Intelligent detection device for electrified railway electric neutral section

Abstract

The utility model relates to the field of electrified railway, concretely is electrified railway electric neutral section intelligent detection device. Including solar photovoltaic board, super capacitor energy storage module, data processing unit, intelligent early warning unit, remote monitoring unit, contact wire temperature sensor, insulator contamination degree sensor, wire tension sensor, image recognition camera and laser range finder etc. structure. Adopt the utility model can capture more potential fault signal, avoid the hidden danger of missing judgment caused by partial detection loss.

Description

Technical Field

[0001] This utility model relates to the field of electrified railways, specifically to an intelligent detection device for electrical phase separation in electrified railways. Background Technology

[0002] With the continuous development of electrified railways, their operating mileage continues to increase, and train speeds and load capacities are constantly improving, which places higher demands on the reliability and safety of electrical phase-splitting equipment.

[0003] Traditional testing often relies on a single type of sensor or manual inspection, making it difficult to comprehensively assess the equipment status in the electrical phase separation area and easily overlooking potential faults. Utility Model Content

[0004] The present invention aims to provide an intelligent detection device for electrical phase separation in electrified railways to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, this utility model provides the following technical solution:

[0006] An intelligent detection device for phase separation in electrified railways includes a solar photovoltaic panel, a supercapacitor energy storage module, a multi-sensor integrated detection unit, a data processing unit, an intelligent early warning unit, and a remote monitoring unit. The multi-sensor integrated detection unit includes a contact wire temperature sensor, an insulator pollution sensor, a conductor tension sensor, an image recognition camera, and a laser rangefinder. Each of these sensors is connected to a wireless communication module. The wireless communication module is electrically connected to the data processing unit, which is also electrically connected to the intelligent early warning unit. The remote monitoring unit is also electrically connected to the intelligent early warning unit. The supercapacitor energy storage module works in conjunction with the solar photovoltaic panel. The multi-sensor integrated detection unit, data processing unit, intelligent early warning unit, and remote monitoring unit are all electrically connected to the solar photovoltaic panel.

[0007] Preferably, the contact wire temperature sensor is an infrared temperature sensor, and the contact wire temperature sensor is installed at a corresponding position directly below the contact wire.

[0008] Preferably, the insulator pollution sensor is a leakage current detection sensor, and the insulator pollution sensor is electrically connected to the surface of the insulator.

[0009] Preferably, the wire tension sensor is mounted on the fixed end of the wire using a strain gauge.

[0010] Preferably, the image recognition camera is equipped with an optical image stabilization structure, and the lens of the image recognition camera is covered with an anti-fouling coating.

[0011] Preferably, the data processing unit includes a data caching module and a data storage module.

[0012] The beneficial effects of this technical solution compared to existing technologies are as follows:

[0013] (1) This solution integrates multiple sensors, including those for contact wire temperature, insulator contamination, and conductor tension, to comprehensively monitor the electrical phase separation area from multiple dimensions such as temperature change, insulation performance, mechanical tension, image features, and spatial distance. Compared to traditional single-detection methods, it can capture more potential fault signals and avoid missed detections due to missing local detection. By setting up a wireless communication module, real-time wireless data transmission is achieved, eliminating the constraints of wired connections and reducing wiring costs and maintenance difficulties. At the same time, it avoids data transmission being affected by factors such as line aging and physical damage, ensuring the timeliness and stability of data acquisition and providing a reliable data foundation for subsequent processing.

[0014] (2) By setting up a data processing unit, the data processing unit can process a large amount of raw data collected by the sensor in real time locally through the built-in edge computing algorithm. Combined with the data caching module and the data storage module, it can not only temporarily store key data, but also perform historical data backtracking analysis, explore the potential correlation between data, improve the efficiency and accuracy of data processing, and provide a more powerful basis for fault diagnosis.

[0015] (3) By setting up an intelligent early warning unit, abnormal data can be accurately identified based on the analysis results of the data processing unit. Once the detection parameters exceed the preset threshold or meet the fault characteristic model, an audible and visual alarm will be automatically triggered and an early warning message will be generated. Compared with traditional manual judgment, it can realize rapid fault detection and response, buy valuable time for fault handling, and reduce the probability of accidents.

[0016] (4) By setting up a remote monitoring unit, the processed data and early warning information are transmitted to the railway operation and maintenance center server in real time, and remote query and control are supported by mobile APP. No matter where the operation and maintenance personnel are, they can obtain the equipment status of the electrical phase separation area at any time, realize remote centralized management, break geographical restrictions, improve the timeliness and scientific nature of operation and maintenance decisions, and greatly improve operation and maintenance efficiency.

[0017] (5) By setting up supercapacitor energy storage modules and solar photovoltaic panels, the supercapacitor energy storage modules and solar photovoltaic panels work together to efficiently store energy when there is sufficient sunlight, and can continue to supply power when there is insufficient sunlight or at night, ensuring that the device operates stably in the environment along the railway without external power supply, reducing dependence on external power grid, reducing power supply costs and maintenance workload.

