CN114061534A - Track plate deformation detection method and device and electronic equipment - Google Patents
Track plate deformation detection method and device and electronic equipment Download PDFInfo
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Abstract
The specification provides a method and a device for detecting deformation of a track plate and electronic equipment. Based on the method, track height irregularity detection data of a plurality of position points on a target track to be detected can be obtained firstly; according to a preset processing rule, performing time-frequency analysis processing by using the track height irregularity detection data of the position points to obtain time-frequency energy of the position points on the target track; and then whether the track slab deformation exists on the target track can be determined according to the time-frequency energy of a plurality of position points on the target track. Therefore, the detection flow can be effectively simplified, whether the track slab deformation exists on the target track or not can be accurately and efficiently detected and determined, the detection cost is reduced, and the detection efficiency is improved.
Description
Technical Field
The present disclosure relates to a method and an apparatus for detecting deformation of a track slab, and an electronic device.
Background
The ballastless track is a track structure type which is commonly used in a high-speed railway. Generally, along with the increase of service life and the influence of external environment, the track plate in the ballastless track is easy to deform and the like, so that the transportation safety of a railway is influenced.
The existing detection method based on the deformation of the track slab is mostly realized by adopting manual measurement or sensor monitoring. However, when the above method is implemented, there are problems of low detection efficiency, limited detection range, high detection cost, and the like.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The specification provides a method and a device for detecting track slab deformation and electronic equipment, which can effectively simplify a detection process, accurately and efficiently detect and determine whether track slab deformation exists on a target track, reduce detection cost and improve detection efficiency.
The embodiment of the specification provides a method for detecting deformation of a track slab, which comprises the following steps:
acquiring track height irregularity detection data of a plurality of position points on a target track;
according to a preset processing rule, performing time-frequency analysis processing by using the track height irregularity detection data of the position points to obtain time-frequency energy of the position points on the target track;
and determining whether the track slab deformation exists on the target track or not according to the time-frequency energy of the plurality of position points on the target track.
In some embodiments, acquiring track irregularity detection data for a plurality of location points on a target track comprises:
controlling a track inspection vehicle or a comprehensive detection train to run along a target track; and in the running process, the track inspection vehicle or the comprehensive detection train is controlled to acquire track irregularity detection data of one position point on the target track at preset distances so as to obtain the track irregularity detection data of a plurality of position points on the target track.
In some embodiments, according to a preset processing rule, obtaining time-frequency energy of a plurality of location points on a target track by performing time-frequency analysis processing using the track irregularity detection data of the location points includes:
according to a preset processing rule, carrying out preset short-time Fourier transform on the track height irregularity detection data of the plurality of position points to obtain transformed target data;
and calculating a square value of the transformed target data to obtain time-frequency energy of a plurality of position points on the target track.
In some embodiments, performing a preset short-time fourier transform on the track irregularity detection data of the plurality of location points according to a preset processing rule includes:
performing a preset short-time Fourier transform according to the following equation:
wherein N is a number of position points spaced apart from the start position point by a corresponding distance, N is a total number of the position points, m is a position point variable, x [ m ] is track irregularity detection data of the corresponding position point, k is a variable corresponding to a frequency, and g () represents a preset window function.
In some embodiments, determining whether there is track slab deformation on the target track according to the time-frequency energy of the plurality of location points on the target track includes:
detecting whether energy values corresponding to target characteristic wavelengths in time-frequency energy of a plurality of position points on the target track are larger than a preset energy threshold value or not;
and under the condition that the energy value corresponding to the target characteristic wavelength in the time-frequency energy of at least one position point in the plurality of position points on the target track is determined to be larger than a preset energy threshold, determining that the track slab deformation exists on the target track.
In some embodiments, the target characteristic wavelength is determined according to a length of the track plate.
In some embodiments, after determining that there is track slab deformation on the target track, the method further comprises:
determining a position point, which is larger than a preset energy threshold value, of the energy value corresponding to the target characteristic wavelength in the time-frequency energy from the target track, and taking the position point as a deformation position point;
and generating maintenance prompt information aiming at the deformation position points.
