An intelligent diagnosis and processing system for track circuit status

Abstract

The present invention provides an intelligent diagnosis and processing system for the state of track circuits, comprising: a track circuit, axle counters, a fault analyzer, and a drive circuit; the transmitting device and the receiving device of the track circuit are respectively located on both sides of the track in the measured target area; the two wheel detection sensors of the axle counter are arranged on both sides of the track in the measured target area respectively; the fault analyzer is used for detecting faults of the track circuit, and when a track circuit fault is detected, outputting a trigger signal to the drive circuit; the drive circuit is used for, when the track circuit fails, controlling the axle counter to detect the idle state of the track in the measured target area, discovering problems existing in the track circuit and solving them in time without the need for human participation, thereby preventing accidents from occurring.

Description

Technical Field

[0001] The present invention relates to the technical field of control systems, and more particularly to an intelligent diagnosis and processing system for track circuit status. Background Art

[0002] Railways are an important part of China's transportation. At present, with the increasing speed and density of train operation, train accidents are becoming more and more likely to occur. One of the reasons is that the occupancy status of the track cannot be clearly reflected. Summary of the Invention

[0003] In view of this, embodiments of the present invention provide an intelligent diagnosis and processing system for track circuit status to timely reflect the occupancy of the track.

[0004] To achieve the above object, embodiments of the present invention provide the following technical solutions:

[0005] An intelligent diagnosis and processing system for track circuit status, comprising:

[0006] A track circuit, an axle counter, a fault analyzer, and a drive circuit;

[0007] The transmitting device and the receiving device of the track circuit are respectively located on both sides of the track in the measured target area;

[0008] Two wheel detection sensors of the axle counter are respectively arranged on both sides of the track in the measured target area;

[0009] The fault analyzer is used to detect faults in the track circuit. When a track circuit fault is detected, a trigger signal is output to the drive circuit;

[0010] The drive circuit is used to control the axle counter to detect the idle state of the track in the measured target area when the track circuit fails.

[0011] Optionally, in the above intelligent diagnosis and processing system for track circuit status, the number of the track circuit, the axle counter, the fault analyzer, and the drive circuit is N. Each group of the track circuit, the axle counter, the fault analyzer, and the drive circuit corresponds to a section of the track in the measured target area, and N is a positive integer not less than 2.

[0012] Optionally, in the above intelligent diagnosis and processing system for track circuit status, the fault analyzer includes:

[0013] A signal collector and a signal analyzer;

[0014] The acquisition circuit is used to collect the status information of the track circuit in real time. The status information includes the voltage and frequency of the track circuit, and the status information is sent to the signal analyzer;

[0015] The signal analyzer is used to output a fault signal that matches the status information.

[0016] Optionally, in the above-mentioned intelligent diagnosis and processing system for track circuit status, the signal collector includes:

[0017] An operational amplifier;

[0018] An ADC converter, the input end of the ADC converter is connected to the output end of the operational amplifier,

[0019] An adjustable shunt reference source, the output end of the adjustable shunt reference source is connected to the reference signal input end of the ADC converter;

[0020] An FPGA and an opto-coupler isolator, the FPGA is connected to the ADC converter through the opto-coupler isolator;

[0021] A wireless communication module, the wireless communication module is connected to the FPGA and is used to realize data interaction between the FPGA and the signal analyzer.

[0022] Optionally, in the above-mentioned intelligent diagnosis and processing system for track circuit status, the drive circuit includes:

[0023] A safety relay, a first GJ relay, a second GJ relay, and a total GJ relay;

[0024] The control signal input end of the safety relay is used to obtain the trigger signal output by the fault analyzer. When the trigger signal is obtained, the normally open node of the controller closes;

[0025] The first end of the normally open node is connected to the total GJ relay through the first GJ relay;

[0026] The second end of the normally open node is connected to the total GJ relay through the second GJ relay;

[0027] The suction state of the first GJ relay is controlled by the output signal of the track circuit, and the suction state of the second GJ relay is controlled by the output signal of the axle counter;

[0028] The first end of the normally open node is also connected to an external power supply.

