CN113581248A - Axle counting monitoring method and system - Google Patents
Axle counting monitoring method and system Download PDFInfo
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- CN113581248A CN113581248A CN202110603804.0A CN202110603804A CN113581248A CN 113581248 A CN113581248 A CN 113581248A CN 202110603804 A CN202110603804 A CN 202110603804A CN 113581248 A CN113581248 A CN 113581248A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 153
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000012545 processing Methods 0.000 claims abstract description 58
- 230000008569 process Effects 0.000 claims abstract description 9
- 238000007418 data mining Methods 0.000 claims description 7
- 238000013135 deep learning Methods 0.000 claims description 6
- 238000012423 maintenance Methods 0.000 abstract description 10
- 230000000694 effects Effects 0.000 abstract description 6
- 238000013461 design Methods 0.000 description 6
- 230000005540 biological transmission Effects 0.000 description 5
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L1/00—Devices along the route controlled by interaction with the vehicle or train
- B61L1/16—Devices for counting axles; Devices for counting vehicles
- B61L1/163—Detection devices
- B61L1/165—Electrical
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- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
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Abstract
The invention discloses an axle counting monitoring method, which comprises the following steps: acquiring monitoring data of an outdoor sensor monitoring unit and transmitting the monitoring data to a cloud server; and the cloud server processes the monitoring data to obtain a processing result. Has the advantages that: the monitoring data are subjected to cloud computing processing through the cloud server, so that the effect of monitoring and centralized processing of the monitoring data in multiple places is achieved, and the monitoring data processing system has the advantages of being centralized in data processing, convenient to manage and free of influence on operation and maintenance of existing equipment. The invention also provides an axle counting monitoring system applying the method.
Description
Technical Field
The invention relates to the technical field of railway signal axle counting systems, in particular to an axle counting monitoring method and system.
Background
The axle counting equipment is installed on stations at two ends of a railway, the passing number of wheel pairs of the train is detected by using sensors installed on steel rails, and three states of whether a track section is free, occupied or interfered are represented by microcomputer calculation. In other words, a railway signaling device capable of detecting the passage of a wheel.
At present, most of domestic axle counting monitoring systems are dispersed, signal waveforms of outdoor equipment cannot be monitored, monitoring data are complex to check, diagnosis and maintenance of the equipment are often in a lagging state, and a statistical function of track data is lacked.
Therefore, how to optimize the axle counting monitoring method becomes an important technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
In view of this, the invention provides an axis counting monitoring method, in which a cloud server is used to process acquired monitoring data and output the processed result, that is, the monitoring data is subjected to cloud computing processing by a third party, so as to meet the requirement of reducing the labor intensity of operators, and the method has the advantages of data processing centralization and convenience in management, and does not affect the operation and maintenance of the existing equipment.
The invention also provides an axle counting monitoring system applying the method.
In order to achieve the purpose, the invention provides the following technical scheme:
an axle counting monitoring method comprising:
acquiring monitoring data of an outdoor sensor monitoring unit and transmitting the monitoring data to a cloud server;
and the cloud server processes the monitoring data to obtain a processing result.
Further, the processing the monitoring data includes: sensor signals, shaft number, zone state, working mode and alarm information.
Further, the cloud server processes the monitoring data, including:
and the cloud server performs data mining and/or deep learning according to the monitoring data.
Further, the processing result includes:
zone status, operating mode, number of axes, sensor signal waveform, alarm and/or pre-alarm.
Further, after the obtaining of the processing result, the method further includes:
and acquiring the monitoring data from the cloud server according to the station as a unit to draw a station map.
Further, after the obtaining the processing result, the method further includes:
and acquiring the monitoring data and/or the processing result from the cloud server.
Further, after the obtaining the monitoring data and/or the processing result from the cloud server, the method further includes:
and displaying the monitoring data and/or the processing result.
Further, after the obtaining of the processing result, the method further includes:
and storing the monitoring data and/or the processing result.
An axle counting monitoring system comprising: a wireless gateway and a cloud server;
the wireless gateway is used for acquiring monitoring data of the outdoor sensor monitoring unit and transmitting the monitoring data to the cloud server;
the cloud server is used for processing the monitoring data to obtain a processing result.
Further, still include: monitoring a client;
the monitoring client is used for acquiring the monitoring data and/or the processing result from the cloud server.
According to the axle counting monitoring method, the information of the outdoor sensors arranged in different sections is obtained, cloud computing processing is carried out on the monitoring data through the cloud server, namely data mining and deep learning are carried out, unknown equipment faults and risks are discovered, the monitoring data are rapidly displayed, management of an axle counting system by station workers is facilitated, and the axle counting monitoring method has the advantages of being large in number of monitoring places, high in data transmission orderliness and convenient to manage.
