Wheel set turning repair early warning system

Abstract

The utility model provides a wheel set turning repair early warning system, which is characterized in that wheel state detection sensors are averagely divided into two groups and are respectively drilled on a neutral shaft of a left rail bar and a right rail bar of a steel rail, and the wheel state detection sensors are arranged between adjacent steel rail sleepers; a coming train detection system, a signal acquisition system, a train number recognition system, a computing power server and a communication system are integrated in the detection cabinet, the coming train detection system detects an upcoming train through a laser distance measuring sensor and an industrial camera, and the train number recognition system recognizes train groups and train numbers in an image analysis mode. The wheel state detection sensor sends data of a certain wheel to the signal acquisition system, and the signal acquisition system converts the data into digital quantity and sends the digital quantity to the computing power server; the state of the wheel passing at a certain speed is detected through the sensors installed in the steel rail bar and the shaft, early warning is conducted on the wheel state, excessive turning repair or running with diseases of the wheel is avoided, and safe operation of rail traffic is guaranteed.

Description

Technical Field

[0001] The utility model relates to the technical field of wheelset turning and repairing, in particular to a wheelset turning and repairing early warning system. Background Art

[0002] During the long-term operation of rail transit locomotives and vehicles, the wheelset treads will be damaged by peeling, abrasions, wheel flange rolling and wheel rim edge rolling. In order not to affect the operating status of the vehicle, the wheelset needs to be repaired in time to restore the ovality of the wheel tread and ensure the smooth, high-speed and safe operation of the train.

[0003] Due to the lack of wheelset status detection methods, the current repair process of locomotive and vehicle wheelsets in the domestic rail transit field is mainly based on planned repairs, and the wheelset repairs are carried out after reaching the running mileage or time. This repair process leads to the following problems during use:

[0004] (1) Excessive turning and repair of wheelsets in good condition, resulting in early scrapping of the wheelsets;

[0005] (2) The problematic wheelset is running with a defect, which may cause potential safety accidents;

[0006] (3) A large number of wheelsets in good condition were repaired, wasting a lot of manpower and material resources. Utility Model Content

[0007] The utility model aims to provide a wheelset turning and repair warning system and a warning method.

[0008] In order to achieve the above purpose, the technical solution of the utility model is:

[0009] A wheel set turning and repair warning system, characterized in that it comprises a wheel state detection sensor and a detection cabinet, wherein the wheel state detection sensor is evenly divided into two groups and respectively drilled and installed on the neutral axis of the left and right rails of the rail, and the wheel state detection sensor is installed between adjacent rail sleepers, and the interior of the detection cabinet is integrated with an incoming vehicle detection system, a signal acquisition system, a vehicle number recognition system (ATIS), a computing power server and a communication system, wherein the incoming vehicle detection system detects an upcoming train through a laser ranging sensor and an industrial camera, and the laser ranging sensor and the industrial camera are both installed facing the incoming direction of the train, and when the laser ranging sensor and the industrial camera both detect an incoming train, the vehicle number recognition system and the wheel state sensor are started, and the vehicle number recognition system recognizes the vehicle group and the vehicle number through image analysis, and the wheel state detection sensor sends the data of a certain wheel to the signal acquisition system, and the signal acquisition system converts the data into digital quantity and sends it to the computing power server, and the computing power server analyzes the digital quantity signal and generates a wheel state evaluation index, and the wheel state evaluation index is uploaded through the communication system.

[0010] Furthermore, the oncoming train detection system is installed on the top of the detection cabinet to detect the direction of the oncoming train in real time.

[0011] Furthermore, the vehicle number recognition system is installed at the rear end of the detection cabinet to identify the axle position of the wheelset.

[0012] Furthermore, the signal acquisition system is provided with a filter to eliminate high-frequency interference of the signal collected by the wheel state detection sensor.

[0013] The utility model detects the state of a wheel passing at a certain speed through a wheel state sensor installed on the rail bar and the axle, and gives an early warning of the wheel state, thereby providing technical support for wheel turning and repairing operations in the field of rail transportation, avoiding excessive turning and repairing of wheels or running with defects, and ensuring safe operation of rail transportation;

[0014] The utility model determines the situation of the approaching vehicle by two methods, namely, sensor laser distance measurement and camera image detection. The two methods are redundant to each other, thus avoiding wrong judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the system structure of the utility model.

[0016] Reference numerals:

[0017] 1 wheel status detection sensor, 2 detection cabinet, 3 left rail, 4 right rail, 5 sleeper. DETAILED DESCRIPTION

[0018] The technical solution of the utility model will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments of the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.

