6 results about "Axle counter" patented technology

One aspect of the present invention relates to a decommissioning system for decommissioning one or more track sections in a railway network. A decommissioning system may be understood as a system designed to interface with railway signalling systems to simulate track occupancy, thereby preventing train movements in designated sections for safety purposes. The purpose of such systems is to enable maintenance or other work on or around tracks without compromising safety or disrupting broader railway operations.

The application provides a train sequencing method, system and storage medium, which is applied to a train control system based on train-to-train communication. The train control system based on train-to-train communication stores virtual section data for representing the position of a train in a whole track, and a vehicle list for representing the front-back relationship of the train in each virtual section. Each virtual section corresponds to a vehicle list. The method comprises the following steps: receiving a current position reported by a train; determining a current virtual section to which the train belongs and a current vehicle list in the current virtual section according to the current position; when the current virtual section changes or the current vehicle list changes, finding a front train of the train, and updating the front train relationship of the train. Through the scheme of the application, the dependence on trackside axle counters can be avoided, the overall sequencing of trains in the whole line is automatically completed by the train control system based on train-to-train communication, and the technical problem that the front train cannot be found in train-to-train communication is solved, which is beneficial to realizing train-to-train communication.

The application provides a heavy goods transportation weighing system, and relates to the technical field of dynamic weighing.The technical scheme is as follows: two portal frames are installed above a weighing lane at intervals, a dynamic scale platform is arranged between the portal frames, and a license plate recognition camera is arranged on one side of the weighing lane and in front of the weighing platform.The dynamic scale platform comprises a base and a weighing platform installed on the base.A scale-out axle counter is installed at the front end of the weighing platform, a scale-in axle counter is installed at the rear end of the weighing platform, the upper surfaces of the scale-out axle counter and the scale-in axle counter are flush with the upper surface of the weighing platform, an axle recognition device is installed behind the dynamic scale platform, and two of the portal frames are provided with snapshot cameras.The system has the advantages of accurately judging the state of vehicles entering and leaving the weighing platform, improving the accuracy of weighing data, monitoring the driving state of vehicles in real time, and improving the matching degree of license plate recognition.

The utility model provides a kind of axle counter anti-interference system suitable for 27.5KV system line, by optimizing the installation position of axle counter sensor along track, using electromagnetic shielding and distance attenuation principle, avoid its in strong electromagnetic interference source vicinity, reduce the influence of outside interference to axle counter sensor, to reduce the axle counter failure incidence;Specifically, according to different ballast type to take different anti-interference measures: for main line whole ballast, using axle counter point two ends separate grounding technology, utilize the low resistance characteristics of ground net, the interference current generated by rail return flow is introduced into the earth, reduce the traction current flowing through axle counter sensor, ensure the stable operation of axle counter equipment;For vehicle depot field gravel ballast, using current sharing technology, the rail return flow before and after axle counter point is evenly distributed to the surrounding track, effectively weaken the interference influence of large current on rail to axle counter sensor, ensure the normal work of axle counter equipment in the complex environment of vehicle depot.

The invention discloses a sensor signal waveform multi-dimensional feature recognition method, which belongs to the technical field of rail transit, and comprises the following steps: acquiring an original signal of an axle counting sensor; carrying out noise reduction processing on the original signal by adopting a Kalman filtering algorithm, and outputting a filtered signal; processing and distinguishing are conducted through an amplitude distinguishing algorithm, a single-waveform symmetry distinguishing algorithm, a single-pulse curve slope distinguishing algorithm, a single-pulse curve slope distinguishing algorithm and a double-pulse waveform similarity distinguishing algorithm, if distinguishing results all meet the requirement, the pulse waveform is finally judged to be an effective pulse waveform, and if any one of the distinguishing results does not meet the requirement, the pulse waveform is judged to be an effective pulse waveform. And finally determining the pulse waveform as an invalid pulse waveform. In the output signal identification of the axle counting sensor, a method based on multi-feature identification is provided for the first time, so that the signal identification accuracy is greatly improved, and the anti-interference performance of equipment is enhanced; meanwhile, signal quality can be identified, interference signal types can be judged, and a basis is provided for signal monitoring.

Single-stage evaluation of an axle counter time characteristic Abstract A method for the evaluation of a data set (110) is described, the method including: i) recording of a one-dimensional time characteristic as a data set (110) by means of an axle counter (100); and ii) evaluation of the data set (110) by means of the determination of signals in the one-dimensional time characteristic and classification of the signals in the one- dimensional time characteristic in one step by means of a single-stage algorithm (150) based on deep learning. (Figure 1) Single-stage evaluation of an axle counter time characteristic Abstract A method for the evaluation of a data set (110) is described, the method including: i) recording of a one-dimensional time characteristic as a data set (110) by means of an axle counter (100) ; and ii) evaluation of the data set (110) by means of the determination of signals in the one-dimensional time characteristic and classification of the signals in the one- dimensional time characteristic in one step by means of a single-stage algorithm (150) based on deep learning. (Figure 1) 20 25 20 29 07 24 A pr 2 02 5 2 0 2 5 2 0 2 9 0 7 2 4 A p r 2 0 2 5 A b s t r a c t 2 0 2 5 2 0 2 9 0 7 2 4 A p r 2 0 2 5 A b s t r a c t 1 / 6 111 135 130112 110 131, 160 FIG 2 111 132, 160 FIG 3 110 151 152 150 120 112 111 FIG 1 1 / 6 FIG 1 120 150 110 151 152 111 112 FIG 2 131, 160 112 130 110 135 111 FIG 3 132, 160 111 20 25 20 29 07 24 A pr 2 02 5 2 0 2 5 2 0 2 9 0 7 2 4 A p r 2 0 2 5 1 1 0 1 5 2 1 1 0 1 3 5 2 0 2 5 2 0 2 9 0 7 2 4 A p r 2 0 2 5 1 1 0 1 5 2 1 1 0 1 3 5