A terminal gate truck identification system

Abstract

The utility model discloses a wharf portal truck identification system, include: set up on the safety island of each wharf portal both sides low frequency activator and camera device, set up on each wharf portal top microwave active RFID read-write ware, set up in control room host computer, low frequency activator activates the microwave active label of truck license plate built -in, makes it to empty send data packet, microwave active RFID read-write ware receives data packet, camera device gathers image data, host computer receives data packet, truck's image data, carries out comprehensive analysis, identifies truck information, the portal that truck went in and truck advancing direction to, and verifies truck information, the utility model provides a wharf portal truck identification system, has combined RFID transmission technology, low frequency activation technology and image recognition technology, carries out accurate identification and check to the container truck information and the direction of passage of wharf portal, can promote the efficiency of portal traffic, ensures the effective supervision of port wharf to truck vehicle.

Description

Technical Field

[0001] This utility model relates to the field of truck identification, and in particular to a truck identification system for dock crossings. Background Technology

[0002] Currently, there are two main solutions for identifying container trucks at dock crossings: RFID electronic license plate recognition and OCR physical license plate recognition. Each of these methods has its own advantages and disadvantages.

[0003] RFID identification methods have the following disadvantages: UHF RFID identification is slow, which is not conducive to the rapid passage of trucks through level crossings; microwave RFID identification distance is uncontrollable, and misreading is easy when multiple electronic license plates are nearby. Especially in the field of truck applications, it is easily affected by electromagnetic interference from the engine under the truck cab and the shielding, reflection and diffraction of the metal carriage, which can cause deviations in signal distance and direction.

[0004] OCR identification has the following disadvantages: the identification scene is greatly affected by weather and light; it cannot effectively identify fake license plates and cloned vehicles; and its identification accuracy is not as high as RFID.

[0005] Furthermore, simple license plate recognition can only confirm the license plate number of the truck, but it cannot further verify the truck information, nor can it identify and warn of safety risks to the truck. Utility Model Content

[0006] In view of the above-mentioned shortcomings of the current technology, this utility model provides a container truck identification system for port crossings, which combines active RFID transmission technology, passive RFID low-frequency activation technology and image recognition technology to accurately identify and verify the information and direction of container trucks at port crossings, thereby improving the efficiency of crossing traffic and ensuring effective supervision of container trucks by port terminals.

[0007] To achieve the above objectives, the embodiments of this utility model adopt the following technical solutions:

[0008] A truck identification system for dock crossings includes: low-frequency activators and cameras installed on safety islands on both sides of each dock crossing; microwave active RFID readers installed above each dock crossing; and a host computer installed in the control room.

[0009] The low-frequency activator has a unique address code;

[0010] The low-frequency activator is used to activate the microwave active tag built into the truck's license plate and send the low-frequency activator address code to the microwave active tag, so that the microwave active tag sends a data packet containing truck information and the low-frequency activator address code into the air.

[0011] The microwave active RFID reader is used to receive data packets containing collection card information and low-frequency activator address codes sent by microwave active tags, and forward them to the host computer.

[0012] The camera device is used to collect image data of the truck and send it to the host computer.

[0013] The host computer is used to receive data packets containing truck information and low-frequency activator address codes, as well as truck image data, perform comprehensive analysis, identify truck information, the roadway the truck has entered, and the truck's direction of travel, and verify the truck information.

[0014] According to one aspect of this utility model, the truck is equipped with an electronic license plate with a built-in microwave active tag.

[0015] According to one aspect of the present invention, the low-frequency activator emits a low-frequency pulse signal with an address code.

[0016] According to one aspect of the present invention, the microwave active tag is activated after receiving a low-frequency pulse signal and transmits a data packet containing the card information and the low-frequency activator address code into the air.

[0017] According to one aspect of this utility model, the host computer uses image recognition technology to analyze the image data of the truck and identify the truck's license plate number and direction of travel.

[0018] According to one aspect of this utility model, the dock crossing truck identification system further includes:

[0019] The host computer also uses image recognition technology to analyze the image data of the truck, identify safety risks of the truck, and issue early warnings.