[0019] The utility model discloses a wheelset turning and repairing early warning system, comprising a wheel state detection sensor 1 and a detection cabinet. The wheel state detection sensor 1 is evenly divided into two groups, which are respectively drilled and installed on the neutral axis of the left rail 3 and the right rail 4 of the rail. The wheel state detection sensor 1 is installed between adjacent rail sleepers 5.

[0020] The detection cabinet is internally integrated with an approaching train detection system, a signal acquisition system, a vehicle number recognition system (ATIS), a computing power server and a communication system. The approaching train detection system detects the approaching train through a laser ranging sensor or image analysis. The laser ranging sensor and the industrial camera are both installed facing the approaching direction of the train. When the laser ranging sensor and the industrial camera detect the approaching train, the vehicle number recognition system and the wheel status sensor are started. The vehicle number recognition system identifies the train set and vehicle number through image analysis. The wheel status detection sensor sends the data of a certain wheel to the signal acquisition system. The signal acquisition system converts the data into digital quantity and sends it to the computing power server. The computing power server analyzes the digital quantity signal and generates wheel status evaluation indicators, which are uploaded through the communication system.

[0021] The oncoming train detection system is installed on the top of the detection cabinet 2 to detect the direction of the oncoming train in real time; the vehicle number recognition system is installed at the rear end of the detection cabinet 2 to identify the axle position of the wheelset, and the signal acquisition system is equipped with a filter to eliminate high-frequency interference in the signal collected by the wheel status detection sensor 1.

[0022] The turning and repair warning system of the utility model is installed under the following conditions:

[0023] Vehicle speed:>15Km / h;

[0024] Rail type: 50Kg / m, 60Kg / m, 75Kg / m;

[0025] There is a straight road within 50m before and after the sensor installation;

[0026] Power supply: AC220V+15% (-20%), 50Hz, <2.5KVA;

[0027] The road shoulder is convenient for installing equipment cabinets, covering an area of ​​about 2 square meters;

[0028] Mobile communication signal coverage is good.

[0029] A wheelset turning and repair warning method using the wheelset turning and repair warning system of the utility model comprises the following steps:

[0030] Step S1) when the laser ranging sensor detects that the target moves from far to near, the target speed is calculated;

[0031] Step S2) if the target speed is consistent with the running law of the train, it is determined that the target is a train;

[0032] Step S3) when the industrial camera captures two headlights of the target and the headlight spot changes from small to large, it is determined that the target is a train;

[0033] Step S4) If the laser ranging sensor in step S2 and the industrial camera in step S3 both confirm that the target is a train, the arrival of the train is confirmed, and the main control device is notified to start the vehicle number recognition system and the wheel status detection sensor 1;

[0034] Step S5) the train detection system determines the train's direction, the vehicle number recognition system determines the position of each axle of the train, and the computing server calibrates the wheel status detection sensor 1 installed on the same rail;

[0035] Step S6) The computing server analyzes the calibration results and generates wheel status evaluation indicators. The wheel status evaluation indicators are uploaded to the host computer through the communication system and viewed by vehicle maintenance personnel.

[0036] The calibration of the wheel state sensor in step S5 specifically includes the following steps:

[0037] Step S51) the approaching train detection system detects the approaching train direction in real time, and the vehicle number recognition system recognizes the axle position of the wheelset and determines the relative position of the wheels relative to the head of the train;

[0038] Step S52) recording the order in which different wheels pass the wheel state detection sensor 1 according to the installation position of the wheel state detection sensor 1 and the direction of the approaching vehicle, and the relative position of the wheel to the head of the train;

[0039] Step S53) Each wheel status detection sensor 1 sends the recorded wheel data to the signal acquisition system, and the data is converted into digital quantity and then forwarded to the computing power server;

[0040] Step S54) After each wheel passes through all wheel status detection sensors 1 on the rail, the computing server calibrates all wheel status detection sensors 1 once. For example, when a train composed of 6 vehicles passes, 24 wheels pass through the same wheel status detection sensor 1, that is, the wheel status detection sensor 1 is calibrated 24 times when the train passes.

