CN111288965B - Cloud processing type inclination state identification system - Google Patents

Cloud processing type inclination state identification system Download PDF

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Publication number
CN111288965B
CN111288965B CN202010204813.8A CN202010204813A CN111288965B CN 111288965 B CN111288965 B CN 111288965B CN 202010204813 A CN202010204813 A CN 202010204813A CN 111288965 B CN111288965 B CN 111288965B
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conversion
container
image
equipment
processing
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CN111288965A (en
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王艳苓
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Jiaxing Shengkang Information Technology Co., Ltd
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Jiaxing Shengkang Information Technology Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C9/00Measuring inclination, e.g. by clinometers, by levels

Abstract

The invention relates to a cloud processing type inclination state identification system, which comprises: the signal extraction mechanism is arranged at the container distribution place and used for performing image signal capture processing on a container stacking scene to obtain a corresponding stacking scene image, and the shooting holder at which the signal extraction mechanism is positioned enables each pixel line of the stacking scene image output by the signal extraction mechanism to be parallel to the ground plane of the container distribution place; the local processing mechanism consists of a first conversion device, a second conversion device and a third conversion device; and the cloud processing equipment is positioned at the far end of the container distribution place and consists of a first analysis node and a second analysis node. The cloud processing type inclination state identification system provided by the invention is stable in operation and convenient to operate. The detection of the inclination state of each stored container is synchronously executed by adopting a targeted data processing mechanism, so that the accident of container overturn is avoided.

