CN110409234B - Dynamic detection method and device for smoothness of high-speed railway steel rail - Google Patents
Dynamic detection method and device for smoothness of high-speed railway steel rail Download PDFInfo
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Abstract
The application provides a dynamic detection method and a dynamic detection device for the smoothness of a high-speed railway steel rail, wherein the method comprises the following steps: acquiring a vibration acceleration value of a vehicle body; acquiring a peak value of a vibration acceleration value of the vehicle body in a preset mileage section, and judging the irregularity grade of the track line according to the peak value; acquiring a vehicle body vibration acceleration power spectrum density curve according to the acquired vehicle body vibration acceleration value, and performing line irregularity power spectrum analysis according to the curve; and carrying out coherent analysis on the vibration acceleration value of the vehicle body and the rail irregularity by using a coherent function. The method and the device realize high-frequency and full-coverage comprehensive dynamic irregularity detection, reduce the omission factor by adopting a time domain and frequency domain combined calculation method, eliminate individual abnormal data by using a correction model, and improve the detection accuracy and detection efficiency by adopting a power spectral density and coherence analysis method.
Description
Technical Field
The application relates to the technical field of railway steel rail detection, in particular to a dynamic detection method and device for smoothness of a high-speed railway steel rail.
Background
At present, the detection of the irregularity of the track has very important significance for controlling the smooth state of the track and guaranteeing the driving safety. Along with railway transportation constantly develops towards high speed, heavy load and high density direction, dynamic action reinforcing between the wheel rail, and track state change cycle shortens, and then arouses vehicle track vibration aggravation, and the vehicle comfort level of taking reduces, consequently, has proposed higher requirement to the monitoring and the management and control of track irregularity.
At present, the irregularity detection of the high-speed railway line is divided into static detection and dynamic detection.
Static detection refers to directly measuring the geometric dimension of a steel rail on a line, and adopts a manual detection method, including detection by using a traditional track gauge, a pull rope and a cushion block, and also including detection on the track by manually operating a rail detection trolley. The disadvantages of static detection include: only a few kilometers of lines can be detected at one time, the detection efficiency is low, and real-time detection cannot be achieved.
The dynamic detection process is influenced by the production cost and the running cost of the vehicle, the special rail inspection vehicle and the special dynamic inspection vehicle detect once a month, and all-weather dynamic monitoring cannot be achieved. The vehicle-mounted line inspection instrument can continuously detect lines, but the vehicle-mounted line inspection instrument which operates at present can only detect and transmit peak data due to the limitation of the processing capacity and the communication technical condition of a microprocessor, and cannot meet the requirements of high-density acquisition and high-speed transmission under the high-speed operation of 350km/h, a large amount of original data which does not reach an alarm threshold are discarded due to the limitation of transmission bandwidth, and the comprehensive analysis of all detection data cannot be realized.
The traditional vehicle-mounted line detection product only focuses on acceleration peak detection in a time domain, but has poor detection effect on long wave irregularity of a train with the running speed of 300km/h or more on a high-speed line; some research projects can realize data analysis of the frequency domain only by using a method of real-time collection and post-processing by using a computer after dumping to the ground, and the processing efficiency is low.
The traditional vehicle-mounted line inspection equipment only uploads alarm point data, the data transmission quantity is small, the information quantity is small, the line smoothness is evaluated by simply using the vibration acceleration value of the vehicle body, and a plurality of long-wave irregularities can be missed. The track smoothness detection accuracy is poor.
Disclosure of Invention
The method realizes high-frequency and full-coverage comprehensive dynamic irregularity detection, reduces the omission ratio by adopting a time domain and frequency domain combined calculation method, eliminates individual abnormal data by using a correction model, and improves the detection accuracy and detection efficiency by adopting a power spectral density and coherence analysis method.
In order to achieve the above object, the present application provides a method for dynamically detecting the smoothness of a high-speed railway steel rail, which comprises: acquiring a vibration acceleration value of a vehicle body; acquiring a peak value of a vibration acceleration value of the vehicle body in a preset mileage section, and judging the irregularity grade of the track line according to the peak value; acquiring a power spectrum density curve of the vibration acceleration of the vehicle body according to the acquired vibration acceleration value of the vehicle body, and analyzing a power spectrum of the line irregularity according to the curve; and carrying out coherent analysis on the vibration acceleration value of the vehicle body and the rail irregularity by using a coherent function.
