Highway toll analysis system and method based on artificial intelligence

Abstract

The invention provides a highway toll analysis system and method based on artificial intelligence, and relates to the technical field of highway toll auxiliary appliances, the highway toll analysis system comprises a lane group, a vehicle moving device and an analysis control unit, the lane group comprises an ETC lane, a standby lane and an artificial lane which are arranged in sequence, a radio frequency identification module is installed at an entrance of the ETC lane, and the vehicle moving device is connected with the analysis control unit. An ETC lane and a standby lane are arranged on the vehicle moving device, a vehicle moving opening is formed between the ETC lane and the standby lane, the vehicle moving device comprises a supporting chassis, driving wheels, a lifting platform, a lifting driving mechanism and a vehicle moving control unit, the analysis control unit comprises a main control chip, and the main control chip is connected with an ETC marking unit. According to the invention, rapid passing of the vehicle in the ETC lane is realized, behavior reminding is carried out when the vehicle enters the ETC lane next time, the situation that ETC identification fails again is avoided, and the passing efficiency of the ETC lane is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of highway toll collection auxiliary tools, and in particular to a highway toll collection analysis system and method based on artificial intelligence. Background Art

[0002] With the rapid development of the Internet, the toll collection method of highways has also changed from manual to ETC. At present, most lanes of most highway toll stations have been changed to ETC lanes, leaving only one or two manual toll lanes in each direction. However, due to the low traffic volume on weekdays, not all ETC lanes are open all the time, and only a few ETC lanes are open for traffic.

[0003] When a vehicle enters the ETC lane but the ETC recognition fails, there are usually two solutions. One is that the owner directly backs the vehicle out of the ETC lane and turns to the manual lane to pay manually. This method is only applicable when there are no other vehicles waiting in line behind the vehicle or there are very few vehicles waiting behind. The second is that after the staff of the toll station hears the alarm of the card-breaking, they come to the vehicle that failed to be recognized by the ETC, manually verify the vehicle information and enter the vehicle's traffic information, and then lift the gate railing in the ETC lane to allow the vehicle to drive out of the ETC lane. However, this will waste a lot of time, causing traffic congestion in the ETC lane, affecting the traffic efficiency of the high-speed toll station, and if the owner of the vehicle does not repair the ETC in time, the problem will occur again the next time it enters the ETC lane, which is very troublesome. On the other hand, other closed ETC lanes are idle for a long time, which also causes waste.

[0004] Therefore, there is a need for an artificial intelligence-based high-speed toll collection analysis system and method that can solve the above-mentioned problems. Summary of the invention

[0005] The present invention proposes a high-speed toll analysis system and method based on artificial intelligence, which can intelligently move and process vehicles that fail ETC recognition, thereby realizing the rapid passage of vehicles in the ETC lane. At the same time, a behavioral reminder is provided when the vehicle enters the ETC lane next time, thereby avoiding the recurrence of ETC recognition failure and improving the passage efficiency of the ETC lane.

[0006] One of the technical solutions of the present invention is achieved as follows:

[0007] The high-speed toll collection analysis system based on artificial intelligence includes a lane group, a vehicle moving device and an analysis control unit;

[0008] The lane group includes an ETC lane, a spare lane and a manual lane arranged in sequence, each of the ETC lane, the spare lane and the manual lane is equipped with a barrier, a roadside unit is arranged in the ETC lane, and a radio frequency identification module for identifying a fault mark on an OBU device is installed at the entrance of the ETC lane;

[0009] A car moving opening is provided between the ETC lane and the spare lane, the car moving device is provided in the car moving opening, the car moving device comprises a supporting chassis and a car moving control unit, four driving wheels are installed at the bottom of the supporting chassis, each of the driving wheels is installed on the supporting chassis through a steering drive mechanism, a groove is provided at the top of the supporting chassis, a lifting platform is provided in the groove, and a lifting drive mechanism is installed between the lifting platform and the groove;

[0010] The analysis and control unit includes a main control chip, which is communicatively connected to the roadside unit via a first communication module, and the main control chip is connected to an ETC marking unit.

[0011] As a preferred technical solution, the ETC marking unit includes a computer terminal, a first processor and a Bluetooth module. The first processor is electrically connected to the main control chip and the computer terminal, and the first processor is connected to the OBU device via Bluetooth through the Bluetooth module.

