Rapid inspection system for port container

Abstract

The invention relates to the technical field of logistics management, in particular to a rapid inspection system for port containers, and the system comprises a camera module which is used for collecting container surface image data and storing the container surface image data; the storage module is used for uploading qualified container surface image data, marking the qualified container surface image data and storing the qualified container surface image data with marks after marking is completed; according to the invention, the surface image data of the container is acquired through the camera, and the uploaded prior image is compared with the acquired surface image data of the container to judge whether the surface of the container has defects, so that the inspection message is further generated and fed back to the system end user, and the actual condition of the container can be reflected to the system end user more quickly; and it is guaranteed that the containers are safer in the transportation and circulation process, and therefore the requirement for the labor cost of container appearance inspection work is greatly reduced.

Description

Technical Field

[0001] The invention relates to the technical field of logistics management, and in particular to a rapid inspection system for port containers. Background Art

[0002] Port containers play a key role in global trade. They are large, standardized cargo containers that are strong, easy to load and unload, and transport. In ports, they can be loaded with various types of goods through efficient circulation of equipment such as cranes, and can achieve safe storage and long-distance transportation of goods, greatly improving logistics efficiency and promoting world economic exchanges and development.

[0003] The invention patent with application number 201410031016.9 discloses an inspection system for containers, comprising: a radiation source, which provides X-rays for scanning containers; a detector, which is used to receive X-rays emitted from the radiation source; an inspection system body, on which the radiation source and the detector are arranged; wherein the size of the inspection system body is arranged to facilitate the inspection of containers; wherein the inspection system body is a mobile body; the mobile body includes a frame; the mobile body also includes a lifting device, and the lifting device is arranged to move the container along the height direction of the frame; the detector includes a transverse detector, which is arranged on one longitudinal side of the frame, and the direction in which the transverse detector extends is perpendicular to the height direction of the frame, and the radiation source is arranged on the other longitudinal side of the frame. During the inspection process, the container is located between the two longitudinal sides; a slide rail is arranged on the frame, and the slide rail extends along the direction of the transverse detector, and the transverse detector is arranged to move along the slide rail.

[0004] The application aims to solve the problem that "existing equipment cannot conveniently and efficiently perform batch inspections on containers at docks or cargo yards".

[0005] However, the existing technology usually focuses on the inspection of cargo in containers. Compared with the container itself, defects in the external structure of the container are likely to cause stacking accidents, cargo damage and other problems.

[0006] Therefore, a rapid inspection system for port containers is proposed. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a rapid inspection system for port containers, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] A rapid inspection system for port containers, comprising:

[0010] The camera module is used to collect container surface image data and store the container surface image data; the storage module is used to upload qualified container surface image data, mark the qualified container surface image data, and store the marked qualified container surface image data after marking; the retrieval module is used to retrieve the container surface image data stored in the camera module and the qualified container surface image data stored in the storage module; the analysis module is used to receive the container surface image data retrieved from the retrieval module and analyze the similarity of the container surface image data; the judgment module is used to set a risk judgment interval, and based on the similarity analysis result in the analysis module, compare with the risk judgment interval to determine whether there is a safety risk in the container.

[0011] Furthermore, the camera module is provided with several groups. Before the container performs surface image data collection, the container is moved to a specified position with a specified posture by a handling device, so that each time the container performs surface image data collection, the image data collection is performed based on the same posture and position. The camera module is provided with sub-modules at the lower level, including:

[0012] A marking unit, used to obtain the container surface image data collected by the camera module and mark the container surface image data;

[0013] Among them, the marking content of the container surface image data operated by the marking unit includes text information of corner fittings, fasteners, and surface words. After the container surface image data is marked, the marked container surface image data is stored in any camera module.

[0014] Furthermore, the qualified container surface image data uploaded to the storage module is manually uploaded by a system end user, and the qualified container surface image data is sourced from unused containers that have passed inspection, and when the qualified container surface image data is marked, the marking content is the same as the marking content of the container surface image data collected by the camera module;

[0015] Among the qualified container surface image data stored in the storage module, each qualified container surface image data with the same marking content is composed of several groups, and the collection angles of the several groups of qualified container surface image data with the same marking are different.

