CN104932485A - Railway track switch point machine fault prediction system and method - Google Patents
Railway track switch point machine fault prediction system and method Download PDFInfo
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- CN104932485A CN104932485A CN201510284311.XA CN201510284311A CN104932485A CN 104932485 A CN104932485 A CN 104932485A CN 201510284311 A CN201510284311 A CN 201510284311A CN 104932485 A CN104932485 A CN 104932485A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
- G05B23/0229—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions knowledge based, e.g. expert systems; genetic algorithms
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Abstract
The invention discloses a railway track switch point machine fault prediction system and method. The system comprises an information acquisition device, a fault prediction processing device, a storage device, an alarm display module and a power supply module. The information acquisition device is used for realizing synchronous and real-time acquisition of point machine operation state parameters. The fault prediction processing device is used for receiving the data from the information acquisition device and performing operation analysis. The storage device is used for storing historical operation and fault test data, fault prediction processing data and alarm information records of a railway track switch point machine. The alarm display module is used for receiving information from the fault prediction processing device and displaying alarm. The power supply module is used for providing power supply to the system According to the railway track switch point machine fault prediction system and method, the operation state of the railway track switch point machine equipment can be monitored in real time, operation reliability of the railway track switch point machine equipment can be enhanced and possible harm and loss can be avoided.
Description
Technical field
The invention belongs to railway failure prediction technical field, relate to a kind of failure prediction system, particularly relate to a kind of railway switch machine failure prediction system, meanwhile, the invention still further relates to a kind of railway switch machine failure prediction method.
Background technology
Railway switch machine, after fault occurs, just provides failure warning information, may cause heavy economic losses, and may jeopardize safe railway operation and personal safety, bring serious problems.
In view of this, nowadays in the urgent need to designing a kind of railway switch machine failure prediction mode, to overcome the defect of the unpredictable fault of existing railway switch machine.
Summary of the invention
Technical matters to be solved by this invention is: provide a kind of railway switch machine failure prediction system, can to railway switch machine equipment running status Real-Time Monitoring, and the following possible fault of equipment is predicted, analyzes and judged, determine nature of trouble, degree, position and reason, provide fault progression prediction.Contribute to Maintenance and Repair personnel and eliminate fault in advance, improve railway switch machine equipment operational reliability, avoid possible harm and loss.
For solving the problems of the technologies described above, the present invention adopts following technical scheme:
A kind of railway switch machine failure prediction system, described system comprises:
Information collecting device, for realizing the synchronous Real-time Collection of goat running state parameter; Described information collecting device comprises: sensor, conditioning change-over circuit; Sensor is in order to gather railway switch machine working current, voltage, conversion moment, indication rod breach, running environment data; Detection signal amplifies through conditioning change-over circuit, filtering, is converted to the pulse signal of standard, and carries out A/D conversion process, and transfer to failure prediction treating apparatus through telecommunication cable;
Failure prediction treating apparatus, for receiving the data coming from information collecting device, carries out operational analysis; Described failure prediction treating apparatus adopts genetic algorithm evolution modelling to be converted into gene, the Fault characteristic parameters expression formula be optimized by from the signal characteristic parameter in information collecting device; Evolution iteration, traversal fault signature, search fault distinguishing best features parameter combinations mode, finds the fault trend that coupling possibility is maximum, draws diagnostic result;
Memory storage, for storing railway switch machine history run and Test to Failure data, failure prediction process data, warning message record;
Alarm display module, for receiving the information display alarm that come from failure prediction treating apparatus;
Power module, for providing power supply for system.
A kind of railway switch machine failure prediction system, described system comprises:
Information collecting device, for realizing the synchronous Real-time Collection of goat running state parameter;
Failure prediction treating apparatus, for receiving the data coming from information collecting device, carries out operational analysis.
As a preferred embodiment of the present invention, described system also comprises:
Memory storage, for storing railway switch machine history run and Test to Failure data, failure prediction process data, warning message record;
Alarm display module, for receiving the information display alarm that come from failure prediction treating apparatus;
Power module, for providing power supply for system.