[0012] As a preferred technical solution, the vehicle moving control unit includes a second processor and a second communication module, the second processor and the second communication module are communicatively connected, the main control chip is communicatively connected to the second processor through the first communication module and the second communication module, a pressure sensor is installed on the top of the lifting platform, a first position detection element is installed at one end of the supporting chassis, and second position detection elements are provided at both ends of the top of the supporting chassis, and the pressure sensor, the first position detection element and the second position detection element are all electrically connected to the second processor.

[0013] As a preferred technical solution, the lifting drive mechanism includes a pair of lifting components, each of the lifting components includes a mounting seat, each of the mounting seats is connected to the lifting platform through a telescopic rod, a rotating screw is rotatably mounted on each of the mounting seats, each of the rotating screws is transmission-connected to a lifting drive motor, each of the lifting drive motors is electrically connected to the second processor, each of the rotating screws is provided with four threaded sections, the thread rotation direction of each threaded section is opposite to the thread rotation direction of the adjacent threaded sections, a sliding seat is threadedly mounted on each of the threaded sections, a first support arm is hingedly connected between each of the sliding seats and the lifting platform, and a second support arm is hingedly connected between each of the sliding seats and the support chassis.

[0014] As a preferred technical solution, each of the steering drive mechanisms includes a steering seat rotatably mounted on the supporting chassis, each of the driving wheels is rotatably mounted on the steering seat, each of the steering seats is mounted with a reduction motor, the motor shaft of each reduction motor is drivingly connected to the corresponding driving wheel, a steering drive motor is mounted on one side of each steering seat, each of the steering drive motor and the reduction motor is electrically connected to the second processor, a driving gear is fixedly mounted on the motor shaft of each steering drive motor, a driven gear is fixedly mounted on each steering seat, and each of the driven gears is meshed with the driving gear.

[0015] Another technical solution of the present invention is achieved in this way:

[0016] The high-speed toll collection analysis method based on artificial intelligence, the process of passing through the ETC lane includes the following steps:

[0017] S1. When a vehicle equipped with ETC drives into the ETC lane, the roadside unit identifies the vehicle's ETC. If the identification passes, the barrier automatically lifts to allow the vehicle to pass;

[0018] S2. If the recognition fails, the roadside unit issues a card-breaking alarm, prompting the car owner to stop and wait, and sends a signal of ETC recognition failure to the analysis and control unit, which sends a signal to the car moving device and the ETC marking unit;

[0019] S3, after receiving the signal, the vehicle moving device enters the ETC lane and moves to the bottom of the vehicle according to the detected position information, then lifts the vehicle up using the lifting platform, moves the vehicle to the spare lane, and finally puts the vehicle down and moves it back to the origin;

[0020] S4. The vehicle owner drives the vehicle to the side of the manual toll booth and turns on the Bluetooth of the OBU device according to the staff's instructions. The staff determines the reason why the ETC is not recognized successfully based on the status of the OBU device, vehicle information, etc., and marks the reason why the ETC is not recognized successfully through the ETC marking unit;

[0021] S5. After the staff has completed the manual payment for the vehicle, they will control the gate barrier in the spare lane to lift up, and the vehicle will enter the expressway through the spare lane;

[0022] S6. When the vehicle with the marked OBU device enters the ETC lane again, the RFID module identifies the fault mark in the OBU device and feeds back a signal to the OBU device, so that the voice announcer on the OBU device makes a voice announcement, prompting the vehicle owner to slow down or enter the manual lane to remove the mark.

[0023] By adopting the above technical solution, the beneficial effects of the present invention are as follows:

[0024] Since the highway toll collection analysis system based on artificial intelligence includes a lane group, a vehicle moving device and an analysis control unit, in the present invention, each direction of the highway toll station includes at least one lane group. When a vehicle passes through the ETC lane of the lane group, if ETC recognition fails, the roadside unit in the ETC lane can automatically transmit the recognition failure signal to the analysis control unit. The analysis control unit controls the vehicle moving device to enter the ETC lane and automatically moves the vehicle, thereby quickly moving the vehicle that failed to be recognized out of the ETC lane, avoiding traffic jams behind the vehicle due to the inability of the vehicle to pass, thereby realizing the rapid passage of vehicles in the ETC lane and improving the passage efficiency of the ETC lane.

