CN202793421U - Signal processing device for passive wheel sensor - Google Patents

Signal processing device for passive wheel sensor Download PDF

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Publication number
CN202793421U
CN202793421U CN 201220324191 CN201220324191U CN202793421U CN 202793421 U CN202793421 U CN 202793421U CN 201220324191 CN201220324191 CN 201220324191 CN 201220324191 U CN201220324191 U CN 201220324191U CN 202793421 U CN202793421 U CN 202793421U
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China
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signal
wheel sensor
passive wheel
analog
digital
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CN 201220324191
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Chinese (zh)
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童云
张彤
王波
孙电
陈文明
卢曰强
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Invengo Information Technology Co Ltd
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Invengo Information Technology Co Ltd
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Abstract

The utility model discloses a signal processing device for a passive wheel sensor, which comprises a preprocessing unit (1) used for performing the amplitude limiting and anti-aliasing filtering operation on differential voltage signals acquired by a passive wheel sensor (4), an analog-to-digital conversion unit (2) used for converting the differential voltage signals output by the preprocessing unit (1) into digital signals, and a signal identifying unit (3) used for identifying the digital signals output by the analog-to-digital conversion unit (2) so as to figure out voltage signals generated when a wheel passes by the passive wheel sensor (4) and then upload the judgment result to a host computer (5). The preprocessing unit (1), the analog-to-digital conversion unit (2) and the signal identifying unit (3) are connected in sequence with each other. According to the technical scheme of the utility model, the speed application range of a passive wheel sensor is enlarged, especially the application range of the passive wheel sensor for low-speed running wheels. Due to the adoption of the device, vehicle passing signals output by the passive wheel sensor can be effectively identified by the device and the device can be used for accessing a vehicle passing speed as low as 1 km per hour.

