A comprehensive monitoring and management system for safe construction of smart seaports

Abstract

The present invention relates to the technical field of seaport management, and in particular to a comprehensive monitoring and management system for safe construction of smart seaports, comprising: a camera module for collecting dynamic target image data of passage and activities at seaport entrances and exits and in seaport areas; a creation module for traversing the dynamic target image data collected in the camera module, and creating a dynamic target tracking directory based on the marking information of the dynamic target image data; a tracking module for selecting a tracking target in the dynamic target tracking directory and obtaining the latest position of the tracking target; the present invention uses image recognition technology to capture dynamic targets entering the seaport, namely staff and logistics goods in real time, and then recognizes the similarity of the captured dynamic target image data, so as to realize real-time positioning of the dynamic targets entering the seaport, thereby ultimately realizing real-time comprehensive management of staff and logistics goods inside the seaport, and providing more reliable safety management conditions for the seaport.

Description

Technical Field

[0001] The present invention relates to the technical field of seaport management, and in particular to a comprehensive monitoring and management system for safe construction of smart seaports. Background Art

[0002] The safety construction of seaports is of vital importance. It is committed to creating a safe and stable port environment, ensuring the safety of cargo transportation and the safety of people's lives and property by strengthening security measures and improving emergency response capabilities. At the same time, it actively carries out safety training and publicity to enhance the safety awareness of all employees and build a solid security line for the prosperity and development of the seaport.

[0003] The invention patent with application number 202210800037.7 discloses an intelligent fishing port supervision system based on digital twins, which is characterized by including: a physical monitoring system, a digital twin management and control system, an AI algorithm and a storage system; the physical monitoring system: includes a panoramic video shooting device, an AIS device, a radar scanning device, and a data cache and transmission module; the panoramic video shooting device obtains 360-degree panoramic monitoring data in real time and starts the telephoto camera on demand to obtain high-definition local video data; the AIS device obtains fishing boat status information in real time; the radar scanning device obtains three-dimensional spatial information of fishing ports and fishing boats in real time; the digital twin management and control platform includes: a three-dimensional simulation module, a data display module, a data buffer module, a control response module, a The collection and transmission module should be combined with the concept of digital twins and three-dimensional simulation to build and simulate models of fishing ports and fishing boats, so as to intelligently supervise and fully record the actual operation of the entire fishing port and fishing boats in a digital visualization way; AI algorithm and storage system, including: fishing boat detection and tracking model, ship license plate recognition model, data storage module, data analysis model, and calculation module; the panoramic video shooting device periphery includes multiple optical cameras, and the optical center of each lens coincides with the reverse extension line of its focus at one point, so as to achieve the effect of 360-degree rapid and simultaneous shooting, constituting a panoramic shooting sub-module. A telephoto camera controlled by a camera gimbal is installed under the panoramic shooting sub-module to realize long-distance shooting. The panoramic video shooting device is composed of the panoramic shooting sub-module and the telephoto camera.

[0004] The application aims to solve the problem that "the current fishing port supervision system mainly uses screen splicing to display the entry and exit of fishing ports and fishing vessels. Such a fishing port supervision system is not intuitive, timely and intelligent. It seriously affects the efficiency of fishing port supervision and the inspection of safety hazards of fishing vessels. Therefore, there is room for improvement."

[0005] However, the management of seaports mainly relies on the dynamic monitoring of staff and logistics goods. Currently, there is no real-time technology that can obtain real-time location information of staff or logistics goods inside the seaport.

[0006] To this end, we propose a comprehensive monitoring and management system for the safe construction of smart seaports. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a comprehensive monitoring and management system for the safe construction of smart seaports, 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 comprehensive monitoring and management system for safe construction of smart seaports, including:

[0010] Camera module, used to collect dynamic target image data of traffic and activities at the port entrance and exit and in the port area;

[0011] The camera modules are provided in several groups, and the camera modules are evenly deployed in the seaport area. The camera modules are evenly deployed in an elliptical shape at the entrance and exit of the seaport. Sub-modules are provided inside the camera modules, including:

[0012] A storage unit, used for receiving dynamic target image data collected by the camera module and storing the dynamic target image data;

