Track insulation remote online monitoring device and system

Abstract

The utility model provides a track insulation remote on-line monitoring device and system, and belongs to the technical field of safety monitoring. The monitoring device comprises monitoring lines arranged at the two ends of a guide rail insulation joint, a multi-parameter acquisition module, a processing unit and a communication module. The multi-parameter acquisition module, the processing unit and the communication module are electrically connected in sequence, and the processing unit is used for being in communication connection with a fault indication unit in a monitoring line; the monitoring line further comprises distributed segmented sensors, the distributed segmented sensors are arranged along the guide rail at intervals, and the distributed segmented sensors are in communication connection with the processing unit. According to the utility model, the technical problem that in the prior art, current signals are monitored only through a phase-sensitive current sensor, and the dimension for judging insulation joint damage monitoring is relatively single can be effectively solved, the limitation of single current detection in the prior art is overcome, and more accurate fault diagnosis is realized.

Description

Technical Field

[0001] The utility model relates to the technical field of track safety monitoring, in particular to a track insulation remote online monitoring device and system. Background Art

[0002] At the on-site stage, the domestic railway department does not have a mature monitoring method for rail breakage or insulation damage, as well as changes in switch conditions. When typical characteristics such as rail breakage or poor insulation occur, it is unable to respond promptly and quickly.

[0003] Track circuit insulation joints are a core component of railway signaling systems. Their function is to divide the guide rails into independent electrical sections through insulators, ensuring the proper functioning of the track circuits. The performance of these joints directly impacts train safety and signal transmission reliability. However, due to long-term exposure to complex environments (such as temperature and humidity fluctuations, mechanical vibration, and chemical corrosion), these joints are susceptible to aging, damage, or breakdown, leading to a decrease in insulation resistance or even complete failure. Traditional monitoring methods primarily rely on the following methods, but these methods all present significant technical limitations and safety risks.

[0004] Inspection personnel are required to regularly visually inspect the appearance of insulation joints (such as cracks, stains, etc.) along the track lines and use simple tools to perform random measurements. Manual inspections have limited coverage, making it difficult to achieve all-weather, full-section monitoring, and resulting in a high rate of missed inspections. Inspections rely on personnel's experience and judgment, and are easily affected by factors such as ambient light and viewing angle, resulting in poor consistency in inspection results. There is a risk of electric shock when working near live tracks, and working conditions are harsh in inclement weather.

[0005] In actual use, a single phase-sensitive current sensor is also used to monitor the current signal and determine whether the insulation joint is damaged, but the monitoring dimension is relatively single. Utility Model Content

[0006] The purpose of the present utility model is to provide a remote online monitoring device and system for track insulation, which can effectively solve the technical problem that the existing technology only monitors current signals through phase-sensitive current sensors to judge insulation joint damage and has a relatively single monitoring dimension. The present utility model overcomes the limitations of single current detection in the existing technology and realizes more accurate fault diagnosis.

[0007] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0008] A track insulation remote online monitoring device includes monitoring circuits arranged at both ends of the guide rail insulation joint. The utility model also includes a multi-parameter acquisition module, a processing unit and a communication module.

[0009] The multi-parameter acquisition module, the processing unit and the communication module are electrically connected in sequence, the processing unit is used to communicate with the fault indication unit in the monitoring line, and the fault indication unit is used to connect with the phase-sensitive current sensor of the monitoring line;

[0010] The monitoring line also includes distributed segmented sensors, which are deployed at intervals along the guide rail and are communicatively connected to the processing unit.

[0011] In one embodiment disclosed in the present utility model, the multi-parameter acquisition module includes a voltage monitoring module, a vibration sensor and an infrared temperature sensor. The voltage monitoring module is used to collect voltage signals at both ends of the insulating joint, the vibration sensor is used to detect and collect mechanical vibration signals at both ends of the insulating joint, and the infrared temperature sensor is used to detect temperature signals.

