CN113155504A - Intelligent testing system for point switch for rail transit - Google Patents
Intelligent testing system for point switch for rail transit Download PDFInfo
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- CN113155504A CN113155504A CN202110484595.2A CN202110484595A CN113155504A CN 113155504 A CN113155504 A CN 113155504A CN 202110484595 A CN202110484595 A CN 202110484595A CN 113155504 A CN113155504 A CN 113155504A
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- 238000012360 testing method Methods 0.000 title claims abstract description 19
- 238000012545 processing Methods 0.000 claims abstract description 23
- 238000004891 communication Methods 0.000 claims abstract description 18
- 238000013480 data collection Methods 0.000 claims abstract description 14
- 230000003750 conditioning effect Effects 0.000 claims abstract description 8
- 238000001514 detection method Methods 0.000 claims abstract description 7
- 238000006243 chemical reaction Methods 0.000 claims abstract description 6
- 230000002068 genetic effect Effects 0.000 claims description 6
- 241000283707 Capra Species 0.000 claims description 5
- 239000013307 optical fiber Substances 0.000 claims description 5
- 238000003745 diagnosis Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 230000030279 gene silencing Effects 0.000 claims description 3
- 230000001360 synchronised effect Effects 0.000 abstract 1
- 238000000034 method Methods 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000013210 evaluation model Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
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Abstract
The invention discloses a switch machine intelligent test system for rail transit, which comprises a data collection module, wherein the data collection module comprises a sensor module, a conditioning conversion circuit and a control module, the data collection module realizes synchronous real-time collection of operating state parameters of a switch machine, the sensor is used for collecting switching torque, working current, voltage, operating environment data and a display rod gap of the switch machine, a detection signal is amplified and filtered by the conditioning conversion circuit, converted into a standard pulse signal and subjected to A/D conversion processing and transmitted to a fault prediction processing module through a communication cable, and the control module comprises a control center, a power supply module, a communication exchange module and a switch control module. The intelligent test system for the switch machine for the track traffic can monitor the running state of the switch machine equipment of the track traffic in real time, improve the running reliability of the switch machine equipment of the track traffic and avoid possible damage and loss.
Description
Technical Field
The invention relates to the field of rail fault prediction, in particular to an intelligent testing system of a point switch for rail transit.
Background
The switch machine controls the advancing direction of the train, and as an actuating mechanism of a turnout control system, the stability and the safety of the switch machine are very critical for the daily operation management of high-speed railways and subways. When equipment breaks down, the method has great significance in quickly diagnosing the type of the fault and maintaining the equipment.
Although the rail switch machine realizes electrification, the method is far from intellectualization. Due to the technical limitations of sensors for data acquisition, data transmission means, analysis and evaluation models and the like, no effective monitoring means (such as whether power failure occurs or not, whether track bifurcation succeeds or not, whether failure occurs or not and the like) exists for the working state of the switch machine (such as whether icing occurs frequently in the switch machine in cold northeast and west regions at present, and the existing method depends on that railway workers check ice blocks one by one and manually check the ice blocks, so that a large amount of manpower, material resources and financial resources are consumed.
Therefore, an intelligent testing system for a switch machine for rail transit is needed to be provided so as to solve the problem that the existing abnormal situation cannot be intelligently monitored.
Disclosure of Invention
The invention aims to solve the problem that the existing abnormal condition cannot be intelligently monitored, and provides an intelligent test system for a switch machine for track traffic.
In order to achieve the purpose, the invention adopts the following technical scheme: the utility model provides a goat intelligence test system for track traffic, its includes that data collection module, trouble predetermine processing module, storage module and warning display module, the data collection module is used for gathering goat operating condition parameter in step in real time, the data collection module includes sensor, control module and conditioning conversion circuit, control module includes control center, power module, communication exchange module and switch control module, the communication exchange module be used for realizing control module with communication between the switch control module, power module is used for switch control module provides the electric energy, switch control module and a switch goat electrical connection are used for according to control center's control command, control the goat action.
The sensor is used for collecting the switching torque, the working current, the voltage, the operating environment data and the indication rod gap of the track switch machine, and the conditioning switching circuit is used for amplifying and filtering the detection signal, converting the detection signal into a standard pulse signal and transmitting the standard pulse signal to the fault prediction processing module through the communication cable.
The switch control module comprises a first switch control unit and a second switch control unit, the first switch control unit and the second switch control unit form a hot standby redundant structure, the first switch control unit and the second switch control unit respectively comprise two intelligent processing units, and each intelligent processing unit is connected with the communication switching module through an optical fiber interface.
