On-line monitoring method and system for brake state of railway freight train

Abstract

The invention relates to a railway freight train brake state on-line monitoring method and system, and the method comprises the steps: obtaining the brake state of each train in a running or static train, and obtaining the brake state data of the corresponding train; according to the train brake state data, the brake states of all the vehicles at the same moment are longitudinally compared, the vehicles with the brake states different from those of most of other vehicles in the same train are judged and determined as the vehicles with the abnormal brake performance, and the vehicle numbers and sequence information of the abnormal vehicles are obtained in the train running process; the vehicle with the abnormal brake state can be simply, conveniently, rapidly and accurately obtained, early warning is timely carried out, workers are reminded of handling, fault hidden dangers are eliminated, and the safety and reliability of train operation are improved.

Description

Technical Field

[0001] The invention relates to an online monitoring method and system for the brake state of a railway freight train, belonging to the technical field of train braking. Background Art

[0002] In recent years, the railway freight car system has actively explored and integrated new-generation information technology elements such as digital technology and artificial intelligence into the traditional industry of freight car operation and maintenance, strengthened safety and quality control, improved resource allocation efficiency, optimized production organization models, and expanded the effective supply of freight cars. In practice, it has initially formed high-tech, high-efficiency, and high-quality characteristics, demonstrating strong driving force and support for the high-quality development of railway freight cars.

[0003] In terms of train brake testing, although microcomputer-controlled train brake testing equipment and train vehicle brake test monitoring equipment are used, there are still shortcomings in the intelligent monitoring of brake performance on trucks, and on-site inspectors are required to check the braking and release status of train brakes by "manual running, vehicle-by-vehicle inspection, and visual confirmation". A freight train requires multiple inspectors to work together, which is not only time-consuming, labor-intensive, and inefficient, but also unable to meet the requirements of the "Transportation Regulations" that "natural release shall not occur within 3 minutes" and "the entire train must be fully released within 1 minute" to fully confirm the brake status. Even the most intuitive brake test standards of "the entire train must have a braking effect" and "the entire train must be fully released" are limited by the work quality of the inspectors and the obstruction of the structural components of the freight train, and cannot ensure accurate inspection.

[0004] The Chinese invention patent application with the authorization announcement number CN102012321B discloses a railway train vehicle air brake performance monitoring system and method, wherein the pressure value is collected according to the pressure change in the brake cylinder, pressure data information is generated and stored, and when an activation command is received, the vehicle information and pressure data information are sent. Specifically, the air pressure value in the brake cylinder is automatically collected by the pressure sensor, and recorded and stored in real time. By monitoring the pressure change value of the brake cylinder, the working state of the entire vehicle brake device can be intuitively determined, that is, the pressure data is collected by the pressure sensor, and then the brake monitoring is performed according to the pressure data. Obviously, the pressure sensor data collection cannot intuitively reflect the current braking stroke or braking state, resulting in a cumbersome monitoring process, requiring constant data conversion, and there is a risk of false alarm or omission of brake failure.

[0005] The published text of the Chinese utility model patent application with the authorization announcement number CN203623659U discloses a device for monitoring the braking performance of train vehicles, wherein a data transmission link is composed of multiple data transmission modules arranged on the vehicle along the track at the train inspection site, and a wireless gateway is arranged at the train inspection site and receives data sent by the multiple data transmission modules respectively. It can be seen that the vehicle braking performance monitoring is dependent on the fixed data transmission module based on the train inspection site, making it impossible to perform online monitoring of the braking status data during the operation of the vehicle. Summary of the invention

[0006] The purpose of the present invention is to provide a method and system for online monitoring of the brake status of a railway freight train, so as to solve the problem that the brake status of the train cannot be monitored online and the brake monitoring result is inaccurate.

[0007] To achieve the above object, on the one hand, the present invention provides a method for online monitoring of the brake status of a railway freight train. Obtain the brake status of all vehicles in the train in running or stationary state, and obtain the corresponding vehicle braking status data; Based on the brake status data, the status data is calculated and analyzed to determine whether there is a vehicle in the same train whose brake status is different from that of the vast majority of other vehicles at the same time. If so, the fault model judgment algorithm is called to determine the fault type of the brake of the abnormal vehicle and obtain the vehicle information of the abnormal vehicle.

