawings and specific embodiments.

[0059] Example 1

[0060] As attached Figure 4As shown, an embodiment of the rail crawling online monitoring terminal of the present invention specifically includes: a camera component 11, an image processing unit 12, a signal acquisition unit 13, a communication unit 14, a temperature sensor 15 and a light source 16. The camera component 11 shoots (acquires) an image (picture) containing a measurement mark 4, and the image processing unit 12 calculates the position information of the measurement mark 4 according to the image shot by the camera component 11 and sends it to the signal acquisition unit 13. The light source 16 is used to supplement the image shooting of the measurement mark 4 under weak light conditions (such as at night or in dark light environments such as tunnels and canyons) through the triggering of the signal acquisition unit 13. The light source 16 can use an LED (Light Emitting Diode, short for light-emitting diode) module. The signal acquisition unit 13 simultaneously collects the rail temperature signal measured by the temperature sensor 15, and sends the rail temperature signal and the position information of the measurement mark 4 (i.e., image processing data) to the outside through the communication unit 14 in a master-slave mode. The communication unit 14 may further adopt wireless communication network protocols such as Zigbee (a low-speed short-distance transmission wireless network protocol), LoRa (a low-power LAN wireless standard), etc. The temperature sensor 15 further adopts an infrared temperature sensor to convert the temperature signal into an analog voltage signal.

[0061] The image processing unit 12 first performs denoising on the image taken by the camera assembly 11 , then obtains the shape description and center position parameters of the measurement mark 4 , and finally obtains the position information of the measurement mark 4 according to the pixel-millimeter ratio.

[0062] The image processing unit 12 further performs denoising on the image captured by the camera component 11 according to the following formula 1):

[0063] 1)

[0064] in, is the image after denoising. is the variance of the normal distribution, , are respectively the row coordinates and column coordinates of the image captured by the camera assembly 11. The above formula is used to perform denoising on the captured image, thereby filtering out the influence of noise while retaining the intact target edge information as much as possible.

[0065] The temperature sensor 15 measures the waist of the rail 5, which can avoid the direct influence of the high temperature of the sun and the surface temperature on the top of the rail 5, and reflects the rail temperature more accurately. The signal acquisition unit 13 collects the temperature analog signal of the rail 5, performs A / D conversion (Analog to Digital Converter, abbreviated as analog / digital conversion), and then sends it to the wireless communication network in master-slave mode through the communication unit 14. The signal acquisition unit 13 further calculates the temperature data of the rail 5 according to the following formula 2):

[0066] 2)

[0067] in, is the real-time temperature of rail 5, is the digital quantity sampled by A / D sampling of the signal acquisition unit 13, is the number of data bits sampled by the A / D. is the signal input range of A / D sampling, is the output range of the temperature sensor 15, is the upper temperature limit of the temperature sensor 15, is the lower limit of the temperature of the temperature sensor 15.

[0068] As attached Figure 6 As shown, Embodiment 1 uses a structure-coded target detection algorithm to locate the mark point of the measurement mark 4, by screening the target that meets the given structure in the image, and converting its center coordinates into actual physical coordinates as the detection value to be transmitted to the data terminal (i.e., the signal acquisition unit 13). The image processing unit 12 performs threshold segmentation on the image after denoising to obtain an image with a value of 0 or 1. , traverse the image All pixels on the horizontal direction satisfy A collection of pixels For each group belonging to Subset of Pixel horizontal coordinate After accumulation, divide by 2 to get its horizontal center coordinates ,exist Location statistics whether there is a satisfying If the pixel set does not exist, this is ignored. If it exists, calculate its vertical center coordinates , and As the center (point) position parameter of the measurement mark 4.

