CN107273811B - 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
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- CN107273811B CN107273811B CN201710363615.4A CN201710363615A CN107273811B CN 107273811 B CN107273811 B CN 107273811B CN 201710363615 A CN201710363615 A CN 201710363615A CN 107273811 B CN107273811 B CN 107273811B
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- cab apron
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- 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
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- 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
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- 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
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- 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
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- Engineering & Computer Science (AREA)
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- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Business, Economics & Management (AREA)
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- Computer Vision & Pattern Recognition (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Vascular Medicine (AREA)
- Image Analysis (AREA)
Abstract
The present invention provides a kind of motor-cars to use three layers of job platform cab apron method for monitoring state, to monitor the collapsed state of cab apron, guarantee motor-car outbound safety, technical program of the present invention lies in the following steps are included: S001: production has the cab apron label of identification feature, and it is mounted on cab apron side, in the top of most end cab apron side, image collecting device is set;S002: starting cab apron work order makes cab apron transfer or pack up, and 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 compares 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 <, it is on the contrary then cab apron state is normal for cab apron abnormal state;S005: output judging result, control room and job platform issue 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 fields, and specially motor-car is with three layers of job platform cab apron state prison of institute
Prosecutor method.
Background technique
Platform of the Motor Car Institute using artificial maintenance motor-car external status at present, mostly three layers of inspection platform, service personnel west
It when medicine operation, needs the cab apron by platform side to put down and is in a horizontal state, 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 is probably scratched by cab apron, causes huge economic loss.
Therefore it before motor-car outbound, needs to be monitored cab apron state, is in be confirmed whether that all cab aprons are all packed up
Plumbness.
Summary of the invention
The present invention provides a kind of motor-cars to use three layers of job platform cab apron method for monitoring state, to monitor cab apron
Collapsed state guarantees motor-car outbound safety.
Technical program of the present invention lies in the following steps are included:
S001: production has the cab apron label of identification feature, and is mounted on cab apron side, in the upper of most end cab apron side
Side's setting image collecting device;
S002: starting cab apron work order makes cab apron transfer or pack up, and after cab apron completes work order, starts image
Acquisition device acquires 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 compares the image information of identification with pre-set image information, to judge cab apron and level side
To tilt angle theta, if 20 ° of θ <, it is on the contrary then cab apron state is normal for cab apron abnormal state;
S005: output judging result, control room and job platform issue corresponding alarm signal respectively, are currently crossed with reflection
Board status situation.
The cab apron label is rectangular thin plate structure as a preferred embodiment of the above solution, is mounted on all cab aprons and unifies direction
Side, which is any one in opposite 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.
The identification feature includes the color coating and text being arranged on cab apron label as a preferred embodiment of the above solution,
The color coating includes by left and right mode blue coating arranged side by side and red coatings, the blue coating and/or red
Text is set on coating.
As a preferred embodiment of the above solution, in the step S001, image collecting device carries out image using ball-shaped camera
Acquisition.
As a preferred embodiment of the above solution, in the step S004, control methods includes that will acquire color in image information to apply
Layer top edge or lower edge are calculated and are acquired compared with the top edge of pre-set color coating or lower edge carry out registration
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 <, it is on the contrary then cab apron state is normal, the top edge of the pre-set color coating for cab apron abnormal state
Or lower edge is horizontal direction.
Alternatively, the another kind as above scheme is preferably, in the step S004, control methods includes that will acquire image letter
Text in breath calculates the text in acquisition image information relative to default text compared with default text carries out registration
Misalignment angle β, if 20 ° of β <, on the contrary then cab apron state is normal for cab apron abnormal state, the default text is level side
To.
The beneficial effects of the present invention are:
The clear image that all cab apron labels can be accurately acquired using the above method, it is accurately fixed to carry out to every piece of cab apron machine
Position, and accurate judgement is carried out by state of the acquired image information to cab apron, thus accurately understand the position of every piece of cab apron,
Realtime Alerts are made for the cab apron that do not pack up completely, to guarantee safety when motor-car outbound.
Detailed description of the invention
Fig. 1 is the structural schematic diagram that three layers of job platform install cab apron in the present invention.
Fig. 2 is the schematic diagram of cab apron label.
It is indicated in figure: 1, ball-shaped camera, 2, three layers of job platform, 3, cab apron, 4, blue coating, 5, red coatings, 6,
Cab apron label.
Specific embodiment
Below in conjunction with attached drawing detailed description of the present invention embodiment.
As shown in Figure 1, the present embodiment is monitored cab apron state using following steps.
The cab apron label of identification feature is had in the one side installation of cab apron first, cab apron label is rectangular thin plate structure,
It is mounted on the side that all cab aprons unify direction, which is any one in two opposite 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 entire job library most end
Ball-shaped camera is arranged in the top of cab apron side, which can be completely covered entire job library, and can accurately adopt
Collect the image information of cab apron label in entire job library.
Above-mentioned identification feature includes the color coating and text being arranged on cab apron label, and color coating includes pressing right and left
The blue coating and red coatings that formula or upper and lower mode are arranged side by side compare accuracy to improve later image, can be in indigo plant
Text is set in color coating and/or red coatings, to realize the comparison of double characteristic.