As a preferred embodiment of the present invention, described information collecting device comprises:
Sensor, in order to gather railway switch machine working current, voltage, conversion moment, indication rod breach, running environment data;
Conditioning change-over circuit, detection signal amplifies through conditioning change-over circuit, filtering, is converted to the pulse signal of standard, and carries out A/D conversion process, and transfer to failure prediction treating apparatus through telecommunication cable.
As a preferred embodiment of the present invention, described failure prediction treating apparatus adopts genetic algorithm evolution modelling to be converted into gene, the Fault characteristic parameters expression formula be optimized by from the signal characteristic parameter in information collecting device; Evolution iteration, traversal fault signature, search fault distinguishing best features parameter combinations mode, finds the fault trend that coupling possibility is maximum, draws diagnostic result.
A kind of railway switch machine failure prediction method, described method comprises:
Information collecting device is to the synchronous Real-time Collection of goat running state parameter; Described information collecting device comprises: sensor, conditioning change-over circuit; Sensor gathers railway switch machine working current, voltage, conversion moment, indication rod breach, running environment data; Detection signal amplifies through conditioning change-over circuit, filtering, is converted to the pulse signal of standard, and carries out A/D conversion process, and transfer to failure prediction treating apparatus through telecommunication cable;
Failure prediction treating apparatus receives the data coming from information collecting device, carries out operational analysis; Described failure prediction treating apparatus adopts genetic algorithm evolution modelling to be converted into gene, the Fault characteristic parameters expression formula be optimized by from the signal characteristic parameter in information collecting device; Evolution iteration, traversal fault signature, search fault distinguishing best features parameter combinations mode, finds the fault trend that coupling possibility is maximum, draws diagnostic result;
Memory storage is utilized to store railway switch machine history run and Test to Failure data, failure prediction process data, warning message record;
Alarm display module receives the information display alarm that come from failure prediction treating apparatus.
A kind of railway switch machine failure prediction method, described method comprises:
Information collecting device is to the synchronous Real-time Collection of goat running state parameter;
Failure prediction treating apparatus receives the data coming from information collecting device, carries out operational analysis.
As a preferred embodiment of the present invention, described method also comprises: utilize memory storage to store railway switch machine history run and Test to Failure data, failure prediction process data, warning message record;
Alarm display module receives the information display alarm that come from failure prediction treating apparatus.
As a preferred embodiment of the present invention, described information collecting device comprises:
Sensor, in order to gather railway switch machine working current, voltage, conversion moment, indication rod breach, running environment data;
Conditioning change-over circuit, detection signal amplifies through conditioning change-over circuit, filtering, is converted to the pulse signal of standard, and carries out A/D conversion process, and transfer to failure prediction treating apparatus through telecommunication cable.
As a preferred embodiment of the present invention, described failure prediction treating apparatus adopts genetic algorithm evolution modelling to be converted into gene, the Fault characteristic parameters expression formula be optimized by from the signal characteristic parameter in information collecting device; Evolution iteration, traversal fault signature, search fault distinguishing best features parameter combinations mode, finds the fault trend that coupling possibility is maximum, draws diagnostic result.
Beneficial effect of the present invention is: the railway switch machine failure prediction system that the present invention proposes and method, can to railway switch machine equipment running status Real-Time Monitoring, and the following possible fault of equipment is predicted, analyzes and judged, determine nature of trouble, degree, position and reason, provide fault progression prediction.Contribute to Maintenance and Repair personnel and eliminate fault in advance, improve railway switch machine equipment operational reliability, avoid possible harm and loss.
Accompanying drawing explanation
Fig. 1 is the composition schematic diagram of railway switch machine failure prediction system of the present invention.
Embodiment
The preferred embodiments of the present invention are described in detail below in conjunction with accompanying drawing.
Embodiment one
Refer to Fig. 1, present invention is disclosed a kind of railway switch machine failure prediction system, described system comprises: information collecting device 1, failure prediction treating apparatus 2, memory storage 3, alarm display module 4, power module.