The embodiment of this specification also provides a detection apparatus for track slab deformation, including:
the system comprises an acquisition module, a detection module and a control module, wherein the acquisition module is used for acquiring track height irregularity detection data of a plurality of position points on a target track;
the processing module is used for carrying out time-frequency analysis processing by utilizing the track height irregularity detection data of the position points according to a preset processing rule to obtain time-frequency energy of the position points on the target track;
and the determining module is used for determining whether the track slab deformation exists on the target track according to the time-frequency energy of the plurality of position points on the target track.
An embodiment of the present specification further provides an electronic device, including a processor and a memory for storing processor-executable instructions, where the processor executes the instructions to implement the following steps: acquiring track height irregularity detection data of a plurality of position points on a target track; according to a preset processing rule, performing time-frequency analysis processing by using the track height irregularity detection data of the position points to obtain time-frequency energy of the position points on the target track; and determining whether the track slab deformation exists on the target track or not according to the time-frequency energy of the plurality of position points on the target track.
Embodiments of the present specification also provide a computer-readable storage medium having stored thereon computer instructions that, when executed, implement: acquiring track height irregularity detection data of a plurality of position points on a target track; according to a preset processing rule, performing time-frequency analysis processing by using the track height irregularity detection data of the position points to obtain time-frequency energy of the position points on the target track; and determining whether the track slab deformation exists on the target track or not according to the time-frequency energy of the plurality of position points on the target track.
The method, the device and the electronic equipment for detecting the deformation of the track slab, which are provided by the embodiment of the description, can be used for firstly acquiring track height irregularity detection data of a plurality of position points which are spaced at a certain distance on a target track to be detected; according to a preset processing rule, performing time-frequency analysis processing by using the track height irregularity detection data of the position points to obtain time-frequency energy of the position points on the target track; and then, based on the dimension of the waveform energy, detecting and determining whether the track slab deformation exists on the target track according to the time-frequency energy of a plurality of position points on the target track. Therefore, the detection flow can be effectively simplified, whether the track slab deformation exists on the target track or not can be accurately and efficiently detected and determined, the detection cost is reduced, and the detection efficiency is improved. Based on the method, under the condition that the track slab deformation exists on the target track, further, the deformation position point with the track slab deformation can be accurately positioned on the target track; and further, targeted maintenance processing can be carried out on the deformation position points, so that potential safety hazards caused by deformation of the track slab on the target track can be eliminated timely, and the running safety of the train on the target track is protected.
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In order to more clearly illustrate the embodiments of the present specification, the drawings needed to be used in the embodiments will be briefly described below, and the drawings in the following description are only some of the embodiments described in the specification, and it is obvious to those skilled in the art that other drawings can be obtained based on the drawings without any inventive work.
Fig. 1 is a schematic flow chart of a detection method for track slab deformation according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of an embodiment of a method for detecting deformation of a track slab, to which the embodiments of the present description are applied, in an example scenario;
fig. 3 is a schematic diagram of an embodiment of a method for detecting deformation of a track slab, to which the embodiments of the present description are applied, in a scene example;
fig. 4 is a schematic structural component diagram of an electronic device provided in an embodiment of the present specification;
fig. 5 is a schematic structural component diagram of a track plate deformation detection device provided in an embodiment of the present disclosure.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present specification, and not all of the embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present specification without any inventive step should fall within the scope of protection of the present specification.
In consideration of the existing methods, the deformation of the track slab is mostly detected by adopting methods such as manual measurement or sensor monitoring. However, the track to be detected is often very long, and if the track slab deformation detection is performed in a manual measurement mode, a large amount of labor cost is often consumed, and the detection efficiency is low. If the deformation detection of the track slab is carried out by adopting a sensor monitoring mode, a large number of sensors need to be arranged in a track area to be detected in advance, and the detection cost is relatively high; in addition, the detected track area is limited to the area where the sensors are arranged, and the detection range is relatively limited, for example, the track of other road sections cannot be directly detected based on the method, and the detection can be performed only after the corresponding sensors are arranged in the track area of other road sections again.