[0016] Furthermore, the calling module is internally provided with submodules, including:

[0017] A processing unit, used for receiving the container surface image data retrieved by the retrieval module, and optimizing the container surface image data;

[0018] The recognition unit is used to traverse the marking content of the container surface image data received by the processing unit, and control the retrieval module to retrieve qualified container surface image data with the same marking content in the storage module according to the traversed marking content;

[0019] Among them, during the operation phase of the retrieval module, the container surface image data stored in the camera module is first retrieved, and the retrieval operation uses any kind of marking content as the retrieval target, and retrieves the container surface image data of all corresponding marking contents in the camera module and uses it as the processing unit processing target.

[0020] Furthermore, after the camera module collects the container surface image data and the qualified container surface image data is uploaded to the storage module, the container surface image data is synchronously segmented to retain only the image data of the container part of the container surface image data;

[0021] The processing of the container surface image data in the processing unit includes grayscale image conversion and contour extraction:

[0022] Obtain container surface image data from the camera module, identify whether the marking content of each container surface image data is consistent, and identify whether the marking content of each container surface image data is inconsistent with the marking content of the container surface image data that has not been retrieved from the camera module;

[0023] When both recognition results are yes, the container surface image data is converted into a grayscale image, a contour pixel extraction interval is set, and pixels that meet the contour pixel extraction interval are captured in the container surface image data converted into a grayscale image;

[0024] The edge pixels in the pixel set extracted from each container surface image data are used as contour pixels, and the container contour in the container surface image data is determined based on the contour pixels.

[0025] Furthermore, in the similarity analysis phase of the container surface image data in the analysis module, the container outline and the qualified container surface image data are used as the targets of the mutual similarity analysis to perform the analysis operation, and the analysis logic is expressed as follows:

[0026]

[0027] Where: S is the similarity performance value between the container outline and the qualified container surface image data; A overlap A is the overlapping area between the container outline and the outline of the qualified container surface image data; C , A P L is the area defined by the container outline and the area of ​​qualified container surface image data; C , LP is the length of the container outline and the outline length of the qualified container surface image data; min(A C ,A P ) means taking the minimum value in brackets; max(L C ,L P ) means taking the maximum value in brackets; ω1 and ω2 are weights; S norr is the similarity performance value between the final output container outline and the qualified container surface image data; MAX(S i ,S i+1 ,S i+2 ,...) is to take the maximum value in the brackets;

[0028] Among them, the weights ω1 and ω2 are both greater than zero, the sum of the weights ω1 and ω2 is 1, and the values ​​of the weights ω1 and ω2 are customized by the system end user. Based on formula (1), the similarity performance value between each qualified container surface image data and the container contour is obtained, which is denoted as S i , S i+1 , S i+2 ,....

[0029] Furthermore, the similarity analysis logic between the container outline and the qualified container surface image data also includes:

[0030]

[0031] Where: k is the total amount of vectors obtained by extracting feature descriptors using the Fourier descriptor method from the container outline and qualified container surface image data; f Cj 、f Pj is the value of the jth vector in the container contour, and the value of the jth vector in the contour corresponding to the qualified container surface image data;

[0032] Among them, after obtaining S based on the above formula, we can also use MAX(S i ,S i+1 ,S i+2 ,...) to obtain S norr When the container outline and the qualified container surface image data correspond to corner fittings and fasteners, the preferred When S is obtained and the corresponding marking content of the container contour and the qualified container surface image data is the surface, the preferred method is Find S.

[0033] Furthermore, the determination module is provided with submodules at a lower level, including:

[0034] A message unit, used for receiving the determination result of the determination module and generating a container inspection message based on the determination result;

[0035] An output unit, used for outputting the container inspection message outputted from the message unit;

[0036] Among them, the risk judgment interval set in the judgment module is customized by the system end user, the message unit is connected to the mobile computer device held by the system end user, and the mobile computer is used as the transmission target to transmit the container inspection message to the mobile computer device. The system end user reads the container inspection message on the mobile computer device.

[0037] Furthermore, the container inspection message includes: whether the container is safe, and the source of container risks;

[0038] The similarity analysis result in the determination module is within the risk determination interval, and the container is determined to be unsafe. The container inspection message includes the determination result of whether the container is safe and the container surface image data from which the similarity analysis result used when determining that the container is unsafe is derived;

[0039] The similarity analysis result in the determination module is not within the risk determination interval, and the container is determined to be safe, and the container inspection message only includes the determination result of whether the container is safe;

[0040] Among them, when the similarity calculation results corresponding to any one or more surface image data from the same container are within the risk determination interval, the container is determined to be unsafe.

