CN112581056A - Railway wagon running state monitoring system - Google Patents
Railway wagon running state monitoring system Download PDFInfo
- Publication number
- CN112581056A CN112581056A CN202011476581.8A CN202011476581A CN112581056A CN 112581056 A CN112581056 A CN 112581056A CN 202011476581 A CN202011476581 A CN 202011476581A CN 112581056 A CN112581056 A CN 112581056A
- Authority
- CN
- China
- Prior art keywords
- analysis data
- vehicle
- data
- state
- gateway
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Quality & Reliability (AREA)
- Entrepreneurship & Innovation (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The application relates to a railway freight car running state monitoring system includes: the state detection module is arranged at each monitoring point of the vehicle and used for acquiring state data of the vehicle and carrying out edge calculation on the state data to obtain first analysis data; the vehicle-mounted gateway is used for acquiring first analysis data when the vehicle is in the running interval, performing fog calculation on the first analysis data to obtain second analysis data, and uploading the second analysis data to the server; the local gateway is used for acquiring first analysis data when the vehicle is in a non-operation interval, performing fog calculation on the first analysis data to obtain third analysis data, and uploading the third analysis data to the server; the server is used for sending the second analysis data or the third analysis data to the monitoring center; and the monitoring center is used for giving an alarm when the vehicle state is abnormal or fails. The invention can realize the real-time monitoring of the railway wagon, reduce the data transmission load pressure, reduce the time delay and improve the timeliness and the accuracy of the monitoring.
Description
Technical Field
The application relates to the technical field of railway logistics, in particular to a railway wagon running state monitoring system.
Background
Railway Logistics (Railway Logistics) is a process of planning, implementing and controlling the flow of articles from a supply place to a receiving place entity by integrating points and lines of a Railway, exerting network economic characteristics of two layers of infrastructure and production operation, connecting a supply main body and a demand main body, organically combining functions of transportation, storage, loading and unloading, carrying, packaging, circulation processing, distribution, information processing and the like according to Railway resource allocation and optimization conditions. Due to the long distance between railway logistics stations, the performance detection of freight vehicles is very important.
The existing railway wagon does not have power generation or power receiving conditions, so the informatization and intelligent technology development is relatively slow, the vehicle performance and safety detection are mainly carried out by a ground 5T system, and the 5T system refers to: TADS: an early fault rail side acoustic diagnosis system for a truck rolling bearing; TFDS: a dynamic image detection system for truck operation faults; THDS: an infrared shaft temperature detection system; TPDS: a ground safety monitoring system for the running state of the truck; TCDS: passenger train operation safety monitoring system. The 5T system has the problems of scattered monitoring positions, discontinuous data and the like, and is difficult to meet the requirements of further development of heavy load, rapidness and multi-type combined transportation of the current railway freight car.
Disclosure of Invention
Therefore, it is necessary to provide a railway wagon operation state monitoring system capable of providing more timely and accurate operation state monitoring in view of the above technical problems.
A railway freight car operating condition monitoring system comprising:
the state detection module is arranged at each monitoring point of the vehicle and used for acquiring state data of the vehicle and carrying out edge calculation on the state data to obtain first analysis data;
the vehicle-mounted gateway is arranged on a vehicle and used for acquiring the first analysis data uploaded by the state detection module when the vehicle is in an operation interval, performing fog calculation on the first analysis data to obtain second analysis data, and uploading the second analysis data to a server;
the local gateway is arranged in a non-operation interval and used for acquiring the first analysis data uploaded by the state detection module when the vehicle is in the non-operation interval, performing fog calculation on the first analysis data to obtain third analysis data, and uploading the third analysis data to the server; the server is used for sending the second analysis data or the third analysis data to a monitoring center;
and the monitoring center is used for sending out an alarm when judging that the vehicle state is abnormal or has a fault according to the second analysis data or the third analysis data.
According to the railway wagon running state monitoring system, the wagon is provided with the state detection module which is used for directly collecting the state data of the wagon, performing edge calculation to obtain first analysis data, and uploading the first analysis data to the vehicle-mounted gateway when the wagon is in a running region; when the vehicle is in a non-operation interval, the first analysis data is uploaded to the on-site gateway, the vehicle-mounted gateway or the on-site gateway conducts fog calculation on the first analysis data to obtain second analysis data or third analysis data, the second analysis data or the third analysis data are uploaded to the server, the server sends the second analysis data or the third analysis data to the monitoring center, the monitoring center judges whether the vehicle state is abnormal or faulted according to the second analysis data or the third analysis data, real-time monitoring of the railway wagon is achieved, pre-processing is conducted on the data through edge calculation and fog calculation, data transmission load pressure is reduced, time delay is reduced, and timeliness and accuracy of monitoring are improved.