As above, wherein obtaining the vehicle body vibratory acceleration value comprises obtaining a vehicle body lateral vibratory acceleration value in a vehicle body horizontal direction and a vehicle body vertical vibratory acceleration value in a vehicle body vertical direction.
The method comprises the steps of utilizing the established vehicle body acceleration data correction model to convert the vehicle body vibration acceleration value, and eliminating the influence data of the vehicle body vibration on the vehicle body vibration acceleration value.
As above, the method for calculating the power spectral density of the vehicle body vibration acceleration comprises the following steps:
taking a plurality of continuously acquired vehicle body vibration acceleration values as a sequence x (n), and carrying out Fourier transform on the sequence x (n);
and taking the square of the amplitude after Fourier transform of the sequence x (N) and dividing the square by N to be used as the power spectral density of the sequence x (N), wherein N is the number of the acquired vibration acceleration values of the vehicle body.
As above, wherein the coherence function is defined as:
wherein the content of the first and second substances,
represents: cross-spectra of system inputs and outputs; gx(f) Represents: a single-sided spectrum of system inputs; gy(f) Represents: a single-sided spectrum of system output;
represents: a coherence function.
The utility model provides a detection apparatus for high-speed railway track smoothness, includes automobile body acceleration sensor and communication main control board, automobile body acceleration sensor with the communication main control board passes through the bus communication and connects, the communication main control board has sensor communication interface, automobile body acceleration sensor has the mainboard interface, sensor communication interface with the mainboard interface passes through the bus and links to each other.
As above, the communication main control board and the background data server are in communication connection by using a 4G network transmission channel.
As above, the communication main control board further includes an onboard digital encryption chip, and the onboard digital encryption chip is used for encrypting the transmitted data.
As above, the vehicle body acceleration sensor includes a sensor microprocessor, the sensor microprocessor is a high-speed processor with a floating point operation function, and the sensor microprocessor is matched with a digital signal processing library to analyze and calculate the detection data of the vehicle body acceleration sensor from a time domain to a frequency domain.
The vehicle body acceleration sensor comprises two low-frequency moving-coil magnetoelectric accelerometers, wherein one of the two low-frequency moving-coil magnetoelectric accelerometers is a horizontal accelerometer, and the horizontal accelerometer is arranged in the horizontal direction of a vehicle body and used for detecting the vibration acceleration value of the vehicle body in the horizontal direction; and the other is a vertical accelerometer which is arranged in the vertical direction of the vehicle body and is used for detecting vehicle body vibration acceleration data in the vertical direction of the vehicle body.
The beneficial effect that this application realized is as follows:
(1) the method and the device for detecting the irregularity state of the track line in real time in the running process of the motor train unit can effectively detect the irregularity state of the short wave large value and the long wave small value of the high-speed line. Specifically, the method and the device obtain a time domain signal peak value of the vibration acceleration of the vehicle body, wherein the peak value reflects the short wave irregularity state of the track; and acquiring a vibration acceleration power spectrum of the vehicle body to reflect the rail long wave irregularity state.
(2) The method and the device convert the calculation result of the power spectrum density of the vibration acceleration of the vehicle body into the acceleration for displaying, can manage the detection data according to the standard technical conditions, ensure the practicability of data application, and take the pertinence of field inspection into consideration.
(3) According to the method, the time domain and the frequency domain are simultaneously calculated, the missing rate of detection is reduced, the 4G network transmission and the background big data comparison are adopted, the emergency situation on the line can be timely mastered, individual abnormal data can be eliminated through comparison and analysis, and the detection accuracy is improved.
(4) The vehicle body structure is simple and convenient to install, the existing vehicle body structure is not changed, and no safety risk exists in operation.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art according to the drawings.
FIG. 1 is a flow chart of a dynamic detection method for the smoothness of a high-speed railway steel rail according to the invention.
FIG. 2 is an installation diagram of the dynamic detection device for the smoothness of the high-speed railway steel rail of the invention.
FIG. 3 is a schematic diagram of the hardware components of a communication main control board of the dynamic detection device for the smoothness of the steel rails of the high-speed railway according to the present invention.
FIG. 4 is a schematic diagram of the hardware components of the car acceleration sensor of the dynamic detection device for the smoothness of the rails of the high-speed railway.