Description

Cloud processing type inclination state identification system
Technical Field
The invention relates to the field of cloud processing, in particular to a cloud processing type inclination state identification system.
Background
At the initial stage of container transportation, the structure and specification of the container are different, which affects the international circulation of the container, and the international universal standard of the container needs to be formulated urgently to be beneficial to the development of container transportation. The standardization of the container can not only improve the universality and interchangeability of the container as a common transportation unit in sea, land and air transportation, but also improve the safety and the economy of the container transportation and promote the development of the multi-type intermodal transportation of the international container. Meanwhile, the standardization of the container also provides a basis for the selection, design and manufacture of a carrying tool and a loading and unloading machine of the container, so that the container transportation becomes a mutually-connected matching, specialized and efficient transportation system. The container standard is classified into four types, i.e., international standard, national standard, regional standard, and corporate standard, according to the range of use, and means an internationally universal standard container constructed and used according to the international standard set by the international organization for standardization (ISO) 104 th technical commission.
Container standardization has gone through a development process. The international standards of the international organization for standardization ISO/TC104 have been supplemented, increased, decreased and modified for a plurality of times since the establishment of 1961, and the current international standards are 13 in series 1, wherein the widths of the international standards are the same (2438mm), the lengths of the international standards are four (12192mm, 9125mm, 6058mm and 2991mm), and the heights of the international standards are three (2896mm, 2591mm and 2438 mm).
At present, in each container storage place, in order to guarantee the effective utilization of space, need stack a large amount of containers and place, at this moment, a container does not place the level and appears the inclined state and probably cause the scene that a large amount of containers topple to take place. Due to the large number of containers, a data management mechanism suitable for fast and massive data processing, such as cloud processing, is needed for real-time monitoring of the placement state of each container in each container storage site.
Disclosure of Invention
In order to solve the technical problems in the related field, the invention provides a cloud processing type inclination state identification system which can simultaneously detect whether each container in a stack of containers is inclined or not, and according to the characteristics of data processing, part of data processing is placed at a local end, and the data processing of a key algorithm is placed at a cloud end, so that the specific steps of the key data processing are prevented from being revealed.
For this reason, the present invention needs to have at least the following important points:
(1) adopting cloud processing equipment consisting of a first analysis node and a second analysis node to monitor whether the appearance of each container stored in container collecting and distributing places is inclined or not;
(2) and a specific processing of specific container appearance inclination monitoring is executed by adopting a targeted visual analysis mechanism based on pixel-level precision, so that a container inclination scene which is not easy to be perceived by naked eyes can be found.
According to an aspect of the present invention, there is provided a cloud-processing tilt status identification system, the system comprising:
the signal extraction mechanism is arranged at the container distribution place and used for performing image signal capture processing on a container stacking scene to obtain a corresponding stacking scene image, and the shooting holder at which the signal extraction mechanism is positioned enables each pixel line of the stacking scene image output by the signal extraction mechanism to be parallel to the ground plane of the container distribution place;
the local processing mechanism is arranged near the signal extraction mechanism and consists of a first conversion device, a second conversion device and a third conversion device;
the first conversion device is connected with the signal extraction mechanism and used for executing affine transformation processing on the received stacked scene image to obtain and output a first conversion image;
the second conversion equipment is connected with the first conversion equipment and is used for executing artifact removing processing on the received first conversion image so as to obtain and output a second conversion image;
the third conversion device is connected with the second conversion device and is used for performing gradient sharpening filtering processing on the received second conversion image so as to obtain and output a third conversion image;
the cloud processing equipment is positioned at the far end of the container distribution place, is connected with the third conversion equipment through a network and consists of a first analysis node and a second analysis node;
the first analysis node is used for analyzing an image area where each container target is located from the third conversion image based on the shape geometric characteristics of the container;
the second analysis node is connected with the first analysis node and used for executing the following actions on the image area where each container target is located: taking an included angle formed by the bottommost pixel row of the image area and the bottommost pixel row of the third converted image as a first angle, taking an included angle formed by the topmost pixel row of the image area and the bottommost pixel row of the third converted image as a second angle, and sending a container inclination signal when the average value of the first angle and the second angle exceeds a preset angle threshold;
and the second analysis node is further used for sending a container normalization signal when the mean value of the first angle and the second angle does not exceed the preset angle threshold.
The cloud processing type inclination state identification system provided by the invention is stable in operation and convenient to operate. The detection of the inclination state of each stored container is synchronously executed by adopting a targeted data processing mechanism, so that the accident of container overturn is avoided.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is an application scenario diagram of the cloud processing type tilt state identification system of the present invention.
Fig. 2 is a block diagram illustrating a cloud-processing tilt status recognition system according to a first embodiment of the present invention.
Fig. 3 is a block diagram illustrating a cloud-processing tilt status recognition system according to a second embodiment of the present invention.
Detailed Description
Embodiments of the cloud-processing tilt status recognition system according to the present invention will be described in detail below with reference to the accompanying drawings.
At present, the container storage place is usually a seaport or a transportation hub near the seaport, the quantity of the stored containers is considerable due to large freight volume and large number of ships entering the seaport, and when the containers are stored, if a plurality of containers are placed unstably or placed at wrong positions, the containers are in an inclined state, so that a large number of container overturning accidents are easily caused.
In order to overcome the defects, the invention provides a cloud processing type inclination state identification system, which can effectively solve the corresponding technical problem.
Fig. 1 is a view of an application scenario of the cloud-processing tilt status recognition system of the present invention, and the technical content of the present invention will be further described with more than one implementation.
The first embodiment:
fig. 2 is a block diagram of a cloud-processing tilt status recognition system according to a first embodiment of the present invention, the system including:
the signal extraction mechanism is arranged at the container distribution place and used for performing image signal capture processing on a container stacking scene to obtain a corresponding stacking scene image, and the shooting holder at which the signal extraction mechanism is positioned enables each pixel line of the stacking scene image output by the signal extraction mechanism to be parallel to the ground plane of the container distribution place;
the local processing mechanism is arranged near the signal extraction mechanism and consists of a first conversion device, a second conversion device and a third conversion device;