In one embodiment, the system for monitoring the running state of the railway wagon further comprises:
and the mobile terminal is used for acquiring and displaying the second analysis data sent by the vehicle-mounted gateway or the third analysis data sent by the local gateway.
The staff can in time look over the running state of vehicle through mobile terminal, improves and patrols and examines efficiency.
In one embodiment, the state detection module includes one or more MEMS sensors distributed at each monitoring point of the vehicle, and configured to collect state data of the vehicle and perform edge calculation to obtain the first analysis data.
The MEMS sensor is convenient for nondestructive installation to the vehicle, guarantees the reliability of monitoring data, can carry out edge calculation simultaneously, reduces the data volume of sending to on-vehicle gateway and gateway on the spot, and then realizes the lightweight of data transmission load, reduces data transmission load pressure, realizes low time delay.
In one embodiment, the MEMS sensor is a sensor supporting a LoRa wireless transmission protocol, and is configured to send the first analysis data to the on-board gateway or the on-site gateway through LoRa wireless transmission.
When the vehicle enters an area with poor cellular data network signals, the vehicle-mounted gateway can normally acquire the first analysis data uploaded by the state detection module, and the continuity of the data is ensured.
In one embodiment, the condition detection module comprises any one or more of a roof sensor, a bottom door travel sensor, a brake cylinder piston travel sensor, a train pipe pressure sensor, a brake cylinder pressure sensor, a bogie vibration sensor or a body vibration sensor.
The sensors are arranged at each monitoring point of the vehicle, corresponding state data are monitored, the running state of the vehicle can be reflected really, and continuous monitoring data are provided instead of monitoring of a ground 5T system.
In one embodiment, the vehicle-mounted gateway is provided with a positioning module.
The positioning module can be used for positioning in real time and sending the positioning module to the monitoring center through the server, so that vehicle management and control and scheduling can be realized, and rescue can be timely arranged if the vehicle meets emergency.
In one embodiment, when a vehicle is in an operation interval, if any one of the state data reaches a preset threshold value, the state detection module generates a prompt message and sends the prompt message to the vehicle-mounted gateway;
the vehicle-mounted gateway acquires current positioning information when receiving the prompt information, and sends the prompt information and the positioning information to the monitoring center through the server; the monitoring center is used for starting an emergency plan when receiving the prompt message and the positioning message, generating an emergency instruction according to the emergency plan and sending the emergency instruction to the mobile terminal.
The state detection module can carry out simple early warning, and through setting up the threshold value to different sensors, in case the data that this sensor detected reach the threshold value, then generate the suggestion information and send on-vehicle gateway and carry out the early warning, improve the efficiency of early warning, improve vehicle security.
In one embodiment, the positioning module comprises a GPS unit and/or a BDS unit.
In one embodiment, the vehicle gateway is provided with a low-power Bluetooth module;
and when detecting that the mobile terminal is in a Bluetooth connection range, the vehicle-mounted gateway sends the second analysis data to the mobile terminal through the low-power Bluetooth module.
Through bluetooth low energy module, vehicle-mounted gateway can realize directly establishing communication with the mobile terminal in the bluetooth communication range, makes the staff can acquire second analytic data more in time.
In one embodiment, the vehicle-mounted gateway sends the second analysis data to the mobile terminal via the server when the mobile terminal is not detected to be in the Bluetooth connection range.
The vehicle-mounted gateway can send data to the mobile terminal outside the operation interval through the server, and workers can conveniently prepare for the station-arrival overhaul of the vehicle.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the conventional technologies of the present application, the drawings and figures needed to be used in the description of the embodiments or the conventional technologies will be briefly introduced, it is obvious that the drawings and figures in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings and figures can be obtained according to the drawings and figures without creative efforts.
FIG. 1 is a schematic diagram of a railway wagon operation state monitoring system in one embodiment;
FIG. 2 is a schematic diagram of a railway wagon operation state monitoring system according to one embodiment;
fig. 3 is a diagram of a communication architecture of a railway freight car operation status monitoring system in one embodiment.
Description of reference numerals:
100. a state detection module; 200. a vehicle-mounted gateway; 300. a local gateway; 400. a server; 500. a monitoring center; 600. a mobile terminal.
Detailed Description
To facilitate an understanding of the present application, the present application will now be described more fully with reference to the accompanying drawings. Embodiments of the present application are set forth in the accompanying drawings. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
It will be understood that when an element is referred to as being "connected" to another element, it can be directly connected to the other element or be connected to the other element through intervening elements. Further, "connection" in the following embodiments is understood to mean "electrical connection", "communication connection", or the like, if there is a transfer of electrical signals or data between the connected objects.