FIG. 5 is a schematic diagram of data communication flow of the dynamic detection device for detecting the smoothness of a high-speed railway steel rail according to the present invention.
FIG. 6 is a flowchart of a method for acquiring detection data by the vehicle body acceleration sensor according to the present invention.
Reference numerals: 1-a vehicle body acceleration sensor and 2-a communication main control board; 3-a motor train unit electrical cabinet; 4-DMS box; 5-a carriage floor; 6-background data server; 21-a bluetooth module; 22-onboard 4G module; 23-a sensor communication interface; 24-a high speed core processor; 25-an onboard digital encryption chip; 26-locomotive power supply filtering and protecting circuit; 27-DMS box interface; 28-power conversion circuit; 29-mass data storage; 30-mass run memory; 31-a motherboard interface; 32-a sensor microprocessor; 33-analog-to-digital conversion acquisition circuitry; 34-an analog integration filter circuit; 35-a vertical accelerometer; 36-horizontal accelerometer.
Detailed Description
The technical solutions in the embodiments of the present application are clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Example one
As shown in fig. 1, a dynamic detection method for the smoothness of a high-speed railway steel rail comprises the following steps: the method comprises the following steps:
step S0: and establishing a vehicle body acceleration data correction model.
Specifically, in the initial test stage of the system, a vehicle body acceleration data correction model is established by collecting a large amount of measured data and combining the dynamic characteristics of the motor train unit according to different vehicle types, vehicle conditions, vehicle speeds and installation positions. The vehicle body acceleration data correction model is used for eliminating the influence of the vibration of the vehicle body on the vehicle body acceleration value, so that the acquired vehicle body acceleration value can reflect the state of the track line more truly.
And step S1, acquiring a vibration acceleration value of the vehicle body.
In the running process of the system, a vehicle body acceleration sensor collects the vibration acceleration value of the vehicle body in real time; specifically, the vehicle body vibration acceleration value includes a vehicle body lateral vibration acceleration value in the vehicle body horizontal direction and a vehicle body vertical vibration acceleration value in the vehicle body vertical direction.
Respectively collecting vibration signals in the horizontal vibration direction and the vertical vibration direction of the vehicle body; the vibration signal is output in the form of an alternating voltage signal, and the magnitude of the alternating voltage signal is in a direct proportion relation with the vibration acceleration of the vehicle body.
The alternating voltage signal enters an analog-to-digital converter of the high-speed microprocessor after being subjected to integration, amplification and filtering, and the analog signal is converted into a digital signal. Preferably, full-wave analog-to-digital conversion is carried out on alternating-current voltage signals within +/-10V, signal sensitivity is effectively improved, and particularly, the detection effect on low-frequency small-value horizontal shaking is obviously improved.
Preferably, the vehicle body vibration acceleration value is converted by using the vehicle body acceleration data correction model established in the step S0, and the influence data of the vehicle body vibration on the vehicle body vibration acceleration value is eliminated, so as to obtain the vehicle body vibration acceleration value reflecting the track line irregularity.
According to the principle that the vibration frequency of the vehicle body caused by the vibration of the vehicle body is different from the vibration frequency of the vehicle body caused by the irregularity of the track, the influence data of the vibration acceleration value of the vehicle body caused by the vibration of the vehicle body is eliminated through the vehicle acceleration correction model, and only the data of the vibration acceleration of the vehicle body when the track is not smooth is kept.
And step S2, obtaining the peak value of the vibration acceleration value of the vehicle body in the preset mileage section, and judging the irregularity grade of the track line according to the peak value.
And taking the maximum value in the vehicle body vibration acceleration values obtained in the step S1 in the set mileage section as the peak value of the vehicle body vibration acceleration, wherein the peak value is the time domain signal peak value of the vehicle body vibration acceleration.
The peak value of the time domain signal of the vibration acceleration of the vehicle body is the maximum acceleration value generated by the track line irregularity, and the maximum acceleration value is compared with a preset threshold value of the grade of the track irregularity, so that the grade of the track irregularity is judged according to a preset grade standard.
The method for taking the peak value of the vibration acceleration of the vehicle body effectively detects short wave and large value irregularity on a line.