[0041] Furthermore, the camera module is interactively connected to a marking unit via a wireless network, the camera module is interactively connected to a storage module and a retrieval module via a wireless network, the retrieval module is interactively connected to a processing unit and an identification unit via a wireless network, the retrieval module is interactively connected to an analysis module and a determination module via a wireless network, and the determination module is interactively connected to a message unit and an output unit at a lower level via a wireless network.

[0042] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0043] The present invention provides a rapid inspection system for port containers. During operation, the system collects container surface image data through a camera, and compares uploaded priori images with the collected container surface image data to determine whether there are defects on the container surface, thereby further generating an inspection message to feed back to system-side users. The actual situation of the container can be reflected to the system-side users more quickly, ensuring that the container is safer during transportation and circulation, and thereby greatly reducing the demand for labor costs for container appearance inspection work. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0045] Figure 1 The figure is a schematic diagram of the structure of a rapid inspection system for port containers. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] The present invention will be further described below in conjunction with the embodiments.

[0048] Example:

[0049] A rapid inspection system for a port container in this embodiment is as follows: Figure 1 As shown, including:

[0050] A camera module is used to collect and store container surface image data;

[0051] The camera module is provided with several groups. Before the container performs surface image data collection, the container is moved to the specified position with a specified posture by a handling device, so that each time the container performs surface image data collection, the image data collection is performed based on the same posture and position. The camera module is provided with sub-modules at the lower level, including:

[0052] A marking unit, used to obtain the container surface image data collected by the camera module and mark the container surface image data;

[0053] The marking unit runs to mark the container surface image data including text information of corner fittings, fasteners, and surface words. After the container surface image data is marked, the marked container surface image data is stored in any camera module.

[0054] A storage module, used for uploading qualified container surface image data, marking the qualified container surface image data, and storing the marked qualified container surface image data after the marking is completed;

[0055] A retrieval module, used to retrieve the container surface image data stored in the camera module and the qualified container surface image data stored in the storage module;

[0056] The calling module has submodules inside, including:

[0057] A processing unit, used for receiving the container surface image data retrieved by the retrieval module, and optimizing the container surface image data;

[0058] The recognition unit is used to traverse the marking content of the container surface image data received by the processing unit, and control the retrieval module to retrieve qualified container surface image data with the same marking content in the storage module according to the traversed marking content;

[0059] Among them, the retrieval module operation phase first retrieves the container surface image data stored in the camera module, and the retrieval operation uses any kind of marking content as the retrieval target, retrieves the container surface image data of all corresponding marking contents in the camera module, and uses them as the processing unit processing target;

[0060] After the camera module collects the container surface image data and the storage module uploads the qualified container surface image data, it simultaneously divides the container surface image data and only retains the image data of the container part in the container surface image data;

[0061] The processing of container surface image data in the processing unit includes grayscale image conversion and contour extraction:

[0062] Obtain container surface image data from the camera module, identify whether the marking content of each container surface image data is consistent, and identify whether the marking content of each container surface image data is inconsistent with the marking content of the container surface image data that has not been retrieved from the camera module;

[0063] When both recognition results are yes, the container surface image data is converted into a grayscale image, a contour pixel extraction interval is set, and pixels that meet the contour pixel extraction interval are captured in the container surface image data converted into a grayscale image;

[0064] The edge pixels in the pixel set extracted from each container surface image data are used as contour pixels, and the container contour in the container surface image data is determined based on the contour pixels;

[0065] An analysis module, used to receive the container surface image data retrieved by the retrieval module and analyze the similarity of the container surface image data;

[0066] In the similarity analysis phase of container surface image data in the analysis module, the container outline and qualified container surface image data are used as the target of mutual similarity analysis to perform analysis operations. The analysis logic is expressed as follows:

[0067]

