CN103438924A - Electric locomotive pantograph net online detection system and detection method - Google Patents
Electric locomotive pantograph net online detection system and detection method Download PDFInfo
- Publication number
- CN103438924A CN103438924A CN2013103725925A CN201310372592A CN103438924A CN 103438924 A CN103438924 A CN 103438924A CN 2013103725925 A CN2013103725925 A CN 2013103725925A CN 201310372592 A CN201310372592 A CN 201310372592A CN 103438924 A CN103438924 A CN 103438924A
- Authority
- CN
- China
- Prior art keywords
- module
- acquisition module
- detection processor
- image detection
- video acquisition
- 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.)
- Granted
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 68
- 230000003137 locomotive effect Effects 0.000 title claims abstract description 41
- 238000012544 monitoring process Methods 0.000 claims abstract description 28
- 230000005540 biological transmission Effects 0.000 claims abstract description 24
- 230000002159 abnormal effect Effects 0.000 claims abstract description 23
- 238000012545 processing Methods 0.000 claims abstract description 20
- 230000001681 protective effect Effects 0.000 claims description 6
- 238000007689 inspection Methods 0.000 claims description 4
- 238000010998 test method Methods 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 abstract description 6
- 230000006855 networking Effects 0.000 abstract description 2
- 238000011897 real-time detection Methods 0.000 abstract 1
- 238000000034 method Methods 0.000 description 8
- 238000011161 development Methods 0.000 description 3
- 230000001133 acceleration Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000005299 abrasion Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 230000036461 convulsion Effects 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 238000010191 image analysis Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000007921 spray Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 210000001138 tear Anatomy 0.000 description 1
- 238000002604 ultrasonography Methods 0.000 description 1
Images
Abstract
The invention discloses an electric locomotive pantograph net online detection system which comprises a video collection module, a monitoring detection processing module and a power module. The video collection module is arranged at the top of an electric locomotive and collects image information of pantographs. The monitoring detection processing module is used for displaying and storing the image information and giving an alarm when an abnormal situation occurs. An electric locomotive pantograph net online detection method comprises the steps of enabling the video collection module to collect the image information of the pantographs, enabling an image detection processing machine to store and analyze the image information, if the abnormal situation occurs, enabling a GSM alarm signal sending module to give the alarm, and enabling the abnormal information to be transmitted to a server through a 3G wireless network module. By means of the technical scheme of the electric locomotive pantograph net online detection system, automatic and real-time detection on the states of the locomotive pantographs is achieved through the digital video monitoring technology and the digital image processing technology, remote monitoring on the pantographs is achieved through a wireless transmission system, and remote networking of various monitoring points can be achieved.
Description
Technical field
The present invention relates to the electric locomotive technical field, particularly a kind of bow net of electric locomotive on-line detecting system and detection method.
Background technology
Along with the high speed development of national economy, the electric locomotive that has possessed the advantages such as high-level efficiency, low pollution more and more is widely used and develops.Motorcycle pantograph is got the equipment of stream from contact net as electric locomotive, its course of work is born slip, friction, heat, electricity and the composite factor impact such as chemical, and various faults easily occur in operational process.The continuous generation of pantograph and catenary fault, have a strong impact on the transportation safety of electric railway, the development of restriction China railways cause, development locomotive pantograph net on-line detecting system, provide a kind of effective prevention pantograph and catenary fault, guarantee that electric railway safe operation tool is of great significance.
Existing non-video on-line detecting system method is various, is below several method commonly used:
Jerk acceleration transducer and left and right limit sensors are installed on block of bow collector of electric locomotive, the signal that sensor receives passes to the indoor warning device of locomotive, when impact acceleration is greater than the threshold value of a certain regulation, to report to the police and fall in time bow, Accident prevention further enlarges.
Catoptron is installed on bow, and the infrared ray of the infrared transmitter of installing on roof emission is received by infrared receiver by mirror reflects carriage return top, and becomes electric signal and send into cab.If bow deflection or vertical deviation or teeter exceed certain limit, when receiver does not receive signal, start to report to the police, whether the prompting steward notes observing pantograph and changes, can continue operation if do not change, once abnormal changes in time bow and travels.