[0018] (6) By setting the contact wire temperature sensor to use an infrared temperature sensor and installing it directly below the contact wire, the contact wire temperature can be measured accurately without contact, avoiding the impact of direct contact on the normal operation of the contact wire; the insulator contamination sensor is electrically connected to the surface of the insulator through leakage current detection, which can intuitively reflect the changes in the insulation performance of the insulator; the conductor tension sensor is installed at the fixed end of the conductor in the form of a strain gauge, which can sensitively detect the fluctuation of conductor tension; the image recognition camera is equipped with an optical image stabilization structure and an anti-fouling coating, which can still capture clear and stable images in high-speed train operation and complex environments, ensuring the effectiveness and reliability of image data. Attached Figure Description

[0019] Figure 1 The flowchart provided for this utility model;

[0020] Figure 2 A flowchart of the data processing unit provided by this utility model;

[0021] Figure 3 A flowchart illustrating the operation of the multi-sensor integrated detection unit provided by this utility model;

[0022] Figure reference numerals: 1. Solar photovoltaic panel; 2. Supercapacitor energy storage module; 3. Multi-sensor integrated detection unit; 4. Wireless communication module; 5. Data processing unit; 6. Intelligent early warning unit; 7. Remote monitoring unit; 8. Data storage module; 9. Contact wire temperature sensor; 10. Insulator pollution sensor; 11. Conductor tension sensor; 12. Image recognition camera; 13. Laser rangefinder; 14. Detailed Implementation

[0023] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments:

[0024] like Figure 1-3The electrified railway phase separation intelligent detection device shown includes a solar photovoltaic panel 1, a supercapacitor energy storage module 2, a multi-sensor integrated detection unit 3, a data processing unit 5, an intelligent early warning unit 6, and a remote monitoring unit 7. The multi-sensor integrated detection unit 3 includes a contact wire temperature sensor 10, an insulator pollution sensor 11, a conductor tension sensor 12, an image recognition camera 13, and a laser rangefinder 14. Each of these sensors is connected to a wireless communication module 4. The wireless communication module 4 is electrically connected to the data processing unit 5, which in turn is electrically connected to the intelligent early warning unit 6. The intelligent early warning unit 6 compares the data output from the data processing unit 5 with a preset threshold and, combined with fault diagnosis logic, determines the equipment's operating status. Once an anomaly is detected, an audible and visual alarm is automatically triggered, and an early warning message is generated. The remote monitoring unit 7 is electrically connected to the intelligent early warning unit 6, transmitting early warning information and processed data to the railway operation and maintenance center server in real time via a wireless communication network. It also supports remote access via a mobile app, enabling maintenance personnel to remotely monitor and manage the status of equipment in the electrical phase separation area in real time. The supercapacitor energy storage module 2 works in conjunction with the solar photovoltaic panel 1. The multi-sensor integrated detection unit 3, data processing unit 5, intelligent early warning unit 6, and remote monitoring unit 7 are all electrically connected to the solar photovoltaic panel 1. The solar photovoltaic panel 1 utilizes the photoelectric effect to convert light energy into electrical energy, providing the energy source for the entire detection device. The supercapacitor energy storage module 2 stores electrical energy when there is sufficient sunlight and provides continuous power during periods of insufficient sunlight or at night, ensuring stable operation of the device.

[0025] The contact wire temperature sensor 10 is an infrared temperature sensor installed directly below the contact wire. It senses the heat on the contact wire surface non-contactly, monitoring the contact wire temperature in real time and promptly detecting temperature anomalies caused by overload, poor contact, etc. The insulator contamination sensor 11 is a leakage current detection sensor electrically connected to the insulator surface. By monitoring changes in leakage current caused by contamination accumulation on the insulator surface, it determines the insulator's insulation performance and contamination level, effectively preventing power supply faults caused by insulator performance degradation. The conductor tension sensor 12 is installed at the fixed end of the conductor using a strain gauge. Utilizing the characteristic of resistance change when the strain gauge deforms under stress, it senses the magnitude and changes in conductor tension in real time, ensuring the conductor is under normal tension and preventing conductor slack or breakage due to abnormal tension. The image recognition camera 13 is equipped with an optical image stabilization structure, ensuring stable and clear images even under conditions of high-speed train operation or environmental vibration. The lens of the image recognition camera 13 is covered with an anti-fouling coating to prevent dust and stains from affecting the image quality. By acquiring images of the equipment in the electrical phase separation area, it provides intuitive visual information for subsequent fault identification and analysis. The laser rangefinder 14 can measure the spatial distance between various components in the electrical phase separation area, helping to determine whether the equipment installation position has shifted and whether the component spacing meets the standards, providing spatial dimension data for equipment condition assessment.

