CN113923417A - Distributed container lock detection alarm system and method based on video analysis - Google Patents
Distributed container lock detection alarm system and method based on video analysis Download PDFInfo
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Abstract
The invention relates to a distributed container lock head detection alarm system and method based on video analysis, comprising a camera device for acquiring images and/or videos of a container on port machinery; a lock detection system for identifying whether a lock exists on the container based on the computer vision technology and according to the image and/or the video; the PLC is used for receiving the alarm information output by the lock detection system and controlling the working state of the lock detection system; the server is used for carrying out information interaction with the PLC and receiving and transmitting alarm information output by the lock head detection system; the alarm system is used for carrying out information interaction with the server, displaying alarm information and sending an alarm signal according to the alarm information output by the server; the invention can automatically detect whether the lock of the container exists in the process of lifting the container by the port machine.
Description
Technical Field
The invention relates to the technical field of wharf monitoring systems, in particular to a distributed container lock detection alarm system and method based on video analysis.
Background
In the process of marine transportation of the container, the container needs to be fixed between an upper layer and a lower layer by using a lock head. When the bank bridge unloads the container from the ship to the collection truck on, also can carry the tapered end together on the collection truck, need break the lock process this moment, this process is mostly dismantled through the manual work at present, at the dismantlement in-process, probably because staff's negligence, lead to the tapered end not dismantled, and then dragged the yard to by the collection truck, by harbour machinery tire crane or rail hoist promptly, hang the container to the container heap, and then probably produce the container and empty, the goods damages, lead to the condition that the property receives the loss to take place.
At present, whether a lock exists at the bottom of a container is checked, the problem is often solved by manual checking, and a method for checking the lock by matching with manual work through technical means is also provided, which mainly comprises the following steps:
firstly, the problem is solved by manual observation of workers below the shore bridge, in this way, the lock head is easily undetected due to negligence of the workers, the lock head is brought into a storage yard by the container, and the container stack in the storage yard is toppled;
secondly, a camera is arranged at a connecting beam of the port machinery, a real-time video image of the camera is collected for a driver of the port machinery to look around, and the driver visually checks whether a lock exists in a video picture, so that the checking efficiency is low, and the driver is easy to generate visual fatigue to influence the overall production operation efficiency of the port machinery;
thirdly, a connecting beam at the side below the port machinery is provided with a multi-line laser radar and a camera, the mounted laser radar is used for detecting whether a lock head exists at the bottom of the container, and a driver is provided with a video image of the camera for auxiliary observation and judgment.
Disclosure of Invention
The invention provides a distributed container lock detection alarm system and method based on video analysis, aiming at solving the technical problems that the lock monitoring work efficiency is low and the detection is easy to miss due to the fact that the lock monitoring work needs to be monitored manually in the prior art.
The technical scheme for solving the technical problems is as follows:
a distributed container lock head detection alarm system based on video analysis comprises,
camera equipment provided on a port machine: for acquiring images and/or video of containers on the harbour machinery;
tapered end detecting system: processing the image and/or video based on a computer vision identification method, identifying whether a lock exists on the container, and outputting alarm information under the condition that the lock exists;
PLC: the alarm device is used for controlling the working state of the lock detection system and receiving alarm information output by the lock detection system;
a server: the alarm information acquisition device is used for carrying out information interaction with the PLC and acquiring the alarm information from the PLC;
an alarm system: the server is used for carrying out information interaction with the server, displaying alarm information in the server and sending out an alarm signal.
The invention has the beneficial effects that: detecting whether a lock exists at the bottom of the container through a computer vision technology, and sending alarm information to a PLC (programmable logic controller) of the port machinery when the lock exists; and the lock detection alarm information of the port machinery controlled at present is displayed to prompt a driver to pay attention to checking alarm conditions, so that the requirement of a user on the automatic use of the port machinery is met, the alarm and the automatic prompt are automatically found, the visual fatigue caused by long-term monitoring of video pictures by port machinery monitoring personnel is reduced, and the production operation efficiency of the port machinery is improved.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, alarm system sets up on harbour machinery's operation panel or in the operation storehouse, alarm information includes, harbour machinery's serial number, harbour machinery's position, camera equipment's serial number, camera equipment's position, the tapered end image and/or the video on the container.
