Expressway toll station remote seat guarding and special situation vehicle handling system

Abstract

The invention is suitable for the technical field of toll station management, and provides an expressway toll station remote seat guarding and special situation vehicle handling system, which comprises a front-end sensing layer, a rear-end sensing layer and a control layer, the lane equipment comprises a photoelectric sensor, an infrared height limit alarm, a license plate recognition camera, an ETC antenna, an acousto-optic warning ball and a self-service equipment sensor; the network transmission layer is connected with lane equipment, a sentry box cabinet, a machine room core switch and a monitoring center through an optical fiber network; the remote control layer is composed of a remote seat center, and the remote seat center can carry out video monitoring, visual intercom and remote control; and the abnormity alarm layer is used for carrying out early warning on vehicle detention, vehicle height exceeding, ETC passing faults, toll evasion vehicles and handrail abnormity. The vehicle state can be sensed in real time, data are gathered to a remote seat center through a network transmission layer, an information island is broken, and special conditions can be automatically processed.

Description

Technical Field

[0001] The present invention relates to the technical field of toll station management, and in particular to a system for remote seat attendance and special vehicle handling at a highway toll station. Background Art

[0002] With the continuous growth of highway traffic volume, toll stations, as key nodes in road traffic management, face increasingly complex operational challenges. The traditional toll station management model relies on manual staffing, which presents the following problems: 1. High labor costs: Manual staffing requires 24-hour shifts, which requires a large manpower investment and is easily affected by factors such as fatigue and emotions, resulting in unstable service efficiency. 2. Low efficiency in handling special situations: Special situations such as vehicle detention, ETC failures, and toll evasion rely on the experience and judgment of on-site personnel. The handling process is not standardized and can easily lead to congestion or disputes. 3. Serious information silos: Lane equipment (such as license plate recognition and height limit alarms) has scattered data and lacks a unified management platform, making it impossible to achieve coordinated responses across lanes and stations. 4. Prominent safety hazards: Manual cross-island operations pose safety risks, and manual inspections are inefficient at night or in bad weather, making it easy to miss special situation vehicles.

[0003] Existing technologies have attempted to introduce automated equipment (such as self-service payment machines and ETC systems) at some toll booths, but these systems suffer from several drawbacks: A lack of interoperability between lane devices prevents automatic triggering of special event handling processes. These systems only support basic monitoring functions and lack remote intervention capabilities (such as forced barrier lowering and voice notifications), requiring on-site personnel to operate. Special event alerts rely on manual judgment and lack an automated rules engine, resulting in high false alarm rates and delayed responses.

[0004] Therefore, it is necessary to provide a highway toll station remote seat duty and special vehicle handling system to solve the above problems. Summary of the Invention

[0005] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide a remote seat guard and special vehicle handling system for highway toll stations to solve the problems existing in the above-mentioned background technology.

[0006] The present invention is implemented as follows: a highway toll station remote seat attendance and special vehicle handling system, the system comprising: The front-end sensing layer is used to monitor vehicle status in real time. It is composed of lane equipment, including: photoelectric sensors, infrared height limit alarms, license plate recognition cameras, barrier machine magnetic sensors, ETC antennas, sound and light warning balls, and self-service equipment sensors; The network transmission layer connects lane equipment, booth cabinets, computer room core switches, and monitoring centers through optical fiber networks; The remote control layer consists of a remote agent center that can perform video surveillance, video intercom, and remote control. The abnormal alarm layer is used to issue early warnings for vehicle detention, vehicle overheight, ETC traffic failure, toll-evading vehicles, and barrier abnormalities, and to determine the handling process for special vehicle situations.

[0007] As a further solution of the present invention: the abnormal alarm layer includes: The vehicle detention detection module uses photoelectric sensors and time relays to detect vehicle detention time. If the timeout occurs, an alarm is triggered, and the detention lane number is automatically pushed to the remote agent's screen, and the handling process is announced by voice. The vehicle overheight alarm module uses an infrared height limit alarm to identify overheight vehicles. When a vehicle is overheight, it will sound and light alarms, automatically push the overheight lane number to the remote agent's screen, and voice broadcast the handling process; The ETC traffic fault prompt module automatically issues a voice warning when an OBU anomaly, a blacklist card, or excessive speed occurs, and simultaneously triggers a special situation work order on the agent side; The toll-evading vehicle warning module matches the identified license plate to a blacklist database. If a match is successful, a real-time alert is sent to the agent, the barrier is automatically lowered, and the agent is prompted to initiate a recovery order. The railing abnormality warning module detects the railing status through the magnetic sensor of the railing machine. If the railing is not lowered within the time limit, an audible and visual alarm will be issued to remind the seat to execute the remote forced lowering command.

