Port communication and sensing integrated high-speed wireless private network communication and sensing fusion system and method

Abstract

The invention discloses a port communication and sensing integrated high-speed wireless private network communication and sensing fusion system and method. In the system, a core machine room is interconnected with a wireless base station cluster distributed in a port operation area; the wireless base station cluster comprises a plurality of distributed wireless base station nodes and at least one edge base station node, and the nodes realize multi-hop interconnection through an ad hoc network protocol to form an inter-node multi-path main and standby redundant communication topological structure; the edge computing unit is equipped with an environment sensing module, a local data processing module and a local emergency decision module, is deployed between an edge base station node and a core machine room, and is used for executing real-time linkage of environment data obtained by communication transmission and sensing and a link state; video data, operation information and link state data are locally cached, screened and intelligently analyzed, and the load of a return link is reduced. According to the invention, integrated operation of high-bandwidth, low-delay and high-reliability communication transmission and real-time intelligent sensing in a complex port environment is realized.

Description

Technical Field

[0001] This invention relates to the field of port communication and environmental sensing technology, and in particular to a high-speed wireless private network communication and sensing fusion system and method for ports that integrates communication and sensing. The system has both high-speed communication and intelligent sensing capabilities and can be applied to intelligent port automated operation scenarios. Background Technology

[0002] With the rapid development of smart ports, unmanned loading and unloading, high-definition video surveillance and remote control technologies are being used more and more widely in port operation areas. The number of automated equipment, high-definition video surveillance terminals and various types of sensor terminals in port operation areas is growing explosively, which puts forward strict requirements on the bandwidth, latency and reliability of communication networks.

[0003] Currently, most port communication networks rely on single-link or star topologies, lacking redundancy and backup mechanisms. Therefore, failures in the backbone link or critical nodes can easily lead to communication interruptions or equipment disconnections in the work area, severely impacting the transmission of remote control commands and production scheduling efficiency. For example, the "Intelligent Cargo Handling System for Container Terminals" disclosed in Chinese Patent CN110070324B and the "High-Efficiency Production Management System for Terminals" disclosed in Chinese Patent CN111650902A both employ single-path wireless or fiber optic communication architectures, resulting in poor communication stability and slow link recovery under adverse conditions such as strong winds, salt spray, or electromagnetic interference.

[0004] Meanwhile, the port operating environment is characterized by high salt spray concentrations, large temperature and humidity fluctuations, dense metal structures, and complex electromagnetic environments. Existing wireless equipment generally lacks targeted protection design and link status awareness capabilities, making it impossible to monitor environmental changes and communication quality in real time, and even more difficult to automatically adjust and optimize communication links in the event of attenuation or node failure. Therefore, problems such as decreased communication reliability, high maintenance costs, and delayed response times exist. Furthermore, many existing systems only possess a single communication function, separating communication from environmental perception, failing to achieve data collaboration and adaptive control, and thus failing to meet the intelligent development needs of smart ports. Summary of the Invention

[0005] The purpose of this invention is to provide a high-speed wireless private network communication and sensing fusion system and method for ports, which solves the problems of existing port communication networks such as simple structure, separation of communication and sensing functions, weak resistance to harsh environments, and slow operation and maintenance response. It realizes the integrated operation of high bandwidth, low latency, high reliability communication transmission and real-time intelligent sensing in complex port environments.

[0006] To achieve the above objectives, the present invention provides the following technical solution: According to one aspect of the present invention, a high-speed wireless private network communication and sensing fusion system integrating port sensing is provided, the system comprising a core computer room 1, a wireless base station cluster 2, terminal access devices 3, and an edge computing unit 4, wherein: The core computer room 1 integrates a system management platform, a data communication module, and a data security module, and is interconnected with the wireless base station cluster 2 distributed in the port operation area through a redundant fiber optic backbone network 6. The wireless base station cluster 2 includes multiple distributed wireless base station nodes and at least one edge base station node. The nodes are interconnected via a self-organizing network protocol to form a multi-path primary and backup redundant communication topology between nodes. The terminal access device 3 includes an automated cargo handling control terminal, a high-definition video monitoring terminal, and an operation sensing terminal. The edge computing unit 4 is equipped with an environmental perception module 5, a local data processing module, and a local emergency decision-making module. It is deployed between the edge base station node and the core computer room 1 to perform real-time linkage between communication transmission and the environmental data and link status obtained by perception. It performs local caching, filtering, and intelligent analysis of video data, operation information, and link status data, thereby reducing the load on the backhaul link.