[0069] Example 2

[0070] As attached Figure 1As shown, an embodiment of an online monitoring system 10 for creeping of rails of the present invention specifically includes: a monitoring conversion terminal 2, a big data center 3, a measurement mark 4, an access terminal 6, and one or more monitoring terminals 1 as described in Example 1 (for example, 1 to 200 groups of monitoring terminals 1 can be interconnected through Zigbee). The measurement mark 4 is fixedly connected to the rail 5 to characterize the position of the rail 5, and the monitoring terminal 1 and the monitoring conversion terminal 2 realize the creeping amount and temperature measurement of the rail 5 and are interconnected through a wireless communication network (such as Zigbee or LoRa network). The monitoring conversion terminal 2 packages the wireless data (such as Zigbee or LoRa data) in the same network IP (Internet Protocol, the abbreviation of Internet interconnection protocol) and uploads it to the big data center 3 through a mobile communication network. The access terminal 6 obtains the data of the big data center 3 through Ethernet, realizes the trend analysis of the creeping amount and temperature historical data of the rail 5, provides reference data for engineering maintenance, and can provide safety warning signals for the dispatching center. Among them, the wireless communication network can further adopt mobile communication networks such as 4G and 5G. The rail creeping online monitoring system 10 described in Example 2 is based on the Internet of Things technology and uses 4G and ZigBee to establish a two-level wireless communication network to achieve real-time transmission of monitoring data.

[0071] As attached Figure 2 As shown, the big data center 3 further includes a server 31 and a display screen 32 connected to the server 31, which are deployed in the machine room. The server 31 is connected to the monitoring conversion terminal 2 via a mobile communication network (such as a 4G or 5G network). The server 31 is used to achieve data management, display, and historical data analysis, and provide data for the access terminal 6. The display screen 32 is used to display information including real-time collection data, site maps, and site trend charts.

[0072] As attached Figure 3 As shown, the monitoring conversion terminal 2 further includes a gateway module 20 and a monitoring terminal 1. The gateway module 20 is connected to the big data center 3, and the monitoring terminals 1 inside and outside the monitoring conversion terminal 2, respectively. The gateway module 20 can specifically adopt a mini gateway (a relay device between smart devices and routers used in the field of the Internet of Things). The gateway module 20 is used to convert signals between the wireless communication network and the mobile communication network (such as ZigBee and 4G) to achieve interconnection and isolation between the two layers of the network. The gateway module 20 regularly sends a heartbeat signal representing the network status and network ID (i.e., network number) to the big data center 3. As a central node, the gateway module 20 adopts a master-slave mode to receive wireless communication network signals from all monitoring terminals 1.

[0073] The communication unit 14 in the monitoring terminal 1 can route all wireless communication network nodes through routing settings, realize the intelligent interconnection of all monitoring terminals 1, enhance the system reliability, and route the monitoring data in areas with weak operator network signals such as tunnels and canyons to the central node.

[0074] The access terminal 6 further includes authorized users such as system maintenance personnel, engineering personnel and dispatching center. System maintenance personnel refer to the daily operation and maintenance personnel of the rail crawling online monitoring system based on Internet of Things communication, and mainly perform operations including access permission management, site management and equipment failure maintenance. Engineering personnel refer to rail stress release operators, who perform local stress release adjustment operations on rails 5 according to the early warning and alarm information monitored by the big data center 3. The dispatching center is the railway operation dispatching room, which is responsible for alarm notification of abnormal situations, issuing deceleration or suspension signals for operating vehicles in the area where the crawling volume exceeds the limit according to the situation, and coordinating the engineering personnel to perform operations.

[0075] The measuring mark 4 is further made of metal material (such as aluminum alloy), and the specific size is 36mm*36mm*1mm. The measuring mark 4 is fixed (pasted) to the waist of the rail 5 by dry hanging glue, and the upper edge of the measuring mark 4 is 65mm±5mm away from the top surface of the rail 5. The measuring mark 4 includes a first marking area 41, a first non-marking area 42, a second marking area 43 and a second non-marking area 44 which are arranged concentrically from the inside to the outside, as shown in the attached figure. Figure 6 As shown in the figure, 4mm, 4mm, 12mm, 4mm, 4mm, and The first identification area 41 and the second identification area 43 are colored with high contrast relative to the first non-identification area 42 and the second non-identification area 44. For example, the first identification area 41 and the second identification area 43 are black, and the first non-identification area 42 and the second non-identification area 44 form a white diffuse reflection background.