[0008] As a further solution of the present invention: the remote seat center supports multi-dimensional monitoring, covers the entire vehicle traffic process through the lane panoramic camera, focuses on the license plate and cargo height through auxiliary close-up shots, and can intelligently analyze camera images and automatically mark abnormal behaviors, such as pedestrian intrusion and vehicle reversing.

[0009] As a further solution of the present invention: a video intercom and a one-button calling device are set in the lane, and the video intercom supports two-way video calls between the seat and the driver; the one-button calling device allows the driver to trigger the call button to directly reach the seat; the seat can remotely operate the charging software, control the rise and fall of the barrier machine, and reset the ETC equipment status.

[0010] As a further solution of the present invention: the steps of determining the special situation vehicle handling process specifically include: When the license plate recognition at the entrance fails, it is determined to be an entrance special situation, triggering a pop-up window alarm for the agent, who will activate the lane camera to verify the vehicle, ask the driver for information through the video intercom, remotely operate the card issuing machine to issue a card, and open the barrier to allow the vehicle to pass; When there is no entrance information at an exit, it is determined to be a special exit situation, an abnormal alarm is triggered, the vehicle is automatically intercepted, and an audio and visual prompt is given: waiting for verification. The remote agent center obtains the route information through video intercom, retrieves the gantry flow and AI image comparison, confirms the actual route, and the agent remotely re-enters the entrance information and generates the payment amount. The driver scans the code to pay. When an OBU abnormality triggers a voice broadcast and is determined to be an ETC lane fault, an audio and visual prompt will appear: Please wait, processing is in progress. The agent will receive the fault code simultaneously, remotely restart the antenna or switch to MTC mode to guide the driver to change routes.

[0011] As a further solution of the present invention: the remote seat center is provided with a main screen and a sub-screen, the main screen displays the lane panoramic monitoring and the equipment status instrument panel, the sub-screen displays the vehicle close-up picture, and is equipped with a physical emergency button, the emergency button includes: emergency drop bar, voice intercom and alarm trigger.

[0012] As a further solution of the present invention: the remote control layer is provided with a remote control server, and the remote control server adopts a dual-machine hot standby architecture to reduce the fault switching time; the self-service payment equipment in the lane supports offline transactions without network connection, and has a storage capacity of ≥1,000 transaction records.

[0013] As a further solution of the present invention: the dual-machine hot standby architecture includes a main server, a backup server, a data synchronization mechanism, and heartbeat detection and fault monitoring. The main server is responsible for processing real-time business requests, executing remote control instructions, and managing the status of all lane equipment and monitoring systems; the backup server is synchronized with the main server, receives data backup of the main server in real time, and is on standby, ready to take over the business at any time; the data synchronization mechanism ensures data consistency between the main and backup servers through data synchronization technology, and performs data integrity verification regularly; the main and backup servers communicate in real time through the heartbeat line to monitor each other's operating status. When the main server fails or cannot respond, the backup server will automatically trigger the fault switching process.

[0014] Compared with the prior art, the present invention has the following beneficial effects: This system integrates photoelectric sensors, infrared height limit alarms, license plate recognition cameras, and other devices to achieve real-time perception of vehicle status. This data is aggregated to a remote agent center via the network transmission layer, breaking down information silos. It can automatically handle special situations, automatically triggering alarms for incidents such as vehicle delays, overheight, ETC failures, toll evasion, and barrier anomalies, and forwarding the handling process to the remote agent, reducing manual intervention. It also enables precise remote control. Through video monitoring, video intercom, and remote control, the remote agent center can view the on-site situation in real time, interact with the driver, and remotely operate equipment such as barrier devices and sound and light warning balls, improving handling efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a structural diagram of the remote seat attendance and special vehicle handling system at highway toll stations.

[0016] Figure 2 This is a schematic diagram of the abnormal alarm layer in the remote agent monitoring and special vehicle handling system at highway toll stations. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0018] The specific implementation of the present invention is described in detail below with reference to specific embodiments.