The beneficial effect who adopts above-mentioned further scheme is that, through adopting distributed display technology, the tapered end that shows port machinery that current controls detects alarm information on the operation panel that current port machinery corresponds to notice to the suggestion driver looks over the warning alert feelings, satisfies the user to the demand of port machinery automation, discovers the warning automatically, automatic suggestion, reduces the visual fatigue that port machinery monitoring personnel monitored the video picture for a long time and brought, improves port machinery production operating efficiency.
Further, the alarm system comprises a video display device and an alarm, wherein the video display device is used for displaying the number of the port machinery, the position of the port machinery, the number of the camera equipment, the position of the camera equipment and a lock head image and/or video on the container; when the lock detection system identifies that the lock exists on the container, the alarm sends out an alarm signal.
The method has the advantages that the number of the port machinery, the position of the port machinery, the number of the camera equipment, the position of the camera equipment and the lock head image and/or video on the container are displayed, once the lock head is detected and the alarm is given, an operator can clearly know the port machinery and the position of the port machinery, and related personnel can efficiently detach the lock head.
Further, the camera equipment is provided with 2 groups at least, every group the camera equipment includes 2 cameras at least, every group the camera equipment corresponds the container of shooing a model at least.
The beneficial effect who adopts above-mentioned further scheme is that, through setting up multiunit camera equipment, be convenient for discern the container of different models effectively, prevent to appear because the different models of container, and lead to camera equipment can't shoot the position of tapered end.
Further, the method for identifying whether the lock exists on the container comprises the following steps:
step 1, performing image feature training on the tapered end by using a convolutional neural network, and establishing a feature model of the tapered end;
step 2, dividing the image and/or video into a plurality of static pictures, eliminating redundant information in all the static pictures, and preprocessing all the static pictures without the redundant information by utilizing a smoothing and filtering method to obtain a plurality of preprocessed static pictures;
and 3, analyzing whether the characteristics consistent with the characteristic model exist on all the preprocessed static images, and if at least one preprocessed static image has the characteristics consistent with the characteristic model, judging that the lock head exists on the container.
The technical scheme has the advantages that the tapered end is subjected to fine feature recognition from all angles through the convolutional neural network technology, a comparison model comprising a plurality of feature sets is generated, and the recognition degree of the tapered end is improved.
A distributed container lock head detection alarm method based on video analysis comprises,
step 1, arranging camera equipment on port machinery; the camera shooting equipment is used for acquiring images and/or videos of the container on the port machinery;
step 2, establishing a lock detection system based on a computer vision identification method, wherein the lock detection system processes the image and/or the video to identify whether a lock exists on the container, and outputs alarm information under the condition that the lock exists;
step 3, setting a PLC, wherein the PLC is used for controlling the working state of the lock detection system and receiving alarm information output by the lock detection system;
step 4, a server is set, and the server acquires the alarm information from the PLC;
and 5, setting an alarm system, wherein the alarm system is used for carrying out information interaction with the server, displaying alarm information in the server and sending an alarm signal.
Further, alarm system sets up on harbour machinery's operation panel or in the operation storehouse, alarm information includes, harbour machinery's serial number, harbour machinery's position, camera equipment's serial number, camera equipment's position, the tapered end image and/or the video on the container.
Further, the alarm system comprises a video display device and an alarm, wherein the video display device is used for displaying the number of the port machinery, the position of the port machinery, the number of the camera equipment, the position of the camera equipment and a lock head image and/or video on the container; when the lock detection system identifies that the lock exists on the container, the alarm sends out an alarm signal.
Further, the camera equipment is provided with 2 groups at least, every group the camera equipment includes 2 cameras at least, every group the camera equipment corresponds the container of shooing a model at least.