[0029] Optionally, in the above-mentioned intelligent diagnosis and processing system for track circuit status, the track circuit further includes: a first tuning unit matching the sending device and a second tuning unit matching the receiving device.

[0030] Optionally, in the above-mentioned intelligent diagnosis and processing system for track circuit status, the signal frequencies in two adjacent track circuits are different.

[0031] Optionally, in the above intelligent diagnosis and processing system for track circuit status, the fault analyzer is specifically configured to:

[0032] Determine whether a red light band fault occurs in the track circuit. When a red light band fault occurs in the track circuit, control the axle counter to detect the idle state of the track in the measured target area.

[0033] Optionally, in the above intelligent diagnosis and processing system for track circuit status, when the fault analyzer determines whether a red light band fault occurs in the track circuit, it is specifically configured to:

[0034] Determine whether a target frequency signal matching the target track circuit is obtained. The target frequency signal is obtained by collecting the signal transmitted by the sending device of the target track circuit;

[0035] When the target frequency signal is not detected, determine whether two frequency signals adjacent to the target frequency signal are obtained as pre-set;

[0036] If two frequency signals adjacent to the target frequency signal are obtained, it is determined that a red light band fault occurs in the target track circuit.

[0037] Optionally, in the above intelligent diagnosis and processing system for track circuit status, the fault analyzer is further configured to:

[0038] When no red light band fault occurs in the track circuit, perform windowing processing after filtering the target frequency signal;

[0039] Perform FFT transformation on the windowed target frequency signal to obtain the signal amplitude-frequency characteristic spectrum line;

[0040] Analyze the signal amplitude-frequency characteristic spectrum line to obtain carrier frequency information;

[0041] Judge whether a fault occurs in the target track circuit by comparing the carrier frequency information with the pre-set carrier frequency information matching the target track circuit.

[0042] Based on the above technical solutions, in the above solution provided by the embodiments of the present invention, the track circuit is normally used to detect vehicles in the track of the measured target area. When the fault analyzer detects a track circuit fault, it switches to the axle counter through the drive circuit, and the axle counter indicates whether there is a vehicle in the track of the measured target area. This process does not require human participation, and problems existing in the track circuit can be found and solved in time without human participation, thus preventing accidents. Description of the Drawings

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on the provided drawings.

[0044] Figure 1 It is a schematic structural diagram of the intelligent diagnosis and processing system for the track circuit state disclosed in the embodiments of the present application;

[0045] Figure 2 It is a schematic structural diagram of the intelligent diagnosis and processing system for the track circuit state disclosed in a specific embodiment of the present application;

[0046] Figure 3 It is a schematic structural diagram of the signal collector disclosed in the embodiments of the present application;

[0047] Figure 4 It is a schematic flowchart of the fault analysis logic of the fault analyzer in the intelligent diagnosis and processing system for the track circuit state disclosed in an embodiment of the present application;

[0048] Figure 5 It is a schematic structural diagram of the drive circuit disclosed in the embodiments of the present application. Detailed implementation manners

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0050] Based on this, the present invention proposes an intelligent diagnosis and processing system for the track circuit state, which can analyze the occupied state of the track circuit in real time, discover the problems existing in the track circuit and solve them in time without human participation, thereby preventing accidents.

[0051] See Figure 1 , the intelligent diagnosis and processing system for the track circuit 100 state disclosed in the present application may include a track circuit 100, an axle counter 200, a fault analyzer 300, and a drive circuit 400;

[0052] Track circuit 100: It is a device for checking whether a section is occupied by a train. See Figure 2, which can be composed of a sending device 101, a receiving device 102, and a hollow coil 103. For the specific installation method, refer to the prior art. The sending device 101 and the receiving device 102 are respectively installed at both ends of the section. When the section is idle, the receiving device can receive the information sent by the sending device. When a train passes through this section, since the train wheelset is a conductor, the receiving device cannot receive the information sent by the sending device, and it is considered that there is a train occupying this section. Of course, in order to filter out the glitches in the signals sent and received by the sending device 101 and the receiving device 102, the above solution may further include a first tuning unit 104 provided at the signal output end of the sending device and a second tuning unit 105 provided at the signal output end of the receiving device.