[0019] like Figure 1 As shown, an embodiment of the present invention provides a system for remote agent attendance and special vehicle handling at a highway toll station, the system comprising: The front-end sensing layer 100 is used to monitor the vehicle status in real time. The front-end sensing layer is composed of lane equipment, including: photoelectric sensors, infrared height limit alarms, license plate recognition cameras, barrier machine magnetic sensors, ETC antennas, sound and light warning balls, and self-service equipment sensors; The network transmission layer 200 connects lane equipment, booth cabinets, computer room core switches, and monitoring centers through optical fiber networks; The remote control layer 300 is composed of a remote agent center that can perform video monitoring, video intercom, and remote control. The abnormal alarm layer 400 is used to issue early warnings for vehicle detention, vehicle overheight, ETC passage failure, toll-evading vehicles, and barrier abnormalities, and to determine the special vehicle handling process.

[0020] It should be noted that the embodiments of the present invention enable comprehensive sensing and linkage: integrating photoelectric sensors, infrared height limit alarms, license plate recognition cameras, and other devices to achieve real-time perception of vehicle status (location, height, and identity). This data is aggregated to a remote agent center via the network transport layer, breaking down information silos. It also enables automated handling of special situations: a pre-configured rule engine in the abnormal alarm layer automatically triggers alarms for special situations such as vehicle delays, overheight, ETC failures, fare evasion, and barrier anomalies, and pushes the handling process to remote agents, reducing manual intervention. It also enables precise remote control: through video surveillance, video intercom, and remote control, the remote agent center can view the on-site situation in real time, interact with drivers, and remotely operate equipment such as barrier devices and sound and light warning balls, improving handling efficiency. It also provides intelligent early warning and decision support: based on data such as license plate blacklists and ETC traffic records, the system automatically identifies vehicles that evade tolls and issues alarms. It also provides voice guidance to agents on initiating recovery instructions, reducing losses from fare evasion.

[0021] In an embodiment of the present invention, photoelectric sensors, infrared height limit alarms, license plate recognition cameras, barrier machine magnetic sensors, ETC antennas, sound and light warning balls, and self-service equipment sensors are installed in the lanes of the toll station. They will issue early warnings for vehicle detention, vehicle overheight, ETC passage failures, toll-evading vehicles, and barrier abnormalities, and automatically determine the special vehicle handling process.

[0022] like Figure 2 As shown, in this embodiment of the present invention, the abnormal alarm layer 400 includes: The vehicle detention detection module 401 detects the vehicle's detention time through a photoelectric sensor and a time relay. If the timeout is exceeded, an alarm is triggered, and the detention lane number is automatically pushed to the remote agent's screen. The handling process is announced by voice, and during the voice announcement, passengers are reminded not to reverse to avoid accidents. The vehicle overheight alarm module 402 uses an infrared height limit alarm to identify overheight vehicles. When the vehicle is overheight, it will sound and light alarms, automatically push the overheight lane number to the remote seat screen, and voice broadcast the handling process; The ETC traffic fault prompt module 403 automatically issues a voice warning when an OBU anomaly, a blacklist card, or excessive speed occurs, and simultaneously triggers a special situation work order on the agent side, allowing the agent to handle the situation; The toll evasion vehicle warning module 404 matches the identified license plate to the blacklist database. If a match is successful, a real-time alert is sent to the agent, and the barrier is automatically lowered, prompting the agent to initiate a recovery order. The vehicle can only be released after the recovery is completed. The barrier abnormality warning module 405 uses the barrier machine's magnetic sensor to detect the barrier's status. If the barrier fails to drop after a timeout, an audible and visual alarm will sound, reminding the agent to execute the remote forced barrier drop command. This reduces manual intervention and enables remote precision control.