The present invention further provides an axle counting monitoring system, which has corresponding advantages due to the adoption of the axle counting method, and specific reference may be made to the foregoing description, which is not repeated herein.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of an axle counting monitoring method according to an embodiment of the present invention;
fig. 2 is an expanded schematic view of an S020 process of an axle counting monitoring method according to an embodiment of the invention;
fig. 3 is a schematic flow chart of S220 of the axle counting monitoring method according to the embodiment of the present invention;
fig. 4 is a schematic diagram of an axle counting monitoring system according to an embodiment of the present invention.
Detailed Description
In order to improve the maintenance efficiency of the track axle counting equipment and reduce the maintenance cost, the invention provides an axle counting monitoring system based on wireless. The monitoring system comprises an outdoor sensor monitoring unit, an indoor axle counting monitoring unit, a wireless gateway, a cloud server, a monitoring client and other modules. The indoor and outdoor monitoring units transmit data to the wireless gateway in a wireless mode, the wireless gateway transmits the data to the cloud server, and the server performs data mining and post-processing on a large amount of data and displays monitoring information and diagnosis results to the monitoring client. The system is completely wireless in transmission, simple in deployment and convenient to maintain, can monitor the waveform change of outdoor sensor signals, intelligently diagnoses all monitoring data, improves maintenance efficiency, and can guarantee high safety and high reliability.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An axle counting monitoring method provided by an embodiment of the present invention, referring to fig. 1, includes:
s010: acquiring monitoring data of an outdoor sensor monitoring unit and transmitting the monitoring data to a cloud server;
s020: and the cloud server processes the monitoring data to obtain a processing result.
It should be noted that a plurality of outdoor sensor monitoring units can be distributed according to the track scene and deploy, and every outdoor sensor monitoring unit all is equipped with unique address, transmits the monitoring data that a plurality of outdoor sensor monitoring units monitored obtained to the high in the clouds server, and the big data processing through the high in the clouds server obtains the processing result, realizes monitoring in many places and the effect of centralized processing monitoring data, and this scheme so designs, has that data processing is concentrated, the data processing effect is good and the characteristics of being convenient for manage.
In order to optimize the above technical solution, the monitoring data includes: sensor signals, shaft number, zone state, working mode and alarm information.
It should be noted that the monitoring data further comprises station names, sensor names and zone names, the data are configured in the cloud server in a user configuration mode, each outdoor sensor unit is managed conveniently and accurately, and the monitoring system has the advantages of being high in monitoring comprehensiveness and good in centralized management effect due to the design.
Referring to fig. 2, the cloud server processes monitoring data, including:
s120: and the cloud server performs data mining and/or deep learning according to the monitoring data.
It should be noted that, the cloud server can mine these data based on the received monitoring data, find outdoor sensor unit trouble or other abnormal state of arbitrary department fast, still can carry out the degree of depth study to these data simultaneously, keep these data and form new database in existing database, provide very big help for making the early warning for the equipment that will damage, can reduce the intensity of labour of axle counting staff by a wide margin, this scheme so designs, have to unusual situation response speed fast, early warning ability is strong and labour saving and time saving's characteristics.
Referring to fig. 2, the processing results include:
s220: zone status, operating mode, number of axes, sensor signal waveform, alarm and/or pre-alarm.
It should be noted that after the monitoring data is processed by the cloud server, additional early warning information can be obtained and provided to the client together with the received information such as the zone state, the number of axles, the waveform of the sensor signal and the alarm, and a manager can know various conditions of the track zone according to the information, conveniently and early predict the equipment to be damaged or the damaged equipment, and timely maintain the equipment.
Referring to fig. 3, after obtaining the processing result, the method further includes:
s221: and acquiring monitoring data from a cloud server according to the station as a unit to draw a station map.
It should be noted that the plurality of outdoor sensor units are deployed in a distributed manner by taking the station as a unit, the cloud server can draw a station map by acquiring monitoring data of the plurality of outdoor sensor units, the station map can be one, multiple or even national stations, and the design of the scheme has the characteristics of multiple monitoring places and good monitoring effect.
After obtaining the processing result, the method further comprises the following steps:
s222: and acquiring monitoring data and/or processing results from the cloud server.
It should be noted that, the monitoring data processed by the cloud server all obtain corresponding processing results, and preparation is made for the next step by obtaining the monitoring data and the processing results.
After acquiring the monitoring data and/or the processing result from the cloud server, the method further includes:
s223: and displaying the monitoring data and/or the processing result.