the first conversion device is connected with the signal extraction mechanism and used for executing affine transformation processing on the received stacked scene image to obtain and output a first conversion image;
the second conversion equipment is connected with the first conversion equipment and is used for executing artifact removing processing on the received first conversion image so as to obtain and output a second conversion image;
the third conversion device is connected with the second conversion device and is used for performing gradient sharpening filtering processing on the received second conversion image so as to obtain and output a third conversion image;
the cloud processing equipment is positioned at the far end of the container distribution place, is connected with the third conversion equipment through a network and consists of a first analysis node and a second analysis node;
the first analysis node is used for analyzing an image area where each container target is located from the third conversion image based on the shape geometric characteristics of the container;
the second analysis node is connected with the first analysis node and used for executing the following actions on the image area where each container target is located: taking an included angle formed by the bottommost pixel row of the image area and the bottommost pixel row of the third converted image as a first angle, taking an included angle formed by the topmost pixel row of the image area and the bottommost pixel row of the third converted image as a second angle, and sending a container inclination signal when the average value of the first angle and the second angle exceeds a preset angle threshold;
and the second analysis node is further used for sending a container normalization signal when the mean value of the first angle and the second angle does not exceed the preset angle threshold.
Second embodiment:
fig. 3 is a block diagram illustrating a cloud-processing tilt status recognition system according to a second embodiment of the present invention, the system including:
the display driving device is connected with the second analysis node through a network and is used for performing highlight display rendering processing on each image area corresponding to each container target triggering the container inclination signal in the third conversion image;
the signal extraction mechanism is arranged at the container distribution place and used for performing image signal capture processing on a container stacking scene to obtain a corresponding stacking scene image, and the shooting holder at which the signal extraction mechanism is positioned enables each pixel line of the stacking scene image output by the signal extraction mechanism to be parallel to the ground plane of the container distribution place;
the local processing mechanism is arranged near the signal extraction mechanism and consists of a first conversion device, a second conversion device and a third conversion device;
the first conversion device is connected with the signal extraction mechanism and used for executing affine transformation processing on the received stacked scene image to obtain and output a first conversion image;
the second conversion equipment is connected with the first conversion equipment and is used for executing artifact removing processing on the received first conversion image so as to obtain and output a second conversion image;
the third conversion device is connected with the second conversion device and is used for performing gradient sharpening filtering processing on the received second conversion image so as to obtain and output a third conversion image;
the cloud processing equipment is positioned at the far end of the container distribution place, is connected with the third conversion equipment through a network and consists of a first analysis node and a second analysis node;
the first analysis node is used for analyzing an image area where each container target is located from the third conversion image based on the shape geometric characteristics of the container;
the second analysis node is connected with the first analysis node and used for executing the following actions on the image area where each container target is located: taking an included angle formed by the bottommost pixel row of the image area and the bottommost pixel row of the third converted image as a first angle, taking an included angle formed by the topmost pixel row of the image area and the bottommost pixel row of the third converted image as a second angle, and sending a container inclination signal when the average value of the first angle and the second angle exceeds a preset angle threshold;
and the second analysis node is further used for sending a container normalization signal when the mean value of the first angle and the second angle does not exceed the preset angle threshold.
Next, a detailed structure of the cloud-processing tilt status recognition system of the present invention will be further described.
In the cloud-processing-type tilt state identification system: the display driving device is also connected with an on-site display screen arranged in a control room of the container distribution site and used for sending the third conversion image subjected to highlight rendering processing to the on-site display screen.
In the cloud-processing-type tilt state identification system: the first conversion equipment is internally provided with a timing unit used for providing reference timing signals for various operations of the first conversion equipment.
In the cloud-processing-type tilt state identification system: the second conversion apparatus includes a signal input unit and a signal output unit, both of which include a ground terminal.
The cloud processing type inclination state identification system further comprises: and the field storage equipment is respectively connected with the first conversion equipment and the second conversion equipment and is used for storing various parameters for setting the first conversion equipment or the second conversion equipment.
The cloud processing type inclination state identification system further comprises: the wired communication interface is connected with the first conversion equipment and used for sending the output data of the first conversion equipment out through a wired communication link; the wired communication interface is one of an ADSL communication interface, a PTSN communication interface, a power line communication interface or an optical fiber communication interface.
The cloud processing type inclination state identification system further comprises: and the temperature regulation and control equipment is arranged in the second conversion equipment and is used for executing the regulation and control of the internal temperature of the second conversion equipment according to the internal temperature value of the second conversion equipment.
In the cloud-processing-type tilt state identification system: the second conversion equipment further comprises temperature measurement quantum equipment which is connected with the temperature regulation and control equipment and used for providing an internal temperature value of the second conversion equipment.
Meanwhile, in order to overcome the defects, the invention also provides a cloud processing type inclined state identification terminal, which comprises: a memory and a processor, the processor coupled to the memory;
wherein the memory is used for storing executable instructions of the processor;
the processor is configured to call the executable instructions in the memory to implement the method for synchronously detecting the tilt state of each stored container by using the cloud processing mechanism with multiple analysis nodes by using the cloud processing type tilt state identification system.
In addition, pstn (public Switched Telephone network) defines: the PSTN provides an analog private channel, and the channels are connected through a plurality of telephone switches. When two hosts or router devices need to be connected through PSTN, a Modem (Modem) must be used on the network access side (i.e., the user loop side) at both ends to implement analog-to-digital, digital-to-analog conversion of signals. From the perspective of the OSI seven-layer model, the PSTN can be viewed as a simple extension of the physical layer, without providing services such as flow control, error control, etc. to the user. Furthermore, since the PSTN is a circuit-switched approach, a path is set up until released, and its full bandwidth can only be used by devices at both ends of the path, even though there is no data to transfer between them. Therefore, this circuit-switched approach does not achieve full utilization of network bandwidth. An example of a network interconnection connecting two local area networks through a PSTN. In the two local area networks, each router is provided with a serial port connected with a Modem, and the Modem is connected with a PSTN, thereby realizing the interconnection of the two local area networks.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