[0020] According to one aspect of this utility model, the host computer analyzes the image data of the container truck based on a convolutional neural network and a multi-task processing method to identify the container truck license plate number, the container truck's direction of travel, and the container truck's safety risks.

[0021] According to one aspect of the present invention, the dock crossing truck identification system further includes: a weighbridge installed at each dock crossing for weighing the trucks and sending the truck load information to a host computer.

[0022] According to one aspect of this utility model, the host computer also receives the truck load information, verifies it against the truck information, identifies the risk of truck overload, and issues an early warning.

[0023] According to one aspect of the present invention, the system further includes:

[0024] Information display screens are set up at level crossings to show truck drivers relevant information about their trucks;

[0025] Establish a container truck archive database in the host computer to create electronic archives for container trucks;

[0026] Establish a container truck scheduling and management center in the host computer to schedule and manage container trucks;

[0027] Establish a data analysis center in the host computer to record and analyze the aggregated data.

[0028] Advantages of this utility model:

[0029] This utility model provides a container truck identification system for port crossings, which combines active RFID transmission technology, passive RFID low-frequency activation technology, and image recognition technology. It is suitable for single-level or multi-level crossings operating in parallel and in multiple directions. It can accurately identify and verify the information and direction of container trucks at port crossings, improve the efficiency of crossing traffic, effectively prevent the interference problem of adjacent roads that occurs in traditional active RFID electronic license plate solutions, and upgrade one-way crossings to two-way crossings, ensuring effective supervision of container trucks by port terminals.

[0030] This system also has extended functions such as setting up information display screens, establishing a container truck file database, and establishing a container truck dispatch management center, which can better realize comprehensive and efficient management of container trucks entering and leaving the terminal, and provide strong support for the safe and smooth operation of the port area. Attached Figure Description

[0031] To more clearly illustrate the technical solutions in the embodiments of this utility model, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0032] Figure 1 This is a schematic diagram of the structure of a dock crossing truck identification system as described in Embodiment 1 or 2 of this utility model;

[0033] Figure 2 This is a schematic diagram of the structure of a dock crossing truck identification system according to Embodiment 3 of this utility model. Detailed Implementation

[0034] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0035] Example 1

[0036] like Figure 1 As shown, a truck identification system for dock crossings is characterized by comprising: a low-frequency activator and a camera device installed on the safety islands on both sides of each dock crossing; a microwave active RFID reader installed above each dock crossing; and a host computer installed in the control room.

[0037] In practical applications, this system identifies trucks equipped with electronic license plates featuring built-in microwave active tags. Specifically, these microwave active tags, in addition to 2.4GHz microwave band communication capabilities, also feature 125kHz low-frequency activation. These microwave tags not only possess powerful data transmission capabilities, enabling high-efficiency, high-capacity data transmission to meet the information exchange needs in complex environments, but also intelligently enter a sleep mode when not in operation, significantly reducing energy consumption and effectively extending equipment lifespan, demonstrating a perfect combination of high efficiency and low power consumption.

[0038] The low-frequency activator is used to activate the microwave active tag built into the truck's license plate and send the low-frequency activator address code to the microwave active tag, causing the microwave active tag to transmit a data packet containing truck information and the low-frequency activator address code into the air. Each low-frequency activator has a unique address code. The 125kHz low-frequency activator has the advantages of precise controllable signal range, strong anti-interference ability, and strong signal diffraction ability, making it difficult to be shielded.

[0039] In practical applications, this system can utilize commercially available low-frequency activators. These activators are installed on safety islands on both sides of each dock crossing, with one unit on each island. Each activator emits a 125kHz low-frequency pulse signal carrying an address code. When a truck approaches the crossing, its electronic license plate's microwave active tag is activated upon receiving the low-frequency pulse signal from the activator. The microwave active tag then transmits an active signal data packet containing the truck's information and the activator's address code into the air.

