A method and system for self-correcting axle counting of railway trains
A self-calibration, train technology, applied in the direction of railway car body parts, railway signals, railway signals and safety, etc., can solve the problems of locomotives, passenger cars and special vehicles with poor use effect and increased interference, and achieve simplification Calculate the complexity, reduce the difficulty of construction, and facilitate the effect of promotion
Active Publication Date: 2020-08-18
大连鼎汉奇辉电子系统工程有限公司
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Problems solved by technology
Although this method is simple to implement, it is limited by the weather, and the degree of interference is increased in rainy and snowy days. At the same time, it is limited to ordinary trucks, and it is not effective for locomotives, passenger cars and special models.
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[0030] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the drawings in the embodiments of the present invention:
[0031] like figure 1 Shown: a kind of railway train self-calibration axle counting method is characterized in that comprising:
[0032] Step 1. During the passing process of the train, use the sensing unit arranged on the track to extract and save the number of trigger signals generated by each wheel passing the sensor position and the trigger time information. During the running of the train, the sensor senses that the wheels pass in turn. Once the sensor detects that the wheels pass, a trigger signal is sent. At this time, the time information of the trigger signal is recorded, and the number of axles is increased by 1. The sensing unit includes sensors relativ...
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The invention discloses a railway train self-correcting axle counting method and system. The method includes the following steps that the number of trigger signals generated when wheels pass through the positions of sensors and trigger moment information are extracted and stored; time interval information of the trigger signals generated when the wheels pass through a sensing unit is calculated and stored, and an axle data encoding model of a latest passing train is generated on a time coordinate axis; the axle data encoding model of the passing train and an existing axle data encoding model are compared and analyzed, the number of axles is calculated according to train state information; and combined with trigger signal number information and the calculated axle number information, the accurate number of the axles of the passing train is obtained. A traditional technical scheme that the number of the axles of the train is detected through the sensors is changed, a mode that the sensors are combined with the axle data encoding model is adopted, a detection result of the number of the axles of the train is self-corrected, the axle number calculation accuracy is greatly improved, thecalculation complexity is reduced, the construction difficulty is reduced, and popularization is facilitated.
Description
technical field [0001] The invention relates to the technical field of rail train detection, in particular to a method and system for self-correcting axle counting of railway trains. Background technique [0002] At present, the methods used to calculate the number of axles of moving trains mainly include calculating the number of axles by using wheel sensors and calculating the number of axles by infrared radiation. [0003] Using wheel sensors to calculate the number of axles: The existing system for calculating the number of axles based on wheel sensors generally detects wheels by installing multiple pairs of wheel sensors, and its counting accuracy must be guaranteed by using redundant measures. The stability and accuracy of the system The improvement is limited by the sensing distance, sensitivity, anti-interference and other performance parameters of the wheel sensor. At the same time, the use of multiple sets of sensors increases the load and computational complexity...
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IPC IPC(8): B61L1/16
CPCB61L1/161B61L1/163
Inventor 徐恺李正倩陈兴来
Owner 大连鼎汉奇辉电子系统工程有限公司