According to a specific embodiment of the invention, the method for acquiring the peak value of the vehicle body vibration acceleration value in the preset time period comprises the following steps:
setting a mileage section for acquiring the vibration acceleration value of the vehicle body and setting an acquisition time interval;
comparing the vibration acceleration value of the vehicle body acquired at the first moment with the vibration acceleration value of the vehicle body acquired at the next moment, and selecting a larger value as the peak value of the vibration acceleration value of the vehicle body; wherein the next moment is the first moment plus a time interval value;
comparing the peak value with the vibration acceleration value of the vehicle body collected at the next moment, and selecting the larger one as the peak value of the vibration acceleration of the vehicle body; wherein, the next moment is the first moment plus two time interval values;
according to the method, the peak value of the vibration acceleration value of the vehicle body in the set mileage section is obtained.
In the specific implementation process, preferably, one vehicle body vibration acceleration value is acquired in 0.5ms, the acquired vehicle body vibration acceleration value is compared with the next vehicle body vibration acceleration value acquired in 0.5ms, a larger vehicle body vibration acceleration value is reserved as the peak value of the vehicle body vibration acceleration value, and the peak value of the vehicle body vibration acceleration value acquired within 30 m distance is acquired according to the comparison method. And setting to collect the vibration acceleration values of the vehicle body for 1000 times within 30 meters, wherein the peak value of the vibration acceleration values of the vehicle body which is reserved finally is the maximum value of the vibration acceleration values of the vehicle body which is collected for 1000 times.
And step S3, acquiring a vehicle body vibration acceleration power spectrum density curve according to the acquired vehicle body vibration acceleration value, performing line irregularity power spectrum analysis according to the curve, and judging the track irregularity condition according to the curve. Long wave irregularity sections on the track line are analyzed.
Specifically, step S3 includes: converting the acquired vibration acceleration value of the vehicle body from a time domain to a frequency domain, and calculating power spectral density;
and judging the irregularity state of the track line according to the calculated power spectral density, and determining the magnitude of the vibration acceleration value of the vehicle body.
According to an embodiment of the invention, the method for calculating the power spectral density of the vibration acceleration of the vehicle body comprises the following steps: the method comprises the steps of converting vibration acceleration of a vehicle body (calculated in horizontal and vertical directions respectively) into digital signals through AD (analog-digital), taking N data of a data sequence x (N) acquired continuously by 200 meters as an energy-limited sequence (sampling is carried out once at an interval of 0.5ms, and according to different vehicle speeds and different numerical values of N), directly calculating discrete Fourier transform of x (N) to obtain X (k), and then taking the square of the amplitude value of the X (N) and dividing the square by N to be used as estimation of a real power spectrum of the sequence x (N), wherein N is the number of the acquired vibration acceleration values of the vehicle body.
Specifically, the continuous signal output by the vehicle body acceleration sensor is AD converted to obtain a discrete signal,
fourier transform is carried out on the discrete data after AD conversion, and the calculation formula is as follows:
The power spectral density formula is calculated as follows:
For example, if a fourier transform is performed on 2000 points acquired within 1 second, then a sequence of 2000 points is generated.
When analog data are placed in an array during calculation, discrete data after Fourier transformation and power spectrum density are automatically generated, and the size of n is selected, namely how many data are selected to participate in calculation.
The power spectrogram is a continuous curve with spatial frequency or wavelength as an abscissa and power spectral density value as an ordinate, and can clearly represent the wavelength and amplitude information of the track irregularity random wave. The smaller the area under the power spectrum curve is, the smaller the mean square value of the track irregularity is, and the better the smooth state is.
The rail irregularity is a random function which changes along with the mileage, and the random vibration response of the vehicle rail is analyzed under the action of various irregularities, so that the detection accuracy is improved.
And step S4, carrying out coherent analysis on the vibration acceleration value of the vehicle body and the irregularity of the rail by using a coherent function.
The coherence function reflects the degree of correlation between two signals from the frequency domain range and is used to evaluate the causality between the input signal and the output signal in the test system, i.e. how much of the power spectrum of the output signal is due to the input signal under test. The magnitude of each input contribution to the output is determined by the coherence function, and the primary and secondary sources of vibration at that frequency are determined to determine the input that affects the vibration.
The coherent analysis method can better obtain the influence rule of the random irregularity of the track on the vibration of the vehicle body, obtain the area of obvious coherence between the vibration acceleration of the vehicle body and the irregularity of the track by utilizing coherent analysis, and determine the influence of various wave lengths of the irregularity of the track on the vibration acceleration of the vehicle body in the area. And determining the track irregularity state corresponding to the site by combining the analysis of the vibration acceleration power spectrum of the vehicle body.
According to one embodiment of the present invention, the coherence function is defined as:
wherein the content of the first and second substances,
represents: cross-spectra of system inputs and outputs; gx(f) Represents: a single-sided spectrum of system inputs; gy(f) Represents: a single-sided spectrum of system output;
represents: a coherence function.
According to one embodiment of the invention, the track irregularity factor is taken as the system input to the coherence function, i.e. as Gx(f) (ii) a System output using vehicle body vibration acceleration value as coherent function, i.e. as Gy(f) In that respect For example, the track irregularity factors include track gauge, direction, level, height, and the like.
Coherent analysis may determine a causal relationship between output response and input stimuli within a certain frequency band. If at a certain frequency
The response and excitation are not coherent at this frequency; if it is
The response is completely coherent with the excitation at this frequency, i.e. the response is completely caused by the excitation. Under normal circumstances
Indicating that the input and output are partially coherent. The method is characterized in that the track irregularity and the vertical and lateral vibration acceleration of the vehicle caused by the track irregularity are analyzed by adopting a coherence theory, and the coherence degree of the vibration of the vehicle and the track irregularity is researched make internal disorder or usurp, so that the irregularity wavelength range is determined to have the largest influence on the vibration of the vehicle. By finding out the coherent function, the contribution of each input to the output can be obtained, and further the main vibration source, the secondary vibration source and the like under the frequency can be obtained, and finally the main input and the like influencing the vibration can be determined. The influence of the rail irregularity on the response of a vehicle system is analyzed by calculating the coherent functions of the transverse and vertical vibration acceleration of the vehicle body and the rail track gauge, direction, level and height irregularity of the rail.
The method and the device convert the calculation result of the power spectrum density of the vibration acceleration of the vehicle body into the acceleration for displaying, can manage the detection data according to the standard technical conditions, ensure the practicability of data application, and take the pertinence of field inspection into consideration.
As shown in fig. 6, a flow chart of a method for acquiring detection data for a vehicle body acceleration sensor is shown.
The method for acquiring the detection data by the vehicle body acceleration sensor comprises the following steps:
s600, self-calibration of a vehicle body acceleration sensor; specifically, a special standard device is used for determining the input-output conversion relation of the sensor; the accurate transmission of the quantity value is ensured;
s601, judging whether the calibration of the vehicle body acceleration sensor is normal, if not, uploading sensor fault information, and if so, executing the next step;
s602, regularly interrupting sampling by the vehicle body acceleration sensor;
s603, judging whether the vibration acceleration value of the vehicle body to be processed exists, if so, executing S604, otherwise, executing the step S603;
s604, calculating a vibration acceleration peak value of the vehicle body;
s605, calculating a vibration acceleration power spectrum of the vehicle body;
s606, judging whether the vibration acceleration data of the vehicle body is to be uploaded, if so, executing the step S607, otherwise, terminating the execution;
and S607, uploading the detection data of the vehicle body acceleration sensor.
Example two
A dynamic detection device for the smoothness of a high-speed railway steel rail comprises:
as shown in fig. 2, 3 and 4, the vehicle body acceleration sensor 1 and the communication main control board 2 are connected through the CAN bus. The communication main control board 2 is provided with a sensor communication interface 23, the vehicle body acceleration sensor 1 is provided with a main board interface 31, and the sensor communication interface 23 is connected with the main board interface 31 through a CAN bus so as to realize the communication connection between the vehicle body acceleration sensor 1 and the communication main control board 2.
The vehicle body acceleration sensor 1 is used for acquiring a vehicle body vibration acceleration value, shaping and filtering a vehicle body vibration acceleration signal, and performing analog-to-digital conversion on the vehicle body vibration acceleration signal to acquire vehicle body vibration acceleration peak data; and acquiring the power spectrum data of the vibration acceleration of the vehicle body.
Specifically, the vehicle body acceleration sensor 1 includes two low-frequency moving-coil magnetoelectric accelerometers, as shown in fig. 4, one of which is a horizontal accelerometer 36, and is installed in the horizontal direction of the vehicle body for detecting the vibration acceleration value in the horizontal direction of the vehicle body; and the other is a vertical accelerometer 35 which is installed in the vertical direction of the vehicle body and is used for detecting vehicle body vibration acceleration data in the vertical direction of the vehicle body. In the running process of the motor train unit, when a train body shakes due to the fact that a track line is not smooth in the horizontal direction or the vertical direction, the low-frequency moving-coil type magnetoelectric accelerometer outputs an alternating-current voltage signal, and the alternating-current voltage signal is in direct proportion to the magnitude of the vibration acceleration value of the train body.
As shown in fig. 4, the vehicle body acceleration sensor 1 further includes an analog integration filter circuit 34, an analog-to-digital conversion acquisition circuit 33, a power conversion circuit 28, a sensor microprocessor 32, a mass operation memory 30, and a mass data memory 29.
And the analog integration filter circuit 34 is used for integrating, amplifying and filtering the acquired vehicle body vibration acceleration signals.
And the sensor microprocessor 32 is used for converting the analog signals processed by the analog integration filter circuit into digital signals.
The sensor microprocessor 32 is externally connected with an AD (analog-to-digital conversion) chip, the AD chip can perform full-wave analog-to-digital conversion on detection signals within +/-10V, the signal sensitivity is effectively improved, and particularly the detection effect on low-frequency small-value horizontal shaking is obviously improved.
The sensor microprocessor 32 selects a high-speed processor with a floating point operation function, and can convert the detected vehicle body vibration acceleration data from a time domain to a frequency domain in real time in the vehicle body acceleration sensor 1 to perform analysis and calculation by matching with a DSP (digital signal processing) library, and the vehicle body vibration acceleration data does not need to be dumped outside the vehicle body acceleration sensor 1 and then is subjected to post-processing by a computer, so that the processing efficiency of the detected data is improved.
The high-speed full-peak digital acquisition circuit is used for acquiring the peak value of a vehicle body vibration acceleration time domain signal, and the peak value reflects the track short wave irregularity condition.
And the sensor microprocessor 32 is used for converting the acquired time domain signal of the vibration acceleration of the vehicle body into a frequency domain signal and calculating power spectrum data of the vibration acceleration of the vehicle body so as to reflect the rail long wave irregularity condition.
As shown in fig. 3, the communication main control board 2 is installed in a spare slot of a DMS (train control dynamic monitoring system) box, and the communication main control board 2 has a DMS box interface 27, and the DMS box interface 27 includes a power interface and a data interface. The communication main control board 2 is connected with the DMS box 4 through a power line at a power interface, so that a direct current 110V power supply is obtained from the DMS box 4, and the obtained power supply is provided for the communication main control board 2 and the vehicle body acceleration sensor 1 after being subjected to voltage reduction.
The communication main control board 2 is in communication connection with the DMS box 4 through an RS485 communication line at a data interface so as to monitor running data of the motor train unit sent by the DMS and acquire key information including time, vehicle type, vehicle number, mileage, vehicle speed and the like, and the communication main control board 2 integrates and packs the acquired key information, vehicle body vibration acceleration peak data detected by the vehicle body acceleration sensor 1 and vehicle body vibration acceleration power spectrum density data.
As shown in fig. 3, an onboard digital encryption chip 25 and/or an onboard 4G module 22 (fourth generation communication module) are further disposed on the communication main control board 2, and the onboard 4G module 22 is in communication connection with the background data server 6.
And the onboard digital encryption chip 25 is used for encrypting the packaged data and preventing the detection data from being stolen in the transmission process. Specifically, the on-board digital encryption chip 25 encrypts and decrypts the uploaded and downloaded information stream, and the security level can reach the requirement of EAL5 +.
And the onboard 4G module 22 is used for transmitting the encrypted data to the background data server 6 so as to timely send the detection data of the vehicle body acceleration sensor 1 to the background data server 6. Specifically, the detection data includes: the system comprises the following basic data of the vibration acceleration of a vehicle body, the acceleration peak data, the acceleration power spectrum data, the basic data of the railway system such as the vehicle type, the vehicle number, the mileage position, the line number, the line type and the like. Because the data acquisition frequency is 2KHz and the data volume is very large, a 4G network transmission channel is adopted.