[0040] The low-frequency pulse signal sent by the low-frequency activator is usually adjusted within the range of 0.3-8 meters. Therefore, the signal received by the truck usually comes from the two activators on both sides of the level crossing where it is located, or includes one activator on each of the adjacent level crossings. The data packet sent by the microwave active tag of the truck will include 2 to 4 activator address codes, based on which the actual level crossing where the truck is located can be analyzed.

[0041] The 125KHz low-frequency activation signal has advantages such as strong anti-electromagnetic interference, large diffraction range, and difficulty in being shielded. Through multi-point positioning, the location of electronic license plates can be accurately confirmed, effectively solving the drawbacks of RFID identification for large vehicles passing through dock crossings.

[0042] The microwave active RFID reader is used to receive data packets containing card information and low-frequency activator address codes sent by microwave active tags, and forward them to the host computer.

[0043] A microwave active RFID reader with an omnidirectional antenna is installed above the center of each road intersection to read active microwave signals transmitted from all directions.

[0044] After receiving the data packet, the microwave active RFID reader reports it to the host computer. The host computer, using the truck information and 2-4 activator address codes in the data packet, can obtain the truck's vehicle information and analyze it to determine which lane the truck entered. This system can accurately locate the lane corresponding to the truck when multiple lanes with close spacing are open to traffic simultaneously.

[0045] Using RFID identification, the data packet can contain not only the truck license plate number, but also the truck driver's identity, load information, etc. Compared with simply using OCR to identify the license plate number, it can obtain more and more comprehensive information about the truck, thereby enabling the truck to be checked and verified.

[0046] In addition, this system can utilize camera devices and image recognition technology to supplement and verify vehicle information. The camera devices are used to collect image data of the trucks and send it to the host computer.

[0047] In practical applications, camera devices are installed on safety islands on both sides of each dock entrance, facing the direction from which trucks are approaching, to capture frontal photos of the trucks and send them to a host computer. The host computer uses image recognition technology, such as convolutional neural networks, to analyze the image data of the trucks and can identify the truck license plate number and the direction of travel. In addition, the host computer can also use facial recognition technology to identify the faces of the truck drivers.

[0048] The host computer is used to receive data packets containing truck information and low-frequency activator address codes, as well as truck image data, perform comprehensive analysis, identify truck information, the roadway the truck has entered, and the truck's direction of travel, and verify the truck information.

[0049] The host computer acquires data packets via RFID to obtain truck information such as license plate number, driver identity, and load information, and analyzes and determines the crossing the truck has entered. The host computer also uses image recognition to obtain and identify the truck's license plate number and direction of travel. Combining the information obtained through both methods, the host computer can verify whether the truck's license plate is counterfeit or unlicensed; and compare the truck information with the identified direction of travel and driver's face to verify consistency.

[0050] Preferably, the system may also include a barrier gate installed at the dock entrance to identify and verify the trucks, and release the trucks after confirming that there are no errors.

[0051] If trucks are allowed to pass directly, their speed may be too fast and their passage too short, making effective identification and verification difficult. Therefore, in practice, barriers are usually installed to stop trucks, and they are only allowed to pass after identification and verification.

[0052] The system can automate the process; once a truck passes verification, it is automatically released. For unauthorized vehicles, trucks with mismatched license plates, or other abnormal situations, the system automatically triggers an alarm mechanism to notify management personnel for handling.

[0053] Preferably, the system can also be configured with the following extended functions:

[0054] Information display screens are set up at level crossings to show truck drivers information such as traffic status, work tasks, and safety tips.

[0055] A container truck file database is established in the host computer to create a detailed electronic file for each container truck, including basic information about the truck, driver information, transportation qualifications, etc., so as to facilitate unified management and query.

[0056] A truck dispatch and management center is established in the host computer. Based on the real-time monitoring and collection of information such as the location and driving status of trucks in the port area by the camera device, the trucks are dispatched and managed to reduce truck waiting time and improve truck passage efficiency.

[0057] A data analysis center is established in the host computer to record and statistically analyze the traffic data of container trucks, including the entry and exit time and dwell time of each truck. The traffic data is analyzed to obtain the traffic flow situation at the port area intersections, providing decision support for optimizing traffic organization and data basis for port area management.