[0023] Specifically, when an OBU anomaly, a blacklist card, or excessive speed occurs, an automatic voice warning is issued, and a special situation work order is triggered on the agent side. The ETC traffic fault composite detection mechanism is used to detect whether an OBU anomaly occurs. The specific operation steps of the ETC traffic fault composite monitoring mechanism are as follows: Obtain real-time signal strength value, check code error rate parameter, device baseline strength parameter, and check digit length parameter; The real-time signal strength value is divided by the device baseline strength parameter to obtain the signal attenuation coefficient; the number of check code errors is obtained by the check code error rate parameter; the total number of check bits is obtained based on the check bit length parameter; the number of check code errors is divided by the total number of check bits and input into the exponential survival function to obtain the exponential decay value of the probability of continuous check success; the signal attenuation coefficient is multiplied by the exponential decay value of the probability of continuous check success to obtain the multiplication result, and the multiplication result is complemented to obtain the OBU abnormality index; Obtain the duration of the device abnormal state and the device self-recovery period; perform logarithmic processing on the duration of the device abnormal state and then superimpose an exponential decay factor to obtain a weighted time correction; wherein the specific value of the exponential decay factor is the device self-recovery period; Obtain real-time traffic flow monitoring data, and determine dynamic traffic flow weights based on peak and off-peak monitoring data of roads in the real-time traffic flow monitoring data; Multiply the dynamic traffic weight by the OBU anomaly index to obtain the weighted OBU anomaly index; divide the weighted time correction amount by the weighted OBU anomaly index to obtain the original anomaly score; standardize the original anomaly score to obtain the ETC anomaly comprehensive score, and judge whether an OBU anomaly occurs based on the ETC anomaly comprehensive score.

[0024] Specifically, the magnetic sensor of the barrier machine detects the status of the barrier. If the barrier does not drop after the timeout, an audible and visual alarm will be issued to remind the seat to execute the remote forced barrier drop command. During the process, the barrier status is detected by the barrier abnormality warning mechanism equipped in the magnetic sensor of the barrier machine. The specific operating steps of the barrier abnormality warning mechanism are as follows: Obtain wind speed monitoring values ​​through a magnetic sensor, determine a baseline wind speed value and a real-time wind speed monitoring value based on the wind speed monitoring values; divide the real-time wind speed monitoring value by the baseline wind speed value, and then square the result to obtain a wind speed component; obtain the equipment maintenance interval duration, and convert the equipment maintenance interval duration into a maintenance duration component; and proportionally add the wind speed component to the maintenance duration component to obtain a dynamic environmental interference coefficient; wherein the proportion is determined by the wind speed monitoring value and the equipment maintenance interval duration. The device benchmark response time is obtained through a magnetic sensor, and the dynamic environmental interference coefficient is converted into a time correction value using a linear compensation method. The device benchmark response time and the time correction value are then superimposed to obtain the environmental adaptability response threshold. Obtain the real-time abnormal pulse frequency and the duration of the non-dropped rod, and determine the standard pulse frequency based on the real-time abnormal pulse frequency; perform a time-domain integration operation on the standard pulse frequency and the duration of the non-dropped rod to calculate the theoretical standard pulse frequency; calculate the ratio of the actual abnormal pulse frequency to the theoretical standard pulse frequency to obtain the pulse abnormality rate; The real-time magnetic induction intensity value, the standard closing threshold value, and the hysteresis tolerance value are obtained through the magnetic sensor. The absolute difference between the real-time magnetic induction intensity value and the standard closing threshold value is calculated and then divided by the hysteresis tolerance value to obtain the standardized magnetic induction offset. The ratio of the duration of the undropped rod to the environmental adaptability response threshold is calculated to obtain the ratio result. The ratio result is combined with the dynamic environmental interference coefficient to obtain the time decay coefficient. The normalized magnetic induction offset is weighted and summed using the pulse anomaly rate to obtain the physical state anomaly coefficient. The time decay coefficient and the physical state anomaly coefficient are substituted into the Cox proportional hazard model to obtain the equipment failure probability base. The device failure probability cardinality is mapped to a standard alarm interval through linear transformation, and the edge values ​​are then smoothed using a hyperbolic tangent function to generate a standardized abnormal alarm probability. This standardized abnormal alarm probability is used as the detection result of the railing status. Based on the detection result of the railing status, an audible and visual alarm is issued to remind the agent to execute the remote forced railing drop command.

[0025] In an embodiment of the present invention, the remote agent center supports multi-dimensional monitoring, covers the entire vehicle traffic process through a panoramic lane camera, focuses on the license plate and cargo height through auxiliary close-up cameras, and can intelligently analyze camera images and automatically mark abnormal behaviors, including pedestrian intrusion, vehicle reversing, and other abnormal situations.

[0026] In an embodiment of the present invention, a video intercom and a one-button calling device are provided in the lane. The video intercom supports two-way video calls between the seat and the driver; the one-button calling device allows the driver to trigger the call button to directly reach the seat; the seat can remotely operate the charging software, control the rise and fall of the barrier machine, and reset the ETC equipment status, making the operation more convenient.