[0076] As attached Figure 5 As shown, the monitoring terminal 1 and the monitoring conversion terminal 2 are arranged on the outside of the rail 5, and the distance from the protruding part of the housing of the monitoring terminal 1 and the monitoring conversion terminal 2 toward the rail 5 to the center line of the track is Between 2440mm and 2700mm. The sleeper 7 is arranged on the concrete layer 8, and the rail 5 is arranged on the sleeper 7. The monitoring terminal 1 and the monitoring conversion terminal 2 are installed on the concrete layer 8 through the bracket 9, and the depth of the bracket 9 buried in the concrete layer 8 is The distance between the bottom of the monitoring terminal 1 and the monitoring conversion terminal 2 and the surface of the concrete layer 8 is 500 ± 20 mm. Between 300±20mm. The height of the cabinet of monitoring terminal 1 and monitoring conversion terminal 2 180mm, the top plate thickness of bracket 9 The vertical difference between the top of the box of the monitoring terminal 1 and the monitoring conversion terminal 2 and the top surface of the rail 5 is ±20mm.

[0077] Example 3

[0078] In an embodiment of the rail creeping online monitoring method of the present invention, the monitoring terminal 1 includes a camera component 11, an image processing unit 12, a signal acquisition unit 13, a communication unit 14, a temperature sensor 15 and a light source 16. The rail creeping online monitoring method specifically includes the following steps:

[0079] S10) The measurement mark 4 is fixedly connected to the rail 5, and the camera assembly 11 captures an image including the measurement mark 4;

[0080] S20) The image processing unit 12 calculates the position information of the measurement mark 4 according to the image captured by the camera assembly 11 and sends it to the signal acquisition unit 13; under weak light conditions, the signal acquisition unit 13 triggers the light source 16 to provide fill light for the image captured by the measurement mark 4;

[0081] S30) The signal acquisition unit 13 acquires the rail temperature signal measured by the temperature sensor 15, and sends the rail temperature signal and the position information of the measurement mark 4 to the outside through the communication unit 14;

[0082] S40) The communication units 14 of two or more monitoring terminals 1 are interconnected via a wireless communication network to achieve interactive transmission of creepage and temperature measurement data of the rail 5;

[0083] S50) The gateway module 20 packages the wireless data in the same wireless communication network IP and uploads it to the big data center 3 via the mobile communication network.

[0084] Step S20) further comprises:

[0085] S21) the image processing unit 12 performs denoising on the image captured by the camera assembly 11;

[0086] S22) the image processing unit 12 obtains the shape description and center position parameters of the measurement mark 4 according to the image after denoising;

[0087] S23) The image processing unit 12 obtains the position information of the measurement mark 4 according to the shape description and the center position parameter of the measurement mark 4 and in combination with the pixel-to-millimeter ratio.

[0088] Step S22) further comprises:

[0089] S220) The image processing unit 12 further performs denoising on the image captured by the camera assembly 11 according to the following formula 1):

[0090] 1)

[0091] in, is the image after denoising. is the variance of the normal distribution, , are respectively the row coordinates and column coordinates of the image captured by the camera assembly 11;

[0092] S221) The image processing unit 12 performs threshold segmentation on the image after denoising to obtain an image with a value of 0 or 1 , traverse the image All pixels on the horizontal direction satisfy A collection of pixels ;

[0093] S222) For each group belonging to Subset of Pixel horizontal coordinate After accumulation, divide by 2 to get its horizontal center coordinates ,exist Location statistics whether there is a satisfying If the pixel set does not exist, this is ignored. ;

[0094] S223) If it exists, calculate its vertical center coordinates , and As the center (point) position parameter of the measurement mark 4.

[0095] Step S30) further comprises:

[0096] The temperature sensor 15 measures the waist position of the rail 5. The signal acquisition unit 13 collects the temperature analog signal of the rail 5, performs A / D conversion on it, and then sends it to the wireless communication network in master-slave mode through the communication unit 14. The signal acquisition unit 13 further calculates the temperature data of the rail 5 according to the following formula:

[0097] 2)

[0098] in, is the real-time temperature of rail 5, is the digital quantity sampled by A / D sampling of the signal acquisition unit 13, is the number of data bits sampled by the A / D. is the signal input range of A / D sampling, is the output range of the temperature sensor 15, is the upper temperature limit of the temperature sensor 15, is the lower limit of the temperature of the temperature sensor 15.

