CN108639956A - The container crane intelligent early-warning system and method for view-based access control model detection technique - Google Patents
The container crane intelligent early-warning system and method for view-based access control model detection technique Download PDFInfo
- Publication number
- CN108639956A CN108639956A CN201810681634.6A CN201810681634A CN108639956A CN 108639956 A CN108639956 A CN 108639956A CN 201810681634 A CN201810681634 A CN 201810681634A CN 108639956 A CN108639956 A CN 108639956A
- Authority
- CN
- China
- Prior art keywords
- processing host
- cable
- host system
- analysis processing
- video image
- 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.)
- Withdrawn
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C13/00—Other constructional features or details
- B66C13/16—Applications of indicating, registering, or weighing devices
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C13/00—Other constructional features or details
- B66C13/18—Control systems or devices
- B66C13/46—Position indicators for suspended loads or for crane elements
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C13/00—Other constructional features or details
- B66C13/18—Control systems or devices
- B66C13/48—Automatic control of crane drives for producing a single or repeated working cycle; Programme control
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C15/00—Safety gear
- B66C15/06—Arrangements or use of warning devices
- B66C15/065—Arrangements or use of warning devices electrical
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C2700/00—Cranes
- B66C2700/08—Electrical assemblies or electrical control devices for cranes, winches, capstans or electrical hoists
- B66C2700/084—Protection measures
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C2700/00—Cranes
- B66C2700/08—Electrical assemblies or electrical control devices for cranes, winches, capstans or electrical hoists
- B66C2700/085—Control actuators
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Automation & Control Theory (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The invention discloses a kind of container crane intelligent early-warning system of view-based access control model detection technique and methods, including video image acquisition sensing system, it include the video image acquisition synchronous firing control system that video image acquisition synchronizes trigger controller, the auxiliary lighting system of trigger controller connection synchronous with video image acquisition, image analysis processing host system, and the PLC that trigger controller synchronous with video image acquisition and image analysis processing host system connect respectively, one acoustic-optic alarm is connected to image analysis processing host system, one power-supply system provides power supply for above each system.Through the invention device realize container lifting device to the automatic detection of container truck boxcar separation after raising, hoist cable escape frame detect automatically, trolley frame towing cable and the abnormal functions such as detect automatically of electrical chamber door.The present invention has the advantages such as intelligence degree is high, recognition accuracy is high, highly reliable, continuous work ability is strong, environmental suitability is strong, reaction is fast.
Description
Technical field
The invention belongs to container terminal or Container Transport industrial security and automation control areas, are related to artificial intelligence
With the application of computer vision technique.More specifically, be a kind of view-based access control model detection technique container crane it is intelligently pre-
Alert system and method.
Background technology
Recently as the rapid development of global harbour container transport service, the operation field of container terminal is more and more numerous
It is busy, operating environment also more sophisticated.In order to promote harbour service efficiency, remote control equipment is also gradually put into harbour production and is made
In industry, the incomparable advantage of traditional equipment is suffered from working efficiency, operation cost.However container crane
Workload ramps, and driver is easier fatigue in the operation of continuous high intensity.Especially remote control equipment, although driver
It can check field condition by remote monitoring, but limitation due to device structure and monitored picture are various, driver can not take into account institute
There is details, there are certain controlling difficulties and security risks.To find out its cause, mainly traditional monitor and control facility is picture transmission
Device does not have initiative recognition and judges and automated to respond to ability, when numerous monitored pictures needs driver's real time inspection, is easy
Visual fatigue is generated, certain potential insecurity are finally had ignored.
For this purpose, developing a set of real-time active detecting of high-intelligentization comprehensive detection device using vision bionics intelligent identification technology
The running abnormal conditions of equipment simultaneously send out early warning, container crane automatic detection level can be promoted, to ensure port
Area's job safety effective carries out.
Invention content
For problem mentioned in background technology, the present invention proposes a kind of container of view-based access control model detection technique
Heavy-duty machine intelligent early-warning system and method, which utilizes visual sensor (camera) bionics human eyes identification function, in the visual field
Measured target carries out detection automatically, tracking, automatic analysis and judgment and reacts, and realizes the function of bionic intelligence control.
The present invention can be achieved by the following technical programs:
A kind of container crane intelligent early-warning system of view-based access control model detection technique, including the video image at each position are adopted
Collection sensing system, include video image acquisition synchronize trigger controller video image acquisition synchronous firing control system,
The auxiliary lighting system of trigger controller connection synchronous with the video image acquisition, image analysis processing host system, and point
The PLC PLC technologies of trigger controller not synchronous with the video image acquisition and the connection of image analysis processing host system
Device, an acoustic-optic alarm are connected to described image analyzing processing host system, and a power-supply system provides electricity for above each system
Source;
The video image acquisition sensing system includes several video detection sensors, a Giganet switches,
Each video detection sensor includes a kilomega network GIGE camera with external trigger, the ends GIGE of each camera
Mouth is all connected by GIGE cables with Giganet switches, and Giganet switches pass through GIGE cables and image point
Analysis processing host system is connected, and the triggering port of each camera is connected to the video figure by triggering cable respectively
Picture
The same port of the synchronous trigger controller of acquisition.
Wherein, the video image acquisition synchronous firing control system mainly by input and output isolation photoelectric coupling circuit,
Single chip circuit, voltage-stabilized power supply circuit and RS232 communicating circuits are constituted;Its input port is for receiving the PLC programmable controls
The job state switch order that device processed is sent out, when the PLC programmable controller sends out corresponding action command, the photoelectricity
Termination power drags down corresponding PLC programmable controller I/O mouthfuls of level, and PLC programmable controller is according to I/O mouthfuls of electricity
Level state makes corresponding camera be turned on and off, by the signal output state for changing synchronous triggering port so that corresponding
Sensor-triggered acquires image, and sends out device action signal to image analysis processing host system by the ports RS232, notifies
Action is opened or closed to image analysis processing host system progress Computer Vision picture.
Wherein, 3 cameras in the video image acquisition sensing system are arranged in the container crane sling
Cable upper end position.
Wherein, the container crane is being transported in 1 camera setting in the video image acquisition sensing system
Trolley roof on.
Wherein, the trolley frame towing cable in the trolley is arranged in 2 cameras in the video image acquisition sensing system
Both ends.
Wherein, the camera is all separately mounted in the shell of a water proof and dust proof.
Wherein, the power-supply system is general regulated power supply.
Wherein, the auxiliary lighting system is the LED light fillings of trigger controller connection synchronous with video image acquisition respectively
Lamp and illuminance sensor composition.
Wherein, described image analyzing processing host system is made of computer or industrial personal computer, includes kilomega network in host
Network communication apparatus, the ports RS232 or RS485 compatible ports, and the application program for image analysis processing is installed.
The present invention also proposes that a kind of method realized using above-described container crane intelligent early-warning system includes
Container handling machinery realized in operation process container truck boxcar separation detection after raising, hoist cable escape frame detection,
The detection identification of trolley frame towing cable and electrical chamber door abnormality detection, wherein
Container truck boxcar separation detection includes:
After container truck enters monitoring objective region, described image analyzing processing host system is according to relatively-stationary
Truck tire size searches for truck tire region simultaneously its change in location of real-time tracking in picture, when crane facility has locking dynamic
When making, the shape feature and gray feature and output reference 3D of described image analyzing processing host system record set card tire region
Position data corresponds to X-direction displacement, Y-direction displacement, X-direction deflection angle, Y-direction deflection angle and Z-direction deflection angle respectively
Degree, reference data at this time is all 0.00, and when crane has raising action, described image analyzing processing host system is divided in real time
Analyse each data of tire region offset compared with reference data, when raising after a certain period of time data offset in a certain range
It is interior, it was demonstrated that container is normally detached with truck, can normal raising, when some data or multiple data-bias are more than a certain range
When be abnormal, image analysis processing host system will send out early warning or alarm relay signal by the acoustic-optic alarm,
And raising is stopped by PLC programmable controller input port control device or driver is notified to confirm;
Hoist cable escapes frame detection:
When equipment raising, 3 cameras mounted on hoist hoist cable upper end position obtain hoist cable frame in real time
Image frame is transferred to described image analyzing processing host system, and image analysis processing host system is by image frame according to position
Relationship is taken out keypoint part, that is, cable frame position and is spliced, and the complete cable frame image of a width is generated, because of hoist cable and electricity
Cable frame has apparent color characteristic, shape feature and edge feature, by whether just to analyze the position judgment cable of hoist cable
It is often involved in cable frame, the position of cable should not exceed cable frame outer edge, image analysis processing host system under normal circumstances
Once identifying that hoist cable position is more than cable frame outer edge, you can think that hoist cable is improper and be involved in, system will export
Early warning or alarm signal are to PLC programmable controller, or driver is reminded to further confirm that;
Trolley frame towing cable detects:
Mounted on trolley frame towing cable both ends camera captured in real-time trolley frame towing cable location drawing picture and be transferred to image analysis
Host system is handled, when the trolley travelling of crane facility, trolley frame towing cable should steadily be folded with trolley travelling direction or exhibition
It opens, relative position is substantially stationary, and left and right edges should not exceed its maximum running position, once its edge exceeds maximum allowable model
Enclose, you can think that the operation of trolley towing cable is bad, at this time image analysis processing host system will export early warning or alarm signal to PLC
Programmable controller, control device is out of service or driver is reminded to overhaul or safeguard;
Electrically chamber door abnormality detection includes:
Camera on trolley acquires small roof picture and is transferred to image analysis processing host system, when equipment is small
When vehicle is run, should not there are personnel's delay or small roof electric appliance box door that should close on small roof, image analysis processing host system is logical
It crosses the small roof iconic model pre-established to compare with real-time pictures, when small roof someone person delay or electric appliance chamber door abnormal opening
When, small roof realtime graphic and the iconic model pre-established generate difference, and difference section is abnormal position, works as difference section
When domain area is more than a certain range, image analysis processing host system equally exports early warning or alarms to PLC programmable controller,
Related personnel is reminded to make respective handling.
Due to using the technology described above, the invention has the advantages that:
The present invention is monitored equipment key position using high definition camera, the various priori conditions according to institute's monitoring objective
Be associated with device action, the various features of image frame identify in real time, analyze, are judged, it is final carry out early warning and alarming or
Real-time Feedback various parameters data exclude to neglect when driver manipulates crane facility to realize the purpose of bionic intelligence control
Potential security risk slightly.Different from traditional detection means, the present invention can not only export traditional video monitoring picture for department
Machine is checked at any time, more possesses active detecting identification arbitration functions, the labor intensity of driver can be effectively relieved, and is the safety fortune of equipment
Row provides safeguard, and prevents the generation of all kinds of accidents.
Description of the drawings
Below according to the drawings and specific embodiments, the invention will be further described:
Fig. 1 is the structure diagram of the present invention;
Fig. 2 is sensor of the invention structural schematic diagram;
Fig. 3 is control loop schematic diagram of the present invention;
Fig. 4 is image recognition testing process schematic diagram of the present invention.
Wherein, 1, image analysis processing host system;2, auxiliary lighting system;3, PLC programmable controller;4, video figure
As the synchronous trigger controller of acquisition;5, acoustic-optic alarm, 6, Giganet switches;7, power-supply system;A, camera waterproof case;
B, camera;The port B-1, GIGE;B-2, camera trigger port.
Specific implementation mode
As shown in Figure 1, a kind of tire crane anti-collision based on real time video image identification of the present invention hits early warning system, including
Video image acquisition sensing system, include video image acquisition synchronize trigger controller 4 video image acquisition synchronize it is tactile
Send out control system, auxiliary lighting system 2, the image analysis processing host that trigger controller 4 synchronous with video image acquisition connects
System 1, and the PLC that trigger controller 4 synchronous with video image acquisition and image analysis processing host system 1 connect respectively can be compiled
Range controller 3, an acoustic-optic alarm 5 are connected to image analysis processing host system 1, and power-supply system provides for above each system
Power supply.Image analysis processing host system 1 includes computer or industrial personal computer hardware system and application software system.
Wherein video image acquisition sensing system includes several video detection sensors, Giganet switches 6, is such as schemed
Shown in 2, each video detection sensor includes a kilomega network GIGE camera with external trigger, the ports GIGE of each camera B
B-1 is connected by GIGE cables with Giganet switches, and Giganet switches 6 pass through GIGE cables and image analysis processing master
Machine system 1 is connected, and the triggering port B-2 of each camera is connected to video image acquisition synchronization triggering control by triggering cable respectively
The corresponding ports of device 4 processed so that camera can order effective triggering according to image analysis processing host system 1 at any time.Camera is all
In the shell A of a water proof and dust proof.Image analysis processing host system 1 can connect multiple video detection sensors and be used for
Detect different positions.3 cameras in the present embodiment in video image acquisition sensing system are arranged in container crane
Hoist cable upper end position, 1 camera are arranged on the trolley roof for transporting the container crane, and 2 camera settings exist
The trolley frame towing cable both ends of trolley.
Wherein video image acquisition synchronous firing control system is mainly by input and output isolation photoelectric coupling circuit, microcontroller
Circuit, voltage-stabilized power supply circuit and RS232 communicating circuits are constituted;Its input port is for receiving what PLC programmable controller 3 was sent out
Job state switch order, when PLC programmable controller 3 sends out corresponding action command, photoelectric coupling circuit will be right therewith
3I/O mouthfuls of level of the PLC programmable controller answered drag down, and PLC programmable controller 3 makes corresponding according to I/O mouthfuls of level state
Camera is turned on and off, by the signal output state for changing synchronous triggering port so that corresponding sensor-triggered acquisition
Image, and device action signal is sent out to image analysis processing host system 1 by the ports RS232, notify image analysis processing
Host system 1 carries out being turned on and off for Computer Vision picture.Another function of synchronous firing control system is basis
Illuminance transducer signal judges the illuminance of current direction of travel, and when illumination is less than certain value, secondary light source pair is opened in triggering
Video detection sensor carries out light filling, to ensure that the image of video detection sensor acquisition is maintained in recognizable set.Image
Analyzing processing host system 1 is made of computer PC or industrial personal computer IPC, and gigabit networking communication apparatus, RS232 are included in host
Port or RS485 compatible ports, and the application program for image analysis processing is installed.
The power-supply system 7 of the present invention is general regulated power supply, and regulated power supply is provided for each equipment in system.
The video acquisition synchronous firing control system principle of the present invention is as shown in figure 3, mainly by input and output Phototube Coupling
Termination power, single chip circuit, voltage-stabilized power supply circuit and RS232 communicating circuits are constituted.Its input port is for receiving tyre crane
The job state switch order that equipment PLC is sent out, when tyre crane equipment sends out corresponding action command, photoelectric coupling circuit will
Corresponding single-chip processor i/o mouth level drags down, and microcontroller enables corresponding camera according to I/O mouthfuls of level state and turns on
Or close, by the signal output state for changing synchronous triggering port so that corresponding sensor-triggered acquires image, simultaneously
Device action signal is sent out to host by the ports RS232, notice host carries out being turned on and off for Computer Vision picture.
Another function of synchronous firing control system is that the illuminance of current direction of travel is judged according to illuminance transducer signal, works as photograph
When degree is less than certain value, triggering opens secondary light source and carries out light filling to video detection sensor, to ensure video detection sensor
The image of acquisition is maintained in recognizable set.
Include that container handling machinery exists using the method that above-described container crane intelligent early-warning system is realized
Realize after raising that container truck boxcar separation detection, hoist cable escape frame detection, trolley frame towing cable and electrical in operation process
The detection of chamber door abnormality detection identifies that Fig. 4 is image recognition testing process schematic diagram, wherein
Container truck boxcar separation detection includes:
After container truck enters monitoring objective region, image analysis processing host system 1 is according to relatively-stationary collection
Card tire size searches for truck tire region simultaneously its change in location of real-time tracking in picture, when crane facility has block action
When, the shape feature and gray feature of 1 record set card tire region of image analysis processing host system and the positions output reference 3D
Data correspond to X-direction displacement, Y-direction displacement, X-direction deflection angle, Y-direction deflection angle and Z-direction deflection angle respectively,
Reference data at this time is all 0.00, and when crane has raising action, image analysis processing host system 1 analyzes tire in real time
The offset of each data in region is compared with reference data, when data offset is in a certain range after a certain period of time for raising, it was demonstrated that
Container is normally detached with truck, can normal raising, be different when some data or multiple data-bias are more than a certain range
Often, image analysis processing host system 1 will send out early warning or alarm relay signal by acoustic-optic alarm 5, and pass through PLC
3 input port control device of programmable controller stops raising or driver is notified to confirm;
Hoist cable escapes frame detection:
When equipment raising, 3 cameras mounted on hoist hoist cable upper end position obtain hoist cable frame in real time
Image frame is transferred to image analysis processing host system 1, and image analysis processing host system 1 closes image frame according to position
System takes out keypoint part, that is, cable frame position and is spliced, and the complete cable frame image of a width is generated, because of hoist cable and cable
Whether frame has apparent color characteristic, shape feature and edge feature, normal by the position judgment cable for analyzing hoist cable
It is involved in cable frame, the position of cable should not exceed cable frame outer edge, image analysis processing host system 1 one under normal circumstances
Denier identifies that hoist cable position is more than cable frame outer edge, you can thinks that hoist cable is improper and is involved in, system will export pre-
Alert or alarm signal is to PLC programmable controller 3, or driver is reminded to further confirm that;
Trolley frame towing cable detects:
Mounted on trolley frame towing cable both ends camera captured in real-time trolley frame towing cable location drawing picture and be transferred to image analysis
Host system 1 is handled, when the trolley travelling of crane facility, trolley frame towing cable should steadily be folded with trolley travelling direction or exhibition
It opens, relative position is substantially stationary, and left and right edges should not exceed its maximum running position, once its edge exceeds maximum allowable model
Enclose, you can think trolley towing cable operation it is bad, at this time image analysis processing host system 1 will export early warning or alarm signal to
PLC programmable controller 3, control device is out of service or driver is reminded to overhaul or safeguard;
Electrically chamber door abnormality detection includes:
Camera on trolley acquires small roof picture and is transferred to image analysis processing host system 1, works as equipment
There should not be personnel to be detained when trolley travelling, on small roof or small roof electric appliance box door should close, image analysis processing host system 1
It is compared by the small roof iconic model and real-time pictures that pre-establish, when small roof someone person delay or electric appliance chamber door are beaten extremely
When opening, small roof realtime graphic and the iconic model pre-established generate difference, and difference section is abnormal position, works as difference
When region area is more than a certain range, PLC PLC technologies are given in the equally output early warning or alarm of image analysis processing host system 1
Device 3 reminds related personnel to make respective handling.
Image scene is stored in host hard drive by system after all targets for realizing monitoring generate alarm, to realize accident
The retrospect of cause of accident when analysis.
But the above specific embodiments are only exemplary, is to preferably enable those skilled in the art
Understand this patent, be not to be construed as include to this patent range limitation;As long as according to the institute of spirit disclosed in this patent
Any equivalent change or modification made, each fall within what this patent included.
Claims (10)
1. a kind of container crane intelligent early-warning system of view-based access control model detection technique, it is characterised in that:Including each position
Video image acquisition sensing system includes the video image acquisition synchronization triggering that video image acquisition synchronizes trigger controller
Auxiliary lighting system, the image analysis processing host that control system, trigger controller synchronous with the video image acquisition connect
System, and trigger controller synchronous with the video image acquisition and the PLC of image analysis processing host system connection can respectively
Programmable controller, an acoustic-optic alarm are connected to described image analyzing processing host system, and a power-supply system is above each system
System provides power supply;The video image acquisition sensing system includes several video detection sensors, a Giganet switches,
Each video detection sensor includes a kilomega network GIGE camera with external trigger, and the ports GIGE of each camera pass through
GIGE cables are connected with Giganet switches, and Giganet switches pass through GIGE cables and image analysis processing host system phase
Even, the triggering port of camera is connected to the corresponding end that the video image acquisition synchronizes trigger controller by triggering cable respectively
Mouthful.
2. container crane intelligent early-warning system according to claim 1, it is characterised in that:The video image acquisition
Synchronous firing control system is mainly by input and output isolation photoelectric coupling circuit, single chip circuit, voltage-stabilized power supply circuit and RS232
Communicating circuit is constituted;Its input port works as institute for receiving the job state switch order that the PLC programmable controller is sent out
When stating PLC programmable controller and sending out corresponding action command, the photoelectric coupling circuit is by corresponding PLC programmable controls
Device I/O mouthfuls of level processed drag down, and PLC programmable controller makes corresponding camera be turned on and off according to I/O mouthfuls of level state, lead to
Cross the signal output state for changing synchronous triggering port so that corresponding sensor-triggered acquires image, and passes through the ends RS232
Mouth sends out device action signal to image analysis processing host system, and notice image analysis processing host system carries out video image
Action is opened or closed to processing picture.
3. container crane intelligent early-warning system according to claim 2, it is characterised in that:The video image acquisition
3 cameras in sensing system are arranged in the container crane sling cable upper end position.
4. container crane bionic intelligence control system according to claim 3, it is characterised in that:The video image
1 camera in acquisition sensing system is arranged on the trolley roof for transporting the container crane.
5. container crane intelligent early-warning system according to claim 4, it is characterised in that:The video image acquisition
2 cameras in sensing system are arranged at the trolley frame towing cable both ends of the trolley.
6. container crane intelligent early-warning system according to claim 5, it is characterised in that:The camera is all pacified respectively
In the shell of a water proof and dust proof.
7. container crane intelligent early-warning system according to claim 6, it is characterised in that:The power-supply system is logical
Regulated power supply.
8. container crane intelligent early-warning system according to claim 7, it is characterised in that:The auxiliary lighting system
For the LED light supplement lamp and illuminance sensor composition of trigger controller connection synchronous with video image acquisition respectively.
9. container crane intelligent early-warning system according to claim 8, it is characterised in that:Described image analyzing processing
Host system is made of computer or industrial personal computer, simultaneous comprising gigabit networking communication apparatus, the ports RS232 or RS485 in host
Hold port, and the application program for image analysis processing is installed.
10. utilizing the method for the container crane intelligent early-warning system described in claim 9, it is characterised in that:Including packaging
Case loading mechanization realizes that container truck boxcar separation detection after raising, hoist cable escape frame detection, trolley in operation process
The detection of frame towing cable and electrical chamber door abnormality detection identifies that wherein container truck boxcar separation detection includes:
After container truck enters monitoring objective region, described image analyzing processing host system is according to relatively-stationary truck
Tire size searches for truck tire region simultaneously its change in location of real-time tracking in picture, when crane facility has block action
When, the shape feature and gray feature and output reference 3D of described image analyzing processing host system record set card tire region
Data are set, correspond to X-direction displacement, Y-direction displacement, X-direction deflection angle, Y-direction deflection angle and Z-direction deflection angle respectively
Degree, reference data at this time is all 0.00, and when crane has raising action, described image analyzing processing host system is divided in real time
Analyse each data of tire region offset compared with reference data, when raising after a certain period of time data offset in a certain range
It is interior, it was demonstrated that container is normally detached with truck, can normal raising, when some data or multiple data-bias are more than a certain range
When be abnormal, image analysis processing host system will send out early warning or alarm relay signal by the acoustic-optic alarm,
And raising is stopped by PLC programmable controller input port control device or driver is notified to confirm;Hoist cable escapes frame inspection
Survey includes:
When equipment raising, 3 cameras mounted on hoist hoist cable upper end position obtain hoist cable block diagram picture in real time
Picture transmission is to described image analyzing processing host system, and image analysis processing host system is by image frame according to position relationship
It takes out keypoint part, that is, cable frame position to be spliced, the complete cable frame image of a width is generated, because of hoist cable and cable frame
Have apparent color characteristic, shape feature and edge feature, by analyze hoist cable position judgment cable whether normal volume
Enter in cable frame, the position of cable should not exceed cable frame outer edge under normal circumstances, and image analysis processing host system is once
Identify that hoist cable position is more than cable frame outer edge, you can think that hoist cable is improper and be involved in, system will export early warning
Or alarm signal is further confirmed that PLC programmable controller, or prompting driver;Trolley frame towing cable detects:
Mounted on trolley frame towing cable both ends camera captured in real-time trolley frame towing cable location drawing picture and be transferred to image analysis processing
Host system, when the trolley travelling of crane facility, trolley frame towing cable should steadily be folded with trolley travelling direction or expansion,
Relative position is substantially stationary, and left and right edges should not exceed its maximum running position, once its edge exceeds the permitted maximum range, i.e.,
It is believed that the operation of trolley towing cable is bad, image analysis processing host system will export early warning or alarm signal and can be compiled to PLC at this time
Range controller, control device is out of service or driver is reminded to overhaul or safeguard;
Electrically chamber door abnormality detection includes:Camera on trolley acquires small roof picture and is transferred to image analysis processing
Host system should not have personnel's delay or small roof electric appliance box door that should close, image point when equipment trolley travelling on small roof
Analysis processing host system is compared by the small roof iconic model that pre-establishes and real-time pictures, when small roof someone person delay or
When electric appliance chamber door abnormal opening, small roof realtime graphic and the iconic model pre-established generate difference, and difference section is
Abnormal position, when difference region area is more than a certain range, image analysis processing host system equally exports early warning or alarm
To PLC programmable controller, related personnel is reminded to make respective handling.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810681634.6A CN108639956A (en) | 2018-06-27 | 2018-06-27 | The container crane intelligent early-warning system and method for view-based access control model detection technique |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810681634.6A CN108639956A (en) | 2018-06-27 | 2018-06-27 | The container crane intelligent early-warning system and method for view-based access control model detection technique |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108639956A true CN108639956A (en) | 2018-10-12 |
Family
ID=63750019
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810681634.6A Withdrawn CN108639956A (en) | 2018-06-27 | 2018-06-27 | The container crane intelligent early-warning system and method for view-based access control model detection technique |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108639956A (en) |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110390811A (en) * | 2019-07-31 | 2019-10-29 | 大连华锐重工起重机有限公司 | A kind of crane swarm intelligence storage communication system |
CN110723648A (en) * | 2019-10-30 | 2020-01-24 | 三一海洋重工有限公司 | Cable basket-out recognition system, cable hanging device and crane |
CN111539344A (en) * | 2020-04-27 | 2020-08-14 | 北京国泰星云科技有限公司 | Control system and method for preventing container truck from being lifted based on video stream and artificial intelligence |
CN111680585A (en) * | 2020-05-26 | 2020-09-18 | 湖南澄科科技有限公司 | Truck loading and unloading safety monitoring method based on tire identification |
CN111766882A (en) * | 2020-07-03 | 2020-10-13 | 上海振华重工(集团)股份有限公司 | Container detection method suitable for AGV and automatic wharf management system |
CN112061993A (en) * | 2020-08-27 | 2020-12-11 | 宁波大榭招商国际码头有限公司 | Automatic detecting and monitoring method for vehicle plate separation during container lifting |
CN112061992A (en) * | 2020-08-27 | 2020-12-11 | 宁波大榭招商国际码头有限公司 | Monitoring system for cable storage basket of gantry crane |
CN112550979A (en) * | 2020-10-14 | 2021-03-26 | 宁波大榭招商国际码头有限公司 | Method for realizing monitoring of container door opening |
CN113923418A (en) * | 2021-10-28 | 2022-01-11 | 北京国基科技股份有限公司 | System and method for detecting abnormal opening of box door based on video analysis |
CN113923417A (en) * | 2021-10-28 | 2022-01-11 | 北京国基科技股份有限公司 | Distributed container lock detection alarm system and method based on video analysis |
CN114155438A (en) * | 2021-12-07 | 2022-03-08 | 南京飞衍智能科技有限公司 | Container loading and unloading safety detection method and system |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040126015A1 (en) * | 2002-12-31 | 2004-07-01 | Hadell Per Anders | Container identification and tracking system |
CN101096262A (en) * | 2006-06-28 | 2008-01-02 | 上海振华港口机械(集团)股份有限公司 | Container-truck positioning system and method for container crane |
CN105217472A (en) * | 2015-10-09 | 2016-01-06 | 上海胜迈机电科技有限公司 | Container piling site tyre hoister automatization operation system |
CN106101651A (en) * | 2016-07-29 | 2016-11-09 | 天津埃特维科技有限公司 | Automated container terminal video monitoring system |
CN107344696A (en) * | 2017-08-25 | 2017-11-14 | 上海沪东集装箱码头有限公司 | Tire crane anti-collision based on real time video image identification hits early warning system and its method |
CN207226848U (en) * | 2017-08-25 | 2018-04-13 | 上海沪东集装箱码头有限公司 | Tyre crane Intelligent anti-collision early warning system based on real time video image identification |
-
2018
- 2018-06-27 CN CN201810681634.6A patent/CN108639956A/en not_active Withdrawn
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040126015A1 (en) * | 2002-12-31 | 2004-07-01 | Hadell Per Anders | Container identification and tracking system |
CN101096262A (en) * | 2006-06-28 | 2008-01-02 | 上海振华港口机械(集团)股份有限公司 | Container-truck positioning system and method for container crane |
CN105217472A (en) * | 2015-10-09 | 2016-01-06 | 上海胜迈机电科技有限公司 | Container piling site tyre hoister automatization operation system |
CN106101651A (en) * | 2016-07-29 | 2016-11-09 | 天津埃特维科技有限公司 | Automated container terminal video monitoring system |
CN107344696A (en) * | 2017-08-25 | 2017-11-14 | 上海沪东集装箱码头有限公司 | Tire crane anti-collision based on real time video image identification hits early warning system and its method |
CN207226848U (en) * | 2017-08-25 | 2018-04-13 | 上海沪东集装箱码头有限公司 | Tyre crane Intelligent anti-collision early warning system based on real time video image identification |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110390811B (en) * | 2019-07-31 | 2023-07-28 | 大连华锐重工起重机有限公司 | Crane cluster intelligent storage communication system |
CN110390811A (en) * | 2019-07-31 | 2019-10-29 | 大连华锐重工起重机有限公司 | A kind of crane swarm intelligence storage communication system |
CN110723648A (en) * | 2019-10-30 | 2020-01-24 | 三一海洋重工有限公司 | Cable basket-out recognition system, cable hanging device and crane |
CN111539344A (en) * | 2020-04-27 | 2020-08-14 | 北京国泰星云科技有限公司 | Control system and method for preventing container truck from being lifted based on video stream and artificial intelligence |
CN111680585A (en) * | 2020-05-26 | 2020-09-18 | 湖南澄科科技有限公司 | Truck loading and unloading safety monitoring method based on tire identification |
CN111680585B (en) * | 2020-05-26 | 2024-02-06 | 湖南澄科科技有限公司 | Loading and unloading safety monitoring method for truck based on tire identification |
CN111766882A (en) * | 2020-07-03 | 2020-10-13 | 上海振华重工(集团)股份有限公司 | Container detection method suitable for AGV and automatic wharf management system |
CN112061992A (en) * | 2020-08-27 | 2020-12-11 | 宁波大榭招商国际码头有限公司 | Monitoring system for cable storage basket of gantry crane |
CN112061993A (en) * | 2020-08-27 | 2020-12-11 | 宁波大榭招商国际码头有限公司 | Automatic detecting and monitoring method for vehicle plate separation during container lifting |
CN112550979A (en) * | 2020-10-14 | 2021-03-26 | 宁波大榭招商国际码头有限公司 | Method for realizing monitoring of container door opening |
CN113923418A (en) * | 2021-10-28 | 2022-01-11 | 北京国基科技股份有限公司 | System and method for detecting abnormal opening of box door based on video analysis |
CN113923417A (en) * | 2021-10-28 | 2022-01-11 | 北京国基科技股份有限公司 | Distributed container lock detection alarm system and method based on video analysis |
CN114155438A (en) * | 2021-12-07 | 2022-03-08 | 南京飞衍智能科技有限公司 | Container loading and unloading safety detection method and system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108639956A (en) | The container crane intelligent early-warning system and method for view-based access control model detection technique | |
CN106829742B (en) | A kind of anti-based on laser slings detecting system and method | |
CN104386582A (en) | Container truck anti-mis-hoisting system and method for track crane | |
CN109117764A (en) | Using the method for color threshold method identification target object region electrical symbol in power monitoring | |
CN109534177A (en) | A kind of anti-hoisting device of truck based on machine vision and truck are prevented slinging method | |
CN107344696A (en) | Tire crane anti-collision based on real time video image identification hits early warning system and its method | |
CN210100021U (en) | Automatic obstacle-removing robot system for transformer substation | |
CN207226848U (en) | Tyre crane Intelligent anti-collision early warning system based on real time video image identification | |
CN113923418A (en) | System and method for detecting abnormal opening of box door based on video analysis | |
CN108792951A (en) | The truck of image recognition technology is anti-to sling method, system, equipment and storage medium | |
CN207371878U (en) | A kind of producing line system of shared device for eliminating | |
CN103149218A (en) | Empty jar online detection method and device | |
CN101881958A (en) | Integrated control system of cable tunnel | |
CN106870003A (en) | A kind of mine intelligent inspection robot control system based on Internet of Things | |
CN209554386U (en) | Ship loader cart walking mechanism anti-collision alarm system | |
CN211688002U (en) | Tower crane hoist and mount operation safety protection system | |
CN209948789U (en) | Power distribution monitoring system | |
CN204474071U (en) | A kind of elevator faults checking system based on Internet of Things | |
CN208766119U (en) | A kind of vision inspection apparatus for copper bar hole bur quality | |
CN209161281U (en) | A kind of blocking device of the exceeded alarm in brake clearance for underground coal mine | |
CN104417504B (en) | The security protection subsystem of battery replacement of electric automobile system | |
CN206553094U (en) | A kind of anti-based on laser slings detecting system | |
CN212198008U (en) | Elevator fault brake release rescue system with acousto-optic prompt | |
CN211480595U (en) | Intelligent manufacturing controller with current detection function | |
CN210294559U (en) | Empty box intelligent recognition system |
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 | ||
WW01 | Invention patent application withdrawn after publication |
Application publication date: 20181012 |
|
WW01 | Invention patent application withdrawn after publication |