The fault presetting processing module is used for receiving data from the data collecting module and carrying out operation analysis, the fault presetting processing module adopts a genetic algorithm evolution mode to convert signal characteristic parameters from the data collecting module into genetic factors to obtain an optimized fault characteristic parameter expression, evolves and iterates, traverses fault characteristics, searches for a fault judgment optimal characteristic parameter combination mode, searches for a fault trend with the maximum matching possibility and obtains a diagnosis result.
The storage module is used for storing historical operation and fault test data, fault prediction processing data and alarm information records of the track switch machine.
The alarm display module comprises a microprocessor and an alarm display panel, wherein a buzzer, a silencing key and an indicator light are arranged on the alarm display panel, the microprocessor adopts an embedded controller, is a core unit of the whole module, and completes the functions of the whole module according to a program.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that: the method can monitor the running state of the track traffic turnout switch machine equipment in real time, predict, analyze and judge possible future faults of the equipment, determine the nature, degree, position and reason of the faults, give out fault development prediction, help maintenance and overhaul personnel to eliminate the faults in advance, improve the running reliability of the track traffic turnout switch machine equipment and avoid possible damage and loss.
Drawings
FIG. 1 is a schematic view of the connection structure of an information collection module according to the present invention;
FIG. 2 is a schematic diagram of a connection structure of a control module according to the present invention;
FIG. 3 is a schematic diagram of an information collection module according to the present invention.
Detailed Description
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.
Referring to fig. 1 to 3, the present invention is a switch machine intelligent test system for track traffic, including a data collection module 10, a fault presetting processing module 20, a storage module 30 and an alarm display module 40.
Referring to fig. 1 and 3, a data collection module 10 is used for synchronously collecting the operating state parameters of the switch machine in real time, and the data collection module 10 comprises a sensor 11, a control module 12 and a conditioning conversion circuit 13.
The sensor 7 is used for collecting the switching torque, the working current, the voltage, the operating environment data and the indication rod gap of the track switch machine, and the conditioning switching circuit 13 is used for amplifying and filtering the detection signal, converting the detection signal into a standard pulse signal and transmitting the standard pulse signal to the fault prediction processing module 20 through a communication cable.
Referring to fig. 2, the control module 12 includes a control center 121, a power module 122, a communication switching module 123, and a switch control module 124, where the communication switching module 123 is used to implement communication between the control module 12 and the switch control module 124; the power module 122 is used for providing power for the turnout control module 124; the switch control module 124 is electrically connected to the switch machine 50, and is configured to control the switch machine 50 according to a control command from the control center 121.
In this embodiment, the communication switching module 123 includes a first fiber switching unit and a second fiber switching unit; the turnout control module 124 comprises a first turnout control unit and a second turnout control unit, the first turnout control unit and the second turnout control unit form a hot standby redundant structure, and the first turnout control unit and the second turnout control unit both comprise two intelligent processing units; each intelligent processing unit is connected with the communication switching module 123 through an optical fiber interface, the optical fiber interface is an optical fiber channel FC type interface, and the switch machine 50 is an alternating current switch machine or a direct current switch machine.
The fault presetting processing module 20 is configured to receive data from the data collection module 10, perform operation analysis, and the fault presetting processing module 20 converts the signal characteristic parameters from the data collection module 10 into genetic factors by using a genetic algorithm evolution mode to obtain an optimized fault characteristic parameter expression, perform evolution iteration, traverse fault characteristics, search for a fault judgment optimal characteristic parameter combination mode, and find a fault trend with the maximum matching possibility to obtain a diagnosis result.
The storage module 30 is used for storing historical operation and fault test data, fault prediction processing data and alarm information records of the track switch machine 50.
The alarm display module 40 comprises a microprocessor and an alarm display panel, wherein a buzzer, a silencing key and an indicator light are arranged on the alarm display panel, the microprocessor adopts an embedded controller, is a core unit of the whole module, and completes the functions of the whole module according to a program.
The intelligent testing system for the track traffic point switch machine can monitor the running state of the track traffic point switch machine in real time, predict, analyze and judge possible future faults of the equipment, determine the nature, degree, position and reason of the faults, give out fault development prediction, help maintenance and overhaul personnel to eliminate the faults in advance, improve the running reliability of the track traffic point switch machine equipment and avoid possible damage and loss.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. The utility model provides a goat intelligence test system for track traffic which characterized in that: the turnout control system comprises a data collection module, a fault presetting processing module, a storage module and an alarm display module, wherein the data collection module is used for synchronously collecting the operating state parameters of the turnout switch in real time, the data collection module comprises a sensor, a control module and a conditioning conversion circuit, the control module comprises a control center, a power module, a communication exchange module and a turnout control module, the communication exchange module is used for realizing communication between the control module and the turnout control module, the power module is used for providing electric energy for the turnout control module, and the turnout control module is electrically connected with a turnout switch and used for controlling the action of the turnout switch according to a control command of the control center.