As used herein, the singular forms "a", "an" and "the" may include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises/comprising," "includes" or "including," etc., specify the presence of stated features, integers, steps, operations, components, parts, or combinations thereof, but do not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof. Also, as used in this specification, the term "and/or" includes any and all combinations of the associated listed items.
As described in the background art, the monitoring system in the prior art has problems of scattered monitoring positions, discontinuous data, and the like, and the inventor finds that the problems occur because the 5T system is a ground system, wherein an infrared shaft temperature detection system (THDS) is a system that applies technologies such as optics, infrared remote sensing, information processing, communication networking, automatic control, and the like, sets an ambient temperature as a reference, detects the magnitude of infrared radiation emitted by each vehicle bearing by using an infrared detector in an infrared probe provided at a rail side, and converts the magnitude of infrared radiation into a corresponding voltage signal. The higher the temperature of the bearing surface is, the higher the infrared radiation energy is, and the higher the corresponding voltage value output by the infrared probe is, so that the purposes of detecting the axle temperature of the vehicle and finding the hot axle are achieved. And (4) giving an alarm to train axles with excessive temperature rise through data comparison and analysis. A dynamic image detection system (TFDS) for the operation faults of a truck dynamically detects hidden faults and common faults of the running truck by adopting a high-speed continuous digital photographing technology, a high-capacity image data real-time processing technology and an accurate positioning technology and utilizing a rail-side high-speed camera. The rail side acoustic diagnosis system (TADS) for early faults of the rolling bearing of the truck utilizes a rail side noise acquisition array to acquire the noise of the rolling bearing of the moving truck in real time, and the early faults of the rolling bearing of the truck are found in time through data analysis. When the freight train operation state ground safety monitoring system (TPDS) is used, a track testing system arranged on a straight line section of a whole railway is utilized to dynamically monitor dynamic parameters among wheel tracks, the operation state of the freight train is analyzed and judged, the functions of wheel scratch and overload monitoring are achieved, networking tracking alarm is implemented on the freight train with poor operation quality, wheel tread scratch is forecasted to train front inspection, and overload of goods is early warned. The passenger train operation safety monitoring system (TCDS) is used for comprehensively detecting axle temperature, power supply, vehicle doors, a power supply under the doors, fire, an air conditioner, fireproof paint, a basic braking system, a bogie and vehicle dynamics, and mainly monitors the faults of a hot axle accident, a fire accident, a power supply fault, a braking system and a running gear of a passenger train. Obviously, except for the TCDS, the other monitoring devices are all ground monitoring, the monitoring is realized through the device arranged on the edge of the track, the cost is generally considered, the monitoring devices can not be arranged on the whole track, but one set of monitoring devices is arranged at intervals, so that the monitoring positions are dispersed, the monitoring data are discontinuous, the TCDS can not realize the functions of other detection systems, and original collected data are directly transmitted to the ground through an antenna, the data volume is huge, the transmission has time delay, and the monitoring timeliness is influenced.
For the above reasons, the present invention provides a solution capable of providing more timely and accurate operation state monitoring,
in one embodiment, as shown in fig. 1, there is provided a railway wagon operation state monitoring system, comprising:
the state detection module 100 is arranged at each monitoring point of the vehicle and used for acquiring state data of the vehicle and performing edge calculation on the state data to obtain first analysis data;
the vehicle-mounted gateway 200 is arranged on the vehicle, and is configured to acquire first analysis data uploaded by the state detection module 100 when the vehicle is in the operation section, perform fog calculation on the first analysis data to obtain second analysis data, and upload the second analysis data to the server 400;
the local gateway 300 is disposed in the non-operating region, and configured to acquire first analysis data uploaded by the state detection module 100 when the vehicle is in the non-operating region, perform fog calculation on the first analysis data to obtain third analysis data, and upload the third analysis data to the server 400; the server 400 is configured to send the second analysis data or the third analysis data to the monitoring center 500;
and the monitoring center 500 is used for giving an alarm when the abnormal state or the fault of the vehicle is judged according to the second analysis data or the third analysis data.
Each monitoring point of the vehicle is a location where status data needs to be collected, such as a roof, a swing arm of a bottom door, a piston of a brake cylinder, a train pipe, a brake cylinder, a bogie, a surface of a vehicle body, and the like. The state monitoring module has data processing capacity, can carry out edge data on the acquired state data to obtain first analysis data and then upload the first analysis data, reduces the uploaded data volume, improves the uploading speed and reduces delay.
