11 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 invention relates to the technical field of axle counter immunity testing, in particular to an axle counter immunity testing system, method, device and equipment, a medium and a product, and the system comprises a measuring unit which is arranged on a track and is used for measuring the amplitude and frequency of an interference signal; the injection unit is arranged to rotate around the measurement unit and emit interference signals in different directions; by arranging the axle counter immunity testing system comprising the measuring unit and the injection unit, the injection unit rotates around the measuring unit and emits interference signals in different directions, so that interference magnetic fields in different directions can be simulated, and the immunity of the axle counter under interference in different directions can be comprehensively evaluated.

The present invention provides a turnout zone intrusion alarm apparatus and method. Upon detecting that a train enters a turnout intrusion protection zone or detecting that the train leaves the turnout intrusion protection zone, the axle counters each send a corresponding axle entry signal or axle exit signal to a corresponding zone intrusion protection alarm device; if the turnout intrusion protection zone is idle, the zone intrusion protection alarm device receives an axle entry signal triggered by a communication vehicle having movement authorization, and if receiving an axle entry signal triggered by an intruding vehicle before receiving an axle exit signal triggered by the communication vehicle, then sends alarm information to an interlocking device; the interlocking device turns off an opened annunciator, and forwards the alarm information to a zone controller; the zone controller sends an instruction for invalidating the movement authorization, so that the communication vehicle is braked. In the present solution, the turnout zone intrusion protection alarm information can be directly determined on the basis of the axle entry signals and axle exit signals sent by the axle counters, so that compared with the prior art, the input information is simple, and the response speed is faster.

The invention relates to a train control method, and belongs to the technical field of rail transit. The autonomous sensing system comprises a sensing system and an autonomous sensing host; the axle counter is arranged in the fault parking area and is used for positioning the train in the fault parking area; when the train-ground communication system breaks down and the autonomous sensing system is effective, the train runs in a first control mode, and in the first control mode, the automatic train protection system obtains train running data based on the autonomous sensing system, carries out train positioning and mobile authorization control. The invention designs a train operation control mode under the condition of a simplified axle counter, an annunciator and a transponder, and multi-mode descending-level train operation control is realized.

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.

The utility model relates to the technical field of railway construction, in particular to an axle counter protection device in existing line construction, which comprises a left protection cover, a right protection cover and a steel rail, nylon son buckles are welded on the front side and the rear side of the right side of the top of the left protection cover, and nylon mother buckles are welded on the front side and the rear side of the left side of the top of the right protection cover. The left side of the left protective cover and the right side of the right protective cover are fixedly connected with positioning cylinders in a penetrating mode, inner cavities of the positioning cylinders are in threaded connection with lead screws, and the opposite ends of the lead screws are movably connected with protective shells through bearings. Through cooperation of the left protection cover, the right protection cover, the steel rail, the nylon son buckle, the nylon mother buckle, the positioning cylinder, the lead screw and the protection shell, the axle counter protection device has the advantage of protection function, the left protection cover and the right protection cover are fixed to the two sides of the steel rail through the nylon son buckle and the nylon mother buckle, and the axle counter can be protected under the action of the right protection cover and the left protection cover; and collision and rubbing of foreign objects are avoided.

The application discloses a kind of methods for automatically judging protection section limit point and turnout locking, it is to the laser survey data of trackside equipment collected to carry out processing, screen out the approachable signal with protection section limit point, identify its protection section limit point, and judge limit point type, then establish protection section limit point judgment model, carry out real-time difference comparison and update, judge whether protection section limit point meets design requirement;Again, turnout and warning post are analyzed, identify the axle counter near it, calculate the distance between each train after the direction of sliding and the axle counter near it, then establish turnout locking state judgment model, carry out real-time difference comparison and update, judge whether turnout locking state meets design requirement;Finally, obtain the judgment result.According to the application, only according to the collected laser survey data, the automatic update of protection section limit point and turnout locking state can be carried out, and whether it meets the design requirement is automatically judged.

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