[0068] Where: S is the similarity performance value between the container outline and the qualified container surface image data; A overlap A is the overlapping area between the container outline and the outline of the qualified container surface image data; C , A P L is the area defined by the container outline and the area of ​​qualified container surface image data; C , L P is the length of the container outline and the outline length of the qualified container surface image data; min(A C ,A P ) means taking the minimum value in brackets; max(L C ,L P ) means taking the maximum value in brackets; ω1 and ω2 are weights; S norr is the similarity performance value between the final output container outline and the qualified container surface image data; MAX(S i ,S i+1 ,S i+2 ,...) is to take the maximum value in the brackets;

[0069] Among them, the weights ω1 and ω2 are both greater than zero, the sum of the weights ω1 and ω2 is 1, and the values ​​of the weights ω1 and ω2 are customized by the system end user. Based on formula (1), the similarity performance value between each qualified container surface image data and the container contour is obtained, which is denoted as S i , S i+1 , S i+2 ,...;

[0070] The similarity analysis logic between the container outline and the qualified container surface image data also includes:

[0071]

[0072] Where: k is the total amount of vectors obtained by extracting feature descriptors using the Fourier descriptor method from the container outline and qualified container surface image data; f Cj 、f Pj is the value of the jth vector in the container contour, and the value of the jth vector in the contour corresponding to the qualified container surface image data;

[0073] Among them, after obtaining S based on the above formula, we can also use MAX(S i ,S i+1,S i+2 ,...) to obtain S norr , when the corresponding marking content of the container outline and the qualified container surface image data is corner fittings and fasteners, it is preferred to use When obtaining S, the corresponding marking content of the container contour and the qualified container surface image data is the surface, the preferred Find S;

[0074] Through the above logic formula, the similarity between the container outline and the qualified container surface image data is further calculated, so as to ensure the further operation of the above system, determine the unqualified containers and output the source of the unqualified determination results.

[0075] A determination module is used to set a risk determination interval and compare the similarity analysis result in the analysis module with the risk determination interval to determine whether there is a safety risk for the container;

[0076] The judgment module is provided with submodules at the lower level, including:

[0077] A message unit, used for receiving the determination result of the determination module and generating a container inspection message based on the determination result;

[0078] An output unit, used for outputting the container inspection message outputted from the message unit;

[0079] The risk determination interval set in the determination module is customized by the system end user, the message unit is connected to the mobile computer device held by the system end user, and the mobile computer is used as the transmission target to transmit the container inspection message to the mobile computer device, and the system end user reads the container inspection message on the mobile computer device;

[0080] The camera module is interactively connected with a marking unit via a wireless network, the camera module is interactively connected with a storage module and a retrieval module via a wireless network, the retrieval module is interactively connected with a processing unit and a recognition unit via a wireless network, the retrieval module is interactively connected with an analysis module and a determination module via a wireless network, and the determination module is interactively connected with a message unit and an output unit at its lower level via a wireless network.

[0081] In this embodiment, the camera module operates to collect container surface image data and stores the container surface image data. The marking unit synchronously obtains the container surface image data collected by the camera module and marks the container surface image data. The storage module further uploads qualified container surface image data and marks the qualified container surface image data. After the marking is completed, the qualified container surface image data with the mark is stored. The retrieval module is post-operated to retrieve the container surface image data stored in the camera module and the qualified container surface image data stored in the storage module. The processing unit synchronously receives the container surface image data retrieved by the retrieval module and performs the processing on the container surface image data. The optimization processing is performed, the recognition unit traverses the marking content of the container surface image data received by the processing unit in real time, and controls the retrieval module to retrieve qualified container surface image data with the same marking content in the storage module according to the traversed marking content. The analysis module then receives the container surface image data retrieved from the retrieval module, analyzes the similarity of the container surface image data, and finally sets the risk determination interval through the determination module. Based on the similarity analysis result in the analysis module, it is compared with the risk determination interval to determine whether there is a safety risk in the container. The message unit synchronously receives the determination result of the determination module, generates a container inspection message based on the determination result, and the output unit outputs the container inspection message output from the message unit in real time.

[0082] Through the operation of the system in the above embodiment, a new intelligent inspection service is provided for the appearance inspection of port containers, which ensures the safety of the container structure and enables more stable and safe transportation and circulation.