[0013] Wherein, when the storage unit stores the dynamic target image data, it performs differentiated storage based on the source of the dynamic target image data collection, so that the dynamic target image data collected by the camera module deployed at the entrance and exit of the seaport and the dynamic target image data collected by the camera module deployed in the seaport area are differentiated and stored in different storage intervals, and each dynamic target image data in the storage interval is further differentiated and stored based on its source dynamic target. After the dynamic target image data in the storage unit is differentiated and stored for the first time, it is synchronously configured with a distinguishing mark with a digital number and text information;

[0014] A creation module is used to traverse the dynamic target image data collected in the camera module and create a dynamic target tracking directory based on the marking information of the dynamic target image data;

[0015] When creating the dynamic target tracking directory, the creation module sorts the dynamic target image data collected in the traversal camera module based on the acquisition timestamps;

[0016] Among them, when the dynamic target image data corresponding to the dynamic target leaves the seaport area, the system end user synchronously records the corresponding marking information of the dynamic target leaving the seaport area to create a non-dynamic target tracking directory, and periodically feeds back the non-dynamic target tracking directory to the creation module. The creation module recognizes the intersection of the dynamic target tracking directory and the non-dynamic target tracking directory in real time, and uses the part other than the intersection of the two groups of directories as the new dynamic target tracking directory to complete the update of the dynamic target tracking directory;

[0017] The tracking module is used to select the tracking target in the dynamic target tracking directory and obtain the latest position of the tracking target; the receiving module is used to receive the latest position of the tracking target obtained by the tracking module; the control unit is used to control the tracking module and the receiving module to run repeatedly; the output module is used to obtain the latest position of the tracking target received by the receiving module and output the latest position of the tracking target in real time.

[0018] Furthermore, after collecting the dynamic target image data, the camera module synchronously identifies the grayscale value of each pixel in the dynamic target image data, sums and averages the grayscale value of each pixel to obtain the average grayscale value of the dynamic target image data, further sets a judgment threshold and compares it with the average grayscale value of the dynamic target image data to judge whether the dynamic target image data is a bright image or a dark image. When the dynamic target image data is a dark image, the dynamic target image data is optimized and the original dynamic target image data is iterated with the optimized dynamic target image data.

[0019] Furthermore, the optimization processing logic of the dynamic target image data is expressed as:

[0020] ;

[0021] Where: The adjustment result of pixel i in the dynamic target image data output after optimization processing; is the brightness value of pixel i in the dynamic target image data; is the brightness adjustment coefficient; is the average brightness value of the dynamic target image data; is the target contrast factor; is the brightness standard deviation of dynamic target image data;

[0022] Among them, each pixel in the original dynamic target image data is processed based on the above formula to output the optimized dynamic target image data, is the pixel value after brightness adjustment and contrast enhancement. , It is the target brightness value customized by the system user.

[0023] Furthermore, the tracking module is provided with submodules at the lower level, including:

[0024] A selection unit is used to traverse the dynamic target tracking directory created by the creation module and select the marking information in the dynamic target tracking directory as the tracking target;

[0025] The recognition unit is used to obtain the dynamic target image in the dynamic target image data storage interval collected by the camera module deployed at the entrance and exit of the seaport corresponding to the tracking target, and to recognize similar dynamic target image data in the dynamic target image data storage interval collected by the camera module deployed in the seaport area;

[0026] Among them, when the selection unit runs to select marking information as the tracking target, the number of selected marking information is not less than one group and not more than five groups. When the recognition unit runs to recognize similar dynamic target image data, the two groups of dynamic target image data with the highest similarity are used as the final recognition result. The receiving module receives the final recognition result of the recognition unit during the operation stage, and obtains the dynamic target image data source camera module corresponding to the final recognition result. Further, based on the timestamp of the dynamic target image data collected by the camera module, the deployment position of the camera module corresponding to the group of dynamic target image data with the most recent collection timestamp is used as the latest position of the tracking target.

[0027] Furthermore, the similarity recognition logic of the dynamic target image data is expressed as:

[0028] ;

[0029] Where: is the similarity of two sets of dynamic target image data; The similarity between two groups of dynamic target image data based on the area level; The similarity between two sets of dynamic target image data based on the perimeter level; , is the i-th Hu moment of two sets of dynamic target image data;

[0030] Among them, the similarity of the two sets of dynamic target image data The larger the value, the more similar the two sets of dynamic target image data are; conversely, the smaller the value, the less similar the two sets of dynamic target image data are.

