Data Acquisition Subsystem of Dynamic Monitoring System for Railway Freight Train Brakes

Abstract

This utility model discloses a data acquisition subsystem for a dynamic monitoring system of a railway freight train brake, including a sensor module, a display module, a serial memory, a wireless communication module, a power control module, a GPS module, a circuit board, and a microcontroller connected to the circuit board. The power control module is electrically connected to the circuit board. The sensor module includes a laser rangefinder and a temperature and humidity sensor. The wireless communication module includes a LoRa module, a WiFi module, and a Bluetooth module. The microcontroller is connected to the sensor module, the display module, the serial memory, the wireless communication module, and the GPS module. The laser rangefinder is placed inside a wind plug, and the brake travel is measured by replacing the original wind plug. The installation is simple and has little impact on the existing system. This utility model automatically completes data acquisition and uploading, can operate stably for a long time without human intervention, reduces the labor intensity of on-site inspection personnel, and reduces maintenance costs.

Description

Technical Field

[0001] This utility model relates to the field of train braking technology, specifically to the data acquisition subsystem of a dynamic monitoring system for railway freight train brakes. Background Technology

[0002] Freight trains consist of wagons used for transporting goods, and are distinct from passenger trains. Their core function is to facilitate long-distance or regional transportation of goods such as bulk commodities, industrial raw materials, and daily necessities.

[0003] The brake piston (i.e., the brake cylinder piston) is the core component of the braking device. During braking, it is driven by compressed air and presses the brake shoes (or brake pads) against the wheel or brake disc through a lever system to generate braking force. The piston stroke is a direct parameter of the mechanical action of the braking system, and the reasonable adjustment of the piston stroke will directly affect the working efficiency of the train braking device.

[0004] Existing technologies monitor brake lever stroke information via measuring ropes, which suffer from problems such as discontinuous data acquisition, poor stability due to external influences, large data fluctuations, and low efficiency. In addition, the wireless data transmission method is singular, lacks equipment redundancy, and has relatively low equipment reliability. Utility Model Content

[0005] The purpose of this invention is to provide a data acquisition subsystem for a dynamic monitoring system of railway freight train brakes, in order to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, this utility model provides the following technical solution:

[0007] The data acquisition subsystem of the dynamic monitoring system for railway freight train brakes includes a sensor module, a display module, a serial memory, a wireless communication module, a power control module, a GPS module, a circuit board, and a microcontroller connected to the circuit board. The power control module is electrically connected to the circuit board. The sensor module includes a laser rangefinder sensor. The wireless communication module includes a LoRa module, a WiFi module, and a Bluetooth module. The microcontroller is connected to the sensor module, the display module, the serial memory, the wireless communication module, and the GPS module.

[0008] As a further embodiment of this utility model: the power control module uses a rechargeable lithium battery and supplies power to the circuit board through a USB Type-C interface.

[0009] As a further improvement of this utility model, the display module is an SSD1306 liquid crystal module.

[0010] As a further improvement of this invention, the serial memory is a W25Q128 memory.

[0011] As a further improvement of this invention: the microcontroller has a built-in real-time clock (RTC), which is used to store the time corresponding to the laser rangefinder sensor values.

[0012] As a further improvement of this utility model, the circuit board includes an I2C memory AT24C16 for storing system states and an air temperature and humidity sensor AHT20.

[0013] As a further improvement of this utility model, the microcontroller is model Ai8051U.

[0014] As a further improvement of this utility model, the laser rangefinder sensor is model GY-53.

[0015] As a further improvement of this utility model, the Lora module is model number WH-L101-L-H20.

[0016] As a further improvement of this utility model, the GPS module is model LC86G.

[0017] Compared with the prior art, the beneficial effects of this utility model are:

[0018] 1. This utility model obtains the operating status of the brake cylinder by measuring and monitoring the distance between the brake levers, and obtains the operating status of the train brake through data processing;

[0019] 2. This utility model uses a laser rangefinder sensor, which can provide stable, continuous and accurate measurement. The laser rangefinder sensor is placed inside the wind plug. By replacing the original wind plug, the travel of the strut can be measured. The installation is simple and has little impact on the existing system.

[0020] 3. This utility model uses three transmission methods—LoRa, WiFi, and Bluetooth—to provide redundancy and meet the requirements for long-distance, real-time data transmission.

[0021] 4. This utility model automatically completes data collection and uploading, can operate stably for a long time without human intervention, reduces the labor intensity of on-site inspection personnel, and reduces maintenance costs. Attached Figure Description

[0022] Figure 1 This is a module diagram of the data acquisition subsystem of the dynamic monitoring system for railway freight train brakes.

[0023] Figure 2 This is a diagram of the microcontroller and peripheral circuits in the data acquisition subsystem of the dynamic monitoring system for railway freight train brakes.

[0024] Figure 3This is a circuit diagram of the Lora module in the data acquisition subsystem of the dynamic monitoring system for railway freight train brakes.

[0025] Figure 4 This is a circuit diagram of the WiFi module in the data acquisition subsystem of the dynamic monitoring system for railway freight train brakes.

[0026] Figure 5 This is a circuit diagram of the GPS module in the data acquisition subsystem of the dynamic monitoring system for railway freight train brakes.

[0027] Figure 6 This is a circuit connection diagram for the AT24C16, AHT20, and OLED display screen in the data acquisition subsystem of the dynamic monitoring system for railway freight train brakes.

[0028] Figure 7 This is a diagram of the serial memory W25Q128 and its peripheral circuits in the data acquisition subsystem of the dynamic monitoring system for railway freight train brakes.