[0025] Since the lane group includes an ETC lane, a spare lane and a manual lane which are arranged in sequence, in the present invention, the spare lane is an unopened ETC lane, and the idle ETC lane is utilized. The vehicle moving device moves the vehicle to the spare lane next to it. A manual toll booth for manual toll collection is arranged between the manual lane and the spare lane. The vehicle in the spare lane drives to the manual toll booth by itself, and the staff can check and mark the OBU equipment on the vehicle. The vehicle can be released after the payment operation is completed, thereby realizing the rapid processing of vehicles that fail ETC recognition, thereby improving the traffic efficiency.

[0026] Since a radio frequency identification module for identifying fault marks on the OBU device is installed at the entrance of the ETC lane, in the present invention, before the vehicle enters the ETC lane, the radio frequency identification module will identify the mark on the OBU device. If the fault mark is identified, the voice announcer on the OBU device will make a voice announcement to remind the car owner to go to the manual lane to remove the mark, so as to avoid the situation where the vehicle's ETC recognition fails again and affects the passage of vehicles in the ETC lane, thereby improving the passage efficiency of the ETC lane. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0028] Figure 1 It is a structural schematic diagram of the present invention;

[0029] Figure 2 It is a structural schematic diagram of the vehicle moving device in the present invention;

[0030] Figure 3 for Figure 2 Schematic diagram of the left side;

[0031] Figure 4 It is a structural schematic diagram of the vehicle moving device in the present invention in a lifting state;

[0032] Figure 5 It is a connection diagram of the analysis control unit in the present invention;

[0033] Figure 6 It is a schematic diagram of the ETC lane passage process in the present invention.

[0034] Among them: 1. ETC lane; 2. Spare lane; 3. Manual lane; 4. Manual toll booth; 5. Gate railing; 6. Roadside unit; 7. OBU equipment; 8. Voice announcer; 9. Car moving opening; 10. Support chassis; 11. Analysis control unit; 12. Radio frequency identification module; 13. Car moving control unit; 14. Driving wheel; 15. Groove; 16. Lifting platform; 17. Main control chip; 18. First communication module; 19. ETC marking unit; 20. Vehicle; 21. Computer terminal; 2 2. First processor; 23. Bluetooth module; 24. Second processor; 25. Second communication module; 26. Pressure sensor; 27. First position detection element; 28. Second position detection element; 29. ​​Mounting seat; 30. Telescopic rod; 31. Rotating screw; 32. Lifting drive motor; 33. Threaded section; 34. Sliding seat; 35. First support arm; 36. Second support arm; 37. Steering seat; 38. Reduction motor; 39. Steering drive motor; 40. Driving gear; 41. Driven gear. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] Embodiment 1

[0037] like Figure 1-Figure 5 As shown together, the high-speed toll collection analysis system based on artificial intelligence includes a lane group, a vehicle moving device and an analysis control unit 11.

[0038] The lane group includes an ETC lane 1, a spare lane 2 and a manual lane 3 which are arranged in sequence, and the spare lane 2 is an unopened ETC lane 1. The idle ETC lane 1 is utilized, and the vehicle moving device moves the vehicle 20 to the spare lane 2 next to it. A manual toll booth 4 for manual toll collection is arranged between the manual lane 3 and the spare lane 2. The vehicle 20 in the spare lane 2 drives to the manual toll booth 4 by itself, and the staff can check and mark the OBU device 7 on the vehicle 20. After the vehicle 20 completes the payment operation, it can be released, thereby realizing the rapid processing of the vehicle 20 that fails to be identified by the ETC, thereby improving the traffic efficiency of the vehicle 20 in the ETC lane 1; the ETC lane 1, the spare lane 2 and the manual lane 3 are all equipped with a gate railing 5, and the ETC lane 1 is provided with a roadside unit 6. In this embodiment, the roadside unit 6 includes a roadside ETC antenna, a coil detector, an automatic license plate recognition system, a lane controller, a traffic signal light, a fee display, a lane camera and other components, and their connection methods and principles are all prior art, which are well known to those skilled in the art and will not be repeated here.