In the data transmission process, a run length coding mode is adopted to improve a standard LASS compression algorithm, nibbles are merged firstly, then original data are compressed, the size of the compressed data is 1/6-1/10 of the original data, the compression efficiency can reach 5KB/s, and the system transmission requirements are met.
As shown in fig. 5, the vehicle body acceleration sensor 1 transmits detected data to the communication main control board 2, the communication main control board 2 is in communication connection with the background data server 6 through a 4G network transmission channel, after the communication main control board 2 uploads the detected data to the background data server 6, the background data server 6 analyzes and processes the detected data, and the detected data are transmitted to a line maintenance unit in time through the 4G network according to the pipe boundary background data server 6, for example, the work department scheduling and the work section scheduling of each railway administration, and then the task is notified to an individual through a Short Message Service (SMS) mode, so that the fault processing efficiency is improved, the problem can be solved on site in time, and hidden dangers can be eliminated.
After receiving the data, the background data server 6 firstly decrypts the data, then decodes the data according to a protocol and stores the data in a storage; and then, according to a preset vehicle body acceleration data correction model, combining big data such as detection data acquired in real time, detection data of other motor train units in the same section, historical detection data in the same section and the like, comprehensively analyzing and calculating to determine the level and data of line irregularity.
According to the management method of the vibration acceleration of the vehicle body, the irregularity of the vibration acceleration judging circuit of the vehicle body is divided into four-level threshold management values, the peak value of the vibration acceleration of the vehicle body can be directly converted into an acceleration value meeting the standard requirement according to the vehicle type and the vehicle speed, calculating the power spectrum density of the vibration acceleration of the vehicle body according to the vibration acceleration value of the vehicle body, designing a conversion method according to the vehicle type and the vehicle speed according to the calculated value of the power spectrum density of the vibration acceleration of the vehicle body and field check data by referring to a conversion scheme of the acceleration of the vehicle body, the vibration acceleration power spectrum density of the vehicle body is converted into an acceleration value meeting the standard requirement through conversion, the contrast and the practicability of the detection data are realized, the converted acceleration data is specially marked, so that a user can search the root cause of the unsmooth line in the field in a targeted way aiming at different data sources.
The communication main control board 2 further includes: the system comprises a locomotive power supply filtering and protecting circuit 26, a sensor isolation power supply, a motor train unit isolation communication circuit, a sensor isolation communication circuit, a Bluetooth module 21, a high-speed core processor 24, a power supply conversion circuit 28, a large-capacity running memory 30 and a large-capacity data memory 29.
Preferably, as shown in fig. 2, the vehicle body acceleration sensor 1 is disposed on a compartment floor 5, and the communication main control board 2 and the DMS box 4 are disposed in the electrical cabinet 3 of the motor train unit.
The beneficial effect that this application realized is as follows:
(1) the method and the device for detecting the irregularity state of the track line in real time in the running process of the motor train unit can effectively detect the irregularity state of the short wave large value and the long wave small value of the high-speed line. Specifically, the method and the device obtain a time domain signal peak value of the vibration acceleration of the vehicle body, wherein the peak value reflects the irregularity state of the short wave of the track; and acquiring a vibration acceleration power spectrum of the vehicle body to reflect the rail long wave irregularity state.
(2) The method and the device convert the calculation result of the power spectrum density of the vibration acceleration of the vehicle body into the acceleration for displaying, can manage the detection data according to the standard technical conditions, ensure the practicability of data application, and take the pertinence of field inspection into consideration.
(3) According to the method, the time domain and the frequency domain are simultaneously calculated, the missing rate of detection is reduced, the 4G network transmission and the background big data comparison are adopted, the emergency situation on the line can be timely mastered, individual abnormal data can be eliminated through comparison and analysis, and the detection accuracy is improved.