[0007] According to one embodiment of the present invention, the environmental sensing module 5 includes a temperature and humidity sensor, an electromagnetic interference detection unit, a wind speed detection unit, and a salt spray concentration detection unit, which are used to collect environmental parameters and link quality status information of the port operation area in real time.

[0008] According to one embodiment of the present invention, the wireless base station cluster 2 adopts a dual-band communication architecture of 5.8GHz and 2.4GHz. The 5.8GHz band is used for high-speed service transmission of high-definition video and large amounts of data, while the 2.4GHz band is used for low-latency service transmission of control commands and low-speed sensor data. It conforms to the IEEE 802.11ax communication standard, with a single-link bandwidth of over 200Mbps and an end-to-end transmission delay of less than 10ms.

[0009] According to one embodiment of the present invention, the wireless base station cluster 2 has an IP66 protection rating, can operate stably in an ambient temperature range of -15℃ to +55℃, and supports automatic fault detection, link redundancy self-healing and intelligent routing selection functions.

[0010] According to one embodiment of the present invention, the system management platform includes a topology monitoring module, a remote configuration module, a performance analysis module, an alarm module, and a decision log synchronization module, which supports remote operation and maintenance and centralized monitoring through a WEB interface and SNMP protocol; The decision log synchronization module is used to receive the decision logs uploaded by the edge computing unit 4 during the communication disconnection period, so as to realize data closure.

[0011] According to one embodiment of the present invention, the data security module includes an intrusion prevention unit, an access control unit, a VPN tunnel unit, and a log auditing unit, for implementing a traffic isolation mechanism based on the WPA2 encryption protocol and VLAN, thereby achieving physical and logical separation between the management network and the business network.

[0012] According to one embodiment of the present invention, the wireless base station cluster 2 supports automatic fault detection and link self-repair: if any node or link fails, it will automatically switch to the backup link within the emergency response threshold time, and automatically switch back to the main link after the link is restored.

[0013] According to one embodiment of the present invention, the local data processing module of the edge computing unit 4 caches high-definition video of a specific duration, filters abnormal data, and only returns important information to the core data center, thereby reducing the load on the backhaul link.

[0014] According to one embodiment of the present invention, the local emergency decision module of the edge computing unit 4 monitors the link status with the core computer room 1 in real time, and triggers local decision when the link status deterioration condition is met; generates temporary emergency protection instructions based on local cached data; uploads decision logs after the link is restored, and switches back to remote control mode.

[0015] On the other hand, the present invention also provides a high-speed wireless private network communication and sensing fusion method for ports, comprising the following steps: S1: Deploy the various components of the system and establish primary and backup redundant communication networks through redundant fiber optic backbone and self-organizing network protocols; S2: Activate the environmental awareness module and system management platform to collect environmental parameters and link quality information in real time; S3: The terminal access device collects operation-related data and transmits it to the edge computing unit for processing via a dual-frequency communication link; S4: The system management platform monitors the network status. If an anomaly occurs, it will automatically switch to the backup network link within the emergency response threshold time. S5: Enables remote configuration, alarm handling, and network operation and maintenance optimization through the system management platform.

[0016] This invention provides a high-speed wireless private network communication and sensing fusion system and method for ports, offering secure, stable, and sustainable communication support for unmanned loading and unloading, remote monitoring, and intelligent scheduling in smart ports. Compared with existing technologies, the beneficial effects are as follows: 1. Significantly improved communication reliability: By adopting a self-organizing network to implement a multi-path primary and backup redundant communication topology and a 60-second link self-healing mechanism, the communication interruption problem caused by single link failure can be completely solved, ensuring the continuous operation of port automation tasks. The dual-frequency communication architecture and intelligent routing selection further enhance the communication stability in complex environments.

[0017] 2. Achieved deep integration of communication and sensing: By integrating the environmental perception module and edge computing unit into the system, real-time linkage between environmental parameters, link status and communication transmission can be achieved. Risks can be predicted in advance and communication strategies can be dynamically adjusted, overcoming the limitations of the existing system's separation of communication and perception.

[0018] 3. Meets the high-speed, low-latency requirements for port operations: The dual-band architecture based on the IEEE 802.11ax standard provides a transmission capability with a single-link bandwidth of over 200Mbps and an end-to-end latency of less than 10ms, meeting the performance requirements of core port operations such as high-definition video transmission and remote equipment control.

[0019] 4. Improved system environmental adaptability and security: Adopting an IP66 protection rating and a wide temperature range operating design, it can adapt to the harsh port environment with high salt spray, high humidity and large temperature difference; it integrates a multi-layer security protection system of encryption, isolation and intrusion protection, realizes the separation of communication and management security domains, and can ensure the security of data transmission and equipment control.

[0020] 5. Significantly optimized operational efficiency: Centralized management through an intelligent management platform enables remote configuration, real-time alarms, performance analysis, and log auditing, reducing reliance on manual inspections, lowering operating and maintenance costs, and improving fault response and handling efficiency. Attached Figure Description

[0021] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this invention, illustrate exemplary embodiments of the invention and are used to explain the invention, but do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a schematic diagram of a high-speed wireless private network communication and sensing fusion system for ports, according to an embodiment of the present invention. Figure 2 This is a flowchart of a high-speed wireless private network communication and sensing fusion method for ports, which integrates sensing and perception according to an embodiment of the present invention. Figure 3 This is a schematic diagram of the overall system structure according to an embodiment of the present invention; Figure 4 This is a schematic diagram of a multi-hop wireless base station cluster network according to an embodiment of the present invention; Figure 5 This is a schematic diagram of communication link redundancy switching according to an embodiment of the present invention; Figure 6 This is a functional structure diagram of the system management platform according to an embodiment of the present invention.

[0022] Explanation of reference numerals in the attached figures: 1. Core computer room; 2. Wireless base station cluster; 3. Terminal access equipment; 4. Edge computing unit; 5. Environmental sensing module; 6. Redundant fiber optic backbone network. Detailed Implementation

[0023] To facilitate a clear description of the technical solutions in the embodiments of the present invention, the terms "first" and "second" are used to distinguish identical or similar items with essentially the same function and effect. For example, the first threshold and the second threshold are merely used to distinguish different thresholds and do not limit their order. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and that the terms "first" and "second" are not necessarily different.

[0024] It should be noted that in this invention, the terms "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in this invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0025] In this invention, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one" or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, "at least one of a, b, or c" can represent: a, b, c, a combination of a and b, a combination of a and c, a combination of b and c, or a, b, and c, where a, b, and c can be single or multiple.

[0026] This invention, by configuring data communication and data security equipment in the core computer room and deploying a distributed wireless base station cluster in the ore and general cargo operation areas, creates a redundant self-organizing network for the entire wireless communication network. When a base station or backbone link fails, it can automatically switch to a nearby base station or backup link. Compared to existing technologies, this effectively prevents communication loss in the operation area when encountering link interruptions due to strong winds, salt spray, or equipment damage, thus ensuring the continuity and stability of port automated operations and remote control. In addition, through the system management platform and fault detection unit, targeted protection and real-time monitoring can be performed on base stations and core links that play a key role in the entire wireless communication link. This not only prevents equipment performance degradation due to humidity, salt spray, and other factors in harsh environments, but also promptly issues alarms and performs rapid switching and maintenance when signal attenuation, interference, or equipment abnormalities occur, effectively preventing damage to the wireless communication link. This enables the integrated operation of high-speed communication and intelligent sensing in the smart port operation area.

[0027] like Figure 1 The diagram shows a high-speed wireless private network communication and sensing fusion system for a port. The system includes a core computer room 1, a wireless base station cluster 2, a terminal access device 3, and an edge computing unit 4. The core computer room 1 integrates a system management platform, a data communication module, and a data security module, and is interconnected with the wireless base station cluster 2 distributed in the port operation area through a redundant optical fiber backbone network 6. The wireless base station cluster 2 includes multiple distributed wireless base station nodes and at least one edge base station node. The nodes are interconnected via a self-organizing network protocol to form a multi-path primary and backup redundant communication topology between nodes. The terminal access device 3 includes an automated cargo handling control terminal, a high-definition video monitoring terminal, and an operation sensing terminal. The edge computing unit 4 is equipped with an environment perception module 5, which is deployed between the edge base station node and the core computer room 1. It is used to perform real-time linkage between communication transmission and the perceived environmental data and link status, and to perform local caching, filtering and intelligent analysis of video data, operation information and link status data, thereby reducing the load on the backhaul link.

[0028] like Figure 2 As shown, a flowchart of a high-speed wireless private network communication and sensing fusion method for ports is presented. The method includes the following steps: S201: Deploy system components and build a primary / backup redundant communication network; Based on the layout of the cargo storage area, wharf front, and gate in the port operation area, a suitable location is selected to set up the core equipment room 1, wireless base station cluster 2, and terminal access equipment 3. The core equipment room is connected to the base station aggregation node through two redundant fiber optic backbone networks 6. The base station nodes achieve multi-hop interconnection through the IEEE 802.11s protocol and construct a master-slave redundant topology. Initial communication parameters for the 5.8GHz and 2.4GHz channels are set, the temperature alarm threshold is configured as >50℃ or <-10℃, the salt spray concentration alarm threshold is configured as >0.05mg / m³, and local decision-making safety rules are set.

[0029] S202: Activate the sensing and management platform and collect basic data; The environmental perception module 5 of the edge computing unit 4 is activated to collect environmental parameters and link quality data in real time; the core data center system management platform is activated to initialize topology monitoring, performance analysis and alarm functions, establish communication connections with each component, and receive operating status data in real time.

[0030] S203: Terminal data acquisition and edge processing; Terminal access device 3 collects data at a preset frequency. The automated equipment control terminal collects the operating status every 0.1 seconds, the high-definition video terminal collects video data frame by frame, and the operation sensing terminal collects sensing data every 1 second. The collected terminal data is transmitted to the edge computing unit 4 through a dual-frequency link. After local processing, abnormal data and key information are fed back to the core computer room, while normal data is cached locally.

[0031] S204: Network Status Monitoring and Local Emergency Decision-Making; The system management platform monitors network status in real time. If the link is normal, the core data center issues remote control commands, and the edge computing unit only performs data forwarding and preliminary analysis. If the link is interrupted or the core data center fails, the local emergency decision-making module of the edge computing unit is triggered, generating temporary control commands within 4-5 seconds to control the terminal devices to perform emergency operations and prevent work interruption.

[0032] S205: Operation and maintenance optimization and data synchronization.

[0033] Operations and maintenance personnel can view topology, performance and alarm information through the system management platform, remotely adjust base station parameters and optimize network load; once the link between the edge device and the core data center is restored, the local decision module will automatically synchronize the decision log to the core data center, complete the data loop, and switch back to remote control mode.

[0034] Example 1: System overall structure.

[0035] like Figure 3The diagram shows the overall structure of a high-speed wireless private network communication and sensing fusion system for a port, illustrating the physical distribution, connectivity, and functional positioning of the four core components: the core computer room, the wireless base station cluster, the terminal access devices, and the edge computing unit. The system includes a core computer room 1, a wireless base station cluster 2, terminal access devices 3, and an edge computing unit 4. The core computer room 1 integrates a system management platform, a data communication module, and a data security module, and is interconnected with the wireless base station cluster 2 distributed throughout the port's operational area via a redundant fiber optic backbone network 6.

[0036] The core computer room, serving as the hub for system control and data aggregation, integrates a system management platform, data communication modules, and data security modules. Its internal equipment includes core servers with a dual-server redundancy structure, redundant power supplies, data switches, and other critical components. The core computer room is interconnected with the external wireless base station cluster 2 via two parallel redundant fiber optic backbone networks 6. This redundant transmission design mitigates the risk of core link interruption due to a single fiber optic failure.

[0037] The nodes of wireless base station cluster 2 are deployed in key port operation locations such as cargo yards, quay front areas, and gate areas. The nodes in the cluster can be divided into two types: multiple distributed wireless base station nodes and at least one edge base station node. The wireless base station nodes are arranged in a distributed manner, schematically arranged using pillars or tower-like structures to achieve continuous coverage of the operation area. Edge base station nodes are deployed in complex port environments, such as quay front areas and corners of cargo yards, serving as carriers for edge computing units. They connect to other distributed nodes via wireless network links, forming a multi-path primary and backup redundant communication topology. The primary link uses the 5.8GHz frequency band, and the backup link uses the 2.4GHz frequency band to achieve multi-hop interconnection and automatic fault recovery.

[0038] Terminal access devices 3 are deployed in a distributed manner within the base station coverage areas corresponding to various operational scenarios in the port, and are divided into three types of terminals according to their functions: Automated cargo handling control terminals, including unmanned terminal cranes, automated guided vehicles (AGVs), stacker cranes, and other equipment, are connected to nearby distributed base stations or edge base stations via wireless links to receive control commands and provide feedback on operating status. High-definition video surveillance terminals are mainly surveillance cameras deployed in important locations such as cargo storage yards, gates, and dock front lines, transmitting video data to edge computing units via wireless links; Operational sensor terminals are sensors deployed in cargo stacking areas and key parts of equipment to collect data such as weight, location, temperature, and humidity, and connect to nearby base stations.

[0039] Edge computing unit 4 is deployed in the middle of the link between the edge base station node and the core equipment room, and is connected to both the edge base station and the core equipment room via wired links. Internally, it is equipped with an environmental perception module 5, a local data processing module, and a local emergency response decision-making module. By combining the edge computing unit with the environmental perception module, it enables communication and perception linkage, as well as local data and decision processing. It receives environmental perception data and terminal data, processes it locally, and then transmits important information back to the core equipment room, thereby reducing the load on the backhaul link.

[0040] Multi-hop interconnection via self-organizing network protocols involves connecting distributed base station nodes and edge base station nodes to form a mesh topology, thus constructing wireless multi-hop links. If any node fails, the link can be rebuilt through other nodes.

[0041] like Figure 4 The document further details the connection relationships between nodes and links, clearly demonstrating an example of multi-hop interconnection achieved through ad hoc network protocols. A single distributed node / edge base station node can communicate with a aggregation node through relay from neighboring nodes, thus forming a multi-hop transmission path. For example, a transmission path can be formed by connecting a remote node, intermediate node, and aggregation node in a cargo yard. By expanding the coverage area through multi-hop connections, the problem of insufficient single-hop coverage in a port's wide operating area is solved.

[0042] In multiple transmission paths, redundancy and self-healing can be achieved through path switching at faulty nodes. For example, when a distributed node (such as node A in a freight yard) fails, terminal devices within its coverage area (such as AGVs) will automatically switch to the backup link of the nearby node B, and then relay to the aggregation node through node B. Thus, if any node or link fails, the self-healing mechanism will automatically switch to the backup link within 60 seconds. By deploying a relatively balanced number of link connections across nodes, and through dynamic channel allocation and link quality assessment algorithms, multi-node load balancing is achieved, ensuring the stability of the network structure.

[0043] Wireless base station nodes are deployed via fixed poles or tower structures in storage yards, wharf fronts, gates, roadsides, and office areas to achieve continuous coverage of the port's operational areas. The nodes communicate with each other via multi-hop wireless communication based on the IEEE 802.11ax standard, supporting a dual-band architecture of 5.8GHz and 2.4GHz, with a single-hop link bandwidth of no less than 200Mbps and an end-to-end transmission latency of less than 10ms.

[0044] like Figure 5 The diagram illustrates the self-healing mechanism for wireless base station cluster link failures. When the main link fails, the system automatically detects the fault and switches to the backup link to ensure communication continuity.

[0045] Under normal operating conditions (with the main link handling the service), the main communication link (5.8GHz solid line) remains connected, while the backup link (2.4GHz dashed line) is in standby mode (no data transmission). Data collected by terminal access devices (such as AGVs, high-resolution surveillance cameras, etc.) is transmitted normally along the path of terminal, fault node (which is now normal), main link, aggregation node, and core computer room.

[0046] When the main link is interrupted due to external environmental factors (such as equipment failure, strong winds, or salt spray interference), an "×" is marked on the faulty node (e.g., a base station near a dock crane), and a disconnection marker is displayed on the main line to indicate that the main line is interrupted due to node failure. Detection response: The line self-healing module detects signal loss at the faulty node through monitoring and immediately displays "Fault detection complete" (e.g., a pop-up message box). Through the "Quick Detection" scenario display, fault identification can be completed within 10-20 seconds, providing sufficient time for the subsequent 60-second handover.

[0047] Upon detecting a fault, the backup link switchover and service recovery link activation are initiated. The backup communication link (2.4GHz dashed line) is immediately marked as "Active," forming a new data transmission path: terminal access device, adjacent normal node, backup link, aggregation node, core equipment room. The dashed line will change to an active state with a data arrow.

[0048] When normal data transmission is restored at the terminal device (e.g., AGV), the system automatically switches to the backup link within 60 seconds. The backup link uses the 2.4GHz frequency band to ensure low-latency transmission of control commands. After the link is restored, services can automatically switch back to the primary link, ensuring the real-time performance and stability of network operation.

[0049] like Figure 6 As shown, the system management platform is deployed in the core computer room 1 and communicates with each wireless base station node via a wired connection. The platform has functions such as network topology monitoring, node status detection, remote configuration, and real-time alarms. It can visualize the communication link quality, node load, and signal strength, and realize unified management and status monitoring of the wireless network in the port operation area.

[0050] The data communication module receives link status data and environmental awareness data uploaded from the base station and edge computing unit, and transmits them to the performance analysis module (statistical indicators) and the topology monitoring module (topology status updates). When the data triggers an alarm threshold, the performance analysis module / topology monitoring module sends a signal to the alarm module, thereby triggering an alarm.

[0051] Maintenance personnel initiate parameter adjustment requests via a web interface. The remote setting module generates instructions, which are then sent to the target base station / terminal via the data communication module. Operation logs are synchronously transmitted to the log auditing unit of the data security module and stored.

[0052] After the link is restored, the edge computing unit uploads the decision logs from the breakpoint period to the decision log synchronization module via the data communication module. The decision log synchronization module verifies the log integrity, saves it locally, and it can be accessed by the performance analysis module (for decision strategy optimization).

[0053] In the technical solution of this invention, the collaborative setup of the core computer room and the wireless base station cluster enables the entire wireless private network to form a multi-level, redundant communication topology. When any node or link malfunctions, the system can automatically switch to the backup path, thereby effectively avoiding communication interruption in the work area and ensuring the stable operation of port automated loading and unloading equipment and video surveillance system.

[0054] Example 2: A system integrating environmental perception and intelligent analysis.

[0055] Based on Example 1, environmental perception and intelligent analysis functions are further added, while the rest of the structure remains consistent with Example 1. In Example 2, the edge base station nodes in the wireless base station cluster 2 are equipped with an environmental perception module, including a temperature and humidity sensor, an electromagnetic interference detection unit, and a wind speed detection unit, for real-time monitoring of the port operation environment and link quality. The data collected by the environmental perception module is processed locally by the edge computing unit, anomaly features are extracted, and reported to the system management platform in the core computer room 1, enabling early warning of changes in the network environment.

[0056] To alleviate the computing pressure on the core computer room 1, this implementation method sets up an edge computing unit between the edge base station nodes and the core computer room, which has functions such as video data caching, job information aggregation, and intelligent link status analysis. This unit can realize local decision-making and hierarchical transmission of some data, reduce network backhaul pressure, and improve overall response speed and operating efficiency.

[0057] In practical applications, this system has been deployed in typical port yards. Wireless base station cluster 2 adopts a hybrid networking approach combining wired and wireless methods. The wired portion is interconnected with the core equipment room via fiber optic cable, while the wireless portion utilizes a multi-hop self-organizing network to achieve continuous coverage of unmanned yards, roads, and gate areas. The system operates stably in ambient temperatures ranging from -15℃ to +55℃, with a signal coverage radius exceeding 2 kilometers and a link fluctuation rate of less than 3%, meeting the requirements for remote port control and high-definition video transmission.

[0058] In summary, this embodiment, by adding an environmental perception module and an edge computing unit, enables the system to not only possess high-speed and reliable communication capabilities but also to achieve intelligent perception and real-time analysis of the external environment and link quality, further enhancing the security, stability, and adaptability of the port wireless private network. The system architecture, communication parameters, and number of nodes in this embodiment can be adjusted according to different port scenarios. For example, in a container terminal scenario, base station nodes can be deployed in the areas of quay cranes, yards, and gates; in an ore terminal scenario, relay nodes can be deployed according to the operating range of the stacker-reclaimer to achieve wide-area stable coverage.

[0059] Example 3: Emergency response plan for faults.

[0060] A fault prediction module is set up in the edge computing unit. Based on environmental perception data such as temperature and humidity, salt spray concentration, and electromagnetic interference, as well as link historical data (packet loss rate, latency fluctuation) and equipment operation information (power consumption, heat dissipation status), a lightweight AI model (such as LSTM time series prediction model) is trained to identify potential faults 10 to 30 minutes in advance, such as base station performance degradation caused by salt spray corrosion and link jitter caused by electromagnetic interference.

[0061] Further establish a three-stage warning threshold: The corresponding first-stage warning thresholds for low risk are: link packet loss rate of 3% to 5% and salt spray concentration of 0.05 to 0.07 mg / m³. The corresponding emergency measures include automatically adjusting the base station's transmission power, switching communication channels, and strengthening anti-interference capabilities. The second-stage warning threshold for medium risk is as follows: if a link interruption is predicted to occur within 15 minutes, the backup link is activated in advance. The backup link is in a "hot backup" state, and the switching time is shortened from 60 seconds to less than 10 seconds. The third-stage warning threshold corresponds to high risk: if the equipment temperature approaches 50°C and the power consumption rises abnormally, an operation and maintenance alarm will be triggered immediately. At the same time, the edge computing unit will generate emergency decision instructions in advance, such as AGV backup driving route planning.

[0062] An emergency event post-review module is set up in the system management platform. After link recovery or fault repair, it automatically analyzes the cause of the fault and the effect of the emergency response (switchover time, job loss, etc.) and outputs optimization strategies. If the fault is caused by excessive salt spray concentration, the dehumidification protection frequency of the base stations in that area is adaptively adjusted, and the collection frequency of the environmental sensing module is optimized, for example, from once every 5 seconds to once every 2 seconds. If the backup link switchover time is too long, the bandwidth allocation ratio of the primary and backup links is adaptively adjusted to enhance the hot backup resources of the backup link. The optimization strategies obtained after review are automatically distributed to the edge computing unit and the wireless base station cluster, realizing a closed loop of fault, emergency response, post-review, and continuous optimization. Existing technologies simply switch back to the primary link after fault recovery. This embodiment drives system iteration through emergency data, continuously improving the reliability and efficiency of fault emergency response.

[0063] Although the invention has been described herein in conjunction with various embodiments, those skilled in the art will understand and implement other variations of the disclosed embodiments by reviewing the accompanying drawings, disclosure, and other materials. In this specification, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude multiple components. A single processor or other unit can implement several functions listed in the specification. While certain measures are described in different embodiments, this does not mean that these measures cannot be combined to produce good results.

[0064] Although the invention has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made therein without departing from the spirit and scope of the invention. Accordingly, this specification and drawings are merely illustrative of the invention and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of the invention. Clearly, those skilled in the art can make various alterations and modifications to the invention without departing from its spirit and scope. Thus, if such modifications and modifications fall within the scope of the invention and its equivalents, the invention is also intended to include such modifications and modifications.

Claims

1. A high-speed wireless private network communication and sensing fusion system for ports, characterized in that, It includes a core computer room (1), a wireless base station cluster (2), terminal access equipment (3), and an edge computing unit (4), wherein: The core computer room (1) integrates a system management platform, a data communication module and a data security module, and is interconnected with a wireless base station cluster (2) distributed in the port operation area through a redundant fiber optic backbone network (6). The wireless base station cluster (2) includes multiple distributed wireless base station nodes and at least one edge base station node. The nodes are interconnected via a self-organizing network protocol to form a multi-path primary and backup redundant communication topology between nodes. The terminal access device (3) includes an automated cargo handling control terminal, a high-definition video monitoring terminal, and an operation sensing terminal; The edge computing unit (4) is equipped with an environmental perception module (5), a local data processing module and a local emergency decision-making module. It is deployed between the edge base station node and the core computer room (1) to perform real-time linkage between communication transmission and the environmental data and link status obtained by perception. It performs local caching, filtering and intelligent analysis of video data, operation information and link status data, thereby reducing the load on the backhaul link.

2. The system according to claim 1, characterized in that, The environmental sensing module (5) includes a temperature and humidity sensor, an electromagnetic interference detection unit, a wind speed detection unit, and a salt spray concentration detection unit, which are used to collect environmental parameters and link quality status information of the port operation area in real time.

3. The system according to claim 1, characterized in that, The wireless base station cluster (2) adopts a dual-band communication architecture of 5.8GHz and 2.4GHz. The 5.8GHz band is used for high-speed service transmission of high-definition video and large amounts of data, while the 2.4GHz band is used for low-latency service transmission of control commands and low-speed sensor data. It conforms to the IEEE 802.11ax communication standard, with a single-link bandwidth of over 200Mbps and an end-to-end transmission delay of less than 10ms.

4. The system according to claim 1, characterized in that, The wireless base station cluster (2) has an IP66 protection level, can operate stably in an ambient temperature range of -15℃ to +55℃, and supports automatic fault detection, link redundancy self-healing and intelligent routing selection functions.

5. The system according to claim 1, characterized in that, The system management platform includes a topology monitoring module, a remote configuration module, a performance analysis module, an alarm module, and a decision log synchronization module, which supports remote operation and maintenance and centralized monitoring through a web interface and SNMP protocol. The decision log synchronization module is used to receive the decision log uploaded by the edge computing unit (4) during the communication disconnection period in order to realize data closure.

6. The system according to claim 1, characterized in that, The data security module includes an intrusion prevention unit, an access control unit, a VPN tunnel unit, and a log auditing unit, which are used to implement a traffic isolation mechanism based on the WPA2 encryption protocol and VLAN to achieve physical and logical separation between the management network and the business network.

7. The system according to claim 1, characterized in that, The wireless base station cluster (2) supports automatic fault detection and link self-repair: if any node or link fails, it will automatically switch to the backup link within the emergency response threshold time and automatically switch back to the main link after the link is restored.

8. The system according to claim 1, characterized in that, The local data processing module of the edge computing unit (4) caches high-definition videos of a specific duration, filters abnormal data, and only returns important information to the core computer room, thereby reducing the load on the backhaul link.

9. The system according to claim 8, characterized in that, The local emergency decision module of the edge computing unit (4) monitors the link status with the core computer room (1) in real time, and triggers local decision when the link status deterioration condition is met; and generates temporary emergency protection instructions based on local cached data. After the link is restored, the decision log is uploaded, and the system switches back to remote control mode.

10. A high-speed wireless private network communication and sensing fusion method for ports, implemented based on the system described in any one of claims 1 to 9, characterized in that, The method includes the following steps: S1: Deploy the various components of the system and establish primary and backup redundant communication networks through redundant fiber optic backbone and self-organizing network protocols; S2: Activate the environmental awareness module and system management platform to collect environmental parameters and link quality information in real time; S3: The terminal access device collects operation-related data and transmits it to the edge computing unit for processing via a dual-frequency communication link; S4: The system management platform monitors the network status. If an anomaly occurs, it will automatically switch to the backup network link within the emergency response threshold time. S5: Enables remote configuration, alarm handling, and network operation and maintenance optimization through the system management platform.

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