The vehicle-mounted gateway 200 is disposed on the vehicle, and is configured to connect with the state detection module 100, acquire the first analysis data, and perform data interaction with the server 400 through the cellular data network. The operation interval, that is, the operation area between two adjacent stations, is not provided with the local gateway 300, so that the second analysis data can be directly uploaded to the server 400 through the vehicle-mounted gateway 200, and the server 400 sends the second analysis data to the monitoring center. The vehicle-mounted gateway 200 performs fog calculation on the first analysis data, and further performs calculation analysis and data coupling to obtain second analysis data, so that the data volume can be further reduced, and the efficiency of uploading to the server 400 is optimized.
The non-operation interval is the website, and when the vehicle reached the website, state detection module 100 can directly send first analytic data to gateway 300 on the spot, and ground staff can directly obtain data from gateway 300 on the spot and look over, and gateway 300 on the spot also can carry out fog calculation to first analytic data, obtains third analytic data and uploads to server 400, and server 400 sends to monitoring center 500 again and carries out the unified control. The vehicle loading and unloading are carried out in a non-operation region, after the loading and unloading are finished, the monitoring center 500 judges whether the vehicle is abnormal or fails according to the interaction operation of field workers and third analysis data provided by the on-site gateway 300, and in one embodiment, if the vehicle is abnormal or fails, the monitoring center can send an alarm to the mobile terminal 600 of a worker through sound and light alarm or send an alarm to prompt the worker to overhaul, so that the inspection efficiency and the transportation safety of the vehicle are improved.
It will be understood that the terms "first," "second," and the like as used herein may be used herein to describe various data, but the data is not limited by these terms. These terms are only used to distinguish data produced by different nodes. For example, the first analysis data is generated by the status detection module 100, the second analysis data is generated by the on-board gateway 200, and the third analysis data is generated by the on-site gateway 300, wherein the second analysis data may be the same as or different from the third analysis data.
In the railway wagon running state monitoring system, the wagon is provided with the state detection module 100 which directly acquires the state data of the wagon, performs edge calculation to obtain first analysis data, and uploads the first analysis data to the vehicle-mounted gateway 200 when the wagon is in a running region; when the vehicle is in a non-operation interval, the first analysis data is uploaded to the local gateway 300, the vehicle-mounted gateway 200 or the local gateway 300 performs fog calculation on the first analysis data to obtain second analysis data or third analysis data and uploads the second analysis data or the third analysis data to the server 400, the server 400 sends the second analysis data or the third analysis data to the monitoring center 500, the monitoring center 500 judges whether the vehicle state is abnormal or failed according to the second analysis data or the third analysis data, real-time monitoring of the railway wagon is achieved, preprocessing is performed on the data by utilizing edge calculation and fog calculation, load pressure of data transmission is reduced, time delay is reduced, and timeliness and accuracy of monitoring are improved.
In one embodiment, the system for monitoring the running state of the railway wagon further comprises:
and the mobile terminal 600 is configured to acquire and display the second analysis data sent by the in-vehicle gateway 200 or the third analysis data sent by the local gateway 300.
The mobile terminal 600 includes, but is not limited to, a personal computer, a smart phone, a palm top computer, a wearable device, and other computer devices. The working personnel can check the running state of the vehicle in time through the mobile terminal 600, and if the working personnel takes the vehicle and is in a running interval, second analysis data sent by the vehicle-mounted gateway 200 are obtained and displayed; and if the staff is at the site, acquiring and displaying the third analysis data sent by the local gateway 300.
In one embodiment, the mobile terminal can also obtain an instruction sent by the monitoring center, for example, the monitoring center determines that the vehicle is abnormal, and can send a maintenance instruction to the mobile terminal, and the worker can timely perform maintenance after the mobile terminal receives the maintenance instruction.
In one embodiment, the state detection module 100 includes more than one MEMS sensor distributed at each monitoring point of the vehicle for collecting state data of the vehicle and performing edge calculation to obtain the first analysis data.
The MEMS sensor can be adopted in consideration of the fact that the traditional sensor is complex in structure, large in size, easy to damage, required to be maintained and checked continuously, complex to install and incapable of acquiring detection data in time once damaged. MEMS are known as Micro-ElectroMechanical systems (Micro-ElectroMechanical systems) and are smaller than conventional machines, up to a maximum of one centimeter or even just a few micrometers, and have a much smaller thickness. The material mainly made of silicon has excellent electrical performance, the strength, hardness and Young modulus of the silicon material are equivalent to those of iron, the density of the silicon material is similar to that of aluminum, and the thermal conductivity of the silicon material is close to that of molybdenum and tungsten. By adopting a generation technology similar to an Integrated Circuit (IC), mature technologies and processes in IC production can be utilized in a large quantity to carry out mass production with low cost, so that the cost performance is greatly improved compared with the traditional mechanical manufacturing technology. The MEMS sensor is used as a key device for acquiring information, plays a great promoting role in the miniaturization of various sensing devices, and is widely applied to the fields of space satellites, carrier rockets, aerospace equipment, airplanes, various vehicles, biomedical science, consumer electronics and the like. The MEMS sensor is adopted to monitor the state data of the railway wagon, the MEMS sensor is small in size, high in sensitivity and low in power consumption, can be conveniently and nondestructively mounted on a vehicle, guarantees the reliability of the monitored data, has certain computing capacity, can perform edge computing on the state data, further realizes the light weight of data transmission load, reduces the pressure of the data transmission load, and realizes low time delay.