[0053] Axle counter 200: It is a device for checking whether a section is occupied by a train. The axle counter 200 is composed of axle counter sensors 201 and related devices 202 of the axle counter. Wheel detection sensors are placed at both ends of the section, and the occupancy status of the section is judged by calculating the passing wheels. For example, if 5 wheels enter this section, as long as the number of wheels detected by the sensor at the exit of the section is not equal to 5, it is considered that there is a train in the section. Only when the number of wheels at the entrance of the section is equal to the number of wheels at the exit is the section considered to be idle.

[0054] The sending device and the receiving device of the track circuit 100 are respectively located on both sides of the track in the measured target area; the two wheel detection sensors of the axle counter 200 are arranged on both sides of the track in the measured target area respectively; that is, in the technical solution disclosed in the embodiments of the present application, the track circuit 100 and the axle counter 200 are both provided at both ends of each measured target area track. In this solution, at the same moment, only one device can prompt whether there is a vehicle in the measured target area track;

[0055] The fault analyzer 300 is used to detect faults of the track circuit 100. When a fault of the track circuit 100 is detected, a trigger signal is output to the drive circuit. In the technical solution disclosed in the embodiments of the present application, the fault analyzer 300 is a fault analyzer 300 for the track circuit 100. The track circuit 100 is a circuit for prompting whether there is a vehicle in the measured target area track under normal conditions. Only when the track circuit 100 fails, the axle counter 200 is used to prompt whether there is a vehicle in the measured target area track;

[0056] The drive circuit is used to control the axle counter 200 to detect the idle state of the measured target area track when the track circuit 100 fails.

[0057] In the technical solution disclosed in the embodiment of the present application, under normal conditions, the track circuit 100 is used to detect vehicles in the track of the measured target area. When the fault analyzer 300 detects a fault in the track circuit 100, it switches to the axle counter 200 through the drive circuit, and uses the axle counter 200 to indicate whether there is a vehicle in the track of the measured target area. This process does not require human participation, and the problems existing in the track circuit 100 can be discovered and solved in time without human participation, thus preventing accidents.

[0058] In the technical solution disclosed in the embodiment of the present application, the number of the track circuit 100, the axle counter 200, the fault analyzer, and the drive circuit is N. Each group of the track circuit 100, the axle counter 200, the fault analyzer, and the drive circuit corresponds to a section of the track of the measured target area, and N is a positive integer not less than 2.

[0059] When the number of the fault analyzer and the drive circuit is N, the signal frequencies in two adjacent track circuits 100 are different. In the actual use process, the signal frequencies on each track circuit 100 section are inconsistent. For example, if the signal frequency of the track circuit 100 corresponding to this section is 1700 Hz, then the frequency of the adjacent next section is 2300 Hz. If the train receives a 2300 Hz signal in the 1700 Hz section, it can be determined that there is a fault in the outdoor track circuit 100 related equipment.

[0060] In the above solution, the fault analyzer 300 can be divided into a signal collector and a signal analyzer;

[0061] The acquisition circuit is used to collect the status information of the track circuit 100 in real time. The status information includes the voltage and frequency of the track circuit 100, and sends the status information to the signal analyzer;

[0062] The signal analyzer is used to output a fault signal matching the status information.