[0058] The system can also be integrated with the terminal operating system to enable automatic allocation, scheduling and tracking of truck operation tasks, thereby improving operational efficiency.

[0059] The system can also be integrated with the financial system to enable automatic settlement of card payment fees and issuance of invoices, simplifying financial processes.

[0060] In addition, related mobile applications can be developed and integrated into this system to provide truck drivers with services such as reservation for passage, querying work tasks, and receiving notifications, thereby improving the user experience.

[0061] The beneficial effects of this embodiment are as follows: This system combines active RFID transmission technology, passive RFID low-frequency activation technology and image recognition technology. It is suitable for terminal crossings with single or multiple crossings operating in parallel and in multiple directions. It can accurately identify and verify the information of container trucks and their direction of travel at the terminal crossing, improve the efficiency of crossing traffic, effectively prevent the problem of adjacent road interference that occurs in traditional active RFID electronic license plate solutions, and upgrade one-way crossings to two-way crossings, ensuring effective supervision of container trucks by port terminals.

[0062] This system incorporates a 125kHz low-frequency activation anti-interference scheme for microwave band RFID electronic license plates. The 125kHz low-frequency activation signal has the advantages of strong anti-electromagnetic interference, large diffraction range, and is not easily shielded. Through multi-point positioning, the location of the electronic license plate can be accurately confirmed, effectively solving the shortcomings of RFID identification for large vehicles passing through port intersections.

[0063] This system also has extended functions such as setting up information display screens, establishing a container truck file database, and establishing a container truck dispatch management center, which can better realize comprehensive and efficient management of container trucks entering and leaving the terminal, and provide strong support for the safe and smooth operation of the port area.

[0064] Example 2

[0065] like Figure 1 As shown, a truck identification system for dock crossings is characterized by comprising: a low-frequency activator and a camera device installed on the safety islands on both sides of each dock crossing; a microwave active RFID reader installed above each dock crossing; and a host computer installed in the control room.

[0066] In practical applications, this system identifies trucks equipped with electronic license plates featuring built-in microwave active tags. These tags, in addition to 2.4GHz microwave band communication capabilities, also feature 125kHz low-frequency activation. These microwave tags not only possess powerful data transmission capabilities, enabling high-efficiency, high-capacity data transmission to meet the information exchange needs in complex environments, but also intelligently enter a sleep mode when not in operation, significantly reducing energy consumption and effectively extending equipment lifespan, demonstrating a perfect combination of high efficiency and low power consumption.

[0067] The low-frequency activator is used to activate the microwave active tag built into the truck's license plate and send the low-frequency activator address code to the microwave active tag, causing the microwave active tag to transmit a data packet containing truck information and the low-frequency activator address code into the air. Each low-frequency activator has a unique address code. The 125kHz low-frequency activator has the advantages of precise controllable signal range, strong anti-interference ability, and strong signal diffraction ability, making it difficult to be shielded.

[0068] In practical applications, this system can utilize commercially available low-frequency activators. These activators are installed on safety islands on both sides of each dock crossing, with one unit on each island. Each activator emits a 125kHz low-frequency pulse signal carrying an address code. When a truck approaches the crossing, its electronic license plate's microwave active tag is activated upon receiving the low-frequency pulse signal from the activator. The microwave active tag then transmits an active signal data packet containing the truck's information and the activator's address code into the air.

[0069] The low-frequency pulse signal sent by the low-frequency activator is usually adjusted within the range of 0.3-8 meters. Therefore, the signal received by the truck usually comes from the two activators on both sides of the level crossing where it is located, or includes one activator on each of the adjacent level crossings. The data packet sent by the microwave active tag of the truck will include 2 to 4 activator address codes, based on which the actual level crossing where the truck is located can be analyzed.

[0070] The 125KHz low-frequency activation signal has advantages such as strong anti-electromagnetic interference, large diffraction range, and difficulty in being shielded. Through multi-point positioning, the location of electronic license plates can be accurately confirmed, effectively solving the drawbacks of RFID identification for large vehicles passing through dock crossings.

