CN107273811A - Motor-car uses three layers of job platform cab apron method for monitoring state - Google Patents
Motor-car uses three layers of job platform cab apron method for monitoring state Download PDFInfo
- Publication number
- CN107273811A CN107273811A CN201710363615.4A CN201710363615A CN107273811A CN 107273811 A CN107273811 A CN 107273811A CN 201710363615 A CN201710363615 A CN 201710363615A CN 107273811 A CN107273811 A CN 107273811A
- Authority
- CN
- China
- Prior art keywords
- cab apron
- image information
- state
- cab
- motor
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/147—Details of sensors, e.g. sensor lenses
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30232—Surveillance
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Vascular Medicine (AREA)
- Image Analysis (AREA)
Abstract
Three layers of job platform cab apron method for monitoring state, the collapsed state to monitor cab apron are used the invention provides a kind of motor-car, it is ensured that motor-car outbound safety, technical program of the present invention lies in comprise the following steps:S001:The cab apron label with identification feature is made, and installed in cab apron side, image collecting device is set in the top of most end cab apron side;S002:Starting cab apron work order makes cab apron transfer or pack up, after cab apron completes work order, starts the image information of each piece of cab apron side label of image acquisition device;S003:Above-mentioned image information is transferred to server, server is identified and stored to image information;S004:Server is contrasted the image information of identification with pre-set image information, to judge the tilt angle theta of cab apron and horizontal direction, if 20 ° of θ >, for cab apron abnormal state, on the contrary then cab apron state is normal;S005:Judged result is exported, control room and job platform send corresponding alarm signal respectively, to reflect current cab apron state status.
Description
Technical field
The present invention relates to motor car inspection and repair platform monitoring field, specially motor-car is with three layers of job platform cab apron state prison of institute
Prosecutor method.
Background technology
Current Motor Car Institute uses the platform of artificial maintenance motor-car external status, mostly three layers inspection platform, maintainer west
It is horizontal during medicine operation, it is necessary to which the cab apron of platform side is put down, easy access personnel reach motor-car roof by cab apron
Operation.When motor car inspection and repair terminates outbound, cab apron is retracted in vertical state.In motor-car outbound, cab apron state must be perpendicular to make
Industry platform, otherwise motor-car shell cause huge economic loss probably by cab apron scratch.
Therefore it is in be confirmed whether that all cab aprons are all packed up, it is necessary to be monitored to cab apron state before motor-car outbound
Plumbness.
The content of the invention
Three layers of job platform cab apron method for monitoring state are used the invention provides a kind of motor-car, to monitor cab apron
Collapsed state, it is ensured that motor-car outbound safety.
Technical program of the present invention lies in comprise the following steps:
S001:The cab apron label with identification feature is made, and installed in cab apron side, in the upper of most end cab apron side
Side sets image collecting device;
S002:Starting cab apron work order makes cab apron transfer or pack up, after cab apron completes work order, starts image
Harvester gathers the image information of each piece of cab apron side label;
S003:Above-mentioned image information is transferred to server, server is identified and stored to image information;
S004:Server is contrasted the image information of identification with pre-set image information, to judge cab apron and level side
To tilt angle theta, it is on the contrary then cab apron state is normal for cab apron abnormal state if 20 ° of θ >;
S005:Judged result is exported, control room and job platform send corresponding alarm signal, currently crossed to reflect respectively
Board status situation.
As the preferred of such scheme, the cab apron label is rectangular thin plate structure, and direction is unified installed in all cab aprons
Side, this is sideways any one in relative two sides of adjacent cab apron, the cab apron label length and width difference
Less than or equal to the length and width of cab apron side where cab apron label.
As the preferred of such scheme, the identification feature includes the color coating and word being arranged on cab apron label,
The color coating includes blue coating and red coatings, the blue coating and/or the red being arranged side by side by left and right mode
Word is set on coating.
As the preferred of such scheme, in the step S001, image collecting device carries out image using ball-shaped camera
Collection.
As the preferred of such scheme, in the step S004, control methods includes gathering color in image information and applied
Top edge or lower edge the progress registration of layer top edge or lower edge and pre-set color coating are compared, and are calculated and gathered
Color coating top edge or lower edge are relative to the top edge of pre-set color coating or the deviation of lower edge in image information
Angle [alpha], if 20 ° of α >, for cab apron abnormal state, on the contrary then cab apron state is normal, the top edge of the pre-set color coating
Or lower edge is horizontal direction.
Or, as the another preferred of such scheme, in the step S004, control methods includes will collection image letter
Word in breath carries out registration with default word and compared, and calculates the word in collection image information relative to default word
Misalignment angle β, if 20 ° of β >, for cab apron abnormal state, on the contrary then cab apron state is normal, and the default word is level side
To.
The beneficial effects of the present invention are:
It is capable of the picture rich in detail of all cab apron labels of accurate acquisition using the above method, it is accurately fixed that every piece of cab apron machine is carried out
Position, and the state of cab apron is accurately judged by acquired image information, so that accurately understand the position of every piece of cab apron,
Realtime Alerts are made for the cab apron do not packed up completely, to ensure safety during motor-car outbound.
Brief description of the drawings
Fig. 1 installs the structural representation of cab apron for three layers of job platform in the present invention.
Fig. 2 is the schematic diagram of cab apron label.
Indicated in figure:1st, ball-shaped camera, 2, three layers of job platform, 3, cab apron, 4, blue coating, 5, red coatings, 6,
Cab apron label.
Embodiment
Embodiments of the invention are described in detail below in conjunction with accompanying drawing.
As shown in figure 1, the present embodiment is monitored using following steps to cab apron state.
The cab apron label with identification feature is installed in the one side of cab apron first, cab apron label is rectangular thin plate structure,
Unify the side in direction installed in all cab aprons, this is sideways any one in two relative sides of adjacent cab apron, cab apron
Label length and width is respectively smaller than the length and width equal to cab apron side where cab apron label, in whole job library most end
The top of cab apron side sets ball-shaped camera, and whole job library can be completely covered in the ball-shaped camera, and can accurately adopt
Collect the image information of cab apron label in whole job library.
Above-mentioned identification feature includes the color coating and word being arranged on cab apron label, and color coating includes pressing right and left
Blue coating and red coatings that formula or up and down mode are arranged side by side, can be in indigo plant to improve later image contrast accuracy
Word is set in color coating and/or red coatings, to realize the contrast of double characteristic.
Start cab apron work order make cab apron transfer or pack up, after cab apron complete work order after, ball-shaped camera by
The image information of one every piece of cab apron side cab apron label of collection, ball-shaped camera has zoom focusing function, therefore, it is possible to ensure
Every block of cab apron label image of collection is all clear accurate.
Server receive ball-shaped camera acquired image, stored and recognized, and the image information to identification and
Server pre-set image information is contrasted, and control methods includes gathering color coating top edge or following in image information
Edge carries out registration with the top edge or lower edge of pre-set color coating and compared, and calculates color painting in gathered image information
Layer top edge or lower edge are relative to the top edge of pre-set color coating or the misalignment angle α of lower edge, in addition to will adopt
Word in collection image information carries out registration with default word and compared, and calculates the word in collection image information relative to pre-
If the misalignment angle β of word.
In the present embodiment, the tilt angle theta of foregoing cab apron and horizontal direction includes α and β, in theory θ=α=β, herein
α and the specific angles of deviation of β two is set mainly to consider to there may be the feelings of the image detection failure to color coating or word
Condition, the amount different to two carries out detection respectively and contrast judges respectively, as long as one of α or β are more than 20 °, then sentences
Break as cab apron abnormal state, the accuracy to cab apron condition adjudgement can be effectively improved with this, play double insurance effect.
When detecting α and/or β more than 20 °, the warning device on control room and job platform sends alarm signal,
To point out staff, there is a situation where cab apron abnormal state.If carried out after image information contrast, α and β are respectively less than 20 °,
Then illustrate that all cab apron states are normal, the warning device on control room and job platform sends another different alarm signal,
To point out staff, cab apron state is all gone well.
In theory, α=β, only fails in the image detection failure to color coating or the image detection to word
In the case of α ≠ β situation just occurs, now only need to one of α and β more than 20 °, then illustrate cab apron abnormal state.
The preferred embodiments of the present invention are these are only, are not intended to limit the invention, for those skilled in the art
For member, the present invention can have various modifications and variations.Any modification within the spirit and principles of the invention, being made,
Equivalent substitution, improvement etc., should be included in the scope of the protection.
Claims (6)
1. motor-car uses three layers of job platform cab apron method for monitoring state, it is characterised in that comprise the following steps:
S001:The cab apron label with identification feature is made, and installed in cab apron side, is set above most end cab apron side
Put image collecting device;
S002:Starting cab apron work order makes cab apron transfer or pack up, after cab apron completes work order, starts IMAQ
Device gathers the image information of each piece of cab apron side label;
S003:Above-mentioned image information is transferred to server, server is identified and stored to image information;
S004:Server is contrasted the image information of identification with pre-set image information, to judge cab apron and horizontal direction
Tilt angle theta, it is on the contrary then cab apron state is normal for cab apron abnormal state if 20 ° of θ >;
S005:Judged result is exported, control room and job platform send corresponding alarm signal respectively, to reflect current cab apron shape
State situation.
2. motor-car according to claim 1 uses three layers of job platform cab apron method for monitoring state, it is characterised in that:Institute
Cab apron label is stated for rectangular thin plate structure, unifies the side in direction installed in all cab aprons, this is relative for adjacent cab apron sideways
Any one in two sides, the cab apron label length and width is respectively smaller than equal to cab apron side where cab apron label
Length and width.
3. motor-car according to claim 2 is with three layers of job platform cab apron filling monitoring method of institute, it is characterised in that:Institute
Color coating and word that identification feature includes being arranged on cab apron label are stated, the color coating is included by left and right mode side by side
Word is set in the blue coating and red coatings of setting, the blue coating and/or red coatings.
4. motor-car according to claim 3 is with three layers of job platform cab apron filling monitoring method of institute, it is characterised in that:Institute
State in step S001, image collecting device carries out IMAQ using ball-shaped camera.
5. motor-car according to claim 3 is with three layers of job platform cab apron filling monitoring method of institute, it is characterised in that:Institute
State in step S004, control methods includes gathering color coating top edge or lower edge in image information and applied with pre-set color
The top edge or lower edge of layer carry out registration comparison, and calculate in gathered image information color coating top edge or under
Edge is relative to the top edge of pre-set color coating or the misalignment angle α of lower edge, if 20 ° of α >, different for cab apron state
Often, on the contrary then cab apron state is normal, and the top edge or lower edge of the pre-set color coating are horizontal direction.
6. motor-car according to claim 3 is with three layers of job platform cab apron filling monitoring method of institute, it is characterised in that:Institute
State in step S004, control methods includes being compared the word gathered in image information and default word progress registration, and counts
Misalignment angle β of the word relative to default word in collection image information is calculated, if 20 ° of β >, for cab apron abnormal state,
On the contrary then cab apron state is normal, and the default word is horizontal direction.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710363615.4A CN107273811B (en) | 2017-05-22 | 2017-05-22 | Motor-car uses three layers of job platform cab apron method for monitoring state |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710363615.4A CN107273811B (en) | 2017-05-22 | 2017-05-22 | Motor-car uses three layers of job platform cab apron method for monitoring state |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107273811A true CN107273811A (en) | 2017-10-20 |
CN107273811B CN107273811B (en) | 2019-11-08 |
Family
ID=60064815
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710363615.4A Active CN107273811B (en) | 2017-05-22 | 2017-05-22 | Motor-car uses three layers of job platform cab apron method for monitoring state |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107273811B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108629349A (en) * | 2018-05-11 | 2018-10-09 | 北京环境特性研究所 | A kind of pedal detection method and system based on image procossing |