Information collecting device 1 is for realizing the synchronous Real-time Collection of goat running state parameter; Described information collecting device comprises: sensor 12, conditioning change-over circuit 11; Sensor 12 is in order to gather railway switch machine working current, voltage, conversion moment, indication rod breach, running environment data; Detection signal amplifies through conditioning change-over circuit 11, filtering, is converted to the pulse signal of standard, and carries out A/D conversion process, and transfer to failure prediction treating apparatus through telecommunication cable.
Failure prediction treating apparatus 2 comes from the data of information collecting device for receiving, carry out operational analysis; Described failure prediction treating apparatus adopts genetic algorithm evolution modelling to be converted into gene, the Fault characteristic parameters expression formula be optimized by from the signal characteristic parameter in information collecting device; Evolution iteration, traversal fault signature, search fault distinguishing best features parameter combinations mode, finds the fault trend that coupling possibility is maximum, draws diagnostic result.
Memory storage 3 is for storing railway switch machine history run and Test to Failure data, failure prediction process data, warning message record.
Alarm display module 4 is for receiving the information display alarm that come from failure prediction treating apparatus;
Power module is used for providing power supply for system.
The present invention also discloses a kind of railway switch machine failure prediction method, and described method comprises:
Information collecting device is to the synchronous Real-time Collection of goat running state parameter; Described information collecting device comprises: sensor, conditioning change-over circuit; Sensor gathers railway switch machine working current, voltage, conversion moment, indication rod breach, running environment data; Detection signal amplifies through conditioning change-over circuit, filtering, is converted to the pulse signal of standard, and carries out A/D conversion process, and transfer to failure prediction treating apparatus through telecommunication cable;
Failure prediction treating apparatus receives the data coming from information collecting device, carries out operational analysis; Described failure prediction treating apparatus adopts genetic algorithm evolution modelling to be converted into gene, the Fault characteristic parameters expression formula be optimized by from the signal characteristic parameter in information collecting device; Evolution iteration, traversal fault signature, search fault distinguishing best features parameter combinations mode, finds the fault trend that coupling possibility is maximum, draws diagnostic result;
Memory storage is utilized to store railway switch machine history run and Test to Failure data, failure prediction process data, warning message record;
Alarm display module receives the information display alarm that come from failure prediction treating apparatus.
Embodiment two
A kind of railway switch machine failure prediction system, described system comprises: information collecting device, failure prediction treating apparatus.
Information collecting device is used for realizing the synchronous Real-time Collection of goat running state parameter; Failure prediction treating apparatus comes from the data of information collecting device for receiving, carry out operational analysis.
In the present embodiment, described information collecting device comprises: sensor, conditioning change-over circuit.Sensor is in order to gather railway switch machine working current, voltage, conversion moment, indication rod breach, running environment data.Detection signal amplifies through conditioning change-over circuit, filtering, is converted to the pulse signal of standard, and carries out A/D conversion process, and transfer to failure prediction treating apparatus through telecommunication cable.
Described failure prediction treating apparatus adopts genetic algorithm evolution modelling to be converted into gene, the Fault characteristic parameters expression formula be optimized by from the signal characteristic parameter in information collecting device; Evolution iteration, traversal fault signature, search fault distinguishing best features parameter combinations mode, finds the fault trend that coupling possibility is maximum, draws diagnostic result.
A kind of railway switch machine failure prediction method, described method comprises:
Information collecting device is to the synchronous Real-time Collection of goat running state parameter.Sensor gathers railway switch machine working current, voltage, conversion moment, indication rod breach, running environment data; Detection signal amplifies through conditioning change-over circuit, filtering, is converted to the pulse signal of standard, and carries out A/D conversion process, and transfer to failure prediction treating apparatus through telecommunication cable.
Failure prediction treating apparatus receives the data coming from information collecting device, carries out operational analysis.Described failure prediction treating apparatus adopts genetic algorithm evolution modelling to be converted into gene, the Fault characteristic parameters expression formula be optimized by from the signal characteristic parameter in information collecting device; Evolution iteration, traversal fault signature, search fault distinguishing best features parameter combinations mode, finds the fault trend that coupling possibility is maximum, draws diagnostic result.