[0071] The microwave active RFID reader is used to receive data packets containing card information and low-frequency activator address codes sent by microwave active tags, and forward them to the host computer.

[0072] A microwave active RFID reader with an omnidirectional antenna is installed above the center of each road intersection to read active microwave signals transmitted from all directions.

[0073] After receiving the data packet, the microwave active RFID reader reports it to the host computer. The host computer, using the truck information and 2-4 activator address codes in the data packet, can obtain the truck's vehicle information and analyze it to determine which lane the truck entered. This system can accurately locate the lane corresponding to the truck when multiple lanes with close spacing are open to traffic simultaneously.

[0074] Using RFID identification, the data packet can contain not only the truck license plate number, but also the truck driver's identity, load information, etc. Compared with simply using OCR to identify the license plate number, it can obtain more and more comprehensive information about the truck, thereby enabling the truck to be checked and verified.

[0075] In addition, this system can utilize camera devices and image recognition technology to supplement and verify vehicle information. The camera devices are used to collect image data of the trucks and send it to the host computer.

[0076] In practical applications, camera devices are installed on safety islands on both sides of each dock entrance, facing the direction from which trucks are approaching, to capture frontal photos of the trucks and send them to a host computer. The host computer uses image recognition technology, such as convolutional neural networks, to analyze the image data of the trucks and can identify the truck license plate number and the direction of travel. In addition, the host computer can also use facial recognition technology to identify the faces of the truck drivers.

[0077] The host computer is used to receive data packets containing truck information and low-frequency activator address codes, as well as truck image data, perform comprehensive analysis, identify truck information, the roadway the truck has entered, and the truck's direction of travel, and verify the truck information.

[0078] The host computer acquires data packets via RFID to obtain truck information such as license plate number, driver identity, and load information, and analyzes and determines the crossing the truck has entered. The host computer also uses image recognition to obtain and identify the truck's license plate number and direction of travel. Combining the information obtained through both methods, the host computer can verify whether the truck's license plate is counterfeit or unlicensed; and compare the truck information with the identified direction of travel and driver's face to verify consistency.

[0079] Furthermore, the host computer can also use image recognition technology to analyze the image data of the container trucks, identify safety risks, and issue timely warnings. Specifically, convolutional neural networks can be used to analyze the acquired video images, first identifying the location of the container truck, and then further analyzing the truck images to identify whether there are safety risks associated with the container truck's loading, such as improper container placement, exceeding the truck's loading capacity limit, or the risk of the container falling off. Deep learning models such as Faster R-CNN and YOLO can be used in this process.

[0080] Preferably, the host computer can also analyze the image data of the container truck based on convolutional neural networks and multi-task processing methods to identify the truck license plate number, the truck's direction of travel, and the truck's safety risks. Specifically, when analyzing the acquired video images using a convolutional neural network, after feature extraction, a multi-task branch network can be constructed to handle multiple tasks, including identifying and locating the container truck, obtaining the truck license plate location, and then identifying the truck license plate number, the truck's direction of travel, and the truck's safety risks.

[0081] Preferably, the system may also include a barrier gate installed at the dock entrance to identify and verify the trucks, and release the trucks after confirming that there are no errors.

[0082] If trucks are allowed to pass directly, their speed may be too fast and their passage too short, making effective identification and verification difficult. Therefore, in practice, barriers are usually installed to stop trucks, and they are only allowed to pass after identification and verification.

[0083] The system can automate the process; once a truck passes verification, it is automatically released. For unauthorized vehicles, trucks with mismatched license plates, or other abnormal situations, the system automatically triggers an alarm mechanism to notify management personnel for handling.

[0084] Preferably, the system can also be configured with the following extended functions:

[0085] Information display screens are set up at level crossings to show truck drivers information such as traffic status, work tasks, and safety tips.

[0086] A container truck file database is established in the host computer to create a detailed electronic file for each container truck, including basic information about the truck, driver information, transportation qualifications, etc., so as to facilitate unified management and query.