Just notice the above-mentioned problem that exists when current method carries out track board deformation detection, combine the track irregularity to be the characteristics that have nonstationary characteristic, this application proposes: the track height irregularity detection data of a plurality of different position points on the track can be introduced and utilized, the distribution of the energy of the track height irregularity detection data along with the space and the frequency can be obtained by performing time-frequency analysis, and further the abnormal position points with track plate deformation on the track can be identified and positioned by utilizing the change characteristics of certain frequency components (or components corresponding to certain wavelengths) in the energy distribution along with the space. Therefore, the detection process can be effectively simplified, whether the track slab deformation exists on the target track or not can be accurately and efficiently detected and determined, and the problems of low detection efficiency, high detection cost and the like in the existing detection method are solved.
Referring to fig. 1, an embodiment of the present disclosure provides a method for detecting deformation of a track plate. When the method is implemented, the following contents can be included:
s101: acquiring track height irregularity detection data of a plurality of position points on a target track;
s102: according to a preset processing rule, performing time-frequency analysis processing by using the track height irregularity detection data of the position points to obtain time-frequency energy of the position points on the target track;
s103: and determining whether the track slab deformation exists on the target track or not according to the time-frequency energy of the plurality of position points on the target track.
By the embodiment, track height irregularity detection data of a plurality of position points on the target track to be detected can be introduced and utilized, and time-frequency energy of the position points is obtained by performing time-frequency analysis processing; and then, the time-frequency energy can be used as a detection basis to detect whether the track slab deformation exists on the target track.
In some embodiments, the target track may be specifically understood as a track to be detected. Specifically, the target track may be a ballastless track.
The ballastless track can be also called as ballastless track, and is a track structure adopting integral foundations such as concrete and asphalt mixture to replace a loose gravel track bed.
In some embodiments, the track slab may be a structural form of slab in a track to support and secure the rail, and to distribute loads transmitted by a train passing through the track to the sub-track components of the sub-slab base.
Generally, with the increase of service life and the influence of external environment (such as temperature, rain and snow weather, etc.), the track slab can be deformed, so that the comfort and the stability of a train passing through the track slab are influenced, and even the running safety of the train is influenced.
In some embodiments, the track irregularity detection data may specifically refer to a height difference between a top end of the track and a reference acquired at the corresponding position point. A plurality of continuous position points on the same track are connected in sequence to form a wave shape with uneven height.
In some embodiments, the plurality of location points (which may also be referred to as mileage points) may be specifically a plurality of location points spaced apart by a preset distance (or referred to as mileage) on the target track. Wherein, the preset distance may be 0.25 m. It should be noted, of course, that the above-listed predetermined distances are merely illustrative. In specific implementation, other suitable distance values may also be used as the preset distance according to specific situations and processing requirements. The present specification is not limited to these.
In some embodiments, the above-mentioned obtaining track irregularity detection data of a plurality of position points on the target track may include the following steps: controlling a track inspection vehicle or a comprehensive detection train to run along a target track; and in the running process, the track inspection vehicle or the comprehensive detection train is controlled to acquire track irregularity detection data of one position point on the target track at preset distances so as to obtain the track irregularity detection data of a plurality of position points on the target track.
Through the embodiment, track height irregularity detection data of a plurality of position points on the target track can be acquired more efficiently, and continuous monitoring and management can be performed on irregularity of the target track.
In some embodiments, for a more complex target track, the above obtaining track irregularity detection data of a plurality of position points on the target track may further include the following contents in specific implementation: and dynamically detecting various track geometric states on the target track to obtain richer and more comprehensive track irregularity detection data. Wherein the plurality of track geometries comprises geometries that may specifically include one or more of the following: high and low, track direction, triangular pits, etc.
In some embodiments, it is considered that although the conventionally used analysis method based on the track spectrum can analyze the wavelength and amplitude characteristics of the track irregularity and characterize and evaluate the smoothness of the whole track, the calculation of the track spectrum is based on fourier transform, so that it is required to ensure that the acquired signal (i.e. the track irregularity detection data) is smooth. In a real track environment, due to the fact that track structures, natural climate, maintenance and repair levels and the like have large differences on different tracks or different position points of the same track, track irregularity is not really smooth, and particularly in some track defect areas (for example, track areas with track plate deformation), the track irregularity has a non-smooth characteristic. In addition, the orbit spectrum has the defect that the irregularity state of the orbit cannot be simultaneously represented in the spatial domain and the frequency domain, so that the position where the deformation of the orbit plate exists cannot be located based on the orbit spectrum.