[0031] Furthermore, the similarity of two sets of dynamic target image data based on the area level is: the ratio of the contour image area in the dynamic target image data with a smaller contour image area to the contour image area in the dynamic target image data with a larger contour image area in the two sets of dynamic target image data;

[0032] Similarity between two sets of dynamic target image data based on circumference It is: the ratio of the contour image perimeter in the dynamic target image data with a smaller contour image perimeter to the contour image perimeter in the dynamic target image data with a larger contour image perimeter in the two groups of dynamic target image data.

[0033] Furthermore, a continuous operation cycle is customized by a system user in the control unit, and the control unit controls the tracking module and the receiving module to run repeatedly based on the set continuous operation cycle, and the output module runs synchronously with the receiving module.

[0034] Furthermore, the camera module is interactively connected to a storage unit via a wireless network, the camera module and the storage unit are interactively connected to a creation module via a wireless network, the creation module is interactively connected to a tracking module via a wireless network, the tracking module is interactively connected to a selection unit and an identification unit via a wireless network, the selection unit is interactively connected to the creation module via a wireless network, the tracking module is interactively connected to a receiving module, a control unit and an output module via a wireless network, the control unit is interactively connected to the tracking module via a wireless network, and the receiving module is interactively connected to the output module via a wireless network.

[0035] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0036] The present invention provides a comprehensive monitoring and management system for the safe construction of a smart seaport. During operation, the system uses image recognition technology to capture dynamic targets entering the seaport, namely staff and logistics goods in real time, and then recognizes the similarity of the captured dynamic target image data to achieve real-time positioning of the dynamic targets entering the seaport, thereby ultimately achieving real-time comprehensive management of the staff and logistics goods inside the seaport, providing more reliable safety management conditions for the seaport. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. 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.

[0038] Figure 1 The schematic diagram is a structural diagram of a comprehensive monitoring and management system for safe construction of smart seaports. DETAILED DESCRIPTION

[0039] 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.

[0040] The present invention will be further described below in conjunction with the embodiments.

[0041] Embodiment 1:

[0042] A comprehensive monitoring and management system for safe construction of a smart seaport in this embodiment, such as Figure 1 As shown, including:

[0043] Camera module, used to collect dynamic target image data of traffic and activities at the port entrance and exit and in the port area;

[0044] The camera module is provided with several groups, and the several groups of camera modules are evenly deployed in the seaport area, and the several groups of camera modules are equidistantly deployed in an elliptical surrounding shape at the entrance and exit of the seaport. The camera module is provided with sub-modules, including:

[0045] A storage unit, used for receiving dynamic target image data collected by the camera module and storing the dynamic target image data;

[0046] Wherein, when the storage unit stores the dynamic target image data, it performs differentiated storage based on the source of the dynamic target image data collection, so that the dynamic target image data collected by the camera module deployed at the entrance and exit of the seaport and the dynamic target image data collected by the camera module deployed in the seaport area are differentiated and stored in different storage intervals, and each dynamic target image data in the storage interval is further differentiated and stored based on its source dynamic target. After the dynamic target image data in the storage unit is differentiated and stored for the first time, it is synchronously configured with a distinguishing mark with a digital number and text information;

[0047] A creation module is used to traverse the dynamic target image data collected in the camera module and create a dynamic target tracking directory based on the marking information of the dynamic target image data;

[0048] The tracking module is used to select the tracking target in the dynamic target tracking directory and obtain the latest position of the tracking target;

[0049] The tracking module is divided into submodules, including:

[0050] A selection unit is used to traverse the dynamic target tracking directory created by the creation module and select the marking information in the dynamic target tracking directory as the tracking target;

[0051] The recognition unit is used to obtain the dynamic target image in the dynamic target image data storage interval collected by the camera module deployed at the entrance and exit of the seaport corresponding to the tracking target, and to recognize similar dynamic target image data in the dynamic target image data storage interval collected by the camera module deployed in the seaport area;

[0052] Among them, when the selection unit runs to select the marking information as the tracking target, the number of the selected marking information is not less than one group and not more than five groups. When the recognition unit runs to recognize similar dynamic target image data, the two groups of dynamic target image data with the highest similarity are used as the final recognition result. The final recognition result of the recognition unit received by the receiving module during the operation stage is obtained from the camera module corresponding to the dynamic target image data source of the final recognition result. Further, based on the timestamp of the dynamic target image data collected by the camera module, the deployment position of the camera module corresponding to the group of dynamic target image data with the most recent collection timestamp is used as the latest position of the tracking target.