[0063] That is, the above basic solution: It is mainly divided into three major modules: a signal collector, a signal analyzer, and a drive circuit. The signal collector and the signal analyzer perform data interaction in a wireless or wired manner. Signal collector: It collects the status of the track circuit 100 in real time. The main information includes the voltage and frequency of the track circuit 100, and sends its status to the signal analyzer in real time. The signal analyzer receives the data information sent by the signal collector, intelligently analyzes the data, judges the status of the track circuit 100, and generates a drive signal to be sent to the drive circuit. The drive circuit decides whether to introduce the judgment result of the axle counter 200 device to judge the track circuit status according to the drive signal. If the track circuit 100 device fails, due to the introduction of the judgment result of the axle counter 200 device, the normal passage of the train through this section is ensured. In this solution, the track circuit 100 and the axle counter 200 are always in a working state, but only the judgment result of one device is used as the standard at the same time.

[0064] See Figure 3 , in the technical solution disclosed in the embodiment of the present application, it can be Figure 3 the structure shown in

[0065] Operational amplifier TL084. In the technical solution disclosed in the embodiment of the present application, the model of the operational amplifier is preferably TL084. Of course, operational amplifiers of other signals can also be used;

[0066] ADC converter TLC3574. The model of the ADC converter is preferably TLC3574. Of course, ADC converters of other signals can also be used. The input end of the ADC converter is connected to the output end of the operational amplifier;

[0067] Adjustable shunt reference source TL431. The model of the adjustable shunt reference source is preferably TL431. Of course, adjustable shunt reference sources of other signals can also be used. The output end of the adjustable shunt reference source is connected to the reference signal input end of the ADC converter;

[0068] FPGA and optocoupler isolator. The signal of the optocoupler isolator can be HCPL2630 or other models. The FPGA is connected to the ADC converter through the optocoupler isolator;

[0069] Wireless communication module. The wireless communication module is connected to the FPGA and is used to realize data interaction between the FPGA and the signal analyzer.

[0070] In the above solution, the core control chip of the signal collector is an FPGA, which completes data acquisition by controlling the ADC converter and completes data transmission by controlling the wireless communication module.

[0071] In the above embodiments, the ADC converter selects TLC3574. This device has a working frequency as high as 25 MHz and adopts a pseudo-differential analog input circuit to expand the dynamic range of the sampling signal to ±10V. Since the voltage signal at both ends of the track circuit 100 is about 0 - 3V, the dynamic acquisition range fully meets the requirements. The output port adopts the SPI serial communication method. The FPGA generates the SPI interface and timing signals of TLC3574 to control it to convert the external analog signal and input it into the FPGA for corresponding calculation and processing. Since there is no voltage reference inside TLC3574, therefore, this application also selects the adjustable shunt reference source TL431 to form a peripheral circuit to provide it with a high-precision 4V voltage reference. In order to match the impedance of the signal, an operational amplifier TL084 is placed at the front end of TLC3574. Since the change amplitude of the signal of the track circuit 100 collected is not large, the operational amplifier TL084 with a high conversion rate is adopted at the input end. The FPGA analyzes and judges the voltage signal of the collected track circuit 100, and then sends out the collected information through controlling the wireless communication module. The information sent out includes time, ID number, and collected data. The ID number can refer to the ID number of the wireless communication module or the ID number of the track circuit 100.

[0072] The signal analyzer is mainly used to judge whether the track circuit 100 has a fault based on the acquired signal. Specifically, the fault analyzer 300 is used for:

[0073] Judge whether the track circuit 100 has a red light band fault. When the track circuit 100 has a red light band fault, control the axle counter 200 to detect the idle state of the track in the measured target area.

[0074] When the fault analyzer 300 judges whether the track circuit 100 has a red light band fault, it is specifically used for:

[0075] Judge whether a target frequency signal matching the target track circuit 100 is acquired. The target frequency signal is obtained by collecting the signal sent by the sending device of the target track circuit 100;

[0076] When the target frequency signal is not detected, judge whether two frequency signals adjacent to the target frequency signal set in advance are acquired;

[0077] If two frequency signals adjacent to the target frequency signal are acquired, determine that the target track circuit 100 has a red light band fault.