[0087] A truck dispatch and management center is established in the host computer. Based on the real-time monitoring and collection of information such as the location and driving status of trucks in the port area by the camera device, the trucks are dispatched and managed to reduce truck waiting time and improve truck passage efficiency.

[0088] A data analysis center is established in the host computer to record and statistically analyze the traffic data of container trucks, including the entry and exit time and dwell time of each truck. The traffic data is analyzed to obtain the traffic flow situation at the port area intersections, providing decision support for optimizing traffic organization and data basis for port area management.

[0089] The system can also be integrated with the terminal operating system to enable automatic allocation, scheduling and tracking of truck operation tasks, thereby improving operational efficiency.

[0090] The system can also be integrated with the financial system to enable automatic settlement of card payment fees and issuance of invoices, simplifying financial processes.

[0091] In addition, related mobile applications can be developed and integrated into this system to provide truck drivers with services such as reservation for passage, querying work tasks, and receiving notifications, thereby improving the user experience.

[0092] The beneficial effects of this embodiment are as follows: This system also applies image recognition technology to analyze the image data of container trucks, identify container truck safety risks, and provide timely early warnings and reminders, which can effectively reduce the probability of container truck accidents and ensure transportation safety.

[0093] Example 3

[0094] like Figure 2As shown, a truck identification system for dock crossings is characterized by comprising: a low-frequency activator and a camera device installed on the safety islands on both sides of each dock crossing; a microwave active RFID reader installed above each dock crossing; a weighbridge installed at each dock crossing; and a host computer installed in the control room.

[0095] In practical applications, this system identifies trucks equipped with electronic license plates featuring built-in microwave active tags. These tags, in addition to 2.4GHz microwave band communication capabilities, also feature 125kHz low-frequency activation. These microwave tags not only possess powerful data transmission capabilities, enabling high-efficiency, high-capacity data transmission to meet the information exchange needs in complex environments, but also intelligently enter a sleep mode when not in operation, significantly reducing energy consumption and effectively extending equipment lifespan, demonstrating a perfect combination of high efficiency and low power consumption.

[0096] The low-frequency activator is used to activate the microwave active tag built into the truck's license plate and send the low-frequency activator address code to the microwave active tag, causing the microwave active tag to transmit a data packet containing truck information and the low-frequency activator address code into the air. Each low-frequency activator has a unique address code. The 125kHz low-frequency activator has the advantages of precise controllable signal range, strong anti-interference ability, and strong signal diffraction ability, making it difficult to be shielded.

[0097] In practical applications, this system can utilize commercially available low-frequency activators. These activators are installed on safety islands on both sides of each dock crossing, with one unit on each island. Each activator emits a 125kHz low-frequency pulse signal carrying an address code. When a truck approaches the crossing, its electronic license plate's microwave active tag is activated upon receiving the low-frequency pulse signal from the activator. The microwave active tag then transmits an active signal data packet containing the truck's information and the activator's address code into the air.

[0098] The low-frequency pulse signal sent by the low-frequency activator is usually adjusted within the range of 0.3-8 meters. Therefore, the signal received by the truck usually comes from the two activators on both sides of the level crossing where it is located, or includes one activator on each of the adjacent level crossings. The data packet sent by the microwave active tag of the truck will include 2 to 4 activator address codes, based on which the actual level crossing where the truck is located can be analyzed.

[0099] The 125KHz low-frequency activation signal has advantages such as strong anti-electromagnetic interference, large diffraction range, and difficulty in being shielded. Through multi-point positioning, the location of electronic license plates can be accurately confirmed, effectively solving the drawbacks of RFID identification for large vehicles passing through dock crossings.

[0100] The microwave active RFID reader is used to receive data packets containing card information and low-frequency activator address codes sent by microwave active tags, and forward them to the host computer.

[0101] A microwave active RFID reader with an omnidirectional antenna is installed above the center of each road intersection to read active microwave signals transmitted from all directions.

[0102] After receiving the data packet, the microwave active RFID reader reports it to the host computer. The host computer, using the truck information and 2-4 activator address codes in the data packet, can obtain the truck's vehicle information and analyze it to determine which lane the truck entered. This system can accurately locate the lane corresponding to the truck when multiple lanes with close spacing are open to traffic simultaneously.