[0012] In one embodiment disclosed in the present invention, the multi-parameter acquisition module further includes a signal conditioning circuit, and the signal conditioning circuit includes a digital filtering module for performing noise reduction processing on current, voltage, vibration and temperature signals.

[0013] In one embodiment disclosed in the present invention, the processing unit includes an analog quantity acquisition module, which is electrically connected to the phase-sensitive current sensor and the multi-parameter acquisition module respectively.

[0014] In one embodiment disclosed in the present utility model, the communication module includes a main communication unit and a redundant communication unit, the main communication unit is a GPRS / 5G communication module, the redundant communication unit is a LoRa relay module or a satellite communication module, and the main communication unit and the redundant communication unit are connected to the processing unit in parallel.

[0015] In one embodiment disclosed in the present utility model, the monitoring circuit also includes an independent power supply system, which includes a solar panel, a battery and a power management module. The solar panel is electrically connected to the battery, and the battery supplies power to the monitoring circuit through the power management module.

[0016] In one embodiment disclosed in the present utility model, the fault indication unit includes a local indicator light group and a remote warning module. The local indicator light group includes a graded alarm indicator light. The remote warning module is connected to the railway electrical section operation and maintenance cloud platform through a communication module. The operation and maintenance cloud platform is equipped with a real-time data dashboard and an automatic work order system.

[0017] The phase-sensitive current sensor, multi-parameter acquisition module and processing unit are integrated in a waterproof and shockproof housing, and the housing is made of corrosion-resistant material.

[0018] In addition, the utility model also discloses a track insulation remote online monitoring system, which includes a cloud platform arranged at a remote end, a monitoring terminal connected to the cloud platform, and the track insulation remote online monitoring device described above.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] This utility model uses a multi-parameter acquisition module to detect voltage, vibration, and temperature, and integrates it with the monitoring circuit to monitor current signals. This utility model integrates current, voltage, vibration, and temperature parameters to achieve multi-dimensional and precise monitoring. This utility model can effectively solve the technical problem of the existing technology that only uses phase-sensitive current sensors to monitor current signals and determine insulation damage, and the monitoring dimension is relatively single. This utility model overcomes the limitations of the existing technology of single current detection and achieves more accurate fault diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0022] Figure 1 This is the overall principle block diagram of the utility model.

[0023] Figure 2 This is a schematic diagram of the principle of the monitoring circuit of this utility model.

[0024] Figure 3 This is a schematic diagram of the connection relationship between the utility model and the guide rail when in use.

[0025] Figure 4 This is a connection diagram of the multi-parameter acquisition module, processing unit and communication module of the utility model.

[0026] Reference numerals:

[0027] 101 guide rail, 102 guide rail insulation joint, 103 multi-parameter acquisition module, 104 processing unit, 105 communication module, 106 choke transformer, 107 phase-sensitive current sensor, 108 fault indication unit, 109 voltage monitoring module, 110 vibration sensor, 111 infrared temperature sensor. DETAILED DESCRIPTION

[0028] Hereinafter, only certain exemplary embodiments are briefly described. As will be appreciated by those skilled in the art, the described embodiments may be modified in various ways without departing from the spirit or scope of the embodiments of the present invention. Therefore, the drawings and description are to be regarded as illustrative in nature and not restrictive.

[0029] In the description of the embodiments of the present invention, it should be understood that the terms "length", "vertical", "horizontal", "top", "bottom", etc. indicating the orientation or position relationship are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing the embodiments of the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the embodiments of the present invention.

[0030] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Thus, features defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present invention, "plurality" means two or more, unless otherwise specifically defined.

[0031] In the embodiments of the present invention, unless otherwise expressly specified or limited, the terms "installed," "connected," "connected," "fixed," etc. should be understood in a broad sense. For example, they can refer to fixed connection, detachable connection, or integration; mechanical connection, electrical connection, or communication; direct connection or indirect connection through an intermediate medium; internal communication between two components or interaction between two components. Those skilled in the art can understand the specific meanings of the above terms in the embodiments of the present invention based on specific circumstances.