[0078] In this solution, when judging the red light band fault, the three-point inspection method is mainly used to judge whether the "red light band" fault occurs, that is, if the track section is occupied, the signal collector cannot collect the signal. Based on this principle, it is judged whether there is collected data in the previous section of the track section and whether there is collected data in the subsequent section. If there is collected data in both the front and rear sections, then it can be judged that this section is a "red light band" section.

[0079] Further, in order to judge whether other faults occur in the track circuit 100, the fault analyzer 300 in this application is further used for:

[0080] When the track circuit 100 does not have a red light band fault, perform windowing processing after filtering the target frequency signal;

[0081] Perform FFT transformation on the windowed target frequency signal to obtain the signal amplitude-frequency characteristic spectrum line;

[0082] Analyze the signal amplitude-frequency characteristic spectrum line to obtain the carrier frequency information;

[0083] Judge whether the target track circuit 100 has a fault by comparing the carrier frequency information with the preset carrier frequency information matched with the target track circuit 100.

[0084] In this embodiment, in order to further judge whether there are other faults in the track circuit, see Figure 4 , if the track circuit 100 is not a "red light band" fault, the following steps need to be executed:

[0085] Step S101: Filter the received signal;

[0086] Step S102: Perform windowing processing using a Hanning window;

[0087] Step S103: Then perform FFT transformation to obtain the signal amplitude-frequency characteristic spectrum line;

[0088] Step S104: Obtain the carrier frequency information from the spectrum line;

[0089] Step S105: Compare the obtained carrier frequency information with the railway standard carrier frequency information to judge whether a fault occurs. If a fault occurs, generate a drive signal and send it to the drive circuit, and perform fault type judgment to guide the maintenance personnel to perform equipment maintenance. Among them, the railway standard carrier frequency information is the preset carrier frequency information set in advance, and the railway standard carrier frequency information corresponding to each different track circuit 100 is different. The frequency of the railway standard carrier frequency information is the signal frequency of the track circuit 100 under normal conditions;

[0090] Step S106: When the error is within the allowable range, judge whether other frequencies of carrier frequencies are mixed in the carrier frequency information.

[0091] For example, when analyzing the data of a certain track section, first, the data collected by the signal collector (the collected data can be the rail surface voltage corresponding to the track circuit 100) is displayed in the form of a waveform, and the display type is a time-domain graph of "voltage value - time". The rail surface voltage of the circuit is the FSK frequency shift keying signal of the track circuit 100. Next, FFT Fourier transform is used for frequency analysis. First, the time-domain signal is filtered, and a Hanning window is used for windowing, and then the FFT transform is performed to obtain the signal spectrum characteristic spectrum line. The carrier frequency information can be obtained from the spectrum line. If the track circuit 100 is working properly, then the frequency corresponding to the highest position of the carrier frequency information is about 1700 Hz (the frequency of the normal rail surface voltage of the track circuit 100 is 1700 Hz), and the frequencies with higher spectrum line amplitudes are basically concentrated near 1700 Hz, indicating that no other section frequencies are mixed in this section. Further extract the mixed single-frequency frequency. The railway stipulates that the standard center frequency corresponding to the track circuit 100 is 1698.7 Hz. In this way, by comparing the measured value with the standard value, if the error is within 1 Hz, it means that the measured data is normal. Then, it is judged whether the frequencies of adjacent sections are mixed. If it is normal, the data will not contain other frequency bands. At this time, it can be judged that the track circuit 100 equipment is normal and there is no need to switch to the axle counter 200 equipment. If it is not normal, a drive signal is generated and sent to the drive module.