[0027] In this embodiment of the present invention, the special vehicle handling process includes three scenarios: Scenario 1: When license plate recognition at the entrance fails, it is determined to be an entrance special situation, triggering a pop-up window alert from the agent. The agent activates the lane camera to verify the vehicle, asks the driver for information through video intercom, remotely operates the card dispenser to issue a card, and opens the barrier to allow the vehicle to pass. Scenario 2: When there is no entrance information at an exit, it is determined to be a special exit situation. An abnormal alarm is triggered, the vehicle is automatically intercepted, and an audio and visual prompt is issued: "Waiting for verification." The remote agent center obtains route information through video intercom, retrieves gantry flow and AI image comparison, confirms the actual route, and the agent remotely re-enters the entrance information and generates the payment amount. The driver then scans the code to pay. Scenario 3: When an OBU abnormality triggers a voice broadcast, it is determined that it is an ETC lane fault. An audio and visual prompt is issued: Please wait, processing is in progress. The agent receives the fault code simultaneously, remotely restarts the antenna or switches to MTC mode to guide the driver to change routes.

[0028] Specifically, when there is no entry information at the exit, it is determined to be an exit special situation. The specific steps are as follows: The actual travel time is obtained from the earliest travel time recorded in the gantry flow, the theoretical arrival time is obtained from the vehicle speed, and the maximum allowable time deviation threshold for the section is obtained from the path information. The absolute difference between the actual travel time and the theoretical arrival time is calculated to obtain the absolute time difference. The absolute time difference is divided by the maximum allowable time deviation threshold for the section to obtain the relative time deviation ratio. The relative time deviation ratio is then complemented to obtain the time reliability score. The original similarity score is obtained by AI image comparison, and the original similarity score is normalized and verified to obtain the calibrated AI image matching score value; Extract the discrete coordinate point set of the positioning data from the continuous positioning trajectory data uploaded by the vehicle-mounted device. Based on the coordinates of each discrete coordinate point set of the positioning data, calculate the distribution standard deviation of all points to obtain the GPS trajectory stability index value; Determine the time impact weight based on the gantry communication delay status, determine the AI ​​impact weight based on AI image comparison, and perform hierarchical mapping of GPS signal strength to obtain the GPS impact weight; Multiply the time reliability score by the time impact weight to obtain the time dimension contribution value; multiply the calibrated AI image matching score by the AI ​​impact weight to obtain the AI ​​dimension contribution value; multiply the GPS trajectory stability index value by the GPS impact weight to obtain the GPS deduction value; The time dimension contribution value, AI dimension contribution value and GPS deduction value are algebraically added to obtain the path score; the truncation threshold is determined by the system, and the path frequency is truncated based on the truncation threshold to obtain the final path score; the final path score is used to determine whether it is an export special situation and to initiate subsequent operations.

[0029] In this embodiment of the present invention, the remote agent center is equipped with a main screen and a secondary screen. The main screen displays a panoramic lane monitoring and equipment status dashboard, while the secondary screen displays a close-up of the vehicle and is equipped with physical emergency buttons, including emergency bar drop, voice intercom, and alarm trigger. This allows agents to fully understand lane information and operate it easily.

[0030] In this embodiment of the present invention, the remote control layer is equipped with a remote control server that utilizes a dual-machine hot standby architecture to reduce failover time, achieving a failover time of ≤2 seconds. Self-service payment devices in lanes support offline transactions and have a storage capacity of ≥1,000 transaction records, ensuring that transactions can proceed normally even in the event of a network outage and that transaction data is securely stored.

[0031] In an embodiment of the present invention, the dual-machine hot standby architecture includes a primary server, a backup server, a data synchronization mechanism, and heartbeat detection and fault monitoring. The primary server is responsible for processing real-time business requests, executing remote control instructions, and managing the status of all lane equipment and monitoring systems; the backup server is synchronized with the primary server, receives data backups from the primary server in real time, and is on standby, ready to take over the business at any time; the data synchronization mechanism adopts high-availability data synchronization technology (such as database replication, file system mirroring, etc.) to ensure data consistency between the primary and backup servers, and regularly performs data integrity checks to prevent business anomalies caused by data inconsistencies; the primary and backup servers communicate in real time through a heartbeat line to monitor each other's operating status. When the primary server fails or cannot respond, the backup server can detect the anomaly in a very short time (≤2 seconds) and automatically trigger the failover process.