[0103] Using RFID identification, the data packet can contain not only the truck license plate number, but also the truck driver's identity, load information, etc. Compared with simply using OCR to identify the license plate number, it can obtain more and more comprehensive information about the truck, thereby enabling the truck to be checked and verified.

[0104] In addition, this system can utilize camera devices and image recognition technology to supplement and verify vehicle information. The camera devices are used to collect image data of the trucks and send it to the host computer.

[0105] In practical applications, camera devices are installed on safety islands on both sides of each dock entrance, facing the direction from which trucks are approaching, to capture frontal photos of the trucks and send them to a host computer. The host computer uses image recognition technology, such as convolutional neural networks, to analyze the image data of the trucks and can identify the truck license plate number and the direction of travel. In addition, the host computer can also use facial recognition technology to identify the faces of the truck drivers.

[0106] The host computer is used to receive data packets containing truck information and low-frequency activator address codes, as well as truck image data, perform comprehensive analysis, identify truck information, the roadway the truck has entered, and the truck's direction of travel, and verify the truck information.

[0107] The host computer acquires data packets via RFID to obtain truck information such as license plate number, driver identity, and load information, and analyzes and determines the crossing the truck has entered. The host computer also uses image recognition to obtain and identify the truck's license plate number and direction of travel. Combining the information obtained through both methods, the host computer can verify whether the truck's license plate is counterfeit or unlicensed; and compare the truck information with the identified direction of travel and driver's face to verify consistency.

[0108] Furthermore, the host computer can also use image recognition technology to analyze the image data of the container trucks, identify safety risks, and issue early warnings. Specifically, convolutional neural networks can be used to analyze the acquired video images, first identifying the location of the container truck, and then further analyzing the truck images to identify whether there are safety risks associated with the container truck's loading, such as improper container placement, exceeding the truck's loading capacity limit, or the risk of the container falling off. Deep learning models such as Faster R-CNN and YOLO can be used in this process.

[0109] Preferably, the host computer can also analyze the image data of the container truck based on convolutional neural networks and multi-task processing methods to identify the truck license plate number, the truck's direction of travel, and the truck's safety risks. Specifically, when analyzing the acquired video images using a convolutional neural network, after feature extraction, a multi-task branch network can be constructed to handle multiple tasks, including identifying and locating the container truck, obtaining the truck license plate location, and then identifying the truck license plate number, the truck's direction of travel, and the truck's safety risks.

[0110] In addition, the system may also include: weighbridges set up at various dock crossings to weigh trucks and send the truck load information to the host computer.

[0111] The host computer can also receive truck load information from the weighbridge, verify it against truck information obtained through electronic license plates, identify overload risks, and issue timely warnings. Furthermore, the host computer can comprehensively assess weighbridge warnings with truck safety risks identified through image recognition technology, and issue timely warnings. The host computer can also determine the level crossing where the truck is located based on weighbridge weighing information, and compare and verify the results with those from RFID and image recognition.

[0112] Preferably, the system may also include a barrier gate installed at the dock entrance to identify and verify the trucks, and release the trucks after confirming that there are no errors.

[0113] If trucks are allowed to pass directly, their speed may be too fast and their passage too short, making effective identification and verification difficult. Therefore, in practice, barriers are usually installed to stop trucks, and they are only allowed to pass after identification and verification.

[0114] The system can automate the process; once a truck passes verification, it is automatically released. For unauthorized vehicles, trucks with mismatched license plates, or other abnormal situations, the system automatically triggers an alarm mechanism to notify management personnel for handling.

[0115] Preferably, the system can also be configured with the following extended functions:

[0116] Information display screens are set up at level crossings to show truck drivers information such as traffic status, work tasks, and safety tips.

[0117] A container truck file database is established in the host computer to create a detailed electronic file for each container truck, including basic information about the truck, driver information, transportation qualifications, etc., so as to facilitate unified management and query.