CN113050531A (en) * | 2021-03-10 | 2021-06-29 | 哈尔滨恒通机械设备有限公司 | Safety interlocking control method for warehousing and transportation and overhaul of railway vehicle |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130245884A1 (en) * | 2012-03-19 | 2013-09-19 | Qualcomm Incorporated | User experience of the connected automobile |
CN204128635U (en) * | 2014-01-03 | 2015-01-28 | 北京博雅中控科技有限公司 | A kind of automatic identification of magnetic flap level gauge and control device |
CN104320613A (en) * | 2014-10-13 | 2015-01-28 | 北京铁道工程机电技术研究所有限公司 | Monitoring method, monitoring system and positioning system for maintenance operation of motor car |
US20150242283A1 (en) * | 2014-02-27 | 2015-08-27 | Red Hat Israel, Ltd. | Backing up virtual machines |
-
2017
- 2017-05-22 CN CN201710363615.4A patent/CN107273811B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130245884A1 (en) * | 2012-03-19 | 2013-09-19 | Qualcomm Incorporated | User experience of the connected automobile |
CN204128635U (en) * | 2014-01-03 | 2015-01-28 | 北京博雅中控科技有限公司 | A kind of automatic identification of magnetic flap level gauge and control device |
US20150242283A1 (en) * | 2014-02-27 | 2015-08-27 | Red Hat Israel, Ltd. | Backing up virtual machines |
CN104320613A (en) * | 2014-10-13 | 2015-01-28 | 北京铁道工程机电技术研究所有限公司 | Monitoring method, monitoring system and positioning system for maintenance operation of motor car |
Non-Patent Citations (4)
Title |
---|
尹建业 等: "动车组作业平台翻板的分析与改进", 《液压气动与密封》 * |
张亚军: "安全联锁监控系统应用及保障措施", 《技师·传承》 * |
王宁: "基于3D技术的动车组运行故障图像检测系统", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 * |
高志亮 等: "安全联锁监控系统在生产中的应用及安全运行保障措施", 《第三届铁路安全风险管理及技术装备研讨会》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108629349A (en) * | 2018-05-11 | 2018-10-09 | 北京环境特性研究所 | A kind of pedal detection method and system based on image procossing |
CN113050531A (en) * | 2021-03-10 | 2021-06-29 | 哈尔滨恒通机械设备有限公司 | Safety interlocking control method for warehousing and transportation and overhaul of railway vehicle |
Also Published As
Publication number | Publication date |
---|---|
CN107273811B (en) | 2019-11-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104787635B (en) | Elevator floor data collecting device and elevator floor operation monitoring and controlling system and method | |
CN102673979B (en) | Method and device for judging deviation of conveying belt | |
CN106681333A (en) | Method and system for improving stability of transformer substation inspection robot | |
CN206960914U (en) | A kind of cable tunnel inspection robot system | |
CN103235562A (en) | Patrol-robot-based comprehensive parameter detection system and method for substations | |
CN106647569A (en) | Intelligent inspection robot and method | |
CN107273811A (en) | Motor-car uses three layers of job platform cab apron method for monitoring state | |
CN107909050A (en) | A kind of personnel identity information determines method, system, equipment and storage medium | |
CN107155089A (en) | A kind of electric power unifies video monitoring platform equipment fault diagnosis method for early warning | |
CN108792951B (en) | Method, system, equipment and storage medium for preventing lifting of collection card by image recognition technology | |
CN108036812A (en) | Sensor states detection method, device and computer-readable recording medium | |
CN107643147A (en) | A kind of steam leaks track and localization detection method and device | |
CN206920895U (en) | Construction site management system | |
CN114387542A (en) | Video acquisition unit abnormity identification system based on portable ball arrangement and control | |
CN112573312B (en) | Elevator car position determining method and device, elevator system and storage medium | |
CN113065540A (en) | Power transmission line element failure identification method and system based on machine patrol image | |
CN113065462A (en) | Monitoring method, device, equipment and storage medium for power grid overhead line | |
CN116052075A (en) | Hoisting operation behavior detection and evaluation method and equipment based on computer vision | |
CN209273445U (en) | Mechanical arm emergency stop protection device based on multi-angle of view vision-based detection | |
CN110031043A (en) | A kind of civil engineering work structure real-time intelligent monitoring system | |
CN115824290A (en) | Method, device and system for detecting state of alternating current terminal | |
CN112225025A (en) | Method and device for monitoring engagement condition of lock hook of elevator landing door lock | |
CN113920610A (en) | AR technology-based power equipment inspection method and system | |
CN110516551B (en) | Vision-based line patrol position deviation identification system and method and unmanned aerial vehicle | |
CN113359832A (en) | Bridge detection system and detection method based on unmanned aerial vehicle operation |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |