Abnormal noise monitoring device for running gear of rail train

Abstract

The invention discloses an abnormal sound monitoring device for a running gear of a rail train. The abnormal sound monitoring device comprises abnormal sound acquisition equipment, an intelligent terminal and data sharing equipment, the abnormal sound collection device collects abnormal sound signals generated in the train running process and comprises a support, a protection shell and an abnormal sound collection module. Wherein the abnormal sound acquisition module comprises a microphone array unit, an abnormal sound processing unit and a communication unit which are fixedly connected through connecting blocks; the intelligent terminal is in communication connection with the communication unit and is used for receiving and processing the abnormal sound signal; the data sharing device is in communication connection with the intelligent terminal and supports data storage and remote sharing. According to the monitoring device, through high-precision abnormal sound collection, efficient internal communication, stable external connection and comprehensive data management and remote sharing, the monitoring accuracy and reliability of the train running gear are remarkably improved, and a powerful guarantee is provided for safe operation of railway transportation.

Description

Technical Field

[0001] The invention relates to the field of rail train monitoring devices, and more particularly to an abnormal sound monitoring device for a rail train running gear. Background Art

[0002] In the field of train operation monitoring and maintenance, timely detection and handling of potential faults in train running gear is crucial to ensure the safety and reliability of train operation. Traditional methods for monitoring train running gear mainly include manual inspection and simple sound monitoring. However, these methods have many shortcomings.

[0003] Manual inspection is not only time-consuming and laborious, but also limited by the experience and skill level of the inspectors, making it difficult to timely discover and accurately locate potential faults in the train running gear. At the same time, with the continuous increase in train speed and the continuous increase in the number of trains, the efficiency and accuracy of manual inspection can no longer meet the needs of modern train operation and maintenance.

[0004] On the other hand, although simple sound monitoring methods can reflect the running status of the train running gear to a certain extent, due to its limited ability to collect and process sound signals, it is often unable to accurately identify the source and nature of abnormal sound signals. In addition, the sound monitoring method is also easily interfered by environmental noise, resulting in reduced accuracy and reliability of the monitoring results.

[0005] Therefore, in order to overcome the shortcomings of traditional monitoring methods and improve the accuracy and efficiency of train running gear monitoring, a variety of new train running gear abnormal sound monitoring devices have emerged in recent years. These devices usually use advanced sensor technology and signal processing technology to accurately collect and process abnormal sound signals during train operation, and timely detect and handle potential faults.

[0006] However, there are still some problems with the existing train running gear abnormal sound monitoring devices. For example, some devices are easily affected by environmental factors when collecting and processing abnormal sound signals, resulting in reduced stability and reliability of monitoring results. In addition, some devices also have deficiencies in data transmission and storage, and cannot meet the requirements of modern train operation and maintenance for data security, convenience and scalability.

[0007] Therefore, how to design a railway train running gear abnormal sound monitoring device to achieve accurate collection and processing of abnormal sound signals during train operation and provide strong support for subsequent fault analysis and maintenance is an urgent problem that technical personnel in this field need to solve. Summary of the invention

[0008] In view of this, the present invention provides an abnormal sound monitoring device for the running gear of a railway train, which realizes the accurate collection and processing of abnormal sound signals during the operation of the train by adopting a high-sensitivity MEMS microphone array unit and an abnormal sound processing unit integrated with a digital signal processor DSP, as well as a reasonably designed protective shell and bracket structure.

[0009] In order to achieve the above object, the present invention adopts the following technical solution:

[0010] A railway train running gear abnormal sound monitoring device, comprising: an abnormal sound collection device, an intelligent terminal and a data sharing device;

[0011] The abnormal sound collection device collects abnormal sound signals generated during the operation of the train, and includes a bracket, a protective shell and an abnormal sound collection module; wherein the abnormal sound collection module includes a microphone array unit, an abnormal sound processing unit and a communication unit fixedly connected by a connecting block;

[0012] The intelligent terminal is communicatively connected with the communication unit to receive and process the abnormal sound signal;

[0013] The data sharing device is connected to the intelligent terminal for communication and supports the storage and remote sharing of data.

[0014] Preferably, the bracket is made of aluminum alloy material, and is provided with a plurality of first connection holes for fixed installation around it, so that the abnormal sound collection device is fixedly installed in the area above the contact point between the wheel and the track.

[0015] Preferably, the bracket is further provided with a second connection hole, the protective shell is made of ABS engineering plastic with good weather resistance, and is provided with a third connection hole corresponding to the second connection hole;

[0016] The bracket and the protective shell are fixedly connected through the second connecting hole, the third connecting hole and the connecting piece to form a cavity for installing the abnormal sound collection module.

[0017] Preferably, the outer surface of the protective shell is provided with evenly distributed through holes;

[0018] A double-layer protective structure fixed by a pressure strip is attached around the through hole; the double-layer protective structure is provided with a gap, the inner layer is a dustproof net, and the outer layer is a waterproof film.

[0019] Preferably, the microphone array unit, the abnormal sound processing unit and the communication unit are communicatively connected via an LVDS bus.

[0020] Preferably, the microphone array unit adopts a MEMS microphone with a model of XYZ-, which is used to accurately collect abnormal sound signals.

[0021] Preferably, the abnormal sound processing unit is integrated with a digital signal processor DSP, model TMSC, which is used for filtering and noise reduction processing of the collected abnormal sound signals.

[0022] Preferably, the communication unit uses Wi-Fi or Bluetooth for wireless communication, model DEF-, and is used for wireless communication with a smart terminal.

[0023] Preferably, the intelligent terminal is a tablet computer, a smart phone or other mobile device, which is equipped with a wireless communication interface matching the communication unit and data processing software for identifying abnormal sound signals transmitted by the communication unit.

[0024] Preferably, the data sharing device is a cloud server or a data center, which is connected to a smart terminal via Wi-Fi, a cellular network or a wide area network NB-IoT to store monitoring data; and provides a process access interface under the HTTPS protocol to support data sharing.

[0025] It can be seen from the above technical solution that compared with the prior art, the technical solution of the present invention has the following advantages:

[0026] Beneficial effects:

[0027] 1. The train running gear abnormal sound monitoring device in this device adopts advanced MEMS microphone array unit, which can accurately collect weak abnormal sound signals during train operation. And the abnormal sound processing unit integrates a high-performance digital signal processor DSP, which can perform real-time filtering and noise reduction on the collected abnormal sound signals, further improving the quality and reliability of the signal.

[0028] 2. The internal microphone array unit, abnormal sound processing unit and communication unit are connected through the LVDS bus. It can ensure the efficiency and stability of internal data transmission. The communication unit uses wireless communication technologies such as Wi-Fi or Bluetooth to communicate with the smart terminal wirelessly. The internal and external communication solution ensures the efficient operation of the entire monitoring system and the reliability of data transmission.

[0029] 3. The data sharing device is a cloud server or data center, which is connected to the smart terminal through Wi-Fi, cellular network or wide area network NB-IoT, and can store and remotely share monitoring data in real time. It also supports efficient management and analysis of massive data, and provides comprehensive data management and remote sharing capabilities, so that railway operation managers can obtain the latest monitoring data at any location and at any time, take necessary maintenance measures in a timely manner, and improve the safety and reliability of train operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0031] Figure 1 A schematic diagram of a railway train running gear abnormal noise monitoring device provided by an embodiment of the present invention;

[0032] Figure 2 A schematic diagram of an abnormal sound collection device provided in an embodiment of the present invention;

[0033] In the figure, 1-abnormal sound collection device, 2-intelligent terminal, 3-data sharing device, 11-bracket, 12-protective shell, 13-abnormal sound collection module, 111-first connecting hole, 112-second connecting hole, 121-third connecting hole, 122-through hole, 131-microphone array unit, 132-abnormal sound processing unit, 133-communication unit. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] like Figure 1 As shown, this embodiment provides a railway train running gear abnormal sound monitoring device, including: an abnormal sound collection device 1, an intelligent terminal 2 and a data sharing device 3;