[0039] A radio frequency identification module 12 for identifying a fault mark on the OBU device 7 is installed at the entrance of the ETC lane 1. In the present embodiment, the radio frequency identification module 12 adopts the JF-8380UHF medium-range electronic tag reader / writer produced by Shenzhen Jitong Technology Co., Ltd. The radio frequency identification module 12 is used to identify the mark on the OBU device 7. If a fault mark is identified, the voice announcer 8 on the OBU device 7 will make a voice announcement to remind the owner of the behavior and let the owner go to the manual lane 3 to remove the mark, so as to avoid the situation where the ETC recognition of the vehicle 20 fails again and affects the passage of the vehicle 20 in the ETC lane 1.

[0040] A car moving opening 9 is provided between the ETC lane 1 and the spare lane 2. A car moving device is provided in the car moving opening 9. The car moving device includes a supporting chassis 10 and a car moving control unit 13. Four driving wheels 14 are installed at the bottom of the supporting chassis 10. Each driving wheel 14 is installed on the supporting chassis 10 through a steering drive mechanism. A groove 15 is provided at the top of the supporting chassis 10. A lifting platform 16 is provided in the groove 15. A lifting drive mechanism is installed between the lifting platform 16 and the groove 15.

[0041] The analysis and control unit 11 includes a main control chip 17, which is connected to the roadside unit 6 for communication via a first communication module 18. The main control chip 17 is connected to an ETC marking unit 19. In this embodiment, the main control chip 17 uses a Siemens S7-1200 PLC controller, and the first communication module 18 uses a DTD434MB wireless communication module produced by Xi'an Datai Electronics Co., Ltd.

[0042] In the present invention, if ETC recognition fails, the roadside unit 6 can automatically transmit the recognition failure signal to the analysis and control unit 11. The analysis and control unit 11 controls the vehicle moving device to enter the ETC lane 1 and performs automatic vehicle moving service for the vehicle 20, thereby quickly moving the vehicle 20 that failed to be recognized out of the ETC lane 1, avoiding the situation where the rear vehicle 20 is stuck in traffic due to the inability of the vehicle 20 to pass, thereby realizing the rapid passage of the vehicle 20 in the ETC lane 1 and improving the passage efficiency of the ETC lane 1.

[0043] Among them, the ETC marking unit 19 includes a computer terminal 21, a first processor 22 and a Bluetooth module 23. The first processor 22 is electrically connected to the main control chip 17 and the computer terminal 21. The first processor 22 is connected to the OBU device 7 via Bluetooth through the Bluetooth module 23. In this embodiment, the first processor 22 adopts a Siemens S7-1200 model PLC controller, and the Bluetooth module 23 adopts an E104-BT53A1 model Bluetooth module produced by Chengdu Yibite Electronic Technology Co., Ltd.

[0044] Moreover, the car moving control unit 13 includes a second processor 24 and a second communication module 25, the second processor 24 and the second communication module 25 are communicatively connected, the main control chip 17 is communicatively connected to the second processor 24 through the first communication module 18 and the second communication module 25, a pressure sensor 26 is installed on the top of the lifting platform 16, a first position detection element 27 is installed at one end of the supporting chassis 10, and second position detection elements 28 are provided at both ends of the top of the supporting chassis 10, the pressure sensor 26, the first position detection element 27 and the second position detection element 28 are all electrically connected to the second processor 24, in the present invention, the second processor 24 adopts a Siemens S7-1200 model PLC controller, the second communication module 25 adopts a DTD434MB model wireless communication module produced by Xi'an Datai Electronics Co., Ltd., the first position detection element 27 and the second position detection element 28 adopt optoNCDT1420 model laser displacement sensor of Miyi (Beijing) Testing Technology Co., Ltd., and the pressure sensor 26 adopts a GEMS-3200 series heavy-duty pressure sensor produced by Shanghai Zhongsheng Electromechanical Co., Ltd.

[0045] like Figure 2-Figure 4As shown together, the lifting drive mechanism includes a pair of lifting components, each of which includes a mounting seat 29, each of which is connected to the lifting platform 16 through a telescopic rod 30, and each mounting seat 29 is rotatably mounted with a rotating screw 31, each of which is transmission-connected to a lifting drive motor 32, and each of which is electrically connected to the second processor 24, and each of which is provided with four threaded sections 33, and the thread rotation direction of each threaded section 33 is opposite to the thread rotation direction of the adjacent threaded section 33, and each of which is threadedly mounted with a sliding seat 34, and each of which is hinged with a first support arm 35 between each of which is hinged with the lifting platform 16, and each of which is hinged with a second support arm 36 between each of which is hinged with the support chassis 10.

[0046] Among them, each steering drive mechanism includes a steering seat 37 rotatably mounted on the supporting chassis 10, each driving wheel 14 is rotatably mounted on the steering seat 37, each steering seat 37 is equipped with a reduction motor 38, the motor shaft of each reduction motor 38 is transmission-connected to the corresponding driving wheel 14, a steering drive motor 39 is installed on one side of each steering seat 37, each steering drive motor 39 and the reduction motor 38 are electrically connected to the second processor 24, a driving gear 40 is fixedly mounted on the motor shaft of each steering drive motor 39, and a driven gear 41 is fixedly mounted on each steering seat 37, and each driven gear 41 is meshed with the driving gear 40.

[0047] Embodiment 2

[0048] like Figure 1-Figure 6 As shown in the figure, the high-speed toll collection analysis method based on artificial intelligence includes the following steps:

[0049] S1. After the vehicle 20 equipped with ETC drives into the ETC lane 1, the roadside unit 6 identifies the ETC of the vehicle 20. If the identification is successful, the gate railing 5 is automatically lifted to allow the vehicle 20 to pass. In the present invention, after the roadside unit 6 detects that the vehicle 20 has entered the ETC lane 1, it sends an inquiry signal. After the OBU device 7 on the vehicle 20 senses the signal, it responds and reports the information of the vehicle 20. The roadside unit 6 identifies the reported information of the vehicle 20. If the identification is successful, the gate railing 5 is automatically lifted to allow the vehicle 20 to pass. The roadside unit 6 completes the communication with the IC card in the OBU device 7, and then completes the deduction operation.

[0050] S2. If the recognition fails, the roadside unit 6 issues a card-breaking alarm, prompting the vehicle owner to stop and wait, and sends a signal of ETC recognition failure to the analysis and control unit 11, which sends a signal to the vehicle moving device and the ETC marking unit 19.

[0051] S3, after receiving the signal, the vehicle moving device enters the ETC lane 1, and moves to the bottom of the vehicle 20 according to the detected position information, then lifts the vehicle 20 using the lifting platform 16, moves the vehicle 20 to the spare lane 2, and finally puts the vehicle 20 down and moves it back to the origin. In this embodiment, the operation of moving the vehicle 20 using the vehicle moving device is as follows:

[0052] In the first step, after receiving the vehicle moving signal sent by the main control chip 17, the second processor 24 controls all the reduction motors 38 to start, and the reduction motors 38 drive the driving wheels 14 to rotate, and the driving wheels 14 drive the supporting chassis 10 to move, so that the supporting chassis 10 enters the ETC lane 1. At this time, the first detection element detects the position of the vehicle 20. When the first detection element detects that the vehicle moving device moves between the wheels on both sides of the vehicle 20, a signal is sent to the second processor 24, and the second processor 24 controls the reduction motor 38 to stop;

[0053] In the second step, the second processor 24 controls the steering drive motor 39 to start, and the steering drive motor 39 drives the steering seat 37 and the driving wheel 14 to rotate 90 degrees. Then, the second processor 24 controls the reduction motor 38 to start again, and drives the supporting chassis 10 to move toward the direction close to the vehicle 20, so that the supporting chassis 10 moves to the bottom of the vehicle 20. When the second detection element detects that one end of the vehicle moving device leaves the bottom of the vehicle 20, and the other end does not enter the bottom of the vehicle 20, a signal is sent to the second processor 24, and the second processor 24 controls the reduction motor 38 to stop.

[0054] In the third step, the second processor 24 controls the lifting drive motor 32 to start, and the lifting drive motor 32 drives the rotating screw 31 to rotate. The rotation of the screw drives the sliding seat 34 to move on the threaded section 33, so that the first support arm 35 and the second support arm 36 rotate and stand up at the same time, thereby driving the lifting platform 16 to rise, and the lifting platform 16 gradually approaches the bottom of the vehicle 20 and lifts the vehicle 20. When the data detected by the pressure sensor 26 continues to increase and remains stable, a signal is sent to the second processor 24, and the second processor 24 controls the lifting drive motor 32 to stop;

[0055] In the fourth step, the second processor 24 controls the reduction motor 38 to start, driving the supporting chassis 10 and the vehicle 20 to move back. When the supporting chassis 10 is aligned with the vehicle moving opening 9, the second processor 24 controls the reduction motor 38 to stop, and the steering drive motor 39 to start. After the steering seat 37 and the driving wheel 14 are rotated 90°, the second processor 24 controls the steering drive motor 39 to stop, and the reduction motor 38 to start, driving the supporting chassis 10 and the vehicle 20 to pass through the vehicle moving opening 9 and enter the spare lane 2.

[0056] In the fifth step, when the vehicle 20 completely enters the spare lane 2, the second processor 24 controls the lifting drive motor 32 to start, and the lifting drive motor 32 drives the rotating screw 31 to rotate in the opposite direction, so that the lifting platform 16 falls, and the wheels of the vehicle 20 fall completely to the ground, and then the reduction motor 38 is controlled to start, driving the supporting chassis 10 back to the origin.

[0057] S4, the vehicle owner drives the vehicle 20 to the side of the manual toll booth 4, and turns on the Bluetooth of the OBU device 7 according to the instructions of the staff. The staff determines the reason why the ETC is not successfully recognized according to the status of the OBU device 7, the information of the vehicle 20, etc., and marks the reason why the ETC is not successfully recognized through the ETC marking unit 19. In the present invention, after the computer terminal 21 of the staff is connected to the OBU device 7, the staff can view the vehicle 20 information in the OBU device 7 and mark the vehicle 20 information in the OBU device 7. If the ETC is not successfully recognized, the staff can check the vehicle 20 information in the OBU device 7. When the reason for C recognition failure is that vehicle 20 is traveling too fast, the staff needs to remind the owner to slow down when in ETC lane 1, and the speed needs to be below 20km / h so that the ETC of vehicle 20 can be successfully recognized. At the same time, the staff registers a mark of ETC recognition failure due to excessive speed in the vehicle 20 information; if the reason for ETC recognition failure is a failure of OBU device 7 or arrears of IC card fees, the staff needs to remind the owner to go for repairs in time, and register a mark of ETC recognition failure due to failure of OBU device 7 or arrears of IC card fees in the vehicle 20 information.

[0058] S5. After the staff completes the manual payment for the vehicle 20, the staff controls the gate barrier 5 in the spare lane 2 to lift, and the vehicle 20 enters the expressway through the spare lane 2.

[0059] S6, when the vehicle 20 marked by the OBU device 7 enters the ETC lane 1 again, the radio frequency identification module 12 identifies the fault mark in the OBU device 7, and feeds back a signal to the OBU device 7, so that the voice announcer 8 on the OBU device 7 performs voice broadcasting, prompting the owner to slow down or enter the manual lane 3 to remove the mark. In the present invention, if the reason why the OBU device 7 is marked for unsuccessful identification is that the OBU device 7 fails or the IC card is in arrears, the voice prompt broadcast by the voice announcer 8 is "your vehicle 20 ETC fault, cannot be successfully identified, please go to the manual lane 3 for manual payment, if you have completed the maintenance, please go to the manual lane 3 to cancel the fault mark on your ETC"; if the reason why the OBU device 7 is marked for unsuccessful identification is that the vehicle 20 is traveling too fast, the voice prompt broadcast by the voice announcer 8 is "your vehicle 20 has been repeatedly unrecognized due to excessive speed and ETC has not been successfully identified, please slow down to avoid recognition failure again".

[0060] In summary, the artificial intelligence-based high-speed toll analysis system and method proposed in the present invention can intelligently move and process the vehicle 20 that fails ETC recognition, thereby realizing the rapid passage of the vehicle 20 in the ETC lane 1. At the same time, a behavioral reminder is provided when the vehicle 20 enters the ETC lane 1 next time, thereby avoiding the recurrence of ETC recognition failure and improving the passage efficiency of the ETC lane 1.

[0061] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. The high-speed toll collection analysis system based on artificial intelligence is characterized by: It includes lane group, vehicle moving device and analysis control unit; The lane group includes an ETC lane, a spare lane and a manual lane arranged in sequence, each of the ETC lane, the spare lane and the manual lane is equipped with a barrier, a roadside unit is arranged in the ETC lane, and a radio frequency identification module for identifying a fault mark on an OBU device is installed at the entrance of the ETC lane; A car moving opening is provided between the ETC lane and the spare lane, the car moving device is provided in the car moving opening, the car moving device comprises a supporting chassis and a car moving control unit, four driving wheels are installed at the bottom of the supporting chassis, each of the driving wheels is installed on the supporting chassis through a steering drive mechanism, a groove is provided at the top of the supporting chassis, a lifting platform is provided in the groove, and a lifting drive mechanism is installed between the lifting platform and the groove; The analysis and control unit includes a main control chip, which is communicatively connected to the roadside unit via a first communication module, and the main control chip is connected to an ETC marking unit.

2. The artificial intelligence-based high-speed toll collection analysis system according to claim 1, characterized in that: The ETC marking unit includes a computer terminal, a first processor and a Bluetooth module. The first processor is electrically connected to the main control chip and the computer terminal, and the first processor is connected to the OBU device via Bluetooth via the Bluetooth module.

3. The artificial intelligence-based high-speed toll collection analysis system according to claim 2, characterized in that: The vehicle moving control unit includes a second processor and a second communication module, the second processor is communicatively connected to the second communication module, the main control chip is communicatively connected to the second processor through the first communication module and the second communication module, a pressure sensor is installed on the top of the lifting platform, a first position detection element is installed at one end of the supporting chassis, and second position detection elements are provided at both ends of the top of the supporting chassis, and the pressure sensor, the first position detection element and the second position detection element are all electrically connected to the second processor.

4. The artificial intelligence-based high-speed toll collection analysis system according to claim 3 is characterized in that: The lifting drive mechanism includes a pair of lifting components, each of the lifting components includes a mounting seat, each of the mounting seats is connected to the lifting platform through a telescopic rod, a rotating screw is rotatably mounted on each of the mounting seats, each of the rotating screws is transmission-connected to a lifting drive motor, each of the lifting drive motors is electrically connected to the second processor, each of the rotating screws is provided with four threaded sections, the thread rotation direction of each threaded section is opposite to the thread rotation direction of the adjacent threaded sections, a sliding seat is threadedly mounted on each of the threaded sections, a first support arm is hingedly connected between each of the sliding seats and the lifting platform, and a second support arm is hingedly connected between each of the sliding seats and the supporting chassis.

5. The artificial intelligence-based high-speed toll collection analysis system according to claim 4 is characterized in that: Each of the steering drive mechanisms includes a steering seat rotatably mounted on the supporting chassis, each of the driving wheels is rotatably mounted on the steering seat, each of the steering seats is mounted with a reduction motor, the motor shaft of each reduction motor is drivingly connected to the corresponding driving wheel, a steering drive motor is mounted on one side of each of the steering seats, each of the steering drive motors and the reduction motor is electrically connected to the second processor, a driving gear is fixedly mounted on the motor shaft of each of the steering drive motors, a driven gear is fixedly mounted on each of the steering seats, and each of the driven gears is meshed with the driving gear.

6. The high-speed toll collection analysis method based on artificial intelligence is characterized by: The following steps are involved: S1. When a vehicle equipped with ETC drives into the ETC lane, the roadside unit identifies the vehicle's ETC. If the identification passes, the barrier automatically lifts to allow the vehicle to pass; S2. If the recognition fails, the roadside unit issues a card-breaking alarm, prompting the car owner to stop and wait, and sends a signal of ETC recognition failure to the analysis and control unit, which sends a signal to the car moving device and the ETC marking unit; S3, after receiving the signal, the vehicle moving device enters the ETC lane and moves to the bottom of the vehicle according to the detected position information, then lifts the vehicle up using the lifting platform, moves the vehicle to the spare lane, and finally puts the vehicle down and moves it back to the origin; S4. The vehicle owner drives the vehicle to the side of the manual toll booth and turns on the Bluetooth of the OBU device according to the staff's instructions. The staff determines the reason why the ETC is not recognized successfully based on the status of the OBU device, vehicle information, etc., and marks the reason why the ETC is not recognized successfully through the ETC marking unit; S5. After the staff has completed the manual payment for the vehicle, they will control the gate barrier in the spare lane to lift up, and the vehicle will enter the expressway through the spare lane; S6. When the vehicle with the marked OBU device enters the ETC lane again, the RFID module identifies the fault mark in the OBU device and feeds back a signal to the OBU device, so that the voice announcer on the OBU device makes a voice announcement, prompting the vehicle owner to slow down or enter the manual lane to remove the mark.

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