In sum, the railway switch machine failure prediction system that the present invention proposes and method, can to railway switch machine equipment running status Real-Time Monitoring, and the following possible fault of equipment is predicted, analyzes and judged, determine nature of trouble, degree, position and reason, provide fault progression prediction.Contribute to Maintenance and Repair personnel and eliminate fault in advance, improve railway switch machine equipment operational reliability, avoid possible harm and loss.
Here description of the invention and application is illustrative, not wants by scope restriction of the present invention in the above-described embodiments.Distortion and the change of embodiment disclosed are here possible, are known for the replacement of embodiment those those of ordinary skill in the art and the various parts of equivalence.Those skilled in the art are noted that when not departing from spirit of the present invention or essential characteristic, the present invention can in other forms, structure, layout, ratio, and to realize with other assembly, material and parts.When not departing from the scope of the invention and spirit, can other distortion be carried out here to disclosed embodiment and change.
Claims (10)
1. a railway switch machine failure prediction system, is characterized in that, described system comprises:
Information collecting device, for realizing the synchronous Real-time Collection of goat running state parameter; Described information collecting device comprises: sensor, conditioning change-over circuit; Sensor is in order to gather railway switch machine working current, voltage, conversion moment, indication rod breach, running environment data; Detection signal amplifies through conditioning change-over circuit, filtering, is converted to the pulse signal of standard, and carries out A/D conversion process, and transfer to failure prediction treating apparatus through telecommunication cable;
Failure prediction treating apparatus, for receiving the data coming from information collecting device, carries out operational analysis; Described failure prediction treating apparatus adopts genetic algorithm evolution modelling to be converted into gene, the Fault characteristic parameters expression formula be optimized by from the signal characteristic parameter in information collecting device; Evolution iteration, traversal fault signature, search fault distinguishing best features parameter combinations mode, finds the fault trend that coupling possibility is maximum, draws diagnostic result;
Memory storage, for storing railway switch machine history run and Test to Failure data, failure prediction process data, warning message record;
Alarm display module, for receiving the information display alarm that come from failure prediction treating apparatus;
Power module, for providing power supply for system.
2. a railway switch machine failure prediction system, is characterized in that, described system comprises:
Information collecting device, for realizing the synchronous Real-time Collection of goat running state parameter;
Failure prediction treating apparatus, for receiving the data coming from information collecting device, carries out operational analysis.
3. railway switch machine failure prediction system according to claim 2, is characterized in that:
Described system also comprises:
Memory storage, for storing railway switch machine history run and Test to Failure data, failure prediction process data, warning message record;
Alarm display module, for receiving the information display alarm that come from failure prediction treating apparatus;
Power module, for providing power supply for system.
4. railway switch machine failure prediction system according to claim 2, is characterized in that:
Described information collecting device comprises:
Sensor, in order to gather railway switch machine working current, voltage, conversion moment, indication rod breach, running environment data;
Conditioning change-over circuit, detection signal amplifies through conditioning change-over circuit, filtering, is converted to the pulse signal of standard, and carries out A/D conversion process, and transfer to failure prediction treating apparatus through telecommunication cable.
5. railway switch machine failure prediction system according to claim 2, is characterized in that:
Described failure prediction treating apparatus adopts genetic algorithm evolution modelling to be converted into gene, the Fault characteristic parameters expression formula be optimized by from the signal characteristic parameter in information collecting device; Evolution iteration, traversal fault signature, search fault distinguishing best features parameter combinations mode, finds the fault trend that coupling possibility is maximum, draws diagnostic result.
6. a railway switch machine failure prediction method, is characterized in that, described method comprises:
Information collecting device is to the synchronous Real-time Collection of goat running state parameter; Described information collecting device comprises: sensor, conditioning change-over circuit; Sensor gathers railway switch machine working current, voltage, conversion moment, indication rod breach, running environment data; Detection signal amplifies through conditioning change-over circuit, filtering, is converted to the pulse signal of standard, and carries out A/D conversion process, and transfer to failure prediction treating apparatus through telecommunication cable;
Failure prediction treating apparatus receives the data coming from information collecting device, carries out operational analysis; Described failure prediction treating apparatus adopts genetic algorithm evolution modelling to be converted into gene, the Fault characteristic parameters expression formula be optimized by from the signal characteristic parameter in information collecting device; Evolution iteration, traversal fault signature, search fault distinguishing best features parameter combinations mode, finds the fault trend that coupling possibility is maximum, draws diagnostic result;
Memory storage is utilized to store railway switch machine history run and Test to Failure data, failure prediction process data, warning message record;
Alarm display module receives the information display alarm that come from failure prediction treating apparatus.
7. a railway switch machine failure prediction method, is characterized in that, described method comprises:
Information collecting device is to the synchronous Real-time Collection of goat running state parameter;
Failure prediction treating apparatus receives the data coming from information collecting device, carries out operational analysis.
8. railway switch machine failure prediction method according to claim 7, is characterized in that:
Described method also comprises: utilize memory storage to store railway switch machine history run and Test to Failure data, failure prediction process data, warning message record;
Alarm display module receives the information display alarm that come from failure prediction treating apparatus.
9. railway switch machine failure prediction method according to claim 7, is characterized in that:
Described information collecting device comprises:
Sensor, in order to gather railway switch machine working current, voltage, conversion moment, indication rod breach, running environment data;
Conditioning change-over circuit, detection signal amplifies through conditioning change-over circuit, filtering, is converted to the pulse signal of standard, and carries out A/D conversion process, and transfer to failure prediction treating apparatus through telecommunication cable.
10. railway switch machine failure prediction method according to claim 7, is characterized in that:
Described failure prediction treating apparatus adopts genetic algorithm evolution modelling to be converted into gene, the Fault characteristic parameters expression formula be optimized by from the signal characteristic parameter in information collecting device; Evolution iteration, traversal fault signature, search fault distinguishing best features parameter combinations mode, finds the fault trend that coupling possibility is maximum, draws diagnostic result.
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| CN106017954A (en) * | 2016-05-13 | 2016-10-12 | 南京雅信科技集团有限公司 | Turnout point machine fault early warning system and method based on audio analysis |
| CN107054410A (en) * | 2017-04-01 | 2017-08-18 | 广州地铁集团有限公司 | The intelligent diagnosis system and diagnostic method of point machine |
| CN107832867A (en) * | 2017-10-10 | 2018-03-23 | 北京交通大学 | A kind of railway equipment based on failure predication technology is health management system arranged |
| CN108909771A (en) * | 2017-10-16 | 2018-11-30 | 北京和安易诚通讯技术有限公司 | Railway switch machine stroke detection records system |
| WO2019011039A1 (en) * | 2017-07-10 | 2019-01-17 | 比亚迪股份有限公司 | Turnout information processing method and apparatus |
| CN109501834A (en) * | 2018-11-28 | 2019-03-22 | 交控科技股份有限公司 | A kind of point machine failure prediction method and device |