[0092] In the technical solution disclosed in the embodiment of the present application, a fault tree can be established in advance. When the track circuit 100 fails, the fault tree can be pushed to the staff to facilitate the staff to quickly repair the track circuit 100. In this solution, the minimum cut sets of the fault tree are respectively the receiving-end matching transformer fault, the receiving-end air-core coil fault, the receiving-end tuning unit fault, the compensation capacitor fault, the track bed resistance being too low, the sending-end matching transformer fault, the sending-end SPT cable fault, the sending-end air-core coil fault, and the sending-end tuning unit fault. When a fault occurs in the outdoor equipment of the track circuit 100, the occurrence of the basic events of the compensation capacitor fault, the track bed resistance being too low, the sending-end matching transformer fault, the sending-end SPT cable fault, the sending-end air-core coil fault, and the sending-end tuning unit fault will all cause the rail surface voltage at the receiving end to be too low. Whether the basic events of the receiving-end matching transformer fault, the receiving-end air-core coil fault, and the receiving-end tuning unit fault occur or not has no effect on the rail surface voltage at the receiving end. Among them, the occurrence of the basic events of the sending-end matching transformer fault, the sending-end SPT cable fault, the sending-end air-core coil fault, and the sending-end tuning unit fault will all cause the rail surface voltage at the sending end to be too low, while the basic events of the compensation capacitor fault and the track bed resistance being too low have no effect on the rail surface voltage at the sending end. When the basic events of the compensation capacitor fault and the track bed resistance being too low occur, it will cause the rail surface voltage at the receiving end to be too low. At this time, whether the rail surface voltage at the sending end is normal or low will cause the track circuit 100 to have a red light band fault.

[0093] According to the expert system and the actual equipment failure statistics results, the failure probabilities of each minimal cut set can be set respectively. Through formula calculation, the importance degrees of each minimal cut set for the 100% red light band of the track circuit can be obtained respectively. The magnitude of the importance degree indicates the magnitude of its failure probability. In this way, when a failure occurs in the outdoor equipment of the track circuit 100, the maintenance personnel can be guided to repair the relevant equipment according to the importance degree.

[0094] In addition, the present application also provides a driving circuit as described above. Refer to Figure 5 The driving circuit includes:

[0095] A safety relay 401, a first GJ relay 402, a second GJ relay 403, and a total GJ relay 404;

[0096] The control signal input end of the safety relay is used to obtain the trigger signal output by the fault analyzer 300. When the trigger signal is obtained, the normally open node of the controller closes;

[0097] The first end of the normally open node is connected to the total GJ relay through the first GJ relay;

[0098] The second end of the normally open node is connected to the total GJ relay through the second GJ relay;

[0099] The energization state of the first GJ relay is controlled by the output signal of the track circuit 100, and the energization state of the second GJ relay is controlled by the output signal of the axle counter 200;

[0100] The first end of the normally open node is also connected to an external power supply.

[0101] In this solution, it is determined whether there is a vehicle in the area by whether the total GJ relay is energized or not. When the track circuit 100 has no fault, the normally open node of the safety relay is disconnected. If the track circuit 100 detects a vehicle in the target section, the first relay is controlled to disconnect. At this time, the external power supply is open-circuited with the total GJ relay, and the total GJ relay is disconnected. It is indicated that there is a vehicle in this section by the disconnection of the total GJ relay. If the track circuit 100 detects that there is no vehicle in the target section, the first relay GJ is controlled to be energized. At this time, the external power supply is conducted with the total GJ relay, and the total GJ relay is energized. It is indicated that there is a vehicle in this section by the energization of the total GJ relay. When the track circuit 100 has a fault, the normally open node of the safety relay is closed, and the first relay GJ corresponding to the track circuit 100 is in the disconnected state. If the axle counter 200 detects a vehicle in the target section, the first relay is controlled to disconnect. At this time, the external power supply is open-circuited with the total GJ relay, and the total GJ relay is disconnected. It is indicated that there is a vehicle in this section by the disconnection of the total GJ relay. If the axle counter 200 detects that there is no vehicle in the target section, the first relay GJ is controlled to be energized. At this time, the external power supply is conducted with the total GJ relay, and the total GJ relay is energized. It is indicated that there is a vehicle in this section by the energization of the total GJ relay.

[0102] The various embodiments in this specification are described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The same or similar parts among the various embodiments can be referred to each other. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple. For the relevant parts, reference can be made to the description in the method section.

[0103] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art. The general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent diagnosis and processing system for the status of track circuits, characterized in that, it includes: Track circuits, axle counters, fault analyzers, and drive circuits; The transmitting device and receiving device of the track circuit are respectively located on both sides of the track in the measured target area; Two wheel detection sensors of the axle counter are arranged on both sides of the track in the measured target area respectively; The fault analyzer is used to detect faults in the track circuit. When a track circuit fault is detected, a trigger signal is output to the drive circuit; The drive circuit is used to control the axle counter to detect the idle state of the track in the measured target area when the track circuit fails; Wherein, the fault analyzer is specifically used for: Judging whether a target frequency signal matching the target track circuit is obtained. The target frequency signal is obtained by collecting the signal transmitted by the transmitting device of the target track circuit; When the target frequency signal is not detected, judging whether two frequency signals adjacent to the target frequency signal set in advance are obtained; If two frequency signals adjacent to the target frequency signal are obtained, it is determined that a red light band fault occurs in the target track circuit; When a red light band fault occurs in the track circuit, control the axle counter to detect the idle state of the track in the measured target area.

2. The intelligent diagnosis and processing system for the status of track circuits according to claim 1, characterized in that, The number of the track circuits, axle counters, fault analyzers, and drive circuits is N. Each group of track circuits, axle counters, fault analyzers, and drive circuits corresponds to a section of the track in the measured target area, and N is a positive integer not less than 2.

3. The intelligent diagnosis and processing system for the status of track circuits according to claim 1, characterized in that, The fault analyzer includes: A signal collector and a signal analyzer; The signal collector is used to collect the status information of the track circuit in real time. The status information includes the voltage and frequency of the track circuit, and sends the status information to the signal analyzer; The signal analyzer is used to output a fault signal matching the status information.

4. The intelligent diagnosis and processing system for the status of track circuits according to claim 3, characterized in that, The signal collector includes: An operational amplifier; An ADC converter, the input end of the ADC converter is connected to the output end of the operational amplifier; An adjustable shunt reference source, the output end of the adjustable shunt reference source is connected to the reference signal input end of the ADC converter; An FPGA and an opto-coupler isolator, the FPGA is connected to the ADC converter through the opto-coupler isolator; A wireless communication module, the wireless communication module is connected to the FPGA and is used to realize data interaction between the FPGA and the signal analyzer.

5. The intelligent diagnosis and processing system for the status of track circuits according to claim 1, characterized in that, The drive circuit includes: A safety relay, a first GJ relay, a second GJ relay, and a total GJ relay; The control signal input terminal of the safety relay is used to obtain the trigger signal output by the fault analyzer. When the trigger signal is obtained, the normally open node of the controller closes; The first end of the normally open node is connected to the total GJ relay through the first GJ relay; The second end of the normally open node is connected to the total GJ relay through the second GJ relay; The energization state of the first GJ relay is controlled by the output signal of the track circuit, and the energization state of the second GJ relay is controlled by the output signal of the axle counter; The first end of the normally open node is also connected to an external power supply.

6. The intelligent diagnosis and processing system for track circuit state according to claim 1, wherein, The track circuit further includes: a first tuning unit matched with the sending device and a second tuning unit matched with the receiving device.

7. The intelligent diagnosis and processing system for track circuit state according to claim 1, wherein, The signal frequencies in two adjacent track circuits are different.

8. The intelligent diagnosis and processing system for track circuit state according to claim 1, wherein, The fault analyzer is further configured to: When there is no red light band fault in the track circuit, perform windowing processing after filtering the target frequency signal; Perform FFT transformation on the windowed target frequency signal to obtain the signal amplitude-frequency characteristic spectrum line; Analyze the signal amplitude-frequency characteristic spectrum line to obtain the carrier frequency information; Judge whether the target track circuit has a fault by comparing the carrier frequency information with the preset carrier frequency information matched with the target track circuit.

Images