[0099] The gateway module 20 periodically sends a heartbeat signal representing the network status and network ID to the server 31 of the big data center 3. The gateway module 20, as a central node, adopts a master-slave mode to receive wireless communication network signals from all monitoring terminals 1. The communication unit 14 in the monitoring terminal 1 can route all wireless communication network nodes through routing settings, realize the interconnection of all monitoring terminals 1, and can route monitoring data in areas with weak network signals to the central node.

[0100] By implementing the technical solutions of the rail creep online monitoring terminal, system and method described in the specific embodiments of the present invention, the following technical effects can be achieved:

[0101] (1) The rail creep online monitoring terminal, system and method described in the specific embodiment of the present invention adopts a non-contact measurement method to measure the rail creep amount and temperature, and transmits the data to a big data center by means of Internet of Things communication, so as to ensure the driving safety during the line operation, provide a reference basis for line maintenance, and provide a basis for the analysis of the development trend of line creep and the relationship between creep amount and temperature;

[0102] (2) The rail creep online monitoring terminal, system and method described in the specific embodiments of the present invention realize the real-time transmission of rail creep and temperature monitoring data. The creep measurement accuracy reaches ±0.5mm and the temperature measurement accuracy reaches ±1℃, which provides guarantee for the safe operation and intelligent maintenance of high-speed railways. The non-contact measurement is adopted, and the modification of the online part of the existing line is minimal, which is highly safe and conducive to promotion and application.

[0103] (3) In the rail creep online monitoring terminal, system and method described in the specific embodiment of the present invention, the gateway module adopts a master-slave mode as a central node to receive wireless communication network signals from all monitoring terminals; the communication unit in the monitoring terminal can route all wireless communication network nodes through routing settings to achieve the interconnection of all monitoring terminals, and can route monitoring data in areas with weak network signals to the central node, which can well adapt to weak signal areas such as tunnels and canyons;

[0104] (4) The rail creeping online monitoring terminal, system and method described in the specific embodiments of the present invention adopt measurement marks with special structural design, combined with the installation structure and dimensions of the monitoring terminal and the monitoring conversion terminal verified by a large number of line experiments, and through a specific measurement mark position solution algorithm, it is possible to further achieve high-precision solution of the measurement mark position and high-precision identification of rail creeping.

[0105] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0106] The above is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as above in the preferred embodiment, it is not used to limit the present invention. Any technician familiar with the art can make many possible changes and modifications to the technical solution of the present invention by using the methods and technical contents disclosed above without departing from the spirit and technical solution of the present invention, or modify it into an equivalent embodiment of equivalent changes. Therefore, any simple modification, equivalent replacement, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the scope of protection of the technical solution of the present invention.

Claims

1. A rail creep online monitoring terminal, characterized in that: include: A camera assembly (11), an image processing unit (12), a signal acquisition unit (13), a communication unit (14), a temperature sensor (15) and a light source (16); the camera assembly (11) captures an image containing a measurement mark (4); the image processing unit (12) calculates the position information of the measurement mark (4) based on the image captured by the camera assembly (11) and sends the position information to the signal acquisition unit (13); the light source (16) is used to provide fill light for capturing the image of the measurement mark (4) under weak light conditions through the triggering of the signal acquisition unit (13); the signal The signal acquisition unit (13) simultaneously acquires the rail temperature signal measured by the temperature sensor (15), and transmits the rail temperature signal and the position information of the measurement mark (4) to the outside through the communication unit (14); the image processing unit (12) first performs denoising on the image taken by the camera component (11), then obtains the shape description and center position parameters of the measurement mark (4), and finally obtains the position information of the measurement mark (4) according to the pixel-millimeter ratio; the image processing unit (12) performs threshold segmentation on the image after denoising to obtain an image with a value of 0 or 1 , traverse the image All pixels on the horizontal direction satisfy A collection of pixels ; For each group belonging to Subset of Pixel horizontal coordinate After accumulation, divide by 2 to get its horizontal center coordinates ,exist Location statistics whether there is a satisfying If the pixel set does not exist, this is ignored. ; If it exists, calculate its vertical center coordinates , and As the center position parameter of the measurement mark (4).