Description

The signal processing apparatus that is used for the passive wheel sensor
Technical field
The utility model relates to train Detection Techniques field in the automatic train identification system, relates in particular to a kind of signal processing apparatus for the passive wheel sensor.
Background technology
Present domestic railway vehicle number identification system mainly adopts these three schemes of passive wheel sensor, active vehicle wheels sensor and loop coil to realize vehicle detection.The passive wheel sensor mainly utilizes electromagnetic induction principle that wheel is converted into Voltage-output by the information above the sensor.Higher by the speed of a motor vehicle, the voltage fluctuation of sensor output is larger; Lower by the speed of a motor vehicle, the sensor output voltage fluctuation is less.Present processing to the passive wheel sensor output signal mainly is by amplifying circuit the wheel detector signal to be amplified also to compare the output logic level with fixing level threshold, represents that with this wheel passes through.Therefore cross in the application of car at low speed, the setting of threshold voltage is with regard to difficult.Threshold voltage arranged low, then the signals such as interference or noise can be mistaken for the car signal.So the passive wheel sensor is only applicable to the speed of a motor vehicle of passing through more than the 5km/h more at present.For satisfying low-speed applications, the on-the-spot array modes of passive wheel sensor+active vehicle wheels sensor or passive wheel sensor+loop coil that adopt are used more.The method of these combinations causes the on-the-spot device category of using various, and equipment cost is higher.And active vehicle wheels sensor and loop coil are made troubles to installation and maintenance work in that all to be not so good as the passive wheel sensor aspect performance and life-span stable.
For the problems referred to above, a kind of signal processing apparatus for the passive wheel sensor has been proposed here, realize to various identifications by vehicle speed signal, particularly low speed by the time signal identification.
The utility model content
The technical problems to be solved in the utility model is and can effectively identifies the signal that passes through of the different speed of a motor vehicle, particularly at train greater than 1km/h, less than 5km/h low speed by the time also can effectively identify, for the defects of prior art, provide a kind of signal processing apparatus for the passive wheel sensor.
The technical scheme that its technical matters that solves the utility model adopts is:
The signal processing apparatus that is used for the passive wheel sensor, comprise that the differential voltage signal that passive wheel sensor 4 is collected carries out the pretreatment unit 1 of amplitude limit and anti-aliasing filter processing, the differential voltage signal of described pretreatment unit 1 output is converted into the analog-to-digital conversion unit 2 of digital signal, the digital signal of described analog-to-digital conversion unit 2 output is identified the voltage signal that produces when judging wheel by described passive wheel sensor 4 and judged result is uploaded to the signal recognition unit 3 of main frame 5, described pretreatment unit 1, analog-to-digital conversion unit 2, signal recognition unit 3 is linked in sequence.
Further, described analog-to-digital conversion unit 2 comprise for the differential voltage signal with pretreatment unit 1 output be converted into digital signal the multi-channel synchronous AD converter, be used for receiving the digital signal of multi-channel synchronous AD converter output and it is gone here and there and change after export to the field programmable gate array device FPGA of signal recognition unit 3.
Further, described signal recognition unit 3 comprises digital signal processor, and described digital signal processor comprises the filtering processing module 31 of the digital signal of analog-to-digital conversion unit 2 outputs being carried out noise and undesired signal inhibition processing, respectively the digital signal of filtering processing module 31 outputs is carried out amplitude, Amplitude Estimation module 8 and cycle estimation module 34 that cycle is estimated, what receive the estimated result of described Amplitude Estimation module 33 and described cycle estimation module 34 and judged the car signal crosses car signal judge module 35, digital signal to 2 outputs of analog-to-digital conversion unit is carried out noise evaluation and is judged the frequency domain distribution of various noises and the noise estimation module 34 of energy size, to cross the car signal, the judged result of the frequency domain distribution of noise and energy size is further screened, after filtering macro-energy and sustained sound disturb judged result is exported to the comprehensive output module 36 of result of upper main frame 5.
What further, described multi-channel synchronous AD converter adopted is ADS7863 model chip.
What further, described field programmable gate array device FPGA adopted is the LFXP3C chip.
Further, described digital signal processor is TMS320C6713.
Implement the signal processing apparatus for being used for the passive wheel sensor of the present utility model, has following beneficial effect: by hardware circuit design indirectly, expanded the speed of a motor vehicle range of application of passive wheel sensor, particularly wheel low speed by the time application, can effectively identify the speed of wheel by signal and can be low to moderate 1km/h.
Description of drawings
The utility model is described in further detail below in conjunction with drawings and Examples, in the accompanying drawing:
Fig. 1 is structured flowchart of the present utility model;
Fig. 2 is signal recognition unit internal program structure of the present utility model and processing flow chart;
Fig. 3 is that the passive wheel sensor low speed of the utility model analog-to-digital conversion unit output is crossed the car signal waveforms;
Fig. 4 is that the low speed of filtering processing module output in the utility model signal recognition unit is crossed the car signal waveforms.
Embodiment
As shown in Figure 1, the signal processing apparatus for the passive wheel sensor of the present utility model has the pretreatment unit 1, analog-to-digital conversion unit 2 and the signal recognition unit 3 that are linked in sequence.
The differential signal of pretreatment unit 1 access passive wheel sensor 4 outputs carries out amplitude limit and anti-aliasing filter and processes, and the signal after the processing is exported to analog-to-digital conversion unit 2.
The function of analog-to-digital conversion unit 2 is the pretreated passive wheel sensor signals of automatically sampling, and differential voltage signal is converted into digital signal exports to signal recognition unit 3.Analog-to-digital conversion unit 2 utilizes multi-channel synchronous AD converter ADS7863 and field programmable gate array device FPGA LFXP3C to realize.FPGA control AD converter is sampled automatically, and the serial data of AD converter output is also exported to signal recognition unit 3 after the conversion.The sample waveform that low speed is crossed the car signal as shown in Figure 3.
Signal recognition unit 3 utilizes digital signal processor TMS320C6713B to realize processing to analog-to-digital conversion unit 2 output digit signals screening out the signal that wheel passes through under the various speed.3 pairs of identifying processings of crossing the car signal of signal processing unit are realized with the program account form, its signal processing flow is comprised of filtering processing module 31, noise estimation module 32, Amplitude Estimation module 33, cycle estimation module 34, mistake car signal discrimination module 35 and the comprehensive output module 36 of result as shown in Figure 2.
Filtering processing module 31 is the digital signal of analog-to-digital conversion unit 2 outputs to be carried out filtering process, and suppresses to disturb and noise signal, promotes signal to noise ratio (S/N ratio).As seen effect after low speed crossed the car signal and process is obviously improved as shown in Figure 4, can promote the sensitivity of low speed being crossed the identification of car signal.
Amplitude Estimation module 33 and cycle estimation module 34 are that the digital signal after filtering is processed is processed, and calculate peak value size and the cycle length of fluctuation signal, and the result was exported to car signal discrimination module 35.Crossing car signal discrimination module 35 is the energy sizes that calculate fluctuation signal according to the result of Amplitude Estimation module 33 and 34 outputs of cycle estimation module.When actual wheel passed through the passive wheel sensor, Negotiation speed was faster, and signal fluctuation is larger, and the cycle is less; Negotiation speed is slower, and signal fluctuation is less, and the cycle is longer; In general, wheel Negotiation speed speed no matter, the energy size of passive wheel sensor output pulsation signal is identical, this energy is obviously greater than the energy of noise signal.Cross car signal discrimination module 35 interior default energy analysis thresholdings, the energy of fluctuation signal was regarded as and was effectively crossed the car signal during more than or equal to this thresholding.
Noise estimation module 34 is that the signal that analog-to-digital conversion unit 2 is exported is carried out spectrum analysis, calculates the frequency distribution of noise under the on-the-spot complex electromagnetic environment and the energy size of each frequency range.The assessment result of noise is exported to the comprehensive output module 36 of result.The comprehensive output module 36 of result is according to the result of noise estimation module 34 the car signal of crossing of crossing 35 outputs of car signal discrimination module further to be screened, and the erroneous judgement that the undesired signal of filtering fixed cycle and macro-energy causes is other.
The above embodiment has only expressed several embodiment of the present utility model, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the utility model claim.Should be pointed out that for the person of ordinary skill of the art without departing from the concept of the premise utility, can also make some distortion and improvement, these all belong to protection domain of the present utility model.Therefore, the protection domain of the utility model patent should be as the criterion with claims.