[0053] The similarity recognition logic of dynamic target image data is expressed as:

[0054] ;

[0055] Where: is the similarity of two sets of dynamic target image data; The similarity between two groups of dynamic target image data based on the area level; The similarity between two sets of dynamic target image data based on the perimeter level; , is the i-th Hu moment of two sets of dynamic target image data;

[0056] Among them, the similarity of the two sets of dynamic target image data The larger the value is, the more similar the two sets of dynamic target image data are; conversely, the smaller the value is, the more dissimilar the two sets of dynamic target image data are.

[0057] Similarity between two sets of dynamic target image data based on area level is: the ratio of the contour image area in the dynamic target image data with a smaller contour image area to the contour image area in the dynamic target image data with a larger contour image area in the two sets of dynamic target image data;

[0058] Similarity between two sets of dynamic target image data based on circumference is: the ratio of the contour image perimeter in the dynamic target image data with a smaller contour image perimeter to the contour image perimeter in the dynamic target image data with a larger contour image perimeter in the two sets of dynamic target image data;

[0059] A receiving module is used to receive the latest position of the tracking target obtained by the tracking module;

[0060] A control unit, used to control the tracking module and the receiving module to run repeatedly;

[0061] The output module is used to obtain the latest position of the tracking target received by the receiving module and output the latest position of the tracking target in real time;

[0062] The camera module is interactively connected with a storage unit via a wireless network. The camera module and the storage unit are interactively connected with a creation module via a wireless network. The creation module is interactively connected with a tracking module via a wireless network. The tracking module is interactively connected with a selection unit and an identification unit via a wireless network. The selection unit is interactively connected with the creation module via a wireless network. The tracking module is interactively connected with a receiving module, a control unit and an output module via a wireless network. The control unit is interactively connected with the tracking module via a wireless network. The receiving module is interactively connected with the output module via a wireless network.

[0063] In this embodiment, the camera module operates to collect dynamic target image data of passage and activities at the port entrance and exit and in the port area, the storage unit synchronously receives the dynamic target image data collected by the camera module, stores the dynamic target image data, the creation module post-operates to traverse the dynamic target image data collected in the camera module, creates a dynamic target tracking directory based on the marking information of the dynamic target image data, the tracking module further selects the tracking target in the dynamic target tracking directory, obtains the latest position of the tracking target, the selection unit synchronously traverses the dynamic target tracking directory created by the creation module, selects the marking information as the tracking target in the dynamic target tracking directory, the identification unit obtains the dynamic target image in the storage interval of the dynamic target image data collected by the camera module deployed at the port entrance and exit in real time, identifies similar dynamic target image data in the storage interval of the dynamic target image data collected by the camera module deployed in the port area, and then receives the latest position of the tracking target obtained by the tracking module operation by the receiving module, the control unit operates to control the tracking module and the receiving module to operate repeatedly, and finally obtains the latest position of the tracking target received by the receiving module operation through the output module, and outputs the latest position of the tracking target in real time.

[0064] Through the operation of the system in the above embodiment, a safe, intelligent, comprehensive and real-time integrated monitoring and management service is provided to the seaport, ensuring that the staff and logistics goods in the seaport can be monitored in real time;

[0065] It should be noted that the above-mentioned marking information refers to the digital number and text information corresponding to the dynamic target image data;

[0066] The creation module creates a dynamic target tracking directory based on the marking information of the dynamic target image data. The resulting dynamic target tracking directory is an unordered but determined data set. After sorting the items in the data set based on the acquisition timestamp of the dynamic target image data, the unordered data set is finally transformed into a usable ordered dynamic target tracking directory.

[0067] Embodiment 2:

[0068] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The integrated monitoring and management system for safe construction of a smart seaport in Example 1 is further described in detail:

[0069] After acquiring the dynamic target image data, the camera module synchronously identifies the grayscale value of each pixel in the dynamic target image data, sums and averages the grayscale values ​​of each pixel to obtain the average grayscale value of the dynamic target image data, further sets a determination threshold and compares it with the average grayscale value of the dynamic target image data to determine whether the dynamic target image data is a bright image or a dark image. When the dynamic target image data is a dark image, the dynamic target image data is optimized and the original dynamic target image data is iterated with the optimized dynamic target image data;

[0070] The optimization processing logic of dynamic target image data is expressed as:

[0071] ;

[0072] Where: The adjustment result of pixel i in the dynamic target image data output after optimization processing; is the brightness value of pixel i in the dynamic target image data; is the brightness adjustment coefficient; is the average brightness value of the dynamic target image data; is the target contrast factor; is the brightness standard deviation of dynamic target image data;

[0073] Among them, each pixel in the original dynamic target image data is processed based on the above formula to output the optimized dynamic target image data, is the pixel value after brightness adjustment and contrast enhancement. , It is the target brightness value customized by the system user.

[0074] In this embodiment, the optimization processing logic of the dynamic target image data described above provides further operation data and logic support for the operation of the system in Embodiment 1, ensuring that the tracking results of the system in Embodiment 1 are more accurate and reliable when applied to dynamic target tracking.

[0075] Embodiment 3:

[0076] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The integrated monitoring and management system for safe construction of a smart seaport in Example 1 is further described in detail:

[0077] When creating a dynamic target tracking directory, the creation module sorts the dynamic target image data collected in the traversal camera module based on the acquisition timestamp;

[0078] Among them, when the dynamic target image data corresponding to the dynamic target leaves the seaport area, the system-side user synchronously records the corresponding marking information of the dynamic target leaving the seaport area to create a non-dynamic target tracking directory, and periodically feeds the non-dynamic target tracking directory back to the creation module. The creation module identifies the intersection of the dynamic target tracking directory and the non-dynamic target tracking directory in real time, and uses the part other than the intersection of the two sets of directories as the new dynamic target tracking directory to complete the update of the dynamic target tracking directory.

[0079] like Figure 1 As shown, a continuous operation cycle is customized by the system end user in the control unit. The control unit controls the tracking module and the receiving module to run repeatedly based on the set continuous operation cycle, and the output module runs synchronously with the receiving module.

[0080] In this embodiment, through the above settings, further operation data and logic support are provided for the operation of the system in Embodiment 1, ensuring the stable operation of the system in Embodiment 1.

[0081] In summary, during operation, the system in the above embodiment uses image recognition technology to capture dynamic targets entering the seaport, namely staff and logistics goods in real time, and then recognizes the similarity of the captured dynamic target image data to achieve real-time positioning of the dynamic targets entering the seaport, thereby ultimately achieving real-time comprehensive management of the staff and logistics goods inside the seaport, providing more reliable security management conditions for the seaport.

[0082] 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 comprehensive monitoring and management system for safe construction of smart seaports, characterized in that: include: Camera module, used to collect dynamic target image data of traffic and activities at the port entrance and exit and in the port area; The camera modules are provided in several groups, and the camera modules are evenly deployed in the seaport area. The camera modules are evenly deployed in an elliptical shape at the entrance and exit of the seaport. Sub-modules are provided inside the camera modules, including: A storage unit, used for receiving dynamic target image data collected by the camera module and storing the dynamic target image data; Wherein, when the storage unit stores the dynamic target image data, it performs differentiated storage based on the source of the dynamic target image data collection, so that the dynamic target image data collected by the camera module deployed at the entrance and exit of the seaport and the dynamic target image data collected by the camera module deployed in the seaport area are differentiated and stored in different storage intervals, and each dynamic target image data in the storage interval is further differentiated and stored based on its source dynamic target. After the dynamic target image data in the storage unit is differentiated and stored for the first time, it is synchronously configured with a distinguishing mark with a digital number and text information; A creation module is used to traverse the dynamic target image data collected in the camera module and create a dynamic target tracking directory based on the marking information of the dynamic target image data; When creating the dynamic target tracking directory, the creation module sorts the dynamic target image data collected in the traversal camera module based on the acquisition timestamps; Among them, when the dynamic target image data corresponding to the dynamic target leaves the seaport area, the system end user synchronously records the corresponding marking information of the dynamic target leaving the seaport area to create a non-dynamic target tracking directory, and periodically feeds back the non-dynamic target tracking directory to the creation module. The creation module recognizes the intersection of the dynamic target tracking directory and the non-dynamic target tracking directory in real time, and uses the part other than the intersection of the two groups of directories as the new dynamic target tracking directory to complete the update of the dynamic target tracking directory; The tracking module is used to select the tracking target in the dynamic target tracking directory and obtain the latest position of the tracking target; A receiving module is used to receive the latest position of the tracking target obtained by the tracking module; A control unit, used to control the tracking module and the receiving module to run repeatedly; The output module is used to obtain the latest position of the tracking target received by the receiving module and output the latest position of the tracking target in real time.

2. According to claim 1, a comprehensive monitoring and management system for safe construction of smart seaports is characterized in that: After acquiring the dynamic target image data, the camera module synchronously identifies the grayscale value of each pixel in the dynamic target image data, sums and averages the grayscale values ​​of each pixel to obtain the average grayscale value of the dynamic target image data, further sets a determination threshold and compares it with the average grayscale value of the dynamic target image data to determine whether the dynamic target image data is a bright image or a dark image. When the dynamic target image data is a dark image, the dynamic target image data is optimized and the original dynamic target image data is iterated with the optimized dynamic target image data.

3. According to claim 2, a comprehensive monitoring and management system for safe construction of smart seaports is characterized in that: The optimization processing logic of the dynamic target image data is expressed as: ； Where: The adjustment result of pixel i in the dynamic target image data output after optimization processing; is the brightness value of pixel i in the dynamic target image data; is the brightness adjustment coefficient; is the average brightness value of the dynamic target image data; is the target contrast factor; is the brightness standard deviation of dynamic target image data; Among them, each pixel in the original dynamic target image data is processed based on the above formula to output the optimized dynamic target image data, is the pixel value after brightness adjustment and contrast enhancement. , It is the target brightness value customized by the system user.

4. According to claim 1, a comprehensive monitoring and management system for safe construction of smart seaports is characterized in that: The tracking module is provided with submodules at the lower level, including: A selection unit is used to traverse the dynamic target tracking directory created by the creation module and select the marking information in the dynamic target tracking directory as the tracking target; The recognition unit is used to obtain the dynamic target image in the dynamic target image data storage interval collected by the camera module deployed at the entrance and exit of the seaport corresponding to the tracking target, and to recognize similar dynamic target image data in the dynamic target image data storage interval collected by the camera module deployed in the seaport area; Among them, when the selection unit runs to select marking information as the tracking target, the number of selected marking information is not less than one group and not more than five groups. When the recognition unit runs to recognize similar dynamic target image data, the two groups of dynamic target image data with the highest similarity are used as the final recognition result. The receiving module receives the final recognition result of the recognition unit during the operation stage, and obtains the dynamic target image data source camera module corresponding to the final recognition result. Further, based on the timestamp of the dynamic target image data collected by the camera module, the deployment position of the camera module corresponding to the group of dynamic target image data with the most recent collection timestamp is used as the latest position of the tracking target.

5. According to claim 4, a comprehensive monitoring and management system for safe construction of smart seaports is characterized in that: The similarity recognition logic of the dynamic target image data is expressed as: ； Where: is the similarity of two sets of dynamic target image data; The similarity between two groups of dynamic target image data based on the area level; The similarity between two sets of dynamic target image data based on the perimeter level; , is the i-th Hu moment of two sets of dynamic target image data; Among them, the similarity of the two sets of dynamic target image data The larger the value, the more similar the two sets of dynamic target image data are; conversely, the smaller the value, the less similar the two sets of dynamic target image data are.

6. According to claim 5, a comprehensive monitoring and management system for safe construction of smart seaports is characterized in that: Similarity between two sets of dynamic target image data based on area level is: the ratio of the contour image area in the dynamic target image data with a smaller contour image area to the contour image area in the dynamic target image data with a larger contour image area in the two sets of dynamic target image data; Similarity between two sets of dynamic target image data based on circumference It is: the ratio of the contour image perimeter in the dynamic target image data with a smaller contour image perimeter to the contour image perimeter in the dynamic target image data with a larger contour image perimeter in the two groups of dynamic target image data.

7. According to claim 1, a comprehensive monitoring and management system for safe construction of smart seaports is characterized in that: The control unit has a continuous operation cycle that is customized by the system end user. The control unit controls the tracking module and the receiving module to run repeatedly based on the set continuous operation cycle, and the output module runs synchronously with the receiving module.

8. According to claim 1, a comprehensive monitoring and management system for safe construction of smart seaports is characterized in that: The camera module is interactively connected to a storage unit via a wireless network, the camera module and the storage unit are interactively connected to a creation module via a wireless network, the creation module is interactively connected to a tracking module via a wireless network, the tracking module is interactively connected to a selection unit and an identification unit at a lower level via a wireless network, the selection unit is interactively connected to the creation module via a wireless network, the tracking module is interactively connected to a receiving module, a control unit and an output module via a wireless network, the control unit is interactively connected to the tracking module via a wireless network, and the receiving module is interactively connected to the output module via a wireless network.

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