It should be noted that the monitoring data and the processing result can be displayed to one or more managers or operators in a multi-dimensional and multi-level manner, so that the state information of the track section can be conveniently known by a plurality of persons in real time, and meanwhile, the management level of the track section is further improved.
After obtaining the processing result, the method further comprises the following steps:
the monitoring data and/or the processing results are stored.
It should be noted that, after the cloud processor obtains the monitoring data or the processing result, the monitoring data and the processing result are stored in addition to being displayed to the user, so that the user can check the historical data of the outdoor sensor units in each section conveniently, and meanwhile, great help is provided for fault early warning and later maintenance.
An axle counting monitoring system comprising: a wireless gateway and a cloud server;
the wireless gateway is used for acquiring monitoring data of the outdoor sensor monitoring unit and transmitting the monitoring data to the cloud server;
the cloud server is used for processing the monitoring data to obtain a processing result.
It should be noted that wireless gateway wireless communication connects the high in the clouds server, and wireless gateway is as being responsible for transmitting the data set of monitoring unit to the medium of high in the clouds server, can dispose one or more wireless gateway according to the district distribution condition in every station, avoids data transmission abnormal situation to appear, and this scheme design so has the characteristics that data processing concentration is high and it is convenient to handle.
In order to optimize the above technical solution, the method further comprises: monitoring a client;
the monitoring client is used for acquiring monitoring data and/or processing results from the cloud server.
It should be noted that, monitoring customer end wireless communication connects the high in the clouds server, can follow the high in the clouds server and acquire monitoring data and processing result and show for the user, as the terminal of meter axle monitoring system, monitoring customer end can set up a plurality ofly, makes things convenient for each link of many people's control, but assurance system steady operation, and this scheme design has the high and good characteristics of data viewing effect of system operating stability.
The present solution is further described below with reference to specific embodiments.
This patent is a wireless monitoring system of track meter axle equipment, contains modules such as outdoor sensor monitoring unit, indoor meter axle monitoring unit, wireless gateway, high in the clouds server, monitoring client.
The monitoring unit module of the system can be distributed according to the track site, each monitoring unit has a unique address, and each station deploys one or more wireless gateways according to the distribution condition of the sections and is responsible for transmitting the data of the monitoring units to the cloud server in a centralized manner. The information of the monitoring type, the station, the sensor name, the zone name, and the like of each monitoring unit can be configured at the server side.
After the cloud server collects monitoring data of the axle counting equipment in real time, data mining and deep learning are carried out on all the data, and then information such as faults, abnormity, early warning and the like of the axle counting equipment or the track is stored in the server.
After the monitoring client acquires data from the cloud end to draw a station map according to a station as a unit, the monitoring data can be displayed on the client end in real time through the cloud end server, the data comprise zone state, shaft number, sensor signal waveform, alarm, early warning and the like, and the functions of historical data query and the like are provided, so that fault diagnosis and positioning are convenient.
The wireless-based axle counting monitoring system provided by the invention can realize comprehensive data centralized monitoring of the outdoor and indoor axle counting equipment. The system is combined with cloud computing through a wireless transmission technology and used for centralized data monitoring of sensor signal waveforms and axle counting equipment in a station, alarming and trend of an axle counting system are provided for a station operator in real time through cloud big data computing, a reference basis is provided for the operator to maintain the axle counting equipment, labor intensity of the operator for confirming a section is reduced, and operation safety is improved; in addition, the system is completely wireless in transmission, simple in deployment and convenient to maintain, can monitor the waveform change of outdoor sensor signals, intelligently diagnose all monitoring data, improve the maintenance efficiency, ensure high safety and high reliability, and has the characteristics of simple structure, no damage to existing equipment, less outdoor construction and convenience in installation and maintenance.
The key points of the scheme are as follows:
1. the outdoor sensor signal is transmitted to the cloud server in a wireless mode.
2. The monitoring system is simple to deploy, does not need wiring, and does not influence the operation of the existing axle counting equipment.
3. And the cloud server is used for mining big data, deeply learning and discovering abnormal states of equipment or sections.
4. The configuration of all monitoring units is configured through the server, and no configuration is needed on site.
5. Monitoring data and state information are displayed conveniently and quickly in a multi-dimensional and multi-level mode, and management of station staff is facilitated.