Claims (6)

1. the signal processing apparatus that is used for the passive wheel sensor, it is characterized in that, comprise that the differential voltage signal that passive wheel sensor (4) is collected carries out the pretreatment unit (1) of amplitude limit and anti-aliasing filter processing, the differential voltage signal of described pretreatment unit (1) output is converted into the analog-to-digital conversion unit (2) of digital signal, the digital signal of described analog-to-digital conversion unit (2) output is identified the voltage signal of generation when judging wheel by described passive wheel sensor (4) and judged result is uploaded to the signal recognition unit (3) of main frame (5), described pretreatment unit (1), analog-to-digital conversion unit (2), signal recognition unit (3) is linked in sequence.
2. the signal processing apparatus for the passive wheel sensor according to claim 1, it is characterized in that, described analog-to-digital conversion unit (2) comprise for the differential voltage signal with pretreatment unit (1) output be converted into digital signal the multi-channel synchronous AD converter, be used for receiving the digital signal of multi-channel synchronous AD converter output and it is gone here and there and change after export to the field programmable gate array device FPGA of signal recognition unit (3).
3. the signal processing apparatus for the passive wheel sensor according to claim 1, it is characterized in that, described signal recognition unit (3) comprises digital signal processor, and described digital signal processor comprises the filtering processing module (31) of the digital signal of analog-to-digital conversion unit (2) output being carried out noise and undesired signal inhibition processing, respectively the digital signal of filtering processing module (31) output is carried out amplitude, Amplitude Estimation module (8) and cycle estimation module (34) that cycle is estimated, what receive the estimated result of described Amplitude Estimation module (33) and described cycle estimation module (34) and judged the car signal crosses car signal judge module (35), digital signal to analog-to-digital conversion unit (2) output is carried out noise evaluation and is judged the frequency domain distribution of various noises and the noise estimation module (34) of energy size, to cross the car signal, the judged result of the frequency domain distribution of noise and energy size is further screened, after filtering macro-energy and sustained sound disturb judged result is exported to the comprehensive output module of result (36) of upper main frame (5).
4. the signal processing apparatus for the passive wheel sensor according to claim 2 is characterized in that, what described multi-channel synchronous AD converter adopted is ADS7863 model chip.
5. according to claim 2 or 4 described signal processing apparatus for the passive wheel sensor, it is characterized in that what described field programmable gate array device FPGA adopted is the LFXP3C chip.
6. the signal processing apparatus for the passive wheel sensor according to claim 3 is characterized in that, described digital signal processor is TMS320C6713.
CN 201220324191 2012-07-05 2012-07-05 Signal processing device for passive wheel sensor Expired - Lifetime CN202793421U (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103487071A (en) * 2013-10-11 2014-01-01 成都森川铁路车辆技术开发有限公司 Intelligent sensor for train wheels
CN103640596A (en) * 2013-11-25 2014-03-19 深圳科安达电子科技股份有限公司 Axle counting system and axle signal processing and axle counting method used for same
CN105004877A (en) * 2015-07-15 2015-10-28 成都森川铁路车辆技术开发有限公司 Wheel sensor signal processing method and wheel sensor signal processing system
CN115824266A (en) * 2023-01-04 2023-03-21 哈尔滨市科佳通用机电股份有限公司 Signal processing method and device based on wheel sensor processing device

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103487071A (en) * 2013-10-11 2014-01-01 成都森川铁路车辆技术开发有限公司 Intelligent sensor for train wheels
CN103640596A (en) * 2013-11-25 2014-03-19 深圳科安达电子科技股份有限公司 Axle counting system and axle signal processing and axle counting method used for same
CN103640596B (en) * 2013-11-25 2015-09-16 深圳科安达电子科技股份有限公司 A kind of axle counting system and for the axis signal process of this axle counting system and axle counting method
CN105004877A (en) * 2015-07-15 2015-10-28 成都森川铁路车辆技术开发有限公司 Wheel sensor signal processing method and wheel sensor signal processing system
CN105004877B (en) * 2015-07-15 2017-11-10 成都森川科技股份有限公司 wheel sensor signal processing method and system
CN115824266A (en) * 2023-01-04 2023-03-21 哈尔滨市科佳通用机电股份有限公司 Signal processing method and device based on wheel sensor processing device

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