[0036] The abnormal sound collection device 1 collects abnormal sound signals generated during the operation of the train, and includes a bracket 11, a protective shell 12 and an abnormal sound collection module 13; wherein the abnormal sound collection module 13 includes a microphone array unit 131, an abnormal sound processing unit 132 and a communication unit 133 fixedly connected by a connecting block;

[0037] The intelligent terminal 2 is communicatively connected with the communication unit 133 to receive and process the abnormal sound signal;

[0038] The data sharing device 3 is in communication connection with the intelligent terminal 2 to support the storage and remote sharing of data.

[0039] The railway train running gear abnormal sound monitoring device provided in this embodiment realizes the accurate collection, real-time processing and remote sharing of abnormal sound signals during train operation by integrating abnormal sound collection equipment, intelligent terminals and data sharing equipment, thereby effectively improving the accuracy and efficiency of train running gear fault monitoring.

[0040] The following is a further description of the relevant technical features of the above device:

[0041] like Figure 2 As shown, the bracket 11 is made of aluminum alloy material, and is provided with a plurality of first connection holes 111 for fixed installation around it, so that the abnormal sound collection device 1 is fixedly installed in the upper area of ​​the contact point between the wheel and the track. Specifically, there is one first connection hole 111 on the top, and two first connection holes 111 on both sides and the bottom. The diameter of each first connection hole 111 is 8mm, and the spacing between adjacent first connection holes 111 on both sides and the bottom is 50mm. Use M8 stainless steel bolts and washers to fix the bracket 11 at the designated position at the bottom of the train to ensure that the equipment will not loosen or fall off during high-speed driving.

[0042] In addition, the bracket 11 is further provided with a second connection hole 112 , and the protective shell 12 is made of ABS engineering plastic with good weather resistance, and is provided with a third connection hole 121 corresponding to the second connection hole 112 ;

[0043] The bracket 11 and the protective shell 12 are fixedly connected through the second connection hole 112 and the third connection hole 121 and the connecting piece to form a cavity for installing the abnormal sound collection module 13. Specifically, there are two third connection holes 121 near each corner of the bottom of the protective shell 12, with a diameter of 6mm, corresponding to the second connection holes 112 on the bracket 11. The protective shell 12 is fixed to the bracket 11 using M6 stainless steel screws and nuts to form a cavity to protect the abnormal sound collection module 13 inside.

[0044] The outer surface of the protective shell 12 is provided with evenly distributed through holes 122; a double-layer protective structure fixed by a pressure strip is attached around the through holes 122; the double-layer protective structure has a gap, the inner layer is a dustproof net, and the outer layer is a waterproof film. Specifically, the inner layer is a fine metal wire mesh with a pore size of less than 0.1mm, and the outer layer is a waterproof film with good air permeability and a thickness of 0.2mm.

[0045] The device uses an aluminum alloy bracket and a weather-resistant ABS engineering plastic protective shell, combined with precisely designed connection holes and fixings, to ensure the stable installation of the abnormal sound collection equipment and the effective protection of the internal components. The setting of the double-layer protection structure further improves the dust and water resistance of the equipment, effectively preventing the influence of the external environment on the monitoring results, thereby improving the accuracy and reliability of abnormal sound signal collection, and providing solid technical support for the health monitoring of the train running gear.

[0046] In this embodiment, the microphone array unit 131, the noise processing unit 132 and the communication unit 133 are connected to each other through the LVDS bus. The LVDS bus uses differential signal transmission, with a transmission rate of up to 1 Gbps and a transmission distance of up to 10 meters.

[0047] The microphone array unit 131 uses a MEMS microphone. The high sensitivity and wide frequency response range of the MEMS microphone ensure the accurate collection of weak abnormal sound signals. The model is XYZ-5678. The sensitivity of each microphone is -26dB and the frequency response range is 20Hz to 20kHz. The microphone array unit 131 adopts a matrix arrangement to ensure the uniform collection of multi-directional sound signals.

[0048] The abnormal sound processing unit 132 integrates a digital signal processor DSP, model TMS320C6748, with a main frequency of 300MHz, which is used to filter and reduce noise on the collected abnormal sound signals. The real-time processing capability of DSP improves the clarity and recognizability of the abnormal sound signals.

[0049] The communication unit 133 uses Wi-Fi or Bluetooth for wireless communication, model DEF-1234, and is used for wireless communication with the intelligent terminal 2. The communication unit 133 has a built-in antenna, and the transmission distance can reach 100 meters. The use of the LVDS bus ensures high speed, low power consumption and anti-interference ability of internal data transmission, and the dual communication modes of Wi-Fi and Bluetooth provide flexible connection options.

[0050] Furthermore, the intelligent terminal 2 is a tablet computer, a smart phone or other mobile device, which has a built-in wireless communication interface matching the communication unit 133 and data processing software for identifying the abnormal sound signal transmitted by the communication unit 133.

[0051] Specifically, the data processing software first decodes and converts the signals, and then extracts key feature parameters such as amplitude, frequency, and frequency band energy through time and frequency domain analysis. Next, the software uses preset thresholds and machine learning algorithms to perform anomaly detection and pattern recognition on the extracted features to determine whether there are potential faults. Finally, the software displays the processing results in real time on the terminal interface, issues an alarm when an anomaly is detected, and records historical data for subsequent analysis.

[0052] Threshold judgment includes: setting a reasonable threshold, and judging it as an abnormal signal when the extracted characteristic parameter exceeds the threshold. For example, if the energy of a certain frequency component suddenly increases, it may indicate a fault.

[0053] Pattern recognition includes: using machine learning algorithms (such as support vector machines, neural networks, etc.) to classify the extracted features and identify different types of abnormal sounds. When training the model, known normal and abnormal signals can be used as sample data.

[0054] In this embodiment, the data sharing device 3 is a cloud server or data center, which is connected to the smart terminal 2 via Wi-Fi, cellular network or wide area network NB-IoT to store monitoring data; and provides a process access interface under the HTTPS protocol to support data sharing.

[0055] The API interface under the HTTPS protocol provides a secure data access method, ensuring the security and privacy protection of data transmission. It also supports cross-platform and cross-device data sharing. Railway company maintenance personnel and managers can remotely access and manage monitoring data through the API interface. It facilitates collaborative work between different departments and institutions and improves the utilization value of data.

[0056] The working process of the abnormal sound monitoring device for the running gear of a railway train in this embodiment is as follows:

[0057] First, the abnormal sound collection device 1 is installed in the area above the contact point between the train wheel and the track, and the stable structure formed by the bracket 11 and the protective shell 12 ensures that the microphone array unit 131 can accurately collect abnormal sound signals during the operation of the train. The microphone array unit 131 captures various sound signals from the train running part through its MEMS microphone with high sensitivity and wide frequency response range.

[0058] The collected abnormal sound signal is then transmitted to the abnormal sound processing unit 132 for processing. The digital signal processor DSP in the abnormal sound processing unit 132 filters and reduces noise on the signal to improve the clarity and recognizability of the signal. The processed signal is transmitted to the communication unit 133 via the LVDS bus at high speed and low power consumption.

[0059] The communication unit 133 uses Wi-Fi or Bluetooth technology to wirelessly transmit the processed abnormal sound signal to the smart terminal 2. After the smart terminal 2 receives the signal, the built-in data processing software decodes and converts the signal format, and extracts key feature parameters through time domain and frequency domain analysis.

[0060] Next, the data processing software uses preset thresholds and machine learning algorithms to perform anomaly detection and pattern recognition on the extracted features. If an abnormal signal is detected or a specific type of abnormal sound is identified, the software will display the processing results in real time and issue an alarm if necessary.

[0061] At the same time, the smart terminal 2 uploads the monitoring data and processing results to the data sharing device 3, such as a cloud server or a data center. The data sharing device 3 maintains a connection with the smart terminal 2 via Wi-Fi, cellular network or wide area network NB-IoT to ensure real-time storage and remote access of the monitoring data.

[0062] The railway company's maintenance personnel and managers can remotely access and manage these monitoring data through the API interface under the HTTPS protocol for further analysis and decision support. During the entire working process, the device ensures the accuracy of abnormal sound signal collection, the reliability of data transmission and the security of data access through a double-layer protection structure and high-quality communication methods.

[0063] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0064] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may 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 rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A railway train running gear abnormal noise monitoring device, characterized in that: include: Abnormal sound collection equipment (1), intelligent terminal (2) and data sharing equipment (3); The abnormal sound collection device (1) collects abnormal sound signals generated during the operation of a train, and comprises a bracket (11), a protective shell (12) and an abnormal sound collection module (13); wherein the abnormal sound collection module (13) comprises a microphone array unit (131), an abnormal sound processing unit (132) and a communication unit (133) which are fixedly connected via a connecting block; The intelligent terminal (2) is in communication connection with the communication unit (133) for receiving and processing the abnormal sound signal; The data sharing device (3) is connected to the intelligent terminal (2) for communication, and supports the storage and remote sharing of data.

2. A railway train running gear abnormal noise monitoring device according to claim 1, characterized in that: The bracket (11) is made of aluminum alloy material and is provided with a plurality of first connection holes (111) for fixed installation on its periphery, so that the abnormal sound collection device (1) is fixedly installed in the area above the contact point between the wheel and the track.

3. A railway train running gear abnormal noise monitoring device according to claim 1, characterized in that: The bracket (11) is further provided with a second connection hole (112); the protective shell (12) is made of ABS engineering plastic with good weather resistance, and is provided with a third connection hole (121) corresponding to the second connection hole (112); The bracket (11) and the protective shell (12) are fixedly connected via the second connection hole (112), the third connection hole (121) and the connecting piece, forming a cavity for installing the abnormal sound collection module (13).

4. The abnormal noise monitoring device for running gear of a railway train according to claim 1, characterized in that: The outer surface of the protective shell (12) is provided with evenly distributed through holes (122); A double-layer protective structure fixed by a pressure strip is attached around the through hole (122); the double-layer protective structure is provided with a gap, the inner layer is a dustproof net, and the outer layer is a waterproof film.

5. The abnormal noise monitoring device for running gear of a railway train according to claim 1, characterized in that: The microphone array unit (131), the abnormal sound processing unit (132) and the communication unit (133) are communicatively connected via an LVDS bus.

6. The abnormal noise monitoring device for running gear of a railway train according to claim 1, characterized in that: The microphone array unit (131) adopts a MEMS microphone, model XYZ-5678, which is used to accurately collect abnormal sound signals.

7. The abnormal noise monitoring device for running gear of a railway train according to claim 1, characterized in that: The abnormal sound processing unit (132) is integrated with a digital signal processor DSP, model TMS320C6748, and is used for filtering and noise reduction processing of the collected abnormal sound signals.

8. The abnormal noise monitoring device for running gear of a railway train according to claim 1, characterized in that: The communication unit (133) uses Wi-Fi or Bluetooth for wireless communication, and its model is DEF-1234, and is used for wireless communication with the intelligent terminal (2).

9. The abnormal noise monitoring device for running gear of a railway train according to claim 1, characterized in that: The intelligent terminal (2) is a tablet computer, a smart phone or other mobile device, and is equipped with a wireless communication interface matching the communication unit (133) and data processing software for identifying abnormal sound signals transmitted by the communication unit (133).

10. The abnormal noise monitoring device for running gear of a railway train according to claim 1, characterized in that: The data sharing device (3) is a cloud server or a data center, which is connected to the smart terminal (2) via Wi-Fi, a cellular network or a wide area network NB-IoT to store monitoring data; and provides a process access interface under the HTTPS protocol to support data sharing.

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