Starting 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 acquisition, ball-shaped camera has zoom focusing function, therefore can guarantee
Every block of cab apron label image of acquisition is all clear and accurate.
Server receive ball-shaped camera acquired image, stored and identified, and to the image information of identification with
Server pre-set image information compares, and control methods includes that will acquire color coating top edge or following in image information
Edge calculates color in acquired image information and applies compared with the top edge of pre-set color coating or lower edge carry out registration
Layer top edge or lower edge further include that will adopt relative to the top edge of pre-set color coating or the misalignment angle α of lower edge
Collect the text in image information compared with default text carries out registration, and calculates the text in acquisition image information relative to pre-
If the misalignment angle β of text.
In the present embodiment, the tilt angle theta of aforementioned cab apron and horizontal direction includes α and β, theoretically θ=α=β, herein
α is set and the β two specific angles of deviation mainly consider that there may be the feelings of the failure of the image detection to color coating or text
Condition detects two different amounts respectively and compares judgement respectively, as long as one of α or β sentence less than 20 °
Break as cab apron abnormal state, the accuracy to the judgement of cab apron state can be effectively improved with this, play the role of double insurance.
When detecting α and/or β less than 20 °, the warning device on control room and job platform issues alarm signal,
To prompt staff, the case where there are cab apron abnormal states.If α and β are all larger than 20 ° after carrying out image information comparison,
Then illustrating that all cab apron states are normal, the warning device on control room and job platform issues another different alarm signal,
To prompt staff, cab apron state is all gone well.
Theoretically, α=β, only in the image detection failure to color coating or to the failure of the image detection of text
In the case of the case where just will appear α ≠ β, only need one of α and β less than 20 ° at this time, then illustrate cab apron abnormal state.
These are only the preferred embodiment of the present invention, is not intended to restrict the invention, for those skilled in the art
For member, the invention may be variously modified and varied.All within the spirits and principles of the present invention, it is made it is any modification,
Equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (4)
1. motor-car uses three layers of job platform cab apron method for monitoring state, it is characterised in that the following steps are included:
S001: production has the cab apron label of identification feature, and is mounted on cab apron side, sets above most end cab apron side
Set image collecting device;
The cab apron label is rectangular thin plate structure, is mounted on the side that all cab aprons unify direction, which is adjacent cab apron
Any one in two opposite sides, the cab apron label length and width are respectively smaller than equal to cab apron where cab apron label
The length and width of side;
The identification feature includes the color coating and text being arranged on cab apron label, and the color coating includes pressing right and left
Text is arranged in the blue coating and/or red coatings in formula blue coating arranged side by side and red coatings;
S002: starting cab apron work order makes cab apron transfer or pack up, and after cab apron completes work order, starts Image Acquisition
Device acquires 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 compares the image information of identification with pre-set image information, to judge cab apron and horizontal direction
Tilt angle theta, if 20 ° of θ <, it is on the contrary then cab apron state is normal for cab apron abnormal state;
S005: output judging result, control room and job platform issue 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
It states in step S001, image collecting device carries out Image Acquisition using ball-shaped camera.
3. motor-car according to claim 1 uses three layers of job platform cab apron method for monitoring state, it is characterised in that: institute
It states in step S004, control methods includes that will acquire color coating top edge or lower edge and pre-set color in image information to apply
The top edge of layer perhaps lower edge carry out registration comparison and calculate in acquired image information color coating top edge or under
Edge relative to the top edge of pre-set color coating or the misalignment angle α of lower edge, if 20 ° of α <, it is different for cab apron state
Often, on the contrary then cab apron state is normal, the top edge of the pre-set color coating or lower edge are horizontal direction.
4. motor-car according to claim 1 uses three layers of job platform cab apron method for monitoring state, it is characterised in that: institute
It states in step S004, control methods includes that will acquire the text in image information compared with default text carries out registration, and count
Misalignment angle β of the text relative to default text in acquisition image information is calculated, if 20 ° of β <, for cab apron abnormal state,
On the contrary then cab apron state is normal, the default text is horizontal direction.
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CN108629349B (en) * | 2018-05-11 | 2020-10-23 | 北京环境特性研究所 | Pedal detection method and system based on image processing |
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 (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
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 |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9417329B2 (en) * | 2012-03-19 | 2016-08-16 | Qualcomm Incorporated | User experience of the connected automobile |
US9959177B2 (en) * | 2014-02-27 | 2018-05-01 | Red Hat Israel, Ltd. | Backing up virtual machines |
-
2017
- 2017-05-22 CN CN201710363615.4A patent/CN107273811B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 |
Non-Patent Citations (4)
Title |
---|
动车组作业平台翻板的分析与改进;尹建业 等;《液压气动与密封》;20150131(第01期);第64-68页 * |
基于3D技术的动车组运行故障图像检测系统;王宁;《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》;20170315(第3期);C033-176 * |
安全联锁监控系统在生产中的应用及安全运行保障措施;高志亮 等;《第三届铁路安全风险管理及技术装备研讨会》;20120501;第549-553页 * |
安全联锁监控系统应用及保障措施;张亚军;《技师·传承》;20160901;第185-188页 * |
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