Use ultrasound examination pantograph pan wear condition.By means of overhead ultrasonic sensor, when vehicle sails locomotive depot into, the pantograph pan wear measurement device just can be measured slide plate, thereby obtains its abrasion condition, and weares and teares replacing time of predictive system slide plate by application.
Above detection method can carry out dynamically in real time detecting to pantograph, but the content detected is more single, and also needing of having transformed pantograph.
Summary of the invention
The object of the present invention is to provide a kind of digital video monitoring technology and digital image processing techniques of adopting to realize the detection in real time automatically to the motorcycle pantograph state, can carry out remote monitoring to pantograph by wireless transmitting system and also can realize bow net of electric locomotive on-line detecting system and the detection method of the long-distance on-line of each control point.
To achieve these goals, technical scheme of the present invention is as follows:
A kind of bow net of electric locomotive on-line detecting system, comprise video acquisition module, monitor and detection processing module and provide the power module of power supply for described bow net of electric locomotive on-line detecting system, video acquisition module is arranged at the electric locomotive top, and video acquisition module gathers the image information of pantograph and the image information of this pantograph of video acquisition module being collected by the monitor and detection processing module is shown, stores and at the abnormal alarm.
Preferably; video acquisition module comprises infrared light supply, acquisition module protective cover, semifixed The Cloud Terrace and video camera; described infrared light supply and video camera are arranged on described semifixed The Cloud Terrace, and described acquisition module protective cover is arranged at described video acquisition module and infrared light supply outside in order to protect described video acquisition module.
Preferably, the monitor and detection processing module comprises network data transmission equipment, the image detection processor, module is checked in monitoring, GSM alerting signal sending module, 3G wireless network module and server, monitoring is checked that module is arranged in the pilothouse at vehicle two ends and is used the operation conditions for driver's real time inspection pantograph, network data transmission equipment respectively with video acquisition module, image detection processor and monitoring check that module connects, the image transmission that network data transmission equipment collects video acquisition module is checked module to image detection processor and monitoring, the image detection processor is connected to realize the transmission of data with server through the 3G wireless network module, above-mentioned image detection processor is connected to upload abnormal information with outer net through the 3G wireless network module, for the client, checked anywhere, monitoring checks that module is connected the image information that shows that described image detection processor is processed with the image detection processor, GSM alerting signal sending module is connected with the image detection processor, and the 3G wireless network module is arranged in the image detection processor, the image detection processor is controlled GSM alerting signal sending module transmission information and is reported to the police.
The present invention also provides a kind of bow net of electric locomotive online test method, comprises the following steps:
1) video acquisition module gathers the image information of pantograph and is transferred to the image detection processor by network data transmission equipment;
2) judge whether train moves, by image comparison, judge whether train moves, can not work on if train does not move video acquisition module, but the image detection processor can stop detecting;
3) image information of image detection processor pair video acquisition module collection is stored and image processing and analyzing data and predefined warning parameter after analyzing are contrasted, the image information of video acquisition module collection checks that through the image detection processor and by monitoring module is shown simultaneously, and the data after above-mentioned analysis comprise stagger and the arc time of calculating;
4) if step 3) data after analyzing exceed the warning parameter, by GSM alerting signal sending module, to the cell-phone number of appointment, send warning message, simultaneously, this abnormal information is transferred in server through the 3G wireless network module by the image detection processor, for operating personnel's access.
Alarm content comprises abnormal time and Exception Type.Such design can effectively guarantee that the locomotive network operator finds the potential safety hazard of locomotive operation in time, and makes corresponding processing.Preferably according to pantograph, the carrier difference is installed as a kind of, the factor such as surrounding environment is severe, we arrange presignal delay in image analysis system, thus false alarm reduction rate greatly.