In view of the above characteristics, in this embodiment, it is proposed that the distribution of the energy of the track irregularity detection data along with the space and the frequency may be obtained by performing time-frequency analysis processing on the track irregularity detection data of the plurality of position points, so as to obtain the time-frequency energy of the plurality of position points on the target track meeting the requirements.
In some embodiments, the above-mentioned performing, according to a preset processing rule, time-frequency analysis processing by using the track irregularity detection data of the plurality of position points to obtain time-frequency energy of the plurality of position points on the target track may include the following steps:
s1: according to a preset processing rule, carrying out preset short-time Fourier transform on the track height irregularity detection data of the plurality of position points to obtain transformed target data;
s2: and calculating a square value of the transformed target data to obtain time-frequency energy of a plurality of position points on the target track.
In some embodiments, the preset Short-time Fourier Transform may be specifically understood as a Short-time Fourier Transform (STFT) that is different from a conventional STFT that involves a time domain and a frequency domain, but rather a Transform that involves a spatial domain and a frequency domain that is improved for a track slab deformation detection scenario.
In some embodiments, the performing, according to a preset processing rule, a preset short-time fourier transform on the track irregularity detection data of the plurality of position points may include the following steps:
performing a preset short-time Fourier transform according to the following equation:
n may be a number of position points that are located at a corresponding distance from the start position point, N may be a total number of position points, m may be a position point variable, x [ m ] may be track irregularity detection data of the corresponding position point, k may be a variable corresponding to a frequency, and g () represents a preset window function.
In some embodiments, N is 0,1, N-1.
The above k is a variable corresponding to the frequency, and k is 0,1, …, N-1. In specific implementation, the corresponding actual frequency can be determined according to the sampling frequency of the track irregularity detection data. Typically the obtained track irregularity detection data is obtained by sampling at equal spatial intervals. For example, one data point is sampled at intervals of 0.25m, and track irregularity detection data corresponding to one position point is obtained. Correspondingly, the sampling period may be understood as 0.25m, and the corresponding spatial sampling frequency fs may be the inverse of the above period, i.e. 1/0.25-4, with the unit m-1. Further, the actual frequency of the lth point in k can be calculated according to the following equation: (L) L ═ fs (fs/N) in m-1。
In some embodiments, the preset window function used for the track slab deformation detection scenario may be Hanning window (Hanning), in particular.
Specifically, the continuous form expression of the preset window function can be expressed as:
wherein T is the window function length (T is more than or equal to 0 and less than or equal to T in the time window range).
The discrete form expression of the preset window function can be expressed as:
where H is the window function length.
In some embodiments, the determining whether there is deformation of the track slab on the target track according to the time-frequency energy of the plurality of position points on the target track may include the following steps:
s1: detecting whether energy values corresponding to target characteristic wavelengths in time-frequency energy of a plurality of position points on the target track are larger than a preset energy threshold value or not;
s2: and under the condition that the energy value corresponding to the target characteristic wavelength in the time-frequency energy of at least one position point in the plurality of position points on the target track is determined to be larger than a preset energy threshold, determining that the track slab deformation exists on the target track.
By the embodiment, the time-frequency energy of a plurality of position points on the target track can be effectively used as the indication parameter, the energy values corresponding to certain target characteristic wavelengths are detected in a targeted manner, and the track slab with serious deformation is found out by searching for a larger energy value.
In some embodiments, the preset energy threshold may be specifically determined according to an environment where the target track is located, and attribute parameters of the target track, such as a material and a size of the target track.
Specifically, the preset energy threshold may be 0.2. Of course, the above listed preset energy thresholds are only illustrative. In specific implementation, other suitable values can be set as the preset energy threshold according to specific situations and processing requirements.
In some embodiments, the target characteristic wavelength may be determined in advance according to the size and material of the track plate.
Specifically, the target characteristic wavelength may be a wavelength range, for example, a wavelength range of 5 meters or more and 6.5 meters or less. The target characteristic wavelength may also be one or several selected wavelength values, e.g. 6 meters, etc. Of course, it should be noted that the target characteristic wavelength listed above is only an illustrative example.
In some embodiments, after performing time-frequency analysis by using the track irregularity detection data of the plurality of position points according to a preset processing rule to obtain time-frequency energy of the plurality of position points on the target track, when the method is implemented, the method may further include the following steps: constructing a time-frequency energy value distribution map of the target track according to the time-frequency energy of a plurality of position points on the target track; correspondingly, whether the track slab deformation exists on the target track can be determined according to the time-frequency energy value distribution diagram of the target track.
The time-frequency energy value distribution map of the target track may be an energy distribution map in which a distance (i.e., a distance relative to the start position point) is represented by an abscissa, a frequency is represented by an ordinate, and a time-frequency energy value is represented by a gray value. In particular, as shown in fig. 2.
By the embodiment, a relatively more visual and fine time-frequency energy value distribution map of the target track can be constructed and obtained based on the time-frequency energy of a plurality of position points on the target track; and then, whether the track slab is deformed or not can be detected and judged more accurately and efficiently according to the time-frequency energy value distribution diagram of the target track.
In some embodiments, after determining that there is track slab deformation on the target track, when the method is implemented, the following may be further included:
s1: determining a position point, which is larger than a preset energy threshold value, of the energy value corresponding to the target characteristic wavelength in the time-frequency energy from the target track, and taking the position point as a deformation position point;
s2: and generating maintenance prompt information aiming at the deformation position points.
Through the embodiment, under the condition that the track slab deformation exists on the target track, the position point where the track slab deformation exists can be further determined as the deformation position point; and then the specific position information of the deformation position point can be obtained and determined according to the distance between the deformation position point and the initial position point. And generating maintenance prompt information about the deformation position point by combining the specific position information of the deformation position point. Furthermore, the maintenance prompt information can be transmitted to a track maintenance worker in a short message or voice broadcast mode, so that the track maintenance worker can go to a corresponding position to perform targeted maintenance and repair on the deformation position point with the track slab deformation according to the maintenance prompt information, potential safety hazards caused by the track slab deformation can be eliminated in time, and the running safety of the train on the target track is protected.
As can be seen from the above, based on the method for detecting track slab deformation provided in the embodiments of the present specification, track irregularity detection data of a plurality of position points spaced at a certain distance on a target track to be detected may be obtained first; according to a preset processing rule, performing time-frequency analysis processing by using the track height irregularity detection data of the position points to obtain time-frequency energy of the position points on the target track; and then whether the track slab deformation exists on the target track can be determined according to the time-frequency energy of a plurality of position points on the target track. Therefore, the detection flow can be effectively simplified, whether the track slab deformation exists on the target track or not can be accurately and efficiently detected and determined, the detection cost is reduced, and the detection efficiency is improved. Under the condition that the deformation of the track slab exists on the target track, further, a deformation position point where the deformation of the track slab exists can be positioned on the target track; and then the targeted maintenance processing can be carried out on the deformation position points, so that the potential safety hazard caused by the deformation of the track slab on the target track can be eliminated in time, and the running safety of the train on the target track is protected.
In a specific example of a scenario, the track slab deformation detection method provided in the embodiment of the present specification may be applied to perform track slab deformation detection on a track (i.e., a target track) in a road segment between 84.7 km and 84.8 km away from a starting position point in a certain area in months 6 and 12.
Specifically, in 6 months, track irregularity detection data of a plurality of position points are acquired at equal intervals of 0.25m (for example, a preset distance); according to a preset processing rule, performing time-frequency analysis processing by using the track height irregularity detection data of the position points to obtain time-frequency energy of the position points; and then constructing a time-frequency energy distribution map of the road section according to the time-frequency energy of the plurality of position points. In particular, as shown in fig. 2.
According to the time-frequency energy distribution diagram of 6 months, the following results are obtained: the time-frequency energy of the track irregularity in the frequency range corresponding to the wavelength range of 5m to 6.5m (e.g., the target characteristic wavelength) is 0.1, and all of the time-frequency energy is smaller than the significance threshold 0.2 (e.g., the preset energy threshold) of the time-frequency energy. Therefore, it can be determined that the track of the road section has no deformation of the track plate for 6 months.