In one embodiment, the MEMS sensor is a sensor supporting the LoRa wireless transmission protocol, and is configured to transmit the first analysis data to the on-board gateway 200 or the on-site gateway 300 through LoRa wireless transmission.
LoRa is a low power consumption local area network wireless standard, and in the communication standard before this, low power consumption is usually difficult to cover long distance, and long distance usually consumes high power. The Long Range Radio is characterized in that the Long Range Radio is longer in transmission distance than other Radio modes under the same power consumption condition, low power consumption and Long distance unification are realized, and the Long Range Radio is 3-5 times longer than the traditional Radio frequency communication distance under the same power consumption condition. The transmission distance can reach 2-5Km in towns and 15Km in suburbs. The operating frequency may be an ISM band including 433, 868, 915MH, etc. The modulation mode is a variant of linear modulation spread spectrum (CSS) based on spread spectrum technology, and has Forward Error Correction (FEC) capability, and one LoRa gateway can be connected with thousands of LoRa nodes. The transmission rate is generally several hundreds to several tens of Kbps, and the lower the rate, the longer the transmission distance. Therefore, the data volume is reduced after the data is subjected to edge calculation by matching with the MEMS sensor, and the data transmission rate can be effectively improved. When the vehicle enters an area with poor cellular data network signals, the vehicle-mounted gateway can normally acquire the first analysis data uploaded by the state detection module, and the continuity of the data is ensured.
In one embodiment, the condition detection module 100 comprises any one or more of a roof sensor, a bottom door travel sensor, a brake cylinder piston travel sensor, a rail pressure sensor, a brake cylinder pressure sensor, a bogie vibration sensor or a body vibration sensor.
The roof sensors are used for detecting the positions of all vehicle roofs, the bottom door stroke sensors are used for detecting the positions of swing arms of vehicle bottom doors (namely over dead centers), the brake cylinder piston stroke sensors are used for detecting the stroke of brake cylinders, the train pipe pressure sensors are used for detecting the pressure of train pipes, the brake cylinder pressure sensors are used for detecting the pressure in the brake cylinders, the bogie vibration sensors are used for detecting bogie vibration signals, the vehicle body vibration sensors are used for detecting vehicle body vibration signals, the sensors are arranged at all monitoring points of the vehicles, corresponding state data are monitored, the running states of the vehicles can be truly reflected, monitoring of a ground 5T system is replaced, and continuous monitoring data are provided.
In one embodiment, the in-vehicle gateway 200 is provided with a location module.
The positioning module can position in real time, sends the current position of the vehicle to the server 400, and the server 400 sends the monitoring center 500 again, so that the monitoring center 500 can realize vehicle management and control and scheduling, and can also arrange rescue in time if the vehicle meets emergency.
In one embodiment, when the vehicle is in the running zone, if any one of the state data reaches the preset threshold, the state detection module 100 generates a prompt message and sends the prompt message to the vehicle-mounted gateway 200;
the vehicle-mounted gateway 200 acquires the current positioning information when receiving the prompt information, and sends the prompt information and the positioning information to the monitoring center 500 through the server 400; the monitoring center 500 is configured to start an emergency plan when receiving the prompt message and the positioning message, and generate an emergency instruction according to the emergency plan and send the emergency instruction to the mobile terminal 600.
The state detection module 100 can perform simple early warning, threshold values are set for different sensors, once data detected by the sensors reach the threshold values, prompt information is generated and sent to the vehicle-mounted gateway 200 to perform early warning, the vehicle-mounted gateway 200 acquires positioning information at the moment when receiving the prompt information, the positioning information and the prompt information are sent to the monitoring center 500 through the server 400, the monitoring center 500 can start an emergency plan in time, and sends a corresponding emergency instruction to the mobile terminal 600, and the mobile terminal 600 of a worker executes emergency processing after receiving the emergency instruction, so that the early warning efficiency is improved, and the vehicle safety is improved.
In one embodiment, the positioning module includes a GPS unit and/or a BDS unit.