2. Switch machine intelligence test system for rail traffic according to claim 1, characterized in that: the sensor is used for collecting the switching torque, the working current, the voltage, the operating environment data and the indication rod gap of the track switch machine, and the conditioning switching circuit is used for amplifying and filtering the detection signal, converting the detection signal into a standard pulse signal and transmitting the standard pulse signal to the fault prediction processing module through the communication cable.
3. Switch machine intelligence test system for rail traffic according to claim 2, characterized in that: the switch control module comprises a first switch control unit and a second switch control unit, the first switch control unit and the second switch control unit form a hot standby redundant structure, the first switch control unit and the second switch control unit respectively comprise two intelligent processing units, and each intelligent processing unit is connected with the communication switching module through an optical fiber interface.
4. Switch machine intelligence test system for rail traffic according to claim 1, characterized in that: the fault presetting processing module is used for receiving data from the data collecting module and carrying out operation analysis, the fault presetting processing module adopts a genetic algorithm evolution mode to convert signal characteristic parameters from the data collecting module into genetic factors to obtain an optimized fault characteristic parameter expression, evolves and iterates, traverses fault characteristics, searches for a fault judgment optimal characteristic parameter combination mode, searches for a fault trend with the maximum matching possibility and obtains a diagnosis result.
5. Switch machine intelligence test system for rail traffic according to claim 1, characterized in that: the storage module is used for storing historical operation and fault test data, fault prediction processing data and alarm information records of the track switch machine.
6. Switch machine intelligence test system for rail traffic according to claim 1, characterized in that: the alarm display module comprises a microprocessor and an alarm display panel, wherein a buzzer, a silencing key and an indicator light are arranged on the alarm display panel, the microprocessor adopts an embedded controller, is a core unit of the whole module, and completes the functions of the whole module according to a program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110484595.2A CN113155504A (en) | 2021-04-30 | 2021-04-30 | Intelligent testing system for point switch for rail transit |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110484595.2A CN113155504A (en) | 2021-04-30 | 2021-04-30 | Intelligent testing system for point switch for rail transit |
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| CN113155504A true CN113155504A (en) | 2021-07-23 |
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| CN202110484595.2A Pending CN113155504A (en) | 2021-04-30 | 2021-04-30 | Intelligent testing system for point switch for rail transit |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113672859A (en) * | 2021-08-17 | 2021-11-19 | 郑州铁路职业技术学院 | Switch point machine fault acoustic diagnosis system |
| CN115249387A (en) * | 2021-12-16 | 2022-10-28 | 北京九州一轨环境科技股份有限公司 | Intelligent rail transit monitoring and management system |
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| CN104932485A (en) * | 2015-05-29 | 2015-09-23 | 中国铁路通信信号上海工程局集团有限公司 | Railway track switch point machine fault prediction system and method |
| CN106608267A (en) * | 2015-10-21 | 2017-05-03 | 湘潭智联技术转移促进有限责任公司 | Control system |
| CN111459138A (en) * | 2020-04-09 | 2020-07-28 | 朔黄铁路发展有限责任公司 | Turnout fault testing system |
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2021
- 2021-04-30 CN CN202110484595.2A patent/CN113155504A/en active Pending
Patent Citations (5)
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| US20120091288A1 (en) * | 2010-10-18 | 2012-04-19 | Rosetti Valerio | System for monitoring operating functions of railway devices |
| CN201876946U (en) * | 2010-12-20 | 2011-06-22 | 河南光彩电器有限公司 | Alarm display module |
| CN104932485A (en) * | 2015-05-29 | 2015-09-23 | 中国铁路通信信号上海工程局集团有限公司 | Railway track switch point machine fault prediction system and method |
| CN106608267A (en) * | 2015-10-21 | 2017-05-03 | 湘潭智联技术转移促进有限责任公司 | Control system |
| CN111459138A (en) * | 2020-04-09 | 2020-07-28 | 朔黄铁路发展有限责任公司 | Turnout fault testing system |
Non-Patent Citations (1)
| Title |
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| 赵长财;李积英;程贵良;李玉霞;: "五线制交流转辙机测试分析仪的研究与设计", 兰州交通大学学报, no. 04, pages 85 - 88 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113672859A (en) * | 2021-08-17 | 2021-11-19 | 郑州铁路职业技术学院 | Switch point machine fault acoustic diagnosis system |
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| CN115249387A (en) * | 2021-12-16 | 2022-10-28 | 北京九州一轨环境科技股份有限公司 | Intelligent rail transit monitoring and management system |
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