[0083] like Figure 1 As shown, the qualified container surface image data uploaded to the storage module is manually uploaded by the system end user, and the qualified container surface image data comes from unused containers that have passed the inspection. When marking the qualified container surface image data, the marking content is the same as the marking content of the container surface image data collected by the camera module;

[0084] Among the qualified container surface image data stored in the storage module, each qualified container surface image data with the same marking content is composed of several groups, and the collection angles of the several groups of qualified container surface image data with the same marking are different.

[0085] Through the above settings, the collection logic of the container surface image data is further limited, and the source of the uploaded qualified container surface image data is limited, which provides necessary operation data support for the operation of the system in the above embodiment.

[0086] like Figure 1As shown, the contents of the container inspection message include: whether the container is safe, the source of container risks;

[0087] The similarity analysis result in the determination module is within the risk determination interval, and the container is determined to be unsafe. The container inspection message includes the determination result of whether the container is safe and the container surface image data from which the similarity analysis result used when determining that the container is unsafe is derived;

[0088] The similarity analysis result in the determination module is not within the risk determination interval, and the container is determined to be safe. The container inspection message only contains the determination result of whether the container is safe;

[0089] Among them, when the similarity calculation results corresponding to any one or more surface image data from the same container are within the risk determination interval, the container is determined to be unsafe.

[0090] Through the above settings, the determination module of the system in this embodiment is further limited in operation logic to ensure the output system operation result of the determination module in the system to operate stably.

[0091] In summary, during operation, the system in the above embodiment collects container surface image data through a camera, and compares the uploaded prior image with the collected container surface image data to determine whether there are defects on the container surface, thereby further generating an inspection message to provide feedback to the system end user, which can more quickly reflect the actual situation of the container to the system end user, ensure that the container is safer during transportation and circulation, and thereby greatly reduce the demand for labor costs for container appearance inspection work.

[0092] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A rapid inspection system for port containers, characterized in that: include: A camera module is used to collect and store container surface image data; A storage module, used for uploading qualified container surface image data, marking the qualified container surface image data, and storing the marked qualified container surface image data after the marking is completed; A retrieval module, used to retrieve the container surface image data stored in the camera module and the qualified container surface image data stored in the storage module; An analysis module, used to receive the container surface image data retrieved by the retrieval module and analyze the similarity of the container surface image data; The determination module is used to set the risk determination interval and compare the similarity analysis results in the analysis module with the risk determination interval to determine whether there is a safety risk for the container.

2. A rapid inspection system for port containers according to claim 1, characterized in that: The camera module is provided with several groups. Before the container performs surface image data collection, the container is moved to a specified position with a specified posture by a handling device, so that each time the container performs surface image data collection, the image data collection is performed based on the same posture and position. The camera module is provided with submodules at the lower level, including: A marking unit, used to obtain the container surface image data collected by the camera module and mark the container surface image data; Among them, the marking content of the container surface image data operated by the marking unit includes text information of corner fittings, fasteners, and surface words. After the container surface image data is marked, the marked container surface image data is stored in any camera module.

3. A rapid inspection system for port containers according to claim 1, characterized in that: The qualified container surface image data uploaded to the storage module is manually uploaded by a system end user, and the qualified container surface image data is sourced from unused containers that have passed inspection. When the qualified container surface image data is marked, the marking content is the same as the marking content of the container surface image data collected by the camera module; Among the qualified container surface image data stored in the storage module, each qualified container surface image data with the same marking content is composed of several groups, and the collection angles of the several groups of qualified container surface image data with the same marking are different.

4. A rapid inspection system for port containers according to claim 1, characterized in that: The calling module is internally provided with submodules, including: A processing unit, used for receiving the container surface image data retrieved by the retrieval module, and optimizing the container surface image data; The recognition unit is used to traverse the marking content of the container surface image data received by the processing unit, and control the retrieval module to retrieve qualified container surface image data with the same marking content in the storage module according to the traversed marking content; Among them, during the operation phase of the retrieval module, the container surface image data stored in the camera module is first retrieved, and the retrieval operation uses any kind of marking content as the retrieval target, and retrieves the container surface image data of all corresponding marking contents in the camera module and uses it as the processing unit processing target.

5. A rapid inspection system for port containers according to claim 4, characterized in that: After the camera module collects the container surface image data and the storage module uploads the qualified container surface image data, the camera module synchronously divides the container surface image data and only retains the image data of the container part in the container surface image data; The processing of the container surface image data in the processing unit includes grayscale image conversion and contour extraction: Obtain container surface image data from the camera module, identify whether the marking content of each container surface image data is consistent, and identify whether the marking content of each container surface image data is inconsistent with the marking content of the container surface image data that has not been retrieved from the camera module; When both recognition results are yes, the container surface image data is converted into a grayscale image, a contour pixel extraction interval is set, and pixels that meet the contour pixel extraction interval are captured in the container surface image data converted into a grayscale image; The edge pixels in the pixel set extracted from each container surface image data are used as contour pixels, and the container contour in the container surface image data is determined based on the contour pixels.

6. A rapid inspection system for port containers according to claim 1, characterized in that: In the similarity analysis phase of the container surface image data in the analysis module, the container outline and the qualified container surface image data are used as the target of the mutual similarity analysis to perform the analysis operation. The analysis logic is expressed as follows: Where: S is the similarity performance value between the container outline and the qualified container surface image data; A overlap A is the overlapping area between the container outline and the outline of the qualified container surface image data; C , A P L is the area defined by the container outline and the area of ​​qualified container surface image data; C , L P is the length of the container outline and the outline length of the qualified container surface image data; min(A C ,A P ) means taking the minimum value in brackets; max(L C ,L P ) means taking the maximum value in brackets; ω1 and ω2 are weights; S norr is the similarity performance value between the final output container outline and the qualified container surface image data; MAX(S i ,S i+1 ,S i+2 ,...) is to take the maximum value in the brackets; Among them, the weights ω1 and ω2 are both greater than zero, the sum of the weights ω1 and ω2 is 1, and the values ​​of the weights ω1 and ω2 are customized by the system end user. Based on formula (1), the similarity performance value between each qualified container surface image data and the container contour is obtained, which is denoted as S i , S i+1 , S i+2 ,....

7. A rapid inspection system for port containers according to claim 6, characterized in that: The similarity analysis logic between the container outline and the qualified container surface image data also includes: Where: k is the total amount of vectors obtained by extracting feature descriptors using the Fourier descriptor method from the container outline and qualified container surface image data; f Cj 、f Pj is the value of the jth vector in the container contour, and the value of the jth vector in the contour corresponding to the qualified container surface image data; Among them, after obtaining S based on the above formula, we can also use MAX(S i ,S i+1 ,S i+2 ,...) to obtain S norr When the container outline and the qualified container surface image data correspond to corner fittings and fasteners, the preferred When S is obtained and the corresponding marking content of the container contour and the qualified container surface image data is the surface, the preferred method is Find S.

8. A rapid inspection system for port containers according to claim 1, characterized in that: The determination module is provided with submodules at the lower level, including: A message unit, used for receiving the determination result of the determination module and generating a container inspection message based on the determination result; An output unit, used for outputting the container inspection message outputted from the message unit; Among them, the risk judgment interval set in the judgment module is customized by the system end user, the message unit is connected to the mobile computer device held by the system end user, and the mobile computer is used as the transmission target to transmit the container inspection message to the mobile computer device. The system end user reads the container inspection message on the mobile computer device.

9. A rapid inspection system for port containers according to claim 8, characterized in that: The container inspection message includes: whether the container is safe and the source of container risks; The similarity analysis result in the determination module is within the risk determination interval, and the container is determined to be unsafe. The container inspection message includes the determination result of whether the container is safe and the container surface image data from which the similarity analysis result used when determining that the container is unsafe is derived; The similarity analysis result in the determination module is not within the risk determination interval, and the container is determined to be safe, and the container inspection message only includes the determination result of whether the container is safe; Among them, when the similarity calculation results corresponding to any one or more surface image data from the same container are within the risk determination interval, the container is determined to be unsafe.

10. A rapid inspection system for port containers according to claim 1, characterized in that: The camera module is interactively connected with a marking unit via a wireless network, the camera module is interactively connected with a storage module and a retrieval module via a wireless network, the retrieval module is interactively connected with a processing unit and an identification unit via a wireless network, the retrieval module is interactively connected with an analysis module and a determination module via a wireless network, and the determination module is interactively connected with a message unit and an output unit at its lower level via a wireless network.

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