The BDS unit is the Beidou navigation unit, and the positioning module can realize positioning through one of the GPS unit or the BDS unit and also can realize positioning through the cooperation of the GPS unit and the BDS unit, so that the positioning precision is improved.
In one embodiment, the vehicle gateway 200 is provided with a bluetooth low energy module;
when detecting that the mobile terminal 600 is within the bluetooth connection range, the in-vehicle gateway 200 transmits second analysis data to the mobile terminal 600 through the bluetooth low energy module.
Bluetooth low energy is an intelligent, low-power bluetooth wireless technology, and its intelligent degree has further been improved through the size that reduces intelligent equipment, reduce its price and complexity. The conventional bluetooth has a problem in that a battery is rapidly exhausted and the number of connection disconnection times is frequent, and thus frequent repetitive pairing is required. Bluetooth low energy successfully addresses these problems. Bluetooth low energy is designed from profile design to usage, all with the lowest power consumption as the design goal. To reduce power consumption, bluetooth low energy devices are in sleep mode most of the time. When activity occurs, the device will automatically wake up and send a signal to a gateway, personal computer or smartphone. The maximum/peak power consumption does not exceed 15 milliamps and the average power consumption is about 1 microamp. The power consumption in use is reduced to one tenth of that of conventional bluetooth. In less-used applications, one button cell can maintain stable operation for 5 to 10 years. The modulation of bluetooth low energy technology is slightly different from that of the conventional bluetooth technology. A bluetooth low energy piconet is typically based on a master device connected to a plurality of slave devices. In a piconet, all devices are either masters or slaves, but cannot act as both masters and slaves. The master device controls the communication frequency of the slave device, and the slave device can only communicate according to the requirements of the master device. Compared with the traditional Bluetooth technology, a new function added by the low-power Bluetooth technology is a broadcast function. By this function, the slave device can inform it that it needs to send data to the master device. The broadcast message also includes activity or measurements.
Through bluetooth low energy module, on-vehicle gateway 200 can realize directly establishing the communication with the mobile terminal 600 of bluetooth communication within range, sends second analysis data, makes the staff can acquire second analysis data more in time, and bluetooth low energy module can broadcast simultaneously, sends second analysis data to a plurality of mobile terminal 600 simultaneously, improves the timeliness and the validity of monitoring.
In one embodiment, the in-vehicle gateway 200 transmits the second analysis data to the mobile terminal 600 via the server 400 when it is not detected that the mobile terminal 600 is within the bluetooth connection range.
When the mobile terminal 600 is not in the bluetooth connection range of the vehicle-mounted gateway 200, if it is necessary to send related data to the worker, the server 400 may send second analysis data to the mobile terminal 600 through the cellular data network, the vehicle-mounted gateway 200 uploads the second analysis data to the server 400 through the cellular data network, and the server 400 sends the second analysis data to the mobile terminal 600 through the cellular data network.
In one embodiment, the server 400 may perform cloud computing on the second analysis data and the third analysis data, and after further computation and analysis, send the processed data to the monitoring center 500 or the mobile terminal 600, further reduce the amount of transmitted data, shorten the data transmission delay, improve the emergency processing efficiency of vehicle faults or abnormalities, and improve the vehicle safety.
In the description herein, references to the description of "some embodiments," "other embodiments," "desired embodiments," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, a schematic description of the above terminology may not necessarily refer to the same embodiment or example.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A railway wagon running state monitoring system is characterized by comprising:
the state detection module is arranged at each monitoring point of the vehicle and used for acquiring state data of the vehicle and carrying out edge calculation on the state data to obtain first analysis data;
the vehicle-mounted gateway is arranged on a vehicle and used for acquiring the first analysis data uploaded by the state detection module when the vehicle is in an operation interval, performing fog calculation on the first analysis data to obtain second analysis data, and uploading the second analysis data to a server;
the local gateway is arranged in a non-operation interval and used for acquiring the first analysis data uploaded by the state detection module when the vehicle is in the non-operation interval, performing fog calculation on the first analysis data to obtain third analysis data, and uploading the third analysis data to the server; the server is used for sending the second analysis data or the third analysis data to a monitoring center;
and the monitoring center is used for sending out an alarm when judging that the vehicle state is abnormal or has a fault according to the second analysis data or the third analysis data.
2. A railway wagon operation state monitoring system as claimed in claim 1, further comprising:
and the mobile terminal is used for acquiring and displaying the second analysis data sent by the vehicle-mounted gateway or the third analysis data sent by the local gateway.
3. The system for monitoring the running state of the railway wagon according to claim 1 or 2, wherein the state detection module comprises more than one MEMS sensor, and the MEMS sensors are distributed at each monitoring point of the wagon and used for acquiring the state data of the wagon and performing edge calculation to obtain the first analysis data.