[0029] Figure 8 This is a circuit diagram of the laser ranging sensor interface in the data acquisition subsystem of the dynamic monitoring system for railway freight train brakes.

[0030] Figure 9 This is a power control circuit diagram for the data acquisition subsystem of the dynamic monitoring system for railway freight train brakes. Detailed Implementation

[0031] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0032] Please see Figures 1-9In this embodiment of the utility model, the data acquisition subsystem of the dynamic monitoring system for the brakes of railway freight trains includes a sensor module, a display module, a serial memory, a wireless communication module, a power control module, a GPS module, peripheral interface circuits, a circuit board, and a microcontroller connected to the circuit board. The power control module is electrically connected to the circuit board and uses a rechargeable lithium battery to power the circuit board through a USB Type-C interface. The sensor module includes a laser rangefinder sensor. The display module is an SSD1306 LCD module. The serial memory is a W25Q128 memory. The wireless communication module includes a LoRa module, a WiFi module, and a Bluetooth module. The microcontroller is connected to the sensor module, the display module, the serial memory, the wireless communication module, the data interface (I2C or serial port), and the GPS module, respectively.

[0033] The circuit board includes an I2C memory AT24C16 for storing system states and an air temperature and humidity sensor AHT20.

[0034] The microcontroller has a built-in real-time clock (RTC) to store the time corresponding to the laser ranging sensor values. The LoRa module is designed for long-term operation. The WiFi and Bluetooth modules are activated intermittently depending on the operating status. The GPS module is used to collect train vehicle location and time information and synchronize it with the RTC. The circuit board can control the power supply of the LoRa, WiFi, Bluetooth, GPS, and sensor modules. The circuit board can reduce power consumption by turning off the power control module or entering a low-power mode. The LoRa, WiFi, and Bluetooth modules are used to upload data to the server and send data from the server. The microcontroller collects the power supply voltage information, calculates the remaining power, and converts it into power information as local data to be uploaded to the server. The server generates alarm information based on the power data. The laser ranging sensor is fitted with a windproof shield.

[0035] The microcontroller model is Ai8051U;

[0036] The laser rangefinder sensor is model GY-53;

[0037] The Lora module is model number WH-L101-L-H20;

[0038] The WiFi and Bluetooth modules are model Ai-WB2-32S;

[0039] The GPS module is model LC86G;

[0040] The power control module is model RT9013.

[0041] The working principle of this utility model is as follows:

[0042] Distance information is obtained through different laser ranging sensor interfaces (I2C or serial port), and the input data is processed using a filtering algorithm. The processed results are saved to a serial memory. One data acquisition subsystem of this application is installed on each railway freight train. Multiple data acquisition subsystems can communicate simultaneously with the gateway in a station subsystem to upload collected information and synchronize with the server time. When the network connection is lost, the data is saved locally. After the network is restored, the data is automatically resumed and uploaded. Information from laser ranging sensors, GPS modules, and temperature and humidity sensors is collected and sent to the server through the station subsystem. The operating status of the brake cylinder is obtained by measuring and monitoring the distance of the brake lever. After data processing, the operating status of the train brake is obtained. By using a laser ranging sensor, stable, continuous, and accurate measurements can be achieved. The laser ranging sensor is placed inside the air plug. The original air plug is replaced to measure the lever travel. The installation is simple and has little impact on the existing system. Transmission is carried out using LoRa, WiFi, and Bluetooth, with redundancy in transmission methods, meeting the requirements of long-distance and real-time data transmission.

[0043] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A data acquisition subsystem for a dynamic monitoring system of railway freight train brakes, comprising a sensor module, a display module, a serial memory, a wireless communication module, a power control module, a GPS module, a circuit board, and a microcontroller connected to the circuit board, characterized in that: The power control module is electrically connected to the circuit board. The sensor module includes a laser rangefinder. The wireless communication module includes a LoRa module, a WiFi module, and a Bluetooth module. The microcontroller is connected to the sensor module, the display module, the serial memory, the wireless communication module, and the GPS module, respectively.

2. The data acquisition subsystem of the dynamic monitoring system for railway freight train brakes according to claim 1, characterized in that: The power control module uses a rechargeable lithium battery and supplies power to the circuit board via a USB Type-C interface.

3. The data acquisition subsystem of the dynamic monitoring system for railway freight train brakes according to claim 1, characterized in that: The display module is an SSD1306 LCD module.

4. The data acquisition subsystem of the dynamic monitoring system for railway freight train brakes according to claim 1, characterized in that: The serial memory is a W25Q128 memory.

5. The data acquisition subsystem of the dynamic monitoring system for railway freight train brakes according to claim 1, characterized in that: The microcontroller has a built-in real-time clock.

6. The data acquisition subsystem of the dynamic monitoring system for railway freight train brakes according to claim 1, characterized in that: The circuit board includes an I2C memory AT24C16 for storing system states and an air temperature and humidity sensor AHT20.

7. The data acquisition subsystem of the dynamic monitoring system for railway freight train brakes according to claim 1, characterized in that: The microcontroller model is Ai8051U.

8. The data acquisition subsystem of the dynamic monitoring system for railway freight train brakes according to claim 1, characterized in that: The laser rangefinder sensor is model GY-53.

9. The data acquisition subsystem of the dynamic monitoring system for railway freight train brakes according to claim 1, characterized in that: The Lora module is model number WH-L101-L-H20.

10. The data acquisition subsystem of the dynamic monitoring system for railway freight train brakes according to claim 1, characterized in that: The GPS module is model LC86G.

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