[0041] Step S54 specifically includes the following steps:

[0042] Step S541) The wheel state detection sensor 1 is easily interfered by electromagnetic and environmental vibration noise during operation. In order to suppress the interference, the signal collected by the wheel state detection sensor 1 is converted into digital by the signal acquisition system and then processed by a filter to eliminate high-frequency interference. The filtering formula is as follows:

[0043] ymn(z)=H(z)xmn(z);

[0044] Wherein, xmn(z) is the original z-domain signal detected by the wheel status detection sensor 1 numbered m at the nth wheel of the train, H(z) is the filter, and ymn(z) is the filtered data z-domain signal;

[0045] After filtering in step S542), data on the wheel state is obtained. This data reflects the operating state of the wheel, where the peak-to-peak value is highly correlated with the axle load. Considering the principle of constant axle load, the wheel state detection sensor 1 is calibrated using the peak-to-peak value. The peak-to-peak value detection method is as follows:

[0046] Define Max = -9999, Min = 9999, i = 1:L;

[0047] If ymn(i) > Max, then Max = ymn(i);

[0048] If ymn(i) < Min, then Min = ymn(i);

[0049] Yppmn = Max - Min;

[0050] Where L is the data length of the nth wheel of the train detected by the wheel state detection sensor 1 numbered m,

[0051] ymn(i) is the data of the nth wheel of the train detected by the wheel state detection sensor 1 numbered m at the i-th moment,

[0052] Yppmn is the peak-to-peak value of the nth wheel of the train detected by the wheel state detection sensor 1 numbered m;

[0053] In step S543), during the operation of the train, its axle load remains constant. At the same time, the peak-to-peak value of the signal detected by the wheel state detection sensor 1 is highly correlated with the axle load. Based on this rule, the wheel state detection sensor 1 can be calibrated and normalized as follows:

[0054] Define Sum = 0, m = 1:M;

[0055] Sum = Sum + Yppmn;

[0056] Define Average = Sum / M;

[0057] K(m) = Average / Yppmn;

[0058] Where M is the total number of wheel state detection sensors 1,

[0059] Average is the average peak-to-peak value of the signals excited by all wheel state detection sensors 1 when the same wheel passes through all wheel state detection sensors 1,

[0060] K(m) is the data conditioning coefficient of the wheel state detection sensor 1 numbered m.

[0061] Step S6 specifically includes the following steps:

[0062] Step S61) The computing power server performs signal conditioning according to the calibration results;

[0063] Define i=1:L;

[0064] Let ymn(i)=ymn(i)*K(m);

[0065] That is, ymn(i)=ymn(i)*Average / Yppmn;

[0066] Step S62) extracting characteristic signals;

[0067] Step S63) Calculate the damage equivalent value of the wheel tread.

[0068] Step S62 specifically includes the following steps:

[0069] Step S621) The computing server calculates the train speed through the axle counting function of the wheel status and the wheelbase;

[0070] Step S622) Design a bandpass filter according to the train speed, wheel diameter, bandwidth of the wheel status detection sensor 1 and sampling frequency of the data acquisition system;

[0071] Step S623) Extracting a signal reflecting the wheel status through a bandpass filter.

[0072] Step S63 specifically includes the following steps:

[0073] Step S631) The computing server determines the spectrum structure of the wheel status signal through spectrum analysis;

[0074] Step S632) using the vehicle speed, wheel diameter, axle weight and wheel status signal spectrum structure to determine the degree of damage and size of the wheel tread;

[0075] Step S633) Perform weighted calculation based on the damage degree and damage size of each damaged part of the wheel tread to obtain the damage equivalent value of the wheel tread.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the utility model, rather than to limit it. Although the utility model has been described in detail with reference to the aforementioned embodiments, ordinary technicians in this field should understand that they can still modify the technical solutions recorded in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not make the essence of the corresponding technical solution deviate from the scope of the technical solution of the embodiments of the utility model.

Claims

1. A wheelset turning and repair early warning system, It is characterized in that It includes wheel status detection sensors and a detection cabinet. The wheel status detection sensors are evenly divided into two groups and are drilled and installed on the neutral axis of the left and right rails of the rail. The wheel status detection sensors are installed between adjacent rail sleepers. The interior of the detection cabinet is integrated with an incoming vehicle detection system, a signal acquisition system, a vehicle number recognition system, a computing power server and a communication system. The incoming vehicle detection system detects the upcoming train through a laser ranging sensor and an industrial camera. The laser ranging sensor and the industrial camera are both installed facing the oncoming direction of the train.

2. The wheelset turning and repair warning system according to claim 1, It is characterized in that The oncoming train detection system is installed on the top of the detection cabinet to detect the direction of the oncoming train in real time.

3. The wheelset turning and repair warning system according to claim 1, It is characterized in that The signal acquisition system is provided with a filter to eliminate high-frequency interference of the signal collected by the wheel state detection sensor.

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