4. The running state monitoring system of the railway wagon as claimed in claim 3, wherein the MEMS sensor is a sensor supporting a LoRa wireless transmission protocol and is used for sending the first analysis data to the on-board gateway or the on-site gateway through the LoRa wireless transmission.
5. A railway wagon running condition monitoring system as claimed in claim 4, wherein the condition detection module comprises any one or more of a roof sensor, a bottom door travel sensor, a brake cylinder piston travel sensor, a rail pressure sensor, a brake cylinder pressure sensor, a bogie vibration sensor or a car body vibration sensor.
6. A railway wagon operation state monitoring system as claimed in claim 5, wherein the vehicle-mounted gateway is provided with a positioning module.
7. The railway wagon running state monitoring system as claimed in claim 6, wherein the state detection module generates a prompt message and sends the prompt message to the vehicle-mounted gateway when a vehicle is in a running zone and any one of state data reaches a preset threshold value;
the vehicle-mounted gateway acquires current positioning information when receiving the prompt information, and sends the prompt information and the positioning information to the monitoring center through the server; the monitoring center is used for starting an emergency plan when receiving the prompt message and the positioning message, generating an emergency instruction according to the emergency plan and sending the emergency instruction to the mobile terminal.
8. A railway wagon operation state monitoring system as claimed in claim 6, wherein the positioning module comprises a GPS unit and/or a BDS unit.
9. The railway wagon running state monitoring system as claimed in claim 2, wherein the vehicle-mounted gateway is provided with a low-power Bluetooth module;
and when detecting that the mobile terminal is in a Bluetooth connection range, the vehicle-mounted gateway sends the second analysis data to the mobile terminal through the low-power Bluetooth module.
10. A railway wagon operation state monitoring system as claimed in claim 6, wherein the vehicle-mounted gateway transmits the second analysis data to the mobile terminal via the server when not detecting that the mobile terminal is within a Bluetooth connection range.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011476581.8A CN112581056A (en) | 2020-12-15 | 2020-12-15 | Railway wagon running state monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011476581.8A CN112581056A (en) | 2020-12-15 | 2020-12-15 | Railway wagon running state monitoring system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112581056A true CN112581056A (en) | 2021-03-30 |
Family
ID=75136193
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011476581.8A Pending CN112581056A (en) | 2020-12-15 | 2020-12-15 | Railway wagon running state monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112581056A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113311812A (en) * | 2021-05-28 | 2021-08-27 | 中车齐齐哈尔车辆有限公司 | Data reporting method of railway wagon and vehicle-mounted monitoring system |
| CN113341918A (en) * | 2021-05-28 | 2021-09-03 | 北京时域智控技术有限公司 | Railway wagon monitoring system and method |
| CN113490070A (en) * | 2021-05-28 | 2021-10-08 | 北京时域智控技术有限公司 | Railway wagon ticket-inserting gateway and operation method thereof |
| CN113511234A (en) * | 2021-05-28 | 2021-10-19 | 中车齐齐哈尔车辆有限公司 | Train network of railway wagon vehicle-mounted monitoring system |
| CN114580050A (en) * | 2021-12-23 | 2022-06-03 | 北京交通大学 | Axle coupling dynamic analysis system based on various complex mechanical effects |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102785681A (en) * | 2012-07-30 | 2012-11-21 | 北京锦鸿希电信息技术股份有限公司 | Method, equipment and system for monitoring on-road safety condition of train |
| US20130062474A1 (en) * | 2010-05-31 | 2013-03-14 | Central Signal, Llc | Train detection |
| CN105564468A (en) * | 2016-03-07 | 2016-05-11 | 成都优立科科技有限公司 | Railway freight car traffic safety monitoring system and method |
| CN109733439A (en) * | 2018-12-14 | 2019-05-10 | 中国铁道科学研究院集团有限公司通信信号研究所 | Locomotive vehicle-mounted monitoring information integrated transmission system and method |
| CN109948169A (en) * | 2017-12-20 | 2019-06-28 | 中国中车股份有限公司 | A kind of railway freight-car prognostic and health management system |
| CN111891189A (en) * | 2020-07-10 | 2020-11-06 | 中车齐齐哈尔车辆有限公司 | Monitoring method, system, device, storage medium and processor for railway vehicle |
-
2020