[0032] In the embodiment of the present invention, the steps of the failover process are specifically as follows: Fault detection delay parameters and takeover preparation time parameters are read from the system configuration file, and the system average failure rate is obtained from the system historical operation log; Algebraically add the fault detection delay parameter and the takeover preparation time parameter to obtain the total switching time window value; The total switching time window value is used as the total time consumption. The total time consumption is converted from seconds to hours and then multiplied by the system average failure rate to obtain the time-failure rate correlation factor. The time-failure rate correlation factor is used as the negative exponential input of the exponential function, and the exponential function value with the natural constant as the base is calculated to obtain the basic risk attenuation value. The basic risk attenuation value is then complemented to obtain the time dimension risk coefficient. Divide the core system data into multiple categories, and then query each category of the core system data to obtain a real-time synchronization status report of the core system data. Use the real-time synchronization status report of the core coefficient data to compare the difference rate of the main server data to determine the synchronization failure probability table of each data type. Obtain the synchronization failure rate of each type of core data from the data synchronization failure probability table; perform reverse probability conversion on the synchronization failure rate of each type of core data to obtain the success rate of each type of data; and determine the synchronization success probability table of each type of data based on the success rate of each type of data; Based on the category priority of the divided core data, the synchronization success probability table of each type of data is traversed, and the success rate of each type of data is multiplied in sequence using chain multiplication to obtain the original comprehensive synchronization success rate; the original comprehensive synchronization success rate is calibrated to obtain the calibrated comprehensive synchronization success rate; The time dimension risk coefficient is multiplied by the calibrated comprehensive synchronization success rate to obtain the system switching success rate; the system switching success rate is used as the data source for controlling the fault switching and triggering the fault switching process.

[0033] In the embodiment of the present invention, in order to ensure network security, a security and redundancy design is carried out to separate the video stream from the control stream, the monitoring video and call video go through the dedicated VPN, and the control instructions go through an encrypted tunnel; and only the seat center IP is allowed to remotely access the lane equipment.

[0034] The above is only a detailed description of the preferred embodiments of the present invention, which is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

[0035] It should be understood that, although the various steps in the flow chart of each embodiment of the present invention are shown in sequence according to the indication of the arrows, these steps are not necessarily performed in sequence according to the order indicated by the arrows. Unless otherwise specified herein, the execution of these steps is not strictly limited in order, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0036] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When executed, the program can include the processes of the above-described method embodiments. Any reference to memory, storage, database, or other media used in the various embodiments provided herein may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM).

[0037] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the disclosure in the specification and examples. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered merely as exemplary, and the true scope and spirit of the present disclosure are indicated by the claims.

Claims

1. The highway toll station remote seat duty and special vehicle handling system is characterized by: The system comprises: The front-end sensing layer is used to monitor vehicle status in real time. It is composed of lane equipment, including: photoelectric sensors, infrared height limit alarms, license plate recognition cameras, barrier machine magnetic sensors, ETC antennas, sound and light warning balls, and self-service equipment sensors; The network transmission layer connects lane equipment, booth cabinets, computer room core switches, and monitoring centers through optical fiber networks; The remote control layer consists of a remote agent center that can perform video surveillance, video intercom, and remote control. The abnormal alarm layer is used to issue early warnings for vehicle detention, vehicle overheight, ETC traffic failure, toll-evading vehicles, and barrier abnormalities, and to determine the handling process for special vehicle situations.

2. The highway toll station remote seat attendance and special vehicle handling system according to claim 1 is characterized in that: The abnormal alarm layer includes: The vehicle detention detection module uses photoelectric sensors and time relays to detect vehicle detention time. If the timeout occurs, an alarm is triggered, and the detention lane number is automatically pushed to the remote agent's screen, and the handling process is announced by voice. The vehicle overheight alarm module uses an infrared height limit alarm to identify overheight vehicles. When a vehicle is overheight, it will sound and light alarms, automatically push the overheight lane number to the remote agent's screen, and voice broadcast the handling process; The ETC traffic fault prompt module automatically issues a voice warning when an OBU anomaly, a blacklist card, or excessive speed occurs, and simultaneously triggers a special situation work order on the agent side; The toll-evading vehicle warning module matches the identified license plate to a blacklist database. If a match is successful, a real-time alert is sent to the agent, the barrier is automatically lowered, and the agent is prompted to initiate a recovery order. The railing abnormality warning module detects the railing status through the magnetic sensor of the railing machine. If the railing is not lowered within the time limit, an audible and visual alarm will be issued to remind the seat to execute the remote forced lowering command.