[0118] A truck dispatch and management center is established in the host computer. Based on the real-time monitoring and collection of information such as the location and driving status of trucks in the port area by the camera device, the trucks are dispatched and managed to reduce truck waiting time and improve truck passage efficiency.

[0119] A data analysis center is established in the host computer to record and statistically analyze the traffic data of container trucks, including the entry and exit time and dwell time of each truck. The traffic data is analyzed to obtain the traffic flow situation at the port area intersections, providing decision support for optimizing traffic organization and data basis for port area management.

[0120] The system can also be integrated with the terminal operating system to enable automatic allocation, scheduling and tracking of truck operation tasks, thereby improving operational efficiency.

[0121] The system can also be integrated with the financial system to enable automatic settlement of card payment fees and issuance of invoices, simplifying financial processes.

[0122] In addition, related mobile applications can be developed and integrated into this system to provide truck drivers with services such as reservation for passage, querying work tasks, and receiving notifications, thereby improving the user experience.

[0123] The beneficial effects of this embodiment are as follows: This system also uses a weighbridge to identify the risk of truck overloading and to provide timely warnings, which can effectively reduce the probability of truck accidents and ensure transportation safety.

[0124] The above description is merely a specific embodiment of this utility model, but the protection scope of this utility model 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 utility model should be included within the protection scope of this utility model. Therefore, the protection scope of this utility model should be determined by the protection scope of the claims.

Claims

1. A truck identification system for dock crossings, characterized in that, include: Low-frequency activators and camera devices are installed on the safety islands on both sides of each dock crossing; microwave active RFID readers are installed above each dock crossing; and a host computer is installed in the control room. The low-frequency activator has a unique address code; The low-frequency activator is used to activate the microwave active tag built into the truck's license plate and send the low-frequency activator address code to the microwave active tag, so that the microwave active tag sends a data packet containing truck information and the low-frequency activator address code into the air. The microwave active RFID reader is used to receive data packets containing collection card information and low-frequency activator address codes sent by microwave active tags, and forward them to the host computer. The camera device is used to collect image data of the truck and send it to the host computer. The host computer is used to receive data packets containing truck information and low-frequency activator address codes, as well as truck image data, perform comprehensive analysis, identify truck information, the roadway the truck has entered, and the truck's direction of travel, and verify the truck information.

2. The dock crossing truck identification system according to claim 1, characterized in that, The truck is equipped with an electronic license plate with a built-in microwave active tag.

3. The dock crossing truck identification system according to claim 2, characterized in that, The low-frequency activator emits a low-frequency pulse signal with an address code.

4. The dock crossing truck identification system according to claim 3, characterized in that, The microwave active tag is activated after receiving a low-frequency pulse signal and sends a data packet containing the collection card information and the address code of the low-frequency activator into the air.

5. The dock crossing truck identification system according to claim 1, characterized in that, The host computer uses image recognition technology to analyze the image data of the truck and identify the truck's license plate number and direction of travel.

6. The dock crossing truck identification system according to claim 5, characterized in that, The dock crossing truck identification system also includes: The host computer also uses image recognition technology to analyze the image data of the truck, identify safety risks of the truck, and issue early warnings.

7. The dock crossing truck identification system according to claim 6, characterized in that, The host computer analyzes the image data of the container trucks based on convolutional neural networks and multi-task processing methods to identify the truck license plate number, the direction of travel, and the safety risks of the container trucks.

8. The dock crossing truck identification system according to claim 1, characterized in that, The dock crossing truck identification system also includes: weighbridges installed at each dock crossing for weighing trucks and sending the truck load information to the host computer.

9. The dock crossing truck identification system according to claim 8, characterized in that, The host computer also receives the truck's load information, verifies it against the truck's information, identifies the risk of truck overloading, and issues early warnings.

10. The dock crossing truck identification system according to claim 1, characterized in that, The system also includes: Information display screens are set up at level crossings to show truck drivers relevant information about their trucks; Establish a container truck archive database in the host computer to create electronic archives for container trucks; Establish a container truck scheduling and management center in the host computer to schedule and manage container trucks; Establish a data analysis center in the host computer to record and analyze the aggregated data.

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