The scheme has the advantages that: the outdoor sensor signal data are transmitted to the server in a wireless mode, data mining and deep learning can be carried out on a large amount of data, unknown equipment faults and risks can be found, and the state of the equipment or the section can be displayed in an early warning mode. The system is simple to deploy, does not affect the operation and maintenance of the existing equipment, can be used for centralized processing through the server, is convenient and quick to display data, and is simple to query historical data.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An axle counting monitoring method, comprising:
acquiring monitoring data of an outdoor sensor monitoring unit and transmitting the monitoring data to a cloud server;
and the cloud server processes the monitoring data to obtain a processing result.
2. The axle counting monitoring method according to claim 1, wherein the monitoring data comprises: sensor signals, shaft number, zone state, working mode and alarm information.
3. The axle counting monitoring method according to claim 1, wherein the cloud server processes the monitoring data, and comprises:
and the cloud server performs data mining and/or deep learning according to the monitoring data.
4. The axle counting monitoring method according to claim 1, wherein the processing result comprises:
zone status, operating mode, number of axes, sensor signal waveform, alarm and/or pre-alarm.
5. The axle counting monitoring method according to claim 1, further comprising, after said obtaining the processing result:
and acquiring the monitoring data from the cloud server according to the station as a unit to draw a station map.
6. The axle counting monitoring method according to claim 1, further comprising, after said obtaining the processing result:
and acquiring the monitoring data and/or the processing result from the cloud server.
7. The axle counting monitoring method according to claim 6, further comprising, after the obtaining the monitoring data and/or the processing result from the cloud server:
and displaying the monitoring data and/or the processing result.
8. The axle counting monitoring method according to claim 1, further comprising, after said obtaining the processing result:
and storing the monitoring data and/or the processing result.
9. An axle counting monitoring system, comprising: a wireless gateway and a cloud server;
the wireless gateway is used for acquiring monitoring data of the outdoor sensor monitoring unit and transmitting the monitoring data to the cloud server;
the cloud server is used for processing the monitoring data to obtain a processing result.
10. The axle counting monitoring system of claim 9, further comprising: monitoring a client;
the monitoring client is used for acquiring the monitoring data and/or the processing result from the cloud server.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110603804.0A CN113581248A (en) | 2021-05-31 | 2021-05-31 | Axle counting monitoring method and system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110603804.0A CN113581248A (en) | 2021-05-31 | 2021-05-31 | Axle counting monitoring method and system |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103338261A (en) * | 2013-07-04 | 2013-10-02 | 北京泰乐德信息技术有限公司 | Storage and processing method and system of rail transit monitoring data |
| CN103661488A (en) * | 2013-12-18 | 2014-03-26 | 苏州瑞尔维电子科技有限公司 | System for monitoring rail axle information |
| CN108072806A (en) * | 2017-11-13 | 2018-05-25 | 北京全路通信信号研究设计院集团有限公司 | A kind of track circuit failure diagnostic system and diagnostic method |
| CN210327608U (en) * | 2019-08-05 | 2020-04-14 | 卡斯柯信号有限公司 | Operation and maintenance device for network-level communication signals of super-large urban rail transit line |
| CN112389500A (en) * | 2020-11-30 | 2021-02-23 | 中国铁道科学研究院集团有限公司 | Track axle counting device, system and data processing method |
-
2021
- 2021-05-31 CN CN202110603804.0A patent/CN113581248A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103338261A (en) * | 2013-07-04 | 2013-10-02 | 北京泰乐德信息技术有限公司 | Storage and processing method and system of rail transit monitoring data |
| CN103661488A (en) * | 2013-12-18 | 2014-03-26 | 苏州瑞尔维电子科技有限公司 | System for monitoring rail axle information |
| CN108072806A (en) * | 2017-11-13 | 2018-05-25 | 北京全路通信信号研究设计院集团有限公司 | A kind of track circuit failure diagnostic system and diagnostic method |
| CN210327608U (en) * | 2019-08-05 | 2020-04-14 | 卡斯柯信号有限公司 | Operation and maintenance device for network-level communication signals of super-large urban rail transit line |
| CN112389500A (en) * | 2020-11-30 | 2021-02-23 | 中国铁道科学研究院集团有限公司 | Track axle counting device, system and data processing method |
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Effective date of registration: 20211118 Address after: 100070 east side of 16th floor, block a, China communication building, yard 1, Automobile Museum South Road, Fengtai District, Beijing Applicant after: China Communications (Xi'an) Rail Transit Industry Group Co.,Ltd. Beijing Branch Address before: 102613 No.456, langlongsi village, Huangcun Town, Daxing District, Beijing Applicant before: Rail Transit Technology Research Institute of Tonghao (Beijing) Rail Industry Group Co.,Ltd. Applicant before: TONGHAO (BEIJING) RAILWAY INDUSTRIAL GROUP Co.,Ltd. |
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