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 PDF

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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
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China
Prior art keywords
processing host
cable
host system
analysis processing
video image
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CN201810681634.6A
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Chinese (zh)
Inventor
曹仪明
梅建新
陈斌
何平
石岩
杜振奇
冯杰
邹卫光
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SHANGHAI EAST CONTAINER TERMINAL CO Ltd
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SHANGHAI EAST CONTAINER TERMINAL CO Ltd
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Priority to CN201810681634.6A priority Critical patent/CN108639956A/en
Publication of CN108639956A publication Critical patent/CN108639956A/en
Withdrawn legal-status Critical Current

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66CCRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
    • B66C13/00Other constructional features or details
    • B66C13/16Applications of indicating, registering, or weighing devices
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66CCRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
    • B66C13/00Other constructional features or details
    • B66C13/18Control systems or devices
    • B66C13/46Position indicators for suspended loads or for crane elements
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66CCRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
    • B66C13/00Other constructional features or details
    • B66C13/18Control systems or devices
    • B66C13/48Automatic control of crane drives for producing a single or repeated working cycle; Programme control
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66CCRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
    • B66C15/00Safety gear
    • B66C15/06Arrangements or use of warning devices
    • B66C15/065Arrangements or use of warning devices electrical
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66CCRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
    • B66C2700/00Cranes
    • B66C2700/08Electrical assemblies or electrical control devices for cranes, winches, capstans or electrical hoists
    • B66C2700/084Protection measures
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66CCRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
    • B66C2700/00Cranes
    • B66C2700/08Electrical assemblies or electrical control devices for cranes, winches, capstans or electrical hoists
    • B66C2700/085Control actuators

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  • 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

The container crane intelligent early-warning system and method for view-based access control model detection technique
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.
CN201810681634.6A 2018-06-27 2018-06-27 The container crane intelligent early-warning system and method for view-based access control model detection technique Withdrawn CN108639956A (en)

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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
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