[0032] In the embodiments of the present invention, unless otherwise expressly specified or limited, a first feature being "above" or "below" a second feature may include the first and second features being in direct contact, or may include the first and second features being in contact not directly but through another feature between them. Moreover, a first feature being "above," "above," and "above" a second feature includes the first feature being directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. A first feature being "below," "below," and "below" a second feature includes the first feature being directly above and obliquely above the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0033] The disclosure below provides many different embodiments or examples for implementing different structures of the embodiments of the present invention. In order to simplify the disclosure of the embodiments of the present invention, the components and settings of specific examples are described below. Of course, these are merely examples and are not intended to limit the embodiments of the present invention. In addition, the embodiments of the present invention may repeat reference numbers and / or reference letters in different examples. Such repetition is for the purpose of simplicity and clarity and does not in itself indicate the relationship between the various embodiments and / or settings discussed.

[0034] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0035] See Figure 1-Figure 4 This embodiment discloses a remote online monitoring device for rail insulation, including monitoring circuits provided at both ends of a rail insulation joint 102 on a guide rail 101. This embodiment also includes a multi-parameter acquisition module 103, a processing unit 104, and a communication module 105.

[0036] In this embodiment, the monitoring circuit includes a choke transformer 106, a phase-sensitive current sensor 107, and a fault indication unit 108. The input end of the choke transformer 106 is connected to the GJF track power supply and the GJZ track power supply, and the output end is connected to the guide rail 101. The two monitoring circuits on the same side and the guide rail 101 form a monitoring loop. The two loops on both sides are interconnected by a cable. The phase-sensitive current sensor 107 is connected to the fault indication unit 108. The fault indication unit 108 is used to connect to the phase-sensitive current sensor 107 of the monitoring circuit;

[0037] The multi-parameter acquisition module 103, the processing unit 104 and the communication module 105 are electrically connected in sequence, and the processing unit 104 is used to communicate with the fault indication unit 108 in the monitoring circuit;

[0038] The monitoring circuit further includes distributed segmented sensors, which are deployed at intervals along the guide rail 101 and are communicatively connected to the processing unit 104 .

[0039] The phase-sensitive current sensor 107 is a Rogowski coil, which is provided at the output end of the choke transformer 106 .

[0040] In this embodiment, choke transformer 106 is connected to the GJF and GJZ track power supplies, transmitting the traction current to the guide rails through the principle of electromagnetic induction. The output of choke transformer 106 is connected to guide rail 101, forming a closed monitoring loop. When an insulation joint is damaged, the current on both sides of the loop is split through the cable, and the insulation condition is determined by monitoring the split current.

[0041] In this embodiment, the distributed segmented sensors can employ Hall-effect current sensors, such as the ACS712, to collect real-time current data from each segment of the guide rail 101. The processing unit then uses a current differential algorithm to calculate the fault location. For example, when an insulation joint is damaged, the currents of adjacent sensors differ significantly. This allows for meter-level positioning (accuracy of ±1m) when combined with a line impedance model. This application only addresses the application of the current differential algorithm and line impedance model, and does not involve modifications to these algorithms or models, which are not detailed here.

[0042] In this utility model, distributed segmented sensors are deployed at 50-meter intervals along guide rail 101. Under normal circumstances, the currents at adjacent nodes are consistent. In the event of a fault, the current is diverted away from the damaged point, and the current difference between adjacent nodes is proportional to the distance (formula: L = (I1-I2) / k, where k is the impedance per unit length of guide rail 101). Positioning accuracy is ≤ 2 meters. For example, the original method for troubleshooting a 10-kilometer section of guide rail 101 required 2-3 people and 4 hours. With this improvement, fault locations are marked in real time on a cloud-based GIS map, allowing maintenance teams to arrive directly at the site, reducing processing time to under 30 minutes and significantly improving efficiency.

[0043] Among them, the multi-parameter acquisition module 103 includes a voltage monitoring module 109, a vibration sensor 110 and an infrared temperature sensor 111. The voltage monitoring module 109 is used to collect voltage signals at both ends of the insulation joint, the vibration sensor 110 is used to detect and collect mechanical vibration signals at both ends of the insulation joint, and the infrared temperature sensor 111 is used to detect temperature signals to achieve multi-dimensional diagnosis of electrical, mechanical and thermodynamics.

[0044] Furthermore, in actual use, the multi-parameter acquisition module 103 also includes a signal conditioning circuit, which includes a digital filter module for noise reduction processing of current, voltage, vibration, and temperature signals. For the 25Hz track current signal, an IIR low-pass filter with a cutoff frequency of 50Hz is used to attenuate high-frequency interference and improve the signal-to-noise ratio to 30dB. Wavelet threshold denoising is applied to the vibration signal to effectively separate impact noise from the valid signal. The signal conditioning circuit is a key interface between the sensor and the data acquisition system. Its core function is to pre-process the raw sensor signal to eliminate noise, enhance the valid signal, and adapt it to the input requirements of subsequent processing units. In the remote online monitoring system for track insulation, the signal conditioning circuit must process multiple types of signals (current, voltage, vibration, and temperature). To achieve current and vibration signal processing and temperature signal calibration, the differential signal (dI / dt) output by the Rogowski coil is converted to the true current value through an integration circuit, such as an OPA2188 op amp + RC network, and then passed through a low-pass filter to suppress high-frequency noise. The output of the vibration sensor 110 is amplified by a charge amplifier and then filtered through a bandpass filter (0.1Hz-2kHz) to extract the effective mechanical vibration spectrum to avoid high-frequency interference during train operation. At the same time, the analog output of the infrared temperature sensor 111 is converted into a digital signal through a linearization circuit and then digitally filtered to eliminate the influence of ambient temperature fluctuations.

[0045] The application of the signal conditioning circuit in this utility model significantly improves the data quality of the track insulation monitoring system. This application does not involve improvements to the signal conditioning circuit. Those skilled in the art can adapt the signal conditioning circuit in the description of this utility model, and its specific structure is not repeated here.

[0046] Furthermore, the processing unit 104 includes an analog quantity acquisition module, which is electrically connected to the phase-sensitive current sensor 107 and the multi-parameter acquisition module 103 respectively.

[0047] The analog acquisition module can use ADS1256, a 24-bit high-precision ADC, which supports 8-channel synchronous sampling, a sampling rate of 10kSPS, and a dynamic range of 110dB. It can synchronously acquire current, voltage, vibration, and temperature signals and eliminate phase errors caused by time offset.

[0048] Furthermore, in some preferred implementation cases, the communication module 105 includes a main communication unit and a redundant communication unit, the main communication unit is a GPRS / 5G communication module 105, and the redundant communication unit is a LoRa relay module or a satellite communication module 105, and the main communication unit and the redundant communication unit are connected to the processing unit 104 in parallel.

[0049] Furthermore, the main communication unit uses a 5G communication module 105, which is based on the 3GPP Rel.16 standard, supports SA / NSA networking, has an uplink rate of >100Mbps, and a latency of <20ms, meeting real-time data transmission requirements.

[0050] The redundant communication unit is a LoRa relay module, which uses CSS modulation technology (Chirp Spread Spectrum). At a 1% duty cycle, the communication range reaches 15km, while consuming only 10mW. This utility model dynamically switches the primary and backup links based on signal strength (RSSI) and bit error rate (BER).

[0051] Furthermore, the monitoring circuit also includes an independent power supply system, which includes a solar panel, a battery and a power management module. The solar panel is electrically connected to the battery, and the battery supplies power to the monitoring circuit through the power management module.

[0052] Among them, the fault indication unit 108 includes a local indicator light group and a remote warning module. The local indicator light group includes a graded alarm indicator light. The remote warning module is connected to the railway electrical section operation and maintenance cloud platform through the communication module 105. The operation and maintenance cloud platform is equipped with a real-time data dashboard and an automatic work order system.

[0053] Furthermore, in some preferred implementation cases, the phase-sensitive current sensor 107, the multi-parameter acquisition module 103 and the processing unit 104 are integrated into a waterproof and shockproof housing, and the housing is made of corrosion-resistant material.

[0054] This embodiment also discloses a remote online monitoring system for track insulation, comprising a remote cloud platform, a monitoring terminal connected to the cloud platform, and the aforementioned remote online monitoring device for track insulation. In actual use, the system connects to the remote cloud platform via a communication module, allowing operators to conduct remote monitoring.

[0055] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0056] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. It should be pointed out that any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A remote online monitoring device for rail insulation, comprising monitoring circuits provided at both ends of a guide rail insulation joint, characterized in that: It also includes a multi-parameter acquisition module, a processing unit and a communication module; The multi-parameter acquisition module, the processing unit and the communication module are electrically connected in sequence, the processing unit is used to communicate with the fault indication unit in the monitoring line, and the fault indication unit is used to connect with the phase-sensitive current sensor of the monitoring line; The monitoring line also includes distributed segmented sensors, which are deployed at intervals along the guide rail and are communicatively connected to the processing unit.

2. A track insulation remote online monitoring device according to claim 1, characterized in that: The multi-parameter acquisition module includes a voltage monitoring module, a vibration sensor and an infrared temperature sensor. The voltage monitoring module is used to collect voltage signals at both ends of the insulation joint, the vibration sensor is used to detect and collect mechanical vibration signals at both ends of the insulation joint, and the infrared temperature sensor is used to detect temperature signals.

3. The track insulation remote online monitoring device according to claim 2, characterized in that: The multi-parameter acquisition module also includes a signal conditioning circuit, which includes a digital filtering module for performing noise reduction processing on current, voltage, vibration and temperature signals.

4. The track insulation remote online monitoring device according to claim 1, characterized in that: The processing unit includes an analog quantity acquisition module, which is electrically connected to the phase-sensitive current sensor and the multi-parameter acquisition module respectively.

5. The track insulation remote online monitoring device according to claim 1, characterized in that: The communication module includes a main communication unit and a redundant communication unit, the main communication unit is a GPRS / 5G communication module, the redundant communication unit is a LoRa relay module or a satellite communication module, and the main communication unit and the redundant communication unit are connected to the processing unit in parallel.

6. The track insulation remote online monitoring device according to claim 1, characterized in that: The monitoring circuit also includes an independent power supply system, which includes a solar panel, a battery and a power management module. The solar panel is electrically connected to the battery, and the battery supplies power to the monitoring circuit through the power management module.

7. The track insulation remote online monitoring device according to claim 1, characterized in that: The fault indication unit includes a local indicator light group and a remote warning module. The local indicator light group includes a graded alarm indicator light. The remote warning module is connected to the railway electrical section operation and maintenance cloud platform through a communication module. The operation and maintenance cloud platform is equipped with a real-time data dashboard and an automatic work order system.

8. The track insulation remote online monitoring device according to claim 1, characterized in that: The phase-sensitive current sensor, multi-parameter acquisition module and processing unit are integrated in a waterproof and shockproof casing made of corrosion-resistant materials.

9. A track insulation remote online monitoring system, characterized by: It comprises a cloud platform arranged at a remote end, a monitoring terminal connected to the cloud platform and a track insulation remote online monitoring device, wherein the track insulation remote online monitoring device is the track insulation remote online monitoring device according to any one of claims 1-8.

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