(4) The vehicle body structure is simple and convenient to install, the existing vehicle body structure is not changed, and no safety risk exists in operation.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (9)
1. A dynamic detection method for the smoothness of a high-speed railway steel rail is characterized by comprising the following steps:
acquiring a vibration acceleration value of a vehicle body;
acquiring a peak value of a vibration acceleration value of the vehicle body in a preset mileage section, and judging the irregularity grade of the track line according to the peak value;
acquiring a vehicle body vibration acceleration power spectrum density curve according to the acquired vehicle body vibration acceleration value, and performing line irregularity power spectrum analysis according to the curve;
the method for calculating the power spectral density of the vibration acceleration of the vehicle body comprises the following steps:
taking a plurality of continuously acquired vehicle body vibration acceleration values as a sequence x (n), and carrying out Fourier transform on the sequence x (n);
taking the square of the amplitude value after Fourier transform of the sequence x (N), and dividing by N to be used as the power spectral density of the sequence x (N), wherein N is the number of the acquired vibration acceleration values of the vehicle body;
and carrying out coherent analysis on the vibration acceleration value of the vehicle body and the rail irregularity by using a coherent function.
2. The method for dynamically detecting the smoothness of a high-speed railway steel rail according to claim 1, wherein the step of obtaining the vibratory acceleration value of the train body comprises the step of obtaining a transverse vibratory acceleration value of the train body in the horizontal direction of the train body and a vertical vibratory acceleration value of the train body in the vertical direction of the train body.
3. The method for dynamically detecting the smoothness of the steel rails of the high-speed railway according to claim 1, wherein the established vehicle body acceleration data correction model is used for carrying out conversion processing on the vibration acceleration value of the vehicle body, and influence data of the vibration of the vehicle body on the vibration acceleration value of the vehicle body are eliminated.
4. The method for dynamically detecting the smoothness of the steel rail of the high-speed railway according to claim 1, wherein the coherence function is defined as:
wherein the content of the first and second substances,
represents: cross-spectra of system inputs and outputs;
represents: a single-sided spectrum of system inputs;
represents: a single-sided spectrum of system output;
represents: a coherence function.
5. A dynamic detection device for the smoothness of a high-speed railway steel rail is characterized by comprising a vehicle body acceleration sensor and a communication main control board, wherein the vehicle body acceleration sensor is in communication connection with the communication main control board through a bus, the communication main control board is provided with a sensor communication interface, the vehicle body acceleration sensor is provided with a main board interface, the sensor communication interface is connected with the main board interface through the bus, and the dynamic detection method for the smoothness of the high-speed railway steel rail according to any one of claims 1 to 4 is executed.
6. The device for dynamically detecting the smoothness of the steel rails of the high-speed railway according to claim 5, wherein the communication main control board is in communication connection with the background data server through a 4G network transmission channel.
7. The dynamic detection device for detecting the smoothness of the steel rails of the high-speed railway according to claim 5, wherein the communication main control board further comprises an onboard digital encryption chip,
and the onboard digital encryption chip is used for encrypting data transmitted by the system.
8. The device for dynamically detecting the smoothness of the steel rails of the high-speed railway according to claim 5, wherein the vehicle acceleration sensor comprises a sensor microprocessor, the sensor microprocessor is a high-speed processor with a floating point operation function, and the sensor microprocessor is matched with a digital signal processing library to analyze and calculate the detection data of the vehicle acceleration sensor from a time domain to a frequency domain.
9. The dynamic detection device for detecting the smoothness of the steel rails of the high-speed railway according to claim 5, wherein the vehicle body acceleration sensor comprises two low-frequency moving-coil type magnetoelectric accelerometers, one of which is a horizontal accelerometer, and the horizontal accelerometer is mounted in the horizontal direction of the vehicle body and used for detecting the vibration acceleration value of the vehicle body in the horizontal direction; and the other is a vertical accelerometer which is arranged in the vertical direction of the vehicle body and is used for detecting vehicle body vibration acceleration data in the vertical direction of the vehicle body.
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| CN112710446B (en) * | 2020-12-21 | 2022-06-07 | 北京和中普方新能源科技有限公司 | Judgment method and system for vibration test of electric vehicle battery system and storage medium |
| CN114216704A (en) * | 2021-11-17 | 2022-03-22 | 浙江天铁实业股份有限公司 | Track vibration damping pad parameter detection method |
| CN114417921B (en) * | 2022-01-05 | 2024-04-30 | 中国国家铁路集团有限公司 | Method, device, equipment and storage medium for identifying geometric anomaly data of track |
| CN116905297B (en) * | 2023-09-12 | 2023-12-12 | 大秦铁路股份有限公司大同工务段 | Dislocation track homing method, dislocation track homing device, dislocation track homing equipment and readable storage medium |
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