2. The rail creep online monitoring terminal according to claim 1 is characterized in that: The temperature sensor (15) measures the waist position of the rail (5); the signal acquisition unit (13) acquires the temperature analog signal of the rail (5), performs A / D conversion on it, and then sends it to the wireless communication network in a master-slave mode through the communication unit (14); the signal acquisition unit (13) calculates the temperature data of the rail (5) according to the following formula; ； in, is the real-time temperature of the rail (5), is the digital quantity sampled by the signal acquisition unit (13) through A / D sampling. is the number of data bits sampled by A / D, is the signal input range of A / D sampling, is the output range of the temperature sensor (15), is the upper temperature limit of the temperature sensor (15), is the lower temperature limit of the temperature sensor (15).

3. The rail creep online monitoring terminal according to claim 1 or 2, characterized in that: The image processing unit (12) performs denoising processing on the image captured by the camera component (11) according to the following formula; ； in, is the image after denoising. is the variance of the normal distribution, , are respectively the row coordinates and column coordinates of the image captured by the camera component (11).

4. A rail creep online monitoring system, characterized in that: include: A monitoring conversion terminal (2), a big data center (3), a measurement identifier (4), an access terminal (6), and one or more monitoring terminals (1) according to any one of claims 1 to 3; the measurement identifier (4) is fixedly connected to a rail (5); the monitoring terminal (1) and the monitoring conversion terminal (2) realize creepage and temperature measurement of the rail (5) and are interconnected through a wireless communication network; the monitoring conversion terminal (2) packages wireless data within the same network IP and uploads it to the big data center (3) through a mobile communication network; the access terminal (6) obtains data from the big data center (3).

5. The rail creep online monitoring system according to claim 4 is characterized in that: The big data center (3) comprises a server (31) and a display screen (32) connected to the server (31), wherein the server (31) is connected to the monitoring conversion terminal (2) via a mobile communication network; the server (31) is used to implement data management, display, and historical data analysis, and at the same time provide data for the access terminal (6); the display screen (32) is used to display information including real-time collected data, site maps, and site trend graphs.

6. The rail creep online monitoring system according to claim 4 or 5, characterized in that: The monitoring conversion terminal (2) comprises a gateway module (20) and a monitoring terminal (1); the gateway module (20) is connected to a large data center (3) and monitoring terminals (1) inside and outside the monitoring conversion terminal (2), respectively; the gateway module (20) is used for signal conversion between a wireless communication network and a mobile communication network, thereby realizing interconnection and isolation between the two layers of the network; the gateway module (20) regularly sends a heartbeat signal representing a network status and a network ID to the large data center (3); the gateway module (20) as a central node adopts a master-slave mode and receives wireless communication network signals from all monitoring terminals (1).

7. The rail creep online monitoring system according to claim 6, characterized in that: The communication unit (14) in the monitoring terminal (1) can route all wireless communication network nodes through routing settings, thereby realizing the interconnection of all monitoring terminals (1) and routing monitoring data in areas with weak network signals to a central node.

8. The rail creep online monitoring system according to claim 7, characterized in that: The access terminal (6) includes system maintenance personnel, engineering personnel and a dispatching center; the system maintenance personnel perform operations including access rights management, site management and equipment fault maintenance; the engineering personnel perform local stress release adjustment operations on the rails (5) based on the early warning and alarm information monitored by the big data center (3); the dispatching center issues an alarm notification for abnormal situations, and sends a deceleration or stop signal to operating vehicles in the area where the creep volume exceeds the limit according to the situation, and coordinates the engineering personnel to perform operations.

9. The rail creep online monitoring system according to claim 4, 5, 7 or 8, characterized in that: The measuring mark (4) is made of metal, fixedly connected to the waist of the steel rail (5), and comprises a first marking area (41), a first non-marking area (42), a second marking area (43), and a second non-marking area (44) which are arranged concentrically from the inside to the outside; the first marking area (41) and the second marking area (43) are colored with a high contrast relative to the first non-marking area (42) and the second non-marking area (44).

10. The rail creep online monitoring system according to claim 9, characterized in that: The monitoring terminal (1) and the monitoring conversion terminal (2) are arranged on the outside of the rail (5); the distance between the protruding part of the housing of the monitoring terminal (1) and the monitoring conversion terminal (2) facing the side of the rail (5) and the center line of the rail is between 2440 mm and 2700 mm; the monitoring terminal (1) and the monitoring conversion terminal (2) are installed on the concrete layer (8) through the bracket (9); the depth of the bracket (9) buried in the concrete layer (8) is between 500±20 mm; the installation bottom of the housing of the monitoring terminal (1) and the monitoring conversion terminal (2) is 300±20 mm higher than the surface of the concrete layer (8); the vertical difference between the top of the housing of the monitoring terminal (1) and the monitoring conversion terminal (2) and the top surface of the rail (5) is ±20 mm.

11. A method for online monitoring of rail creep using the online monitoring system for rail creep as claimed in any one of claims 4 to 10, characterized in that: The monitoring terminal (1) comprises a camera assembly (11), an image processing unit (12), a signal acquisition unit (13), a communication unit (14), a temperature sensor (15) and a light source (16); the method comprises the following steps: S10) fixing the measurement mark (4) to the rail (5), and using the camera assembly (11) to capture an image containing the measurement mark (4); S20) the image processing unit (12) calculates the position information of the measurement mark (4) based on the image captured by the camera assembly (11) and sends the position information to the signal acquisition unit (13); under weak light conditions, the signal acquisition unit (13) triggers the light source (16) to provide fill light for the image captured of the measurement mark (4); S30) the signal acquisition unit (13) acquires the rail temperature signal measured by the temperature sensor (15), and transmits the rail temperature signal and the position information of the measurement mark (4) to the outside through the communication unit (14); S40) the communication units (14) of two or more monitoring terminals (1) are interconnected via a wireless communication network to achieve interactive transmission of creepage and temperature measurement data of the rail (5); S50) The gateway module (20) packages the wireless data in the same wireless communication network IP and uploads it to the big data center (3) via the mobile communication network.

12. The rail creep online monitoring method according to claim 11, characterized in that: The step S20) further comprises: S21) the image processing unit (12) performs denoising on the image captured by the camera component (11); S22) the image processing unit (12) acquires a shape description and a center position parameter of the measurement mark (4) according to the image after the denoising process; S23) The image processing unit (12) obtains the position information of the measurement mark (4) based on the shape description and the center position parameter of the measurement mark (4) and in combination with the pixel-to-millimeter ratio.

13. The rail creep online monitoring method according to claim 12, characterized in that: The step S22) further comprises: S221) The image processing unit (12) performs threshold segmentation on the image after the denoising process to obtain an image with a value of 0 or 1 , traverse the image All pixels on the horizontal direction satisfy A collection of pixels ; S222) For each group belonging to Subset of Pixel horizontal coordinate After accumulation, divide by 2 to get its horizontal center coordinates ,exist Location statistics whether there is a satisfying If the pixel set does not exist, this is ignored. ; S223) If it exists, calculate its vertical center coordinates , and As the center position parameter of the measurement mark (4).

14. The rail creep online monitoring method according to claim 11, 12 or 13, characterized in that: The step S30) further comprises: The temperature sensor (15) measures the waist position of the rail (5); the signal acquisition unit (13) acquires the temperature analog signal of the rail (5), performs A / D conversion on it, and then sends it to the wireless communication network in a master-slave mode through the communication unit (14); the signal acquisition unit (13) calculates the temperature data of the rail (5) according to the following formula; ； in, is the real-time temperature of the rail (5), is the digital quantity sampled by the signal acquisition unit (13) through A / D sampling. is the number of data bits sampled by A / D, is the signal input range of A / D sampling, is the output range of the temperature sensor (15), is the upper temperature limit of the temperature sensor (15), is the lower temperature limit of the temperature sensor (15).

15. The rail creep online monitoring method according to claim 14, characterized in that: The gateway module (20) periodically sends a heartbeat signal representing the network status and network ID to the server (31) of the big data center (3); the gateway module (20) adopts a master-slave mode as a central node to receive wireless communication network signals from all monitoring terminals (1); the communication unit (14) in the monitoring terminal (1) can route all wireless communication network nodes through routing settings, realize the interconnection of all monitoring terminals (1), and can route monitoring data in areas with weak network signals to the central node.

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