[0008] Furthermore, when there is a vehicle with an abnormal brake state, and the time and duration of the brake state change of the abnormal vehicle are significantly different from those of the vast majority of other vehicles, an alarm is triggered when the time or duration reaches a preset alarm threshold.

[0009] Furthermore, the location information of the corresponding vehicle is obtained by a positioning module arranged on the vehicle, and uploaded to the server at a set period, so that the server generates the location information data of all vehicles; When the server detects that the train is located at the train inspection operation field based on the position information data, the server adjusts the period for uploading the brake status by the detection host installed on the vehicle.

[0010] Further, the braking state data of the vehicle includes a relief state and a braking state, and the brake state data is obtained by: A brake cylinder piston state detection module is arranged on the brake cylinder piston rod of the vehicle; in response to an in-position detection signal obtained by triggering a micro switch on the brake cylinder piston state detection module by a brake cylinder front cover, it is determined that the corresponding vehicle brake is in a released state; when the in-position detection signal is not received, it is determined that the corresponding vehicle brake is in a braking state.

[0011] On the other hand, the present invention also proposes an online monitoring system for the brake status of a railway freight train, comprising a detection host including a detection module for monitoring the brake status of a vehicle, and the detection host uploads the acquired brake status to a server via a wireless communication module; the server is used to form brake status data, and to determine whether the vehicle has abnormal braking and to warn of abnormal vehicles.

[0012] Furthermore, the detection host includes a processor, a power supply module, a wireless communication module for connecting to a brake cylinder piston state detection module, and a wireless communication module for communicating with the Internet of Things, and the Internet of Things communication is used to upload the braking state obtained by the brake cylinder piston state detection module to a server.

[0013] Furthermore, the communication module is any one of LoRa, Bluetooth, and Zigbee.

[0014] Furthermore, the power module includes a rechargeable lithium battery, a battery management system and a wind / kinetic energy generator, and the wind generator is provided with a fairing capable of obtaining stable airflow from both the front and rear movement directions of the vehicle.

[0015] Furthermore, the detection host also includes a positioning module, and the positioning module is used to obtain the location information of the vehicle and upload it to the server.

[0016] Furthermore, the positioning module of the detection host is a Beidou navigation positioning module.

[0017] The beneficial effects of the present invention are as follows: by acquiring the brake status of a train vehicle during operation or in a stationary state, the brake status data of the corresponding vehicle is obtained; based on the brake status data, the status data is calculated and analyzed to determine whether there is a vehicle in the same train whose brake status is different from that of most other vehicles at the same time; if so, the fault model judgment algorithm is called to determine the fault type of the brake of the abnormal vehicle, and the vehicle information of the abnormal vehicle is obtained, so as to realize the acquisition of brake status data during the operation of the train, and compare the longitudinal brake status of each vehicle at the same time, so as to achieve fast and accurate acquisition of the train braking status, and the data acquisition is more in line with the actual application scenario of the train, and the judgment of abnormal vehicles is simpler and more convenient, thereby improving applicability. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flow chart of a method for online monitoring of the brake status of a railway freight train according to one aspect of the present invention; Figure 2 It is a data communication schematic diagram of a method for online monitoring of the brake status of a railway freight train in a train inspection operation scenario according to one aspect of the present invention; Figure 3It is a structural schematic diagram of an online monitoring system of a railway freight train brake state online monitoring system in an actual application scenario according to another aspect of the present invention; Figure 4 It is a structural schematic diagram of a detection host of an online monitoring system for the brake status of a railway freight train in an actual application scenario according to another aspect of the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0020] The inventive concept of the present invention is: in order to better fit the running status of the train, during the running of the train, the braking status data of the corresponding train is obtained, and the brake status between vehicles is compared under the conditions of the same time and the same train, so as to realize efficient train braking monitoring and avoid the tedious operation of manual monitoring. The braking status data is obtained simply and directly without the need for data conversion, thereby improving the accuracy of the data source, thereby improving the accuracy of the monitoring results, and being more conducive to improving the maintenance quality of the train.