Similarly, in 12 months, the track height irregularity detection data of a plurality of position points are acquired at equal intervals of 0.25 m; according to a preset processing rule, performing time-frequency analysis processing by using the track height irregularity detection data of the position points to obtain time-frequency energy of the position points; and then constructing a time-frequency energy distribution map of the road section according to the time-frequency energy of the plurality of position points. As can be seen in particular in fig. 3.
According to the time-frequency energy distribution graph of 12 months, the following results are obtained: the time-frequency energy of the track height irregularity in the frequency interval corresponding to the wavelength range of 5 m-6.5 m is more than 0.2. For example, the time-frequency energy corresponding to a characteristic wavelength of 5.35m reaches even 0.5. Therefore, it can be determined that the track of the section of road has the track slab deformation for 12 months.
In order to protect the transportation safety of the track of the road section, maintenance prompt information about the position of the road section can be generated and sent to the track maintenance personnel. And the maintainer responds and goes to the road section to carry out on-site rechecking inspection according to the maintenance prompt information, and confirms that the track slab serving as the upper layer structure of the roadbed generates follow-up deformation due to frost heaving deformation of the roadbed in the section in winter, so that the track of the road section can be maintained in a targeted manner to eliminate potential safety hazards.
Through the scene example, it is verified that the detection method for the track slab deformation provided by the embodiment of the specification can actually simplify the detection process effectively, accurately and efficiently detect and determine whether the track slab deformation exists on the target track, reduce the detection cost and improve the detection efficiency; and moreover, a deformation position point with the track slab deformation can be further accurately positioned on the target track, so that the deformation position point is maintained in a targeted manner, and potential safety hazards are eliminated.
An embodiment of the present specification further provides an electronic device, including a processor and a memory for storing processor-executable instructions, where the processor, when implemented, may perform the following steps according to the instructions: acquiring track height irregularity detection data of a plurality of position points on a target track; according to a preset processing rule, performing time-frequency analysis processing by using the track height irregularity detection data of the position points to obtain time-frequency energy of the position points on the target track; and determining whether the track slab deformation exists on the target track or not according to the time-frequency energy of the plurality of position points on the target track.
In order to more accurately complete the above instructions, referring to fig. 4, another specific electronic device is provided in the embodiments of the present specification, wherein the electronic device includes a network communication port 401, a processor 402, and a memory 403, and the structures are connected by an internal cable, so that the structures may perform specific data interaction.
The network communication port 401 may be specifically configured to acquire track irregularity detection data of a plurality of location points on a target track.
The processor 402 may be specifically configured to perform time-frequency analysis processing by using the track irregularity detection data of the plurality of position points according to a preset processing rule, so as to obtain time-frequency energy of the plurality of position points on the target track; and determining whether the track slab deformation exists on the target track or not according to the time-frequency energy of the plurality of position points on the target track.
The memory 403 may be specifically configured to store a corresponding instruction program.
In this embodiment, the network communication port 401 may be a virtual port that is bound to different communication protocols, so that different data can be sent or received. For example, the network communication port may be a port responsible for web data communication, a port responsible for FTP data communication, or a port responsible for mail data communication. In addition, the network communication port can also be a communication interface or a communication chip of an entity. For example, it may be a wireless mobile network communication chip, such as GSM, CDMA, etc.; it can also be a Wifi chip; it may also be a bluetooth chip.
In this embodiment, the processor 402 may be implemented in any suitable manner. For example, the processor may take the form of, for example, a microprocessor or processor and a computer-readable medium that stores computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, an embedded microcontroller, and so forth. The description is not intended to be limiting.
In this embodiment, the memory 403 may include multiple layers, and in a digital system, the memory may be any memory as long as binary data can be stored; in an integrated circuit, a circuit without a physical form and with a storage function is also called a memory, such as a RAM, a FIFO and the like; in the system, the storage device in physical form is also called a memory, such as a memory bank, a TF card and the like.
The present specification further provides a computer readable storage medium based on the above-mentioned track slab deformation detection method, where the computer readable storage medium stores computer program instructions, and when the computer program instructions are executed, the computer program instructions implement: acquiring track height irregularity detection data of a plurality of position points on a target track; according to a preset processing rule, performing time-frequency analysis processing by using the track height irregularity detection data of the position points to obtain time-frequency energy of the position points on the target track; and determining whether the track slab deformation exists on the target track or not according to the time-frequency energy of the plurality of position points on the target track.