- 2020-12-15 CN CN202011476581.8A patent/CN112581056A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130062474A1 (en) * | 2010-05-31 | 2013-03-14 | Central Signal, Llc | Train detection |
| CN102785681A (en) * | 2012-07-30 | 2012-11-21 | 北京锦鸿希电信息技术股份有限公司 | Method, equipment and system for monitoring on-road safety condition of train |
| CN105564468A (en) * | 2016-03-07 | 2016-05-11 | 成都优立科科技有限公司 | Railway freight car traffic safety monitoring system and method |
| CN109948169A (en) * | 2017-12-20 | 2019-06-28 | 中国中车股份有限公司 | A kind of railway freight-car prognostic and health management system |
| CN109733439A (en) * | 2018-12-14 | 2019-05-10 | 中国铁道科学研究院集团有限公司通信信号研究所 | Locomotive vehicle-mounted monitoring information integrated transmission system and method |
| CN111891189A (en) * | 2020-07-10 | 2020-11-06 | 中车齐齐哈尔车辆有限公司 | Monitoring method, system, device, storage medium and processor for railway vehicle |
Non-Patent Citations (2)
| Title |
|---|
| WANG, ZY (WANG, ZHONGYING): "A Tentative Design of Operating Environmental Monitoring and Warning System of High-speed Trains Based on A Wireless Sensor Network", 2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) * |
| 李辉;韩清亮;田云;刘美霞;: "基于双网的GYK远程维护监测系统技术研究", 铁道通信信号, no. 10, pages 2 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113311812A (en) * | 2021-05-28 | 2021-08-27 | 中车齐齐哈尔车辆有限公司 | Data reporting method of railway wagon and vehicle-mounted monitoring system |
| CN113341918A (en) * | 2021-05-28 | 2021-09-03 | 北京时域智控技术有限公司 | Railway wagon monitoring system and method |
| CN113490070A (en) * | 2021-05-28 | 2021-10-08 | 北京时域智控技术有限公司 | Railway wagon ticket-inserting gateway and operation method thereof |
| CN113511234A (en) * | 2021-05-28 | 2021-10-19 | 中车齐齐哈尔车辆有限公司 | Train network of railway wagon vehicle-mounted monitoring system |
| CN114580050A (en) * | 2021-12-23 | 2022-06-03 | 北京交通大学 | Axle coupling dynamic analysis system based on various complex mechanical effects |
| CN114580050B (en) * | 2021-12-23 | 2024-02-23 | 北京交通大学 | Axle coupling power analysis system based on multiple complex mechanical effects |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112581056A (en) | Railway wagon running state monitoring system | |
| US20220397487A1 (en) | System, Method and Apparatus for Monitoring the Health of Railcar Wheelsets | |
| CN107380202B (en) | Based on NB-IoT net rail vehicle Spindle Status monitoring method and system | |
| RU2640389C1 (en) | Train and railway depot management system | |
| CN107031681B (en) | Track condition monitoring sensor apparatus and method of detecting condition of track bearing | |
| CN107380201B (en) | Based on wide area network and local area network axle health status monitoring method and monitoring system | |
| RU2677840C2 (en) | System and method for detecting operational anomalies in train consists and railcars | |
| RU2457131C2 (en) | Railway train monitoring system | |
| US7705743B2 (en) | Self-assembling wireless network, vehicle communications system, railroad wheel and bearing monitoring system and methods therefor | |
| CN107972695A (en) | A kind of Internet of Things rail vehicle axle health status intellectual monitoring administrative system apparatus | |
| US8560151B2 (en) | Dynamic monitoring of mobile railway car undercarriage | |
| RU2613188C2 (en) | System and method for controlling operational characteristics of railway carriage | |
| CN106023631A (en) | IBeacon technology-based storage logistics vehicle monitoring system | |
| CN103727978A (en) | Wagon state real-time monitoring terminal and method based on compass communications | |
| CN113479237A (en) | Intelligent railway wagon system | |
| CN209014944U (en) | A kind of railway goods vehicle on-board safety monitoring assembly | |
| CN210083231U (en) | Train axle temperature detection device and train monitoring system | |
| Carvalhosa et al. | Multipurpose sensing platform for improved road safety | |
| CN112665772B (en) | Train pipe inspection system and 25t axle weight aluminum alloy coal hopper car system | |
| CN108709652A (en) | A kind of vehicle axle temperature monitoring system and monitoring method | |
| CN217466070U (en) | Heavy-duty truck brake cylinder pressure monitoring system based on 4G + LoRa | |
| CN112697338B (en) | Train pipe monitoring device and system and 25t axle weight aluminum alloy coal hopper car system | |
| CN106080656A (en) | Railway freight-car bearing temperature monitoring circuit and monitoring method thereof | |
| CN113341918A (en) | Railway wagon monitoring system and method | |
| Reynolds et al. | Energy harvesting for asset condition monitoring and remote sensing in the rail industry |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |