Automated yard truck without-sensing interaction method, system and device

Abstract

This application provides a method, system, and device for seamless interaction between manned and container trucks in automated container yards. Applied to the field of smart port logistics technology, the method synchronizes the truck's access data from the pre-entry gate to an embedded identification terminal in advance. Image acquisition is triggered by a vehicle detection device in the straight section behind the curve at the container yard entrance, enabling real-time data collection while the truck is in motion. Simultaneously, the embedded identification terminal performs real-time access data recognition and comparison with the pre-entry gate access data in parallel, prioritizing the output of the first valid verification result to reduce recognition errors. After successful verification, the verification data is uploaded to the production operating system, ensuring that work instructions are matched and pushed before the truck reaches the guidance terminal. This eliminates the need for a stop verification step, reduces entrance congestion, and enables seamless, non-stop interaction between manned and container trucks in automated container yards, improving yard turnover efficiency and operational safety.

Description

Technical Field

[0001] This application relates to the field of smart port logistics technology, specifically to an automated yard manned truck contactless interaction method, system and equipment. Background Technology

[0002] With the surge in global trade volume, the construction of smart ports has become a core trend. Automated container yards, as key hubs connecting sea and land transport, bear extremely high turnover pressure. Although modern automated yards widely adopt unmanned container cranes (ARMGs), automated guided vehicles (AGVs), and advanced terminal production operating systems (TOS), manned container trucks (outer trucks) remain the mainstay of yard operations due to their high flexibility and capacity elasticity. How to efficiently and safely manage these manned trucks and smoothly integrate them into a highly automated operating environment is one of the biggest challenges facing smart ports today.

[0003] Currently, automated container yards generally use a semi-manual mode when handling interactions with external container trucks: trucks need to stop at the container area entrance and wait for manual verification of vehicle numbers and documents, or drivers need to use terminals to make appointments. This mode has the following significant drawbacks: First, the operation efficiency is low, the parking, verification and registration process is cumbersome, and it is easy to cause congestion at the entrance of the container area during peak operation periods, which restricts the overall throughput capacity of the yard; Second, the lack of standardization in the layout of front-end devices and the unstable image capture results lead to a low recognition success rate. Third, the information islands formed between the level crossings and the storage yards require manual secondary data entry, which can easily lead to errors in work instructions.

[0004] Therefore, a new automated yard manned truck interaction solution is needed. Summary of the Invention

[0005] In view of this, the embodiments of this specification provide a method, system and equipment for seamless interaction between manned trucks and automated yards, which solves the problems of existing manned truck interaction modes in automated yards relying on parking verification, lack of unified standards for equipment installation and layout, easy errors in identification from a single data source, and data separation between the level crossing and yard systems.

[0006] The embodiments in this specification provide the following technical solutions: This specification provides an embodiment of a method for seamless interaction between manned and automated yard trucks, including: The system obtains and caches the passage data of the truck's front crossing through the standard interface. When the truck enters the straight section of the container yard entrance while maintaining its driving state, the vehicle detection device senses the vehicle's passage and triggers the image acquisition device set in the straight section to collect the truck's real-time passage data. The straight section is located behind the curve at the container yard entrance and is used to constrain the truck to automatically straighten its front while driving. The real-time passage data is transmitted to the embedded identification terminal. The embedded identification terminal performs parallel verification calculations based on the real-time passage data and the passage data at the previous checkpoint during the truck's continuous driving process to obtain the identity verification result. When the identity verification result is successful, a verification data packet is generated and uploaded to the external production operating system. The external production operating system then matches the corresponding operation instruction with the verification data packet and sends it to the guidance terminal before the truck arrives at the guidance terminal, so as to realize the truck's non-stop, seamless interaction.

[0007] Furthermore, the image acquisition device is controlled to capture images on a preset cantilever structure suspended above the lane in the straight section of the road. During the capture process, the straight-line distance between the capture position of the image acquisition device and the turning center of the container truck at the entrance of the container area should be greater than 15 meters.

[0008] Furthermore, the step of using a vehicle detection device to sense vehicle passage and triggering an image acquisition device located in the straight section of the road to collect real-time passage data of the truck includes: The passage status of the truck is sensed by using inductive loops buried under the lane and vehicle detectors set up on the roadside. When the card passage is detected, the image acquisition device is triggered to perform dynamic image acquisition.

[0009] Furthermore, the parallel verification operation of the dual data sources includes: The real-time traffic data is subjected to local identification calculation to output a first verification result, and the real-time traffic data is compared with the traffic data of the preceding checkpoint to output a second verification result. The first valid verification result output between the first verification result and the second verification result shall be accepted as the identity verification result.

[0010] Furthermore, the acceptance of the first valid verification result obtained between the first verification result and the second verification result as the identity verification result includes: If the local identification operation outputs a valid vehicle number first, then the valid vehicle number is used as the identity verification result, and the ongoing comparison operation is terminated. If the comparison operation outputs a consistency comparison result first, then the vehicle number in the previous checkpoint passage data is used as the identity verification result, and the local identification operation being executed is terminated.

[0011] Furthermore, the automated yard manned truck contactless interaction method also includes: Real-time monitoring of the operating status of each front-end device; When an abnormal operation of a front-end device is detected, the power distribution unit is remotely controlled via the network to power off and restart the abnormal device.

[0012] Furthermore, the automated yard manned truck contactless interaction method also includes: When a new recognition model is generated for incremental training, the new recognition model is silently downloaded to the embedded recognition terminal using an over-the-air download method. The embedded recognition terminal is controlled to automatically load the new recognition model during idle periods to complete the firmware upgrade.

[0013] This specification also provides an automated yard manned truck contactless interaction system, including: The data synchronization module is used to acquire and cache the passage data of the truck's front crossing through a standard interface; An image acquisition device is installed in the straight section behind the curve at the entrance of the container area. It is used to collect real-time traffic data of the container truck when it passes through the straight section while maintaining its driving state. The straight section is used to constrain the container truck to automatically straighten its front end while driving. A vehicle detection device is installed in the straight section and connected to the image acquisition device. It is used to trigger the image acquisition device to collect the real-time traffic data when a tollbooth is detected. An embedded identification terminal is connected to the data synchronization module and the image acquisition device respectively. It is used to perform parallel verification calculations based on the real-time traffic data and the forward crossing traffic data during the continuous driving of the truck to obtain the identity verification result. The business collaboration module is used to generate a verification data packet when the identity verification result is passed, and upload the verification data packet to the external production operating system. The external production operating system can then match the corresponding operation instructions according to the verification data packet and send them to the guidance terminal before the truck arrives at the guidance terminal, so as to realize the truck's non-stop and seamless interaction.

[0014] Furthermore, the automated yard manned truck contactless interaction system also includes: The operation and maintenance management module is used to monitor the operating status of each front-end device in real time, and when an abnormal operation of a front-end device is detected, it remotely controls the power distribution unit through the network to power off and restart the abnormal device.

[0015] This specification also provides an electronic device, including: At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform: the aforementioned automated yard manned truck contactless interaction method.

[0016] Compared with the prior art, the beneficial effects that at least one technical solution adopted in the embodiments of this specification can achieve include at least: This application synchronizes the truck's passage data at the pre-entry level to the embedded identification terminal in advance, and uses a vehicle detection device to trigger image acquisition in the straight area behind the curve at the container yard entrance. This allows the truck to complete real-time data acquisition while in motion without stopping. Simultaneously, the embedded identification terminal performs real-time passage data recognition and comparison with the pre-entry level data in parallel, prioritizing the output of the first valid verification result. This effectively reduces recognition errors and avoids operational accidents caused by incorrect vehicle number recognition. After successful verification, the data is automatically uploaded to the production operating system, ensuring that work instructions are matched and pushed before the truck reaches the guidance terminal. This completely eliminates the parking verification process, removes entrance congestion, and enables zero-stop, contactless, and highly efficient collaborative operation of manned trucks in automated yards, significantly improving yard turnover efficiency and operational safety. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of a method for automated yard manned truck-to-truck contactless interaction in a specific embodiment of this application; Figure 2 This is a system architecture diagram of a specific embodiment of this application; Figure 3 This is a schematic diagram of the electronic device structure in a specific embodiment of this application. Detailed Implementation

[0019] The embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0020] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. This application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, in the absence of conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0021] It should be noted that various aspects of embodiments within the scope of the appended claims are described below. It will be apparent that the aspects described herein can be embodied in a wide variety of forms, and any particular structure and / or function described herein is merely illustrative. Based on this application, those skilled in the art will understand that one aspect described herein can be implemented independently of any other aspect, and two or more of these aspects can be combined in various ways. For example, any number and aspects set forth herein can be used to implement the device and / or practice the method. Additionally, this device and / or method can be implemented using structures and / or functionalities other than one or more of the aspects set forth herein.

[0022] It should also be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of this application. The drawings only show the components related to this application and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the shape, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0023] Additionally, specific details are provided in the following description to facilitate a thorough understanding of the examples. However, those skilled in the art will understand that practice can be carried out without these specific details.

[0024] Regarding existing automated yard manned truck interaction solutions, such as the prior art mentioned in the background section, through problem analysis and exploration of solutions, it was found that: On the one hand, the existing interactive mode requires trucks to stop at the entrance of the container area, and the vehicle number must be manually checked or the driver operates the terminal, which causes serious congestion during peak hours; the image capture is unstable and the recognition success rate is low.

[0025] Secondly, the existing solution relies solely on single-time recognition by local capture. If recognition fails due to external factors such as lighting or dirt, the entire interaction process is interrupted or requires manual intervention, resulting in poor efficiency and severely restricting the overall throughput capacity of the yard. It can no longer meet the urgent needs of automated yards for efficient circulation and unmanned management.

[0026] Further improvements to the parking verification scheme revealed that the existing interactive scheme requires sending personnel to the site for inspection or hardware replacement when drivers or algorithm models need to be upgraded. This results in high maintenance costs, slow response times, and severely impacts the yard's continuous operation capabilities.

[0027] In view of this, the embodiments of this specification propose a hardware and software integrated solution for seamless interaction between manned and container trucks in automated container yards. The overall idea is as follows: First, the pre-collected data of container truck passage at the intelligent gate system of the terminal is synchronously cached in the local embedded identification terminal. When the container truck enters the container area while in motion, the image acquisition device set in the straight section after the curve completes real-time image capture without stopping. Subsequently, the embedded identification terminal performs two operations in parallel during the movement of the container truck: local identification and image comparison with historical data. The first valid verification result is output as the identity authentication. After the verification is passed, the system immediately uploads the vehicle number and other verification data to the production operating system, so that the operation instructions are matched and pushed to the guidance terminal before the container truck arrives at the guidance terminal, thereby completely eliminating the stopping verification step and realizing zero-stop, seamless interaction for manned container trucks.

[0028] The technical solutions provided by the various embodiments of this application are described below with reference to the accompanying drawings.

[0029] like Figure 1 As shown in the embodiments of this specification, a contactless interaction method for manned trucks in an automated yard is provided, including: Step S10, Pre-data Synchronization Operation: Obtain and cache the pre-pass passage data of the truck through the standard interface.

[0030] Specifically, during the system initialization and routine operation phases, the system communicates with the data source or relevant database of the front-end checkpoints within the port area through a specific standard interface to obtain and cache the front-end checkpoint passage data of container trucks. For example, the terminal's intelligent checkpoint system will synchronize the front images and corresponding vehicle numbers of external container trucks collected during passage to this system in real time through a standard interface and cache them. The synchronization process is completed before the container trucks arrive at the container area entrance, ensuring that the embedded identification terminal has historical reference data available for use when the container trucks enter.

[0031] Step S20, Site Adaptive Capture: When the truck enters the straight section of the container area entrance while maintaining its driving state, the vehicle detection device set up in the straight section begins to sense the truck's passage status. Since the straight section is spatially adjacent to the rear of the container area entrance curve, when the truck turns from the curve into the straight section, the truck's trajectory is constrained by the road's physical boundaries and guide signs, allowing it to automatically correct its posture during driving, so that the front of the truck faces the preset shooting direction. When the vehicle detection device senses that the vehicle has entered a preset trigger boundary, it immediately sends a linkage trigger signal to the image acquisition device set above the straight section. After receiving the trigger signal, the image acquisition device captures images and video streams of the truck in motion, obtains real-time passage data including the panoramic view of the truck's front and the license plate area, and transmits it to the embedded recognition terminal.

[0032] It should be noted that the entire image acquisition process is completed while the truck is still moving; the truck does not need to slow down or stop.

[0033] Step S30, Parallel Verification of Dual Data Sources: After receiving the real-time traffic data, the embedded identification terminal performs two operations simultaneously and in parallel while the truck continues to move: First, it performs local identification operations on the real-time traffic data and outputs a first verification result containing vehicle number information. Second, it compares the real-time traffic data with the previous level crossing traffic data and outputs a second verification result. For example, it performs feature matching or similarity calculation between the currently captured truck front image and the historical truck front image synchronized at the level crossing to determine whether they are the same truck. If so, it retrieves the corresponding vehicle number from the cached data as the second verification result.

[0034] During the parallel execution of the two processes, the embedded identification terminal's result acceptance mechanism accepts the valid verification result that meets the confidence requirements and is output by either process first, and uses the valid verification result as the identity verification result. Preferably, if the local recognition operation outputs a valid vehicle number, the valid vehicle number is directly accepted as the identity verification result, and the ongoing cross-system comparison operation is terminated to release the computing resources it occupies; conversely, if the comparison operation completes image similarity matching first and outputs a consistency comparison result, the vehicle number in the preset cache data is directly accepted as the identity verification result, and the ongoing local recognition operation is terminated.

[0035] It should be noted that if both processing steps output valid verification results simultaneously, either one can be used as the identity verification result.

[0036] In addition, if neither of the two processing steps outputs a valid verification result within the preset time threshold, the data re-collection and secondary verification process can be triggered. The image acquisition device will be triggered again to collect the real-time passage data of the truck, and the local recognition operation and the comparison operation will be executed in parallel again until a valid identity verification result is obtained, or the abnormal reporting process will be entered after the preset retry limit is reached.

[0037] The above-mentioned parallel verification method using dual data sources not only achieves ultra-low latency response, but also provides dual redundancy verification for local identification by utilizing historical data from the preceding level crossing. This effectively avoids single identification errors caused by factors such as lighting and dirt, and greatly reduces the probability of misassignment or incorrect assignment of work instructions due to vehicle number recognition errors.

[0038] Step S40, Customized Data Linkage: When the identity verification result is passed, the container area entrance number, the verified vehicle number, and the collection time are encapsulated and combined to generate a unified verification data packet. The verification data packet is then uploaded to an external production operating system, such as the terminal production operating system. After receiving the verification data packet, the external production operating system matches the corresponding yard operation instruction based on the vehicle number in the verification data and accurately pushes the operation instruction to the on-site guidance terminal. The guidance terminal can present operation guidance information to the truck driver through a display screen or voice broadcast. The entire process, from identity verification to operation instruction acquisition, is completed without the need for the truck to stop. This fundamentally eliminates the traffic congestion problem at the container area entrance during peak operation periods and significantly improves the overall throughput capacity and overall turnover efficiency of the automated yard.

[0039] This embodiment establishes an end-to-end data linkage link, connecting the data channels of the terminal gate, the yard, and the terminal production operating system, breaking down information silos, realizing automatic matching and push of work instructions, achieving integrated collaborative operation of vehicles, machines, and systems, completely eliminating the parking verification process, and enabling trucks to pass through with zero stops.

[0040] In some embodiments, to ensure that the image acquisition device can obtain the optimal imaging field of view, the image acquisition device is controlled to perform downward or forward-looking capture on a preset cantilever structure suspended above the lane in the straight section. In order to eliminate the interference of vehicle body tilt, tail swing and changing light and shadow on license plate recognition and front image quality during vehicle turning, the straight-line distance between the capture center of the image acquisition device and the turning center of the container truck at the entrance curve of the container area is kept greater than 15 meters. This ensures that after the container truck has completely entered the straight section from the curve, the vehicle body and the front of the truck have sufficient space and time to be forcibly and automatically straightened and move forward in a straight line in the straight section area, so that the lens of the image acquisition device can be directly facing the front of the container truck, providing the edge terminal with high-definition, angular distortion-free real-time traffic images.

[0041] It should be noted that the cantilever structure can adopt an F-bar crossarm structure that is installed across lanes, with the image acquisition device mounted on the F-bar crossarm via a fixed bracket. Alternatively, other types of brackets that span multiple lanes can be used instead of the F-bar, depending on the specific site conditions.

[0042] In some embodiments, the step of using a vehicle detection device to sense vehicle passage and triggering an image acquisition device located in the straight section of the road to collect real-time passage data of the truck includes: By using inductive loops pre-embedded under the lanes in the straight section of the road, in conjunction with vehicle detectors set up on the roadside in the straight section of the road, the passage status of the truck is sensed; when the front wheel of the truck passes over the area where the inductive loop is located, the magnetic field of the road surface changes instantaneously, and the roadside vehicle detector captures the sudden change in this physical quantity, thereby accurately determining the vehicle's entry point, and at this time, the image acquisition device is triggered to perform dynamic image acquisition.

[0043] The image acquisition device can be an industrial-grade high-definition camera all-in-one unit or a smart camera with vehicle capture function. It can also be equipped with a supplementary lighting device to complete all-weather imaging. When the front wheel of the truck passes over the area where the ground induction coil is located, the system senses the truck's passage status and triggers the image acquisition device to perform dynamic image acquisition and activate the supplementary lighting device to compensate for the light effect of the truck's front without affecting the driver's vision.

[0044] In some embodiments, the automated yard manned truck contactless interaction method further includes: integrated operation and maintenance; Through the operation and maintenance management module or the monitoring resident process, the physical operation status and network connectivity status of various hardware devices located in the front-end intersection and straight road area are monitored in real time, including but not limited to image acquisition devices, integrated cameras, supplementary lights, embedded recognition terminals and industrial switches.

[0045] When any front-end device is detected to be malfunctioning, such as a program freezing or network communication failure, the power distribution unit (PDU) can be remotely controlled via the network to power off and restart the front-end device. After the device is powered off and restarted, it will automatically resume normal communication. There is no need to send technicians to the site, which will greatly shorten the fault repair time and reduce the on-site maintenance manpower cost.

[0046] In some embodiments, the automated yard manned truck contactless interaction method further includes: When a new recognition model is generated for incremental training, the new recognition model is silently downloaded to the embedded recognition terminal using the over-the-air (OTA) method. The embedded recognition terminal is controlled to automatically load the new recognition model during idle business periods to complete the firmware upgrade. The entire iteration process does not require replacing any front-end hardware or performing manual on-site debugging.

[0047] Through a decoupled hardware and software design, the system can be adapted to new license plate rules and operational requirements simply by upgrading the firmware, without replacing the front-end hardware, thus extending the system's lifespan and protecting the initial investment in the project.

[0048] The complete hardware layout and process logic provided in this application are designed for the specific scenario of automated yards. The equipment linkage logic is stable and can meet the usage requirements of 24-hour continuous operation in the yard.

[0049] In summary, this application provides a highly reliable, efficient, and easy-to-maintain manned truck-to-truck interaction solution for automated yards through a combination of "dedicated site layout + parallel verification of dual data sources + cross-system data linkage + integrated intelligent operation and maintenance".

[0050] The following is a more detailed description of this application.

[0051] This application provides a method for seamless interaction between manned and automated yard trucks, such as... Figure 2 As shown, it is divided into two parts: hardware system architecture and seamless interaction method. Basic image recognition, ground sensor triggering, supplementary lighting, general network transmission, and basic remote power supply control are all implemented using existing known technologies. The improvements of this invention focus on hardware combination layout, cross-system verification process, computing power scheduling, data linkage, and integrated operation and maintenance system.

[0052] The hardware component mainly includes a front-end sensing and supplementary lighting structure, a vehicle detection and triggering structure, an edge computing and power management structure, and supporting infrastructure structure, with some hardware components working together in coordination. The front-end sensing and supplementary lighting structure uses an industrial-grade high-definition camera as the image acquisition device, and is equipped with supplementary lighting equipment to complete all-weather imaging. The equipment is mounted on the F-bar crossarm by a fixed bracket. The vehicle detection and triggering structure consists of an inductive loop buried under the lane, which, together with a roadside vehicle detector, senses vehicle passage and triggers a camera to capture images. The edge computing and power management structure integrates an embedded identification terminal, an industrial switch, a network controller, and a power distribution unit (PDU) with remote control function in the roadside equipment box, which completes image processing, data transmission, and remote power supply management of the equipment. The supporting infrastructure structure includes an F-bar that supports all front-end equipment. It is fixedly installed in the straight section behind the bend at the entrance of the container area, and the straight-line distance between the F-bar and the center of the container truck's turn is greater than 15 meters. This utilizes the site layout to force the container truck's cab to be aligned, adapting to the capture conditions. The equipment cables use protective cables to complete data and power transmission.

[0053] The software component mainly includes a front-end perception module, an edge computing module, a business collaboration module, and a remote operation and maintenance module. Front-end data synchronization: The intelligent gate system at the dock will synchronize the front view of the vehicle and the corresponding vehicle number collected when the external card passes through to this system in real time and cache them. Site-adaptive capture: When a truck enters the container area entrance, the front of the truck is straightened due to the F-bar layout, and the vehicle detector triggers the camera to complete image acquisition; Parallel verification of dual data sources: The embedded recognition terminal performs two operations simultaneously: one is to recognize the locally captured image, and the other is to retrieve the cached data of the road crossing to complete the image comparison. The two operations are performed in parallel, and the first valid verification result is output first. Customized data linkage: After verification, the system combines the container area entrance number, vehicle identification number, and collection time into a unified data packet and uploads it to the terminal production operating system in real time; the terminal production operating system matches the pre-issued operation instructions according to the vehicle number and pushes them to the on-site guidance terminal; Integrated operation and maintenance and iteration: Administrators can remotely control the PDU via the network to restart the front-end equipment after a power outage; at the same time, the system supports incremental training of the recognition model and silently updates the terminal firmware via over-the-air (OTA) upgrades without replacing the front-end hardware.

[0054] Next, we will further illustrate this solution with specific examples.

[0055] Using the scenario of a manned container truck entering a designated container area of ​​an automated yard via a dock crossing for standard operations as an example, this section details how the system utilizes smart crossing data for dual verification to achieve highly efficient, high-precision, and seamless interaction: Step 1: Pre-processing and synchronization of front-end data Before the container truck arrives at the container area, the terminal's intelligent gate system completes the acquisition of images and vehicle numbers, and synchronizes the truck head image and the corresponding vehicle number data packet to this system in real time. A cache index is established in the embedded recognition terminal so that it can be quickly retrieved in the parallel verification stage. The specific algorithms used for the above image acquisition and basic recognition are all common technologies in this field, and this example will not elaborate on them.

[0056] Step 2: Front-end perception and physical induction As the truck approaches the entrance to the automated container yard, its cab automatically straightens due to the constraint of the F-bar installation position. Road markings guide the vehicle's normal driving, and after the ground induction coil detects the vehicle, it triggers the front-end camera to capture images.

[0057] Step 3: Edge computing and dual parallel verification The camera captures images and transmits them to the embedded recognition terminal. The terminal simultaneously performs two operations: local image recognition and comparison of cached images at the crossing. The two operations are performed in parallel, and the first verified result is accepted first to complete the identity verification.

[0058] Step 4: Business Collaboration and Command Issuance After successful verification, the system combines the container area entrance number, vehicle number, and time information into a unified data packet and uploads it to the terminal's production operating system. The system then matches the corresponding work instructions and pushes work guidance through the entrance guidance terminal, achieving seamless interaction without requiring the container truck to stop.

[0059] In addition to routine vehicle verification operations, this paper details how the system ensures business continuity through an integrated operation and maintenance solution in special operation and maintenance scenarios involving model iteration and remote self-healing, taking the implementation of new license plate rules at ports and occasional operational anomalies of front-end equipment as examples.

[0060] Scenario A: Incremental training of the model for the new license plate rules When the port implements new license plate rules, maintenance personnel select compliant image samples from historical data, perform incremental training based on the existing model, and generate a new model file. Subsequently, the system silently distributes the new model to all embedded recognition terminals via over-the-air (OTA) download. The terminals automatically load the new model during idle periods, eliminating the need for maintenance personnel to go to the yard or replace any front-end hardware.

[0061] Scenario B: Remote self-healing during equipment malfunction When front-end equipment, such as embedded recognition terminals and cameras, malfunctions, the central control room can detect the equipment abnormality through the remote operation and maintenance module. The management personnel can remotely control the power distribution unit (PDU) to cut off the power supply to the corresponding equipment and restart it. The equipment will then return to normal operation without the need for on-site maintenance, which will greatly shorten the equipment failure repair cycle and effectively ensure the 24-hour continuous operation requirements of the yard.

[0062] The remote operation and maintenance management server can also generate logs for all abnormal events and remote restart operations, which facilitates subsequent fault frequency statistics, equipment health assessments, and the development of preventive maintenance plans.

[0063] Based on the same inventive concept, this application also provides an automated yard manned truck contactless interaction system, comprising: The data synchronization module is used to synchronize the passage data of the truck at the front crossing to the embedded identification terminal in real time through a standard interface; An image acquisition device is installed in the straight section behind the curve at the entrance of the container area. It is used to collect real-time traffic data of the container truck when it passes through the straight section while maintaining its driving state. The straight section is used to constrain the truck's cab to automatically straighten while driving. A vehicle detection device is installed in the straight section and connected to the image acquisition device, used to trigger the image acquisition device to collect the real-time traffic data when a tollbooth is detected. An embedded identification terminal is used to receive and cache the passage data of the preceding checkpoint and to receive the real-time passage data, and to perform the following synchronously and in parallel during the truck's operation: to perform identification calculations on the real-time passage data and to perform comparison calculations between the real-time passage data and the passage data of the preceding checkpoint, and to take the first valid verification result as the identity verification result; The business collaboration module is used to upload the verification data of the truck to the production operating system when the identity verification result is passed, so that the production operating system can match the corresponding operation instructions according to the verification data before the truck reaches the guidance terminal, and push the operation instructions to the guidance terminal to realize the truck's non-stop and seamless interaction.

[0064] In some embodiments, the automated yard manned truck contactless interaction system further includes: The operation and maintenance management module is used to monitor the operating status of each front-end device in real time, and when an abnormal operation of a front-end device is detected, it remotely controls the power distribution unit through the network to power off and restart the abnormal device.

[0065] Based on the same inventive concept, this application also provides an electronic device, comprising: At least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform: an automated yard manned truck contactless interaction method as described in any embodiment of this application.

[0066] like Figure 3 As shown in the figure, the present application also provides a schematic diagram of the structure of an electronic device 500. The electronic device 500 is merely an example and should not be construed as limiting the function and scope of use of the embodiments of the present invention.

[0067] The electronic device 500 may include: at least one processor 510; and a memory 520 communicatively connected to the at least one processor; wherein the memory 520 stores instructions executable by the at least one processor 510, the instructions being executed by the at least one processor 510 to enable the at least one processor 510 to perform: the automated yard manned truck contactless interaction method according to any embodiment of this application.

[0068] It should be noted that the electronic device 500 can be represented in the form of a general-purpose computing device, such as a server device.

[0069] In practice, the components of electronic device 500 may include, but are not limited to: at least one processor 510, at least one memory 520, and a bus 530 connecting different system components (including memory 520 and processor 510), wherein bus 530 may include a data bus, an address bus, and a control bus.

[0070] In implementation, memory 520 may include volatile memory, such as random access memory (RAM) 5201 and / or cache memory 5202, and may further include read-only memory (ROM) 5203.

[0071] The memory 520 may also include a program tool 5205 having a set (at least one) of program modules 5204, including but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0072] The processor 510 performs various functional applications and data processing by running computer programs stored in the memory 520.

[0073] Electronic device 500 can also communicate with one or more external devices 540 (e.g., keyboard, pointing device, etc.). This communication can be performed through input / output (I / O) interface 550. Furthermore, electronic device 500 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public network, such as the Internet) via network adapter 560, which communicates with other modules in electronic device 500 via bus 530. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with electronic device 500, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems.

[0074] Based on the same inventive concept, this application also provides a computer storage medium storing computer-executable instructions, which, when executed by a processor, execute: the automated yard manned truck contactless interaction method described in any embodiment of this application.

[0075] In this specification, the same or similar parts between the various embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the descriptions of the embodiments described later are relatively simple, and relevant parts can be referred to the descriptions of the foregoing embodiments.

[0076] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for seamless interaction between manned and automated container trucks in an automated yard, characterized in that, include: The system obtains and caches the passage data of the truck's front crossing through the standard interface. When the truck enters the straight section of the container yard entrance while maintaining its driving state, the vehicle detection device senses the vehicle's passage and triggers the image acquisition device set in the straight section to collect the truck's real-time passage data. The straight section is located behind the curve at the container yard entrance and is used to constrain the truck to automatically straighten its front while driving. The real-time passage data is transmitted to the embedded identification terminal. The embedded identification terminal performs parallel verification calculations based on the real-time passage data and the passage data at the previous checkpoint during the truck's continuous driving process to obtain the identity verification result. When the identity verification result is passed, a verification data packet is generated and uploaded to the external production operating system. The external production operating system then matches the corresponding operation instruction with the verification data packet and sends it to the guidance terminal before the truck arrives at the guidance terminal, so as to realize the truck's non-stop and seamless interaction.

2. The automated yard manned truck contactless interaction method according to claim 1, characterized in that, The image acquisition device is controlled to capture images on a preset cantilever structure suspended above the lane in the straight section of the road. During the capture process, the straight-line distance between the capture position of the image acquisition device and the turning center of the container truck at the entrance of the container area should be greater than 15 meters.

3. The automated yard manned truck contactless interaction method according to claim 1, characterized in that, The process of using a vehicle detection device to sense vehicle passage and triggering an image acquisition device located in the straight section of the road to collect real-time passage data of the trucks includes: The passage status of the truck is sensed by using inductive loops buried under the lane and vehicle detectors set up on the roadside. When the card passage is detected, the image acquisition device is triggered to perform dynamic image acquisition.

4. The automated yard manned truck contactless interaction method according to claim 1, characterized in that, The parallel verification operation based on the dual data sources includes: The real-time traffic data is subjected to local identification calculation to output a first verification result, and the real-time traffic data is compared with the traffic data of the preceding checkpoint to output a second verification result. The first valid verification result output between the first verification result and the second verification result shall be accepted as the identity verification result.

5. The automated yard manned truck contactless interaction method according to claim 4, characterized in that, The acceptance of the first valid verification result obtained between the first verification result and the second verification result as the identity verification result includes: If the local identification operation outputs a valid vehicle number first, then the valid vehicle number is used as the identity verification result, and the ongoing comparison operation is terminated. If the comparison operation outputs a consistency comparison result first, then the vehicle number in the previous checkpoint passage data is used as the identity verification result, and the local identification operation being executed is terminated.

6. The automated yard manned truck contactless interaction method according to claim 1, characterized in that, The automated yard manned truck contactless interaction method also includes: Real-time monitoring of the operating status of each front-end device; When an abnormal operation of a front-end device is detected, the power distribution unit is remotely controlled via the network to power off and restart the abnormal device.

7. The automated yard manned truck contactless interaction method according to claim 1, characterized in that, The automated yard manned truck contactless interaction method also includes: When a new recognition model is generated for incremental training, the new recognition model is silently downloaded to the embedded recognition terminal using an over-the-air download method. The embedded recognition terminal is controlled to automatically load the new recognition model during idle periods to complete the firmware upgrade.

8. An automated yard manned truck contactless interaction system, characterized in that, include: The data synchronization module is used to acquire and cache the passage data of the truck's front crossing through a standard interface; An image acquisition device is installed in the straight section behind the curve at the entrance of the container area. It is used to collect real-time traffic data of the container truck when it passes through the straight section while maintaining its driving state. The straight section is used to constrain the container truck to automatically straighten its front end while driving. A vehicle detection device is installed in the straight section and connected to the image acquisition device. It is used to trigger the image acquisition device to collect the real-time traffic data when a tollbooth is detected. An embedded identification terminal is connected to the data synchronization module and the image acquisition device respectively. It is used to perform parallel verification calculations based on the real-time traffic data and the forward crossing traffic data during the continuous driving of the truck to obtain the identity verification result. The business collaboration module is used to generate a verification data packet when the identity verification result is passed, and upload the verification data packet to the external production operating system. The external production operating system can then match the corresponding operation instructions according to the verification data packet and send them to the guidance terminal before the truck arrives at the guidance terminal, so as to realize the truck's non-stop and seamless interaction.

9. The automated yard manned truck contactless interaction system according to claim 8, characterized in that, The automated yard manned truck contactless interaction system also includes: The operation and maintenance management module is used to monitor the operating status of each front-end device in real time, and when an abnormal operation of a front-end device is detected, it remotely controls the power distribution unit through the network to power off and restart the abnormal device.

10. An electronic device, characterized in that, include: At least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform: the automated yard manned truck contactless interaction method as described in any one of claims 1-7.

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