| CN109557856A (en) * | 2018-12-08 | 2019-04-02 | 深圳科安达电子科技股份有限公司 | A kind of acclerating road switch operation data visual presentation system |
| CN110341754A (en) * | 2019-07-29 | 2019-10-18 | 郑州铁路职业技术学院 | A kind of point machine indication rod fault monitoring system |
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| CN111267905A (en) * | 2020-01-20 | 2020-06-12 | 北京国兴力德新材料技术有限公司 | Information acquisition and processing device of switch sleeper type point machine |
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| CN112061174A (en) * | 2020-07-28 | 2020-12-11 | 南京铁道职业技术学院 | Intelligent monitoring device and method for turnout conversion resistance |
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| CN113155504A (en) * | 2021-04-30 | 2021-07-23 | 苏州通汇轨道交通技术有限公司 | Intelligent testing system for point switch for rail transit |
| CN113534013A (en) * | 2021-07-27 | 2021-10-22 | 北京全路通信信号研究设计院集团有限公司 | Method and device for predicting switch machine wiring fault and storage medium |
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| CN106017954A (en) * | 2016-05-13 | 2016-10-12 | 南京雅信科技集团有限公司 | Turnout point machine fault early warning system and method based on audio analysis |
| CN107054410B (en) * | 2017-04-01 | 2019-06-11 | 广州地铁集团有限公司 | The intelligent diagnosis system and diagnostic method of point machine |
| CN107054410A (en) * | 2017-04-01 | 2017-08-18 | 广州地铁集团有限公司 | The intelligent diagnosis system and diagnostic method of point machine |
| WO2019011039A1 (en) * | 2017-07-10 | 2019-01-17 | 比亚迪股份有限公司 | Turnout information processing method and apparatus |
| CN107832867A (en) * | 2017-10-10 | 2018-03-23 | 北京交通大学 | A kind of railway equipment based on failure predication technology is health management system arranged |
| CN108909771A (en) * | 2017-10-16 | 2018-11-30 | 北京和安易诚通讯技术有限公司 | Railway switch machine stroke detection records system |
| CN109501834A (en) * | 2018-11-28 | 2019-03-22 | 交控科技股份有限公司 | A kind of point machine failure prediction method and device |
| CN109557856A (en) * | 2018-12-08 | 2019-04-02 | 深圳科安达电子科技股份有限公司 | A kind of acclerating road switch operation data visual presentation system |
| CN111665815A (en) * | 2019-03-06 | 2020-09-15 | 比亚迪汽车工业有限公司 | Turnout fault prediction method and device |
| CN111665815B (en) * | 2019-03-06 | 2021-12-07 | 比亚迪汽车工业有限公司 | Turnout fault prediction method and device |
| CN110341754A (en) * | 2019-07-29 | 2019-10-18 | 郑州铁路职业技术学院 | A kind of point machine indication rod fault monitoring system |
| CN110850215A (en) * | 2019-11-27 | 2020-02-28 | 交控科技股份有限公司 | Point switch fault type diagnosis system and method |
| CN110850215B (en) * | 2019-11-27 | 2021-11-12 | 交控科技股份有限公司 | Point switch fault type diagnosis system and method |
| CN111267905A (en) * | 2020-01-20 | 2020-06-12 | 北京国兴力德新材料技术有限公司 | Information acquisition and processing device of switch sleeper type point machine |
| CN112061174A (en) * | 2020-07-28 | 2020-12-11 | 南京铁道职业技术学院 | Intelligent monitoring device and method for turnout conversion resistance |
| CN113804421A (en) * | 2020-10-19 | 2021-12-17 | 广东毓秀科技有限公司 | Railway turnout switch machine fault prediction system and method |
| CN112477917A (en) * | 2020-11-10 | 2021-03-12 | 交控科技股份有限公司 | Turnout fault detection method and device, electronic equipment and storage medium |
| CN113155504A (en) * | 2021-04-30 | 2021-07-23 | 苏州通汇轨道交通技术有限公司 | Intelligent testing system for point switch for rail transit |
| CN113643517A (en) * | 2021-07-22 | 2021-11-12 | 宁波思高信通科技有限公司 | Intelligent early warning system about goat |
| CN113534013A (en) * | 2021-07-27 | 2021-10-22 | 北京全路通信信号研究设计院集团有限公司 | Method and device for predicting switch machine wiring fault and storage medium |
| CN113534013B (en) * | 2021-07-27 | 2024-02-27 | 北京全路通信信号研究设计院集团有限公司 | Method, device and storage medium for predicting switch machine wiring faults |
| CN116750045A (en) * | 2023-06-06 | 2023-09-15 | 宁波思高信通科技有限公司 | Switch machine operation and maintenance early warning method, system, device and storage medium |
| CN116750045B (en) * | 2023-06-06 | 2024-03-12 | 宁波思高信通科技有限公司 | Switch machine operation and maintenance early warning method, system, device and storage medium |
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Application publication date: 20150923 |