3. The highway toll station remote seat attendance and special vehicle handling system according to claim 1 is characterized in that: The remote agent center supports multi-dimensional monitoring, covering the entire vehicle traffic process through panoramic lane cameras, focusing on license plates and cargo height through auxiliary close-up cameras, and can intelligently analyze camera images and automatically mark abnormal behaviors, including pedestrian intrusions and vehicle reversing.

4. The highway toll station remote seat attendance and special vehicle handling system according to claim 1 is characterized in that: The lane is equipped with a video intercom and a one-button calling device. The video intercom supports two-way video calls between the seat and the driver; the one-button calling device allows the driver to trigger the call button to reach the seat directly; the seat can remotely operate the charging software, control the rise and fall of the barrier machine, and reset the ETC equipment status.

5. The highway toll station remote seat attendance and special vehicle handling system according to claim 1 is characterized in that: Determine the steps for handling special situation vehicles, including: When the license plate recognition at the entrance fails, it is determined to be an entrance special situation, triggering a pop-up window alarm for the agent, who will activate the lane camera to verify the vehicle, ask the driver for information through the video intercom, remotely operate the card issuing machine to issue a card, and open the barrier to allow the vehicle to pass; When there is no entrance information at an exit, it is determined to be a special exit situation, an abnormal alarm is triggered, the vehicle is automatically intercepted, and an audio and visual prompt is given: waiting for verification. The remote agent center obtains the route information through video intercom, retrieves the gantry flow and AI image comparison, confirms the actual route, and the agent remotely re-enters the entrance information and generates the payment amount. The driver scans the code to pay. When an OBU abnormality triggers a voice broadcast and is determined to be an ETC lane fault, an audio and visual prompt will appear: Please wait, processing is in progress. The agent will receive the fault code simultaneously, remotely restart the antenna or switch to MTC mode to guide the driver to change routes.

6. The highway toll station remote seat attendance and special vehicle handling system according to claim 1 is characterized in that: The remote agent center is equipped with a main screen and a secondary screen. The main screen displays lane panoramic monitoring and equipment status dashboard, the secondary screen displays vehicle close-up images, and is equipped with physical emergency buttons, including emergency drop, voice intercom, and alarm trigger.

7. The highway toll station remote seat attendance and special vehicle handling system according to claim 1 is characterized in that: The remote control layer is provided with a remote control server, which adopts a dual-machine hot standby architecture to reduce the fault switching time; The self-service payment devices in the lanes support offline transactions and have a storage capacity of ≥1,000 transaction records.

8. The highway toll station remote seat attendance and special vehicle handling system according to claim 7 is characterized in that: The dual-machine hot standby architecture includes a main server, a backup server, a data synchronization mechanism, and heartbeat detection and fault monitoring. The main server is responsible for processing real-time business requests, executing remote control instructions, and managing the status of all lane equipment and monitoring systems; the backup server is synchronized with the main server, receives data backups from the main server in real time, and is on standby, ready to take over the business at any time; the data synchronization mechanism ensures data consistency between the main and backup servers through data synchronization technology, and performs data integrity checks regularly; the main and backup servers communicate in real time through a heartbeat line to monitor each other's operating status. When the main server fails or cannot respond, the backup server will automatically trigger the failover process.

9. The highway toll station remote seat attendance and special vehicle handling system according to claim 8 is characterized in that: The steps of the failover process specifically include: The backup server detects through heartbeat detection that the primary server is unresponsive or has an error, and issues an alarm to notify the operation and maintenance personnel to pay attention; After detecting a failure on the primary server, the backup server immediately initiates the takeover process, including loading the primary server's configuration files and checking the data synchronization status; After the takeover preparation is completed, the standby server begins processing new business requests and takes over the control of all lane equipment and monitoring systems; Automatically record failover events, including switchover time, cause, and impact scope, for subsequent analysis.

10. The highway toll station remote seat attendance and special vehicle handling system according to claim 1 is characterized in that: The video stream is separated from the control stream. The monitoring video and call video go through a dedicated VPN, and the control instructions go through an encrypted tunnel. Only the agent center IP is allowed to remotely access the lane equipment.

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