[0021] Method Example 1: like Figure 1 As shown, it is a schematic flow chart of a method for online monitoring of the brake status of a railway freight train according to one aspect of the present invention, wherein the method comprises steps S11 to S12, specifically: Step S11, obtain the brake status of all vehicles in the train in running state or stationary state, and obtain the corresponding vehicle braking status data; here, the braking status can be obtained through braking control, and can also be obtained through monitoring sensors, wherein the monitoring sensors include but are not limited to brake cylinder piston status monitoring modules, specifically, a brake cylinder piston status detection module is set on the brake cylinder piston rod of the vehicle; in response to the in-place detection signal obtained by the microswitch on the brake cylinder piston status detection module triggered by the brake cylinder front cover, it is determined that the corresponding vehicle brake is in a released state; when the in-place detection signal is not received, it is determined that the corresponding vehicle brake is in a braking state; in actual application scenarios, the braking status includes release and braking, so as to realize online acquisition of the vehicle braking status of the running train, and the data source is accurate, thereby improving the reliability of subsequent online monitoring results.

[0022] Step S12, based on the braking status data, calculate and analyze the status data to determine whether there is a vehicle in the same train with a brake status different from that of most other vehicles at the same time; if so, call the fault model judgment algorithm to determine the fault type of the brake of the abnormal vehicle and obtain the vehicle information of the abnormal vehicle; it should be noted that the analysis and processing of the braking status data can be processed and analyzed on the local server of the train, and the braking status data can also be uploaded to the cloud server so that relevant personnel can monitor the train status in the cloud; whether there is a vehicle in the same train with a brake status different from that of most other vehicles at the same time means: at the same time and in the same train, according to the brake status of all vehicles in the train, screen out vehicles with a brake status different from that of most other vehicles and set them as abnormal vehicles, wherein the same time includes but is not limited to any other time during the operation of the train, such as braking time and relief time.

[0023] Through the above steps S11 and S12, the braking status data can be obtained during the operation of the train, and the longitudinal braking status of each vehicle can be compared at the same time, so as to quickly and accurately obtain the braking status of the train. The data acquisition is more suitable for the application, and the screening operation of abnormal vehicles is simpler and more convenient, thereby improving applicability.

[0024] In a preferred embodiment of the present invention, it is preferred that only train A and train B are running at present, and a monitoring sensor for monitoring the brake status of the vehicle is installed on each vehicle of train A and train B; the brake status of each vehicle of train A and train B during operation is obtained to obtain the braking status data of train A: [braking status of vehicle 1, braking status of vehicle 2, ..., braking status of vehicle 49, braking status of vehicle 50], and the braking status data of train B: [braking status of vehicle 1, braking status of vehicle 2, ..., braking status of vehicle 59, braking status of vehicle 60]; according to [braking status of vehicle 1, braking status of vehicle 2, ..., braking status of vehicle 59, braking status of vehicle 60], the braking status data of train B is obtained. The braking status of each vehicle in train A and train B is preferably analyzed at the braking moment, and it is obtained that the braking status of vehicles 1-5 in train A is in a relieved state, while the status of other vehicles is in a braking state. At this time, vehicles m and vehicle n in train A are determined to be abnormal vehicles; vehicles 1-60 in train B are all in a braking state. At this time, there is no abnormal vehicle in train B.

[0025] Method Example 2: By continuously tracking, counting and analyzing the brake status data of the entire train in step S11, when there is a vehicle with an abnormal brake status, and the time and duration of the brake status change of the abnormal vehicle are greatly different from those of the vast majority of other vehicles, an alarm is triggered when the time or duration reaches a preset alarm threshold; here, the preset alarm threshold is a time threshold for triggering an alarm set according to different train performances, or different braking requirements, or different application requirements; in actual application scenarios, after the alarm is triggered, the train's front station or train inspection site or cloud server will be notified to prompt relevant personnel to promptly check and confirm the abnormal vehicle to eliminate the hidden dangers of brake failure.

[0026] For example, after determining that vehicles m and n in train C are abnormal vehicles, the duration of vehicles m and n are counted respectively, and the duration of vehicle m is t1 and the duration of vehicle n is t2; preferably, the duration t1 of vehicle m reaches the preset alarm threshold T, and the duration t2 of vehicle n does not reach the preset alarm threshold T, an alarm message is sent to the front station of train C, prompting relevant personnel at the front station to further confirm vehicle m.