In this embodiment, the storage medium includes, but is not limited to, a Random Access Memory (RAM), a Read-Only Memory (ROM), a Cache (Cache), a Hard Disk Drive (HDD), or a Memory Card (Memory Card). The memory may be used to store computer program instructions. The network communication unit may be an interface for performing network connection communication, which is set in accordance with a standard prescribed by a communication protocol.
In this embodiment, the functions and effects specifically realized by the program instructions stored in the computer-readable storage medium can be explained in comparison with other embodiments, and are not described herein again.
Referring to fig. 5, in terms of software, the embodiment of the present disclosure further provides a device for detecting track slab deformation, where the device may specifically include the following structural modules:
the obtaining module 501 may be specifically configured to obtain track irregularity detection data of a plurality of position points on a target track;
the processing module 502 may be specifically configured to perform time-frequency analysis processing by using the track irregularity detection data of the plurality of position points according to a preset processing rule, so as to obtain time-frequency energy of the plurality of position points on the target track;
the determining module 503 may be specifically configured to determine whether there is track slab deformation on the target track according to the time-frequency energy of the multiple position points on the target track.
In some embodiments, when the obtaining module 501 is implemented, the track irregularity detection data of a plurality of position points on the target track may be obtained as follows: controlling a track inspection vehicle or a comprehensive detection train to run along a target track; and in the running process, the track inspection vehicle or the comprehensive detection train is controlled to acquire track irregularity detection data of one position point on the target track at preset distances so as to obtain the track irregularity detection data of a plurality of position points on the target track.
In some embodiments, when the processing module 502 is implemented, the time-frequency energy of a plurality of position points on the target track may be calculated as follows: according to a preset processing rule, carrying out preset short-time Fourier transform on the track height irregularity detection data of the plurality of position points to obtain transformed target data; and calculating a square value of the transformed target data to obtain time-frequency energy of a plurality of position points on the target track.
In some embodiments, when the determining module 503 is implemented, it may determine whether there is deformation of the track slab on the target track according to the following manner: detecting whether energy values corresponding to target characteristic wavelengths in time-frequency energy of a plurality of position points on the target track are larger than a preset energy threshold value or not; and under the condition that the energy value corresponding to the target characteristic wavelength in the time-frequency energy of at least one position point in the plurality of position points on the target track is determined to be larger than a preset energy threshold, determining that the track slab deformation exists on the target track.
In some embodiments, the target characteristic wavelength may be determined in particular according to the length of the track slab.
In some embodiments, when the apparatus is implemented, the apparatus may be further configured to determine, from the target trajectory, a position point, where an energy value corresponding to a target characteristic wavelength in time-frequency energy is greater than a preset energy threshold, as a deformation position point; and generating maintenance prompt information aiming at the deformation position points.
It should be noted that, the units, devices, modules, etc. illustrated in the above embodiments may be implemented by a computer chip or an entity, or implemented by a product with certain functions. For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. It is to be understood that, in implementing the present specification, functions of each module may be implemented in one or more pieces of software and/or hardware, or a module that implements the same function may be implemented by a combination of a plurality of sub-modules or sub-units, or the like. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
As can be seen from the above, based on the time-frequency energy of the plurality of position points on the target track provided by the embodiments of the present specification, the detection process can be effectively simplified, whether the track slab deformation exists on the target track can be accurately and efficiently detected and determined, the detection cost is reduced, and the detection efficiency is improved; and when the deformation of the track slab on the target track is determined, a deformation position point with the track slab deformation can be further positioned on the target track, and further targeted maintenance processing can be performed on the deformation position point, so that potential safety hazards caused by the track slab deformation on the target track are eliminated, and the running safety of the train on the target track is protected.
Although the present specification provides method steps as described in the examples or flowcharts, additional or fewer steps may be included based on conventional or non-inventive means. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When an apparatus or client product in practice executes, it may execute sequentially or in parallel (e.g., in a parallel processor or multithreaded processing environment, or even in a distributed data processing environment) according to the embodiments or methods shown in the figures. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded. The terms first, second, etc. are used to denote names, but not any particular order.
Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may therefore be considered as a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, classes, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer-readable storage media including memory storage devices.
From the above description of the embodiments, it is clear to those skilled in the art that the present specification can be implemented by software plus necessary general hardware platform. With this understanding, the technical solutions in the present specification may be essentially embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a mobile terminal, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments in the present specification.
The embodiments in the present specification are described in a progressive manner, and the same or similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. The description is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
While the specification has been described with examples, those skilled in the art will appreciate that there are numerous variations and permutations of the specification that do not depart from the spirit of the specification, and it is intended that the appended claims include such variations and modifications that do not depart from the spirit of the specification.
Claims (10)
1. A method for detecting deformation of a track slab is characterized by comprising the following steps:
acquiring track height irregularity detection data of a plurality of position points on a target track;
according to a preset processing rule, performing time-frequency analysis processing by using the track height irregularity detection data of the position points to obtain time-frequency energy of the position points on the target track;
and determining whether the track slab deformation exists on the target track or not according to the time-frequency energy of the plurality of position points on the target track.
2. The method of claim 1, wherein obtaining track irregularity detection data for a plurality of location points on the target track comprises:
controlling a track inspection vehicle or a comprehensive detection train to run along a target track; and in the running process, the track inspection vehicle or the comprehensive detection train is controlled to acquire track irregularity detection data of one position point on the target track at preset distances so as to obtain the track irregularity detection data of a plurality of position points on the target track.
3. The method of claim 1, wherein obtaining the time-frequency energy of the plurality of location points on the target track by performing time-frequency analysis processing on the track irregularity detection data of the plurality of location points according to a preset processing rule comprises:
according to a preset processing rule, carrying out preset short-time Fourier transform on the track height irregularity detection data of the plurality of position points to obtain transformed target data;
and calculating a square value of the transformed target data to obtain time-frequency energy of a plurality of position points on the target track.
4. The method of claim 3, wherein performing a predetermined short-time Fourier transform on the track irregularity detection data of the plurality of location points according to a predetermined processing rule comprises:
performing a preset short-time Fourier transform according to the following equation:
wherein N is a number of position points spaced apart from the start position point by a corresponding distance, N is a total number of the position points, m is a position point variable, x [ m ] is track irregularity detection data of the corresponding position point, k is a variable corresponding to a frequency, and g () represents a preset window function.
5. The method of claim 1, wherein determining whether there is track slab deformation in the target track based on the time-frequency energy of the plurality of location points in the target track comprises:
detecting whether energy values corresponding to target characteristic wavelengths in time-frequency energy of a plurality of position points on the target track are larger than a preset energy threshold value or not;
and under the condition that the energy value corresponding to the target characteristic wavelength in the time-frequency energy of at least one position point in the plurality of position points on the target track is determined to be larger than a preset energy threshold, determining that the track slab deformation exists on the target track.
6. The method of claim 5, wherein the target characteristic wavelength is determined from a length of a track plate.
7. The method of claim 5, wherein after determining that there is track slab deformation on the target track, the method further comprises:
determining a position point, which is larger than a preset energy threshold value, of the energy value corresponding to the target characteristic wavelength in the time-frequency energy from the target track, and taking the position point as a deformation position point;
and generating maintenance prompt information aiming at the deformation position points.
8. A rail plate deformation detection device, comprising:
the system comprises an acquisition module, a detection module and a control module, wherein the acquisition module is used for acquiring track height irregularity detection data of a plurality of position points on a target track;
the processing module is used for carrying out time-frequency analysis processing by utilizing the track height irregularity detection data of the position points according to a preset processing rule to obtain time-frequency energy of the position points on the target track;
and the determining module is used for determining whether the track slab deformation exists on the target track according to the time-frequency energy of the plurality of position points on the target track.
9. An electronic device comprising a processor and a memory for storing processor-executable instructions which, when executed by the processor, implement the steps of the method of any one of claims 1 to 7.
10. A computer-readable storage medium having stored thereon computer instructions which, when executed, implement the steps of the method of any one of claims 1 to 7.
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