[0026] like Figure 3 As shown, the data processing unit 5 includes a data caching module 8 and a data storage module 9. The data caching module 8 temporarily stores the raw data transmitted in real time by the sensor to ensure that the data is not lost; the data storage module 9 stores the processed key data for long-term preservation, facilitating subsequent historical data retrieval and analysis. The data processing unit 5 receives data transmitted by the wireless communication module 4, performs filtering, feature extraction, and other processing on it, and combines edge computing algorithms to complete the preliminary analysis and integration of the data locally, providing effective data support for intelligent early warning.

[0027] The specific implementation process is as follows:

[0028] In use, the contact wire temperature sensor 10 continuously collects the surface temperature of the contact wire, sensing temperature changes in real time through a non-contact method to detect abnormal temperature rises caused by current overload or poor contact; the insulator contamination sensor 11, through electrical connection with the insulator surface, monitors changes in leakage current caused by contamination accumulation and evaluates the insulation performance of the insulator; the conductor tension sensor 12 senses conductor tension fluctuations through changes in resistance value, ensuring that the conductor tension is within a safe range; the image recognition camera 13 captures real-time images of the equipment in the phase separation area to identify component appearance defects or abnormal displacements; the laser rangefinder 14 measures the spatial distance between key components to help determine whether the equipment installation position is offset. Each sensor transmits the collected temperature, current, tension, image, and distance data to the data processing unit 5 in real time through an independent wireless communication module 4.

[0029] The data processing unit 5 receives multi-sensor data via the wireless communication module 4 and first stores it in the data cache module 8 to ensure data integrity. It then filters and reduces noise in the raw data to remove environmental interference and signal fluctuations, uses edge computing algorithms to extract key feature parameters, and stores the processed key data in the data storage module 9 for subsequent querying and in-depth analysis.

[0030] The intelligent early warning unit 6 compares the processed data with a preset threshold database to determine whether it exceeds the normal range. Different levels of early warning responses are triggered based on the severity of the anomaly: Level 1: generates an early warning message but does not trigger an audible or visual alarm; Level 2: triggers an on-site audible and visual alarm and pushes the early warning message to the remote monitoring system; Level 3: immediately cuts off the relevant circuits and notifies maintenance personnel through multiple channels.

[0031] The remote monitoring unit 7 transmits processed data and early warning information to the railway operation and maintenance center server in real time via the network. Simultaneously, maintenance personnel can remotely access real-time data, historical records, and early warning information via an app.

[0032] The above descriptions are merely embodiments of this utility model. Commonly known technical solutions and / or characteristics are not described in detail here. It should be noted that those skilled in the art can make various modifications and improvements without departing from the technical solution of this utility model. These modifications and improvements should also be considered within the scope of protection of this utility model, and will not affect the effectiveness of the implementation of this utility model or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. An intelligent detection device for electrical phase separation in electrified railways, characterized in that: The system includes a solar photovoltaic panel (1), a supercapacitor energy storage module (2), a multi-sensor integrated detection unit (3), a data processing unit (5), an intelligent early warning unit (6), and a remote monitoring unit (7). The multi-sensor integrated detection unit (3) includes a contact wire temperature sensor (10), an insulator pollution sensor (11), a conductor tension sensor (12), an image recognition camera (13), and a laser rangefinder (14). 13) and the laser rangefinder (14) are respectively connected to a wireless communication module (4). The wireless communication module (4) is electrically connected to the data processing unit (5). The data processing unit (5) is electrically connected to the intelligent early warning unit (6). The remote monitoring unit (7) is electrically connected to the intelligent early warning unit (6). The supercapacitor energy storage module (2) cooperates with the solar photovoltaic panel (1). The multi-sensor integrated detection unit (3), data processing unit (5), intelligent early warning unit (6) and remote monitoring unit (7) are respectively electrically connected to the solar photovoltaic panel (1).

2. The intelligent detection device for electrical phase separation in electrified railways as described in claim 1, characterized in that: The contact wire temperature sensor (10) is an infrared temperature sensor, and the contact wire temperature sensor (10) is installed at the corresponding position directly below the contact wire.

3. The intelligent detection device for electrical phase separation in electrified railways as described in claim 1, characterized in that: The insulator pollution sensor (11) is a leakage current detection sensor, and the insulator pollution sensor (11) is electrically connected to the surface of the insulator.

4. The intelligent detection device for phase separation of electrified railways as described in claim 1, characterized in that: The wire tension sensor (12) is installed on the fixed end of the wire by means of a strain gauge.

5. The intelligent detection device for phase separation of electrified railways as described in claim 1, characterized in that: The image recognition camera (13) is equipped with an optical image stabilization structure, and the lens of the image recognition camera (13) is covered with an anti-fouling coating.

6. The intelligent detection device for electrical phase separation in electrified railways as described in claim 1, characterized in that: The data processing unit (5) includes a data caching module (8) and a data storage module (9).

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