[0027] Method embodiment 3: Following the above embodiment of the present invention, in order to locate the train and each vehicle in the train in real time, a positioning module for obtaining the position information of each vehicle in the train is also provided on the train, so as to track the train position and the position of abnormal vehicles, realize the confirmation of the running position of the train, thereby determining the running environment, and executing different monitoring methods under different running environments, and increasing the upload frequency to adapt to the train brake test in the train inspection operation field. Specifically: The present invention provides a method for online monitoring of the brake status of a railway freight train, comprising: The location information of the corresponding vehicle is obtained through the positioning module installed on the vehicle and uploaded to the server at a set period, so that the server generates location information data of all vehicles; when the server monitors that the train is located in the train inspection operation yard based on the location information data, the detection host installed on the vehicle is adjusted to upload the brake status period.

[0028] For example, using the BDS positioning installed on the train, when the BDS positioning monitors that the train is in operation, the online monitoring system on each vehicle obtains and gets the braking status of the corresponding vehicle and uploads it to the cloud IoT service platform every 60 seconds, so that the braking status data can be analyzed and processed on the cloud IoT service platform to form braking status data and judge vehicles with abnormal braking; when the BDS positioning monitors that the train reaches the train inspection station, the online monitoring system on each vehicle obtains and gets the braking status data of the corresponding vehicle and uploads it to the cloud IoT service platform every 5 seconds. Specifically, in actual application, Figure 2Each train inspection operation site obtains the brake status data of the train undergoing brake test from the National Railway Group data server through the train inspection operation site management service terminal to realize the function of automatically judging the brake test results.

[0029] System Example 1: On the other hand, the present invention also proposes an online monitoring system for the brake status of a railway freight train, comprising a detection host including a detection module for monitoring the brake status of a vehicle, and the detection host uploads the acquired brake status to a server through a wireless communication module; the server is used to form braking status data, and to determine whether the vehicle has abnormal braking and to warn of abnormal vehicles; here, the detection host includes a processor, a power supply module, a wireless communication module for connecting to a brake cylinder piston status detection module, and a wireless communication module for communicating with the Internet of Things, and the Internet of Things communication is used to upload the braking status acquired by the brake cylinder piston status detection module to a server; it should be noted that the brake cylinder piston status detection module is arranged on the brake cylinder piston rod of the vehicle, and it responds to the in-place detection signal obtained by the microswitch on the brake cylinder piston status detection module triggered by the brake cylinder front cover, and determines that the corresponding vehicle brake is in a relieved state; when the in-place detection signal is not received, it is determined that the corresponding vehicle brake is in a braking state, so as to realize online acquisition and monitoring of the braking status of each vehicle in each train, and provide high-precision data support for subsequent server data analysis.

[0030] The server can be a local server of the train or a cloud server; at the same time, when the server determines that there is the abnormal vehicle, it also counts the duration that the braking state of the abnormal vehicle is different from the braking state of other vehicles, and triggers an alarm when the duration reaches a preset alarm threshold.

[0031] In addition, the detection host also includes a positioning module, which is used to obtain the location information of the vehicle and upload it to the server; here, the positioning module of the detection host is a Beidou navigation positioning module.

[0032] For example Figure 3 , which is a structural schematic diagram of an online monitoring system for train braking in an actual application scenario according to another aspect of the present invention, wherein the online monitoring system includes a detection host, a monitoring sensor connected to the detection host via a Bluetooth communication module (i.e., a brake cylinder piston state detection module), a power supply module for providing power to the detection host (wherein the power supply module includes a rechargeable lithium battery, a BMS and a micro wind turbine), China Beidou (positioning module) and the Internet of Things, so that the online monitoring system performs the steps of the above-mentioned method for online monitoring the state of a railway freight train brake.

[0033] System Example 2: Following the above embodiment of the present invention, the power module includes a rechargeable lithium battery, a battery management system and a wind / kinetic energy generator. The wind generator is provided with a fairing capable of collecting airflow from the front and rear movement directions of the vehicle. Here, since the vehicle travels in different directions at different time periods, a fairing is added to the front end of the generator to ensure that the vehicle can obtain airflow that blows the wind wheel blades to rotate stably no matter which direction it travels, thereby improving the stability of the vehicle's operation.

[0034] At the same time, in the invention, the communication module is any one of LoRa, Bluetooth, and Zigbee.

[0035] like Figure 4 As shown, it is a structural schematic diagram of a detection host of an online monitoring system for train braking in an actual application scenario according to another aspect of the present invention, wherein the detection host is composed of a CPU, a power module, an Internet of Things communication module, a Bluetooth communication module and a BDS positioning module, wherein the power module provides operating power for the detection host; the Internet of Things communication module is used for the detection host to establish a wireless communication connection with the Internet of Things communication; the Bluetooth communication module is used for connecting to a monitoring sensor; and the BDS positioning module is used for locating the train and its vehicles.

[0036] In summary, the present invention makes timely and accurate judgments on the performance of the brake machine, feeds back the results to the online monitoring system, and notifies the train inspection personnel to handle the faulty vehicle. The inspector does not need to confirm the brake machine status, and only needs to check, confirm and handle the faulty brake machine, which greatly reduces the labor intensity and improves the inspection quality. At the same time, it also warns of automatic brake failures, accurately detects and records the braking and release time of the automatic brake machine of each vehicle in the test train, evaluates the performance of the train brake machine, and accurately warns vehicles that do not meet the brake machine test standards, improves the test quality of the train brake machine, and shortens the technical inspection time. The use of equipment for online detection has realized the replacement of human inspection with machine inspection, and improved the accuracy of detection; timely warning ensures driving safety and prevents major accidents; online monitoring can detect problems in a timely manner, allowing inspectors to only repair but not inspect, reducing their labor intensity and providing conditions for reducing staff and increasing efficiency.

Claims

1. A method for online monitoring of the brake status of a railway freight train, characterized in that: Obtain the brake status of all vehicles in the train in running or stationary state, and obtain the corresponding vehicle braking status data; Based on the brake status data, the status data is calculated and analyzed to determine whether there is a vehicle in the same train whose brake status is different from that of the vast majority of other vehicles at the same time. If so, the fault model judgment algorithm is called to determine the fault type of the brake of the abnormal vehicle and obtain the vehicle information of the abnormal vehicle.

2. The method for online monitoring of the brake status of a railway freight train according to claim 1, characterized in that: When there is a vehicle with abnormal brake status, and the time and duration of the brake status change of the abnormal vehicle are significantly different from those of the vast majority of other vehicles, an alarm is triggered when the time or duration reaches a preset alarm threshold.

3. The method for online monitoring of the brake status of a railway freight train according to claim 1, characterized in that: The location information of the corresponding vehicle is obtained by a positioning module installed on the vehicle, and uploaded to the server at a set period, so that the server generates the location information data of all vehicles; When the server detects that the train is located at the train inspection operation field based on the position information data, the server adjusts the period for uploading the brake status by the detection host installed on the vehicle.

4. The method for online monitoring of the brake status of a railway freight train according to claim 1, characterized in that: The braking state data of the vehicle includes a release state and a braking state, and the brake state data is obtained in the following manner: A brake cylinder piston state detection module is arranged on the brake cylinder piston rod of the vehicle; in response to an in-position detection signal obtained by triggering a micro switch on the brake cylinder piston state detection module by a brake cylinder front cover, it is determined that the corresponding vehicle brake is in a released state; when the in-position detection signal is not received, it is determined that the corresponding vehicle brake is in a braking state.

5. An online monitoring system for the brake status of a railway freight train, characterized in that: The invention comprises a detection host including a detection module for monitoring the brake status of a vehicle, and the detection host uploads the acquired brake status to a server via a wireless communication module; the server is used to form brake status data, and to judge whether the vehicle has brake abnormalities and to warn abnormal vehicles.

6. The railway freight train brake status online monitoring system according to claim 5 is characterized in that: The detection host includes a processor, a power module, a wireless communication module for connecting to a brake cylinder piston state detection module, and a wireless communication module for communicating with the Internet of Things. The Internet of Things communication is used to upload the braking state obtained by the brake cylinder piston state detection module to a server.

7. The railway freight train brake status online monitoring system according to claim 5 or 6, characterized in that: The communication module is any one of LoRa, Bluetooth, and Zigbee.

8. The railway freight train brake status online monitoring system according to claim 6 is characterized in that: The power module includes a rechargeable lithium battery, a battery management system and a wind / kinetic energy generator. The wind generator is provided with a fairing capable of obtaining stable airflow from both the front and rear movement directions of the vehicle.

9. The railway freight train brake status online monitoring system according to claim 5 is characterized in that: The detection host also includes a positioning module, which is used to obtain the location information of the vehicle and upload it to the server.

10. The railway freight train brake state online monitoring system according to claim 9, characterized in that: The positioning module of the detection host is a Beidou navigation positioning module.

Images