By the image detection processor can be inquired about the alert data in monitor procedure, added up, printing, network Sharing Management; And can realize independent full real-time recording to the every road of the image information of its storage, retrieval is put upside down, video recording inquiry, download etc., and playback mode is various, can adopt slowly and put, put soon, put upside down and play frame by frame, and during the playback video recording, but the correct time that presented event occurs.
Video acquisition module has the infrared light filling function according to the Self-adaptive strength of external environment illumination; Windscreen wiper can be set in addition to realize in image blurring situation windscreen wiper water spray self-cleaning function, have ambient temperature when low from heating function, have ambient temperature when higher from air-cooling function.
The connection of video acquisition module and image detection processor adopts the high electric connector of water proof and dust proof grade, the convenient installation and maintenance.
As a kind of preferred, what network data transmission equipment adopted is wireless router, by this wireless router, sets up WIFI to realize the networking of each equipment.
It is following several that the operating personnel of locomotive operator check that the mode of pantograph running status has:
1, monitor and check that module checks by mistake in pilothouse;
2, by network, at far-end, check, the computer of any interconnection network, can real time inspection equipment operation situation by user name password authority, but needs the flow of 3G module in consumption systems;
3,, near system, as on the locomotive of installation system, after user name password authority, by network data transmission equipment, be that the WIFI that wireless routing is set up checks.
The operating personnel of locomotive operator copy the mode of video recording:
1, directly change intrasystem hard disk, because hard disk adopts, facilitate removable mounting means, therefore should operation is very easy quick;
2, the LAN (Local Area Network) built by WIFI copies near system.
The operating personnel of locomotive operator check the abnormal mode that locomotive occurs:
1, all abnormal pictures and abnormal information can upload to the net dish, as long as just can be checked easily by the authority of user name password, operating personnel also can be checked by mobile phone, flexible;
2, abnormal picture and abnormal information can, by the mode of SMS alarm and multimedia-message-alarming, send on designated person's mobile phone;
3, as long as operating personnel are enough certain authorities, the direct interior Shared Folders of access system main frame, and there are abnormal picture and abnormal information in the inside;
4, all abnormal pictures and abnormal information can deposit in the server of a far-end, and operating personnel can install a client in computer, and real-time update anomalies picture and abnormal information can realize the classified inquiry of long-time big data quantity well.
Adopt bow net of electric locomotive on-line detecting system of the present invention and detection method to have the following advantages:
1, by the Vehicular video monitoring treatment facility technology of vehicle-mounted high-definition intelligent image display platform of new generation, detect in real time, record the dynamic image of pantograph and offer the supervision personnel in order to identify fault, to pinpoint the problems, feed back in time electric locomotive driver and processed, guarantee power-supply unit and motorcycle pantograph security of operation;
2, adopt digital video monitoring technology and digital image processing techniques to realize automatically detecting in real time the motorcycle pantograph state, by wireless transmitting system, pantograph is carried out to remote monitoring and also can realize the long-distance on-line of each control point, for preventing pantograph and catenary fault, guaranteeing that the safe operation of electric railway provides a kind of new method.
The accompanying drawing explanation
Fig. 1 is the structural representation of bow net of electric locomotive on-line detecting system in the present invention.
Fig. 2 is bow net of electric locomotive online test method process flow diagram in the present invention.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in further detail.
As shown in Figure 1, be bow net of electric locomotive on-line detecting system of the present invention, wherein, 1 is video acquisition module, and 2 is the monitor and detection processing module, and 3 for providing the power module of power supply to the bow net of electric locomotive on-line detecting system.Video acquisition module 1 is arranged at the electric locomotive top, and video acquisition module 1 gathers the image information of pantograph and shown, stores and at the abnormal alarm by monitor and detection processing module 2.
Video acquisition module 1 comprises infrared light supply, acquisition module protective cover, semifixed The Cloud Terrace and video camera; infrared light supply and video camera are arranged on semifixed The Cloud Terrace, and the acquisition module protective cover is arranged at video acquisition module and infrared light supply outside in order to protect video acquisition module.
Monitor and detection processing module 2 comprises network data transmission equipment, the image detection processor, module is checked in monitoring, GSM alerting signal sending module, 3G wireless network module and server, monitoring is checked that module is arranged in the pilothouse at vehicle two ends and is used the operation conditions for driver's real time inspection pantograph, network data transmission equipment respectively with video acquisition module 1, image detection processor and monitoring check that module connects, the image transmission that network data transmission equipment collects video acquisition module 1 is checked module to image detection processor and monitoring, the image detection processor is connected to realize the transmission of data with server through the 3G wireless network module, above-mentioned image detection processor is connected to upload abnormal information through described 3G wireless network module with outer net, for the client, checked anywhere, monitoring checks that module is connected the image information that shows that the image detection processor is processed with the image detection processor, GSM alerting signal sending module is connected with the image detection processor, and the 3G wireless network module is arranged in the image detection processor, the image detection processor is controlled GSM alerting signal sending module transmission information and is reported to the police.
As shown in Figure 2, be bow net of electric locomotive online test method of the present invention, comprise the following steps:
1) video acquisition module 1 gathers the image information of pantograph and is transferred to the image detection processor by network data transmission equipment;
2) judge whether train moves, by image comparison, judge whether train moves, can not work on if train does not move video acquisition module 1, but the image detection processor can stop detecting;
3) image information that image detection processor pair video acquisition module 1 gathers is stored and image processing and analyzing is also contrasted data and predefined warning parameter after analyzing, the image information that video acquisition module 1 gathers simultaneously checks that through the image detection processor and by monitoring module is shown, the data after herein analyzing comprise stagger and the arc time of calculating;
4) if step 3) data after analyzing exceed the warning parameter, by GSM alerting signal sending module, to the cell-phone number of appointment, send warning message, simultaneously, this abnormal information is transferred in server through the 3G wireless network module by the image detection processor, for operating personnel's access.
The above is only the preferred embodiment of the present invention, it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention, can also make some improvement, and these improvement also should be considered as protection scope of the present invention.
Claims (4)
1. a bow net of electric locomotive on-line detecting system, it is characterized in that: comprise video acquisition module (1), monitor and detection processing module (2) and provide the power module (3) of power supply for described bow net of electric locomotive on-line detecting system, described video acquisition module (1) is arranged at the electric locomotive top, and described video acquisition module (1) gathers the image information of pantograph and shown, stores and at the abnormal alarm by described monitor and detection processing module (2).
2. bow net of electric locomotive on-line detecting system according to claim 1; it is characterized in that: described video acquisition module (1) comprises infrared light supply, acquisition module protective cover, semifixed The Cloud Terrace and video camera; described infrared light supply and video camera are arranged on described semifixed The Cloud Terrace, and described acquisition module protective cover is arranged at described video acquisition module and infrared light supply outside in order to protect described video acquisition module.
3. bow net of electric locomotive on-line detecting system according to claim 1, it is characterized in that: described monitor and detection processing module (2) comprises network data transmission equipment, the image detection processor, module is checked in monitoring, GSM alerting signal sending module, 3G wireless network module and server, described monitoring is checked that module is arranged in the pilothouse at vehicle two ends and is used the operation conditions for driver's real time inspection pantograph, described network data transmission equipment respectively with described video acquisition module (1), image detection processor and monitoring check that module connects, the image transmission that described network data transmission equipment collects described video acquisition module (1) checks module to described image detection processor and monitoring, described image detection processor is connected to realize the transmission of data through described 3G wireless network module and described server, described monitoring checks that module is connected the image information that shows that described image detection processor is processed with described image detection processor, described GSM alerting signal sending module is connected with the image detection processor, described 3G wireless network module is arranged in described image detection processor, described image detection processor is controlled described GSM alerting signal sending module transmission information and is reported to the police.
4. a bow net of electric locomotive online test method, is characterized in that, comprises the following steps:
1) described video acquisition module (1) gathers the image information of pantograph and is transferred to described image detection processor by described network data transmission equipment;
2) judge whether train moves, do not work on if train does not move video acquisition module 1, the image detection processor can stop detecting;
3) image information that the described video acquisition module of described image detection processor pair (1) gathers is stored and image processing and analyzing is also contrasted data and predefined warning parameter after analyzing, and the information that described video acquisition module (1) gathers simultaneously checks that by described monitoring module is shown through described Check processing machine;
4) if step 3) data after analyzing exceed the warning parameter, by GSM alerting signal sending module, to the cell-phone number of appointment, send warning message, simultaneously, this abnormal information is transferred in described server through described 3G wireless network module by described image detection processor, for operating personnel's access.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310372592.5A CN103438924B (en) | 2013-08-23 | 2013-08-23 | Bow net of electric locomotive on-line detecting system and detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310372592.5A CN103438924B (en) | 2013-08-23 | 2013-08-23 | Bow net of electric locomotive on-line detecting system and detection method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103438924A true CN103438924A (en) | 2013-12-11 |
| CN103438924B CN103438924B (en) | 2016-09-28 |
Family
ID=49692620
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310372592.5A Active CN103438924B (en) | 2013-08-23 | 2013-08-23 | Bow net of electric locomotive on-line detecting system and detection method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103438924B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105539512A (en) * | 2015-12-31 | 2016-05-04 | 天津市北海通信技术有限公司 | Pantograph monitoring system |
| CN107399338A (en) * | 2016-05-18 | 2017-11-28 | 北京华兴致远科技发展有限公司 | Train contact network detection means and method |
| CN107478923A (en) * | 2017-06-29 | 2017-12-15 | 深圳市智能机器人研究院 | A kind of electric car pantograph detection method |
| CN109000729A (en) * | 2018-07-31 | 2018-12-14 | 广州科易光电技术有限公司 | Vehicle-mounted contact net condition monitoring system |
| CN111397552A (en) * | 2020-03-19 | 2020-07-10 | 北京科技大学 | Online detection device and method for detecting abrasion loss of lining plate of mill by electromagnetic ultrasonic |
| CN113091815A (en) * | 2021-04-02 | 2021-07-09 | 北京中车赛德铁道电气科技有限公司 | Pantograph running state monitoring control system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11139187A (en) * | 1997-08-21 | 1999-05-25 | Franz Plasser Bahnbaumas Ind Gmbh | Trolley wire laying machine device |
| WO2010046984A1 (en) * | 2008-10-23 | 2010-04-29 | 三菱電機株式会社 | Propulsion control device for electric car |
| CN201514201U (en) * | 2009-09-11 | 2010-06-23 | 中南大学 | Device for monitoring state of bow net of electric locomotive |
| CN102175219A (en) * | 2011-01-31 | 2011-09-07 | 中国铁道科学研究院基础设施检测研究所 | High-speed contact network locator gradient detection method and apparatus thereof based on video analysis |
| CN102255956A (en) * | 2011-06-24 | 2011-11-23 | 广西大学 | Wireless-based pantograph state monitoring system |
| CN103115647A (en) * | 2013-02-01 | 2013-05-22 | 赵乎 | Monitoring system for rail transit bow net operating condition |
| CN203414101U (en) * | 2013-08-23 | 2014-01-29 | 天津市三特电子有限公司 | Pantograph-catenary on-line detection system for electric locomotive |
-
2013
- 2013-08-23 CN CN201310372592.5A patent/CN103438924B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11139187A (en) * | 1997-08-21 | 1999-05-25 | Franz Plasser Bahnbaumas Ind Gmbh | Trolley wire laying machine device |
| WO2010046984A1 (en) * | 2008-10-23 | 2010-04-29 | 三菱電機株式会社 | Propulsion control device for electric car |
| CN201514201U (en) * | 2009-09-11 | 2010-06-23 | 中南大学 | Device for monitoring state of bow net of electric locomotive |
| CN102175219A (en) * | 2011-01-31 | 2011-09-07 | 中国铁道科学研究院基础设施检测研究所 | High-speed contact network locator gradient detection method and apparatus thereof based on video analysis |
| CN102255956A (en) * | 2011-06-24 | 2011-11-23 | 广西大学 | Wireless-based pantograph state monitoring system |
| CN103115647A (en) * | 2013-02-01 | 2013-05-22 | 赵乎 | Monitoring system for rail transit bow net operating condition |
| CN203414101U (en) * | 2013-08-23 | 2014-01-29 | 天津市三特电子有限公司 | Pantograph-catenary on-line detection system for electric locomotive |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105539512A (en) * | 2015-12-31 | 2016-05-04 | 天津市北海通信技术有限公司 | Pantograph monitoring system |
| CN107399338A (en) * | 2016-05-18 | 2017-11-28 | 北京华兴致远科技发展有限公司 | Train contact network detection means and method |
| CN107478923A (en) * | 2017-06-29 | 2017-12-15 | 深圳市智能机器人研究院 | A kind of electric car pantograph detection method |
| CN107478923B (en) * | 2017-06-29 | 2020-01-14 | 深圳市智能机器人研究院 | Electric vehicle pantograph detection method |
| CN109000729A (en) * | 2018-07-31 | 2018-12-14 | 广州科易光电技术有限公司 | Vehicle-mounted contact net condition monitoring system |
| CN111397552A (en) * | 2020-03-19 | 2020-07-10 | 北京科技大学 | Online detection device and method for detecting abrasion loss of lining plate of mill by electromagnetic ultrasonic |
| CN111397552B (en) * | 2020-03-19 | 2021-06-11 | 北京科技大学 | Online detection device and method for detecting abrasion loss of lining plate of mill by electromagnetic ultrasonic |
| CN113091815A (en) * | 2021-04-02 | 2021-07-09 | 北京中车赛德铁道电气科技有限公司 | Pantograph running state monitoring control system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103438924B (en) | 2016-09-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103438924A (en) | Electric locomotive pantograph net online detection system and detection method | |
| KR101949525B1 (en) | Safety management system using unmanned detector | |
| CN103115647B (en) | Monitoring system for rail transit bow net operating condition | |
| CN207060068U (en) | Train bow net condition monitoring system | |
| US10469579B2 (en) | Method and system for data processing in a vehicle group | |
| CN101716945B (en) | Railway locomotive axle infrared thermal image monitoring method and system | |
| CN101762327B (en) | Infrared temperature monitoring method and system of electrified railway contact network | |
| CN201514201U (en) | Device for monitoring state of bow net of electric locomotive | |
| CN206060983U (en) | Vehicle-mounted pantograph dynamic monitoring system | |
| US8719382B2 (en) | Method and system for data processing | |
| CN106488191A (en) | Electric automobile telesecurity monitoring method | |
| CN101898567A (en) | Railway foreign body limit-intruding monitoring system based on intelligent video | |
| CN105539512A (en) | Pantograph monitoring system | |
| CN101393690A (en) | Over-height vehicle monitoring and pre-warning facility system, monitoring and pre-warning method thereof | |
| CN105405304A (en) | Highway long downhill path traffic safety early warning emergency processing system | |
| CN105184528A (en) | Vehicle OBD system for vehicle company management | |
| CN107399338A (en) | Train contact network detection means and method | |
| CN106971529A (en) | A kind of highway monitoring system | |
| CN202753893U (en) | Vehicle intelligent information safety integrated system | |
| CN108594032A (en) | A kind of contactless contact net on-line checking alarm real-time transmission system and method | |
| CN205573978U (en) | Pantograph monitoring system | |
| CN207882355U (en) | A kind of contactless contact net on-line checking alarm real-time transmission system | |
| US20140267724A1 (en) | Recording system and method for vehicle | |
| CN104692204A (en) | Elevator video system | |
| CN203414101U (en) | Pantograph-catenary on-line detection system for electric locomotive |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Online detection system and detection method for electric locomotive pantographs and overhead lines Granted publication date: 20160928 Pledgee: Bank of Beijing Limited by Share Ltd. Tianjin branch Pledgor: TIANJIN SANTE ELECTRONICS CO.,LTD. Registration number: Y2024980012171 |