Further, the method for identifying whether the lock exists on the container comprises the following steps:
step 1, performing image feature training on the tapered end by using a convolutional neural network, and establishing a feature model of the tapered end;
step 2, dividing the image and/or video into a plurality of static pictures, eliminating redundant information in all the static pictures, and preprocessing all the static pictures without the redundant information by utilizing a smoothing and filtering method to obtain a plurality of preprocessed static pictures;
and 3, analyzing whether the characteristics consistent with the characteristic model exist on all the preprocessed static images, and if at least one preprocessed static image has the characteristics consistent with the characteristic model, judging that the lock head exists on the container.
Drawings
FIG. 1 is a system architecture diagram of the present invention;
FIG. 2 is a block diagram of the system workflow of the present invention;
FIG. 3 is a block diagram of an alarm information transmission flow in the present invention;
fig. 4 is a block diagram of the alarm release process of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, the present invention provides a distributed container lock detection alarm system based on video analysis, which comprises,
camera equipment provided on a port machine: for obtaining images and/or video of containers on a port machine, where the port machine is a port container lifting machine;
tapered end detecting system: based on computer vision technology, identifying whether a lock exists on the container according to the image and/or the video, and outputting alarm information if the lock exists;
PLC: the alarm device is used for receiving alarm information output by the lock detection system and controlling the working state of the lock detection system;
a server: the lock head detection system is used for carrying out information interaction with the PLC and receiving and transmitting alarm information output by the lock head detection system;
an alarm system: and the alarm device is used for carrying out information interaction with the server, displaying alarm information and sending an alarm signal according to the alarm information output by the server.
Specifically, the camera equipment is provided with 2 groups at least, every group camera equipment includes 2 cameras at least, every group camera equipment corresponds the container of shooing a model at least.
The lock detection system calls the video streams of 4 cameras monitoring the locks on the port machinery through an RTSP protocol, detects the bottom of the container and detects whether the locks exist; according to the operation instruction of the port machinery, the PLC starts an algorithm to detect the video streams of the 4 cameras when the port machinery lifting appliance is locked.
As shown in fig. 2, when the target container is a 20-foot container, an algorithm is started to detect the video streams of the cameras 3 and 4; when the target container is a 40 or 45 container, the algorithm is initiated to detect the video streams of cameras 1 and 2. Stopping the algorithm detection when the container lifted by a lifting appliance of the port machinery rises to more than 5 meters; when detecting that the tapered end is left over to the container bottom, send tapered end detection alarm signal to PLC, its alarm signal includes: camera ID, coordinates of the alarm target, i.e., the port machinery that is alarming, and the like.
Detecting whether a lock exists at the bottom of the container through a computer vision technology, and sending alarm information to a PLC (programmable logic controller) of the port machinery when the lock exists; and the lock detection alarm information of the port machinery controlled at present is displayed to prompt a driver to pay attention to checking alarm conditions, so that the requirement of a user on the automatic use of the port machinery is met, the alarm and the automatic prompt are automatically found, the visual fatigue caused by long-term monitoring of video pictures by port machinery monitoring personnel is reduced, and the production operation efficiency of the port machinery is improved.
The alarm system is arranged on an operation table or in an operation cabin of the port machinery, and the alarm information comprises the serial number of the port machinery, the position of the port machinery, the serial number of the camera equipment, the position of the camera equipment, a lock image and/or video on the container and an alarm signal.
The alarm system comprises a video display device and an alarm, wherein the video display device is used for displaying the serial number of the port machinery, the position of the port machinery, the serial number of the camera equipment, the position of the camera equipment and a lock head image and/or video on the container; when the lock detection system identifies that the lock exists on the container, the alarm sends out an alarm signal.
Fig. 3 is a block diagram of an alarm information transmission flow, after receiving alarm information of a lock detection system, a PLC pushes the alarm information to OPC on a server, and meanwhile, OPC pushes the alarm information to PSCA interface service software on the server, the interface service software pushes the alarm information to an operation console performing remote control operation according to an operation binding relationship between the operation console and a port machine, and marks alarm target information on a video picture of the operation console, and simultaneously, an operation console host sounds a buzzing sound, namely an alarm signal, to prompt a driver to pay attention to an alarm situation. Because any one operation desk can control any one port machinery, and the operation desk can be in various working states and display different video pictures, when the binding relation between the operation desk and the operation of the port machinery is judged, the picture layout of the picture displayed by the operation desk must be bound with the analysis of the lock detection system, namely, as long as the analysis of the lock detection system is carried out, the picture for monitoring the lock must be arranged on the display screen of the operation desk for controlling the port machinery, the alarm information can be processed by installing PRCS video processing software on the computer or the display control terminal of the operation desk, and the alarm information is displayed by the display screen.
FIG. 4 is a block diagram of the alarm release process of the present invention, wherein when the console prompts the lock detection alarm information, the driver must confirm and verify the alarm, after the verification, the driver can directly click the close button on the touch screen displaying the video picture to turn off the alarm information, the driver turns off the alarm information, and then the algorithm detection is stopped, i.e., the lock detection system stops the analysis work.
The algorithm stopping method of the lock detection system comprises the following steps: when the lock detection system receives manual closing alarm information or stop algorithm detection information sent to the lock detection system by the PLC, the lock detection system stops detection.
Further, the method for identifying whether the lock exists on the container comprises the following steps:
step 1, performing image feature training on the tapered end by using a convolutional neural network, and establishing a feature model of the tapered end;
step 2, dividing the image and/or video into a plurality of static pictures, eliminating redundant information in the divided static pictures, and processing the static pictures by utilizing smoothing and filtering technologies to obtain a plurality of preprocessed static pictures;
and 3, analyzing whether the characteristics consistent with the characteristic model exist on all the preprocessed static pictures, and if the characteristics consistent with the characteristic model exist on at least one preprocessed static picture, judging that a lock head exists on the container.
The lock head is subjected to fine feature recognition from all angles through the convolutional neural network technology, a contrast model comprising a plurality of feature sets is generated, the recognition degree of the lock head is improved, and other sensors are not required for detection.
The relevant english abbreviations appearing herein are explained as follows:
PLC: the programmable logic controller is also called a programmable control device; is a digital operation electronic system specially designed for application in industrial environment. It uses a programmable memory, in which the instructions for implementing logical operation, sequence control, timing, counting and arithmetic operation are stored, and utilizes digital or analog input and output to control various mechanical equipments or production processes.
RTSP protocol: real Time Streaming Protocol, RFC2326, Real-Time Streaming Protocol, is an application layer Protocol in the TCP/IP Protocol system, and is an IETF RFC standard submitted by university of columbia, internet scenery, and RealNetworks corporation. The protocol defines how one-to-many applications efficiently communicate multimedia data over an IP network.
And (3) OPC: OLE for Process Control, is an industry standard, and OPC includes a standard set of interfaces, properties, and methods for Process Control and manufacturing automation systems.
PSCA interface service software: user interface software, providing an interface between a person and the software, is called a "user interface," also known as a "UI". I.e. the interaction interface between different parts of the software. Usually a so-called API, i.e. application programming interface, which is represented in the form of source code.
PRCS: namely Adobe Premiere CS software, a video processing software, has various video functions such as video editing, beautification, and subtitles.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. Distributed container lock head detection alarm system based on video analysis, its characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
camera equipment provided on a port machine: for acquiring images and/or video of containers on the harbour machinery;
tapered end detecting system: processing the image and/or video based on a computer vision identification method, identifying whether a lock exists on the container, and outputting alarm information under the condition that the lock exists;
PLC: the alarm device is used for controlling the working state of the lock detection system and receiving alarm information output by the lock detection system;
a server: the alarm information acquisition device is used for carrying out information interaction with the PLC and acquiring the alarm information from the PLC;
an alarm system: the server is used for carrying out information interaction with the server, displaying alarm information in the server and sending out an alarm signal.
2. The distributed container lock head detection alarm system based on video analysis of claim 1, wherein: the alarm system is arranged on an operation table or in an operation cabin of the port machinery, and the alarm information comprises the serial number of the port machinery, the position of the port machinery, the serial number of the camera equipment, the position of the camera equipment, and a lock image and/or a video on the container.
3. The distributed container lock head detection alarm system based on video analysis of claim 2, wherein: the alarm system comprises a video display device and an alarm, wherein the video display device is used for displaying the serial number of the port machinery, the position of the port machinery, the serial number of the camera equipment, the position of the camera equipment and a lock head image and/or video on the container; when the lock detection system identifies that the lock exists on the container, the alarm sends out an alarm signal.
4. The distributed container lock head detection alarm system based on video analysis of claim 1, wherein: the camera shooting equipment is provided with 2 groups at least, every group camera shooting equipment includes 2 cameras at least, every group camera shooting equipment corresponds the container of shooting a model at least.
5. The distributed container lock head detection alarm system based on video analysis of claim 1, wherein: the method for identifying whether the lock exists on the container comprises the following steps:
step 1, performing image feature training on the tapered end by using a convolutional neural network, and establishing a feature model of the tapered end;
step 2, dividing the image and/or video into a plurality of static pictures, eliminating redundant information in all the static pictures, and preprocessing all the static pictures without the redundant information by utilizing a smoothing and filtering method to obtain a plurality of preprocessed static pictures;
and 3, analyzing whether the characteristics consistent with the characteristic model exist on all the preprocessed static images, and if at least one preprocessed static image has the characteristics consistent with the characteristic model, judging that a lock head exists on the container.
6. A distributed container lock detection alarm method based on video analysis is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
step 1, arranging camera equipment on port machinery; the camera shooting equipment is used for acquiring images and/or videos of the container on the port machinery;
step 2, establishing a lock detection system based on a computer vision identification method, wherein the lock detection system processes the image and/or the video to identify whether a lock exists on the container, and outputs alarm information under the condition that the lock exists;
step 3, setting a PLC, wherein the PLC is used for controlling the working state of the lock detection system and receiving alarm information output by the lock detection system;
step 4, a server is set, and the server acquires the alarm information from the PLC;
and 5, setting an alarm system, wherein the alarm system is used for carrying out information interaction with the server, displaying alarm information in the server and sending an alarm signal.
7. The distributed container lock head detection alarm method based on video analysis of claim 6, wherein: the alarm system is arranged on an operation table or in an operation cabin of the port machinery, and the alarm information comprises the serial number of the port machinery, the position of the port machinery, the serial number of the camera equipment, the position of the camera equipment, and a lock image and/or a video on the container.
8. The distributed container lock head detection alarm method based on video analysis of claim 7, wherein: the alarm system comprises a video display device and an alarm, wherein the video display device is used for displaying the serial number of the port machinery, the position of the port machinery, the serial number of the camera equipment, the position of the camera equipment and a lock head image and/or video on the container; when the lock detection system identifies that the lock exists on the container, the alarm sends out an alarm signal.
9. The distributed container lock head detection alarm method based on video analysis of claim 6, wherein: the camera shooting equipment is provided with 2 groups at least, every group camera shooting equipment includes 2 cameras at least, every group camera shooting equipment corresponds the container of shooting a model at least.
10. The distributed container lock head detection alarm method based on video analysis of claim 6, wherein: the method for identifying whether the lock exists on the container comprises the following steps:
step 1, performing image feature training on the tapered end by using a convolutional neural network, and establishing a feature model of the tapered end;
step 2, dividing the image and/or video into a plurality of static pictures, eliminating redundant information in all the static pictures, and preprocessing all the static pictures without the redundant information by utilizing a smoothing and filtering method to obtain a plurality of preprocessed static pictures;
and 3, analyzing whether the characteristics consistent with the characteristic model exist on all the preprocessed static images, and if at least one preprocessed static image has the characteristics consistent with the characteristic model, judging that the lock head exists on the container.
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Application publication date: 20220111 |