Claims (7)

1. A cloud-processing-type tilt state identification system, comprising:
the signal extraction mechanism is arranged at the container distribution place and used for performing image signal capture processing on a container stacking scene to obtain a corresponding stacking scene image, and the shooting holder at which the signal extraction mechanism is positioned enables each pixel line of the stacking scene image output by the signal extraction mechanism to be parallel to the ground plane of the container distribution place;
the local processing mechanism is arranged near the signal extraction mechanism and consists of a first conversion device, a second conversion device and a third conversion device;
the first conversion device is connected with the signal extraction mechanism and used for executing affine transformation processing on the received stacked scene image to obtain and output a first conversion image;
the second conversion equipment is connected with the first conversion equipment and is used for executing artifact removing processing on the received first conversion image so as to obtain and output a second conversion image;
the third conversion device is connected with the second conversion device and is used for performing gradient sharpening filtering processing on the received second conversion image so as to obtain and output a third conversion image;
the cloud processing equipment is positioned at the far end of the container distribution place, is connected with the third conversion equipment through a network and consists of a first analysis node and a second analysis node;
the first analysis node is used for analyzing an image area where each container target is located from the third conversion image based on the shape geometric characteristics of the container;
the second analysis node is connected with the first analysis node and used for executing the following actions on the image area where each container target is located: taking an included angle formed by the bottommost pixel row of the image area and the bottommost pixel row of the third converted image as a first angle, taking an included angle formed by the topmost pixel row of the image area and the bottommost pixel row of the third converted image as a second angle, and sending a container inclination signal when the average value of the first angle and the second angle exceeds a preset angle threshold;
the second analysis node is further configured to send a container normalization signal when the mean value of the first angle and the second angle does not exceed the preset angle threshold;
the display driving device is connected with the second analysis node through a network and is used for performing highlight rendering processing on each image area corresponding to each container target triggering a container inclination signal in the third conversion image;
the display driving device is also connected with an on-site display screen arranged in a control room of the container distribution site and used for sending the third conversion image subjected to highlight rendering processing to the on-site display screen.
2. The cloud-processed tilt status recognition system of claim 1, wherein:
the first conversion equipment is internally provided with a timing unit used for providing reference timing signals for various operations of the first conversion equipment.
3. The cloud-processed tilt status recognition system of claim 2, wherein:
the second conversion apparatus includes a signal input unit and a signal output unit, both of which include a ground terminal.
4. The cloud-processed tilt state recognition system of claim 3, further comprising:
and the field storage equipment is respectively connected with the first conversion equipment and the second conversion equipment and is used for storing various parameters for setting the first conversion equipment or the second conversion equipment.
5. The cloud-processed tilt state recognition system of claim 1, further comprising:
the wired communication interface is connected with the first conversion equipment and used for sending the output data of the first conversion equipment out through a wired communication link;
the wired communication interface is one of an ADSL communication interface, a PTSN communication interface, a power line communication interface or an optical fiber communication interface.
6. The cloud-processed tilt state recognition system of claim 5, further comprising:
and the temperature regulation and control equipment is arranged in the second conversion equipment and is used for executing the regulation and control of the internal temperature of the second conversion equipment according to the internal temperature value of the second conversion equipment.
7. The cloud-processed tilt status recognition system of claim 6, wherein:
the second conversion equipment further comprises temperature measurement quantum equipment which is connected with the temperature regulation and control equipment and used for providing an internal temperature value of the second conversion equipment.
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